Exploring motivation, goals, facilitators, and barriers to adopt health behaviors at retirement age: a focus group study | BMC Public Health

Exploring motivation, goals, facilitators, and barriers to adopt health behaviors at retirement age: a focus group study | BMC Public Health

Facilitators and barriers Participants identified various facilitators and barriers for a healthy lifestyle in general, most of them observed for both diet and physical activity, but some were specific to each. Usually, facilitators and barriers overlapped. For example, participants identified having more time as an expected facilitator, and lack of time as a barrier (additional…

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Evaluating the differences in healthy lifestyle behaviors between Chinese urban and rural residency after the termination of social distancing: analysis based on propensity score matching | BMC Public Health

Evaluating the differences in healthy lifestyle behaviors between Chinese urban and rural residency after the termination of social distancing: analysis based on propensity score matching | BMC Public Health

WHO. Global Recommendations on Physical Activity for Health. Geneva: World Health Organization; 2010. Valenzuela PL, Carrera-Bastos P, Gálvez BG, Ruiz-Hurtado G, Ordovas JM, Ruilope LM, et al. Lifestyle interventions for the prevention and treatment of hypertension. Nat Rev Cardiol. 2021;18:251–75. Article  CAS  PubMed  Google Scholar  Li Y, Schoufour J, Wang DD, Dhana K, Pan A,…

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Lifestyle scores and their potential to estimate the risk of multiple non-communicable disease-related endpoints: a systematic review | BMC Public Health

Lifestyle scores and their potential to estimate the risk of multiple non-communicable disease-related endpoints: a systematic review | BMC Public Health

Allen L. Non-communicable disease funding. Lancet Diabetes Endocrinol. 2017;5(2):92. Article  PubMed  Google Scholar  Vos T, Lim S S, Abbafati C, et al. Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the global burden of disease study 2019. Lancet. 2020;396(10258):1204–22. Lehtisalo J, Rusanen M, Solomon A, Antikainen…

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The effectiveness of a 10-week family-focused e-Health healthy lifestyle program for school-aged children with overweight or obesity: a randomised control trial | BMC Public Health

The effectiveness of a 10-week family-focused e-Health healthy lifestyle program for school-aged children with overweight or obesity: a randomised control trial | BMC Public Health

Pinhas-Hamiel O, Hamiel U, Bendor CD, Bardugo A, Twig G, Cukierman-Yaffe T. The global spread of severe obesity in toddlers, children, and adolescents: A systematic review and meta-analysis. Obes Facts. 2022;15(2):118–34. Article  PubMed  PubMed Central  Google Scholar  Spinelli A, Buoncristiano M, Kovacs VA, Yngve A, Spiroski I, Obreja G, et al. Prevalence of severe obesity…

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Developing and assessing the “MultiLife” intervention: a mobile health-based lifestyle toolkit for cardiometabolic multimorbidity in diabetes and hypertension management – a type 1 hybrid effectiveness-implementation trial protocol | BMC Public Health

Developing and assessing the “MultiLife” intervention: a mobile health-based lifestyle toolkit for cardiometabolic multimorbidity in diabetes and hypertension management – a type 1 hybrid effectiveness-implementation trial protocol | BMC Public Health

Our protocol adheres to the Standard Protocol Items: Recommendations for Interventional Trials (SPIRIT) guidelines, with the completed SPIRIT checklist available in Supplementary file S1 [31]. The trial is registered with the Clinical Trial Registry of India [(CTRI/2024/10/074559) (https://www.ctri.nic.in/Clinicaltrials/login.php)]. Study design We will conduct a two-arm, parallel-group, community-based, multi-centre, cluster randomized controlled trial with a 1:1 allocation…

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The impact of early adversity on later life health, lifestyle, and cognition | BMC Public Health

The impact of early adversity on later life health, lifestyle, and cognition | BMC Public Health

ELSA dataset In the ELSA dataset, most of the early adversities (with the exception of sexual assault, which was not associated with cognition, and deprivation, which was only associated with cognition) were associated with BMI, subjective health, depressive symptoms, smoking status, alcohol consumption, and cognition (i.e., immediate memory and verbal fluency). Specifically, in line with…

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Health promoting resources and lifestyle factors among higher education students in healthcare and social work programmes: a survey with a longitudinal multicentre design | BMC Public Health

Associations of an overall healthy lifestyle with the risk of metabolic dysfunction-associated fatty liver disease | BMC Public Health

Study population The UK Biobank study is a prospective cohort of more than 500,000 adults aged 37–73 years recruited from 22 assessment centers across the UK between 2006 and 2010 (instance 0) [36]. At enrollment, participants completed a questionnaire, a verbal interview, and a physical assessment for anthropomorphic data and vital signs. The blood specimens…

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Health promoting resources and lifestyle factors among higher education students in healthcare and social work programmes: a survey with a longitudinal multicentre design | BMC Public Health

Health promoting resources and lifestyle factors among higher education students in healthcare and social work programmes: a survey with a longitudinal multicentre design | BMC Public Health

World Health Organization. Promoting health: guide to national implementation of the Shanghai Declaration. Geneva: World Health Organization; 2016. Google Scholar  McCuaig L, Quennerstedt M, Macdonald D. A salutogenic, strengths-based approach as a theory to guide HPE curriculum change. Asia-Pacific J Health Sport Phys Educ. 2013;4(2):109–25. Article  Google Scholar  Mittelmark MB, Bull T. The salutogenic model…

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Using interpretable machine learning methods to identify the relative importance of lifestyle factors for overweight and obesity in adults: pooled evidence from CHNS and NHANES | BMC Public Health

Using interpretable machine learning methods to identify the relative importance of lifestyle factors for overweight and obesity in adults: pooled evidence from CHNS and NHANES | BMC Public Health

Apovian CM, Obesity: definition, comorbidities, causes, and Burden. Am J Managed Care. 2016;22:s176–85. World Health Organization. Obesity and its root causes. https://www.who.int/india/Campaigns/world-obesity-day. Accessed 05 Mar 2024. Ng M, Fleming T, Robinson M, Thomson B, Graetz N, Margono C, et al. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013:…

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Exploring the association between lifestyle and cardiovascular health metrics and HPV infection risk: insights from the National Health and Nutrition Examination Survey 2005–2016 data | BMC Public Health

Exploring the association between lifestyle and cardiovascular health metrics and HPV infection risk: insights from the National Health and Nutrition Examination Survey 2005–2016 data | BMC Public Health

Study design and population This study employed a cross-sectional design using data from the NHANES, a large-scale survey conducted by the National Center for Health Statistics (NCHS). We analyzed data from seven cycles collected between 2005 and 2016. The NHANES uses a complex, multistage probability sampling design to select participants representative of the civilian, non-institutionalized…

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