Predictors of post-pandemic COVID-19 preventive behaviors among Hmong Communities in Rural Phayao, Thailand: A PRECEDE–PROCEED study 10.55131/jphd/2026/240319

Main Article Content

Pornpana Somjit
Natnapa Promma
Kritsada Sarndhong

Abstract

This study examined predictors of COVID-19 preventive behaviors among Hmong communities in rural Phayao, Thailand, using the PRECEDE–PROCEED framework. A cross-sectional survey was conducted between November 2022 and March 2023 among adults residing in three Hmong villages. Stratified simple random sampling was applied to household lists, yielding a final sample of 402 respondents. Data were collected using a structured questionnaire comprising sociodemographic variables, five theory-based determinants, and a multi-item preventive behavior scale. The instrument demonstrated strong content validity (item–objective congruence index, IOC = 0.97) and acceptable internal consistency (KR-20 = 0.82 for knowledge; Cronbach’s α = 0.77–0.80 for attitudinal and behavioral scales). A pre-specified hierarchical multiple regression model was fitted. Block 1 (covariates) included gender, age, two education dummies (secondary and post-secondary; reference = ≤primary/no schooling), and monthly household expenditure (per 1,000 THB, approximately 29 USD). After an initial screening, age and secondary education were excluded, and gender, post-secondary education, and expenditure were retained in Block 1. Block 2 contained five determinants (knowledge, attitudes, perceived policy, perceived access to health resources, and exposure to health advice/support) and was estimated using Stepwise selection with Block 1 fixed. The final model explained 30.4% of the variance in COVID-19 preventive behaviors (R² = 0.304, adjusted R² = 0.293, ΔR² = 0.156; p < 0.001). Attitudes, perceived access, exposure to health advice/support, and post-secondary education emerged as significant positive predictors, whereas female gender and higher household expenditure were negatively associated with preventive behaviors; age and secondary education remained statistically non-significant after adjustment.

Article Details

How to Cite
1.
Somjit P, Promma N, Sarndhong K. Predictors of post-pandemic COVID-19 preventive behaviors among Hmong Communities in Rural Phayao, Thailand: A PRECEDE–PROCEED study: 10.55131/jphd/2026/240319. J Public Hlth Dev [internet]. 2026 Aug. 31 [cited 2026 Sep. 4];24(3):272-86. available from: https://he01.tci-thaijo.org/index.php/AIHD-MU/article/view/283975
Section
Original Articles
Author Biographies

Pornpana Somjit, Department of Community Health, School of Public Health, University of Phayao, Phayao, Thailand

Department of Community Health, School of Public Health, University of Phayao, Phayao, Thailand

Natnapa Promma, Department of Community Health, School of Public Health, University of Phayao, Phayao, Thailand

Department of Community Health, School of Public Health, University of Phayao, Phayao, Thailand

Kritsada Sarndhong, Department of Community Health, School of Public Health, University of Phayao, Phayao, Thailand

Department of Community Health, School of Public Health, University of Phayao, Phayao, Thailand

References

World Health Organization. Coronavirus disease (COVID-19) pandemic [Internet]. 2020 [cited 2025 Nov 9]. Available from: https://www.who.int/emergencies/diseases/novel-coronavirus-2019

Guan WJ, Ni ZY, Hu Y, Liang WH, Ou CQ, He JX, et al. Clinical characteristics of coronavirus disease 2019 in China. N Engl J Med. 2020;382:1708-20. doi:10.1056/NEJMoa2002032

Zhou F, Yu T, Du R, Fan G, Liu Y, Liu Z, et al. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. Lancet. 2020;395:1054-62. doi:10.1016/S0140-6736(20)30566-3

Centers for Disease Control and Prevention. How to protect yourself & others [Internet]. 2021 [cited 2025 Nov 9]. Available from: https://www.cdc.gov/covid/prevention/index.html

Green LW, Kreuter MW. Health program planning: an educational and ecological approach. 4th ed. New York: McGraw-Hill; 2005.

Ounsaneha W, Laosee O, Suksaroj TT, Rattanapan C. Preventive behaviors and influencing factors among Thai residents in endemic areas during the highest epidemic peak of the COVID-19 outbreak. Int J Environ Res Public Health. 2023;20:2525. doi:10.3390/ijerph20032525

Galasso V, Pons V, Profeta P, Becher M, Brouard S, Foucault M. Gender differences in COVID-19 attitudes and behavior: panel evidence from eight countries. Proc Natl Acad Sci U S A. 2020;117:27285-91. doi:10.1073/pnas.2012520117

Jayawardana S, Esquivel M, Orešković T, Mossialos E. Gender differences in COVID-19 preventative measures and vaccination rates in the United States: a longitudinal survey analysis. Vaccine. 2024;42:126044. doi:10.1016/j.vaccine.2024.06.012

Pujolar G, Oliver-Anglès A, Vargas I, Vázquez ML. Changes in access to health services during the COVID-19 pandemic: a scoping review. Int J Environ Res Public Health. 2022;19:1749. doi:10.3390/ijerph19031749

Xue B, Wu Y, Zheng X, Xue Y, Dong F, Xiao S, et al. Effects of information sources on public preventive behaviors in health emergencies: evidence from a digital epidemiologic study during the COVID-19 pandemic. Front Public Health. 2022;10:981649. doi:10.3389/fpubh.2022.981649

Callaghan T, Lueck JA, Trujillo KL, Ferdinand AO. Rural and urban differences in COVID-19 prevention behaviors. J Rural Health. 2021;37:287-95. doi:10.1111/jrh.12556

Kitchanapaibul S, Udplong A, Apidechkul T, Tamornpark R, Mulikaburt T, Srichan P, et al. Experiences and expectations regarding COVID-19 prevention and control among hill tribe populations in northern Thailand: a qualitative study. BMC Public Health. 2021;21:1060. doi:10.1186/s12889-021-11145-5

Wongnuch P, Mulikaburt T, Apidechkul T, Srichan P, Tamornpark R, Udplong A, et al. Acceptance and accessibility to the early phase COVID-19 vaccination among healthcare workers and the hill tribe population in Thailand. Sci Rep. 2022;12:11035. doi:10.1038/s41598-022-15149-y

Matichon Online. COVID-19 cluster in Pong District’s Hmong villages; two villages closed, 84 new cases [in Thai] [Internet]. 2021 [cited 2025 Nov 9]. Available from: https://www.matichon.co.th/region/news_3038071

Health Data Center, Ministry of Public Health. Population of Hmong residents in Khun Khuan Subdistrict, Pong District, Phayao Province (FY 2022) [dataset] [Internet]. 2022 [cited 2025 Nov 9]. Available from: https://hhdclampang.anamai.moph.go.th:8080/hhdcdashboard/ethnics/default/mooban?tb=560607

Khun Khuan Health Promoting Hospital. Annual health service report of Khun Khuan Subdistrict. Phayao, Thailand: Khun Khuan Health Promoting Hospital; 2022.

Cohen J, Cohen P, West SG, Aiken LS. Applied multiple regression/correlation analysis for the behavioral sciences. 3rd ed. Mahwah, NJ: Lawrence Erlbaum; 2003.

Field A. Discovering statistics using IBM SPSS statistics. 4th ed. London: Sage; 2013.

Rojpaisarnkit K, Kaewpan W, Pengpid S, Peltzer K. COVID-19 preventive behaviors and influencing factors in the Thai population: a web-based survey. Front Public Health. 2022;10:816464. doi:10.3389/fpubh.2022.816464

He YY, Huang WH, Tung CY. A cross-sectional study applying the PRECEDE model to explore factors influencing epidemic prevention behaviors among preschool educators. BMC Public Health. 2024;24:3486. doi:10.1186/s12889-024-20865-3

Xie YJ, Tian L, Deng Y, Yang L, Cheung K, Li Y, et al. Use of the PRECEDE–PROCEED model in piloting vaccine promotion and infection self-protection: intervention development and effectiveness examination. Vaccines (Basel). 2024;12:979. doi:10.3390/vaccines12090979

Saisanan Na Ayudhaya W, Thanapop C, Wongrith P, Loonlawong S, Laor K, Fajriyah R. Health literacy and preventive behaviors towards COVID-19 among village health volunteers and residents in urban and rural areas of upper southern Thailand. Soc Sci. 2023;12:377. doi:10.3390/socsci12070377

Chamnankit T, Ong-Artborirak P, Boonchieng W, Songsin P, Kingkaew WM, Siladlao S, et al. Health literacy and coronavirus disease 2019 prevention behaviors of village health volunteers in Samut Songkhram Province, Thailand. J Public Health Dev. 2023;21:55-65. doi:10.55131/jphd/2023/210305

Maleelai K, Phudket N, Rittiron P. Behavior to prevent coronavirus disease 2019 (COVID-19) among the elderly with non-communicable disease in rural northeastern Thailand. J Health Sci Med Res. 2024;42:e20241046. doi:10.31584/jhsmr.20241046

Pechrapa K, Yodmai S, Kittipichai W, Charupoonpol P, Suksatan W. Health literacy among older adults during COVID-19 pandemic: a cross-sectional study in an urban community in Thailand. Ann Geriatr Med Res. 2021;25:309-17. doi:10.4235/agmr.21.0090

CARE; UN Women. The COVID-19 outbreak and gender: key advocacy points from Asia and the Pacific [Internet]. 2020 [cited 2025 Nov 9]. Available from: https://asiapacific.unwomen.org/en/digital-library/publications/2020/03/the-covid-19-outbreak-and-gender

UN Women. Against the odds: stories from women in Thailand during COVID-19 [Internet]. 2020 [cited 2025 Nov 9]. Available from: https://thailand.un.org/en/51835-against-odds-stories-women-thailand-during-covid-19

Al-Hanawi MK, Angawi K, Alshareef N, Qattan AMN, Helmy HZ, et al. Knowledge, attitude and practice toward COVID-19 among the public in the Kingdom of Saudi Arabia: a cross-sectional study. Front Public Health. 2020;8:217. doi:10.3389/fpubh.2020.00217

Kosiyaporn H, Julchoo S, Papwijitsil R, Uansri W, Phaiyarom K, Sinam S, et al. Risk communication distributed among migrant workers during the COVID-19 crisis in Thailand: analysis on structural and networking gaps. Trop Med Infect Dis. 2022;7:296. doi:10.3390/tropicalmed7100296

Poonaklom P, Rungram V, Abthaisong P, Piralam B. Factors associated with preventive behaviors towards coronavirus disease (COVID-19) among adults in Kalasin Province, Thailand, 2020. Outbreak Surveill Investig Response J. 2020;13:78-89. doi:10.59096/osir.v13i3.262803

Pothisa T, Ong-Artborirak P, Seangpraw K, Tonchoy P, Kantow S, Auttama N, et al. Knowledge of COVID-19 and its relationship with preventive behaviors and vaccination among adults in northern Thailand's community. Int J Environ Res Public Health. 2022;19:1521. doi:10.3390/ijerph19031521

Nawsuwan K, Oupra S, Singweratham P, Thepaksorn W. Uncovering the underlying aspects of successful COVID-19 prevention and control in Thailand through factor analysis: lessons we have not yet learned from village health volunteers. Belitung Nurs J. 2023;9:505-11. doi:10.33546/bnj.2735

Bazzoli A, Probst TM, Lee HJ. Economic stressors, COVID-19 attitudes, worry, and behaviors among U.S. working adults: a mixture analysis. Int J Environ Res Public Health. 2021;18:2338. doi:10.3390/ijerph18052338

Moon K, Heo W, Lee JM, Grable JE. Financial stress and COVID-19: a comprehensive analysis of the factors associated with the pandemic. Risks. 2023;11:218. doi:10.3390/risks11120218