Background
Progressive increment of body weight of the population is a major problem faced by the public health systems in a number of countries. Today, more than 1.1 billion adults worldwide are overweight, of which 312 million are obese [
1]. In the past 20 years, the rates of obesity have tripled in developing countries adopting Western lifestyles. In Iran, as well as other developing countries, the prevalence of overweight and obesity shows a rapid increasing pattern during recent years [
2].
Obesity and overweight are associated with a number of co-morbidities [
3]. A higher body-mass index (BMI) has been shown to account for up to 16% of the global burden of disease, expressed as a percentage of disability-adjusted life-years. In the developed world, 2 to 7% of total health care costs are attributable to obesity. Moreover, the growing prevalence of type 2 diabetes, cardiovascular disease, and some cancers are tied to excess weight. Several studies have found that the single measure of being overweight or obese in early middle age predicts increased cardiovascular disease risk two or three decades later [
4‐
7] and that the increase in the prevalence of type 2 diabetes is closely linked to the upsurge in obesity [
8‐
11]. Based on the fact that adipose tissue is an important endocrine organ, it is not surprising that overweight individuals are at increased risk of diabetes [
12,
13]. Indeed, obesity is the strongest risk factor for diabetes [
14]. A 20-year follow-up of Whickham study found that BMI is an independent predictor of diabetes [
15]. Another study from Japan revealed that increases in BMI of 1 kg/m
2 (equal to body-weight gain of 2.4 to 2.9 kg) may raise the risk of diabetes by 25% [
14]. BMI, even within the non-obese level, is still a dose dependent risk factor for diabetes mellitus [
14,
16]. A recent survey of a Scottish population reported that within the normal weight group, the risk of developing diabetes was 2 to 3 times greater in the higher half of normal BMI range in comparison to the lower half [
17].
Considering the fact that little evidence exists regarding the contribution of excess weight to diabetes in the Middle East countries, in this cohort study with 3.6-years follow-up, we examined the strength of association between excess weight and incident type 2 DM in a short term period, using data of a large population-based cohort study conducted in Iran [
18]. Moreover, we aimed at quantifying the adjusted population attributable risk percentage of developing type 2 DM, an estimate that can give us an idea of the extent of diabetes mellitus caused by overweight and obesity.
Results
Of the 4728 subjects studied, aged 42.9 ± 13.6 years at the beginning of the study, 41.5% (n = 1961) were male and 58.5% (n = 2767) were female. Overall, 42.3% (n = 2001) were overweight and 23.7% (n = 1121) were obese. The proportion of obesity was significantly higher in women than in men (29.8% vs. 15.1%, respectively;
P < 0.001). Furthermore, underweight subjects were more likely to be current smokers (16.7%) and obese subjects were more likely to be non-smoker (87.1%) (Linear-by-linear association χ
2 = 44.4,
P < 0.001). Also, a positive family history of diabetes was reported more in obese subjects than in normal and underweight ones (
P < 0.001). Systolic and diastolic blood pressures as well as serum triglycerides were positively related to BMI category (Table
1). Almost similar patterns were observed in men (Additional file
1) and women (Additional file
2).
Table 1
General characteristics and biochemical variables among the four categories of body mass index (BMI)
Number (%) | 4728 (100) | 90 (1.9) | 1516 (32.1) | 2001 (42.3) | 1121 (23.7) | |
Age (years) | 42.9 ± 13.6 | 34.3 ± 14.7 | 40.0 ± 14.4 | 44.0 ± 13.1 | 45.4 ± 12.1 | < 0.001 |
Female (%) | 58.5 | 56.7 | 49.4 | 57.1 | 73.6 | < 0.001 |
Family history of diabetes (%) | 27.0 | 17.2 | 23.9 | 28.0 | 30.1 | < 0.001 |
Current cigarette smoker (%) | 11.9 | 16.7 | 15.5 | 11.3 | 7.5 | < 0.001 |
Non-smoker (%) | 81.2 | 78.9 | 77.3 | 81.0 | 87.1 | < 0.001 |
Systolic blood pressure (mmHg) | 119 ± 18 | 105 ± 13 | 114 ± 16 | 120 ± 18 | 124 ± 19 | < 0.001 |
Diastolic blood pressure (mmHg) | 78 ± 10 | 70 ± 8 | 74 ± 10 | 78 ± 10 | 82 ± 10 | < 0.001 |
Fasting plasma glucose (mmol/L) | 5.00 ± 0.54 | 4.74 ± 0.39 | 4.88 ± 0.51 | 5.03 ± 0.54 | 5.13 ± 0.56 | < 0.001 |
2-hour postchallenge plasma glucose (mmol/L) | 5.95 ± 1.64 | 4.94 ± 1.33 | 5.50 ± 1.48 | 6.07 ± 1.64 | 6.45 ± 1.68 | < 0.001 |
Triglycerides (mmol/L) | 1.88 ± 1.17 | 1.00 ± 0.50 | 1.50 ± 0.92 | 2.03 ± 1.25 | 2.21 ± 1.22 | < 0.001 |
Total cholesterols (mmol/L) | 5.44 ± 1.16 | 4.56 ± 0.94 | 5.08 ± 1.08 | 5.54 ± 1.14 | 5.80 ± 1.15 | < 0.001 |
HDL-C (mmol/L) | 1.09 ± 0.28 | 1.29 ± 0.31 | 1.13 ± 0.29 | 1.08 ± 0.28 | 1.07 ± 0.27 | < 0.001 |
LDL-C (mmol/L) | 3.49 ± 0.97 | 2.81 ± 0.86 | 3.26 ± 0.93 | 3.56 ± 0.96 | 3.72 ± 0.95 | < 0.001 |
During the 3.6-year follow-up period, 3.8% of the participants (n = 182) developed diabetes, of whom, 59.9% (n = 109) were women. Of the normal, overweight, and obese subjects 1.4%, 3.6%, and 7.8% developed diabetes, respectively, while none of the 90 underweight subjects became diabetic during the follow-up period. Hence, we excluded the underweight subjects from additional analyses.
The ORs for incident diabetes were 2.57 (95% CI 1.60 to 4.13) for overweight and 5.79 (95% CI 3.63 to 9.23) for obesity when compared to normal BMI. Table
2 shows that stepwise adjustments for family history of diabetes, age, triglycerides, and systolic blood pressure attenuated the ORs of incident diabetes in overweight and obese subjects, an attenuation which was greater in the obese than in the overweight group and also, was less when adjusted for systolic blood pressure than the other variables (Table
2). The same pattern was observed in both sexes. Furthermore, the crude and adjusted ORs were higher in women than men for both overweight and obese participants. Adjusted ORs for incidence diabetes in overweight men were not statistically significant.
Table 2
Odds ratios for incident diabetes in 3.6-year follow-up in 4638 subjects (1922 men and 2716 women) without diabetes at baseline by the three main categories of body mass index (BMI)
Number (%) | 1516 | 2001 | 1121 | 767 | 859 | 296 | 749 | 1142 | 825 |
Number of incident diabetes (%) | 23 (1.4) | 72 (3.6) | 87 (7.8) | 15 (2.0) | 32 (3.7) | 26 (8.8) | 8 (1.1) | 40 (3.5) | 61 (7.4) |
Unadjusted odds ratios (95% CI) | 1 | 2.57 (1.60–4.13) | 5.79 (3.63–9.23) | 1 | 1.9 (1.04 – 3.61) | 4.83 (2.52 – 9.25) | 1 | 3.36 (1.57–7.22) | 7.39 (3.52–15.56) |
Adjusted odds ratios (95% CI) | | | | | | | | | |
Family history of diabetes (FHD) | 1 | 2.48 (1.53–4.03) | 5.36 (3.32–8.65) | 1 | 1.82 (0.95 – 3.47) | 4.69 (2.40–9.15) | 1 | 3.27 (1.52–7.03) | 6.57 (3.11–13.90) |
FHD & age | 1 | 2.20 (1.35–3.58) | 4.65 (2.87–7.52) | 1 | 1.67 (0.87–3.20) | 4.68 (2.39–9.18) | 1 | 2.78 (1.29–6.01) | 5.17 (2.42–11.0) |
FHD & age & triglycerides | 1 | 1.89 (1.15–3.09) | 3.89 (2.39–6.32) | 1 | 1.31 (0.67–2.56) | 3.82 (1.93–7.55) | 1 | 2.54 (1.17–5.51) | 4.46 (2.07–9.60) |
FHD & age & triglycerides & systolic blood pressure | 1 | 1.76 (1.07–2.89) | 3.54 (2.16–5.79) | 1 | 1.2 (0.62–2.40) | 3.52 (1.76–7.04) | 1 | 2.43 (1.12–5.29) | 4.15 (1.92–8.97) |
Population attributable risk (%) (95% CI) | | 23.3 (21.3–25.3) | 37.1 (36.2–37.9) | | 7.8 (3.8–11.8) | 26.6 (24.6–28.7) | | 35.3 (31.7–38.8) | 48.34 (47.1–49.6) |
Population attributable risk percentages comparing overweight and obesity with normal BMI (< 25 kg/m2) and based on odds ratios obtained from the models adjusted for family history of diabetes, age, triglycerides, and systolic blood pressure were 23.3% (95% CI 21.3% to 25.3%) and 37.1% (95% CI 36.2% to 37.9%), respectively. That is 60.4% of total incident of T2DM could be attributed to excess weight in the general population of Tehran; while, this figure was 83.6% in women but 34.4% in men.
Discussion
This study shows that in an urban population during a short period of follow-up, there is a strong association between excess weight and risk of diabetes; despite the association being reduced by adjustment of some well known related factors, it remained considerable. In general, more than a half of the disease burden of diabetes could be attributed to excess weight. In our study, furthermore, compared with normal individuals, the adjusted odds ratios for incident type 2 DM for overweight and obese individuals were 1.76 and 3.54, respectively. Moreover, the adjusted population attributable risk of developing type 2 DM for overweight was 23.3% and for obesity was 37.1%. Noticeably, while in women, 83.6% of new cases of diabetes could be attributed to excess weight, in men, almost one third of incident diabetes was attributed to overweight or obesity.
These findings are in accordance with the results of previous studies, which have consistently demonstrated the association between BMI and increased risk of diabetes [
8‐
11,
15]. These studies differ in terms of age and sex of their study population, length of follow-up time, and the variables selected for adjustment. Studies with short follow-up, similar to ours, have reported strong relationships between excess weight and the risk of developing diabetes. During a 5-year follow-up in a cohort of 51529 male, health professionals, 40–75 years of age, those with a BMI of 35 and over had a multivariate adjusted relative risk of 42.1 (CI 95% 22 to 86) compared with men who had a BMI < 23 [
8]. In our study with shorter follow-up time (i.e. 3.6 years) and after adjustment for age, family history of diabetes, triglycerides and systolic blood pressure, obese individuals with average age of 45.4 years, had a 3.5 times greater risk than those who had BMI < 25 kg/m
2 at baseline. Other studies with longer follow-ups have also demonstrated this association. A study of Scottish men and women, aged 45–64 years, with follow-ups of over 28 years, reported an adjusted odds ratio equal to 18.5 for an obese group in comparison to a normal weight group [
17]. The fat cell can be considered as a type of endocrine cell, and adipose tissue an endocrine organ [
24]. Adipocytes secrete a number of adipocyte hormones and cytokines. These adipocyte hormones and adipokines therefore may increase the risk of diabetes via several pathways such as increasing insulin resistance [
24]. In addition, several studies have shown that in high-risk populations, weight loss can reduce the risk of diabetes. The Diabetes Prevention Program Research Group study found that lifestyle interventions implemented over 2.8 years reduced the incidence of diabetes by 58% [
25]. Likewise, a modest weight loss of one kg was associated with a 33% lower risk of diabetes [
16].
Although, the association between BMI and increased risk of diabetes was significant in the population studied, this association was stronger in women than men; the crude and adjusted ORs being almost 1.5 to 2 times higher in women than men (table
2). This can be explained by the fact that obesity was more prevalent in women. Moreover, lower levels of physical activity in women than men, weight gains in pregnancy and not returning to the optimal weight, may be other causes of the higher rate of obesity and incident diabetes in women [
2]. This interpretation is in accordance with previous findings from the Health Professional Follow-Up Study [
8], and the Nurses Health Study [
9] which showed that age-adjusted relative risk for incident diabetes was higher in women than men across the spectrum of BMI. Despite these explanations, however, incidence of DM is almost equal between sexes (3.7% in men vs. 3.9% in women). There are some explanations for this finding; first, absolute weight gain and increase in waist circumference, during the 3.6 years follow-up period, in men were greater than women. These changes among men may describe why the incidence of diabetes in men was almost similar to women despite higher proportions of obesity in women. Second, men were somewhat older than women were. Last but not least, the lost-to-follow-up rate was higher in women than in men. That is, some of the women who developed diabetes had been lost (data not shown).
Despite the strong association between excess weight and developing diabetes, only a few studies have reported estimates of the risk of diabetes attributable to overweight and obesity [
17,
24]. In the study of a Scottish population, population attributable risk percentages comparing those who were in the high normal weight group or above, to those in the low normal weight group (18.5 to < 22.5 kg/m2) were around 60% [
17]. The estimated population attributable risk of the effect of obesity on incident diabetes was considerable in our study, showing that thirty percent of the disease burden of diabetes in our population was due to obesity. Since diabetes is indeed a preventable disease, the causal relationship of the obesity with diabetes is well established and it is conceivable that obesity can be eliminated, the population attributable fraction is an appropriate measure to be used by health policy officials for future strategies.
Regarding both the strengths and limitations of our study, the main strength of our study is a large sample sized population-based prospective study; in this cohort, we clearly showed an independent role for overweight and obesity in the development of diabetes. In addition, given the population-based design of our study, it enabled the impact of overweight and obesity to be estimated in terms of their population attributable risk, which can help policymakers to implement appropriate programs to prevent diabetes. The several limitations of our analysis also deserve comment. First, we could not adjust some confounding variables such as physical activity, socio-economic status, and dietary habit. Second, since the number of cases of incident diabetes in subjects with normal BMI was relatively low, we were unable to show possible trends across normal BMI category. Third, we have used weight and height measured at a particular point in time; it is possible that some participants who were underweight or had normal weight at the baseline assessment will have increased weight in the intervening period or vice versa. The results of this would be to dilute any effect of the true association. Last but not least, the main limitation, a considerable fraction of subjects were lost during the follow-up period; it is possible that some participants who developed incident diabetes were among those lost, which might influence our estimates. Furthermore, because those who lost to follow-up were relatively healthier, we may overestimate the population attributable risk.
Our estimate is quite less than that of other long-term studies [
17,
24,
26] which estimated population attributable risk for diabetes associated with excess weight. This estimate may be less if we could adjust for further risk factors of diabetes including physical activity, socio-economic status, and dietary habit. This implies that in short-term intervals, contribution of other risk factors such as smoking, physical activity, poor diet, and weight change may be more important compared to long-term follow-up [
26]; this may be noticeable particularly in men. Accordingly, one may speculate that in order to implement short-term preventive strategies, paying more attention to other risk factors of diabetes might be reasonable.
Competing interests
The author(s) declare that they have no competing interests.
Authors' contributions
• F.H. contributed to design of the study, manuscript preparation, and reading and approval of the final manuscript.
• M.R. contributed to design of the study, analysis of data, and writing of the manuscript and its revisions, and reading and approval of the final manuscript.
• F.A. contributed to provision of data, and reading and approval of the final manuscript.