Predicting Factors of the Preparation for Active Aging Among Workers in an Industrial Area, Chonburi Province

Authors

  • Prawit Boonsaengsong Faculty of Nursing, Burapha University
  • Nisakorn Krungkraipetch Faculty of Nursing, Burapha University
  • Chananchidadussadee Toonsiri Faculty of Nursing, Burapha University

Keywords:

Preparation, Active aging, Workforce, Industrial area

Abstract

Preparing the working-age population for quality aging can significantly reduce their long-term dependency in communities. This predictive correlational study aimed to investi- gate readiness for quality aging and its predictors, including personal, economic, social, and environmental factors. The sample consisted of 151 working-age individuals aged 40-59 years from industrial areas in Chonburi Province, selected through cluster random sampling. The research instrument was a questionnaire comprising six sections: 1) personal information, 2) work conditions, 3) attitudes toward aging, 4) health threats, 5) workplace policies, and 6) readiness for quality aging. The questionnaire demonstrated content validity indices of .88, .86, .97, and .82, with reliability coefficients of .88, .75, .88, and .93, respectively. Data were analyzed using descriptive statistics and stepwise multiple regression analysis.

The findings revealed that the overall readiness for quality aging among the workers was high (M = 3.88, SD = 1.10). Economic preparedness was the most prominent, followed by social, physical health, and mental health aspects. The significant predictors of readiness for quality aging were workplace policies (β = -0.197) and job position (β = 0.195), collec- tively accounting for 8.0% of the variance in readiness (R² = 0.080, F = 6.452, p < 0.01).

Therefore, community health nurses or occupational health nurses can apply these findings by promoting exemplary readiness behaviors among supervisory staff and organizing activities that support physical and mental health preparedness for aging individuals in the workforce.

References

Bunyasena, P., & Pannarong, S. (2020). Preparation for elder life of informal workers in Chiang Mai Province. Journal of Social Science Srinakharinwirot University, 23(1), 101-118. https://ejournals.swu.ac.th/index.php/JOS/article/view/12903 (in Thai)

Department of Disease Control, Ministry of Public Health. (2019). Occupational diseases and environmental diseases control act B.E. 2562 (2019). https://ddc.moph.go.th/uploads/files/14120220209073708.pdf (in Thai)

Department of Elderly Affairs Ministry of Social Development and Human Security. (2021). Statistics on the elderly in Thailand, 77 Provinces as of 31 December 2020. https://www.dop.go.th/download/knowledge/th1615079086-335_0.pdf (in Thai)

Health Organization Center, Health Promotion Foundation. (2013). 123 Towards being an organization of happiness. Happy Workplace Center. https://happy8workplace.thaihealth.or.th/books-videos/books/180

Ingkapakorn, A., & Bhanthumnavin, N. (2019). Factors influencing the preparation for elderly of working people: A case study of Sai Mai District, Bangkok. Journal of Health Science of Thailand, 28(1), 22-36. https://thaidj.org/index.php/JHS/article/view/5906 (in Thai)

Kasemsuk, K., & Bang-on, R. (2023). Health promotion of middle adulthood development: Nurses’ roles. Regional Health Promotion Center 9 Journal, 17(1), 368-380. https://he02.tci-thaijo.org/index.php/RHPC9Journal/article/view/260913/178439 (in Thai)

Kiattiyan, K., & Rojanatrakun, T. (2021). The preparation for entering the aging society: A case study of Wat Sai Subdistrict, Mueang Nakhon Sawan District, Nakhon Sawan Province. Journal of Modern Learning Development, 6(2), 59-74. https://so06.tci-thaijo.org/index.php/jomld/article/view/247278/168281 (in Thai)

Labour Force Survey. (2019). Population aged 15 years and over by sex, labour force status and quarterly: 2019 – 2020. National Statistical Office. https://www.nso.go.th/nsoweb/downloadFile/stat_main_nso/aTCb/file_th

Meechana, P., Khansakorn, N., Silawan, T., Rawiworrakul, T., & Phijaisanit, p. (2017) Readiness of pre-aging population for quality aging society in Nongyasai Sub-district, Nongyasai District, Suphanburi Province. EAU Heritage Journal Science and Technology, 11(1), 259-271. https://he01.tci-thaijo.org/index.php/EAUHJSci/article/view/74350/68165 (in Thai)

Onthaisong, C., Sonkla, K., Suansant, S., & Phromsawon, W. (2020). The preparing for the aging society of the population in Mueang District, Surin Province. Journal of Nursing and Health Care, 38(2), 53-62.https://he01.tci-thaijo.org/index.php/jnat-ned/article/view/220803/165467 (in Thai)

Panajapol, C. (2015) Preparing for the old age: A case study from office of the permanent secretary, Ministry of Public Health (Central). [Unpublished master’s thesis]. Thammasat University. (in Thai)

Pichitkultham, P., Thunsiri, C., & Hormsin, P. (2019). Factors predicting health preparation for aging society among community-dwelling people in Wangchan District, Rayong Province. The Journal of Faculty of Nursing Burapha University, 27(1), 89-99. https://ojs.lib.buu.ac.th/index.php/nursing/article/view/6394 (in Thai)

Polit, D. F., & Beck, C. T. (2016) Nursing research: Generating and assessing evidence for nursing practice (10th ed.). Wolters Kluwer.

Sanguanchue, A., Detboon, P., Arsa, R., Srithon, P., Nuanthes, S., & Kongman, N. (2018). Factors relating with the preparation for aging among work-force age in industrial factory areas Kabinburi District, Prachinburi Province. Journal of The Department of Medical Services, 43(4), 105-109. (in Thai)

Seetangkham, S., & Nilvarangkul, N. (2018). Situation of working-age persons’ readiness for aging. Journal of Nursing and Health Care, 35(4), 204–213. https://he01.tci-thaijo.org/index.php/jnat-ned/article/view/111878 (in Thai)

Tipwong, N., & Suppapitiporn, S. (2017). Quality of life and preparation for quality aging, society of registered nurses of private hospital, Bangkok Metropolis. Chulalongkorn Medical Journal, 61(1), 103-115. https://he05.tci-thaijo.org/index.php/CMJ/article/view/418 (in Thai)

United Nations Department of Economic and Social Affairs, Population Division. (2022). World population prospects 2022: Summary of results. UN DESA/POP/2022/TR/NO. 3. https://www.un.org/development/desa/pd/sites/www.un.org.development.desa.pd/files/wpp2022_summary_of_results.pdf

Wongkinee, W., Jintanawat, R., & Sukhamwang, K. (2013). Factors predicting active ageing among population of Mueang District, Chiang Mai Province. Nursing Journal, 40(4), 91-99. https://he02.tci-thaijo.org/index.php/cmunursing/article/view/18873 (in Thai)

World Health Organization. (‎2002)‎. Active ageing: A policy framework. https://iris.who.int/handle/10665/67215

Downloads

Published

2024-12-20

How to Cite

Boonsaengsong, P., Krungkraipetch, N., & Toonsiri, C. (2024). Predicting Factors of the Preparation for Active Aging Among Workers in an Industrial Area, Chonburi Province. Nursing Journal CMU, 51(4), 27–39. Retrieved from https://he02.tci-thaijo.org/index.php/cmunursing/article/view/270164