Health lifestyles of six Zhiguo ethnic groups in China: a latent class analysis.


Journal

BMC public health
ISSN: 1471-2458
Titre abrégé: BMC Public Health
Pays: England
ID NLM: 100968562

Informations de publication

Date de publication:
22 Aug 2024
Historique:
received: 14 08 2023
accepted: 09 08 2024
medline: 23 8 2024
pubmed: 23 8 2024
entrez: 22 8 2024
Statut: epublish

Résumé

Zhiguo ethnic groups, commonly known as "the directly-entering-socialism ethnic groups", represent Chinese ethnic minorities who have undergone a unique social development trajectory by transforming directly from primitive societies to the socialist stage. In recent decades, significant lifestyle transformations have occurred among Zhiguo ethnic groups. Understanding their health lifestyles can play a strategic role in China's pursuit of universal health coverage. This study aims to examine patterns of health-related lifestyle among Zhiguo ethnic groups and explore whether sociodemographic features and specific indicators related to health status are associated with particular classes. A cross-sectional study was conducted in Yunnan Province, China, from July to December 2022. Stratified random sampling method was employed to recruit residents belonging to six Zhiguo ethnic groups aged between 15 and 64. Latent class analysis was performed to identify clusters of health-related behaviors within each ethnic group. Logistic regression was utilized to determine the predictors of health lifestyles. A total of 1,588 individuals from the Zhiguo ethnic groups participated in this study. Three latent classes representing prevalent health lifestyles among the Zhiguo ethnic groups were identified: "unhealthy lifestyle" (31.80%), "mixed lifestyle" (57.37%), and "healthy lifestyle" (10.83%). In the overall population, individuals belonging to the "healthy lifestyle" group exhibited a higher likelihood of being non-farmers (OR: 2.300, 95% CI: 1.347-3.927), women (OR: 21.459, 95% CI: 13.678-33.667), married individuals (OR: 1.897, 95% CI: 1.146-3.138), and those residing within a walking distance of less than 15 min from the nearest health facility (OR: 2.133, 95% CI: 1.415-3.215). Conversely, individuals in the age cohorts of 30-39 years (OR: 0.277, 95% CI: 0.137-0.558) and 40-49 years (OR: 0.471, 95% CI: 0.232-0.958) showed a decreased likelihood of adopting a healthy lifestyle. A considerable proportion of the Zhiguo ethnic groups have not adopted healthy lifestyles. Targeted interventions aimed at improving health outcomes within these communities should prioritize addressing the clustering of unfavorable health behaviors, with particular emphasis on single male farmers aged 30-49, and expanding healthcare coverage for individuals residing more than 15 min away from accessible facilities.

Sections du résumé

BACKGROUND BACKGROUND
Zhiguo ethnic groups, commonly known as "the directly-entering-socialism ethnic groups", represent Chinese ethnic minorities who have undergone a unique social development trajectory by transforming directly from primitive societies to the socialist stage. In recent decades, significant lifestyle transformations have occurred among Zhiguo ethnic groups. Understanding their health lifestyles can play a strategic role in China's pursuit of universal health coverage. This study aims to examine patterns of health-related lifestyle among Zhiguo ethnic groups and explore whether sociodemographic features and specific indicators related to health status are associated with particular classes.
METHODS METHODS
A cross-sectional study was conducted in Yunnan Province, China, from July to December 2022. Stratified random sampling method was employed to recruit residents belonging to six Zhiguo ethnic groups aged between 15 and 64. Latent class analysis was performed to identify clusters of health-related behaviors within each ethnic group. Logistic regression was utilized to determine the predictors of health lifestyles.
RESULTS RESULTS
A total of 1,588 individuals from the Zhiguo ethnic groups participated in this study. Three latent classes representing prevalent health lifestyles among the Zhiguo ethnic groups were identified: "unhealthy lifestyle" (31.80%), "mixed lifestyle" (57.37%), and "healthy lifestyle" (10.83%). In the overall population, individuals belonging to the "healthy lifestyle" group exhibited a higher likelihood of being non-farmers (OR: 2.300, 95% CI: 1.347-3.927), women (OR: 21.459, 95% CI: 13.678-33.667), married individuals (OR: 1.897, 95% CI: 1.146-3.138), and those residing within a walking distance of less than 15 min from the nearest health facility (OR: 2.133, 95% CI: 1.415-3.215). Conversely, individuals in the age cohorts of 30-39 years (OR: 0.277, 95% CI: 0.137-0.558) and 40-49 years (OR: 0.471, 95% CI: 0.232-0.958) showed a decreased likelihood of adopting a healthy lifestyle.
CONCLUSIONS CONCLUSIONS
A considerable proportion of the Zhiguo ethnic groups have not adopted healthy lifestyles. Targeted interventions aimed at improving health outcomes within these communities should prioritize addressing the clustering of unfavorable health behaviors, with particular emphasis on single male farmers aged 30-49, and expanding healthcare coverage for individuals residing more than 15 min away from accessible facilities.

Identifiants

pubmed: 39174913
doi: 10.1186/s12889-024-19743-9
pii: 10.1186/s12889-024-19743-9
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2279

Subventions

Organisme : Science and Technology Plan Project of Science and Technology Department of Yunnan Province
ID : 202201AY070001-024
Organisme : Science and Technology Plan Project of Science and Technology Department of Yunnan Province
ID : 202201AY070001-024
Organisme : Science and Technology Plan Project of Science and Technology Department of Yunnan Province
ID : 202201AY070001-024
Organisme : Yunnan High-level Talent Support Plan
ID : YNQR-QNRC-2018-140
Organisme : Provincial Talent Program for Young Scholar and Technical Reserve Personnel
ID : 202305AC160046

Informations de copyright

© 2024. The Author(s).

Références

Cockerham W, Rütten A, Abel T. Conceptualizing Contemporary Health lifestyles: moving Beyond Weber. Sociol Q. 1997;38(2):321–42.
doi: 10.1111/j.1533-8525.1997.tb00480.x
Mollborn S, Modile A. Dedicated to being healthy: Young adults’ deployments of health-focused cultural capital. Soc Sci Med. 2022;293(114648). https://doi.org/10.1016/j.socscimed.2021.114648 .
Mokdad AH, Marks JS, Stroup DF, Gerberding JL. Actual causes of death in the United States, 2000. JAMA. 2004;291(10):1238–45. https://doi.org/10.1001/jama.291.10.1238 .
doi: 10.1001/jama.291.10.1238 pubmed: 15010446
Johnson NB, Hayes LD, Brown K, Hoo EC, Ethier KA. CDC National Health Report: leading causes of morbidity and mortality and associated behavioral risk and protective factors–United States, 2005–2013. MMWR Supplements. 2014;63(4):3–27.
pubmed: 25356673
Reiner M, Niermann C, Jekauc D, Woll A. Long-term health benefits of physical activity–a systematic review of longitudinal studies. BMC Public Health. 2013;13:813. https://doi.org/10.1186/1471-2458-13-813 .
doi: 10.1186/1471-2458-13-813 pubmed: 24010994 pmcid: 3847225
Lawrence EM, Mollborn S, Hummer RA. Health lifestyles across the transition to adulthood: Implications for health. Social science & medicine (1982). 2017; 193:23–32. https://doi.org/10.1016/j.socscimed.2017.09.041
Thomas Craig KJ, Morgan LC, Chen CH, Michie S, Fusco N, Snowdon JL, Scheufele E, Gagliardi T, Sill S. Systematic review of context-aware digital behavior change interventions to improve health. Translational Behav Med. 2021;11(5):1037–48. https://doi.org/10.1093/tbm/ibaa099 .
doi: 10.1093/tbm/ibaa099
Kazibwe J, Tran PB, Annerstedt KS. The household financial burden of non-communicable diseases in low- and middle-income countries: a systematic review. Health Res Policy Syst. 2021;19(1):96. https://doi.org/10.1186/s12961-021-00732-y .
doi: 10.1186/s12961-021-00732-y pubmed: 34154609 pmcid: 8215836
Gheorghe A, Griffiths U, Murphy A, Legido-Quigley H, Lamptey P, Perel P. The economic burden of cardiovascular disease and hypertension in low- and middle-income countries: a systematic review. BMC Public Health. 2018;18(1):975. https://doi.org/10.1186/s12889-018-5806-x .
doi: 10.1186/s12889-018-5806-x pubmed: 30081871 pmcid: 6090747
Seabrook JA, Avison WR. Socioeconomic status and cumulative disadvantage processes across the life course: implications for health outcomes. Can Rev Sociol = Revue canadienne de sociologie. 2012;49(1):50–68. https://doi.org/10.1111/j.1755-618x.2011.01280.x .
doi: 10.1111/j.1755-618x.2011.01280.x pubmed: 22586837
Nudelman G, Yakubovich S. Patterns of health lifestyle behaviours: findings from a representative sample of Israel. BMC Public Health. 2022;22(1):2099. https://doi.org/10.1186/s12889-022-14535-5 .
doi: 10.1186/s12889-022-14535-5 pubmed: 36384549 pmcid: 9670447
Duncan MJ, Oftedal S, Rebar AL, Murawski B, Short CE, Rayward AT, Vandelanotte C. Patterns of physical activity, sitting time, and sleep in Australian adults: a latent class analysis. Sleep Health. 2020;6(6):828–34. https://doi.org/10.1016/j.sleh.2020.04.006 .
doi: 10.1016/j.sleh.2020.04.006 pubmed: 32819888
Wang X, Gao H, Xu H. Cluster analysis of unhealthy lifestyles among Elderly adults with prediabetes: a cross-sectional study in Rural China. Diabetes Therapy: Res Treat Educ Diabetes Relat Disorders. 2019;10(5):1935–48. https://doi.org/10.1007/s13300-019-00676-1 .
doi: 10.1007/s13300-019-00676-1
Chen Y, Wang P, He Y, Jiang F, Liu H, Liu Y, Liu T, Tang YL, Zhu J. Gender differences in the association between lifestyle behaviors and mental health among psychiatrists in China. J Affect Disord. 2022;318:196–203. https://doi.org/10.1016/j.jad.2022.08.089 .
doi: 10.1016/j.jad.2022.08.089 pubmed: 36041580
Nasreddine L, Hwalla N, Saliba A, Akl C, Naja F. Prevalence and Correlates of Preschool Overweight and Obesity amidst the Nutrition Transition: findings from a National Cross-sectional Study in Lebanon. Nutrients. 2017;9(3). https://doi.org/10.3390/nu9030266 .
Sigblad F, Savela M, Okenwa Emegwa L. Managers’ perceptions of factors affecting employees’ uptake of Workplace Health Promotion (WHP) offers. Front Public Health. 2020;8:145. https://doi.org/10.3389/fpubh.2020.00145 .
doi: 10.3389/fpubh.2020.00145 pubmed: 32432071 pmcid: 7214614
McCormack L, Wey H, Meendering J, Specker B. Differences in physical activity and Diet patterns between non-rural and rural adults. Nutrients. 2018;10(11). https://doi.org/10.3390/nu10111601 .
Skalamera J, Hummer RA. Educational attainment and the clustering of health-related behavior among U.S. young adults. Prev Med. 2016;84:83–9. https://doi.org/10.1016/j.ypmed.2015.12.011 .
doi: 10.1016/j.ypmed.2015.12.011 pubmed: 26740348
Gor B, Nepal VP, Dongardive R, Dorai VK, Pande M. Is Socioeconomic Advantage Associated with Positive Health Behaviors and Health outcomes among Asian indians? Health Serv Res Managerial Epidemiol. 2019;6(2333392819830371). https://doi.org/10.1177/2333392819830371 .
Bae SG, Kim JY, Kim KY, Park SW, Bae J, Lee WK. Changes in dietary behavior among adolescents and their association with government nutrition policies in Korea, 2005–2009. Journal of preventive medicine and public health = Yebang. Uihakhoe Chi. 2012;45(1):47–59. https://doi.org/10.3961/jpmph.2012.45.1.47 .
doi: 10.3961/jpmph.2012.45.1.47
Schuh MR, Bush ML. Evaluating Equity Through the Social Determinants of Hearing Health. Ear and hearing. 2022; 43(Suppl 1):15s-22s. https://doi.org/10.1097/aud.0000000000001188
Pittman DM, Cho Kim S, Hunter CD, Obasi EM. The role of minority stress in second-generation black emerging adult college students’ high-risk drinking behaviors. Cult Divers Ethn Minor Psychol. 2017;23(3):445–55. https://doi.org/10.1037/cdp0000135 .
doi: 10.1037/cdp0000135
Wang S, Li S. Exploring Generational Differences of British Ethnic Minorities in smoking behavior, frequency of Alcohol Consumption, and Dietary Style. Int J Environ Res Public Health. 2019;16(12). https://doi.org/10.3390/ijerph16122241 .
Yang S, Liu S, Wang Y, Wan H, Zhao D, Li Y, Chen SS, Wu Y, Dustin L, Azen S, et al. High blood pressure in Chinese ethnic minorities: report from rural Yunnan Province. Am J Hypertens. 2011;24(11):1209–14. https://doi.org/10.1038/ajh.2011.127 .
doi: 10.1038/ajh.2011.127 pubmed: 21833039
Cheng X. Social Development and modernization of the ‘Zhi Guo’ ethnic group in Yunnan. Kunming: Yunnan People’s Publishing House; 2002.
Jiang M, Xiong L, Yang M. The Backward and Foreword of the Development Research on Yunnan Border’s Zhiguo Nationality. Bord Econ Cult. 2011(01):171–3.
You W, Zeng Y. On the Development Drive of Minority Nationalities-A Study based on the poverty alleviation practice of directly-entering-socialism ethnic groups in Yunnan. Social Sci Yunnan. 2020(06):117–24.
Spring B, Moller AC, Coons MJ. Multiple health behaviours: overview and implications. Journal of public health (Oxford, England). 2012; 34 Suppl 1(Suppl 1):i3–10. https://doi.org/10.1093/pubmed/fdr111
Saint Onge JM, Krueger PM. Health Lifestyle behaviors among U.S. adults. SSM - Popul Health. 2017;3:89–98. https://doi.org/10.1016/j.ssmph.2016.12.009 .
Hoogstoel F, Samadoulougou S, Lorant V, Kirakoya-Samadoulougou F. A latent class analysis of Health lifestyles in relation to suicidality among adolescents in Mauritius. Int J Environ Res Public Health. 2021;18(13). https://doi.org/10.3390/ijerph18136934 .
Oftedal S, Vandelanotte C, Duncan MJ. Patterns of Diet, physical activity, sitting and Sleep are Associated with Socio-Demographic, behavioural, and Health-Risk indicators in adults. Int J Environ Res Public Health. 2019;16(13). https://doi.org/10.3390/ijerph16132375 .
Rabel M, Laxy M, Thorand B, Peters A, Schwettmann L, Mess F. Clustering of Health-related behavior patterns and demographics. Results from the Population-based KORA S4/F4 cohort study. Front Public Health. 2018;6:387. https://doi.org/10.3389/fpubh.2018.00387 .
doi: 10.3389/fpubh.2018.00387 pubmed: 30723712
Statistics YPBo. Yunnan statistical yearbook. In., edn.: China Statistics; 2022. p. 357.
Chew LD, Bradley KA, Boyko EJ. Brief questions to identify patients with inadequate health literacy. Fam Med. 2004;36(8):588–94.
pubmed: 15343421
Willens DE, Kripalani S, Schildcrout JS, Cawthon C, Wallston K, Mion LC, Davis C, Danciu I, Rothman RL, Roumie CL. Association of brief health literacy screening and blood pressure in primary care. J Health Communication. 2013;18(1):129–42. https://doi.org/10.1080/10810730.2013.825663 .
doi: 10.1080/10810730.2013.825663 pubmed: 24093351
Zhang L, Bi X, Ding Z. Health lifestyles and Chinese oldest-old’s subjective well-being-evidence from a latent class analysis. BMC Geriatr. 2021;21(1):206. https://doi.org/10.1186/s12877-021-02121-0 .
doi: 10.1186/s12877-021-02121-0 pubmed: 33761879 pmcid: 7992951
Ghazali SM, Seman Z, Cheong KC, Hock LK, Manickam M, Kuay LK, Yusoff AF, Mustafa FI, Mustafa AN. Sociodemographic factors associated with multiple cardiovascular risk factors among Malaysian adults. BMC Public Health. 2015;15:68. https://doi.org/10.1186/s12889-015-1432-z .
doi: 10.1186/s12889-015-1432-z pubmed: 25636327 pmcid: 4319230
Wang X, Li W, Song F, Wang L, Fu Q, Cao S, Gan Y, Zhang W, Yue W, Yan F, et al. Carotid atherosclerosis detected by Ultrasonography: A National Cross-sectional Study. J Am Heart Association. 2018;7(8). https://doi.org/10.1161/jaha.118.008701 .
Wang A, Liu J, Li C, Gao J, Li X, Chen S, Wu S, Ding H, Fan H, Hou S. Cumulative exposure to high-sensitivity C-Reactive protein predicts the risk of Cardiovascular Disease. J Am Heart Association. 2017;6(10). https://doi.org/10.1161/jaha.117.005610 .
Ahmad K, Keramat SA, Ormsby GM, Kabir E, Khanam R. Clustering of lifestyle and health behaviours in Australian adolescents and associations with obesity, self-rated health and quality of life. BMC Public Health. 2023;23(1):847. https://doi.org/10.1186/s12889-023-15724-6 .
doi: 10.1186/s12889-023-15724-6 pubmed: 37165347 pmcid: 10170850
Hruby A, Manson JE, Qi L, Malik VS, Rimm EB, Sun Q, Willett WC, Hu FB. Determinants and consequences of obesity. Am J Public Health. 2016;106(9):1656–62. https://doi.org/10.2105/ajph.2016.303326 .
doi: 10.2105/ajph.2016.303326 pubmed: 27459460 pmcid: 4981805
Prevention CCfDCa,Chronic Disease and Nutrition Surveillance in Chinese Adults. (2018)-Workbook, (2020-10-21), [2024-05-26], https://ncncd.chinacdc.cn/jcysj/jcsj/202010/t20201021_222263.htm
Lubke G, Muthén BO. Performance of factor mixture models as a function of model size, Covariate effects, and class-specific parameters. Struct Equation Modeling: Multidisciplinary J. 2007;14(1):26–47. https://doi.org/10.1080/10705510709336735 .
doi: 10.1080/10705510709336735
Lanza ST, Collins LM, Lemmon DR, Schafer JL. PROC LCA: a SAS Procedure for Latent Class Analysis. Structural equation modeling: a multidisciplinary journal. 2007; 14(4):671–94. https://doi.org/10.1080/10705510701575602
Li G, Liu J, Wen H, Shen Q. Changes in Depression among adolescents: a multiple-Group Latent Profile Transition Analysis. Psychol Res Behav Manage. 2023;16:319–32. https://doi.org/10.2147/prbm.S390116 .
doi: 10.2147/prbm.S390116
Cao XL, Wang SB, Zhong BL, Zhang L, Ungvari GS, Ng CH, Li L, Chiu HF, Lok GK, Lu JP, et al. The prevalence of insomnia in the general population in China: a meta-analysis. PLoS ONE. 2017;12(2):e0170772. https://doi.org/10.1371/journal.pone.0170772 .
doi: 10.1371/journal.pone.0170772 pubmed: 28234940 pmcid: 5325204
Rabia M, Knäuper B, Miquelon P. The eternal quest for optimal balance between maximizing pleasure and minimizing harm: the compensatory health beliefs model. Br J Health Psychol. 2006;11(Pt 1):139–53. https://doi.org/10.1348/135910705x52237 .
doi: 10.1348/135910705x52237 pubmed: 16480560
Haug S, Schaub MP, Salis Gross C, John U, Meyer C. Predictors of hazardous drinking, tobacco smoking and physical inactivity in vocational school students. BMC Public Health. 2013;13:475. https://doi.org/10.1186/1471-2458-13-475 .
doi: 10.1186/1471-2458-13-475 pubmed: 23672294 pmcid: 3658930
Edwardson CL, Gorely T, Pearson N, Atkin A. Sources of activity-related social support and adolescents’ objectively measured after-school and weekend physical activity: gender and age differences. J Phys Act Health. 2013;10(8):1153–8. https://doi.org/10.1123/jpah.10.8.1153 .
doi: 10.1123/jpah.10.8.1153 pubmed: 23223792
Xia L, Jiang F, Rakofsky J, Zhang Y, Zhang K, Liu T, Liu Y, Liu H, Tang YL, Cigarette, Smoking. Health-related behaviors, and Burnout among Mental Health professionals in China: a Nationwide Survey. Front Psychiatry. 2020;11:706. https://doi.org/10.3389/fpsyt.2020.00706 .
doi: 10.3389/fpsyt.2020.00706 pubmed: 32765329 pmcid: 7379885
Wu K, Tang X, Huang Y, Shi Q, Chen Y, Deng R. Analysis on the causes of death among ethnic groups with cross-stage development in Yunnan province,2015–2019. Chin Prev Med. 2021;22(12):920–5. https://doi.org/10.16506/j.1009-6639.2021.12.006 .
doi: 10.16506/j.1009-6639.2021.12.006
Li Y, Schoufour J, Wang DD, Dhana K, Pan A, Liu X, Song M, Liu G, Shin HJ, Sun Q, et al. Healthy lifestyle and life expectancy free of cancer, cardiovascular disease, and type 2 diabetes: prospective cohort study. BMJ (Clinical Res ed). 2020;368:l6669. https://doi.org/10.1136/bmj.l6669 .
doi: 10.1136/bmj.l6669
Liu YL, Lu CW, Shi L, Liou YM, Lee LT, Huang KC. Low intensive lifestyle modification in young adults with metabolic syndrome a community-based interventional study in Taiwan. Medicine. 2015;94(22):e916. https://doi.org/10.1097/md.0000000000000916 .
doi: 10.1097/md.0000000000000916 pubmed: 26039125 pmcid: 4616347
Xue Y, Lu J, Zheng X, Zhang J, Lin H, Qin Z, Zhang C. The relationship between socioeconomic status and depression among the older adults: the mediating role of health promoting lifestyle. J Affect Disord. 2021;285:22–8. https://doi.org/10.1016/j.jad.2021.01.085 .
doi: 10.1016/j.jad.2021.01.085 pubmed: 33621711
Allen L, Williams J, Townsend N, Mikkelsen B, Roberts N, Foster C, Wickramasinghe K. Socioeconomic status and non-communicable disease behavioural risk factors in low-income and lower-middle-income countries: a systematic review. Lancet Global Health. 2017;5(3):e277–89. https://doi.org/10.1016/s2214-109x(17)30058-x .
doi: 10.1016/s2214-109x(17)30058-x pubmed: 28193397
Huang R. Study on Lmproving Health Literacy of Rural Residents in ethnic areas under the healthy China Strategy——Based on the Survey from Enshi Autonomous Prefecture. J Cent China Normal University(Humanities Social Sciences). 2018;57(04):19–26.
Guo W, Xu X, Zhao X, Zhu K, Zhang Y. Alcoholism: a problem that should not be ignored in cultural change: a survey of alcohol consumption in ethnic minority areas. Ethnic Today. 2003;11:40–3.
H LJ, D ZX ZL, Y LP YZ. A study on Alcohol Consumption and Social Change among ethnic minorities in Yunnan. Shanghai Archives Psychiatry. 2010;22(S1):440–3.
Cui Y, Gao Z. Substitution or sublation:a study on the practice of the sinicization of christianity in the nusu people from the perspective of religious relations. Religious Stud. 2022(01):6–13.
Hei Y, Yang L. Localization and ethnic identity of christian faith in Lisu people. World Religious Cultures. 2016;01:23–7.
Zhang S, Liu J, Lo EC, Chu CH. Dental caries status of Bulang preschool children in Southwest China. BMC Oral Health. 2014;14:16. https://doi.org/10.1186/1472-6831-14-16 .
doi: 10.1186/1472-6831-14-16 pubmed: 24593701 pmcid: 3946148
Yap P, Du ZW, Chen R, Zhang LP, Wu FW, Wang J, Wang XZ, Zhou H, Zhou XN, Utzinger J, et al. Soil-transmitted helminth infections and physical fitness in school-aged Bulang children in southwest China: results from a cross-sectional survey. Parasites Vectors. 2012;5:50. https://doi.org/10.1186/1756-3305-5-50 .
doi: 10.1186/1756-3305-5-50 pubmed: 22424138 pmcid: 3379959
Luo XF, Duan S, Duan QX, Pu YC, Yang YC, Wong FY, He N. Prevalence and correlates of alcohol use and subsequent sexual activity among adult males in a rural community of ethnic minorities in Yunnan Province, China. Biosci Trends. 2012;6(6):288–95.
pubmed: 23337788
Cai L, Wang XM, Fan LM, Cui WL, Golden AR. Socioeconomic disparities in prevalence and behaviors of smoking in rural Southwest China. BMC Public Health. 2019;19(1):1117. https://doi.org/10.1186/s12889-019-7455-0 .
doi: 10.1186/s12889-019-7455-0 pubmed: 31412820 pmcid: 6694669
Meng SQ, Cheng JL, Li YY, Yang XQ, Zheng JW, Chang XW, Shi Y, Chen Y, Lu L, Sun Y, et al. Global prevalence of digital addiction in general population: a systematic review and meta-analysis. Clin Psychol Rev. 2022;92:102128. https://doi.org/10.1016/j.cpr.2022.102128 .
doi: 10.1016/j.cpr.2022.102128 pubmed: 35150965
Anderson S, Currie CL, Copeland JL. Sedentary behavior among adults: the role of community belonging. Prev Med Rep. 2016;4:238–41. https://doi.org/10.1016/j.pmedr.2016.06.014 .
doi: 10.1016/j.pmedr.2016.06.014 pubmed: 27413688 pmcid: 4929076

Auteurs

Kaiwen Wu (K)

School of Public Health, Kunming Medical University, Kunming, China.
The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.

Jie Chen (J)

School of Public Health, Kunming Medical University, Kunming, China.

Yan Xiao (Y)

Foreign Languages Department, Kunming Medical University, Kunming, China.

Chaofang Yan (C)

School of Public Health, Kunming Medical University, Kunming, China.

Xiaoju Li (X)

School of Public Health, Kunming Medical University, Kunming, China.

Yuan Huang (Y)

School of Public Health, Kunming Medical University, Kunming, China. yuan.huang@hotmail.com.

Rui Deng (R)

School of Public Health, Kunming Medical University, Kunming, China. dengruirita@126.com.

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