Dataset Information

Optimal body mass index for minimizing the risk for osteoporosis and type 2 diabetes.

ABSTRACT:

Background/aims

Body mass index (BMI) is positively associated with bone mineral density and type 2 diabetes. We investigated an optimal BMI range for osteoporosis and type 2 diabetes.

Methods

This cross-sectional study used data from the Korea National Health and Nutrition Examination Survey (KNHANES), 2008 to 2011. We included 3,774 men aged > 50 years and 4,982 postmenopausal women. Logistic regression models were applied to elucidate each BMI category's osteoporosis and diabetes risks.

Results

The prevalence of osteoporosis was 9.0% for men and 40.8% for women. The prevalence of type 2 diabetes in men was 19.7% and in women was 15.5%. In men with BMI > 25 kg/m2, the osteoporosis risk did not further increase as BMI increased. In women, BMI was linearly associated with osteoporosis risk without a plateau. In both men and women, higher BMI was associated with a higher type 2 diabetes risk. Men with a BMI of 23.0 to 24.9 kg/m2 harbored about a 30% lower osteoporosis risk than and a similar diabetes risk to those with a BMI of 21.0 to 22.9 kg/m2. In women with a BMI of 23.0 to 24.9 kg/m2, the adjusted odds ratio for osteoporosis was 0.72 (95% confidence interval, 0.59 to 0.87); the diabetes risk was not higher than in those with a BMI of 21.0 to 22.9 kg/m2.

Conclusion

For Korean men aged > 50 years and postmenopausal women, a BMI of 23.0 to 24.9 kg/m2 was the optimal range for minimizing osteoporosis and type 2 diabetes risks simultaneously.

SUBMITTER: Lee JH

PROVIDER: S-EPMC7652649 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature

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Publications

Optimal body mass index for minimizing the risk for osteoporosis and type 2 diabetes.

Lee Ji Hyun JH Kim Jung Hee JH Hong A Ram AR Kim Sang Wan SW Shin Chan Soo CS

The Korean journal of internal medicine 20191030 6

<h4>Background/aims</h4>Body mass index (BMI) is positively associated with bone mineral density and type 2 diabetes. We investigated an optimal BMI range for osteoporosis and type 2 diabetes.<h4>Methods</h4>This cross-sectional study used data from the Korea National Health and Nutrition Examination Survey (KNHANES), 2008 to 2011. We included 3,774 men aged > 50 years and 4,982 postmenopausal women. Logistic regression models were applied to elucidate each BMI category's osteoporosis and diabet ...[more]

PMID: 31564086

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Project description:BackgroundPregestational excessive body mass index (BMI) is linked to an increased risk for gestational diabetes mellitus (GDM), but less is known on the effect of adolescent BMI on GDM occurrence. The study aimed to investigate possible associations of adolescent BMI and changes in BMI experienced before first pregnancy, with gestational diabetes risk.MethodsThis retrospective study was based on linkage of a military screening database of adolescent health status (Israel Defence Forces) including measured height and weight, with medical records (Maccabi Healthcare Services, MHS) of a state-mandated health provider. The latter covers about 25% of the Israeli population; about 90% of pregnant women undergo screening by the two-step Carpenter-Coustan method. Adolescent BMI was categorized according to Center of Disease Control and Prevention percentiles. Only first documented pregnanies were analyzed and GDM was the outcome.FindingsOf 190,905 nulliparous women, 10,265 (5.4%) developed GDM. Incidence proportions of GDM were 5.1%, 6.1%, 7.3%, and 8.9% among women with adolescent normal BMI, underweight, overweight, and obesity (p<0.001), respectively. In models that accounted for age at pregnancy, birth year, and sociodemographic variables, the adjusted odd ratios (aORs) for developing GDM were: 1.2 (95%CI, 1.1-1.3), 1.5 (1.4-1.6), and 1.9 (1.7-2.1) for adolescent underweight, overweight, and obesity (reference group, normal BMI). Adolescent BMI tracked with BMI notes in the pre-pregnancy period (r=63%). Resuming normal pre-pregnancy BMI from overweight or obesity in adolescence diminished GDM risk, but this diminished risk was not observed among those who returned to a normal per-pre-pregnancy BMI from being underweight in adolescence. Sustained overweight or obesity conferred an aOR for developing GDM of 2.5 (2.2-2.7); weight gain from adolescent underweight and normal BMI to pre-pregnancy excessive BMI conferred aORs of 3.1 (1.6-6.2) and 2.6 (2.2-2.7), respectively.InterpretationChange in BMI status from adolescence to pre-pregnancy may contribute to GDM risk. Identifying at-risk populations is important for early preventive interventions.FundingNone.

Project description:BackgroundThe relation between body weight and mortality among persons with type 2 diabetes remains unresolved, with some studies suggesting decreased mortality among overweight or obese persons as compared with normal-weight persons (an "obesity paradox").MethodsWe studied participants with incident diabetes from the Nurses' Health Study (8970 participants) and Health Professionals Follow-up Study (2457 participants) who were free of cardiovascular disease and cancer at the time of a diagnosis of diabetes. Body weight shortly before diagnosis and height were used to calculate the body-mass index (BMI, the weight in kilograms divided by the square of the height in meters). Multivariable Cox models were used to estimate the hazard ratios and 95% confidence intervals for mortality across BMI categories.ResultsThere were 3083 deaths during a mean period of 15.8 years of follow-up. A J-shaped association was observed across BMI categories (18.5 to 22.4, 22.5 to 24.9 [reference], 25.0 to 27.4, 27.5 to 29.9, 30.0 to 34.9, and ≥35.0) for all-cause mortality (hazard ratio, 1.29 [95% confidence interval {CI}, 1.05 to 1.59]; 1.00; 1.12 [95% CI, 0.98 to 1.29]; 1.09 [95% CI, 0.94 to 1.26]; 1.24 [95% CI, 1.08 to 1.42]; and 1.33 [95% CI, 1.14 to 1.55], respectively). This relationship was linear among participants who had never smoked (hazard ratios across BMI categories: 1.12, 1.00, 1.16, 1.21, 1.36, and 1.56, respectively) but was nonlinear among participants who had ever smoked (hazard ratios across BMI categories: 1.32, 1.00, 1.09, 1.04, 1.14, and 1.21) (P=0.04 for interaction). A direct linear trend was observed among participants younger than 65 years of age at the time of a diabetes diagnosis but not among those 65 years of age or older at the time of diagnosis (P<0.001 for interaction).ConclusionsWe observed a J-shaped association between BMI and mortality among all participants and among those who had ever smoked and a direct linear relationship among those who had never smoked. We found no evidence of lower mortality among patients with diabetes who were overweight or obese at diagnosis, as compared with their normal-weight counterparts, or of an obesity paradox. (Funded by the National Institutes of Health and the American Diabetes Association.).

Dataset Information

Optimal body mass index for minimizing the risk for osteoporosis and type 2 diabetes.

Background/aims

Methods

Results

Conclusion

Publications

Optimal body mass index for minimizing the risk for osteoporosis and type 2 diabetes.

Similar Datasets

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