Predictors of incident diabetes in two populations: framingham heart study and hispanic community health study / study of latinos

• Published in: BMC public health 2022-05, Vol.22 (1), p.1053-1053, Article 1053
• Main Authors: Kaplan, Robert C, Song, Rebecca J, Lin, Juan, Xanthakis, Vanessa, Hua, Simin, Chernofsky, Ariel, Evenson, Kelly R, Walker, Maura E, Cuthbertson, Carmen, Murabito, Joanne M, Cordero, Christina, Daviglus, Martha, Perreira, Krista M, Gellman, Marc, Sotres-Alvarez, Daniela, Vasan, Ramachandran S, Xue, Xiaonan, Spartano, Nicole L, Mossavar-Rahmani, Yasmin
• Format: Article
• Language: English
• Subjects: Accelerometers; Adult; Age; Americans; Body mass; Body Mass Index; Body size; Comparative analysis; Confidence intervals; Demographic aspects; Diabetes; Diabetes mellitus; Diabetes Mellitus - epidemiology; Employment; epidemiology; Ethnic factors; Exercise; Fasting; Gender; Genetic factors; Glucose; Health aspects; Health hazards; Health risks; Hemoglobin; Hispanic; Hispanic Americans; Hispanic or Latino; Humans; Hypertension; Laboratories; Latin Americans; Latino; Longitudinal Studies; Male; Metabolism; Minority & ethnic groups; occupation; Physical activity; Population; Population studies; Populations; Public Health; Regression analysis; Regression models; Risk; Risk factors; Sex; Socioeconomic factors; Socioeconomics; Statistical analysis; Vital statistics
• ISSN: 1471-2458; 1471-2458
• DOI: 10.1186/s12889-022-13463-8

Non-genetic factors contribute to differences in diabetes risk across race/ethnic and socioeconomic groups, which raises the question of whether effects of predictors of diabetes are similar across populations. We studied diabetes incidence in the primarily non-Hispanic White Framingham Heart Study (FHS, N = 4066) and the urban, largely immigrant Hispanic Community Health Study/Study of Latinos (HCHS/SOL, N = 6891) Please check if the affiliations are captured and presented correctly. Clinical, behavioral, and socioeconomic characteristics were collected at in-person examinations followed by seven-day accelerometry. Among individuals without diabetes, Cox proportional hazards regression models (both age- and sex-adjusted, and then multivariable-adjusted for all candidate predictors) identified predictors of incident diabetes over a decade of follow-up, defined using clinical history or laboratory assessments. Four independent predictors were shared between FHS and HCHS/SOL. In each cohort, the multivariable-adjusted hazard of diabetes increased by approximately 50% for every ten-year increment of age and every five-unit increment of body mass index (BMI), and was 50-70% higher among hypertensive than among non-hypertensive individuals (all P