Os fatores sociodemográficos moderam a associação da prática de atividade física dos pais e amigos com o nível de atividade física dos adolescentes?

Mendonça, Gerfeson; Mendes, Jacqueline de Oliveira; Lucena, Joana Marcela Sales de; Júnior, José Cazuza de Farias

doi:10.12820/rbafs.24e0092

Cited by 5 publications

(6 citation statements)

References 19 publications

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“…Good SRH (72.2%) was lower when compared with adolescents from other regions of Brazil (de Sousa et al, 2010; Meireles et al, 2015; Mendonça & Farias Júnior, 2013), Spain (Galán et al, 2013), the Czech Republic (Hodačová et al, 2017), Greenland and Norway (Spein et al, 2013). One of the probable explanations for this difference is the HDI values, as the neighbourhoods of the schools studied presented low HDI values (from 0.170 to 0.491) that were well below the Ceará state index (0.726).…”

Section: Discussionmentioning

confidence: 94%

“…Understanding lifestyle, social and environmental factors that affect perceptions of health may help to define relevant elements of the complex system involved in this health indicator (Dahlgren & Whitehead, 1991; Sucupira et al, 2014). For instance, SRH has been associated with individual behavioural factors, such as low levels of physical activity (Zhang et al, 2020), smoking, alcohol abuse and illicit drug use (de Sousa et al, 2010; Loch & Possamai, 2007), as well as status of the body mass index (BMI) (Mendonça & Farias Júnior, 2013) and socio‐economic factors (e.g. schooling) (Mendonça & Farias Júnior, 2013).…”

Section: Purposementioning

confidence: 99%

“…For instance, SRH has been associated with individual behavioural factors, such as low levels of physical activity (Zhang et al, 2020), smoking, alcohol abuse and illicit drug use (de Sousa et al, 2010; Loch & Possamai, 2007), as well as status of the body mass index (BMI) (Mendonça & Farias Júnior, 2013) and socio‐economic factors (e.g. schooling) (Mendonça & Farias Júnior, 2013). Furthermore, contextual factors and social vulnerabilities are determinants of a population's health (United Nations Development Programme, 2015).…”

Section: Purposementioning

confidence: 99%

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Self‐rated health among adolescents from vulnerable areas and their sociodemographic, lifestyle and contextual factors: A multilevel analysis

Sales

Filho

Maciel

et al. 2023

Child

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PurposeUnderstanding self‐rated health in young people can help orient global health actions, especially in regions of social vulnerability. The present study analysed individual and contextual factors associated with self‐rated health in a sample of Brazilian adolescents.Design and MethodsCross‐sectional data from 1272 adolescents (aged 11–17; 48.5% of girls) in low human development index (HDI) neighbourhoods were analysed (HDI from 0.170 to 0.491). The outcome variable was self‐rated health. Independent variables relating to individual factors (biological sex, age and economic class) and lifestyle (physical activity, alcohol, tobacco consumption and nutritional state) were measured using standardised instruments. The socio‐environmental variables were measured using neighbourhood registered data where the adolescents studied. Multilevel regression was used to estimate the regression coefficients and their 95% confidence intervals (CI).ResultsGood self‐rated health prevalence was of 72.2%. Being male (B: −0.165; CI: −0.250 to −0.081), age (B: −0.040; CI: −0.073 to −0.007), weekly duration of moderate to vigorous physical activity (B: 0.074; CI: 0.048–0.099), body mass index (B: −0.025; CI: −0.036 to −0.015), number of family healthcare teams in the neighbourhood (B: 0.019; CI: 0.006–0.033) and dengue incidence (B: −0.001; CI: −0.002; −0.000) were factors associated with self‐rated health among students from vulnerable areas.Conclusions/Practical ImplicationsApproximately three in every 10 adolescents in areas of social vulnerability presented poor self‐rated health. This fact was associated with biological sex and age (individual factors), physical activity levels and BMI (lifestyle) and the number of family healthcare teams in the neighbourhood (contextual).

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Section: Discussionmentioning

confidence: 94%

Section: Purposementioning

confidence: 99%

Section: Purposementioning

confidence: 99%

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Self‐rated health among adolescents from vulnerable areas and their sociodemographic, lifestyle and contextual factors: A multilevel analysis

Sales

Filho

Maciel

et al. 2023

Child

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“…As práticas de educação em saúde têm como finalidade despertar no discente a identificação com o meio em que se vive, assim como a consciência crítica sobre os problemas de saúde e a relatividade que os determinam, tanto num contexto de sociedade coletiva quanto num patamar a nível de individuo (Mendonça et al, 2019). É importante ressaltar que o papel educativo exercido por professores e demais atores da comunidade escolar complementa a educação recebida pela família.…”

Section: Resultsunclassified

Comportamentos relacionados à atividade física e alimentação de estudantes do ensino médio em instituições públicas de ensino

Palacio

Pinto

Palacio

et al. 2021

RSD

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Objetivou-se investigar o comportamento de atividade física e hábitos alimentares e sua relação com o estado nutricional dos estudantes. Trata-se de um estudo epidemiológico de corte transversal, com abordagem quantitativa. A pesquisa foi realizada em seis escolas da rede pública estadual de ensino situadas no nordeste brasileiro. A amostra foi de 1.130 alunos (idade média 16,6 anos ± 1,1). O instrumento de coleta de dados utilizado foi um questionário de caráter objetivo. O estudo teve característica analítica e interpretação quantitativa. As variáveis quantitativas foram expressas em média e desvio padrão. Para as análises da associação foi utilizado o teste qui-quadrado ou teste t de student. Considerou-se significantes p < 0,05. Como resultados temos que 64,34% dos estudantes mostram boa nutrição (eutrófico), apenas 16,1% dos estudantes relatam atingir o consumo diário adequado de frutas e hortaliças e 60,1% dos estudantes encontram-se expostos ao risco sobre consumo constante de refrigerantes. Além disso, 89% dos alunos relatam não atingir o tempo mínimo de 300 minutos de atividade física semanais. A maior parcela dos estudantes (73%), realizam deslocamento ativo para a escola. Os indivíduos eutróficos relatam uma prevalência de deslocamento ativo significativamente maior quando comparados aos demais e 88% dos estudantes encontram-se no grupo de indivíduos expostos ao risco do comportamento sedentário. Conclui-se que os alunos mostram uma alta exposição aos riscos vinculados ao baixo consumo de frutas e hortaliças e alto consumo de refrigerantes e fastfood, um tempo de atividade física insuficiente e alto teor de comportamento sedentário.

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“…Economic and sociodemographic changes, together with the link with the health of Brazilians, especially those defined by inequalities, have been the focus of discussions, as well as health promotion and prevention models and the relationship with their determinants [13,14], assisting in a more accurate assessment of the performance of physical activity among a given population [15]. Associated with several NCDs and premature mortality, the insufficiency of physical activity is responsible not only for a negative impact on the mental health and quality of life of the subjects but is also responsible for high economic expenses [16].…”

Section: Discussionmentioning

confidence: 99%

Physical Activity Levels in Leisure Time, Sociodemographic Characteristics, and Chronic Non-Communicable Diseases in Brazilian Older Adults: National Health Survey, 2019

Freitas,

Santos,

Da Silva

et al. 2023

IJERPH

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Health interventions for elderly people must understand the association between physical activity, sociodemographic factors, and non-communicable diseases. This study aimed to verify the association between physical activity in leisure time, sociodemographic factors, and NCDs in Brazilian older people. This is a descriptive study, with a cross-sectional design, carried out using secondary data from the 2019 National Health Survey—Brazil. It used data from 23,144 subjects aged over 60 years. Statistical analyses included descriptive and quantile regression with cutoff points 0.25, 0.50 (Median), 0.75, and 0.90 to verify the association between the variables. The statistical software R version 4.1.3 was used. Older people aged between 60 and 79 years were highlighted up to the 50th quantile. Females showed lower values in all quantiles, with emphasis from quantile 50 onwards. Subjects who self-declared as “white” showed significant differences up to quantile 50, not indicating significant values from this cutoff point. Residents of the rural area had lower values than residents of the urban area in all quantiles, with emphasis starting from the median. For cardiovascular diseases, it was found that subjects who did not report having this type of disease had better results for the amount of physical activity during leisure time, especially from the 75th quantile. It was concluded that there is a direct relationship between time spent in leisure-time performing physical activity, sociodemographic variables, and NCDs. It is necessary to review and validate cutoff points according to each category viewed, which can favor the adjustment of interventions according to each population. Actions of this nature can favor adherence by groups of older people to the weekly practice of physical activity.

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Os fatores sociodemográficos moderam a associação da prática de atividade física dos pais e amigos com o nível de atividade física dos adolescentes?

Cited by 5 publications

References 19 publications

Self‐rated health among adolescents from vulnerable areas and their sociodemographic, lifestyle and contextual factors: A multilevel analysis

Self‐rated health among adolescents from vulnerable areas and their sociodemographic, lifestyle and contextual factors: A multilevel analysis

Comportamentos relacionados à atividade física e alimentação de estudantes do ensino médio em instituições públicas de ensino

Physical Activity Levels in Leisure Time, Sociodemographic Characteristics, and Chronic Non-Communicable Diseases in Brazilian Older Adults: National Health Survey, 2019

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