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Bao B, Qin A, Wang M, Qin W, Hu F, Xin T, Xu L. Association between hygiene environment, care needs, and depression among Chinese older adults: A cohort analysis from the CHARLS. Geriatr Nurs 2025; 63:147-157. [PMID: 40187182 DOI: 10.1016/j.gerinurse.2025.03.008] [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: 05/10/2024] [Revised: 01/20/2025] [Accepted: 03/19/2025] [Indexed: 04/07/2025]
Abstract
Limited research has explored the link between functional dependency, care needs, and depression among older adults. This study aims to explore the association between dependency levels and depression among Chinese older adults, as well as examine the relationship between hygiene environment and these two factors. Data were obtained from the CHARLS 2011-2018. A total of 4871 individuals aged 60 years and older were included. Generalized estimating equations were employed for the analysis. A conceptual framework was established to longitudinally illustrate the pathway from hygiene environment to dependency levels to depression. Findings indicated higher dependency levels and poorer hygiene environments were associated with an increased risk of depression, with dependency serving as a mediator between hygiene environment and depression. Policymakers should prioritize improvements in rural sanitation and long-term care policies, healthcare providers should enhance depression screening and caregiver training, and clinicians should provide personalized interventions to better address mental health challenges.
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Affiliation(s)
- Binghong Bao
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250012, China; National Health Commission (NHC) Key Laboratory of Health Economics and Policy Research (Shandong University), Jinan, Shandong, 250012, China; Center for Health Economics Experiment and Public Policy Research, Shandong University, Jinan, Shandong, 250012, China
| | - Afei Qin
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250012, China; National Health Commission (NHC) Key Laboratory of Health Economics and Policy Research (Shandong University), Jinan, Shandong, 250012, China; Center for Health Economics Experiment and Public Policy Research, Shandong University, Jinan, Shandong, 250012, China
| | - Meiqi Wang
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250012, China; National Health Commission (NHC) Key Laboratory of Health Economics and Policy Research (Shandong University), Jinan, Shandong, 250012, China
| | - Wenzhe Qin
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250012, China; National Health Commission (NHC) Key Laboratory of Health Economics and Policy Research (Shandong University), Jinan, Shandong, 250012, China; Center for Health Economics Experiment and Public Policy Research, Shandong University, Jinan, Shandong, 250012, China
| | - Fangfang Hu
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250012, China; National Health Commission (NHC) Key Laboratory of Health Economics and Policy Research (Shandong University), Jinan, Shandong, 250012, China; Center for Health Economics Experiment and Public Policy Research, Shandong University, Jinan, Shandong, 250012, China
| | - Tianjiao Xin
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250012, China; National Health Commission (NHC) Key Laboratory of Health Economics and Policy Research (Shandong University), Jinan, Shandong, 250012, China; Center for Health Economics Experiment and Public Policy Research, Shandong University, Jinan, Shandong, 250012, China
| | - Lingzhong Xu
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250012, China; National Health Commission (NHC) Key Laboratory of Health Economics and Policy Research (Shandong University), Jinan, Shandong, 250012, China; Center for Health Economics Experiment and Public Policy Research, Shandong University, Jinan, Shandong, 250012, China.
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Zhang X, Jiang Z, Huang A, Zhang F, Zhang Y, Zhang F, Gao L, Yang X, Hu R. Latent Trajectories of Activities of Daily Living Disability and Associated Factors Among Adults with Post-Intensive Care Syndrome One Week After ICU Discharge. J Multidiscip Healthc 2024; 17:4893-4906. [PMID: 39479379 PMCID: PMC11522011 DOI: 10.2147/jmdh.s469489] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Accepted: 09/20/2024] [Indexed: 11/02/2024] Open
Abstract
Objective To identify the latent trajectories of activities of daily living (ADL) disability and the influential factors among adults with post-intensive care syndrome (PICS). Methods We evaluated five-time longitudinal data about PICS diagnosed in 434 of 593 assessed patients (73.19%). Disability was measured by the Barthel index scale, which grades individuals according to how difficult it is to carry out ADL. We utilized the growth mixture model (GMM) to identify latent trajectories and associated factors. Results Two groups with distinct trajectories of ADL disability were identified, including the Severe Disability Sustained Group and the Disability Recovery Group. People who were of advanced age transferred to another hospital for treatment, or had cognitive impairment or depression were more likely to be classified into the Severe Disability Sustained Group (P < 005). Conclusion There are two potential trajectories of ADL disability in patients with PICS, which are the severe disability persistence group and the disability recovery group. Improvement in cognitive impairment or depression may contribute to recovery from disability, transfer to hospital or advanced age may not be conducive to recovery of ADL ability, and disability may last longer.
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Affiliation(s)
- Xiying Zhang
- Department of Intensive Care Unit, Jinsha County People’s Hospital, Bijie, Guizhou Province, 551800, People’s Republic of China
| | - Zhixia Jiang
- Office of the Director, Guizhou Nursing Vocational and Technical College, Guiyang, Guizhou Province, 550081, People’s Republic of China
| | - Aiai Huang
- Department of Nursing, Panyu Maternal and Child Care Service Center of Guangzhou, Guangzhou, Guangdong Province, 511400, People’s Republic of China
| | - Fuyan Zhang
- Department of Nursing, Jinsha County People’s Hospital, Bijie, Guizhou Province, 551800, People’s Republic of China
| | - Yuancheng Zhang
- Department of Orthopaedics, Jinsha County People’s Hospital, Bijie, Guizhou Province, 551800, People’s Republic of China
| | - Fang Zhang
- Surgical Teaching and Research Office, Guizhou Nursing Vocational and Technical College, Guiyang, Guizhou Province, 550081, People’s Republic of China
| | - Lin Gao
- Department of Endocrinology, Jinsha County People’s Hospital, Bijie, Guizhou Province, 551800, People’s Republic of China
| | - Xiaoling Yang
- Comprehensive Department of Nursing, Guizhou Nursing Vocational and Technical College, Guiyang, Guizhou Province, 550081, People’s Republic of China
| | - Rujun Hu
- Department of Intensive Care Unit, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou Province, 563000, People’s Republic of China
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Zhu X, Wang Y, Luo Y, Ding R, Shi Z, He P. Bidirectional, longitudinal associations between depressive symptoms and IADL/ADL disability in older adults in China: a national cohort study. BMC Geriatr 2024; 24:659. [PMID: 39107705 PMCID: PMC11301930 DOI: 10.1186/s12877-024-05248-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Accepted: 07/25/2024] [Indexed: 08/10/2024] Open
Abstract
INTRODUCTION Based on the data from the China Health and Retirement longitudinal study (CHARLS), we aimed to investigate the bidirectional relationship between depressive symptoms and functional disability. METHODS Data were collected across 3 waves from 2013 to 2018. The activities of daily living (ADLs) and the instrumental activities of daily living (IADLs) scales were used to measure functional disability and the CESD-10 was used to measure depressive symptoms. Cross-lagged models were performed to examine cross effect between depressive symptoms and functional disability across three waves. RESULTS Data on 10,092(mean [SD] age, 61.98[8.44] years; 3764 females [37.30%]) and 10,180 participants (mean [SD] age, 62.01[8.46] years; 3788 females [37.21%]) in IADL sample and ADL sample were included in the analyses. For IADL disability, the cross-lagged model shows a bidirectional association across three waves; the multivariable GEE model revealed that changes in CESD-10 score across waves were associated with worse IADL disability (β ranges: 0.08-0.10) and vice versa, worsen of IADL disability ascending developing of CESD-10 score (β ranges: 0.09-0.10). For ADL disability, the cross-lagged model shows a bidirectional association across three waves; the multivariable GEE model revealed that changes of CESD-10 score across waves were associated with worse IADL disability (β ranges: 0.08-0.10) and vice versa, worsen of IADL disability ascending developing of CESD-10 score (β ranges: 0.09-0.10). DISCUSSION Study findings underscore a significant bidirectional between depressive symptoms and functional disability in older adults. Thus, simultaneous intervention should be taken to manage the mutual development of functional disability and depression.
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Affiliation(s)
- Xuequan Zhu
- School of Public Health, Peking University, 38 Xue Yuan Road, Haidian Distric, Beijing, 100191, China
- Center for Health Development Studies, Peking University, 38 Xue Yuan Road, Haidian District, Beijing, 100191, China
- Beijing Anding Hospital, Capital Medical University, 5 Ankang Lane, Xicheng District, Beijing, 100088, China
| | - Yanshang Wang
- School of Public Health, Peking University, 38 Xue Yuan Road, Haidian Distric, Beijing, 100191, China
- Center for Health Development Studies, Peking University, 38 Xue Yuan Road, Haidian District, Beijing, 100191, China
| | - Yanan Luo
- School of Public Health, Peking University, 38 Xue Yuan Road, Haidian Distric, Beijing, 100191, China
| | - Ruoxi Ding
- Peking University Sixth Hospital, Haidian District, 38 Huayuan North Road, Beijing, 100191, China
| | - Zhenyu Shi
- Center for Health Development Studies, Peking University, 38 Xue Yuan Road, Haidian District, Beijing, 100191, China.
| | - Ping He
- Center for Health Development Studies, Peking University, 38 Xue Yuan Road, Haidian District, Beijing, 100191, China.
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Shulyaev K, Spielberg Y, Gur-Yaish N, Zisberg A. Family Support During Hospitalization Buffers Depressive Symptoms Among Independent Older Adults. Clin Gerontol 2024; 47:341-351. [PMID: 37493087 DOI: 10.1080/07317115.2023.2236097] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/27/2023]
Abstract
OBJECTIVES Hospitalization is a stressful event that may lead to deterioration in older adults' mental health. Drawing on the stress-buffering hypothesis, we examined whether family support during hospitalization would moderate the relations between level of independence and in-hospital depressive symptoms. METHOD This research was a secondary analysis of a cohort study conducted with a sample of 370 hospitalized older adults. Acutely ill older adults reported their level of independence at time of hospitalization and their level of depressive symptoms three days into the hospital stay. Family support was estimated by a daily report of hours family members stayed with the hospitalized older adult. RESULTS Independent older adults whose family members stayed longer hours in the hospital had fewer depressive symptoms than independent older adults with shorter family visits. Relations between depressive symptoms and family support were not apparent for dependent older adults, even though their family members stayed more hours. CONCLUSIONS This study partially supports the stress-buffering hypothesis, in that social support ameliorated depressive symptoms among hospitalized independent older adults. CLINICAL IMPLICATIONS Assessing depressive symptoms and functional ability and creating an environment conducive to family support for older adults may be beneficial to hospitalized older adults' mental health.
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Affiliation(s)
- Ksenya Shulyaev
- The Cheryl Spencer Department of Nursing, Faculty of Social Welfare and Health Science, University of Haifa, Haifa, Israel
- The Minerva Centre on Intersectionality in Aging (MCIA), Faculty of Social Welfare and Health Science, University of Haifa, Haifa, Israel
| | - Yochy Spielberg
- The Cheryl Spencer Department of Nursing, Faculty of Social Welfare and Health Science, University of Haifa, Haifa, Israel
| | - Nurit Gur-Yaish
- The Faculty of Graduate Studies, Oranim Academic College of Education, Kiryat Tiv'on, Israel
| | - Anna Zisberg
- The Cheryl Spencer Department of Nursing, Faculty of Social Welfare and Health Science, University of Haifa, Haifa, Israel
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Liu X, Wang X, Wen C, Wan L. Decision tree distinguish affective disorder diagnosis from psychotic disorder diagnosis with clinical and lab factors. Heliyon 2022; 8:e11514. [PMID: 36406667 PMCID: PMC9672315 DOI: 10.1016/j.heliyon.2022.e11514] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2022] [Revised: 09/18/2022] [Accepted: 11/04/2022] [Indexed: 11/13/2022] Open
Abstract
Background Affective symptoms usually occur at the same time of psychotic symptoms. An effective predictive method would help the differential diagnosis at an early stage of the mental disorder. The purpose of the study was to establish a predictive model by using laboratory indexes and clinical factors to improve the diagnostic accuracy. Methods Subjects were patients diagnosed with psychiatric disorders with affective and/or psychotic symptoms. Two patient samples were collected in the study (n = 309) With three classification methods (logistic regression, decision tree, and discriminant analysis), we established the models and verified the models. Results Seven predictors were found to be significant to distinguish the affective disorder diagnosis from the psychotic disorder diagnosis in all three methods, the 7 factors were Activities of daily living, direct bilirubin, apolipoproteinA1, lactic dehydrogenase, creatinine, monocyte count and interleukin-8. The decision tree outperformed the other 2 methods in area under the receiver operating characteristic curve, and also had the highest percentage of correctly classification. Conclusion We established a predictive model that included activities of daily living, biochemical, and immune indicators. In addition, the model established by the decision tree method had the highest predictive power, which provided a reliable basis for future clinical work. Our work would help make diagnosis more accurate at an early stage of the disorder.
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