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| Pàgina inicial > Articles > Articles publicats > Country-specific key lifestyle factors and health outcomes for resource allocation in the general population : |
(University of Hong Kong) (University of Hong Kong) (University of Hong Kong) (Hong Kong Metropolitan University) (University of Hong Kong) (University of Hong Kong) (Johns Hopkins University) (University of Wollongong) (East China University of Science and Technology) (University of British Columbia) (University of Hong Kong) (University of Hong Kong) (Chinese University of Hong Kong) (Majmaah University (Al Majmaah, Aràbia Saudí)) (Majmaah University (Al Majmaah, Aràbia Saudí). Department of Family and Community Medicine) (Al-Azhar University. Department of Internal Medicine) (Majmaah University (Al Majmaah, Aràbia Saudí). Department of Urology) (JSS Medical College) (Chulalongkorn Business School. Department of Statistics) (Hong Kong Metropolitan University) (International Islamic University) (Centro Escolar University (Manila, Filipines)) (Beirut Arab University) (Fondazione Gruppo Italiano Malattie Ematologiche dell'Adulto) (Beirut Arab University. Department of Psychology) (Al-Azhar University (Cairo, Egipte). Department of hepatogastroenterology and infectious diseases) (Universidad de Guadalajara (Mèxic)) (Universitat Autònoma de Barcelona. Departament de Psicologia Bàsica, Evolutiva i de l'Educació) (Ladoke Akintola University of Technology) (National University of Singapore) (University of Kwazulu-Natal. Department of Optometry) (Johns Hopkins University) (Ecove (Ghaziabad, India)) (Pontificia Universidad Católica de Valparaíso) (Comisión Nacional de Arbitraje Médico (Mèxic). Departamento de Investigación) (University of Rwanda) (Universidade Estadual Paulista "Júlio de Mesquita Filho". Departamento de Psicoterapia) (Comisión Nacional de Arbitraje Médico (Mèxic). Departamento de Investigación) (Benghazi University. Pharmacology and Toxicology Department) (University of Rwanda) (International Islamic University) (Alzaiem Alazhari University) (Johns Hopkins University) (Macao Polytechnic University) (Universidad Nacional Autónoma de México) (Chulalongkorn Business School) (Majmaah University. Department of Family and Community Medicine) (Nam Dinh University of Nursing) (University of Rwanda) (Chulalongkorn Business School. Department of Statistics) (Cairo University. Medical-surgical Nursing Department)
| Data: | 2025 |
| Descripció: | 18 pàg. |
| Resum: | We aimed to identify the central lifestyle, the most impactful among lifestyle factor clusters; the central health outcome, the most impactful among health outcome clusters; and the bridge lifestyle, the most strongly connected to health outcome clusters, across 29 countries to optimise resource allocation for local holistic health improvements. From July 2020 to August 2021, we surveyed 16 461 adults across 29 countries who self-reported changes in 18 lifestyle factors and 13 health outcomes due to the pandemic. Three networks were generated by network analysis for each country: lifestyle, health outcome, and bridge networks. We identified the variables with the highest bridge expected influence as central or bridge variables. Network validation included nonparametric and case-dropping subset bootstrapping, and centrality difference tests confirmed that the central or bridge variables had significantly higher expected influence than other variables within the same network. Among 87 networks, 75 were validated with correlation-stability coefficients above 0. 25. Nine central lifestyle types were identified in 28 countries: cooking at home (in 11 countries), food types in daily meals (in one country), less smoking tobacco (in two countries), less alcohol consumption (in two countries), less duration of sitting (in three countries), less consumption of snacks (in five countries), less sugary drinks (in five countries), having a meal at home (in two countries), taking alternative medicine or natural health products (in one country). Six central health outcomes were noted among 28 countries: social support received (in three countries), physical health (in one country), sleep quality (in four countries), quality of life (in seven countries), less mental burden (in three countries), less emotional distress (in 13 countries). Three bridge lifestyles were identified in 19 countries: food types in daily meals (in one country), cooking at home (in one country), overall amount of exercise (in 17 countries). The centrality difference test showed the central and bridge variables had significantly higher centrality indices than others in their networks (P < 0. 05). In 29 countries, cooking at home, less emotional distress, and overall amount of exercise emerged as common central lifestyle, health outcome, and bridge lifestyle factors, respectively. However, notable regional variations necessitate tailored interventions and resource allocations to effectively address unique local key variables and promote holistic health in each locale. The study's cross-sectional design and self-reported data may limit generalisability, emphasising the need for cautious interpretation and further longitudinal research. |
| Drets: | Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.  |
| Llengua: | Anglès |
| Document: | Article ; recerca ; Versió publicada |
| Matèria: | Global ; Across-country comparisons ; Lifestyle ; Health outcomes ; Network analysis |
| Publicat a: | Journal of Global Health, Vol. 15 (january 2025) , art. 04011, ISSN 2047-2986 |
