Latent transition analysis of instrumental activities of daily living in Chinese elderly: based on the 2014-2018 wave of the Chinese Longitudinal Healthy Longevity Survey

被引:2
|
作者
Wang, Yaqi [1 ]
Xu, Xueying [1 ]
Liu, Jingwen [1 ]
Lv, Qingyun [1 ]
Chang, Hairong [1 ]
He, Yuan [1 ]
Zhao, Yue [1 ]
Zhang, Xiaonan [1 ]
Zang, Xiaoying [1 ]
机构
[1] Tianjin Med Univ, Sch Nursing, 22 Qixiangtai Rd, Tianjin 300070, Peoples R China
基金
中国国家自然科学基金;
关键词
The elderly; Instrumental activities of daily living; Latent transition analysis; SOCIAL-BEHAVIOR; SEX-DIFFERENCES; OLDER-ADULTS; DEPRESSION;
D O I
10.1186/s12877-023-04631-5
中图分类号
R592 [老年病学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 100203 ;
摘要
BackgroundThe instrumental activities of daily living (IADL) among the elderly have been found to be heterogeneous, with different trajectories. However, the transition of the IADL over time remains unclear. We aimed to explore the transition probabilities and the predictors of IADL among the elderly.MethodsLongitudinal data from the 2014 (T1) and 2018 (T2) waves of the Chinese Longitudinal Healthy Longevity Survey were extracted. A sample of 2,944 participants aged 65 years or older, with complete responses to the IADL scale, was included. Latent profile analysis (LPA) and latent transition analysis (LTA) were employed to identify latent profiles of IADL and investigate the transition probabilities between profiles from T1 to T2. The predictors of latent profiles and transition probabilities were examined using multinomial regression analysis.ResultsThe results of LPA at both T1 and T2 supported a 4-profile model solution. They were labeled as the "Normal function profile," "Mildly impaired profile," "Moderately impaired profile," and "Highly impaired profile". The Normal function profile and Highly impaired profile were characterized by maintaining stability rather than transitioning over time, with transition probabilities of 0.71 and 0.68, respectively, for maintaining stability. The Mildly impaired profile and Moderately impaired profile were characterized by a stronger tendency towards transition rather than stability, with transition probabilities of 0.29 and 0.45, respectively, of transitioning to the Highly impaired profile. The transition probabilities from the three impaired function profiles to the Normal function profile ranged from 0.05 to 0.19. Age, gender, place of residence, and social participation were significant predictors of profile attribution at T1 and transition probabilities over time.ConclusionsThis study employed the LTA to examine the transition probability of IADL among the Chinese elderly. By recognizing the different profiles of IADL and understanding the factors associated with transitions among the elderly, interventions can be tailored to improve their functional independence and successful reintegration into families and society.
引用
收藏
页数:12
相关论文
共 50 条
  • [31] Differences in the health behaviors of elderly individuals and influencing factors: Evidence from the Chinese Longitudinal Healthy Longevity Survey
    Liu, Erpeng
    Feng, Yan
    Yue, Zhang
    Zhang, Qilin
    Han, Tiankuo
    INTERNATIONAL JOURNAL OF HEALTH PLANNING AND MANAGEMENT, 2019, 34 (04): : E1520 - E1532
  • [32] Specific Leisure Activities and Cognitive Functions Among the Oldest-Old: The Chinese Longitudinal Healthy Longevity Survey
    Mao, Chen
    Li, Zhi-Hao
    Lv, Yue-Bin
    Gao, Xiang
    Kraus, Virginia Byers
    Zhou, Jin-Hui
    Wu, Xian-Bo
    Shi, Wan-Ying
    Li, Fu-Rong
    Liu, Si-Min
    Yin, Zhao-Xue
    Zeng, Yi
    Shi, Xiao-Ming
    JOURNALS OF GERONTOLOGY SERIES A-BIOLOGICAL SCIENCES AND MEDICAL SCIENCES, 2020, 75 (04): : 739 - 746
  • [33] Determinants of self-rated health among elderly patients with hypertension: a cross-sectional analysis based on the Chinese longitudinal healthy longevity survey
    Zhou, Yang
    Huang, Yanjing
    Zhang, Aohua
    Yin, Guige
    Hu, Hongjuan
    CLINICAL AND EXPERIMENTAL HYPERTENSION, 2023, 45 (01)
  • [34] Development of a machine learning-based risk assessment model for loneliness among elderly Chinese: a cross-sectional study based on Chinese longitudinal healthy longevity survey
    Lin, Yoube
    Li, Chuang
    Wang, Xiuli
    Li, Hongyu
    BMC GERIATRICS, 2024, 24 (01)
  • [35] The activity of daily living (ADL) subgroups and health impairment among Chinese elderly: a latent profile analysis
    Yangchang Zhang
    Yang Xiong
    Qiuhua Yu
    Shisi Shen
    Li Chen
    Xun Lei
    BMC Geriatrics, 21
  • [36] The activity of daily living (ADL) subgroups and health impairment among Chinese elderly: a latent profile analysis
    Zhang, Yangchang
    Xiong, Yang
    Yu, Qiuhua
    Shen, Shisi
    Chen, Li
    Lei, Xun
    BMC GERIATRICS, 2021, 21 (01)
  • [37] Interaction between residential greenness and air pollution mortality: analysis of the Chinese Longitudinal Healthy Longevity Survey
    Ji, John S.
    Zhu, Anna
    Lv, Yuebin
    Shi, Xiaoming
    LANCET PLANETARY HEALTH, 2020, 4 (03): : E107 - E115
  • [38] Health Inequality Among the Elderly in Rural China and Influencing Factors: Evidence from the Chinese Longitudinal Healthy Longevity Survey
    Pan, Changjian
    Fan, Qiuyan
    Yang, Jing
    Deng, Dasong
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2019, 16 (20)
  • [39] Associations of Serum Albumin With Disability in Activities of Daily Living, Mobility and Objective Physical Functioning Regardless of Vitamin D: Cross-Sectional Findings From the Chinese Longitudinal Healthy Longevity Survey
    Li, Xueqin
    Cao, Xingqi
    Ying, Zhimin
    Zhang, Jingyun
    Sun, Xiaoyi
    Hoogendijk, Emiel O.
    Liu, Zuyun
    FRONTIERS IN NUTRITION, 2022, 9
  • [40] Prevalence and Risk Factors of Atrial Fibrillation in Chinese Elderly: Results from the Chinese Longitudinal Healthy Longevity Survey (Vol 128, pg 2426, 2015)
    Chei, C. L.
    Raman, P.
    Ching, C. K.
    Yin, Z. X.
    Shi, X. M.
    Zeng, Y.
    CHINESE MEDICAL JOURNAL, 2015, 128 (21)