Level and Factors Predicting Aging Society Preparation in Late-Working-Age Population in Nakhon Phanom Province

Main Article Content

Thongchai Armartpundit

Abstract

Cross-sectional quantitative research to study level and predictors of preparedness for an aging society among the late-working-age population in Nakhon Phanom Province. Samples were 736 people and conducted between Decamber 2022 and Decamber 2023 using multi-stage random sampling. The research tool is a questionnaire and qualification for validity index was 0.76 and reliability was 0.75. Descriptive data were analyzed using numbers, percentages, means and standard deviations. Testing the predictive power of study factors by using multiple linear regression coefficient analysis. The research finding revealed that most of sample were female, with an average age of 49.9 years old, had primary education, marital status, and mostly of agricultural occupations. Preparation for an aging society was at a moderate level for 74.3 percent. The predictive power found that the study variables predicted preparation for an aging society by accounting for 31.3 percent, arranged in order as follows: perception of group norms, receiving social support, having a conducive environment, and perceived behavioral control. Therefore, these factors should be considered in planning and continue to promote preparation for an aging society for late-working-age people later.

Article Details

How to Cite
1.
Armartpundit T. Level and Factors Predicting Aging Society Preparation in Late-Working-Age Population in Nakhon Phanom Province. Health Sci J Thai [Internet]. 2024 Aug. 14 [cited 2024 Dec. 22];6(3):16-27. Available from: https://he02.tci-thaijo.org/index.php/HSJT/article/view/264462
Section
Original articles

References

United Nations, Department of Economics and Social affires. World population ageing 2020 High light. New York: United Nations publisher; 2020.

Ruggle S. The decline of intergeneration Co-residence in The United states 1850 to 2000. Am Sociol Rev 2007; 72(2): 964–89.

Wang M, Henkens K, Solinge V. Retirement adjustment: A review of theoretical and empirical advancements. Am Psychol 2011; 66: 204–15.

Leedy JJ, Wynbrandt J. Executive retirement management. New York: Facts on File; 1987.

Feng Z, Falkingham J, Liu X, Vlachantoni A. Changes in living arrangements and mortality among older people in China. SSM-Popul Health 2016; 3: 9–19.

Bradley M, Peterson, M, Lui J. Long term dynamic of household size and their environment implications. Popul Environ 2014; 36(1): 73–84.

Yeung DY, Zhou X. Planning for Retirement: Longtitudinal Effect on Retirement Resources and Post retirement Well-being. Front Psychol 2017; 8(1300): 1–14.

Foundation of Thai Gerontology Research and Development Institute (TGRI). Situation of Thai Elderly 2019. Bangkok: Printery; 2020. (In Thai)

Thailand Development Research Institute: TDRI. Estimates of public health expenditures in the next 15 year. Bangkok: Health Promotion Office; 2018. (In Thai)

Office of the National Economic and Social Development Board. National strategy 2018-2037. Bangkok: Office of the Secretary of the National Strategy Committee.; 2018. (In Thai)

National Economic and Social Development Office. The 12th National Economic and Social Development Plan (2017-2021). Bangkok: Office of the Secretary of the National Economic and Social Development Board; 2016. (In Thai)

National Committee on the Promotion and Coordination of the Elderly. The Second of National Elderly Development Plan (2001-2021). Bangkok: Teachers Council Printing House; 2002. (In Thai)

Thanasiri C. Life is very wonderful and strange. Bangkok: Nanmeebooks Publication; 2003. (In Thai)

Netiparattanakul P. Readiness of informal workers in Thailand and their entry into society. Thammasat J 2014; 33(3): 135–48. (In Thai)

Hollwich M. New Aging: Live smarter now to live better forever. New York: Penquin Book; 2016.

Kulabut N. Factors associated with retirement preparation among formal workers in near retirement age: A cross-sectional study [Thesis for Master of Public Health in Public Health Common Course of Nursing Practice]. [Bangkok]: Colledge of Public Health Sciences, Chulalongkorn University; 2020. (In Thai)

Phichitkuntham P, Dusadee-Tulsiri C, Homsin P. Factors predicting health preparedness for entry into the aging society of people in communities in Wang Chan District Rayong Provinc. Fac Nurs J Burapha Univ 2019; 27(1): 89–99. (In Thai)

Khamruangrit S. Human capital and preparation for the Thai population’s own aging [Dissertation of Doctor of Arts, Department of Demography]. [Bangkok]: Graduate School Chulalongkorn University; 2011. (In Thai)

Onthaisong C, Sornkla K, Suebsun S, Promsuan W. The Preparation for Entering the Aging Society of the Population in Mueang District, Surin Province. J Nurs Health Care 2020; 38(2): 53–61. (In Thai)

Ingkhaphakorn, A, Phantumnawin N. Factors affecting preparation for entering the aging society of working-age people: a case study of Sai Mai District, Bangkok. J Public Health 2019; 28(1): 22–36. (In Thai)

Rattanamongkolkul D, Khumwong J, Rattanamongkolkul S. Preparing nurses for old age: a cross-sectional study. in university hospital Nakhon Nayok Province. Thai J Pharm Health Sci 2020; 15(4): 266–75. (In Thai)

Bojinov I, Chen AC, Liu M. The Importance of Being Causal. Harv Data Sci Rev 2020; (2.3): 1–22.

Chaisombat D, Yana B. Factors related to preparation for entering the elderly of the pre-elderly population. Minist Public Health Nurs J 2019; 29(3): 131–43. (In Thai)

Chuenwattana W, Beadnok C. Perception and Preparation for Aging of Thai Pre-elderly Population. Pathumthani Univ J 2012; 4(2): 197–208. (In Thai)

Kadir JMA, Zainon S, Ismail RF, Aziz SNA, Amran AAI. Retirement Planning and its Impact on Working Individuals. Eur J Mol Clin Med 2020; 7(6): 1550–9.

Van Cauwenberg J, Nathan A, Barnett A, Barnett DW, Cerin E. Relationships between Neighbourhood physical environmental attributes and older Adults’ leisure-time physical activity: a systematic review and meta-analysis. Sports Med 2018; 48(7): 1635–60.

Stawsk R, Hurshey D, Jacobs-Lawson M. Goals clarity and financial planning activities determinants of retirement saving contributions. Int J Aging Hum Dev 2007; 64: 13–32.

Hershey D, Henkens K. Impact of different types of retirement transition on perceived satisfaction with life. Gerontologist 2013; 54: 233–44.

Afthanorhan A, al Mamun A, Zainol NR, Foziah H, Awang Z. Framing the Retirement Planning Behavior Model towards Sustainable Well-being among Youth: The Moderating Effect of Public Profiles. Sustainability 2020; 12(1): 1–24.

Beshears J, Choi JJ, Laibson D, Madrian BC, Milkman KL. The Effect of Providing Peer Information on Retirement Savings Decisions. J Finance 2014; 53(9): 1–56.

Peter L, Ambilikumar V, Ramanathan HN. Role Of Retirement Self-Efficacy In Explaining Retirement Planning. Palarch’s J Archaeol Egypt Egyptology 2021; 18(4): 6393–411.

Noone H, Stephen C, Alpass F. The process of replanning scale (PRePS): Development and validation. Psychol Assoc 2010; 22: 520–31.

Wongkeenee W, Chintanawa R, Sucamvang K. Factors predicting active ageing among population of Mueang district, Chiang Mai province. Nurs J (Manila) 2013; 40(4): 91–9. (In Thai)

Pansathin A. Factors related to retirement preparedness of government teachers in Roi-et province [Master’s Thesis, Master of Science (Public Health), Family Health]. [Bangkok]: Graduate School, Mahidol University; 2013. (In Thai)

Hung A, Parker M, Yoong K. Defining and measuring finacial literacy [Internet]. In working paper, RAND Labor and population working paper series; 2009 [Cited in 21 May, 2021]. Available from: http://www.rand.org/content/dam/rand/pubs/working_paper/2009/RAND_WR708.pdf/

Hershey D, Henkens K. Impact of different types of retirement transition on perceived satisfaction with life. Gerontologist 2013; 54: 233–44.

Neuman K, Hershey D. Finacial inhibit, finacial activation and saving for retirement. Financial Serv Rev 2003; 12:19–37.

Jacob-Lawsons M, Hershey D. Influence of FTB, financial knowledge, and finacial risk tolelanceon retirement saving behavior. Finacial Serv Rev 2005; 14: 331–444.

AbdulJamal AA, Ramlan WK, AbdulKarim MR, Osman RZ. The Effects of Social Influence and Financial Literacy on Savings Behavior: A Study on Students of Higher Learning Institutions in Kota Kinabalu, Sabah. Int J Bus Soc Sci 2015; 6(11): 110–9.

Jais J, Asokumar A. Psychological Process, Social and Environmental Influence on Retirement Planning: Malaysian Energy Industry Perspective. Manag Mark Chall Knowl Soc 2020; 15(2): 134–53.

Noone JH. Psychological and socioeconomic factors influencing men and women’s planning for retirement [thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Psychology]. [Turitea]: Massey University; 2010.

Jürgens D, Schüz B. Individual socioeconomic and neighborhood factors predict changes in sports activity during the transition to retirement. Eur Rev Aging Phys Act 2021; 18(14): 1–13.

Geographic information, health information Nakhon Phanom Province. Population information mid-year 2020, Nakhon Phanom Province [Internet]. 2020 [Cited in 12 Oct, 2021]. Available from: http://203.157.176.8/giscenter/pop.php. (In Thai)

Green LW, Kreuter MW. Health program planning: An educational and ecological approach. 4th ed. NY: McGraw-Hill Higher Education; 2005.

Ajzen I. The theory of planned behavior. Organ Behav Hum Decis 1991; (50): 179–211.

Armitage CJ, Conner M. Efficacy of the Theory of Planned Behaviour: a meta-analytic review. Br J Soc Psychol 2001; 4(4): 471–99.

Lwanga SK, Lemeshow S. Sample Size Determination in Health Studies: A Practical Manual. Geneva: World Health Organization; 1991.

United Nations. Handbook of household surveys. Geneva: United Nations publisher; 1984.

Ajzen I. Constructing a theory of planned behavior questionnaires [Internet]. 2010 [Cited in 12 Feb, 2022]. Available from: https://people.umass.edu/aizen/pdf/tpb.measurement.pdf

Cobb S. Social support as a moderator of life stress. Psychosom Med 1976; 38(5): 300–14.

Dhiman B. How social environment influences people’s behaivor: A critical review 2023; 10: 1-12.

Tabachnick BG, Fidell LS. Using Multivariate Statistics. Pearson Prentice Hall; 2010.

Garson D. Testing Statistcal Assumptions. North Carolina: School of Public and International Affairs, North Carolina State University; 2012.

Bunyasena P, Pannarong S. Preparation for entering the elderly age of workers outside the system In Chiang Mai province. Soc Sci J Srinakharinwirot Univ 2020; 23(1): 101–18. (In Thai)

Chuenwattanapong, N. Factors Influencing the Attitudes and Behavior of Consumers Purchasing Organic Food Products in Bangkok [Independent study in Master degree in Business management]. Graduate School, Bangkok University; 2019. (In Thai)

Stawski R, Hurshey D, Jacobs-Lawson M. Goals clarity and finacial planning activities determinants of retirement saving contributions. Int J Aging Hum Dev 2007; 64: 13–32.

Mahaphonprajak T. 10 years of the Thai economy: moving forward in the next decade [Internet]. 2019 [Cited in 22 Oct, 2022]. Available from: https://www.bot.or.th/th/research-and-publications/articles-and-publications/articles/Article_15Feb2019.html. (In Thai)

Suwanrada W. Creating a good quality of life in old age Focusing on the elderly as the center [Internet]. 2023 [Cited in 22 Oct, 2023]. Available from: https://www.pier.or.th/abridged/2023/21/. (In Thai)

Meetian N, Wongpiriyayotha N. Factors predicting vitality in middle-aged adults in semi-urban areas. J Nurs Health Care 2018; 36(2): 123–31. (In Thai)

Bandura A. Social Foundations of Thought and Action. Englewood Cliffs, NJ: Prentice Hall; 1986.

Dhiman B. How social environment influences people’s behavior: A critical review. Res Gate 2023; (370028484): 1–13.

Solhi M, Pirouzeh R, Zanjari N. Middle-aged preparation for healthy aging: a qualitative study. BMC Public Health 2022; 22(274): 2–8