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. 2016 Jul;95(27):e4010.
doi: 10.1097/MD.0000000000004010.

Factors associated with metabolically healthy status in obesity, overweight, and normal weight at baseline of ELSA-Brasil

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Factors associated with metabolically healthy status in obesity, overweight, and normal weight at baseline of ELSA-Brasil

Maria de Fátima Haueisen Sander Diniz et al. Medicine (Baltimore). 2016 Jul.

Abstract

The primary aim of this study was to evaluate metabolically healthy status (MHS) among participants in obesity, overweight, and normal weight groups and characteristics associated with this phenotype using baseline data of Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). The secondary aim was to investigate agreement among 4 different MHS criteria. This cross-sectional study included 14,545 participants aged 35 to 74 years with a small majority (54.1%) being women. Of all participants, 22.7% (n = 3298) were obese, 40.8% (n = 5934) were overweight, and 37.5% (n = 5313) were of normal weight.Socio-demographic, behavioral, and anthropometric factors related to MHS were ascertained. Logistic regression models estimated the odds of associations. We used 4 different criteria separately and in combination to define MHS: the National Health and Nutrition Examination Survey (NHANES), the National Cholesterol Education Program (NCEP-ATPIII), the International Diabetes Federation (IDF) and comorbidities, and the agreement between them were evaluated by Cohen-kappa coefficient.MHS was present among 12.0% (n = 396) of obese, 25.5% (n = 1514) of overweight, and 48.6% (n = 2582) of normal weight participants according to the combination of the 4 criteria. The agreement between all the 4 MHS criteria was strong (kappa 0.73 P < 0.001). In final logistic models, MHS was associated with lower age, female sex, lower body mass index (BMI), and weight change from age 20 within all BMI categories.This study showed that, despite differences in prevalence among the 4 criteria, MHS was associated with common characteristics at every BMI category.

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Conflict of interest statement

The authors have no conflicts of interest to declare.

Figures

Figure 1
Figure 1
Obesity (A), overweight (B), and normal weight (C) metabolically healthy or unhealthy according to the 4 criteria, and metabolically healthy status according to the combination of all the 4 criteria (D). Comorb = comorbidities criteria, IDF = International Diabetes Federation criteria, NCEP = National Cholesterol Education Panel, NHANES = National Health Examination Surveys, MH = metabolically healthy, MUH = metabolically unhealthy.
Figure 2
Figure 2
Odds ratio for factors associated with being metabolically healthy, among obese, overweight and normal weight individuals. Educational level-university degree as reference, occupation: Nonroutine, nonmanual as reference; social class: high as reference, smoking: never as reference, physical activity highly active as reference, fruit consumption: ≥5 times/week as reference, Regular/Poor/Very poor self-rated health: very good or good as reference. BMI = body mass index, Fruit consump = regular consumption of fruit (≥5 times/week), Rout.N-manual occupation = Routine nonmanual occupation, Reg./poor health = Regular/Poor/Very poor self-rated health, %RWC = relative weight change.

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References

    1. Ng M, Fleming T, Robinson M, et al. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet 2014; 384:766–781. - PMC - PubMed
    1. BRASIL. Ministério da Saúde. Vigitel Brasil 2014. Saúde Suplementar: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico /Ministério da Saúde, Agência Nacional de Saúde Suplementar. Brasília: Ministério da Saúde, 2015. Available at: http://bvsms.saude.gov.br/bvs/publicacoes/vigitel_brasil_2014.pdf (accessed May 12, 2016).
    1. Flegal KM, Kit BK, Orpana H, Graubard BI. Association of all-cause mortality with overweight and obesity using standard body mass index categories: a systematic review and meta-analysis. JAMA 2013; 309:71–82. - PMC - PubMed
    1. Roberson LL, Aneni EC, Maziak W, et al. Beyond BMI: The “metabolically healthy obese” phenotype & its association with clinical/subclinical cardiovascular disease and all-cause mortality: a systematic review. BMC Public Health 2014; 14:14. - PMC - PubMed
    1. Sung KC, Ryu S, Cheong ES, et al. All-cause and cardiovascular mortality among Koreans: effects of obesity and metabolic health. Am J Prev Med 2015; 49:62–71. - PubMed

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