Factors Associated with Physical Inactivity in Adolescents in Ho Chi Minh City, Vietnam

Trang, Nguyen H.H.D.; Tang, Hong; Dibley, Michael J.; Sibbritt, David

doi:10.1249/mss.0b013e31819c0dd3

Cited by 47 publications

(63 citation statements)

References 28 publications

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“…Embora não tenha sido detectado nesta amostra, outros estudos encontraram que menor nível educacional e sobrepeso materno estão relacionados com inatividade física 9,27,28 . Em geral, menor nível educacional e baixa renda são associados com maiores índices de inatividade física e refletem a falta de informação sobre os benefícios da atividade física para a saúde, assim como a falta de ambientes adequados (estrutura física e segurança) para sua prática 9,29 .…”

Section: Discussionunclassified

“…Em geral, menor nível educacional e baixa renda são associados com maiores índices de inatividade física e refletem a falta de informação sobre os benefícios da atividade física para a saúde, assim como a falta de ambientes adequados (estrutura física e segurança) para sua prática 9,29 . Melhores níveis de atividade física relacionam-se com famílias de maior nível educacional, que entendem os benefícios, são mais ativas e atuam como apoio social, encorajando essa prática nos seus filhos 8,9,23 . A mãe com sobrepeso e fisicamente inativa pode afetar negativamente a decisão do adolescente sobre a prática de atividade física 9,30,31 .…”

Section: Discussionunclassified

“…Melhores níveis de atividade física relacionam-se com famílias de maior nível educacional, que entendem os benefícios, são mais ativas e atuam como apoio social, encorajando essa prática nos seus filhos 8,9,23 . A mãe com sobrepeso e fisicamente inativa pode afetar negativamente a decisão do adolescente sobre a prática de atividade física 9,30,31 . Apesar de a família influenciar a adoção de comportamentos saudáveis, deve-se observar que muitos adolescentes tendem a ignorar essas atitudes como forma de afirmar sua autonomia, tornando-se fisicamente inativos, independente do hábito da família 24 .…”

Section: Discussionunclassified

“…O tempo gasto assistindo televisão é positivamente associado com inatividade física, o que foi confirmado também neste estudo 6,9,24,32 . A inter-relação entre comportamentos sedentários e inatividade física é complexa 23 .…”

Section: Discussionunclassified

“…Os hábitos sedentários são estabelecidos na infância e na adolescência e tendem a se perpetuar na vida adulta, com fatores biológicos, familiares e culturais envolvidos na conduta de inatividade física 8 . Adolescentes em todo o mundo estão adotando estilo de vida cada vez mais passivo, com menos atividade física e mudanças nos hábitos alimentares 9 . Embora estudos tenham demonstrado que fatores como sexo, sobrepeso no adolescente e na mãe, escolaridade da mãe e tempo despendido com atividades sedentárias sejam apontados como alguns dos determinantes para inatividade física, ainda existe controvérsia 6,7,[9][10][11][12][13][14][15] .…”

Section: Introductionunclassified

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Determinants of physical inactivity among urban adolescents

Lippo¹,

Silva²,

Pereira³

et al. 2010

J Pediatr (Rio J)

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Objective: To investigate determinants of physical inactivity among adolescents aged 15 to 19 years in the city of Recife, northeastern Brazil.Method: This case-control study involved 597 private school students aged 15 to 19 years selected by convenience sampling. Exclusion criteria were adolescents with diseases that interfered with or hindered anthropometric measurements, who were being treated with drugs or diet for excess weight or who had changed their physical activity over the past 30 days. The students were recruited according to physical activity, as determined by the International Physical Activity Questionnaire: cases -inactive (sedentary or insufficiently active); and controls -active (active and very active). The adolescents reported the number of hours per day of television watching and computer use to identify the number of sedentary hours/day. Anthropometry (weight and height) of the adolescents was measured by Gibson's technique and used to calculate the body mass index. Weight, height and educational level of mothers were self-reported. Data were analyzed by multiple logistic regression, using the SPSS software, version 11.5, in order to control for confounding variables.Results: Female adolescents were twice as likely to be inactive (odds ratio = 1.94; 95% confidence interval = 1.35-2.79) compared to male adolescents. Watching television for more than 1 hour/day showed increased risk for physical inactivity compared to less than 1 hour/day (odds ratio = 1.55; 95% confidence interval = 1.01-2.39). Conclusion:Physical inactivity among adolescents was associated with females and longer time spent per day watching television.J Pediatr (Rio J). 2010;86(6):520-524: Physical activity, risk factors, overweight, television, case-control studies, adolescents. ResumoObjetivo: Investigar fatores determinantes da inatividade física entre adolescentes de 15 a 19 anos na cidade do Recife (PE). Método:O estudo foi caso-controle, envolvendo 597 adolescentes de 15 a 19 anos, estudantes de escolas particulares, selecionadas por conveniência. Os critérios de exclusão foram adolescentes com doenças que interferissem ou impossibilitassem a avaliação antropométrica, que estavam em tratamento medicamentoso ou dietético para sobrepeso ou que haviam modificado sua atividade física nos últimos 30 dias. Eles foram recrutados de acordo com a atividade física, determinada pelo International Physical Activity Questionnaire: casos -inativos (sedentários e insuficientemente ativos); e controles -ativos (ativos e muito ativos). Os adolescentes informaram quantas horas diárias assistiam televisão e usavam computador para identificar o número de horas sedentárias/dia. A antropometria (peso e estatura) dos adolescentes foi aferida pela técnica de Gibson; assim, foi calculado o índice de massa corporal. O peso, a estatura e a escolaridade das mães foram autorreferidos. Os dados foram analisados por análise múltipla de regressão logística, utilizando o programa SPSS, versão 11.5, objetivando controlar variáveis de confusão...

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Section: Discussionunclassified

Section: Introductionunclassified

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Determinants of physical inactivity among urban adolescents

Lippo¹,

Silva²,

Pereira³

et al. 2010

J Pediatr (Rio J)

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The prevalence and correlates of physical activity/inactivity and sedentary behaviour among high-school adolescents in Iran: a cross-sectional study

Ziaei

Mohammadi

Dastgiri

et al. 2020

J Public Health (Berl.)

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Background Physical inactivity and sedentary behaviour are the main risk factors for non-communicable diseases in all stages of life. However, there is a lack of reliable data regarding the recommended level of physical activity and its correlates related to physical inactivity and sedentary behaviour among school students in Iran. The aim of the present study was to report the prevalence and correlates of physical activity/inactivity and sedentary behaviour among Iranian high school adolescents. Methods The Global School-based Student Health Survey (GSHS) was used for data collection. Related data comprising socio-demographics, health risk behaviour and protective factors were obtained from 1517 high school students. Multivariate logistic regression was used to assess the association between relevant independent variables (e.g. gender) and the dependent outcome variable (physical inactivity/sedentary behaviour). Results The prevalence of recommended physical activity by WHO was 27.8%, physical inactivity 72.2% and sedentary behaviour 71.4%. Being female, being overweight or obese, walking/cycling to or from school on 1–4 days, sitting 3 or more hours/day (sedentary behaviour), insufficient vegetable intake, being bullied and lack of parental support, peer support and parental connectivity (protective factors) were positively associated with physical inactivity. On the other hand, walking/cycling to or from school on 5–7 days and inadequate fruit intake were negatively associated with physical inactivity. Walking/cycling to or from school on 1–4 days, being physically inactive, inadequate fruit intake and being bullied were positively associated with sedentary behaviour. Conclusion The prevalence of physical inactivity and sedentary behaviour was high in our studied sample. Interventions that address the issue of active school transport, sedentary behaviour, fruit and vegetable intake, family and peer support and bullying should be given more priority by the public health authorities.

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Etiology of Obesity Over the Life Span: Ecological and Genetic Highlights from Asian Countries

et al. 2014

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Obesity is a worldwide pandemic, and the prevalence rate has doubled since the 1980s. Asian countries are also experiencing the global epidemic of obesity with its related health consequences. The prevalence of overweight and obesity are increasing at an alarming rate across all age groups in Asia. These increases are mainly attributed to rapid economic growth, which leads to socio-economic, nutrition and lifestyle transitions, resulting in a positive energy balance. In addition, fat mass and obesity-associated gene variants, copy number variants in chromosomes and epigenetic modifications have shown positive associations with the risk of obesity among Asians. In this review highlights of prevalence and related ecological and genetic factors that could influence the rapid rise in obesity among Asian populations are discussed.

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Factors Associated with Physical Inactivity in Adolescents in Ho Chi Minh City, Vietnam

Abstract: Physical activity among adolescents in HCMC is related to household, school, and community factors. These factors and gender differences should be taken into account when promoting physical activity in adolescents.

Cited by 47 publications

References 28 publications

Determinants of physical inactivity among urban adolescents

Determinants of physical inactivity among urban adolescents

The prevalence and correlates of physical activity/inactivity and sedentary behaviour among high-school adolescents in Iran: a cross-sectional study

Etiology of Obesity Over the Life Span: Ecological and Genetic Highlights from Asian Countries

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