| |
|
|
|
|
|
|
Up-date: Diabetes and Cardiovascular Diseases (II).
Volume 55, Issue 06, June 2002
|
|
|
Epidemiology of Diabetes and its Non-Coronary Complications
Alberto Godaya
a Servicio de Endocrinología. Hospital Universitario del Mar. Barcelona.
Rev Esp Cardiol. 2002;55:657-70.
Diabetes mellitus is among the diseases with great impact on health and society, not only for its high prevalence but also for its chronic complications and high mortality. The most precise method to investigate the prevalence of diabetes is by oral glucose tolerance testing. In Spain, the prevalence of diabetes in the 30-65 year-old population is estimated to be 6.5% among 30-to-65- year old, and 10.3% among the 30-to-89 year-old population. The ratio of known to unknown diabetes ranges from 1:3 to 2:3. The incidence of diabetes mellitus type 2 in Spain is 8/1000 persons per year, and the incidence of type 1 is 11 to 12 cases per 100,000 persons per year. The prevalence of chronic complications varies according to type of diabetes, time since onset and degree of metabolic control: neuropathy 25%, retinopathy 32% and nephropathy 23%. Diabetes is one of the most important causes of death in Spain, occupying third place for women and
seventh for men.
Keywords: Diabetes mellitus. Incidence. Prevalence. Spain.
INTRODUCTION
Diabetes
mellitus (DM) is one of the most prevalent diseases and has major
societal health consequences, not just because of its high
prevalence rate, but also because it causes chronic complications
and is a risk factor for cardiovascular disease. When data on
certain diseases are cited, they are often given in the context of
U.S. or other Anglo-Saxon countries´ values because of the
lack of data in this country (Spain); or in some instances because
the Anglo-Saxon data are considered more trustworthy than Spanish
data. It is evident that if we want to know the impact of an
illness in our country, we would have epidemiological data
available on our population.
Over the last
few years, epidemiological studies have been performed in Spain
that have provided solid data on the most relevant aspects of the
epidemiology of diabetes in this country.
METHODS OF ESTIMATING THE PREVELANCE OF DIABETES
MELLITUS
The prevalence
of diabetes can by estimated by a number of methods: medical
records, prescription drug use, random interviews of sample
populations, and clinical tests (fasting or random) or by use of
glucose tolerance testing (OGTT). The results of the OGTT vary
according to the criteria applied,2,3 and different
methods provide different information. A survey of the population,
therefore, provides information on DM that had been diagnosed; a
survey of physicians provides information on DM that is diagnosed
and controlled; a sample of clinical histories provides information
on DM that is diagnosed and documented in the population receiving
treatment and the drugs used; information on the use of drugs
provides information on DM diagnosed and pharmacologically treated;
random glucose testing provided information on diabetes that is
diagnosed and overlooked; and finally, the OGTT identifies DM that
is known and untreated, as well as identifying those at risk for
DM.
For years the
only known data on the prevalence of DM in Spain were from
self-declared cases in the population surveyed or those reported by
physicians4,5 based on estimates of diabetes treated
with drugs using the defined daily dose method6
(consisting of the mean dose established by previous standardized
studies on an international scale) or the prescribed daily dose
method (based on calculating the mean dose used in the area in
question by a sample of prescribing physicians).7,8 All
these studies are undoubtedly of interest, particularly due to the
lack of OGTT studies in the general population. Nevertheless, the
prevalence of DM is under-reported because studies do not include
cases treated by diet alone, disease that is untreated, or disease
that it not recorded. We documented, therefore, studies that used
OGTT to document the prevalence of diabetes in the general
population.
PREVALENCE OF KNOWN AND UNTREATED TYPE 2 DIABETES IN
SPAIN
Table 1 is a
summary of the data published in Spain.9-17 Recently,
excellent studies on the overall prevalence of diabetes in our
country have been performed that offer data from the general public
on known and untreated DM, as well as altered glucose tolerance
(AGT). In the province of León (population 530 983) there is
a cross-sectional study on the adult population (older than 18
years of age) performed by a random multiple sample of 572
individuals who were given a questionnaire that dealt with
hypoglycemic medication, baseline capillary glycemia, and
OGTT.9 The criteria used for evaluation were in
accordance with those proposed by the World Health Organization
(WHO) in 1985. The overall prevalence of diabetes was 5.6% (95%
confidence interval [CI], 3.7% to 7.5%), diagnosed diabetes was
3.9% (95% CI, 2.3% to 5.5%), and undiagnosed diabetes, 1.7% (95%
CI, 0.7% to 2.9%), with a ratio of known to unknown diabetes of
2.2:1, respectively. Risk factors for diabetes were age, family
history of diabetes, and obesity.9

A
cross-sectional study was performed in Lejona (Vizcaya) between
1984 and 1985 to establish the prevalence of type 2 diabetes
mellitus (DM2) in a sample of 862 inhabitants over the age of 30
years randomly selected from a population of 11 515
inhabitants.10 The prevalence of DM was 6.4%; 3.6% was
undiagnosed DM and 2.8%, diagnosed. The prevalence of AGT, also
known as glucose intolerance or hydrocarbon intolerance, was 10.4%.
The most significant risk factors associated with DM2 prevalence
were age, body mass index (BMI), and systolic arterial pressure
(SAP).11,12
The prevalence
of DM2 in Cataluña13 was established by double
sampling the population for age and sex groups representative of
the general population of Cataluña. The sample consisted of
3839 individuals aged 30 to 89 years. An OGTT was administered to
detect diagnosed, undiagnosed, and AGT diabetes, using the 1985 WHO
criteria. The total prevalence of diabetes for the group aged 30 to
89 years was 10.3% (95% CI, 9.1% to 11.6%), with a diagnosed rate
of 6.4%, an undiagnosed rate if 3.9%, and an AGT rate of 11.9% for
males, and an diagnosed rate of 6.9%, undiagnosed rate of 3.4%, and
AGT rate of 11.9% for women. The adjusted prevalence for the group
30 to 64 years of age was 6.1% (7.1% in men and 5.2% in women).
Risk factors associated with DM were age, obesity, arterial
hypertension, and family history of diabetes. With regard to age,
prevalence was lowest in the group aged 30 to 49 years, with a rate
of 2.5% (95% CI, 1.4% to 3.6%), and highest in the group aged 70 to
89 years, with a rate of 24% (95% CI, 19.7% to 28.3%). It is
important to note that when a prevalence rate is given, it is
fundamental to specify the age group in question.
The Guía
study was performed in Nuestra Señora de Guía, which
is located in the northwestern part of Gran Canaria
island.16 The particulars are that the majority of the
population are natives of the Canary Islands, defined as 3 of 4
grandparents born in the Canary Islands; there is very little
foreign population. The town has 12 383 inhabitants. In addition to
the municipal sample, a stratified random sample was taken by sex
and increments of 5-years in age groups beginning with 30 and
grouping those 85 years and over into a single group. The number of
people to be sampled at each 5-year level was calculated, with the
population considered finite, estimating a 10% prevalence and a
margin of error of less than 6% with a 95% CI, using the SAMPLE
program. Six hundred and ninety-one inhabitants participated in the
study, which represented a median response rate of 76.4%. The
response rate was similar in all age and sex groups. DM prevalence
was 15.9% (according to 1997 ADA criteria)3 and 18.7%
(according to 1985 WHO criteria)2; baseline glucose
intolerance prevalence was 8.8% and AGT was 17.1%. DM prevalence
adjusted per Segi world population was 12.4% (1985 WHO criteria).
This represents a higher prevalence than in the rest of
Europe.16
The most recent
DM prevalence study was performed in Asturias.17 With
the goal of determining the prevalence of DM2 and AGT in the adult
population of Asturias, a cross-sectional population study was
designed with 1034 randomly selected individuals (54.1% women) of
30 to 75 years of age. A questionnaire was filled out, a physical
examination performed, and an oral glucose overload test was
performed with baseline blood draw at 2 hours. The diagnostic
criteria established by WHO in 1985 were used. The overall
prevalence of DM2 was 9.9% (95% CI, 8.2% to 11.7%); known diabetes
4% (95% CI, 2.8% to 5.1%); untreated DM 5.9% (95% CI, 4.5% to
7.4%), with a ratio of known to unknown diabetes of 1.5:1. The
prevalence of AGT was 13.3% (95% CI, 11.3% to 15.2%). DM2
prevalence for the Segi population (30 and 64 years of age) was
8.2% in men and 5.2% in women. Dependent factors associated with DM
were age, arterial hypertension, family history of diabetes,
obesity, and hypertriglyceridemia. According to these results, the
prevalence of DM2 in the adult population of Asturias (9.9%) is
moderately elevated and similar to that observed previously in
Spain9-15 and other white world populations. In
population-based studies performed with OGTT on total DM2
prevalence, the rate of known DM and DM unknown prior to the study
can be calculated. In the past, the ratio of known to unknown DM
was thought to be 1:1. In the Aragón,14
Lejona,10 León,9
Cataluña,13 and Asturias17 studies,
known DM prevalence rates were 3.1:3.0; 2.8:3.6; 3.9:1.7; 6.7:3.6
and 4:5.9, respectively. In any case, a large number of people who
present with DM in Spain are unaware that they have the disease, so
that strategies for early diagnosis in high-risk
populations.
There are other
studies on DM2 prevalence in smaller sample population groups with
or without the use of AGTT that, although the results are based on
local data, they are nevertheless
interesting.18-24
WORLDWIDE PREVALENCE OF TYPE 2 DIABETES
The prevalence
of DM worldwide varies widely (Table 2).25-27 In many
parts of the world, DM2 occurs in epidemic proportions. The groups
know to have a higher prevalence rate are the Pima Indians living
on a reservation in Arizona, the population of Nauru, Oceania,
where the illness affects more than 20% of its inhabitants (rates
adjusted to the world population).25 Nevertheless, other
populations also have elevated rates of the illness. In general,
the populations most affected are those where traditional
lifestyles have given way to Western ones, or those that have been
rapidly industrialized in a relatively short period of
time.26,27 This is especially evident in certain
countries of Southeast Asia and Oceania, and on Native American
reservations in North America. Nevertheless, DM2 is considered one
of the epidemics of the 21st century.

There are many
possible reasons for the variability found in DM prevalence,
including: longevity, family history, race, urbanization,
migration, obesity, diet, physical activity, and fetal and neonatal
nutrition.28 DM2 incidence reaches its highest rate in
groups of individuals of advanced age. For this reason, in
populations with shorter lifespans, the prevalence may appear to be
deceptively low. There is a racial predisposition to DM2, with
certain ethic groups such as Melanesians being somewhat protected;
these differences are apparent when different races in the same
country are compared.29 There is also a genetic
component involved for all the racial groups. Consequently, having
an immediate family member with DM2 diabetes confers up to a 40%
risk, and in identical twins the risk rate for DM2 is nearly 100%,
much greater than for DM1. The majority of studies show that
urbanization doubles the risk of developing DM2.30
Obesity is probably the most often studied risk factor since the
pioneering study of West et al,31 although it is
proposed as a precipitating factor rather than a fundamental cause
for diabetes.
INCIDENCE OF DIABETES TYPE 2
Given than DM2
is a disease with a silent course, without a sudden beginning or an
exact date of onset, it is difficult to design studies regarding
incidence rate for this disease. Studies are needed to that
asymptomatic diabetes can be detected by using specific tests such
as glycemia, and OGTT, or both, repeated annually or after a
pre-determined amount of time in the general population. The sample
population involved in the Lejona (Vizcaya)10 DM
prevalence study included a second OGTT test 10 years after the
study initiation, enabling a determination of the accumulated
10-year incidence of DM: at 8 cases per 1000 inhabitants in 10
years.12 Overall, the annual incidence of DM2 in
European studies varied between 1.2 and 4.1 cases per 1000
persons.32-45 This study, given its methodology and
results, deserves to be examined in depth. The incidence rate for
the Lejona study, although it coincides with these studies by being
less than 1% annually, could be somewhat elevated in relation to
other countries as it gives an overall estimate of 8.2 cases per
1000 people per year, particularly in the group of male subjects.
In subjects with AGT, the estimated 2% annual rate was actually
close to 2.9% and 1.5% annually in the British studies of
Whitehall32 and Bedford,45 respectively.
Although some followup studies revealed an annual incidence rate of
more than 10%,46 the majority of the larger prospective
studies indicate that, in general, the annual incidence rate for
subjects with AGT is between 2% and 5%.47 The annual AGT
incidence rate adjusted for age in the cohort of subjects with
normal glucose tolerance (NGT) was 2%, with a greater incidence
noted in men as compared to women. Nevertheless, 49.2% of the
cohort of subjects with AGT at the beginning of the study reverted
to NGT at the end of 10 years, a reversal that is similar to that
estimated by Warram et al of 37% at 8-years followup.48
As expected, age was also confirmed as a significant factor by the
Lejona study, showing a greater increase in risk after 60 years of
age. Therefore, as life expectancy continues to increase, the
incidence of DM2 will also increase. The role of sex in the
progression of DM2 is still controversial, with evidence as much
for44 as against49 its possible implication
as a risk factor. The Lejona study demonstrated a risk 3 times
higher in men than in women, somewhat higher than the risk
estimated for men by Haffner et al (odds ratio [OR]=1.56; 95% CI,
0.91% to 2.68%), very close to statistical significance after
adjustment for several variables, including the ethnic origin of
the participants.50 Baseline glycemia was an important
predictor in subjects with NGT, especially when glycemia was
greater than 82 mg/dL, which quadrupled the risk factor, coinciding
with the results of the Finnmark study for both men and
women.46 When the cohort of subjects with AGT is
included in the analysis, baseline diagnostics are highly
predictive of the subsequent progression to DM, thus eliminating
the need for obtaining baseline glycemia values. Therefore, in
subjects with AGT the risk is 4 times higher, which is an estimate
somewhat higher than that proposed by Haffner et al (OR=3.0; 95%
CI, 1.85% to 4.88%), and lower than that obtained in the Paris
study (OR=9.6; 95% CI, 5.5% to 16.8%).51 The diagnosis
of AGT is generally recognized as a risk factor in the development
of DM. Nevertheless, it is not clear up to what point the diagnosis
of AGT should be considered a risk factor in triggering DM, or
whether it is detectable in the etiopathogenesis of DM. In any
case, the elevated risk of progression to DM in subjects diagnosed
with AGT could be used for instituting intervention and prevention
measures. As far as the presence of family antecedents is
concerned, the study demonstrated that, although the statistical
significance was probably limited by sample size, the presence of
family history constituted a risk factor. This result corroborates
the importance of the hereditary component in the etiopathogenesis
of this process is pointed out in previous studies.52
Obesity is 1 of the factors most consistently associated with the
risk of DM in prevalence studies,53 and also in
incidence studies.54 Although analysis of the mean
percentage of BMI indicates a certain statistical association
between a greater BMI and DM progression, in the Lejona study
baseline BMI did not appear to be an independent risk factor in
progression to DM. It also did not appear significant in a combined
baseline analysis;49 in fact, the estimated baseline BMI
effect was practically null (OR=1.03) for increments of 1
kg/m². In conclusion, the results of the
Lejona10-12 study do not indicate that this population
should be considered at greater risk than others in the same
environment. The risk factors for DM appear to be similar to those
in other populations, including populations at greater risk than
those studied, which underlines the fact that, in addition to a
lesser or greater genetic predisposition, the etiopathogenic
mechanism is generally a common one.
INCIDENCE OF DIABETES TYPE 1
A few years ago
there were no data for the incidence of diabetes type 1 (DM1) in
Spain or most other countries, with the exception of several
Scandinavian, British, and North American studies. Several
consensus meetings have been held over the past decade to begin
epidemiological investigations with standardized and validated
methodology in order to obtain results that can be compared in the
international arena.55
The first data
published following the aforementioned methodology was that
obtained on DM1 incidence in Cataluña56 and in
the autonomous community of Madrid. The Catalan DM1 registry is a
prospective study on the population of the entire autonomous
community during the period from 1987 to 1990, including all new
cases of DM1 in individuals aged 0 to 14 years and aged 15 to 29
years (risk population 0 to 29 years of age of 2 690 394
inhabitants). The thoroughness of the study, calculated by the
capture-recapture method, was 90.1%. The incidence rate observed by
Goday et al56 for the group of patients 0 to 14 years of
age was 11.3 per 100 000 inhabitants per year (95% CI, 10.3% to
12.4%), and for the group of patients age 15 to 29 years 9.9 per
100 000 inhabitan ts per year (95% CI, 9.8% to 10.8%). The
incidence rate was lowest between in the group between 0 and 5
years of age, and highest between the group 13 and 14 years of age.
In the group of patients 0 to 14 years of age there was no
differences in the incidence rate between the 2 sexes, while
between 15 and 30 years of age a clear predominance in males was
observed. As in other countries, the incidence rate of DM1 followed
a seasonal pattern, with peaks in the cold months of the year. The
study of the Autonomous Community of Madrid57 included
all patients younger than 15 years of age in an at-risk population
(age younger than 15 years age) of 1 105 243 inhabitants,
retrospectively, from 1985 to 1988. The veracity or depth of the
study according to the capture-recapture method was 90%, and
incidence was estimated at 11.3 of 100 000 inhabitants per year
(95% CI, 10.3% to 12.4%).
Recently, other
studies carried out in Málaga,58,59
Navarra,60 Extremadura,61 and the Canary
Islands,62 including groups 0 to 14 years of age and
using the capture-recapture method, have obtained results that are
very similar to those previously mentioned63,64 (Table
3). Comparison of these studies permits an estimate of the
incidence rate of DM1 for Spain in its entirety, by province, and
by autonomous community.63 From these studies, four
points stand out. First, this is the first adequately validated
data on DM1 obtained for the Mediterranean area. Secondly, there is
a great similarity of incidence rates found among the various
studies with regard to the group of patients 0 to 14 years of age,
and the extraordinary worldwide homogeneity in the incidence of the
disease. In the third place, the high incidence observed in Spain,
much greater than that estimated in other European countries,
destroys the hypothesis of a North-South gradient for diabetes
incidence of diabetes that was postulated during the last decade.
Finally, although the existence of a clear North-South gradient was
not demonstrated, the cause of the great heterogeneity in the
incidence of diabetes, with a rate 10 to 40 times different
(Finland as compared to France or Japan), constitutes 1 of the
great challenges of current investigation.
There is
evidence that the incidence of DM1 has increased.65
Given that DM1 is 1 of the reasons for exemption from military
service, some authors have used this information to investigate
possible increases in the incidence of DM1. In reality, exemption
from military service due to diabetes does not exactly identify the
incidence (new cases) of DM1, but the accumulated incidence at the
age at which the individual presents for military service (17 to 20
years of age), or a study of cohorts by year of birth, obviously
only in males. The study strategy has certain limitations and
biases, but is undoubtedly of interest in the absence of other more
exact sources. This methodology is used in Spain country to
evaluate male cohorts born between 1964 and 1974 in the entire
state, and it demonstrates a progressive and practically linear
increase in the accumulated incidence of diabetes at 17 years of
age, that was greater than 0.918 in those born in 1964 and 1.825 in
those born in 1974.66 In 10 years the accumulated
incidence rate has practically doubled, with an absolute rate of
greater than 315 cases in the 1964 cohort to 671 cases in the 1974
cohort. The authors did not find inter-territorial geographic
differences during the period analyzed.66
On the other
hand, some incidence studies have grouped one collection phase of
retrospective cases with another prospective study, studying them
together over extensive periods of time; these have revealed a
progressive increase in the incidence of DM1. The most recent data
from the DM1 register in Málaga shows an clear increase in
the incidence of the illness, revealing that although in initial
published results the rate during the period from 1982 to 1988 was
fixed at 11 cases per 100 000 inhabitants per year,58
studies of more recent periods of time have fixed the rate at a
much higher number: close to 18 cases per 100 000 inhabitants per
year.59 A similar situation was observed in
Navarra.60 On the other hand, the Catalan DM1 register,
developed prospectively since 1987, based on a population of 2
million and individuals less than 30 years of age, a relatively
constant incidence rate has been demonstrated, without an index
indicative of epidemic outbreaks or an increase in incidence or
tendency toward attenuation of the numerical impact of the
illness.56 They also have not detected important changes
in DM1 incidence in Badajoz during the period 1992 to
1996.61
When considering
data on the epidemiology of DM1 it is worth noting that, although
this is a disease that occurs relatively frequently, the incidence
rates are low. This means that in order to investigate its
occurrence with some precision, epidemic outbreaks, secular changes
in incidence, or geographical differences, it is necessary to
analyze wide population bases during prolonged periods of time,
which is particularly difficult with a disease is not required to
be reported. Cases are detected, therefore, by physicians dedicated
to the study of diabetes. Maintaining an active diabetes register
may be difficult, but it is fundamental, and we must obtain
long-term collaboration and cooperation of physicians and patients.
In addition, prospective studies are intrinsically superior to
retrospective studies. For all these reasons, prospective
epidemiological studies of DM1 that include extensive population
bases and cover prolonged periods of time are of great interest, as
they allow the detection of data that is not evident in smaller
studies. An example is the collaborative European study in the
Biomed program called EURODIAB TIGER, which for 10 years has
analyzed the incidence of DM1 in an intensive sample of the
European population.67 In a recent publication, studies
have demonstrated that the incidence of DM1 in Europe is
increasing, although unequally, by age and by country.68
The most obvious change has been observed in the population group
of individuals of less than 5 years of age, an age group which had
been characterized up until now by a lesser incidence of the
disease, in comparison with groups of age 5 to 9 years, 10 to 14
years of age, and 15 to 29 years of age. In the lowest age group (0
to 4 years of age), the incidence rate increased by 6.3% from 1989
to 1994, while in the group of 5 to 9 years of age it was 3.1% and
in the group of 10 to 14 years of age 2.4%. With regard to
countries, the most spectacular change was observed in Eastern and
Central Europe, with initially low rates in countries which have
undergone significant socioeconomic changes. On the contrary, one
of the participating centers with the most constant incidence rates
during the period of 6 years analyzed (from 1989 to 1994) was Spain
(Cataluña), with an annual relative risk of exactly 1.00
(95% CI, 0.96% to 1.04%), while in most countries this rate was
greater.
PREVALENCE OF DIABETES MELLITUS TYPE 1
The results of
the 1987 National Health Questionnaire study performed by the
Ministry of Health and Consumption showed a prevalence of declared
diabetes in persons aged 1 to 15 years of 0.3% (0.5% in persons
aged 1 to 4 years; 0.2% in persons aged 5 to 14 years; 0.3% in
males, and 0.2% in females). Although the type of diabetes was not
specified, the age range restricts the cases almost totally to
DM1.69
EPIDEMIOLOGY OF THE CHRONIC COMPLICATIONS OF DIABETES
MELLITUS
There are very
few epidemiological studies in Spain on the chronic complications
of DM, and there are basically 2 fundamental problems with this
type of study. First, it is difficult to establish the exact
parameters, given the different sensitivities, specifics, and
complexity of the diagnostic methods involved. In the second place,
the majority of studies are not performed on a well-defined
geographical population base, a diabetic register, or for more than
one cohort, but rather as the function of patients who have
received treatment in the center that is performing the study, thus
introducing confusing biases and variables that are difficult to
correct and to control.
Diabetic retinopathy
Diabetic
retinopathy affects 15% to 50% of patients with DM2, with
approximately 10% presenting with proliferative retinopathy. Twenty
to 30 percent of recorded blindness is a result of diabetic
retinopathy.70 Among the affiliates of the Spanish
National Organization of Blind People (SNOBP), DM is the third most
common pathological cause of visual deficiency. DM presents a
relative risk of vision loss 20 times greater than in the
non-diabetic population. Cataracts occur 1.6 times more frequently
in the diabetic population. Open-angle glaucoma occurs 1.4 times
more frequently in diabetics.71 Twenty years after the
diagnosis of diabetes, nearly 100% of patients with DM1 and 60% of
patients with DM2 develop diabetic
retinopathy.72
Diabetic nephropathy
Nephropathy is
present in between 3% and 35% of patients with DM2. The relative
risk of suffering renal insufficiency is 25 times greater in
subjects with DM. From 30% to 50% of individuals who have developed
the disease over 10 to 20 years, have some degree of renal
involvement. At present, DM is the primary cause for inclusion in
hemodialysis programs in Spain.73 Studies have been
performed on prevalence in the various phases of diabetic
nephropathy, as well as the autonomic environment of
Cataluña,74,75 the Canary Islands,76
and Extremadura,77 and in Spain as a
whole.78,79 In the samples studied, the prevalence of
microalbuminuria was 13% for DM1 and 23% for DM2; for
macroproteinuria it was 4.6% to 5%, and for renal insufficiency it
was 4.8% to 8.4%.74-79
Diabetic neuropathy
Diabetic
retinopathy is the most common complication with DM2, and it is
estimated that approximately 40% of diabetics have some type of
neuropathic change at the time of diagnosis. Prevalence varies from
one study to another, depending on the diagnostic criteria used and
the sensitivity of the tests utilized. Prevalence rates increase
with the amount of time diabetes has been present, and the age of
the patient.80 The relative risk of neuropathy for
people with diabetes is 7 times that for the general population.
Diabetic polyneuropathy will affect more than 40% of the patient
population with diabetes for more than 10
years.80
A collaborative
study by Figuerola et al provided an overall approximation of the
prevalence of chronic complications of diabetes in
Spain.81 In a sample of 1 430 diabetic patients, from 4
different levels of health care (ambulatory endocrinology clinics,
regional hospitals, university hospitals, and private diabetic
clinics) they observed, in patients with insulin-dependent
diabetes, a 32% prevalence of retinopathy (21% non-proliferative,
9% proliferative, and 2% amaurosis), 14% prevalence of neuropathy,
14% nephropathy, and 2% diabetic foot symptoms. In the group of
non-insulin-dependent patients, the prevalence of retinopathy was
42% (31% non-proliferative, 9% proliferative, 2% amaurosis), 30%
neuropathy, 18% nephropathy, and 14% with diabetic foot symptoms.
As the authors noted, this study contains some biases: family and
internal medicine physicians were excluded, the centers that
participated in the study were not selected randomly, and, finally,
the criteria for defining the chronic complications were primarily
clinical, and not strictly standardized for all the centers
included in the study. Even so, we believe that the size of the
sample, the overall spectrum of data obtained for each patient, and
the lamentable lack of Spanish population-based studies from
diabetes registers, make the results of this study valuable.
Another study performed by the health service in Vizcaya had
similar results.82
In any case, the
increased prevalence of chronic complications of DM means that this
disease had a strong impact on general health83,84 and
hospitalization costs.85
We will not
discuss the data concerning the epidemiology of macroangiopathic
complications of DM as these will be the subject of a future
manuscript.
MORTALITY RATES FOR DIABETES
Hyperglycemia
alone is associated with an increased mortality rate, which has
been described as being in direct proportion to the higher baseline
glycemia levels.86 Also, age, hypertension, and the
presence of proteinuria are independently associated with an
increase in death by any cause in DM2.87 In the United
States, it is estimated that DM2 represents 15% to 20% of all
deaths in the population older than 25 years of age. The mortality
rate is 2 to 3 times higher in patients diagnosed with the disease
after 40 years of age.88,89 In the majority of developed
countries, diabetes is the 4th to the 8th
most common cause of death. In European countries, the mortality
rate varies from 8 to 33 people per 100 000 inhabitants, with the
current rate in Spain being approximately 23 per 100
000.90 In most studies, the mortality rates are greater
for women than men (in Spain, 29 vs 16 per 100 000).
The estimated
mortality rate in Spain was established by the General Subdivision
of Preventive Medicine of the Ministry of Health and Social
Security for the period 1951 to 1974, and published in their
Weekly Epidemiological Bulletin.91 This data was
obtained from death certificates. The trustworthiness of this
method has been questions as, in general, a large percentage of
death certificates do not list diabetes as the cause of death. In
any case, the information available is of interest as certain
Spanish studies do confirm the validity of the data obtained from
death certificates. The mortality rate (per 100 000 inhabitants
increases for both sexes during the course of the observation
period, so that it was 6.76 in the period from 1951 to 1956 (per
100 000 inhabitant) and increased to 16.09 from 1969 to 1974. In
1978, the mortality rate was estimated to be 18.4 per 100 000
inhabitants. This increase was observed to be greater in the female
population, and to increase for both sexes after the age of 65.
Regidor et al reported the principal causes of death in Spain
between 1975 and 1988,92 and the mortality rate for
diabetes was 14.8 to 13.8 for men and 19.2 to 17.2 in women (per
100 000 inhabitant, adjusted by age as a function of standard
population in 1970). Diabetes is the third most common cause of
death for women in Spain (after cardiovascular disease and ischemic
heart disease) and seventh most common cause of death in
men.92 These data clearly need to be corrected as a
function of the role diabetes plays as a predisposing factor in the
development of cardiovascular or heart disease. When analyzed by
province, the mortality rates show a geographic aggregation in the
south, southwest, and insular provinces of
Spain.93
RISK FACTORS FOR DIABETES
Risk factors for
DM2 include advanced age,94 obesity,9-14
family history of diabetes,95,96
ethnicity,97-99 socioeconomic level,100,101
and Western lifestyle (principally with reference to obesity, diet,
and physical inactivity). Each of these is probably a reflection of
underlying causative factors. In the natural history of DM2 a prior
state of glucose intolerance and altered baseline glycemia is
described,102-105 states that confirm that the risk of
developing DM2 increases as glycemia levels increase. Gestational
diabetes can also be a marker for a pre-diabetic state.
Many studies
support the role of physiological factors and lifestyle in the
etiology of DM2. These factors include, among others, in first
place, obesity,9-14 which is accompanied by insulin
resistance. Prolonged obesity106,107 and central
obesity108 have also been associated with a greater
incidence of DM2. More divisive is the question of whether diet
alone can precipitate diabetes independently of obesity. Recent
studies indicate that important changes in glucose tolerance occur
with the change from a traditional to a Western diet, and vice
versa.109-111 Other studies describe the protective
effects of a diet rich in fiber, whole cereals,
magnesium,112 although in 1 study greater protection was
observed with greater serum levels of magnesium, but not with
increased ingestion,113 in fruits and
vegetables,114 and including, though it may seem
paradoxical, the protective effect of the moderate consumption of
alcohol,115,116 or a greater risk with low plasma
concentrations of vitamin E.
Physical in
activity also plays an important role in the risk of developing
glucose intolerance and DM2.118-124
Other studies
have described an increased incidence of DM2 in
smokers,116,125 in certain professions126 and
work conditions,127 or in the presence of depressive
symptoms128 or hypertension.129 Recent
studies in Europe and the United States have described low birth
rate130 and other changes in fetal growth in full-term
neonates131 may be associated with a greater prevalence
of glucose intolerance and consequent DM2. The mechanisms are
unknown, but it appears that changes there are changes in the
neuroendocrine development of the fetus. These hormonal changes
could contribute to a predisposition for diabetes and the metabolic
syndrome.132 Along the same lines, the treatment of
children and adolescents with growth hormone has been described as
accelerating the appearance of DM2 in individuals predisposed to
the illness.133
PREVENTION OF DIABETES
Alt hough many
markers and risk factors for the development of DM2 have been
identified, little is known regarding what interventions could
prevent or reverse the pathology in cases that have already been
diagnosed.134 Some studies have been informed on
intervention and others are currently trying to prove the
hypothesis that DM2 (and its cardiovascular risks) can be prevented
with drugs135-137 or lifestyle changes. Below we detail
the most interesting studies in this last group.
The incidence of
DM2 is growing worldwide, probably due to changes in lifestyle,
related to the adoption of more western habits such as being
sedentary, obesity, or an unbalanced diet. On the other hand, today
we know that obese individuals and glucose intolerance have an
increased risk of developing DM2. Based on this fact, Toumilehto et
al138 proposed that it is possible to avoid the
development of DM2 in these individuals by making lifestyle
changes. With the aim of investigating whether DM2 could be
prevented with lifestyle changes in people at a high risk for
developing the disease, they designed a randomized study in Finland
that assigned 522 obese middle-aged people (172 men and 350 women;
average age, 55 years; BMI, 31) with glucose intolerance to either
a group receiving therapeutic intervention or a control group. The
intervention consisted of individual counseling for weight
reduction, a decrease in the total ingestion of saturated fats, an
increase in the ingestion of fiber, and an increase in physical
activity. An oral glucose tolerance test was performed annually.
The diagnosis of DM2 was confirmed by a second test. Mean follow-up
was 3.2 years. Weight loss during the first year was 4.2+5.1 kg in
the intervention group vs 0.8+3.7 kg in the control group. The net
weight loss at the end of the second year was 3.5+5.5 kg in the
intervention group vs 0.8+4.4 kg in the control group (significant
differences with P<.001 in both comparisons of the 2
groups). The accumulated incidence of diabetes at 4 years was 11%
in the intervention group (95% CI, 6% to 15%) vs 23% in the control
group (95% CI, 17% to 29%). During the study, the risk of
developing DM2 was reduced by 58% (P<.001) in the
intervention group. The reduction in the incidence of diabetes was
directly related to lifestyle changes. The results of this
excellent study were spectacular, as by losing weight, changing
diet (decrease in the total consumption of fat, the percentage of
saturated fats, and the amount of sugar, and an increase in the
consumption of vegetables) and an increase in exercise decreased
the occurrence of DM2 by more than half.
Of note, these
optimal results also achieved a moderate weight loss of an average
of 4.2 kg, or a 4.7% weight reduction. In a parallel manner, the
intervention group also showed a significant reduction in both
fasting glycemia and 2 hours after an oral glucose tolerance test,
in insulinemia, triglycerides, and PAS and PAD. All these
reductions in values are probably related to an improvement in
insulin resistance. It is difficult to achieve weight loss and
changes in eating habits in daily medical practice. In fact, in the
study a weight loss of more than 5% was only achieved in 43% of the
intervention group (vs 13% in the control group). According to this
study, to prevent 1 case of DM2 requires intervention in 22
subjects for 1 year, or 5 subjects for 5 years.138
Therefore, in subjects with a high risk of developing DM2, medical
counseling regarding a moderate weight loss (much less than what
would be required to reach normal weight) prevents the development
of DM2. DM2 can be prevented with lifestyle changes.
With regard to
exercise, various epidemiological studies have shown a positive
relationship between insulin sensitivity and physical activity, but
the consistency of this association among populations with a
distinct ponderal state is uncertain. One multicenter
epidemiological study examined whether physical activity is related
to insulin concentrations in 2 populations at high risk for
diabetes but located in different geographical areas, of different
ethnic groups, and different BMI.139 The population
studies were 2321 non-diabetic Pima Indians from 15 to 59 years of
age and 2716 non-diabetic inhabitants of the Mauritius Islands.
Insulin sensitivity was estimated by the baseline and postprandial
insulin concentration in the blood and physical activity by
questionnaire. The results demonstrated that in the Pima Indians,
people with more physical activity had significantly lower
concentration of insulin than those who were less active (179 vs
200 and 237 vs 268 pmol/L). Similar results were found in the
Mauritius Islands (94 vs 122 and 127 vs 148 pmol/L). In both
populations, physical activity was significantly associated with
insulin concentrations, controlled by age, BMI, waist to hip index,
and glycemia. In accordance with the preceding physical activity is
negatively associated with insulin concentrations both in the Pima
Indians, who tend to be overweight, and in the inhabitants of the
Mauritius Islands, who tend to be thin. These results indicate that
the benefits of physical activity on insulin sensitivity are
independent of the influence of physical activity body composition.
The development of DM2 is associated with obesity, fat
distribution, and being sedentary. All these factors are associated
with insulin resistance. Nevertheless, given that being sedentary
is a factor associated with obesity and the distribution of body
fat, it could simply be a reflection of this association. On the
other hand, the relationship between insulin resistance, greater
BMI, and greater waist to hip index is often occurs in overweight
and obesity, but not as clearly in thin people. What is interesting
about this study is that it investigates these associations both in
a population with a tendency to obesity, the Pima Indians, with an
average BMI between 28 and 35, a waist to hip index between 1.5 and
1.9, and in a population without a tendency to obesity, the
inhabitants of Mauritius, with an average BMI between 24 and 25,
and a waist to hip index of 0.8 to 0.9. As expected, the Pima
population with its tendency toward obesity and less physical
activity, had greater insulinemia (greater insulin resistance).
What is interesting is that this relationship was nearly the same
for the normal weight population of the Mauritius Islands.
Therefore, physical activity and insulin sensitivity are
consistently related in distinct populations. This correlation is
maintained when the possible effect of the ponderal state, the
waist to hip index, and ethnicity are controlled. Therefore, this
relationship is not dependent on the hypothetical fact that people
who are more physically active weigh more, but on the intrinsic
effect of exercise on insulin sensitivity.139
Obesity and an
increase in weight are independent risk factors for the development
of DM2. Glucose tolerance is known to improve with a decrease in
weight and to worsen with an increase in weight. Nevertheless,
whether loss of weight is therapeutic raises questions on the
action and secretion of insulin in the short, medium, and long
term. Many studies show that the improvement in glucose tolerance
due to weight reduction is attributable to a decrease in resistance
to the action of insulin. A recent study of Pima
Indians140 provided information on the long-term effects
of weight on the action and secretion of insulin, not only in
normal subjects but also on those with AGT. The improvement in
insulin sensitivity is proportionate to weight loss. Inversely,
weight gain causes an equal worsening in insulin sensitivity. In an
intermediate situation, if the weight loss is maintained, so is the
insulin sensitivity. Weight gain can have consequences for people
with AGT, in whom insulin secretion also decreases upon weight gain
instead of increasing to compensate for the decrease in its
peripheral action. More recently, the analysis of the results of 16
years of followup (from 1980 to 1996) in a cohort of American
nurses that included 84 941 women, once again demonstrated that the
most important predictor for DM2 is obesity and
overweight.141 The development of DM2 is also associated
with being sedentary, diet, smoking, and the new and surprising
factor of alcohol abstinence. In any case, all these factors are
modifiable with lifestyle changes.
CONCLUSIONS
A review of the
epidemiology of diabetes in Spain shows the social and health
consequences of this disease. Obviously, information is still
needed on such elemental data as the incidence and prevalence of
different types of diabetes and its complications in many areas of
Spain. An approximate calculation of the incidence and prevalence
described and based on the most recent census reports the following
data for Spain: prevalence of known diabetes: 1.1 to 1.4 million
inhabitants; total prevalence of diabetes (both known and unknown):
2.1 million inhabitants; incidence of diabetes in individuals less
than 15 years of age: 29 000 children; incidence of DM1 in
individuals less than 15 years of age: 1104 new cases per year.
Obviously, these data are not exact, given that they are based the
scarce data that is available, assume homogeneous distribution for
all Spain, do not include CI, seasonal changes, the progressive
aging of the population, etc. In any case, they can serve as an
index of the health importance of diabetes, as well as the priority
of obtaining more exact epidemiological information.
Section
sponsored by Laboratorio Dr. Esteve
Correspondence: Dr. Alberto Goday.
Servicio de Endocrinología. Hospital del Mar.
P.o Marítimo, 25-29. 08003 Barcelona.
Spain.
References
1. Goday A, Serrano-Ríos M. Epidemiología de la diabetes mellitus en España. Revisión crítica y nuevas perspectivas. Med Clin (Barc) 1994;102:306-15.[Medline] 2. WHO (World Health Organization). Diabetes mellitus: report of a WHO Study Group. Tech Rep Ser:727. Geneve: WHO, 1985. 3. ADA (American Diabetes Association). Report of the expert committee on the diagnosis and classification of diabetes mellitus. Diabetes Care 1997;20:1183-97.[Medline] 4. Pallardo Peinado LF, Matute JL. La morbilidad diabética conocida en la población rural de España. Rev Clin Esp 1965;99: 357-70. 5. Pallardo Sánchez LF, Ferre C, Puertas L, Pallardo LF, Matute JL. Prevalencia de morbilidad diabética conocida en la población rural española en 1978. Rev Clin Esp 1980;159:243-9.[Medline] 6. Figuerola D, Castell C, Lloveras G. La diabetes en España. Análisis de la prevalencia y atención médica según el consumo de fármacos y material de autocontrol. Med Clin (Barc) 1988;91: 401-5.[Medline] 7. Calle-Pascual AL, Vicente A, Martín-Álvarez PJ, Yuste E, De Matías J, Calle JR, et al. Estimation of the prevalence of diabetes mellitus diagnosed, and incidence of type 1 (insulin-dependent) diabetes mellitus in the Avila Health Care region of Spain. Diab Res and Clin Pract 1993;19:75-81. 8. Costa B, Utges P, Monclús JM, Gomis T, Ciurana MR, Juve P, y el Grup per a l'Estudi de la Diabetis a Tarragona. Consumo de medicación en la diabetes mellitus (I). Estimación del perfil terapéutico y la prevalencia en las comarcas de Tarragona (548.900 habitantes). Med Clin (Barc) 1992;99:294-9.[Medline] 9. Franch Nadal J, Álvarez Torrices JC, Álvarez Guisasola F, Diego Domínguez F, Hernández Mejía R, Cueto Espinar A. Epidemiología de la diabetes mellitus en la provincia de León. Med Clin (Barc) 1992;98:607-11.[Medline] 10. Bayo J, Sola C, García F, Latorre PM, Vázquez JA. Prevalencia de la diabetes mellitus no dependiente de la insulina en Lejona (Vizcaya). Med Clin (Barc) 1993;101:609-12.[Medline] 11. Bayo J, Latorre PM, García F, Vázquez JA. Factores de riesgo asociados a la prevalencia de diabetes mellitus no insulinodependiente en Lejona (Vizcaya). Med Clin 1996;107:572-7. 12. Vázquez JA, Gaztambide S, Soto-Pedre E. Estudio prospectivo a 10 años sobre la incidencia y factores de riesgo de diabetes mellitus tipo 2. Med Clin (Barc) 2000;115:534-9.[Medline][Artículo] 13. Castell C, Tresserras R, Serra J, Goday A, Lloveras G, Salleras Ll. Prevalence of diabetes in Catalonia (Spain): an oral glucose tolerance test-based population study. Diab Res Clin Practice 1999;43:33-40. 14. Tamayo Marco B, Faure E, Roche Asensio MJ, Rubio Calvo E, Sánchez Oriz E, Salvador Oliván JA. Prevalence of diabetes mellitus and impaired glucose tolerance in Aragon, Spain. Diabetes Care 1997;20:534-6.[Medline] 15. Muñiz J, Hervada J, Juane R, López-Rodríguez I, Castro-Beiras A. Prevalence of diabetes mellitus in the population aged 40-69 years in Galicia, northwest Spain. Diab Res Clin Practice 1995;30:137-42. 16. De Pablos Velasco PL, Martínez Martín FJ, Rodríguez-Pérez F, Anía BJ, Losada A, Betancor P. Prevalence and determinants o diabetes mellitus and glucose intolerance in Canarian Caucasian population -comparison of the ADA and the 1985 WHO criteria. The Guia Study. Diabetic Medicine 2001;18:235-41.[Medline] 17. Botas P, Delgado E, Castaño G, Díaz de Greñu C, Prieto J, Díaz-Cadórniga FJ. Prevalencia de diabetes mellitus e intolerancia a la glucosa en población entre 30 y 75 años en Asturias[en prensa]. Rev Clin Esp. 18. Vila LL, Subirats E, Vila T, Margalef N, Cardona M, Vallescar R. Prevalencia de diabetes en La Cerdanya (comarca del Pirineo Oriental). Endocrinología 1994:41:305-9. 19. Zorrilla B, Cantero JL, Martínez M y Red de Médicos Centinelas de la Comunidad de Madrid. Estudio de la diabetes mellitus no insulinodependiente en atención primaria en la Comunidad de Madrid a través de la red de médicos centinelas. Aten Primaria 1997;20:543-8.[Medline][Artículo] 20. Baena JM, Oller M, Martín R, Nicolau M, Altes A, Iglesias C. Impacto de los nuevos criterios diagnósticos propuestos por la Asociación Americana de Diabetes (ADA-97) sobre la prevalencia diagnóstica de diabetes mellitus tipo 2. Aten Primaria 1999;24:97-100.[Medline][Artículo] 21. Serna MC, Madrid M, Cruz I, Gasco E, Ribelles M, Serra Ll. Estimación de la prevalencia de diabetes mellitus en seis comarcas de la provincia de Lleida. Endocrinología 1999;46:83-6. 22. Morcillo L, Santolaria F. Diabetes mellitus en la población canaria. Endocrinología 1995;42(Supl 1):64. 23. Calañas AJ, Corpas MS, Gálvez MA, Paniagua JA, Vázquez C, Benito P. Prevalencia de diabetes mellitus no insulinodepnediente e intolerancia hidrocarbonada en un entorno étnico heterogéneo. Endocrinología 1996;43(Supl 1):19. 24. Muñiz J, Cordido F, López Rodríguez I, Castro Beiras A. Effect of the application of the new diagnostic criteria of diabetes in the prevalence estimates and diagnostic level in the general population. European J Pub Health 1999;9:149-51. 25. Alberti KGMM. Problems related to definitions and epidemiology of type 2 (non-insulin-dependent) diabetes mellitus: studies throughout the world. Diabetologia 1993;36:978-84.[Medline] 26. Trevisan R, Vedovato M, Tiengo A. The epidemiology of diabetes mellitus. Neprol Dial Transplant 1998;(Suppl 8):2-5. 27. Zimmet PZ, McCarty DJ, De Courten MP. The global epidemiology of non-insulin-dependent diabetes mellitus an the metabolic syndrome. J Diabetes Complications 1997;11:60-8.[Medline] 28. Bennet PH, Bogardus C, Tuomilehto J, Zimmet P. Epidemiology and natural history of type 2 diabetes: non-obese and obese. En: Alberti KGMM, De Fronzo RA, Keen H, Zimmet P, editors. International textbook of diabetes mellitus. Chichester: John Wiley 1992; p. 147-76. 29. Lindeman RD, Romero LJ, Hundley R, Allen AS, Liang HC, Baumgartner RN, et al. Prevalence of type 2 diabetes, the insulin resistance syndrome, and coronary heart disease in an elderly, biethnic population. Diabetes Care 1998;21:959-66.[Medline] 30. Ramachandran A, Snelatha C, Latha E, Manoharan M, Vigía V. Impacts of urbanization on the lifestyle and on the prevalence of diabetes in native Asian Indian population. Diabetes Res Clin Pract 1999;44:207-13.[Medline] 31. West KM, Kalbfleisch JM. Glucose tolerance, nutrition and diabetes in Uruguay, Venezuela, Malaya and East Pakistan. Diabetes 1966;19:656-63. 32. Jarrett RJ, Keen H, Fuller JH, McCartney M. Worsening to diabetes in men with impaired glucose tolerance (borderline diabetes). Diabetologia 1979;16:25-30.[Medline] 33. Ohlson LO, Larsson B, Eriksson H. Diabetes mellitus in Swedish middle-aged men. The study of men born 1913 and 1923. Diabetología 1987;30:386-93. 34. Eriksson KF, Lindgärde F. Impaired glucose tolerance in a middle-aged male urban population: a new approach for identifying high-risk cases. Diabetologia 1990;33:526-31.[Medline] 35. Garancini MP, Calori G, Ruototo Gl. Prevalence of NIDDM and impaired glucose tolerance in Italy: an OGTT-based population study. Diabetologia 1995;38:306-13.[Medline] 36. Jarrett RJ, McCartney P, Keen H. The Bedford Survey: ten year mortality rates in newly diagnosed diabetics, borderline diabetics and normoglycaemic controls and risks indices for coronary heart disease in borderline diabetics. Diabetologia 1982;22:79-84.[Medline] 37. De Grauw WJ, Van den Lisdonk EH, Van den Hoogen HJ, Van Weel C. Cardiovascular morbidity and mortality in type 2 diabetic patients: a 22-year historical cohort study in Dutch general practice. Diabetic Med 1995;12:117-22.[Medline] 38. Damsgaard EM, Froland A, Mogensen CE. Over-mortality as related to age and gender in patients with established non-insulin-dependent diabetes mellitus. J Diab Comp 1997;11:77-82. 39. Eriksson KF, Lindgärde F. No excess 12-year mortality in men with impaired glucose tolerance who participated in the Malmö Preventive Trial with diet and exercise. Diabetologia 1998;41: 1010-6.[Medline] 40. Bruno G, Merletti F, Boffetta P, Cavallo-Perin P, Bargero G, Gallone G, et al. Impact of glycaemic control, hypertension and insulin treatment on general and cause-specific mortality: an Italian population-based cohort of type II (non-insulin-dependent) diabetes mellitus. Diabetologia 1999;42:297-301.[Medline] 41. Vilbergsson S, Sigurdsson G, Sigvaldason H, Hreidarsson AB, Sigfusson N. Prevalence and incidence of NIDDM in Iceland: evidence for stable incidence among males and females 1967-1991. The Reykjavik Study. Diabetic Med 1997;14:491-8.[Medline] 42. Anderson DK, Svardsudd K, Tibblin G. Prevalence and incidence of diabetes in a Swedish community 1972-1987. Diabetic Med 1991;8:428-34.[Medline] 43. Reunanen A. Prevalence and incidence of type 2 in Finland. Acta Endocrinol 1984;262:31-5. 44. Njolstad I, Arnesen E, Lund-Larsen PG. Sex differences in risk factors for clinical diabetes mellitus in a general population: a 12-year follow-up of the Finnmark Study. Am J Epidemiol 1998;147:49-58.[Medline] 45. Keen H, Jarrett RJ, McCartney P. The ten-year follow-up of the Bedford Survey (1962-1972): glucose tolerance and diabetes. Diabetologia 1982;22:73-8.[Medline] 46. Heine RJ, Nijpels G, Mooy JM. New data on the rate of progression of impaired glucose tolerance to NIDDM and predicting factors. Diabetic Med 1996;13(Suppl 1):12-4. 47. Alberti KM. Impaired glucose tolerance: what are the clinical implications? Diabetes Res Clin Pract 1998;40(Suppl 1):3-8. 48. Warram JH, Sigal RJ, Martin BC, Krolewski AS, Soeldner JS. Natural history of impaired glucose tolerance: follow-up at Joslin Clinic. Diabetic Med 1996;13(Suppl 1):40-5. 49. Edelstein SL, Knowler WC, Bain RP, Andres R, Barrett-Connor EL, Dowse GK, et al. Predictors of progression from impaired glucose tolerance to NIDDM. An analysis of six prospective studies. Diabetes 1997;46:701-10.[Medline] 50. Haffner SM, Miettinen H, Stern MP. Are risk factors for conversion to NIDDM similar in high and low risk populations? Diabetologia 1997;40:62-6.[Medline] 51. Charles MA, Fontbonne A, Thibult N, Warnet JM, Rosselin GE, Eschwege E. Risk factors for NIDDM in white population- Paris Prospective Study. Diabetes 1991;40:796-9.[Medline] 52. Martin BC, Warram JH, Krolewski AS, Bergman RN, Soeldner JS, Kahn CR. Role of glucose and insulin resistance in development of type 2 diabetes mellitus: results of a 25-year follow-up study. Lancet 1992;342:925-9. 53. Perry IJ, Wannamethee SG, Walker MK, Thompson AG, Whincup PH, Shaper AG. Prospective study of risk factors for development of non-insulin dependent diabetes in middle aged British men. BMJ 1995;310:560-4.[Medline] 54. Carey VJ, Walters EE, Colditz GA, Solomon CG, Willett WC, Rosner BA, et al. Body fat distribution and risk of non-insulin-dependent diabetes mellitus in women. The Nurse's Health Study. Am J Epidemiol 1997;145:614-9.[Medline] 55. Goday A, Serrano-Ríos M, Castell C, Lloveras G, Gutiérrez R, Mantul P et al. Los estudios de incidencia de diabetes mellitus tipo 1 en España. Análisis comparativo y consenso de metodología estandarizada. Av Diabetol 1996;12:24-8. 56. Goday A, Castell C, Tresserras R, Canela R, Lloveras G, and the Catalan Epidemiology Diabetes Study Group. Incidence of type 1 (insulin-dependent) diabetes mellitus in Catalonia (Spain). Diabetologia 1992;35:267-71.[Medline] 57. Serrano Ríos M, Moy CS, Martín Serrano R, Minuesa Asensio A, De Tomas Labat ME, Zarandieta Romero G, et al. Incidence of type 1 (insulin-dependent) diabetes mellitus in subjects 0-14 years of age in the Comunidad de Madrid, Spain. Diabetologia 1990;33:422-4.[Medline] 58. López Siguero JP, Lora Espinosa A, Martínez Aedo MJ, Martínez Valverde A. Incidencia de IDDM en niños (0-14 años) en Málaga, 1982-1988. An Esp Pediatr 1992;37:485-8.[Medline] 59. López Siguero JP, Martínez Aedo Ollero MJ, Moreno Molina JA, Lora Espinosa A, Martínez Valverde A. Evolución de la incidencia de diabetes mellitus tipo 1 en niños de 0 a 14 años in Malaga (1982-1993). An Esp Pediatr 1997;47:17-22.[Medline] 60. Chueca M, Oyarzabal M, Reparaz F, Garigorri JM, Sola A. Incidence of type 1 diabetes mellitus in Navarre Spain (1975-91). Acta Paediatr 1997;86:632-7.[Medline] 61. Morales-Pérez FM, Barquero-Romero J, Pérez-Miranda M. Incidence of type 1 diabetes among children and young adults (0-29 years) in the province of Badajoz, Spain during 1992 to 1996. Acta Paediatr 2000;89:101-4.[Medline] 62. Carrillo Domínguez A y el Grupo de Epidemiología de la Sociedad Canaria de Endocrinología y Nutrición. Incidencia de diabetes mellitus tipo 1 en las Islas Canarias (1995-1996). Rev Clin Esp 2000;200:257-60.[Medline] 63. Goday A, Castell C, Tresserres R, Lloveras R. La diabetes mellitus tipo 1 en España. Estimación de la incidencia anual y su distribución por comunidades autónomas y provincias. Endocrinología 1994;41:301-4. 64. Goday A, Castell C, Tresserras R, LLoveras G y el Grupo Catalán para el Estudio de la Epidemiología de la Diabetes. Análisis de la distribución geográfica de la incidencia de diabetes mellitus tipo 1 en Cataluña. Med Clin (Barc) 1993;101: 561-4.[Medline] 65. Goday A, Lloveras G. ¿Aumenta la incidencia de diabetes tipo 1 en Europa? Endocrinología 2000;47:253-5. 66. Carretero F, Serrano L, De Miguel A, Linares R. Prevalencia de diabetes mellitus en jóvenes españoles estimada por exenciones del servicio militar. Med Clin (Barc) 1995;104:116-7. 67. Green A, Gale EAM, Patterson C, The EURODIAB Subarea A Study Group. Wide variation in the incidence of childhood onset insulin-dependent diabetes mellitus in Europe: The Eurodiab ACE Study. The Lancet 1992;339:905-9. 68. Eurodiab Ace Study Group. Variation and trends in incidence of childhood diabetes in Europe. Lancet 2000;355:873-6.[Medline] 69. Estadísticas de Salud 1978-1987. Información Sanitaria y Epidemiológica. Madrid: Ministerio de Sanidad y Consumo. Dirección General de Salud Pública, 1991. 70. Fernández Vigo J, Macarro A, Sabugal JF, Chacón J. Diabetes ocular (I): retinopatía diabética. Avances en Diabetología 1994;8:89-106. 71. Fernández-Vigo J, Macarro A, Perianez JF, Chacón J. Diabetes ocular (II): neurooftalmopatía. Catarata. Glaucoma. Otras manifestaciones. Avances en Diabetología 1994b;9:5-17. 72. Javitt JC, Aiello LP. Cost-effectiveness of detecting and training diabetic retinopathy. Ann Intern Med 1996;124:164-9.[Medline] 73. Amenabar J, García-López F, Robles NR, Sancho R. Informe anual del registro de pacientes en diálisis y trasplante renal en España. Nefrología 2000;20(Supl 6):34. 74. Esmatjes E, Castell A, Goday E, Montanya JM, Pou I, Salinas R, et al. Prevalencia de nefropatía diabética en la diabetes tipo 1. Med Clin (Barc) 1998;110:6-10.[Medline][Artículo] 75. Esmatjes E, Castell C, González T, Tresserras R, Lloveras G, The Catalan Nephropathy. Study Group. Epidemiology of renal involvement in type II diabetics (NIDDM) in Catalonia. Diabetes Res Clin Pract 1996;32:157-63.[Medline] 76. De Pablos PL, Martínez Martín FJ, Martínez MP, Aguilar JA. Prevalence of nephropathy in a canarian population of non insulin-dependent diabetics. Relationship with obesity, blood pressure, lipid profile and metabolic control. Diabetes et Metabolism 1998;24:337-43. 77. Robles NR, Cid MC, Roncero F, Pizarro JL, Sánchez-Casado E, Pérez-Miranda M. Incidencia de nefropatía diabética en la provincia de Badajoz durante el período 1990-1994. An Med Intern 1996;13:572-5. 78. Mur T, Franch J, Morató J, Llobera A, Vilarrubias, Ros C. Nefropatía y microalbuminuria en la diabetes tipo II. Aten Primaria 1995b;16:516-24. 79. Esmatjes E, Goicolea I, Cacho L, De Pablos PL, Rodríguez R, Roche MJ, et al. Nefropatía en la diabetes mellitus tipo II: prevalencia en España. Avances en Diabetología 1997;13:29-35. 80. Cabezas-Cerrato J, for the Neuropathy Spanish Study Group of the Spanish Diabetes Society. The prevalence of clinical diabetic polyneuropathy in Spain: a study in primary care and hospital clinic groups. Diabetologia 1998;41:1263-9.[Medline] 81. Figuerola D, Recasens A, Castell C, Lloveras G y Grupo Catalán de Estudio de la Diabetes (GCED). La asistencia al diabético en Cataluña. Estudio en una muestra de población. Med Clin (Barc) 1992;99:90-5.[Medline] 82. Goicolea I, Mancha A, Pérez B, Villar G, Ugarte E, Vázquez JA. Prevalencia de complicaciones crónicas de la diabetes en un área sanitaria de Vizcaya. Endocrinología 1996;43: 337-41. 83. Hart WH, Espinosa C, Rovira J. El coste de la diabetes conocida en España. Med Clin (Barc) 1997;109:289-93.[Medline][Artículo] 84. Pascual JM, González C, De Juan S, Sánchez C, Sánchez B, Pérez M. Impacto de la diabetes mellitus en los costes de hospitalización. Med Clin (Barc) 1996;107:207-10.[Medline] 85. Hart WH, Espinosa C, Rovira J. A simulation model of the cost of the incidence of IDDM in Spain. Diabetologia 1997;40: 311-8.[Medline] 86. Groeneveld Y, Petri H, Hermans J, Springer MP. Relationship between blood glucose level and mortality in type 2 diabetes mellitus: a systematic review. Diabet Med 1999;16:2-13.[Medline] 87. Chen KT, Chen CJ, Fuh MM, Narayan KM. Causes of death and associated factors among patients with non-insulin-dependent diabetes mellitus in Taipei, Taiwan. Diabetes Res Clin Pract 1999b;43:101-9. 88. Kanters SD, Banga JD, Stolk RP, Algra A. Incidence and determinants of mortality and cardiovascular events in diabetes mellitus: a meta-analysis. Vasc Med 1999;4:67-75.[Medline] 89. Muller WA. Diabetes mellitus-long time survival. J Insur Med 1998;30:17-27.[Medline] 90. Wei M, Gaskill SP, Haffner SM, Stern MP. Effects of diabetes and level of glycemia on all-cause and cardiovascular mortality. The San Antonio Heart Study. Diabetes Care 1998;21:1167-72.[Medline] 91. Epidemiología de la diabetes mellitus. Boletín Epidemiológico Semanal 1979;1370:65-82. 92. Regidor E. Evolución de la mortalidad por las principales enfermedades crónicas en España. Med Clin (Barc) 1992; 99:725-8.[Medline] 93. Orozco D, Gil V, Picó JA, Tobías J, Quirce F, Merino J. Mortalidad por diabetes mellitus en España: análisis comparativo entre las provincias españolas en el período 1981-1986. Aten Primaria 1995;15:349-56.[Medline] 94. Davis TM, Stratton IM, Fox CJ, Holman RR, Turner RC. (UKPDS 22). Effect of age at diagnosis on diabetic tissue damage during the first 6 years of NIDDM. Diabetes Care 1997;20: 1435-41.[Medline] 95. Shaw JT, Purdie DM, Neil HA, Levy JC, Turner RC. The relative risks of hyperglycaemia, obesity and dyslipidaemia in the relatives of patients with type 2 diabetes mellitus. Diabetologia 1999;42:24-7.[Medline] 96. Costa A, Ríos M, Casamitjana R, Gomis R, Conget I. High prevalence of abnormal glucose tolerance and metabolic disturbances in first degree relatives of NIDDM patients. A study in Catalonia, a Mediterranean community. Diabetes Res Clin Pract 1998;41:191-6.[Medline] 97. Haffner SM. Epidemiology of type 2 diabetes: risk factors. Diabetes Care 1998;21(Suppl 3):C3-C6. 98. Hosey G, Gordon S, Levine A. Type 2 diabetes in people of color. Nurse Pract Forum 1998;9:108-14.[Medline] 99. Carter JS, Pugh JA, Monterrosa A. Non-insulin-dependent diabetes mellitus in minorities in the United States. Ann Intern Med 1996;125:221-32.[Medline] 100. Kelestimur F, Cetin M, Pasaoglu H, Coksevim B, Cetinkaya F, Unluhizarci K, et al. The prevalence and identification of risk factors for type 2 diabetes mellitus and impaired glucose tolerance in Kayseri, central Anatolia, Turkey. Acta Diabetol 1999; 36:85-91.[Medline] 101. Abu Sayeed M, Ali L, Hussain MZ, Rumi MA, Banu A, Azad Khan AK. Effect of socioeconomic risk factors on the difference in prevalence of diabetes between rural and urban populations in Bangladesh. Diabetes Care 1997;20:551-5.[Medline] 102. Ramlo-Halsted BA, Edelman SV. The natural history of type 2 diabetes. Implications for clinical practice. Prim Care 1999;26: 771-89.[Medline] 103. Nijpels G. Determinants for the progression from impaired glucose tolerance to non-insulin-dependent diabetes mellitus. Eur J Clin Invest 1998;28(Suppl 2):8-13. 104. Chou P, Li CL, Wu GS, Tsai ST. Progression to type 2 diabetes among high-risk groups in Kin-Chen, Kinmen. Exploring the natural history of type 2 diabetes. Diabetes Care 1998;21: 1183-7.[Medline] 105. Edelstein SL, Knowler WC, Bain RP, Andres R, Barrett-Connor EL, Dowse GK, et al. Predictors of progression from impaired glucose tolerance to NIDDM: an analysis of six prospective studies. Diabetes 1997;46:701-10.[Medline] 106. Sakurai Y, Teruya K, Shimada N, Umeda T, Tanaka H, Muto T, et al. Association between duration of obesity and risk on non-insulin-dependent diabetes mellitus. The Sitetsu Study. Am J Epidemiol 1999;149:256-60.[Medline] 107. Wannamethee SG, Shaper AG. Weight change and duration of overweight and obesity in the incidence of type 2 diabetes. Diabetes Care 1999;22:1266-70.[Medline] 108. Bjorntorp P, Rosmond R. Visceral obesity and diabetes. Drugs 1999;58(Suppl 1):13-8. 109. Feskens EJ, Van Dam RM. Dietary fat and the etiology of type 2 diabetes: an epidemiological perspective. Nutr Metab Cardiovasc Dis 1999;9:87-95.[Medline] 110. Salmerón J, Manson JE, Stamfer MJ, Colditz GA, Wing AL, Willet WC. Dietary fiber, glycemic load, and risk of non-insulin-dependent diabetes mellitus in women. JAMA 1997;277: 472-7.[Medline] 111. Hannah JS, Howard BV. Dietary fats, insulin resistance, and diabetes. J Cardiovasc Risk 1994;1:31-7.[Medline] 112. Meyer Ka, Kushi LH, Jacobs DR Jr, Slavin J, Sellers TA, Folsom AR. Carbohydrates, dietary fiber, and incident type 2 diabetes in older women. Am J Clin Nutr 2000;71:921-30.[Medline] 113. Kao WH, Folsom AR, Nieto FJ, Mo JP, Watson RL, Brancati FL. Serum and dietary magnesium and the risk for type 2 diabetes mellitus: the Atherosclerosis Risk in Communities Study. Arch Intern Med 1999;159:2151-9.[Medline] 114. Williams DE, Wareham NJ, Cox BD, Byrne CD, Hales CN, Day NE. Frequent salad vegetable consumption is associated with a reduction in the risk of diabetes mellitus. J Clin Epidemiol 1999;52:329-35.[Medline] 115. Tsumura K, Hayashi T, Suematsu C, Eno G, Fujii S, Okada K. Daily alcohol consumption and the risk of type 2 diabetes in Japanese men: the Osaka Health Survey. Diabetes Care 1999;22: 1432-7.[Medline] 116. Rimm EB, Chan J, Stampfer MJ, Colditz GA, Willett WC. Prospective study of cigarette smoking, alcohol use, and the risk of diabetes in men. BMJ 1995;310:555-9.[Medline] 117. Salonen JT, Nyyssonen K, Tuomainen TP, Maenpaa PH, Korpela H, Kaplan GA, et al. Increased risk of non-insulin-dependent diabetes at low plasma vitamin E concentrations: a four year follow up study in men. BMJ 1995;311:1124-7.[Medline] 118. Okada K, Hayashi T, Tsumura K, Suematsu C, Endo G, Fujii S. Leisure-time physical activity at weekends and the risk of type 2 diabetes mellitus in Japanese men: the Osaka Health Survey. Diabet Med 2000;17:53-8.[Medline] 119. Folsom AR, Kushi LH, Hong CP. Physical activity and incident diabetes mellitus in postmenopausal women. Am J Public Health 2000;90:134-8.[Medline] 120. Takemura Y, Kikuchi S, Inaba Y, Yasuda H, Nakagawa K. The protective effect of good physical fitness when young on the risk of impaired glucose tolerance when old. Prev Med 1999;28:14-9.[Medline] 121. Kelley DE, Goodpaster BH. Effects of physical activity on insulin action and glucose tolerance in obesity. Med Sci Sports Exerc 1999;31(Suppl 11):619-23. 122. Wei M, Gibbons LW, Mitchell TL, Kampert JB, Lee CD, Blair SN. The association between cardiorespiratory fitness and impaired fasting glucose and type 2 diabetes mellitus in men. Ann Intern Med 1999;130:89-96.[Medline] 123. Wallberg-Henriksson H, Rincón J, Zierath JR. Exercise in the management of non-insulin-dependent diabetes mellitus. Sports Med 1998;25:25-35.[Medline] 124. Ramaiya KL, Swai ABM, Alberti KGMM, McLarty D. Life style changes decrease rates of glucose intolerance and cardiovascular risk factors: a six year intervention study in a high risk Hindu Indian subcommunity. Diabetologia 1992;35( Suppl 1): 60. 125. Uchimoto S, Tsumura K, Hayashi T, Suematsu C, Endo G, Fujii S, et al. Impact of cigarette smoking on the incidence of type 2 diabetes mellitus in middle-aged Japanese men: the Osaka Health Survey. Diabet Med 1999;16:951-5.[Medline] 126. Morikawa Y, Nakgama H, Ishizaki M, Tabata M, Nishijo M, Miura K, et al. Ten-year follow-up study on the relation between the development of non-insulin-dependent diabetes mellitus and occupation. Am J Ind Med 1997;31:80-4.[Medline] 127. Kawakami N, Araki S, Takatsuka N, Shimizu H, Ishibashi H. Overtime, psychosocial working conditions, and occurrence of non-insulin-dependent diabetes mellitus in Japanese men. J Epidemiol Community Health 1999a;53:359-63. 128. Kawakami N, Takatsuka N, Shimizu H, Ishibashi H. Depressive symptoms and occurrence of type 2 diabetes among Japanese men. Diabetes Care 1999b;22:1071-6. 129. Skarfors ET, Selinus KI, Lithell HO. Risk factors for developing non-insulin dependent diabetes: a 10 year follow up of men in Uppsala. BMJ 1991;303:755-60.[Medline] 130. Phillips DI. Birth weight and the future development of diabetes. A review of the evidence. Diabetes Care 1998;21(Suppl 2): 150-5. 131. Hales CN, Barker DJP, Clark PMS, Cox LJ, Fall C, Osmond C, et al. Fetal and infant growth and impaired glucose tolerance at age 64. BMJ 1991;303:1019-22.[Medline] 132. Minchoff LE, Grandin JA. Syndrome X. Recognition and management of this metabolic disorder in primary care. Nurse Pract 1996;21:74-5, 79-80, 83-6. 133. Cutfield WS, Wilton P, Bennmarker H, Albertsson-Wikland K, Chatelain P, Ranke MB, et al. Incidence of diabetes mellitus and impaired glucose tolerance in children and adolescents receiving growth-hormone treatment. Lancet 2000;355:610-3.[Medline] 134. Ratner RE. Type 2 diabetes mellitus: the grand overview. Diabet Med 1998;15(Suppl 4):4-7. 135. Eriksson KF, Lindgarde F. No excess 12-year mortality in men with impaired glucose tolerance who participated in the Malmo Preventive Trial with diet and exercise. Diabetologia 1998;41: 1010-6.[Medline] 136. Chiasson JL, Gomis R, Hanefeld M, José RG, Karasik A, Laakso M. The STOP-NIDDM: an international study on the efficacy of an alpha-glycosidase inhibitor to prevent type 2 diabetes in a population with impaired glucose tolerance: rationale, design, and preliminary screening data. Study to Prevent Non-Insulin-Dependent Diabetes Mellitus. Diabetes Care 1998;21:1720-5.[Medline] 137. Flórez H. Pasos hacia la prevención primaria de la diabetes mellitus tipo 2. Varias consideraciones epidemiológicas. Invest Clin 1997;38:39-52.[Medline] 138. Toumilehto J, Lindstrom J, Eriksson JG, Valle TT, Hamalainen H, Ilanne-Parikka P, et al. Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance. N Engl J Med 2001;344:1343-50.[Medline] 139. Kriska AM, Pereira MA, Hanson RL, De Courten MP, Zimmet PZ, Alberti KG, et al. Association of phyical activity and serum insulin concentrations in two populations at high risk for type 2 diabetes but differing by BMI. Diabetes Care 2001;24:1175-80.[Medline] 140. Weyer C, Hanson K, Bogardus C, Pratley RE. Long-tern changes in insulin action and insulin secretion associated with gain, loss, regain and maintenance of body weight. Diabetologia 2000;43:36-46.[Medline] 141. Hu FB, Manson JE, Stampfer MJ, Colditz G, Liu S, Solomon CG, et al. Diet, lifestyle, and the risk of type 2 diabetes mellitus in women. N Engl J Med 2001;345:790-7.[Medline]
|
|
|
| |
(c) Copyright 1997 -
Spanish Society of Cardiology
We recommend viewing this site in:
MS Explorer v6.0, Firefox v2.0 or higher. |
|