The effects of initial and subsequent adiposity status on diabetes mellitus

The effects of initial and subsequent overweight or obesity on hypertension in the middle age

The aims of our study were to examine whether initial or subsequent adiposity status had a greater effect on hypertension. We collected data in 1992 and again in 2007 from the same group of 597 individuals in the middle age. The subjects were classified into four groups: individuals with a normal body mass index (BMI) in 1992 and 2007 were in Group I; those with a normal BMI in 1992, but became overweight or obese in 2007 were in Group II; those who were overweight or obese in 1992, but had a normal BMI in 2007 were in Group III; and those who were overweight or obese in 1992 and 2007 were in Group IV. Their demographic data were recorded. The relationship between adiposity status and hypertension was analyzed using logistic regression model. The cumulative incidence of hypertension was 35.5%, 56.3%, 50.0%, and 65.1% for Group I to IV, respectively. Compared with Group I, after adjusted factors, the hazard ratio (HR) was 1.80 for Group II (P = .001), 1.40 for Group III (P = .150), and 2.31 for Group IV (P < .001). Adiposity status in 2007 could predict hypertension (OR = 2.5, P < .001), as opposed to the initial adiposity status (P = .148). Subsequently adiposity status could have major effects on hypertension. Our society is very short of public health resources, particularly in developing countries, we should pay more attention to current adiposity status and encourage middle-aged people to lose weight.

Association between distinct body mass index trajectories according to the group-based trajectory modeling and the risk of incident diabetes: A systematic review

We aimed to determine the association between distinct body mass index (BMI) trajectories, using group-based trajectory modeling, and the subsequent risk of incident diabetes. Five databases were systematically searched. Fourteen population-based cohort studies that summarized the association between different BMI trajectories and subsequent diabetes, with the four most common BMI trajectories including the "stable," "increasing," "decreasing," and "turning" groups, were included. The rapid increase and stable high-level BMI groups showed the strongest association with the subsequent risk of diabetes compared with the stable normal BMI group. Increased baseline BMI levels resulted in a steeper slope and greater risk of subsequent diabetes. In the decreasing BMI group, one study reported that those aged &gt;50 years showed the highest incidence of subsequent diabetes, whereas the other two studies reported no association between these two variables. In the turning group, an increase followed by a decrease in BMI levels from adolescence to late adulthood could reduce the risk of developing diabetes, although the residual risk remained. By contrast, the incidence of subsequent diabetes remained high in the middle-aged BMI-turning group. This study can provide further insights for identifying populations at high risk of diabetes and for developing targeted prevention strategies.

The Relative Body Weight Gain From Early to Middle Life Adulthood Associated With Later Life Risk of Diabetes: A Nationwide Cohort Study

AIM

To determine the effect of decade-based body weight gain from 20 to 50 years of age on later life diabetes risk.

METHODS

35,611 non-diabetic participants aged ≥ 50 years from a well-defined nationwide cohort were followed up for average of 3.6 years, with cardiovascular diseases and cancers at baseline were excluded. Body weight at 20, 30, 40, and 50 years was reported. The overall 30 years and each 10-year weight gain were calculated from the early and middle life. Cox regression models were used to estimate risks of incident diabetes.

RESULTS

After 127,745.26 person-years of follow-up, 2,789 incident diabetes were identified (incidence rate, 2.18%) in 25,289 women (mean weight gain 20-50 years, 7.60 kg) and 10,322 men (7.93 kg). Each 10-kg weight gain over the 30 years was significantly associated with a 39.7% increased risk of incident diabetes (95% confidence interval [CI], 1.33-1.47); weight gain from 20-30 years showed a more prominent effect on the risk of developing diabetes before 60 years than that of after 60 years (Hazard ratio, HR = 1.084, 95% CI [1.049-1.121], P <0.0001 vs. 1.015 [0.975-1.056], P = 0.4643; P_Interaction=0.0293). It showed a stable effect of the three 10-year intervals weight gain on risk of diabetes after 60 years (HR=1.055, 1.038, 1.043, respectively, all P < 0.0036).

CONCLUSIONS

The early life weight gain showed a more prominent effect on developing diabetes before 60 years than after 60 years; however, each-decade weight gain from 20 to 50 years showed a similar effect on risk developing diabetes after 60 years.

Buddhist Activities related to Sedentary behavior and Hypertension in Tibetan monks

Previous studies suggest sedentary behavior (SB) is a risk factor for hypertension. However, buddhist activities related to SB in Tibetan monks is quite different from common SB. Meditation, chanting, and buddhist teaching are the main features during sitting. There is no study to examine the association between buddhist activities related to sitting and hypertension. There were 594 Tibetan monks included for analysis. Buddhist activities related to SB involve hours of meditation, chanting, and buddhist teaching for a typical weekday and weekend day. After controlling potential risk factors, compared with Tibetan monks who has the sedentary time < 8 h/d, those with 10 h/d ≤ sedentary time < 11 h/d was associated with about 80% decrease in the risk of hypertension (OR = 0.22;95% CI = 0.07-0.71), and about 90% decrease (OR = 0.11; 95% CI = 0.03-0.40) in those with sedentary time ≥ 11 h/d. In hypertension subgroup, buddhist activities related to SB is associated with a decrease in BP during linear regression analysis (standard β = -0.355; P = 0.004 for SBP; standard β = -0.345; P = 0.013 for DBP). We conclude that sitting might not simply represent the extremely low energy expenditure of the physical activity continuum. Psychosocial activities may play an important role in SB.

Association between the change in body mass index from early adulthood to midlife and subsequent type 2 diabetes mellitus

OBJECTIVE

To clarify the quantitative relationship of body mass index (BMI) change from early adulthood to midlife with presence of type 2 diabetes mellitus (T2DM) after midlife.

METHODS

This study included 120,666 middle-aged and elderly, whose retrospectively self-reported body weight at 20 and 40 years and measured height were available. BMI at 20 and 40 years and BMI change in between were defined as early-adulthood BMI, midlife BMI, and early-adulthood BMI change.

RESULTS

The odds ratio (OR) for T2DM associated with an 1-unit increment of early-adulthood or midlife BMI was 1.08 (95% confidence interval (CI), 1.07-1.08) and 1.09 (95% CI, 1.09-1.10) respectively. In the cross-tabulation of both early-adulthood BMI and BMI change, the prevalence of T2DM increased across both variables. Compared with participants with normal early-adulthood weight and BMI increase/decrease ≤1, the OR (95% CI) for T2DM of participants with early-adulthood overweight/obesity and BMI increase ≥4 kg/m(2) was 3.49 (3.05-4.00). For participants with early-adulthood underweight and BMI increase/decrease ≤ 1, the OR (95% CI) was 0.85 (0.75-0.97). Subgroup analysis according to sex and age showed similar trends.

CONCLUSIONS

Early-adulthood BMI may influence T2DM prevalence after midlife independent of current BMI. T2DM prevalence after midlife was positively associated with early-adulthood weight gain and inversely related to early-adulthood weight loss, while early-adulthood weight loss could not completely negate the adverse effect of early-adulthood overweight/obesity on diabetes.

Hypertriglyceridemic waist might be an alternative to metabolic syndrome for predicting future diabetes mellitus

Background

In some cross-sectional studies, hypertriglyceridemic waist (HTGW) has been recommended as an alternative to metabolic syndrome (MetS) for screening individuals at high risk for diabetes mellitus (DM). However, little information is about the predictive power of HTGW for future DM. The aims of the study were to assess the DM predictive power of HTGW compared with MetS based on the follow-up data over 15 years collected from a general Chinese population.

Methods

And Findings: The data were collected in 1992 and then again in 2007 from the same group of 687 individuals without DM in 1992. For the whole population (n =687), multivariate analysis showed presence of HTGW was associated with a 4.1-fold (95%CI: 2.4-7.0, p < 0.001) increased risk and presence of MetS was associated with a 3.7-fold (95%CI: 2.2-6.2, p < 0.001) increased risk for future DM. For the population without elevated fasting plasma glucose (n = 650), multivariate analysis showed presence of HTGW was associated with a 3.9-fold (95%CI: 2.2-7.0, p < 0.001) increased risk and presence of MetS was associated with a 3.7-fold (95%CI: 2.1-6.6, p < 0.001) increased risk for future DM.

Conclusions

HTGW could predict future DM independently, and the predictive power was similar to MetS. HTGW might be an alternative to MetS for predicting future DM. For simpler and fewer components, HTGW might be more practical than MetS, and it might be recommended in most clinical practices. This finding might be more useful for the individuals who only have elevated WC and TG. Although these individuals are without MetS, they are still at high risk for future DM, similarly to the individuals with MetS.