Prevalence and Factors Associated with Participation in Health Checkups among Thai Adults Aged 19-60 Years: Cross-Sectional Study at Vajira Hospital, Bangkok, Thailand Prevalence and Factors Influencing Thai Adult’s Health Checkups
Main Article Content
Abstract
OBJECTIVE: This study aims to investigate the prevalence of health checkup attendance among Thai adults aged 19-60 years and the factors associated with participation in health checkups.
METHODS: A cross-sectional study was conducted from October to December 2023 among 292 Thai individuals aged 19–60 years who received medical services at Vajira Hospital without prior appointments for chronic disease follow-up. Data were collected using a questionnaire comprising the following four sections: personal information, health-related and health checkups data, possible factors facilitating checkup attendance, and the reasons why non-checkup participants choose not to undergo health checkups. The factors associated with participation in health checkups were identified by multivariable logistic regression analysis with a significance level of 0.05.
RESULTS: A total of 156 volunteers (53.4%) participated in checkups in the past 3 years. The factors associated with participation in checkups included earning more than 20,000 Baht per month (OR 3.06, 95% CI 1.12–8.41), checkups arranged by their workplace (OR 5.64, 95% CI 2.42–13.15), and encouragement by family or friends (OR 2.18, 95% CI 1.06–4.51). Underweight (OR 0.28, 95% CI 0.10–0.81) and overweight individuals (OR 0.23, 95% CI 0.08–0.64) were less likely to participate in health checkups than people with a normal body mass index. Lastly, individuals who could participate in checkups on weekends or holidays were less likely to do so than those unable to participate (OR 0.41, 95% CI 0.18–0.96).
CONCLUSION: A portion of Thai adults aged 19-60 years still fails to attend health checkups. Health checkup utilization must be increased using various strategies, such as encouraging workplace-organized checkups and fostering peer encouragement, especially among low-income and underweight/overweight individuals.
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References
World Health Organization. Non-communicable diseases [internet]. 2023 [cited 2023 Jul 23]. Available from: https://www.who.int/news-room/fact-sheets/detail/non-communicable-diseases
World Health Organization. WHO mortality database Thailand [internet]. 2020 [cited 2023 Jul 23]. Available from: https://platform.who.int/mortality/countries/country-details/MDB/thailand
The Ministry of Public Health of Thailand, the World Health Organization, the United Nations Development Programme, and the United Nations Inter-Agency Task Force. Prevention and control of non-communicable diseases in Thailand the case for investment [internet]. 2021 [cited 2023 Jul 25]. Available from: https://thailand.un.org/sites/default/files/2021-11/%E6%9C%80%E6%96%B0%EF%BC% BFTHAILAND_NCD%20IC%20 REPORT_v06_231121.pdf
Institute of Medical Research and Technology Assessment, Department of Medicine, Ministry of Public Health. Essential and suitable health check-ups guidelines for the general public 2022 [internet]. 2022 [cited 2023 Jul 25]. Available from: https://www.dms.go.th/backend//Content/Content_File/Publication/Attach/25650201111409AM_Medical%20Examination%201-02-2022%20final.pdf
Division of Strategy and Residential Information, Department of Academic and Innovation Development for Housing, National Housing Authority. Population and housing data report, year 2022 [internet]. 2023 [cited 2023 Aug 1]. Available from: https://housingkc.nha.co.th/files/article/ attachments/aed52b2717f2d051d449844fc4f1ddc6.pdf
Thai Health Promotion Foundation. Survey results: 1 in 10 Thai working-age individuals suffer from chronic health conditions [internet]. 2012 [cited 2023 Aug 1]. Available from: https://www.thaihealth.or.th/?p=231939
Yun B, Oh J, Choi J, Rozek LS, Park H, Sim J, et al. Socioeconomic disparities in the association between all-cause mortality and health check-up participation among healthy middle-aged workers: a nationwide study. J Korean Med Sci 2023;38(50):e384.
Hozawa A, Kuriyama S, Watanabe I, Kakizaki M, Ohmori-Matsuda K, Sone T, et al. Participation in health check-ups and mortality using propensity score matched cohort analyses. Prev Med 2010;51(5):397–402.
Tatara K, Shinsho F, Suzuki M, Takatorige T, Nakanishi N, Kuroda K. Relation between use of health check ups starting in middle age and demand for inpatient care by elderly people in Japan. BMJ 1991;302(6777):615–8.
Public Health Act, B.E. 2019 [internet]. 2019 [cited 2023 Oct 20]. Available from: https://www.ratchakitcha.soc.go.th/DATA/PDF/2562/A/056/T_0165.PDF
Naing L, Nordin R, Rahman HA, Naing YT. Sample size calculation for prevalence studies using Scalex and ScalaR calculators. BMC Medical Research Methodology 2022;22(1):1-8.
Nilchaikovit T, Lortrakul M, Phisansuthideth U. Development of Thai version of hospital anxiety and depression scale in cancer patients. J Psychiatr Assoc Thailand 1996;41(1):18-30.
Zigmond AS, Snaith RP. The hospital anxiety and depression scale. Acta Psychiatr Scand 1983;67(6):361-70.
Ohnishi M, Nakao R, Kawasaki R, Tanaka J, Kosaka S, Umezaki M. Factors associated with failure to undergo health check-ups in Nagasaki prefecture, Japan. J Rural Med 2023;18(1):28–35.
Lal S, Nguyen TXT, Sulemana A-S, Khan MSR, Kadoya Y. Does financial literacy influence preventive health check-up behavior in Japan? a cross-sectional study. BMC Public Health 2022;22:1704.
Kim B, Lee Y, Noh JW, Kim TH. Factors associated with health check-up and cancer screening participation among family caregivers of patients with dementia: a cross-sectional study. BMC Public Health 2021;21(1):1753.
Schülein S, Taylor KJ, Schriefer D, Blettner M, Klug SJ. Participation in preventive health check-ups among 19,351 women in Germany. Prev Med Rep 2017;6:23–6.
Shimoda A, Saito Y, Ooe C, Kondo N. Incomebased inequality in nationwide general health checkup participation in Japan. Public Health 2021;195:112-7.
Aljassim N, Ostini R. Health literacy in rural and urban populations: a systematic review. Patient Educ Couns 2020;103(10):2142-54.
McMaughan DJ, Oloruntoba O, Smith ML. Socioeconomic status and access to healthcare: interrelated drivers for healthy aging. Front Public Health 2020;8:231.
Janz NK, Becker MH. The health belief model: a decade later. Health Educ Q 1984;11(1):1–47.
Ho YL, Mahirah D, Ho CZ, Thumboo J. The role of the family in health promotion: a scoping review of models and mechanisms. Health Promot Int 2022;37(6):daac119.
Pengpid S, Peltzer K. Associations between behavioural risk factors and overweight and obesity among adults in population-based samples from 31 countries. Obes Res Clin Pract 2017;11(2):158-66.
Alageel S, Gulliford MC. Health checks and cardiovascular risk factor values over six years’ follow-up: matched cohort study using electronic health records in England. PLoS Med 2019;16(7):e1002863.