» Articles » PMID: 25915741

Body Mass Index and Health Status in Diabetic and Non-diabetic Individuals

Overview
Journal Nutr Diabetes
Date 2015 Apr 28
PMID 25915741
Citations 2
Authors
Affiliations
Soon will be listed here.
Abstract

Background/objectives: There is controversy regarding the existence of a body mass index (BMI) mortality paradox in diabetes, whereby the optimal BMI category is higher than it is in non-diabetic persons. To explore possible pathways to a mortality paradox, we examined the relationship of BMI with physical and mental health status in diabetic and non-diabetic persons.

Subjects/methods: We examined adjusted SF-12 Physical and Mental Component Summary (PCS-12 and MCS-12) scores by BMI (kg m(-2)) category (underweight, <20; normal weight, 20 to <25; overweight, 25 to <30; obese, 30 to <35; severely obese ⩾35) in adult diabetic and non-diabetic respondents to the 2000-2011 United States national Medical Expenditure Panel Surveys (N=119 161). Adjustors were age, sex, race/ethnicity, income, health insurance, education, smoking, comorbidity, urbanicity, geographic region and survey year.

Results: In non-diabetic persons the adjusted mean PCS-12 score was highest (that is, most optimal) in the normal-weight category, whereas for diabetic persons the optimal adjusted mean PCS-12 score was in the overweight category (adjusted difference between non-diabetic and diabetic persons in the difference in PCS-12 means for overweight versus normal-weight category=0.8 points, 95% confidence interval; CI 0.1, 1.6; P=0.03). This paradoxical pattern was not evident for the MCS-12, and the adjusted difference between non-diabetic and diabetic persons in the difference in MCS-12 means for overweight versus obese persons was not significant (-0.3 points, 95% CI -0.9, 0.4; P=0.43). The findings were not significantly moderated by smoking status, cancer diagnosis or time period.

Conclusions: The optimal BMI category for physical health status (but not mental health status) was higher among diabetic than non-diabetic persons. The findings are consistent with a BMI physical health status paradox in diabetes and, in turn, a mortality paradox.

Citing Articles

Human Tongue Thermography Could Be a Prognostic Tool for Prescreening the Type II Diabetes Mellitus.

Thirunavukkarasu U, Umapathy S, Krishnan P, Janardanan K Evid Based Complement Alternat Med. 2020; 2020:3186208.

PMID: 32419801 PMC: 7201785. DOI: 10.1155/2020/3186208.


Validation of Brunei's Malay EQ-5D Questionnaire in Patients with Type 2 Diabetes.

Koh D, Abdullah A, Wang P, Lin N, Luo N PLoS One. 2016; 11(11):e0165555.

PMID: 27835652 PMC: 5105939. DOI: 10.1371/journal.pone.0165555.

References
1.
Samaan Z, Anand S, Anand S, Zhang X, Desai D, Rivera M . The protective effect of the obesity-associated rs9939609 A variant in fat mass- and obesity-associated gene on depression. Mol Psychiatry. 2012; 18(12):1281-6. DOI: 10.1038/mp.2012.160. View

2.
Nyholm M, Gullberg B, Merlo J, Lundqvist-Persson C, Rastam L, Lindblad U . The validity of obesity based on self-reported weight and height: Implications for population studies. Obesity (Silver Spring). 2007; 15(1):197-208. DOI: 10.1038/oby.2007.536. View

3.
DeSalvo K, Bloser N, Reynolds K, He J, Muntner P . Mortality prediction with a single general self-rated health question. A meta-analysis. J Gen Intern Med. 2005; 21(3):267-75. PMC: 1828094. DOI: 10.1111/j.1525-1497.2005.00291.x. View

4.
McEwen L, Karter A, Waitzfelder B, Crosson J, Marrero D, Mangione C . Predictors of mortality over 8 years in type 2 diabetic patients: Translating Research Into Action for Diabetes (TRIAD). Diabetes Care. 2012; 35(6):1301-9. PMC: 3357242. DOI: 10.2337/dc11-2281. View

5.
Losina E, Walensky R, Reichmann W, Holt H, Gerlovin H, Solomon D . Impact of obesity and knee osteoarthritis on morbidity and mortality in older Americans. Ann Intern Med. 2011; 154(4):217-26. PMC: 3260464. DOI: 10.7326/0003-4819-154-4-201102150-00001. View