Mental Well-Being and Associated Factors Among Older Adults in Uttaradit Province

Authors

  • Wasana Khrutmuang Boromarajonani College of Nursing, Uttaradit Faculty of Nursing, Praboromarajchanok Institute
  • Seubtrakul Tantalanukul Boromarajonani College of Nursing, Uttaradit Faculty of Nursing, Praboromarajchanok Institute
  • Bhakbhumi Choktaweepanich Faculty of Science and Technology, Uttaradit Rajabhat University

Keywords:

Community Participation, Mental Well-Being, Older Adults, Social Support

Abstract

         This descriptive research aims to 1) evaluate mental well-being levels and 2) investigate the correlations between personal and social factors and mental well-being levels among older individuals in Uttaradit Province. The sample was composed of 1,195 individuals aged 60 years and older, who were selected through multistage random sampling. We gathered data using the Warwick-Edinburgh Mental Well-being Scale (WEMWBS) in Thai and a personal information questionnaire. The data analysis utilized descriptive statistics, Pearson's correlation coefficient, Spearman's rank correlation coefficient, and point-biserial correlation coefficient.
        The results indicated that the average total mental well-being score was 46.8 (SD = 7.9), signifying a moderate level of mental well-being, with interpersonal relationships and societal acceptability exhibiting the highest mean scores. Factors significantly correlated with mental well-being levels included age (r = -0.18, p = 0.002), education level (rs = 0.21, p = 0.008), income (r = 0.25, p < 0.001), marital status (p = 0.021), living arrangements (p = 0.013), community participation (r = 0.32, p < 0.001), and social support (r = 0.38, p < 0.001). These findings indicate that strategies to improve mental well-being should prioritize the fortification of social networks and community engagement, especially for socioeconomically vulnerable older individuals.

References

Cramm, J. M., & Nieboer, A. P. (2015). Social cohesion and belonging predict the well-being of community-dwelling older people. BMC Geriatrics, 15, 30. https://doi.org/10.1186/s12877-015-0027-y

Keyes, C. L. M. (2002). The mental health continuum: From languishing to flourishing in life. Journal of Health and Social Behavior, 43(2), 207–222. https://doi.org/10.2307/3090197

Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607–610. https://doi.org/10.1177/001316447003000308

Ministry of Social Development and Human Security. (2022). Strategic plan for elderly quality of life development 2022–2026. https://olderfund.dop.go.th/wp-content/uploads/2022/09/แผนปฏิบัติการกองบริหารกองทุนผู้สูงอายุ-2565-2569.pdf

Netuveli, G., Wiggins, R. D., Hildon, Z., Montgomery, S. M., & Blane, D. (2006). Quality of life at older ages: Evidence from the English longitudinal study of aging (ELSA). Journal of Epidemiology and Community Health, 60(4), 357–363. https://doi.org/10.1136/jech.2005.040071

Pinquart, M., & Sörensen, S. (2000). Influences of socioeconomic status, social network, and competence on subjective well-being in later life: A meta-analysis. Psychology and Aging, 15(2), 187–224. https://doi.org/10.1037/0882-7974.15.2.187

Rowe, J. W., & Kahn, R. L. (1997). Successful aging. The Gerontologist, 37(4), 433–440. https://doi.org/10.1093/geront/37.4.433

Steptoe, A., Deaton, A., & Stone, A. A. (2015). Subjective wellbeing, health, and ageing. The Lancet, 385(9968), 640–648. https://doi.org/10.1016/S0140-6736(13)61489-0

Tennant, R., Hiller, L., Fishwick, R., Platt, S., Joseph, S., Weich, S., Parkinson, J., Secker, J., & Stewart-Brown, S. (2007). The Warwick-Edinburgh Mental Well-being Scale (WEMWBS): Development and UK validation. Health and Quality of Life Outcomes, 5, 63. https://doi.org/10.1186/1477-7525-5-63

Train the Brain Forum Committee. (1993). Thai Mental State Examination (TMSE). Siriraj Hospital Gazette, 45(6), 359–374.

Uttaradit Provincial Public Health Office. (2024). Uttaradit provincial elderly situation report 2024. Ministry of Public Health. https://utoapp3.moph.go.th/app2/portfolio/docdtl?id=TVRrPQ==

Windle, G., Bennett, K. M., & Noyes, J. (2011). A methodological review of resilience measurement scales. Health and Quality of Life Outcomes, 9, 8. https://doi.org/10.1186/1477-7525-9-8

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Published

2025-06-24

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Research Articles