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Obesity and vital exhaustion: analysis of the Atherosclerosis Risk in the Communities study.

TitleObesity and vital exhaustion: analysis of the Atherosclerosis Risk in the Communities study.
Publication TypeJournal Article
Year of Publication2008
AuthorsBryant MJ, Stevens J, Truesdale KP, Mosley T, Chambless L
JournalObesity (Silver Spring)
Volume16
Issue7
Pagination1545-51
Date Published2008 Jul
ISSN1930-7381
KeywordsAfrican Americans, Atherosclerosis, Body Mass Index, Cross-Sectional Studies, European Continental Ancestry Group, Fatigue, Female, Follow-Up Studies, Humans, Logistic Models, Male, Middle Aged, Obesity, Risk Assessment, Risk Factors, Stress, Psychological, Time Factors, United States, Weight Gain
Abstract

This study aimed to determine whether vital exhaustion (VE) was associated with BMI cross-sectionally and after 3 and 6 years of follow-up. Extant data from the Atherosclerosis Risk in Communities (ARIC) study were used to examine the relationship between VE and BMI among 13,727 white and African-American adults cross-sectionally (baseline) and longitudinally (3 and 6 years later). We used adjusted and nonadjusted general linear regression models. Associations with excess weight gain (>or=5.0%) were also examined using logistic regression. Results showed that BMI was significantly higher among both white and African-American men and women in the highest VE quartile compared to those with no VE. Similarly, high VE at baseline was associated with higher BMI 3 and 6 years later, although VE was not able to predict future BMI after adjusting for baseline BMI. Baseline VE predicted future excess weight gain in white men and women, but not in African Americans. These results suggest that reducing VE levels may play an important role in reducing the prevalence of obesity. High VE was associated with higher current BMI (all races) and excess weight gain (whites only). Although high VE predicted future weight gain without baseline BMI adjustment, the magnitude of change in BMI over time was similar among those with low and high VE; suggesting that any relationship between VE and BMI was already established at baseline. Assessment of VE and BMI over time would help to elucidate uncertainties between the temporal nature of the relationship between them.

DOI10.1038/oby.2008.248
Alternate JournalObesity (Silver Spring)
PubMed ID18451777
PubMed Central IDPMC3234681
Grant ListHHSN268201100012C / HL / NHLBI NIH HHS / United States
HHSN268201100010C / HL / NHLBI NIH HHS / United States
HHSN268201100008C / HL / NHLBI NIH HHS / United States
HHSN268201100005C / / PHS HHS / United States
HHSN268201100007C / HL / NHLBI NIH HHS / United States
HHSN268201100009C / / PHS HHS / United States
HHSN268201100011C / HL / NHLBI NIH HHS / United States
HHSN268201100010C / / PHS HHS / United States
HHSN268201100006C / HL / NHLBI NIH HHS / United States
HHSN268201100008C / / PHS HHS / United States
HHSN268201100012C / / PHS HHS / United States
HHSN268201100007C / / PHS HHS / United States
HHSN268201100009C / HL / NHLBI NIH HHS / United States
HHSN268201100011C / / PHS HHS / United States
HHSN268201100005C / HL / NHLBI NIH HHS / United States
HHSN268201100006C / / PHS HHS / United States