Social inequalities in health behaviors among Brazilian adults: National Health Survey, 2013

Barros, Marilisa Berti de Azevedo; Lima, Margareth Guimarães; Medina, Lhaís de Paula Barbosa; Szwarcwald, Célia Landman; Malta, Déborah Carvalho

doi:10.1186/s12939-016-0439-0

Cited by 79 publications

(48 citation statements)

References 51 publications

(54 reference statements)

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“…Studies analyzing individual behaviors have found healthier eating habits, such as adequate fruit and vegetable consumption, to be more prevalent among women than in men [41], but adherence to physical activity recommendations were more prevalent in men than in women [42]. In line with the above, in this study “ Snack DP ” mean scores adjusted for age and energy intake were significantly higher in men than in women.…”

Section: Discussionsupporting

confidence: 77%

Lifestyle Patterns and Weight Status in Spanish Adults: The ANIBES Study

et al. 2017

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Limited knowledge is available on lifestyle patterns in Spanish adults. We investigated dietary patterns and possible meaningful clustering of physical activity, sedentary behavior, sleep time, and smoking in Spanish adults aged 18–64 years and their association with obesity. Analysis was based on a subsample (n = 1617) of the cross-sectional ANIBES study in Spain. We performed exploratory factor analysis and subsequent cluster analysis of dietary patterns, physical activity, sedentary behaviors, sleep time, and smoking. Logistic regression analysis was used to explore the association between the cluster solutions and obesity. Factor analysis identified four dietary patterns, “Traditional DP”, “Mediterranean DP”, “Snack DP” and “Dairy-sweet DP”. Dietary patterns, physical activity behaviors, sedentary behaviors, sleep time, and smoking in Spanish adults aggregated into three different clusters of lifestyle patterns: “Mixed diet-physically active-low sedentary lifestyle pattern”, “Not poor diet-low physical activity-low sedentary lifestyle pattern” and “Poor diet-low physical activity-sedentary lifestyle pattern”. A higher proportion of people aged 18–30 years was classified into the “Poor diet-low physical activity-sedentary lifestyle pattern”. The prevalence odds ratio for obesity in men in the “Mixed diet-physically active-low sedentary lifestyle pattern” was significantly lower compared to those in the “Poor diet-low physical activity-sedentary lifestyle pattern”. Those behavior patterns are helpful to identify specific issues in population subgroups and inform intervention strategies. The findings in this study underline the importance of designing and implementing interventions that address multiple health risk practices, considering lifestyle patterns and associated determinants.

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Section: Discussionsupporting

confidence: 77%

Lifestyle Patterns and Weight Status in Spanish Adults: The ANIBES Study

et al. 2017

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“…Since 2006, a national system has monitored risk factors for NCDs through telephone interviews 49 . In 2013, the National Health Survey showed that older age, less schooling, and the male sex were associated with less physical activity, prevalence of daily smoking, and low consumption of fruits and vegetables—highlighting the increased potential risk for this demographic 52, 53…”

Section: Discussionmentioning

confidence: 99%

Burden of disease in Brazil, 1990–2016: a systematic subnational analysis for the Global Burden of Disease Study 2016

Marinho¹,

Passos²,

Malta³

et al. 2018

The Lancet

270

180

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SummaryBackgroundPolitical, economic, and epidemiological changes in Brazil have affected health and the health system. We used the Global Burden of Disease Study 2016 (GBD 2016) results to understand changing health patterns and inform policy responses.MethodsWe analysed GBD 2016 estimates for life expectancy at birth (LE), healthy life expectancy (HALE), all-cause and cause-specific mortality, years of life lost (YLLs), years lived with disability (YLDs), disability-adjusted life-years (DALYs), and risk factors for Brazil, its 26 states, and the Federal District from 1990 to 2016, and compared these with national estimates for ten comparator countries.FindingsNationally, LE increased from 68·4 years (95% uncertainty interval [UI] 68·0–68·9) in 1990 to 75·2 years (74·7–75·7) in 2016, and HALE increased from 59·8 years (57·1–62·1) to 65·5 years (62·5–68·0). All-cause age-standardised mortality rates decreased by 34·0% (33·4–34·5), while all-cause age-standardised DALY rates decreased by 30·2% (27·7–32·8); the magnitude of declines varied among states. In 2016, ischaemic heart disease was the leading cause of age-standardised YLLs, followed by interpersonal violence. Low back and neck pain, sense organ diseases, and skin diseases were the main causes of YLDs in 1990 and 2016. Leading risk factors contributing to DALYs in 2016 were alcohol and drug use, high blood pressure, and high body-mass index.InterpretationHealth improved from 1990 to 2016, but improvements and disease burden varied between states. An epidemiological transition towards non-communicable diseases and related risks occurred nationally, but later in some states, while interpersonal violence grew as a health concern. Policy makers can use these results to address health disparities.FundingBill & Melinda Gates Foundation and the Brazilian Ministry of Health.

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“…Esto puede estar asociado a que los conceptos de sedentarismo e inactividad física hasta una década atrás eran utilizados como sinónimos, lo que podría explicar la poca evidencia de estudios que reporten el tiempo que pasan las personas frente a un computador, en trabajos de oficina o en actividades de tiempo libre, como jugar videojuegos y ver televisión, en Latinoamérica 1,28 . En Brasil, la ENS-2013 reportó que 67,5% de la población adulta es inactiva en su tiempo libre y, al igual que en Chile, las mujeres son más sedentarias que los hombres 29 . Otra investigación realizada en adultos brasileños identificó que los individuos pertenecientes a los grupos socioeconómicos más altos y con un mayor nivel educacional presentan puntajes sedentarios más altos, tal como se identificó en este estudio a nivel nacional 30 .…”

Section: Discussionunclassified