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Ethnic comparison of risk differences across body mass index levels for incident hypertension and diabetes: The PRC and ARIC Studies
Author(s) -
Truesdale Kimberly P,
Stevens June,
Katz Eva,
Cai Jianwen
Publication year - 2007
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.21.5.a154-b
Subject(s) - body mass index , medicine , ethnic group , demography , logistic regression , diabetes mellitus , endocrinology , sociology , anthropology
Several researchers have reported that the impact of body mass index (BMI) on chronic disease may be greater in Chinese than in Caucasians, however, the majority of studies are cross‐sectional and few show multi‐ethnic comparisons. Our objective was to compare the associations of BMI with incident diabetes (DM), pre‐DM, hypertension (HTN), and pre‐HTN in Chinese (n=6,575), Caucasian (n=11,375) and African American (n=4,156) adults, using two prospective datasets collected using similar methodologies and the same coordinating center. Data are from the People's Republic of China Study (PRC) and the Atherosclerosis Risk in Communities Study (ARIC). In each ethnic group, adjusted probabilities and risk differences (RD) were calculated for BMI categories (referent=18.5–22.9 kg/m 2 ) using logistic regression models adjusted for age, gender, education, field site, smoking and drinking status. Associations between median BMI in each category and RD were calculated using weighted linear regression and slopes compared using the Wald test. We found steeper slopes among Chinese compared to Caucasians and African Americans for pre‐HTN and HTN (Figure 1). However, the opposite pattern was found for pre‐DM and DM. In conclusion, we found that the BMI‐associated risk was greater in Chinese for HTN but not for DM. This dichotomy was unexpected given the results from cross‐sectional studies and indicates a need for more longitudinal research. 1Slope of the risk difference over BMI categories by ethnicity