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METABOLIC SYNDROME IN HEALTHY OBESE, OVERWEIGHT AND NORMAL WEIGHT INDIVIDUALS: THE ATHEROSCLEROSIS RISK IN COMMUNITIES STUDY

There is recent interest in characterizing the subset of obese individuals who have healthy metabolic profiles yet only two studies have examined this group prospectively but not in racially diverse populations. We analyzed factors associated with the prevalence and incidence of metabolic syndrome (...

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Detalles Bibliográficos
Autores principales: Bradshaw, Patrick T., Monda, Keri L., Stevens, June
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4170589/
https://www.ncbi.nlm.nih.gov/pubmed/23505187
http://dx.doi.org/10.1002/oby.20248
Descripción
Sumario:There is recent interest in characterizing the subset of obese individuals who have healthy metabolic profiles yet only two studies have examined this group prospectively but not in racially diverse populations. We analyzed factors associated with the prevalence and incidence of metabolic syndrome (MetSyn) among individuals grouped by body mass index (BMI) categories in a multi-center, community-based cohort of 14,663 African-American and white men and women aged 45-64 years at recruitment in 1987-1989, the Atherosclerosis Risk in Communities study. Logistic and proportional hazards regression were utilized to estimate odds ratios (OR) for the prevalence and hazard ratios (HR) for incidence of MetSyn with 95% confidence intervals (CI). At visit 1, MetSyn was positively associated with age, female gender, African-American race, and inversely related to education, associations being more pronounced among normal weight (NW) subjects. Among those without MetSyn at visit 1, obese (OB) subjects were more likely to develop MetSyn compared with NW [HR (95% CI): 4.53 (4.09-5.01)]. Several factors were associated with incident MetSyn among NW, including older age [per year: 1.05 (1.03-1.06)], female gender [vs. male: 1.29 (1.10-1.52)], heavy alcohol intake [vs. never: 0.75 (0.59-0.94)] and physical activity [tertile 3 vs. tertile 1: 0.71 (0.58-0.86)] but not OB. Weight gain (>5%) was also more highly associated with MetSyn in NW [1.61 (1.28-2.02)] compared with OB [1.01 (0.85-1.20)]. We conclude that lifestyle factors may play a stronger role in development of MetSyn in NW individuals compared with OB and that metabolically healthy obesity may not be a stable condition.