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Chang KC, Chen HS, Wu CS, Chang CK, Hwang JJ, Huang SH, Chen YM, Cheng BW, Weng MH, Hsu CC, Huang WL. Evaluation of the optimal cutoff number of types of social participation activities in older people. J Formos Med Assoc 2023:S0929-6646(23)00036-0. [PMID: 36788044 DOI: 10.1016/j.jfma.2023.01.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Revised: 12/23/2022] [Accepted: 01/30/2023] [Indexed: 02/16/2023] Open
Abstract
INTRODUCTION Social participation activities have a close association with health aging. However, the clinical significance of numbers of social participation activities and its cutoff value has not been defined. METHODS We recruited 516 people aged ≥55 years. Twelve social participation behaviors modified according to Taiwanese culture were investigated, and the adequacy of cutoff number was determined by the area under the receiver operating characteristic curve (AUC) according to the results of cluster analysis of individual activities and scores of the Brief Symptom Rating Scale-5 (BSRS-5) and the Chinese Happiness Inventory (CHI). Demographic, BSRS-5 and CHI data were then compared according to the candidate cutoff numbers. RESULTS The distribution of the numbers of social activities suggested that the highest partition of numbers of social activities was 3 in women and 4 in men. The AUC regarding the cluster of activity types was 0.917, with the highest Youden's J value located between 3 and 4. The AUC regarding the cluster of activity types and scores of the BSRS-5 and the CHI was 0.929, with similar cutoffs. If 3 and 4 were used as cutoffs, the between-group differences of both the CHI and the BSRS-5 were significant. More types of social activities had a different engaging frequency with the 3 and 4 cutoffs. CONCLUSION Our findings found an adequate cutoff with better differential power in the psychopathology and happiness of older people that provided a basis for application in intervention and policy formation.
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Affiliation(s)
- Kai-Chieh Chang
- Department of Neurology, National Taiwan University Hospital, Yunlin Branch, Taiwan; Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taiwan
| | - Hsin-Shui Chen
- Department of Physical Medicine and Rehabilitation, National Taiwan University Hospital, Yunlin Branch, Taiwan
| | - Chi-Shin Wu
- Department of Psychiatry, National Taiwan University Hospital, Yunlin Branch, Taiwan; National Center for Geriatrics and Welfare Research, National Health Research Institutes, Taiwan; Department of Psychiatry, College of Medicine, National Taiwan University, Taiwan
| | - Chin-Kai Chang
- Department of Geriatrics and Gerontology, National Taiwan University Hospital, Yunlin Branch, Taiwan
| | - Juey-Jen Hwang
- Department of Internal Medicine, National Taiwan University Hospital, Taiwan
| | - Su-Hua Huang
- Department of Dietetics, National Taiwan University Hospital, Yunlin Branch, Taiwan
| | - Yung-Ming Chen
- Department of Internal Medicine, National Taiwan University Hospital, Taiwan; Department of Geriatrics and Gerontology, National Taiwan University Hospital, Taiwan; National Taiwan University Hospital, Bei-Hu Branch, Taiwan
| | - Bor-Wen Cheng
- Department of Industrial Engineering and Management, National Yunlin University of Science and Technology, Taiwan
| | - Min-Hsiu Weng
- Graduate School of Applied Chinese Studies, National Yunlin University of Science and Technology, Taiwan
| | - Chih-Cheng Hsu
- National Center for Geriatrics and Welfare Research, National Health Research Institutes, Taiwan
| | - Wei-Lieh Huang
- Department of Psychiatry, National Taiwan University Hospital, Yunlin Branch, Taiwan; Department of Psychiatry, College of Medicine, National Taiwan University, Taiwan.
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