详细信息

Country-specific key lifestyle factors and health outcomes for resource allocation in the general population: a network analysis across 29 countries  ( SCI-EXPANDED收录)  

文献类型:期刊文献

英文题名:Country-specific key lifestyle factors and health outcomes for resource allocation in the general population: a network analysis across 29 countries

作者:Li, Jiaying[1,2];Fong, Daniel Yee Tak[1];Lok, Kris Yuet Wan[1];Wong, Janet Yuen Ha[3];Ho, Mandy Man[1];Choi, Edmond Pui Hang[1];Pandian, Vinciya[2];Davidson, Patricia M.[4];Duan, Wenjie[5];Tarrant, Marie[6];Lee, Jung Jae[1];Lin, Chia-Chin[1];Akingbade, Oluwadamilare[7,8];Alabdulwahhab, Khalid M.[9];Ahmad, Mohammad Shakil[10];Alboraie, Mohamed[11];Alzahrani, Meshari A.[12];Bilimale, Anil S.[13];Boonpatcharanon, Sawitree[14];Byiringiro, Samuel[4];Hasan, Muhammad Kamil Che[15];Schettini, Luisa Clausi[16];Corzo, Walter[17];De Leon, Josephine M.[18];De Leon, Anjanette S.[18];Deek, Hiba[19];Efficace, Fabio[20,21];El Nayal, Mayssah A.[22];El-Raey, Fathiya[23];Ensaldo-Carrasco, Eduardo[24];Escotorin, Pilar[25];Fadodun, Oluwadamilola Agnes[26];Fawole, Israel Opeyemi[27];Goh, Yong-Shian Shawn[28];Irawan, Devi[29];Khan, Naimah Ebrahim[30];Koirala, Binu[2];Krishna, Ashish[31];Kwok, Cannas;Le, Tung Thanh[32];Leal, Daniela Giambruno[33];Lezana-Fernandez, Miguel angel[34];Manirambona, Emery[35];Mantoani, Leandro Cruz[36];Meneses-Gonzalez, Fernando[34];Mohamed, Iman Elmahdi[37];Mukeshimana, Madeleine[38];Nguyen, Chinh Thi Minh[32];Nguyen, Huong Thi Thanh[32];Nguyen, Khanh Thi[32];Nguyen, Son Truong[32];Nurumal, Mohd Said[15];Nzabonimana, Aimable[39];Omer, Nagla Abdelrahim Mohamed Ahmed[40];Ogungbe, Oluwabunmi[2];Poon, Angela Chiu Yin[41];Resendiz-Rodriguez, Areli[42];Puang-Ngern, Busayasachee[14];Sagun, Ceryl G.[18];Shaik, Riyaz Ahmed[10];Shankar, Nikhil Gauri[43];Sommer, Kathrin[20,21];Toro, Edgardo[33];Tran, Hanh Thi Hong[32];Urgel, Elvira L.[18];Uwiringiyimana, Emmanuel[35];Vanichbuncha, Tita[14];Youssef, Naglaa[44]

机构:[1]Univ Hong Kong, Li Ka Shing Fac Med, Sch Nursing, Pokfulam, 5-F Acad Bldg,3 Sassoon Rd, Hong Kong, Peoples R China;[2]Johns Hopkins Univ, Sch Nursing, Baltimore, MD USA;[3]Hong Kong Metropolitan Univ, Sch Nursing & Hlth Studies, Hong Kong, Peoples R China;[4]Univ Wollongong, Wollongong, Australia;[5]East China Univ Sci & Technol, Dept Social Work, Shanghai, Peoples R China;[6]Univ British Columbia, Sch Nursing, Kelowna, BC, Canada;[7]Chinese Univ Hong Kong, Nethersole Sch Nursing, Hong Kong, Peoples R China;[8]Inst Nursing Res, Osogbo, Osun State, Nigeria;[9]Majmaah Univ, Coll Med, Al Majmaah, Saudi Arabia;[10]Majmaah Univ, Dept Family & Community Med, Coll Med, Majmaah, Saudi Arabia;[11]Al Azhar Univ, Dept Internal Med, Cairo, Egypt;[12]Majmaah Univ, Coll Med, Dept Urol, Al Majmaah, Saudi Arabia;[13]JSSAHER, JSS Med Coll, Sch Publ Hlth, Mysuru, India;[14]Chulalongkorn Univ, Dept Stat, Bangkok, Thailand;[15]Int Islamic Univ, Kulliyyah Nursing, Kuantan, Malaysia;[16]Italian Assoc Leukaemia Lymphoma & Myeloma, Rome, Italy;[17]ActionAid Guatemala, Guatemala City, Guatemala;[18]Ctr Escolar Univ, Sch Nursing, Manila, Philippines;[19]Beirut Arab Univ, Fac Hlth Sci, Nursing Dept, Beirut, Lebanon;[20]Italian Grp Adult Hematol Dis, Data Ctr, Rome, Italy;[21]Italian Grp forAdult Hematol Dis, Hlth Outcomes Res Unit, Rome, Italy;[22]Beirut Arab Univ, Beirut, Lebanon;[23]Al Azhar Univ, Damietta Fac Med, Dept Hepatogastroenterol & Infect Dis, Cairo, Egypt;[24]Univ Guadalajara, Ergon Res Ctr, Guadalajara, Jalisco, Mexico;[25]Autonomous Univ Barcelona, Dept Basic Dev & Educ Psychol, Lab Appl Prosocial Res, Barcelona, Spain;[26]Univ Lethbridge, Fac Hlth Sci, Lethbridge, AB, Canada;[27]Ladoke Akintola Univ Technol, Fac Nursing, Ogbomosho, Oyo, Nigeria;[28]Natl Univ Singapore Hosp, Alice Lee Ctr Nursing Studies, Singapore, Singapore;[29]Generasi Hijau Indonesia, Bogor, Indonesia;[30]Univ KwaZulu Natal, Dept Optometry, Durban, South Africa;[31]Ecove, Ghaziabad, India;[32]Nam Dinh Univ Nursing, Nam Dinh, Vietnam;[33]Pontificia Univ Catolica Valparaiso, Sch Ind Engn, Valparaiso, Chile;[34]Res Dept, Triovance, Mexico City, Mexico;[35]Univ Rwanda, Coll Med & Hlth Sci, Kigali, Rwanda;[36]Sao Paulo State Univ UNESP, Fac Sci & Technol, Dept Physiotherapy, Presidente Prudente, SP, Brazil;[37]Benghazi Univ, Pharmacol & Toxicol Dept, Fac Pharm, Benghazi, Libya;[38]Univ Rwanda, Coll Med & Hlth Sci, Sch Nursing & Midwifery, Kigali, Rwanda;[39]Univ Rwanda, Coll Arts & Social Sci, Ctr Language Enhancement, Huye, Rwanda;[40]Univ Khartoum, Fac Vet Med, Khartoum 1334, Khartoum North, Sudan;[41]Macao Polytech Univ, Fac Hlth Sci & Sports, Macau, Peoples R China;[42]Univ Nacl Autonoma Mexico, Mexico City, Mexico;[43]Wrexham Maelor Hosp, Dept Cardiol, Wrexham, Wales;[44]Cairo Univ, Fac Nursing, Med Surg Nursing Dept, Cairo, Egypt

年份:2025

卷号:15

外文期刊名:JOURNAL OF GLOBAL HEALTH

收录:;WOS:【SSCI(收录号:WOS:001406483400001),SCI-EXPANDED(收录号:WOS:001406483400001)】;

语种:英文

外文关键词:global; across-country comparisons; lifestyle; health outcomes; network analysis

摘要:Background 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. Methods 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. Results 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). Conclusions 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.

参考文献:

正在载入数据...

版权所有©华东理工大学 重庆维普资讯有限公司 渝B2-20050021-7 
渝公网安备 50019002500408号 违法和不良信息举报中心