Underweight as a predictor of diabetes in older adults: a large cohort study

The Impact of Sex, Body Mass Index, Age, Exercise Type and Exercise Duration on Interstitial Glucose Levels during Exercise

The impact of age, sex and body mass index on interstitial glucose levels as measured via continuous glucose monitoring (CGM) during exercise in the healthy population is largely unexplored. We conducted a multivariable generalized estimating equation (GEE) analysis on CGM data (Dexcom G6, 10 days) collected from 119 healthy exercising individuals using CGM with the following specified covariates: age; sex; BMI; exercise type and duration. Females had lower postexercise glycemia as compared with males (92 ± 18 vs. 100 ± 20 mg/dL, p = 0.04) and a greater change in glycemia during exercise from pre- to postexercise (p = 0.001) or from pre-exercise to glucose nadir during exercise (p = 0.009). Younger individuals (i.e., <20 yrs) had higher glucose during exercise as compared with all other age groups (all p < 0.05) and less CGM data in the hypoglycemic range (<70 mg/dL) as compared with those aged 20-39 yrs (p < 0.05). Those who were underweight, based on body mass index (BMI: <18.5 kg/m2), had higher pre-exercise glycemia than the healthy BMI group (104 ± 20 vs. 97 ± 17 mg/dL, p = 0.02) but similar glucose levels after exercise. Resistance exercise was associated with less of a drop in glycemia as compared with aerobic or mixed forms of exercise (p = 0.008) and resulted in a lower percent of time in the hypoglycemic (p = 0.04) or hyperglycemic (glucose > 140 mg/dL) (p = 0.03) ranges. In summary, various factors such as age, sex and exercise type appear to have subtle but potentially important influence on CGM measurements during exercise in healthy individuals.

Assessment of glycemic variability and lifestyle behaviors in healthy nondiabetic individuals according to the categories of body mass index

BACKGROUND

There are limited data about the association between body mass index (BMI), glycemic variability (GV), and life-related factors in healthy nondiabetic adults.

METHODS

This cross-sectional study was carried out within our ethics committee-approved study called "Exploring the impact of nutrition advice on blood sugar and psychological status using continuous glucose monitoring (CGM) and wearable devices". Prediabetes was defined by the HbA1c level of 5.7-6.4% and /or fasting glucose level of 100-125 mg/dL. Glucose levels and daily steps were measured for 40 participants using Free Style Libre and Fitbit Inspire 2 under normal conditions for 14 days. Dietary intakes and eating behaviors were assessed using a brief-type self-administered dietary history questionnaire and a modified questionnaire from the Obesity Guidelines.

RESULTS

All indices of GV were higher in the prediabetes group than in the healthy group, but a significant difference was observed only in mean amplitude of glycemic excursions (MAGE). In the multivariate analysis, only the presence of prediabetes showed a significant association with the risk of higher than median MAGE (Odds, 6.786; 95% CI, 1.596-28.858; P = 0.010). Additionally, the underweight (BMI < 18.5) group had significantly higher value in standard deviation (23.7 ± 3.5 vs 19.8 ± 3.7 mg/dL, P = 0.038) and coefficient variability (22.6 ± 4.6 vs 18.4 ± 3.2%, P = 0.015), compared to the normal group. This GV can be partially attributed to irregularity of eating habits. On the contrary, the overweight (BMI ≥ 25) group had the longest time above the 140 or 180 mg/dL range, which may be due to eating style and taking fewer steps (6394 ± 2337 vs 9749 ± 2408 steps, P = 0.013).

CONCLUSIONS

Concurrent CGM with diet and activity monitoring could reduce postprandial hyperglycemia through assessment of diet and daily activity, especially in non- normal weight individuals.

Risk of type 2 diabetes mellitus in adult patients with atopic dermatitis

AIMS

This study aimed to investigate the subsequent risk of type 2 diabetes mellitus (T2D) in adults newly diagnosed with atopic dermatitis (AD).

METHODS

This propensity score-matching cohort study used data from the National Health Insurance Service-National Sample Cohort (NHIS-NSC) 2.0 database in South Korea from 2002 to 2015. The adjusted hazard ratios (HRs) with 95% confidence intervals (CIs) were estimated using a Cox proportional hazards model, for the new onset of T2D (ICD-10 code, E11) in AD patients compared to the matched controls. Subgroup and sensitivity analyses were also conducted.

RESULTS

Each of the 36,692 individuals in the AD group and matched control group was included in the analysis. The risk of T2D in the AD group was significantly higher than that of the matched controls in the adjusted model (adjusted HR 1.44; 95% CI 1.27-1.63, P <.001). The results of subgroup analysis by sex, age, and body mass index were consistent with the results of the primary analysis. Sensitivity analyses using different T2D and/or AD definitions also showed consistent results.

CONCLUSIONS

The significant risk of subsequent T2D in adult AD patients suggested the necessity for efforts to prevent T2D in AD patients.

Incidence and temporal trends in type 2 diabetes by weight status: A systematic review and meta-analysis of prospective cohort studies

Background

Diabetes is more prevalent among overweight/obese individuals, but has become a significant public health challenge among normal weight populations. In this meta-analysis, we aimed to estimate diabetes/prediabetes incidence and its temporal trends by weight status.

Methods

PubMed, Embase, Web of Science, and Cochrane Library were searched until 8 December 2021. Prospective cohort studies reporting diabetes incidence by baseline body mass index (BMI) categories in adults were included. The median year of data collection was used to assess the temporal trends. Subgroup analyses and meta-regression were also performed.

Results

We included 94 studies involving 3.4 million adults from 22 countries. The pooled diabetes incidence in underweight, normal-weight, and overweight/obese adults was 4.5 (95% confidence interval (CI) = 2.8-7.3), 2.7 (95% CI = 2.2-3.3), and 10.5 (95% CI = 9.3-11.8) per 1000 person-years, respectively. The diabetes incidence in low- and middle-income countries (LMICs) was higher than in high-income countries among normal-weight (5.8 vs 2.0 per 1000 person-years) or overweight/obese (15.9 vs 8.9 per 1000 person-years) adults. European and American regions had a higher diabetes incidence than the non-Western areas, regardless of weight status. Underweight diabetes incidence decreased significantly from 1995-2000 to 2005-2010. Diabetes incidence in normal-weight populations has increased continuously since 1985 by an estimated 36% every five years. In overweight/obese adults, diabetes incidence increased between 1985-1990 and 1995-2000, stabilised between 2000 and 2010, and spiked suddenly after 2010.

Conclusions

Diabetes incidence and its temporal trends differed by weight status. The continuous upward trend of diabetes incidence among overweight/obese individuals requires urgent attention, particularly in LMICs. Furthermore, diabetes among normal-weight individuals is becoming a significant public health problem.

Registration

PROSPERO (CRD42020215957).

Being Underweight Is Associated with Increased Risk of Sudden Cardiac Death in People with Diabetes Mellitus

BACKGROUND

Diabetes mellitus (DM) can cause various atherosclerotic cardiovascular disease including sudden cardiac death (SCD). The impact of being underweight on the risk of SCD in people with DM remains to be revealed. We aimed to evaluate the risk of SCD according to body-mass index (BMI; kg/m²) level in DM population.

METHODS

We used a nationwide healthcare insurance database to conduct this study. We identified people with DM among those who underwent nationwide health screening during 2009 to 2012. Medical follow-up data was available until December 2018.

RESULTS

A total of 2,602,577 people with DM with a 17,851,797 person*year follow-up were analyzed. The underweight group (BMI < 18.5) showed 2.4-fold increased risk of SCD during follow-up (adjusted-hazard ratio [HR] = 2.40; 95% confidence interval [CI] = 2.26-2.56; p < 0.001). When normal-BMI group (18.5 ≤ BMI < 23) was set as a reference, underweight group (adjusted-HR = 2.01; 95% CI = 1.88-2.14) showed even higher risk of SCD compared with the obesity group (BMI ≥ 30; adjusted-HR = 0.89; 95% CI = 0.84-0.94). When BMI was stratified by one unit, BMI and SCD risk showed a U-curve association with the highest risk observed at low BMI levels. The lowest risk was observed in 27 ≤ BMI < 28 group. The association between being underweight and increased SCD risk in DM people was maintained throughout various subgroups.

CONCLUSIONS

Being underweight is significantly associated with an increased risk of SCD in the DM population. A steep rise in the risk of SCD was observed as the BMI level decreased below 23. The lowest risk of SCD was observed in 27 ≤ BMI < 28 group.

Urinary Sodium Excretion and Obesity Markers among Bangladeshi Adult Population: Pooled Data from Three Cohort Studies

We evaluated the relationship of urinary sodium excretion with a conditional mean, 10th and 90th percentiles of body mass index (BMI), and waist circumference among 10,034 person-visits of Bangladeshi population. We fitted linear mixed models with participant-level random intercept and restricted maximum likelihood estimation for conditional mean models; and quantile mixed-effect models with participant-level random intercept and Laplace estimation for 10th and 90th percentiles models. For each 100 mmol/24 h increase in urinary sodium excretion, participants had a 0.10 kg/m2 (95% CI: 0.00, 0.10) increase in the mean; a 0.39 kg/m2 (95% CI: 0.23, 0.54) increase in the 10th percentile; and a 0.59 kg/m2 (95% CI: 0.39, 0.78) increase in the 90th percentile of BMI. For each 100 mmol/24 h increase in urinary sodium excretion, participants had a 0.20 cm (95% CI: 0.10, 0.30) increase in mean; a 0.18 cm (95% CI: -0.03, 0.40) change in the 10th percentile; and a 0.23 cm (95% CI: 0.03, 0.43) increase in the 90th percentile of waist circumference. We found a modest association between urine sodium and conditional mean of BMI and waist circumference. The magnitude of associations between urine sodium and the 10th and 90th percentile BMI distributions were higher compared to the conditional mean models, suggesting high sodium intake could be more detrimental to underweight and obese participants.

Association of weight status and the risks of diabetes in adults: a systematic review and meta-analysis of prospective cohort studies

Obesity is a known risk factor for type 2 diabetes mellitus (T2DM); however, the associations between underweight and T2DM and between weight status and prediabetes have not been systematically reviewed. We aimed to estimate the relative risks (RRs) of prediabetes/T2DM in underweight/overweight/obesity relative to normal weight. PubMed, Embase, Web of Science, and Cochrane Library were searched from inception to December 8, 2021. Prospective cohort studies with a minimum 12-month follow-up period reporting the association between baseline body mass index (BMI) categories and risk of prediabetes/T2DM in adults were included. Study quality was assessed using the Newcastle-Ottawa Scale. The main analyses of T2DM risk were performed using the ethnic-specific (Asian/non-Asian) BMI classification and additional analyses of prediabetes/T2DM risk by including all eligible studies. Random-effects models with inverse variance weighting were used. Subgroup analyses and meta-regression were conducted to explore the potential effects of pre-specified modifiers. The study protocol was registered with PROSPERO (CRD42020215957). Eighty-four articles involving over 2.69 million participants from 20 countries were included. The pooled RR of prediabetes risk was 1.24 (95% CI: 1.19-1.28, I² = 9.7%, n = 5 studies) for overweight/obesity vs. normal weight. The pooled RRs of T2DM based on the ethnic-specific BMI categories were 0.93 (95% CI: 0.75-1.15, I² = 55.5%, n = 12) for underweight, 2.24 (95% CI: 1.95-2.56, I² = 92.0%, n = 47) for overweight, 4.56 (95% CI: 3.69-5.64, I² = 96%, n = 43) for obesity, and 22.97 (95% CI: 13.58-38.86, I² = 92.1%, n = 6) for severe obesity vs. normal weight. Subgroup analyses indicated that underweight is a protective factor against T2DM in non-Asians (RR = 0.68, 95% CI: 0.40-0.99, I² = 56.1%, n = 6). The magnitude of the RR of T2DM in overweight/obesity decreased with age and varied by region and the assessment methods for weight and T2DM. Overweight/obesity was associated with an increased prediabetes/T2DM risk. Further studies are required to confirm the association between underweight and prediabetes/T2DM, particularly in Asian populations.

Correlation of Body Mass Index with Oncologic Outcomes in Colorectal Cancer Patients: A Large Population-Based Study

It has been acknowledged that excess body weight increases the risk of colorectal cancer (CRC); however, there is little evidence on the impact of body mass index (BMI) on CRC patients' long-term oncologic results in Asian populations. We studied the influence of BMI on overall survival (OS), disease-free survival (DFS), and CRC-specific survival rates in CRC patients from the administrative claims datasets of Taiwan using the Kaplan-Meier survival curves and the log-rank test to estimate the statistical differences among BMI groups. Underweight patients (<18.50 kg/m²) presented higher mortality (56.40%) and recurrence (5.34%) rates. Besides this, they had worse OS (aHR:1.61; 95% CI: 1.53-1.70; p-value: < 0.0001) and CRC-specific survival (aHR:1.52; 95% CI: 1.43-1.62; p-value: < 0.0001) rates compared with those of normal weight patients (18.50-24.99 kg/m²). On the contrary, CRC patients belonging to the overweight (25.00-29.99 kg/m²), class I obesity (30.00-34.99 kg/m²), and class II obesity (≥35.00 kg/m²) categories had better OS, DFS, and CRC-specific survival rates in the analysis than the patients in the normal weight category. Overweight patients consistently had the lowest mortality rate after a CRC diagnosis. The associations with being underweight may reflect a reverse causation. CRC patients should maintain a long-term healthy body weight.

Comparison of prevalence of diabetes complications in Brazilian and Mexican adults: a cross-sectional study

BACKGROUND

Type 2 diabetes is more frequent in Latin American people than in non-Hispanic whites due to a combination of genetic and lifestyle risk factors. Brazil and Mexico are the most populous countries in Latin America. The present study aimed to compare the results of the National Health Survey "PNS" in Brazil and the National Survey Health and Nutrition "ENSANUT" in Mexico regarding the prevalence, complications and healthcare issues of diabetes in both countries.

METHODS

A cross-sectional study was conducted with data from the National Health Survey (PNS) of 2013 in Brazil and the National Survey of Health and Nutrition (ENSANUT) of 2018 in Mexico. The prevalence of diabetes, complications and risk factors related to developing diabetes were considered.

RESULTS

The respondents included 3636 individuals in Brazil and 4555 individuals in Mexico. There were significant differences in age and time living with diabetes between the two countries. Mexican people had twice as likely as Brazilian people to have a complication (p < 0.0001). The principal risk factor (OR 2.47; p ≤ 0.0001) for developing any diabetic complication was living with diabetes for more than 15 years. Visual impairment was the most frequent complication in both countries, but it was more prevalent in Mexico (p ≤ 0.001).

CONCLUSIONS

Diabetes complications are important health problems in Brazil and Mexico. Visual impairment was the principal complication in both countries. Several factors, such as access to and type of health system, living in a rural area, treatment, BMI and performing preventive actions, affected the risk of developing a complication. However, living with diabetes for more than 15 years was the principal risk factor. National health surveys have added significant information on the impact of diabetes in these Latin American populations. This comparison of data could provide valuable information to guide national policies and program decisions in both countries.

Demographic, Socio-economic and Lifestyle Determinants of Under- and Over-nutrition among Bangladeshi Adult Population: Results from a Large Cross-Sectional Study

Bangladesh is currently going through a nutritional transition with rapid increase in overnutrition while undernutrition is still remaining prevalent. Nevertheless, population-based data on demographic, socio-economic and lifestyle factors associated with underweight and overweight among adult population is scarce. Employing a nationwide cross-sectional survey, we collected anthropometric, demographic, socio-economic, lifestyle and dietary information from 12,180 adults aged ≥35 years. Body Mass Index (BMI) was calculated using standard formula and categorized into underweight (<18.50), normal weight (18.50–22.99), and overweight (≥23.00). Multivariable multinomial logistic regression was performed to identify factors associated with underweight and overweight. Overall, prevalence of underweight and overweight was 18.1% (95% CI: 17.5–18.8) and 33.7% (95% CI: 32.9–34.6), respectively. All the demographic, socio-economic, dietary and lifestyle factors showed significant association with nutritional status in bivariate analysis. In adjusted analysis, factors showing significant positive association with underweight included female gender (ARRR-1.38, 95% CI: 1.11–1.71), older age [compared to 35–39 years age group, ARRR (95% CI) for ≥ 70 years is 2.32 (1.89–2.86), for 60–69 years is 1.62 (1.36–1.93), for 50–59 years 1.34 (1.13–1.58) and for 40–49 years 1.05 (0.87–1.15)] and smoking habit (ARRR-1.32, 95% CI: 1.14–1.52) while factors showing significant inverse association with underweight included higher household wealth [compared to lowest wealth quintile, ARRR (95% CI) for highest quintile is 0.68 (0.55–0.84), for second highest quintile 0.77 (0.65–0.91), for middle quintile 0.81 (0.69–0.94) and for second lowest quintile 0.89 (0.77–1.03)], urban residence (ARRR-0.66, 95% CI: 0.66–0.90), and more frequent meat/fish and fruits consumption (ARRR-0.76, 95% CI: 0.65–0.90). On the other hand, factors significantly associated with increased risk of overweight included female gender (ARRR-1.35, 95% CI: 1.12–1.63), higher household wealth [compared to lowest wealth quintile, ARRR (95% CI) for highest quintile is 2.27 (1.93–2.68), for second highest quintile 1.67 (1.44–1.94), for middle quintile 1.26 (1.10–1.46) and for second lowest quintile 1.07 (0.93–1.24), excess food availability [compared to food shortage, ARRR (95% CI) for excess food in the household is 1.29 (1.12–1.47) and for no shortage/no excess is 1.23 (1.09–1.38) and more frequent fruits consumption [compared to no fruits, ARRR (95% CI) for 5–7 days per week consumption is 1.61 (1.41–1.83) and for 3–4 days per week is 1.28 (1.16–1.41) and factors significantly associated with decreased risk of overweight included older age [compared to 35–39 years age group, ARRR (95% CI) for ≥ 70 years is 0.77 (0.64–0.93), for 60–69 years is 0.82 (0.71–0.94), for 50–59 years 0.91 (0.80–1.04) and for 40–49 years 1.01 (0.89–1.15)] and smoking (ARRR-0.76, 95% CI: 0.68–0.86). Both underweight and overweight are prevalent in Bangladeshi adult population. Several demographic, socio-economic, dietary and lifestyle factors are associated with underweight and overweight in Bangladesh. Population level impact of these factors should be examined to design suitable public health and nutrition interventions to address this dual challenge.

Effects of the Relative Distribution of Body Mass Index on the Incidence of Hypertension and Diabetes Mellitus, Using the Korean Obesity Index

BACKGROUND

The Korean Obesity Index, which contains standard reference data (SRD) of obesity, was established in 2016 and revised in 2017 based on national health screening data to provide the distribution of the body mass index (BMI) of the whole population of Korea as a reference. This study aimed to investigate the effect of the SRD of obesity on the incidence of hypertension (HTN) and diabetes mellitus (DM).

METHODS

The percentile of BMI was calculated for each of the 864 subgroups by defined by gender, region, and age group according to the groupings in the SRD. Incident cases were defined as the presence of HTN and DM and medication prescription in the health care utilization database for a given individual in 2017, but not in 2015-2016. Logistic regression for the incidence of HTN and DM according to the relative distribution of BMI was performed. Gender, age, insurance type, insurance contribution, smoking, drinking, physical activity, blood pressure, waist circumference, fasting glucose, triglycerides, high-density lipoprotein cholesterol, the Charlson comorbidity index (2012-2014), and diagnosis and medication for HTN and DM (2015-2017) were adjusted in the analysis.

RESULTS

The C-statistics of the fully adjusted model for HTN and DM were 0.799 and 0.852, respectively. The risks of HTN and DM increased by 1.007 and 1.011 times, respectively, for each 1-percentile increase in BMI.

CONCLUSION

The results showed that BMI was associated with the incidence of HTN and DM according to the SRD. The relative distribution of BMI can be used to motivate self-care through providing more detailed information to individuals.

Development and Validation of the Korean Diabetes Risk Score: A 10-Year National Cohort Study

BACKGROUND

A diabetes risk score in Korean adults was developed and validated.

METHODS

This study used the National Health Insurance Service-National Health Screening Cohort (NHIS-HEALS) of 359,349 people without diabetes at baseline to derive an equation for predicting the risk of developing diabetes, using Cox proportional hazards regression models. External validation was conducted using data from the Korean Genome and Epidemiology Study. Calibration and discrimination analyses were performed separately for men and women in the development and validation datasets.

RESULTS

During a median follow-up of 10.8 years, 37,678 cases (event rate=10.4 per 1,000 person-years) of diabetes were identified in the development cohort. The risk score included age, family history of diabetes, alcohol intake (only in men), smoking status, physical activity, use of antihypertensive therapy, use of statin therapy, body mass index, systolic blood pressure, total cholesterol, fasting glucose, and γ glutamyl transferase (only in women). The C-statistics for the models for risk at 10 years were 0.71 (95% confidence interval [CI], 0.70 to 0.73) for the men and 0.76 (95% CI, 0.75 to 0.78) for the women in the development dataset. In the validation dataset, the C-statistics were 0.63 (95% CI, 0.53 to 0.73) for men and 0.66 (95% CI, 0.55 to 0.76) for women.

CONCLUSION

The Korean Diabetes Risk Score may identify people at high risk of developing diabetes and may be an effective tool for delaying or preventing the onset of condition as risk management strategies involving modifiable risk factors can be recommended to those identified as at high risk.

Risk of malnutrition is associated with poor physical function in patients undergoing cardiac rehabilitation following heart failure

AIM

Patients who experience heart failure are prone to malnutrition. The aim of this study was to determine the association between risk of malnutrition and physical function in patients undergoing cardiac rehabilitation following heart failure.

METHODS

A cross-sectional study was performed in consecutive patients hospitalised for cardiac rehabilitation following heart failure. Risk of malnutrition was evaluated using the Mini Nutritional Assessment-Short Form (MNA-SF). Physical function was evaluated using the Barthel index (BI). Univariate and multivariate analyses were used to determine whether nutritional status was associated with BI in these patients.

RESULTS

The present study included 105 patients (mean age of 77.3 years, 56 men and 49 women) for analysis. The median (interquartile range) scores of the MNA-SF and BI were 11 (9-13) and 75 (45-90), respectively. Patients with high risk of malnutrition (MNA-SF score < 7) were significantly older, had a lower body mass index, exhibited lower muscle mass and strength, could walk shorter distances, and had lower BI scores (all P < 0.05). On multivariate analysis, the MNA-SF score was independently associated with BI (β = 0.409, P < 0.001) after adjusting for age, sex, muscle mass and strength, brain natriuretic peptide levels, ejection fraction of the left ventricle, and reason for admission.

CONCLUSIONS

Risk of malnutrition is associated with physical function in patients undergoing cardiac rehabilitation following heart failure. Early detection of malnutrition and commencement of nutritional support may improve functional recovery in these patients.

Physical Fitness Tests and Type 2 Diabetes Among Japanese: A Longitudinal Study From the Niigata Wellness Study

BACKGROUND

Simple physical fitness test can be a useful potential predictor of type 2 diabetes (T2DM). We examined the association between performances on simple physical fitness tests and the incidence of T2DM.

METHODS

This longitudinal study was conducted in 21,802 nondiabetic Japanese (6,649 women) aged 20 to 92 years, who underwent all physical fitness tests at baseline (April 2001 to March 2002). From April 2001 to March 2008, physical fitness tests, including grip strength, vertical jump, single-leg balance with eyes closed, forward bending, whole-body reaction time, and supine legs-up, were performed every year. Participants had physical fitness tests at least two times during the period. T2DM was also annually determined based on fasting blood glucose, glycated hemoglobin, and self-reported diabetes during the period. Discrete-time logit models were used to examine the influence of the serial level of each physical fitness test on the incidence of T2DM.

RESULTS

During the entire study period, 972 participants developed diabetes. Lower relative grip strength (grip strength/body weight) and single-leg balance performance were associated with a higher incidence of T2DM. For relative grip strength, as compared with the fourth quartile group, the odds ratios for other groups ranged from 1.16 to 1.56 (P for trend < 0.001). For single-leg balance, the odds ratios ranged from 1.03 to 1.49 (P for trend < 0.001).

CONCLUSION

The performance of a simple single-leg balance test as well as that of a grip strength test were negatively associated with the risk of T2DM among Japanese.

The risk of type 2 diabetes mellitus according to the categories of body mass index: the Korean Genome and Epidemiology Study (KoGES)

AIMS

Obesity is an established risk factor for type 2 diabetes mellitus (T2DM). However, there is limited information on the pattern of relationship between the risk for T2DM and body mass index (BMI) categories including underweight and overweight. Thus, this study was to evaluate the risk of T2DM according to BMI categories defined by Asian-specific cutoff of BMI.

METHODS

7660 non-diabetic Koreans were grouped into five BMI categories (underweight, normal, overweight, obese and severe obese) defined by Asian-specific cutoff of BMI and followed up for 10 years to monitor the development of T2DM. With a reference of normal BMI group, Cox proportional hazards assumption was used to calculate hazard ratios (HRs) and their 95% confidence intervals for T2DM in five groups. Subgroup analysis was conducted by gender and age (40-59 years and 60-69 years).

RESULTS

Baseline mean value of metabolic factors like fasting glucose, HOMA-IR, total cholesterol and the proportion of impaired fasting glucose increased proportionally to the level of BMI categories. Underweight group had the higher proportion of impaired glucose tolerance than normal and overweight group. In all subgroups, underweight, overweight, obese and severe obese group had the higher HRs for T2DM than normal group, but statistical significance was only found in overweight, obese and severe obese group.

CONCLUSIONS

The risk of T2DM tends to increase proportionally to the level of BMI categories from overweight to severe obese group. Further studies should be considered to identify the incidental relationship between underweight and T2DM.

Testosterone Deficiency, Weakness, and Multimorbidity in Men

The purposes of this study were to evaluate the association between total testosterone (TT) deficiency and weakness on multimorbidity in men. Analyses were performed to examine the prevalence of multimobidity among young, middle-aged, and older men, with and without testosterone deficiency. Multivariate logistic models were also used to determine the association between age-specific TT tertiles and multimorbidity, adjusting for key sociodemographic variables, as well as a secondary analysis adjusted for grip strength. Multimorbidity was more prevalent among men with testosterone deficiency, compared to normal TT in the entire group (36.6% vs 55.2%; p < 0.001); however, differences were only seen within young (testosterone deficiency: 36.4%; normal TT: 13.5%; p < 0.001) and older men (testosterone deficiency: 75.0%; normal TT: 61.5%; p < 0.001). Robust associations were found between the age-specific low-TT (OR: 2.87; 95%CI: 2.14–3.83) and moderate-TT (OR: 1.67; 95%CI: 1.27–2.20) tertiles (reference high-TT) and multimorbidity. Secondary analysis demonstrated that both low TT (OR: 1.82; 95%CI: 1.29–2.55) and moderate-TT (OR: 1.31; 95%CI: 1.01–1.69) were associated with multimorbidity, even after adjusting for obesity (OR: 1.75; 95%CI: 1.07–2.87) and NGS (OR: 1.21 per 0.05 unit lower NGS). Low TT and weakness in men were independently associated with multimorbidity at all ages; however, multimorbidity was more prevalent among young and older men with testosterone deficiency.

Wealth gradient-based divergence in the prevalence of underweight among women by marital status in Quoc Oai district, Vietnam

Background: The prevalence of underweight is high among women in Asian countries, despite nutritional changes in the region. Previous studies have demonstrated independent associations between female body weight, marital status and economic status. However, few studies have investigated possible interaction between marital and economic status in relation to Asian women’s body weight.

Objective: This study aimed to test associations between household wealth, marital status and underweight among women living in the Quoc Oai district of Vietnam and to identify wealth–marital status interaction in relation to body weight in these women.

Methods: Data from 1087 women aged 19–60 years were collected via a baseline community survey conducted in the Quoc Oai district of Hanoi, Vietnam, in 2016. Underweight was defined using an Asian-specific body mass index cut-off (<18.5 kg/m²). Marital status was dichotomized into ‘never married’ and ‘ever married.’ Economic status was measured using household wealth index quintiles. Multivariable logistic regressions tested association between wealth and underweight after adjusting for marital status and other confounders. An interaction term (wealth index*marital status) was fitted to determine whether the association between wealth and body weight is modified by marital status.

Results: Our results show that underweight was independently associated with a wealth status (odds ratio [OR]: 0.88, 95% confidence interval [CI]: 0.79–0.98, p = 0.026) and ever-married status (OR: 0.50, 95% CI: 0.34–0.75, p = 0.002). A significant interaction effect (OR: 0.67, 95% CI: 0.50–0.90, p = 0.010) indicated that wealthy married women were less likely to be underweight, whereas wealthy never-married women were more likely to be underweight.

Conclusions: Our results suggest that the interaction between wealth and marital status has divergent effects on underweight among Asian women. Interventions to reduce underweight among Asian women should simultaneously consider economic and marital status.

Characteristics of Glucose Metabolism in Underweight Japanese Women

Context

Japanese women have substantially lower body mass index (BMI) than women in other developed countries. The BMI of Japanese women has steadily decreased over time. However, glucose metabolism in underweight Japanese women has not been fully characterized.

Objective

The aim of this study was to investigate glucose metabolism and the physical characteristics of underweight Japanese women.

Design and Participants

We recruited 31 young (20 to 29 years of age) and 30 postmenopausal (50 to 65 years of age) underweight women. We also recruited young normal-weight women (n = 13) and postmenopausal normal-weight women (n = 10) to serve as references. We administered an oral glucose tolerance test (OGTT) and evaluated intramyocellular lipid (IMCL) levels and body composition using ¹H-magnetic resonance spectroscopy and dual-energy X-ray absorptiometry, respectively.

Results

Young underweight women had similar glucose tolerance as young normal-weight women. However, postmenopausal underweight women had a higher area under the curve (AUC) for glucose during OGTT than postmenopausal normal-weight women. In postmenopausal underweight women, 2-hour glucose levels during OGTT were negatively correlated with lean body mass (r = −0.55, P < 0.01) and insulinogenic index (r = −0.42, P = 0.02) and were positively correlated with IMCL levels (r = 0.40, P = 0.03). Compared with young underweight women, postmenopausal underweight women had a higher AUC for glucose during OGTT and a lower insulinogenic index and AUC for insulin during OGTT.

Conclusions

Postmenopausal underweight women had more impaired glucose tolerance than young underweight women. In postmenopausal underweight women, the degree of glucose tolerance impairment was associated with decreased lean body mass, increased IMCL accumulation, and impaired insulin secretion.

Underweight: another risk factor for cardiovascular disease?: A cross-sectional 2013 Behavioral Risk Factor Surveillance System (BRFSS) study of 491,773 individuals in the USA

Obesity is a well-established risk factor for cardiovascular disease (CVD), but the underweight population of body mass index (BMI) below 18.5 kg/m has not been an object of concern. The objective of this study is to investigate whether underweight could be an independent risk factor for CVD in a population-based cross-sectional study.Cross-sectional data of 2013 Behavioral Risk Factor Surveillance System (BRFSS) database encompassing 491,773 US adult subjects were used to assess risk for CVD. Primary outcomes were the incidence and relative risks (RRs) of CVD including stroke, heart attack/myocardial infarction, or coronary artery disease according to BMI category. All analyses used weighted sampling probabilities of data source.The underweight population had a 19.7% greater risk of CVD than did the normal-weight, and the overweight and obese population had a 50% and 96% increased risk, respectively. When adjusted with covariates, the relative risk for CVD elevated in underweight population (adjusted RR 1.34 [95% confidence interval (CI) 1.335-1.348]). Conversely, the adjusted relative risk was significantly attenuated in the obese group (adjusted RR 1.149 [95% CI 1.147-1.151]) and it was even insignificant in the overweight group (adjusted RR 1.00 [95% CI 1.000-1.003]). In subanalysis for each CVD category, being underweight among BMI status was the strongest independent risk factor for stroke (adjusted RR 1.441 [95% CI 1.431-1.450]), heart attack/ myocardial infarction (MI) (adjusted RR 1.23 [95% CI 1.217-1.233]), and angina/coronary artery disease (adjusted RR 1.20 [95% CI 1.189-1.206]). Especially among the population below 40-year old, relative risk estimates remained increased in the underweight population; persons who were underweight had a 2.3-fold greater adjusted relative risk of CVD as compared with those with normal weight when we stratified with age.Underweight below BMI 18.5 kg/m may be another risk factor for CVD, and CVD risk of the overweight and obese population largely depended on other comorbidities accompanied by obesity.

Low Normalized Grip Strength is a Biomarker for Cardiometabolic Disease and Physical Disabilities Among U.S. and Chinese Adults

BACKGROUND

Evidence highlights the importance of muscular strength as a protective factor for health and function across aging populations. The purpose of this study was to examine the extent to which low normalized grip strength (NGS) serves as a biomarker for both cardiometabolic disease and physical disability in U.S. and Chinese adults.

METHODS

Middle aged and older adults from the U.S. National Health and Nutrition Examination Survey 2011-2012 and 2013-2014 combined surveys (n = 4,544), and the 2011 wave of the China Health and Retirement Longitudinal Study (n = 6,030) were included. Strength was assessed using a handgrip dynamometer, and was normalized to body mass. Weighted logistic regression models were used to assess the association between NGS and diabetes, hyperglycemia, hypertriglyceridemia, low HDL-cholesterol, hypertension, and physical disability status, while controlling for age, sex, and sociodemographic characteristics.

RESULTS

Every 0.05 lower NGS was independently associated with a 1.49 (95% confidence interval [CI]: 1.42-1.56) and 1.17 (95% CI: 1.11-1.23) odds for diabetes; a 1.46 (95% CI: 1.39-1.53) and 1.11 (95% CI: 1.07-1.15) odds of hyperglycemia; a 1.15 (95% CI: 1.07-1.25) and 1.11 (95% CI: 1.08-1.14) odds of hypertriglyceridemia; a 1.22 (95% CI: 1.17-1.27) and 1.15 (95% CI: 1.12-1.18) odds of low HDL-cholesterol; a 1.19 (95% CI: 1.14-1.24) and 1.10 (95% CI: 1.07-1.14) odds of hypertension; and a 1.36 (95% CI: 1.29-1.42) and 1.10 (95% CI: 1.05-1.15) odds for physical disability status in U.S. and Chinese adults, respectively.

CONCLUSIONS

NGS was robustly associated with both cardiometabolic disease risk and physical disabilities in U.S. and Chinese aging adults.

Double burden of underweight and overweight among Bangladeshi adults differs between men and women: evidence from a nationally representative survey

Objective

To estimate the prevalence of underweight and overweight among Bangladeshi adults and to determine if the double burden of underweight and overweight differs by gender and other socio-economic characteristics of individuals.

Design

We used data from the Bangladesh Demographic and Health Survey 2011. Multinominal logistic regression was used to examine associations between the different nutritional statuses of individuals and related determinants. Interaction effect was checked between gender and various socio-economic factors.

Setting

Nationwide, covering the whole of Bangladesh.

Subjects

Individuals aged >18 years (women, n 16 052; men, n 5090).

Results

Underweight was observed among 28·3 % of men and 24·4 % of women, whereas overweight was observed among 8·4 % of men and 16·9 % of women. The odds of being overweight were significantly lower among urban men (OR=0·46; 95 % CI 0·37, 0·57) compared with urban women, whereas the odds of being underweight were significantly higher among urban men (OR=1·33; 95 % CI 1·07, 1·64) compared with urban women. The odds of being overweight were lower among higher educated men (OR=0·48; 95 % CI 0·39, 0·58) and men of rich households (OR=0·45; 95 % CI 0·37, 0·54) compared with higher educated women and women of rich households, respectively.

Conclusions

There are important gender differences in the prevalence of underweight and overweight among the adult population in Bangladesh. Women with higher education, in rich and urban households have higher chances of being overweight and lower chances of being underweight compared with their male counterparts.

Muscle Weakness Thresholds for Prediction of Diabetes in Adults

BACKGROUND

Despite the known links between weakness and early mortality, what remains to be fully understood is the extent to which strength preservation is associated with protection from cardiometabolic diseases, such as diabetes.

PURPOSE

The purposes of this study were to determine the association between muscle strength and diabetes among adults, and to identify age- and sex-specific thresholds of low strength for detection of risk.

METHODS

A population-representative sample of 4066 individuals, aged 20-85 years, was included from the combined 2011-2012 National Health and Nutrition Examination Survey (NHANES) data sets. Strength was assessed using a handheld dynamometer, and the single highest reading from either hand was normalized to body mass. A logistic regression model was used to assess the association between normalized grip strength and risk of diabetes, as determined by haemoglobin A1c levels ≥6.5 % (≥48 mmol/mol), while controlling for sociodemographic characteristics, anthropometric measures and television viewing time.

RESULTS

For every 0.05 decrement in normalized strength, there were 1.26 times increased adjusted odds for diabetes in men and women. Women were at lower odds of having diabetes (odds ratio 0.49; 95 % confidence interval 0.29-0.82). Age, waist circumference and lower income were also associated with diabetes. The optimal sex- and age-specific weakness thresholds to detect diabetes were 0.56, 0.50 and 0.45 for men at ages of 20-39, 40-59 and 60-80 years, respectively, and 0.42, 0.38 and 0.33 for women at ages of 20-39, 40-59 and 60-80 years, respectively.

CONCLUSIONS AND CLINICAL RELEVANCE

We present thresholds of strength that can be incorporated into a clinical setting for identifying adults who are at risk of developing diabetes and might benefit from lifestyle interventions to reduce risk.

Overweight and obesity epidemic in Ghana-a systematic review and meta-analysis

Background

In many low and middle income countries (LMICs), the distribution of adulthood nutritional imbalance is shifting from a predominance of undernutrition to overnutrition. This complex problem poses a huge challenge to governments, non-state actors, and individuals desirous of addressing the problem of malnutrition in LMICs. The objective of this study was to systematically review the literature towards providing an estimate of the prevalence of overweight and obesity among adult Ghanaians.

Methods

This study followed the recommendations outlined in the PRISMA statement. Searches were performed in PubMed, Science Direct, google scholar, Africa Journals Online (AJOL) and the WHO African Index Medicus database. This retrieved studies (published up to 31st March 2016) that reported overweight and obesity prevalence among Ghanaians. All online searches were supplemented by reference screening of retrieved papers to identify additional studies.

Results

Forty-three (43) studies involving a total population of 48,966 sampled across all the ten (10) regions of Ghana were selected for the review. Our analysis indicates that nearly 43% of Ghanaian adults are either overweight or obese. The national prevalence of overweight and obesity were estimated as 25.4% (95% CI 22.2–28.7%) and 17.1% (95% CI = 14.7–19.5%), respectively. Higher prevalence of overweight (27.2% vs 16.7%) and obesity (20.6% vs 8.0%) were estimated for urban than rural dwellers. Prevalence of overweight (27.8% vs 21.8%) and obesity (21.9% vs 6.0%) were also significantly higher in women than men. About 45.6% of adult diabetes patients in Ghana are either overweight or obese. At the regional level, about 43.4%, 36.9%, 32.4% and 55.2% of residents in Ashanti, Central, Northern and Greater Accra region, respectively are overweight or obese. These patterns generally mimic the levels of urbanization. Per studies’ publication years, consistent increases in overweight and obesity prevalence were observed in Ghana in the period 1998–2016.

Conclusions

There is a high and rising prevalence of overweight and obesity among Ghanaian adults. The possible implications on current and future population health, burden of chronic diseases, health care spending and broader economy could be enormous for a country still battling many infectious and parasitic diseases. Public health preventive measures that are appropriate for the Ghanaian context, culturally sensitive, cost-effective and sustainable are urgently needed to tackle this epidemic.

Electronic supplementary material

The online version of this article (doi:10.1186/s12889-016-3901-4) contains supplementary material, which is available to authorized users.

BMI Trajectories as a Harbinger of Pre-Diabetes or Underdiagnosed Diabetes: an 18-Year Retrospective Cohort Study in Taiwan

BACKGROUND

Although prior studies have examined BMI trajectories in Western populations, little is known regarding how BMI trajectories in Asian populations vary between adults with and without diabetes.

OBJECTIVE

To examine how BMI trajectories vary between those developing and not developing diabetes over 18 years in an Asian cohort.

DESIGN

Multilevel modeling was used to depict levels and rates of change in BMI for up to 18 years for participants with and without self-reported physician-diagnosed diabetes.

PARTICIPANTS

We used 14,490 data points available from repeated measurements of 3776 participants aged 50+ at baseline without diabetes from a nationally representative survey of the Taiwan Longitudinal Study on Aging (TLSA1989-2007).

MAIN MEASURES

We defined development of diabetes as participants who first reported diabetes diagnoses in 2007 but had no diabetes diagnoses at baseline. We defined the reference group as those participants who reported the absence of diabetes at baseline and during the entire follow-up period.

KEY RESULTS

When adjusted for time-varying comorbidities and behavioral factors, higher level and constant increases in BMI were present more than 6.5 years before self-reported diabetes diagnosis. The higher BMI level associating with the development of diabetes was especially evident in females. Within 6.5 years prior to self-reported diagnosis, however, a wider range of decreases in BMI occurred (βdiabetes = 1.294, P = 0.0064; βdiabetes*time = 0.150, P = 0.0327; βdiabetes*time (2) = -0.008, P = 0.0065). The faster rate of increases in BMI followed by a greater decline was especially prominent in males and individuals with BMI ≧24.

CONCLUSIONS

An unintentional decrease in BMI in sharp contrast to the gradually rising BMI preceding that time may be an alarm for undiagnosed diabetes or a precursor to developing diabetes.

Muscle Weakness Is Associated With Diabetes in Older Mexicans: The Mexican Health and Aging Study

BACKGROUND

The risk of cardiovascular problems due to diabetes mellitus is highest among older Mexicans, and yet what remains to be determined is the association between muscle weakness and diabetes in this population. Therefore, the purpose of this study was to determine the association between muscle strength and diabetes among Mexican adults greater than 50 years of age.

DESIGN

Cross-sectional.

SETTING

National sample of households in both urban and rural areas.

PARTICIPANTS

A subsample of 1841 individuals aged 50 years and older was included from the 2012 Mexican Health and Aging Study.

MEASUREMENTS

Strength was assessed using a hand-held dynamometer, and the single largest reading from either hand was normalized to body mass (normalized grip strength [NGS]). Conditional inference tree analyses were used to identify sex-specific NGS weakness thresholds. Linear regression was used to examine the association between NGS and HbA1c, and logistic regression was used to assess the association between weakness and risk of diabetes (HbA1c ≥ 6.5% [≥48 mmol/mol]), after controlling for age, sex, and waist circumference.

RESULTS

NGS was inversely associated with HbA1c (β = -1.56; P < .001). Optimal sex-specific NGS weakness thresholds to detect diabetes were ≤0.46 and ≤0.30 for men and women, respectively. Weakness was associated with significantly increased odds of diabetes (odds ratio, 1.69; 95% confidence interval, 1.37-2.10), even after adjusting for age, sex, and waist circumference.

CONCLUSIONS

NGS was robustly associated with diabetes and other cardiometabolic risk factors in older Mexicans. This simple screen may serve as a valuable tool to identify adults that are at risk for negative health consequences or early mortality and who might benefit from lifestyle interventions to reduce risk.

Type 2 diabetes: A 21st century epidemic

Around 415 million people around the world have diabetes (9% of adults), and the vast majority live in low- and middle-income countries. Over the next decade, this number is predicted to increase to 642 million people. Given that diabetes is a major cause of mortality, morbidity, and health care expenditures, addressing this chronic disease represents one of the greatest global health challenges of our time. The objectives of this article are three-fold: (1) to present data on the global burden of type 2 diabetes (which makes up 87-91% of the total diabetes burden), both in terms of prevalence and incidence; (2) to give an overview of the risk factors for type 2 diabetes, and to describe obesity and the developmental origins of disease risk in detail; and (3) to discuss the implications of the global burden and point out important research gaps.

Tuberculosis and diabetes: current state and future perspectives

This review outlines the association between tuberculosis and diabetes, focusing on epidemiology, physiopathology, clinical aspects, diagnosis and treatment, and evaluates future perspectives, with particular attention to developing countries.

Population-based survey of overweight and obesity and the associated factors in peri-urban and rural Eastern Uganda

Background

In sub-Saharan Africa (SSA), the rising prevalence of overweight, obesity and non-communicable diseases co-exists with the high burden of under-nutrition. The paucity of data on adulthood overweight and obesity, disaggregated by socio-demographic characteristics and in rural settings in SSA calls for research. We determined the prevalence of underweight, overweight/obesity and associated factors among adults in peri-urban and rural Uganda.

Methods

A cross-sectional study of 1210 randomly selected adults aged ≥ 18 years was conducted in Iganga-Mayuge Health and Demographic Surveillance Site in eastern Uganda in 2013. Height, weight and socio-demographic variables were assessed. Overweight was defined as BMI = 25.0-29.99 kg/m², obesity ≥ 30 kg/m² and overweight/obesity ≥ 25 kg/m². Logistic regression was used to identify factors associated with overweight/obesity.

Results

Of the participants, 7 % were underweight (8.1 % of men; 5.9 % of women, p = 0.99); 17.8 % were overweight (12.4 % of men; 23.1 % of women, p < 0.001); and 7 % were obese (2.0 % of men; 12.7 % of women, p < 0.001). Overweight prevalence was 15.8 % and 23.8 % among rural and peri-urban adults, respectively (p < 0.001). Obesity prevalence was 3.9 % and 17.8 % among rural and peri-urban adults, respectively (p < 0.001). Factors associated with overweight/obesity were: being female, adjusted odds ratio (AOR) 4.3 (95 % confidence interval (PloS one 8:e75640, 20013) 3.2–5.9); peri-urban residence AOR 2.6 (1.9–3.6); being in age group 35–44, AOR 3.1 (1.8–5.3); 45–54 AOR 4.1 (2.3–7.3); 55–64 AOR 2.6 (1.4–5.0); ≥ 65 years AOR 3.1 (1.6–6.0); and having socio-economic status (SES) in the third AOR 2.8 (1.7–4.6), fourth 2.5 (1.5–4.2) and fifth 2.7 (1.6–4.4) quintile.

Conclusions

Overweight/obesity was prevalent among adults. Overweight/obese was associated with being female, being aged 35 years and older, residing in a peri-urban area and having a higher SES. The time has come to develop interventions to prevent and control overweight/obesity.

Electronic supplementary material

The online version of this article (doi:10.1186/s12889-015-2506-7) contains supplementary material, which is available to authorized users.

Determinants of Poor Self-rated Health in Korean Adults With Diabetes

Objectives:

Self-rated health is a measure of perceived health widely used in epidemiological studies. Our study investigated the determinants of poor self-rated health in middle-aged Korean adults with diabetes.

Methods:

A cross-sectional study was conducted based on the Health Examinees Study. A total of 9759 adults aged 40 to 69 years who reported having physician-diagnosed diabetes were analyzed with regard to a range of health determinants, including sociodemographic, lifestyle, psychosocial, and physical variables, in association with self-rated health status using multivariate logistic regression models. A p-value <0.05 was considered to indicate statistical significance.

Results:

We found that negative psychosocial conditions, including frequent stress events and severe distress according to the psychosocial well-being index, were most strongly associated with poor self-rated health (odds ratio [OR]_{Frequent stress events}, 5.40; 95% confidence interval [CI], 4.63 to 6.29; OR_{Severe distress}, 11.08; 95% CI, 8.77 to 14.00). Moreover, younger age and being underweight or obese were shown to be associated with poor self-rated health. Physical factors relating to participants’ medical history of diabetes, such as a younger age at diagnosis, a longer duration of diabetes, insulin therapy, hemoglobin A_1clevels of 6.5% or more, and comorbidities, were other correlates of poor reported health.

Conclusions:

Our findings suggest that, in addition to medical variables, unfavorable socioeconomic factors, and adverse lifestyle behaviors, younger age, being underweight or obese, and psychosocial stress could be distinc factors in predicting negative perceived health status in Korean adults with diabetes.

Association between body mass index and prognosis of colorectal cancer: a meta-analysis of prospective cohort studies

Studies have reported conflicting results on the association between body mass index (BMI) and prognosis of colorectal cancer. Therefore, we have conducted a meta-analysis of prospective studies, which examined the association of pre- and post-diagnostic BMI with colorectal cancer-specific mortality and all-cause mortality in patients with colorectal cancer. We searched Medline and EMBASE database published between 1970 and September 2014. A total of 508 articles were identified, of which 16 prospective cohort studies were included for the current meta-analysis. The analysis included 58,917 patients who were followed up over a period ranging from 4.9 to 20 years (median: 9.9 years). We found that being underweight before cancer diagnosis was associated with increased all-cause mortality (Relative risk [RR]: 1.63, 95% CI: 1.18-2.23, p < 0.01) and being obese (BMI ≥ 30 kg/m(2)) before cancer diagnosis was associated with increased colorectal cancer-specific mortality (RR: 1.22, 95% CI: 1.003-1.35, p < 0.01) and all-cause mortality (RR: 1.25, 95% CI: 1.14-1.36, p < 0.01). On the other hand, being underweight (RR: 1.33, 95% CI: 1.20-1.47, p < 0.01), obese (RR: 1.08, 95% CI: 1.03-1.3, p < 0.01), and class II/III obese (BMI ≥ 35 kg/m(2); RR: 1.13, 95% CI: 1.04-1.23, p < 0.01) after diagnosis were associated with significantly increased all-cause mortality. Being obese prior to diagnosis of colorectal cancer was associated with increased colorectal cancer-specific mortality and all-cause mortality, whereas being obese after diagnosis was associated with increased all-cause mortality. The associations with being underweight may reflect reverse causation. Maintaining a healthy body weight should be discussed with colorectal cancer survivors.

Association of body mass index with cardiovascular disease biomarkers

BACKGROUND

Few studies have examined the underweight-morbidity relationship, and those that have were conducted in non-U.S. populations and limited in their evaluation of cardiovascular disease (CVD) risk factors.

PURPOSE

To examine the associations among underweight (along with overweight and obese) and various CVD risk factors in a national sample of U.S. adults (aged ≥20 years).

METHODS

Ten years of data (1999-2010) from the National Health and Nutrition Examination Survey were used (analyzed in 2014). Underweight (tertiles); overweight (25-29.9); and obesity (three classes: 30-34.9, 35-39.9, and ≥40) were assessed from measured BMI. The evaluated biological and anthropometric markers included waist circumference; mean arterial pressure; C-reactive protein (CRP); fasting low-density lipoprotein (LDL) cholesterol; total cholesterol; fasting triglycerides; and fasting glucose.

RESULTS

After adjustments, underweight adults had significantly (p<0.005) lower levels of CRP (β=-0.12, Tertile 2); total cholesterol (β=-17.7 and -12.2, Tertiles 1 and 3); total cholesterol to high-density lipoprotein cholesterol ratio (β=-0.39 and -0.46, Tertiles 2 and 3); LDL cholesterol (β=-20.7, Tertile 1); and triglycerides (β=-37.1 and -18.0, Tertiles 1 and 3) compared to normal-weight individuals. The severely underweight and obese were less likely to be physically active than normal-weight adults (p<0.001). Adults in each of the overweight and obese groups had higher levels for each biomarker compared to normal-weight individuals.

CONCLUSIONS

Underweight adults have lower (i.e., more favorable) levels of various CVD biomarkers.

Android Adiposity and Lack of Moderate and Vigorous Physical Activity Are Associated With Insulin Resistance and Diabetes in Aging Adults

BACKGROUND

Physical inactivity and excess adiposity are thought to be interdependent "lifestyle" factors and thus, many older adults are at exaggerated risk for preventable diseases. The purposes of this study were to determine the degree of discordance between body mass index (BMI) and adiposity among adults older than 50 years, and to determine the extent to which direct measures of adiposity, and objectively measured sedentary behavior (SB) and physical activity (PA) are associated with insulin resistance (IR) or diabetes.

METHODS

A population representative sample of 2,816 individuals, aged 50-85 years, was included from the combined 2003-2006 National Health and Nutrition Examination Survey (NHANES) datasets. BMI, percent body fat (%BF) and android adiposity as determined by dual energy x-ray absorptiometry, objectively measured SB and PA, established markers of cardiometabolic risk, IR, and type 2 diabetes were analyzed.

RESULTS

Approximately 50% of the men and 64% of the women who were normal weight according to BMI had excessive %BF. Adults with the least SB and greatest moderate and vigorous PA exhibited the healthiest cardiometabolic profiles, whereas adults with the greatest SB and lowest activity had highest risk. Greater android adiposity stores were robustly associated with IR or diabetes in all adults, independent of SB and activity. Among men, less moderate-to-vigorous PA was associated with IR or diabetes; whereas among women, less lifestyle moderate activity was associated with IR or diabetes.

CONCLUSIONS

Android adiposity and low moderate and vigorous PA are the strongest predictors of IR or diabetes among aging adults.

Effect of body mass index on insulin secretion or sensitivity and diabetes

BACKGROUND

Although the association between obesity and diabetes is well known, the factors predisposing to diabetes in non-obese Asians are less clearly characterized.

PURPOSE

To investigate the effects of impaired insulin secretion (IIS) and insulin resistance (IR) according to BMI on the incidence of diabetes in the Saku Study.

METHODS

This 4-year cohort study involved 3,083 participants aged 30-69 years without diabetes at baseline (2006-2007). Participants were stratified by BMI (<23.0, 23.0-24.9, and ≥25). Based on insulinogenic index and homeostasis model of IR values, participants were classified into four categories: normal; isolated IIS (i-IIS); isolated IR (i-IR); and IIS plus IR. All data were collected in 2006-2011 and analyzed in 2013-2014.

RESULTS

For participants with BMI <23.0, the risk of developing diabetes was higher in the i-IIS (adjusted hazard ratio=6.6; 95% CI=3.7, 11.6) and IIS plus IR groups (9.4; 3.1, 28.4) than in the normal group. For participants with BMI 23.0-24.9, risk was higher in the i-IIS (9.9; 4.4, 22.1); i-IR (3.4; 1.2, 9.5); and IIS plus IR (23.4; 9.3, 58.9) groups. Among participants with BMI ≥25, risk was higher in the i-IIS (16.9; 6.0, 47.7); i-IR (7.9; 2.8, 22.6); and IIS plus IR (26.9; 9.0, 80.8) groups. BMI was negatively associated with incidence of IIS but positively associated with IR incidence.

CONCLUSIONS

Individuals with normal BMI may develop diabetes mainly through IIS, whereas individuals with high BMI may develop diabetes primarily through IR.

Obesity indexes and total mortality among elderly subjects at high cardiovascular risk: the PREDIMED study

BACKGROUND

Different indexes of regional adiposity have been proposed for identifying persons at higher risk of death. Studies specifically assessing these indexes in large cohorts are scarce. It would also be interesting to know whether a dietary intervention may counterbalance the adverse effects of adiposity on mortality.

METHODS

We assessed the association of four different anthropometric indexes (waist-to-height ratio (WHtR), waist circumference (WC), body mass index (BMI) and height) with all-cause mortality in 7447 participants at high cardiovascular risk from the PREDIMED trial. Forty three percent of them were men (55 to 80 years) and 57% were women (60 to 80 years). All of them were initially free of cardiovascular disease. The recruitment took place in 11 recruiting centers between 2003 and 2009.

RESULTS

After adjusting for age, sex, smoking, diabetes, hypertension, intervention group, family history of coronary heart disease, and leisure-time physical activity, WC and WHtR were found to be directly associated with a higher mortality after 4.8 years median follow-up. The multivariable-adjusted HRs for mortality of WHtR (cut-off points: 0.60, 0.65, 0.70) were 1.02 (0.78-1.34), 1.30 (0.97-1.75) and 1.55 (1.06-2.26). When we used WC (cut-off points: 100, 105 and 110 cm), the multivariable adjusted Hazard Ratios (HRs) for mortality were 1.18 (0.88-1.59), 1.02 (0.74-1.41) and 1.57 (1.19-2.08). In all analyses, BMI exhibited weaker associations with mortality than WC or WHtR. The direct association between WHtR and overall mortality was consistent within each of the three intervention arms of the trial.

CONCLUSIONS

Our study adds further support to a stronger association of abdominal obesity than BMI with total mortality among elderly subjects at high risk of cardiovascular disease. We did not find evidence to support that the PREDIMED intervention was able to counterbalance the harmful effects of increased adiposity on total mortality.

TRIAL REGISTRATION

Controlled-Trials.com ISRCTN35739639.

BMI percentile curves for Japanese men and women aged 20-79 years who underwent a health check-up in 1980 and 2005

OBJECTIVE

To establish body mass index (BMI) percentile curves for adults and to compare these in 1980 with those in 2005 among Japanese men and women.

METHODS

Participants included 8080 community residents aged 20-79 years who had a health check-up in 1980 and 5616 community residents aged 20-79 years who had a health check-up in 2005. Sex-specific percentile curves for BMI were constructed using the LMS method. We presented the 3rd, 5th, 15th, 25th, 50th, 75th, 85th, 95th, and 97th percentile curves.

RESULTS

From 1980 to 2005, the BMI percentile values of men increased, especially the 95th and 97th percentile values in men aged 20-39 years. The BMI distribution of young men in 2005 was wider than that in 1980. From 1980 to 2005, the 50th percentile values of women in 2005 were lower than those in 1980. However, the 95th percentile values of women increased among women aged less than 50 years.

CONCLUSION

We were able to confirm the existence of BMI percentile values depending on date, age, and sex by establishing BMI percentile curves.

Quantitative relationship between body weight gain in adulthood and incident type 2 diabetes: a meta-analysis

This meta-analysis quantified the risk of type 2 diabetes mellitus (T2DM) preceded by body weight (BW) gain in the general population. Systematic literature searches retrieved 15 eligible studies. The BW gain was divided into early weight-gain, which was defined as BW gain from early adulthood (18-24 years of age) to cohort entry (≥25 years of age), and late weight-gain, which was defined as BW gain from cohort entry. The pooled relative risk (RR; 95% confidence interval [CI]) of T2DM for an increment of BW gain standardized into a 5-kg m(-2) increment in the body mass index (BMI) was 3.07 (2.49-2.79) for early weight-gain and 2.12 (1.74-2.58) for late weight-gain. When limiting analysis to studies that concurrently examined T2DM risk for current BMI (defined in both groups as BMI at cohort entry), a larger magnitude of T2DM risk was revealed for early weight-gain compared with current BMI (RR [95% CI], 3.38 [2.20-5.18] vs. 2.39 [1.58-3.62]), while there was little difference between late weight-gain (RR [95% CI], 2.21 [1.91-2.56]) and current BMI (RR [95% CI], 2.47 [1.97-3.30]). The meta-analysis suggested that BW gain was a quantifiable predictor of T2DM, as well as current obesity in adults. Particularly, BW gain in early rather than middle-to-late adulthood played an important role in developing T2DM.

Nutrition Considerations for the Growing Population of Older Adults With Diabetes

The growing older adult population and its higher incidence of diabetes are creating demands on health care providers to address the special needs of these patients. Because nutrition is essential to the proper treatment and self-management of diabetes, clinicians must develop and adopt various strategies to address some of the common nutritional, lifestyle, and self-management barriers that older adults face. Nutrition assessments of older adults with diabetes should be comprehensive, with attention to each patient's unique nutritional needs. Constructing a realistic nutrition care plan is essential for success. This article addresses some of the key nutrition-related aspects of diabetes self-care in older adults with diabetes.

BMI change patterns and disability development of middle-aged adults with diabetes: a dual trajectory modeling approach

BACKGROUND

Few longitudinal studies have examined associations between body mass index (BMI) changes in adults with diabetes and the development of disability.

OBJECTIVE

To investigate association patterns between BMI and disability in middle-aged adults with diabetes.

DESIGN AND SETTING

Retrospective cohort design with data from the 1992-2006 Health and Retirement Study (HRS). A group-based joint trajectory method identified distinct BMI change trajectories and their link to subsequent disability trajectories.

PARTICIPANTS

U.S. nationally representative adults aged 51-61 who reported a diagnosis of diabetes in the 1992 HRS (N = 1,064).

MEASUREMENTS

BMI and self-reported disability score were the main variables. Sociodemographic, clinical, behavioral, and diabetes-related factors were also examined.

RESULTS

Four distinct weight trajectories (stable normal weight, 28.7 %; stable overweight, 46.2 %; loss and regain obese, 18.0 %; weight cumulating morbidly obese, 7.1 %) and three disability trajectories (little or low increase, 34.4 %; moderate increase, 45.4 %; chronic high increase, 20.2 %) best characterized the long-term patterns of BMI and disability change in middle-aged adults with diabetes. Adults in stable normal weight had the highest probability of being in the little/low increase disability group; however, one in five adults in that group progressed into chronic high disability, a higher proportion compared to the stable overweight group.

CONCLUSIONS

Although there were various ways in which the two trajectories were linked, the beneficial impacts of optimizing weight in adults with diabetes were supported. In addition, the complexity of diabetes control in those with relatively normal weight was highlighted from this study.

Low BMI at age 20 years predicts gestational diabetes independent of BMI in early pregnancy in Japan: Tanaka Women's Clinic Study

AIMS

Maternal obesity and weight gain since early adulthood are known predictors of gestational diabetes in Western countries. However, their impact has not been evaluated well in Asia, where mean BMI levels are generally lower than in Western countries. We therefore examined the associations of BMI at age 20 years and BMI change since age 20 years with the risk of gestational diabetes in Japanese pregnant women.

METHODS

Six hundred and twenty-four consecutive pregnant women without recognized diabetes before pregnancy, whose initial obstetric clinic visit was before 13 weeks' gestation, were prospectively observed. Weight at age 20 years was self-reported. Baseline height and weight measurements were obtained at the initial obstetric visit. Multivariate logistic regression analysis estimated the risk of incident gestational diabetes for BMI change since 20 years and BMI at age 20 years.

RESULTS

Twenty-eight women developed incident gestational diabetes. By multivariate logistic regression analysis that adjusted for maternal age, parity and baseline BMI, we observed a statistically significant inverse association between BMI at age 20 years and incidence of gestational diabetes (odds ratio 0.68, 95% CI 0.51-0.92). Similarly, when we assessed the association of BMI change since age 20 years, adjusted for maternal age and parity, BMI change was associated with an increased risk of gestational diabetes (odds ratio 1.26, 95% CI 1.03-1.53). When we focused on the threshold of risk of gestational diabetes, women with BMI at 20 years of less than 18 kg/m(2) had a 6.30-fold (2.26-17.59) greater risk than women with both BMI at age 20 years of 18 kg/m(2) or more and BMI change since age 20 years of less than 1.85.

CONCLUSIONS

Both low BMI at age 20 years and BMI change since age 20 years were significantly associated with increased risk of incident gestational diabetes.

Comparisons of the strength of associations with future type 2 diabetes risk among anthropometric obesity indicators, including waist-to-height ratio: a meta-analysis

The aim of this meta-analysis was to compare the association of waist-to-height ratio (WHtR) with risk of incident diabetes with the associations of 3 other conventional obesity indicators (body mass index (BMI), waist circumference (WC), and waist-to-hip ratio (WHR)) with risk of incident diabetes. Literature searches in MEDLINE (January 1950 to April 27, 2011) and EMBASE (January 1974 to April 27, 2011) were conducted for prospective studies that made it possible to estimate the relative risk of diabetes per 1-standard deviation increase in WHtR, in addition to the RR of BMI, WC, or WHR. Strength of the estimated pooled relative risk for a 1-standard deviation increase of each indicator (expressed as RR(WHtR), RR(BMI), RR(WC), and RR(WHR)) was compared with a bivariate random-effects model. Pooled relative risks of the 15 eligible studies with 6,472 diabetes cases were 1.62 (95% CI: 1.48, 1.78) for RR(WHtR), 1.55 (95% CI: 1.43, 1.69) for RR(BMI), 1.63 (95% CI: 1.49, 1.79) for RR(WC), and 1.52 (95% CI: 1.40, 1.66) for RR(WHR). WHtR had an association stronger than that of BMI (P<0.001) or WHR (P<0.001). The present meta-analysis showed that WHtR has a modestly but statistically greater importance than BMI and WHR in prediction of diabetes. Nevertheless, measuring height in addition to WC appeared to have no additional benefit.

Global variability in diabetes mellitus and its association with body weight and primary healthcare support in 49 low- and middle-income developing countries

AIMS

In the absence of any previous global comparison, we examined the variability in prevalence of diabetes mellitus across 49 developing countries, and the associations of diabetes with body weight and primary healthcare support using data from the World Health Survey.

METHODS

Diabetes mellitus was defined by individuals' self-report of a physician diagnosis of diabetes. BMI is the weight (kg)/the square of the height (m). Healthcare support was assessed using clinical treatment status and whether patients with diabetes followed prescribed behaviour changes to control diabetes. Associations of diabetes with BMI and diabetes treatment status were analysed cross-sectionally.

RESULTS

A total of 215898 participants were included in the analysis. Age-adjusted prevalence of diabetes ranged from 0.27% (Mali) to 15.54% (Mauritius). Participants who were underweight (BMI <18.5 kg/m(2) ), overweight (BMI 25-29.9 kg/m(2) ) and obese (BMI ≥ 30 kg/m(2) ) were significantly associated with odds of having diabetes as compared with those who were of normal weight (BMI 18.5-24.9 k/m(2) ), with corresponding values of multivariate adjusted odds ratios (95% CI) of 1.15 (1.07-1.24), 1.56 (1.44-1.68) and 2.35 (2.17-2.61), respectively. The overall untreated rate of those with diabetes mellitus was 9.6% in the total sample. Patients with underweight had the highest diabetes untreated rate, followed by those with normal weight, overweight and obesity.

CONCLUSION

There are significant variations in prevalence of diabetes and primary healthcare support for diabetes across low- and middle-income countries. Aggressively preventing abnormal body weight and improving healthcare support may play a pivotal role in ameliorating the unfavourable epidemic of diabetes in developing countries.

Lifestyle and the risk of diabetes mellitus in a Japanese population

The objective was to examine the association between lifestyle and risk for diabetes. For an average of 9.9 years, this study prospectively followed a cohort of 7,211 (2,524 men and 4,687 women) community residents aged 30-69 years without diabetes at a health check-up conducted between April 1990 and March 1992 until diabetes was confirmed or until the end of 2006. The subjects were divided into 6 groups according to their total scores of Breslow's lifestyle index (1-2, 3, 4, 5, 6 and 7 points). The association between lifestyle and diabetes incidence was investigated using Cox proportional hazards regression models. The results showed that the multivariate-adjusted hazard ratios were 0.45 in subjects who scored 5 points, 0.39 in subjects who scored 6 points, and 0.31 in subjects who scored 7 points, compared with subjects who scored 1-2 points. These data indicate that the healthy behaviors prevent the incidence of diabetes.

Diabetes, body mass index and the excess risk of coronary heart disease, ischemic and hemorrhagic stroke in the Asia Pacific Cohort Studies Collaboration

OBJECTIVE

To examine the effects of diabetes on coronary heart disease, ischemic and hemorrhagic stroke and cardiovascular disease according to category of body mass index.

METHODS

Data on 161,161 men and women from 31 cohorts (baseline years, 1966-99; mean follow-up, 2-24 years) from the Asia Pacific Cohort Studies Collaboration were analyzed using Cox regression, stratified by sex and study and adjusted for age, systolic blood pressure and smoking. Diabetes was self-reported in all but one study. Body mass index was divided into five categories according to the World Health Organization Asian criteria.

RESULTS

The hazard ratio (diabetes v. not) for cardiovascular disease was 1.83 (95% confidence interval, 1.66-2.01). Across body mass index categories, this hazard ratio did not change significantly (p=0.19). Similar lack of difference across body mass index groups was found for coronary heart disease (p=0.33), ischemic stroke (p=0.97) and hemorrhagic stroke (p=0.98).

CONCLUSIONS

Body mass index does not modify the effect of diabetes on major cardiovascular outcomes.

Trends in health-related quality of life and health service use associated with body mass index and comorbid major depression in South Australia, 1998-2008

PURPOSE

To investigate 10-year trends in health-related quality of life and health service use associated with body mass index (BMI) and comorbid major depression in South Australia.

METHODS

Data were obtained from 9,059 people aged ≥ 15 years who participated in representative surveys of the South Australian population in 1998, 2004, and 2008. Major depression was determined using the mood module of the PRIME-MD. Health-related quality of life was assessed using the SF-36 and 15-item AQoL instruments.

RESULTS

Mean health-related quality-of-life scores were 8-55% lower (worse), and health service use was 58-85% higher in all unhealthy BMI groups (underweight, overweight, and obesity) with major depression than in the healthy weight group independent of all covariates (socio-demographic and chronic medical conditions), consistently over the 10-year period. In contrast, only some unhealthy BMI groups without major depression had worse SF-36 physical component scores (overweight/obesity), AQoL scores (underweight/obesity), and health service use outcomes (overweight/obesity), and by only 2-6%.

CONCLUSION

Comorbid major depression explained most of the excess health-related quality of life and health service use in people with unhealthy BMI, consistently from 1998 to 2008. Interventions and policies that can mitigate the persistent excess population health and economic burden of major depression are needed.

Early age at menarche associated with increased all-cause mortality

The objective was to examine the association between age at menarche and all-cause mortality. A population-based prospective study involving 55,128 Japanese women aged 40-79 years in 1988-1990 and followed up to December 2006 was used. A total of 6,967 deaths occurred during the follow-up. Hazard ratios (HR) and 95% confidence intervals (CI) adjusted for age, smoking and drinking status, exercise, sleeping hours, parity, menopausal status, and body mass index at baseline were calculated by Cox proportional hazards model. The HRs (95% CI) of all-cause mortality were 1.16 (1.01-1.32), 1.01 (0.92-1.11), 1.00, 0.97 (0.90-1.05), 0.98 (0.91-1.05), 0.92 (0.84-1.01), and 1.05 (0.96-1.14) for women with menarche aged 9-12, 13, 14 (referent), 15, 16, 17, 18-20 years, respectively, indicating an inverse J-shaped association (P for quadratic trend <.01). Moreover, women with menarche aged ≤12 years have a significantly high risk of all-cause mortality compared with those with menarche aged ≥13 years (HR 1.17, 95% CI 1.03-1.33). Comparing between women with menarche aged ≤13 years and ≥14 years, those with earlier age at menarche had borderline significantly high risk of all-cause mortality in both comparisons (HR 1.07, 95% CI 0.99-1.15, P = .082). Japanese women with early age at menarche of ≤12 years were associated with increased risk of all-cause mortality and those with late age at menarche of ≥18 years also had a slightly higher mortality risk. These associations were independent of lifestyle, anthropometric, and reproductive factors.