1
|
Ai F, Li E, Ji Q, Zhang H. Construction of a machine learning-based risk prediction model for depression in middle-aged and elderly hypertensive people in China: a longitudinal study. Front Psychiatry 2024; 15:1398596. [PMID: 38764471 PMCID: PMC11099225 DOI: 10.3389/fpsyt.2024.1398596] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2024] [Accepted: 04/22/2024] [Indexed: 05/21/2024] Open
Abstract
Background Hypertension is a common chronic disease that can trigger symptoms such as anxiety and depression. Therefore, it is essential to predict their risk of depression. The aim of this study is to find the best prediction model and provide effective intervention strategies for health professionals. Methods The study subjects were 2733 middle-aged and older adults who participated in the China Health and Retirement Longitudinal Study (CHARLS) between 2018 and 2020. R software was used for Lasso regression analysis to screen the best predictor variables, and logistic regression, random forest and XGBoost models were constructed. Finally, the prediction efficiency of the three models was compared. Results In this study, 18 variables were included, and LASSO regression screened out 10 variables that were important for the establishment of the model. Among the three models, Logistic Regression model showed the best performance in various evaluation indicators. Conclusion The prediction model based on machine learning can accurately assess the likelihood of depression in middle-aged and elderly patients with hypertension in the next three years. And by combining Logistic regression and nomograms, we were able to provide a clear interpretation of personalized risk predictions.
Collapse
Affiliation(s)
| | | | | | - Huijun Zhang
- Department of Nursing, Jinzhou Medical University, Jinzhou, China
| |
Collapse
|
2
|
Gao M, Lu Y, Zhang L, Shi M, Zhou H, Zhou H, Kuang X, Li Y. Social anxiety, self-esteem and quality of life among hypertensive patients during COVID-19 local epidemic in China: A mediation analysis. Nurs Open 2024; 11:e2014. [PMID: 38268276 PMCID: PMC10697854 DOI: 10.1002/nop2.2014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Revised: 07/01/2023] [Accepted: 09/17/2023] [Indexed: 01/26/2024] Open
Abstract
OBJECTIVES To explore the mediating role of self-esteem in social anxiety and QoL during the COVID-19 local epidemic in China. DESIGN A cross-sectional survey. METHODS This study conveniently selected 344 hypertensive patients from a Grade-A tertiary hospital in Wuhu, Anhui Province, as the study population. Participants completed the demographic questionnaire, the social phobia inventory, the self-esteem scale and the 36-item short-form health survey. RESULTS Social anxiety, self-esteem and QoL were significantly correlated with each other. Social anxiety showed no direct effect on QoL (β = 0.011, p > 0.05). Social anxiety showed an indirect effect on QoL (β = -0.248, p < 0.001). Self-esteem fully mediated the association between social anxiety and QoL in hypertensive patients. PATIENT OR PUBLIC CONTRIBUTION Hypertensive patients in this study were participants during the data collection process. Nursing staff from the cardiology department at the hospital of a hospital in Wuhu City, Anhui Province assisted in the recruitment phase of the data collection process.
Collapse
Affiliation(s)
- Mengzhao Gao
- School of NursingWannan Medical CollegeWuhuChina
| | - Yidan Lu
- School of NursingWannan Medical CollegeWuhuChina
| | - Lin Zhang
- School of NursingWannan Medical CollegeWuhuChina
| | - Min Shi
- School of NursingWannan Medical CollegeWuhuChina
| | - Haoran Zhou
- School of NursingWannan Medical CollegeWuhuChina
| | - Helian Zhou
- School of NursingWannan Medical CollegeWuhuChina
| | - Xia Kuang
- Cardiovascular DepartmentFirst Affiliated Hospital of Wannan Medical CollegeWuhuChina
| | - Yuanzhen Li
- School of NursingWannan Medical CollegeWuhuChina
| |
Collapse
|
3
|
Lim E, Nielsen N, Lapane L, Barooah A, Xu S, Qu S, McPhillips E, Dube CE, Lapane K. Health effects of social connectedness in older adults living in congregate long-term care settings: A systematic review of quantitative and qualitative evidence. Int J Older People Nurs 2023; 18:e12577. [PMID: 37803996 PMCID: PMC10843483 DOI: 10.1111/opn.12577] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 08/21/2023] [Accepted: 09/17/2023] [Indexed: 10/08/2023]
Abstract
BACKGROUND The overall impact of social connectedness on health outcomes in older adults living in nursing homes and assisted living settings is unknown. Given the unclear health impact of social connectedness for older adults in congregate long-term care settings worldwide, a comprehensive systematic review is required to evaluate the overall relationship between social connectedness and health outcomes for them. OBJECTIVES The purpose of this article was to synthesize the literature regarding the health impact of social connectedness among older adults living in nursing homes or assisted living settings. METHODS Using PRISMA guidelines, we identified eligible studies from Scopus, MEDLINE, PsycINFO, CINAHL and Cochrane databases (1990-2021). Bias and quality reporting assessment was performed using standardized criteria for cohort, cross sectional and qualitative studies. At each stage, ≥ 2 researchers conducted independent evaluations. RESULTS Of the 7350 articles identified, 25 cohort (follow-up range: 1 month-11 years; with two also contributing to cross sectional), 86 cross sectional, eight qualitative and two mixed methods were eligible. Despite different instruments used, many residents living in nursing homes and assisted living settings had reduced social engagement. Quantitative evidence supports a link between higher social engagement and health outcomes most studied (e.g. depression, quality of life). Few studies evaluated important health outcomes (e.g. cognitive and functional decline). Most cohort studies showed that lack of social connectedness accelerated time to death. CONCLUSIONS Social connectedness may be an important modifiable risk factor for adverse health outcomes for older adults living in nursing homes and assisted living facilities. Most studies were cross sectional and focused on quality of life and mental health outcomes. Longitudinal studies suggest that higher social engagement delays time to death. Evidence regarding other health outcomes important to older adults was scant and requires further longitudinal studies.
Collapse
Affiliation(s)
- Emily Lim
- Department of Gerontology, University of Massachusetts Boston, Wheatley Hall, 100 William T. Morrissey Boulevard, Boston, MA, 02125, USA
- Division of Epidemiology, Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, 55 Lake Avenue North, Worcester, MA, 01605, USA
| | - Natalia Nielsen
- Division of Epidemiology, Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, 55 Lake Avenue North, Worcester, MA, 01605, USA
| | - Lucienne Lapane
- Boston University, School of Social Work, 264 Bay State Road, Boston, MA, 02215, USA
| | - Adrita Barooah
- Department of Gerontology, University of Massachusetts Boston, Wheatley Hall, 100 William T. Morrissey Boulevard, Boston, MA, 02125, USA
| | - Shu Xu
- Department of Gerontology, University of Massachusetts Boston, Wheatley Hall, 100 William T. Morrissey Boulevard, Boston, MA, 02125, USA
| | - Shan Qu
- Department of Gerontology, University of Massachusetts Boston, Wheatley Hall, 100 William T. Morrissey Boulevard, Boston, MA, 02125, USA
| | - Emily McPhillips
- Division of Epidemiology, Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, 55 Lake Avenue North, Worcester, MA, 01605, USA
| | - Catherine E. Dube
- Division of Epidemiology, Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, 55 Lake Avenue North, Worcester, MA, 01605, USA
| | - Kate Lapane
- Division of Epidemiology, Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, 55 Lake Avenue North, Worcester, MA, 01605, USA
| |
Collapse
|
4
|
Yang J, Li X, Mao L, Dong J, Fan R, Zhang L. Path Analysis of Influencing Factors of Depression in Middle-Aged and Elderly Patients with Diabetes. Patient Prefer Adherence 2023; 17:273-280. [PMID: 36741813 PMCID: PMC9896971 DOI: 10.2147/ppa.s392508] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 01/25/2023] [Indexed: 01/31/2023] Open
Abstract
PURPOSE This study aimed to assess the prevalence of depression in middle-aged and elderly patients with diabetes in China, determine the risk factors of depression in these patients, and explore the internal relationship between influencing factors and depression by constructing a pathway model. METHODS Data were collected from the 2018 China Health and Retirement Longitudinal Study (CHRLS). We included 1743 patients with diabetes who were assessed using the CES-D10, which is used to measure depressive symptoms in Chinese older adults. Based on the theory of psychological stress, data were analyzed using SPSS software version 22.0 and MPLUS 8.0. A correlation analysis was used to explore the relationship between the variables and depression scores. A path model was constructed to explore the interrelationships between variables and verify the relationships between variables and depression in patients with diabetes. RESULTS The prevalence of depression among patients with diabetes was 42.5%. The path analysis results showed that income, diabetes duration, sleep duration, pain distress, self-rated health, and glycemic control directly affected depression, and self-rated health had the largest effect value. With self-rated health and glycemic control as mediator variables, income, diabetes duration, sleep duration, pain distress, glycemic control, and insulin use had indirect effects on depression by influencing self-rated health. Age, frequency of blood glucose monitoring, and exercise glycemic control awareness indirectly affected depression by affecting glycemic control, self-rated health status, and depression. CONCLUSION We found that the path analysis model could construct the interaction between the influencing factors and explore the potential interrelationship between the influencing factors and diabetes-related depression. Patients with diabetes must adhere to regular medication, maintain a healthy lifestyle, and have effective glycemic control. Diabetes depression can be effectively prevented by making psychological knowledge publicly available, providing health education, and establishing corresponding for diabetes.
Collapse
Affiliation(s)
- Jielin Yang
- Department of Public Health, Shihezi University School of Medicine, Xinjiang, People’s Republic of China
| | - XiaoJu Li
- Department of Public Health, Shihezi University School of Medicine, Xinjiang, People’s Republic of China
- Correspondence: XiaoJu Li, Email
| | - Lu Mao
- Department of Public Health, Shihezi University School of Medicine, Xinjiang, People’s Republic of China
| | - Jiaxin Dong
- Department of Public Health, Shihezi University School of Medicine, Xinjiang, People’s Republic of China
| | - Rong Fan
- Department of Public Health, Shihezi University School of Medicine, Xinjiang, People’s Republic of China
| | - Liwen Zhang
- Department of Social Work, The First Affiliated Hospital of Shihezi University Medical College, Xinjiang, People’s Republic of China
| |
Collapse
|
5
|
Chang LC, Dattilo J, Huang FH. Gratitude Strengthens the Relationship Between Leisure Social Support and Self-Rated Health Among Nursing Home Residents. J Gerontol Nurs 2022; 48:23-30. [PMID: 35103524 DOI: 10.3928/00989134-20220110-02] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
A central outcome indicator of person-oriented services in primary health care is self-rated health (SRH). Therefore, promoting SRH among nursing home residents is valuable. We examined whether demographic variables, gratitude, and leisure social support (LSS) related to SRH, and whether gratitude moderated the relationship between LSS and SRH. To collect demographic information and measure gratitude, LSS, and SRH, we conducted face-to-face interviews with 237 participants from four nursing homes in Taiwan. We used hierarchical regression analysis to examine data. Results demonstrated that duration of residence, gratitude, and LSS predicted SRH, and that gratitude interacted with LSS. We discuss implications of these results in terms of facilitating gratitude to promote SRH among nursing home residents and guiding them to seek sources of LSS. In particular, we further discuss how gratitude strengthens the relationship between LSS and SRH. [Journal of Gerontological Nursing, 48(2), 23-30.].
Collapse
|
6
|
Yang S, Li J, Zhao D, Wang Y, Li W, Li J, Li Z, Wei Z, Yan C, Gui Z, Zhou C. Chronic Conditions, Persistent Pain, and Psychological Distress Among the Rural Older Adults: A Path Analysis in Shandong, China. Front Med (Lausanne) 2021; 8:770914. [PMID: 34796190 PMCID: PMC8593003 DOI: 10.3389/fmed.2021.770914] [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: 09/05/2021] [Accepted: 10/11/2021] [Indexed: 11/16/2022] Open
Abstract
Psychological distress were found to be associated with chronic conditions and persistent pain. However, few studies explored the underlying pathways between them. This study aimed to analyze the path of chronic conditions and persistent pain on psychological distress through sleep quality and self-rated health. A total of 2,748 rural older people in Shandong, China were included in this study. Path analysis was performed by using Mplus 8.3 to examine the associations between chronic conditions, persistent pain, sleep quality, self-rated health, and psychological distress after adjusting for age, gender, education, and household income. The prevalence of psychological distress among the older adults in this study was 47.49%. Chronic conditions and persistent pain were indirectly associated with psychological distress through six mediating pathways: (1) the path from chronic conditions to psychological distress through sleep quality (β = 0.041, 95%CI: 0.015-0.067) and self-rated health (β = 0.064, 95%CI: 0.038-0.091), respectively, and a chain mediation existed (β = 0.007, 95% CI: 0.000-0.014); (2) the path of persistent pain and psychological distress through sleep quality (β = 0.058, 95% CI: 0.014-0.102) and self-rated health (β = 0.048, 95% CI: 0.000-0.096), respectively, also the chain mediation found (β = 0.009, 95% CI: 0.005-0.014). Psychological distress was associated with chronic conditions and persistent pain through decreased sleep quality and self-rated health among Chinese rural older people. Multi-pronged targeted intervention should be taken for older adults with chronic conditions and persistent pain.
Collapse
Affiliation(s)
- Shijun Yang
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Jie Li
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Dan Zhao
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Yi Wang
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Wenjuan Li
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Jie Li
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Zhixian Li
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Zhen Wei
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Chen Yan
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Zhen Gui
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Chengchao Zhou
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- National Health Committee (NHC) Key Lab of Health Economics and Policy Research, Shandong University, Jinan, China
| |
Collapse
|
7
|
Zhang M, Zhang W, Liu Y, Wu M, Zhou J, Mao Z. Relationship between Family Function, Anxiety, and Quality of Life for Older Adults with Hypertension in Low-Income Communities. Int J Hypertens 2021; 2021:5547190. [PMID: 34616569 PMCID: PMC8490058 DOI: 10.1155/2021/5547190] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2021] [Accepted: 09/14/2021] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Effective functional family was beneficial for older adults' health, which may affect the quality of life (QoL) in hypertension patients. This study aimed to clarify the association between family function, anxiety, and QoL for older adults with hypertension in low-income communities. METHODS A questionnaire survey was conducted on 363 older adults with hypertension in low-income communities in Wuhan from September 2019 to November 2019. The relationships among the variables were examined by Pearson's correlation analysis. Predictor effects were tested using hierarchical multiple regressions, controlling for demographic characteristics. The structural equation model (SEM) was used to test the mediation effects of anxiety on the pathway from family function to QoL. RESULTS Family function was negatively correlated with the self-rating anxiety scale (SAS) score and positively correlated with the mental component score (MCS), but had no influence on the physical component score (PCS). Both PCS and MCS were negatively correlated with SAS. Anxiety was the negative predictor of MCS and PCS. Family function was the positive predictor of MCS, but had no influence on PCS. The path model indicated that anxiety significantly mediated the link between family function and QoL (R 2 = 32.8%), but only partially. CONCLUSION A significant correlation between anxiety, family function, and QoL was found. Anxiety had a partial mediating effect on the relationship between family function and QoL. Further research should focus on increasing the level of family function and reducing the perceived anxiety of older adults with hypertension to improve their QoL level.
Collapse
Affiliation(s)
- Meng Zhang
- Nursing Department, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wenyan Zhang
- Nursing Department, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yu Liu
- Nursing Department, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Meiliyang Wu
- Nursing Department, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jin Zhou
- Hanshui Bridge Street Community Health Center, Qiaokou District, Wuhan, China
| | - Zhongmin Mao
- Gutian Street Community Health Center, Qiaokou District, Wuhan, China
| |
Collapse
|
8
|
Chen Y, Wu M, Zeng T, Peng C, Zhao M, Xiao Q, Yuan M, Zhang K, Wang X. Effect of pain on depression among nursing home residents: Serial mediation of perceived social support and self-rated health. A cross-sectional study. Geriatr Gerontol Int 2020; 20:1234-1240. [PMID: 33090661 PMCID: PMC7756591 DOI: 10.1111/ggi.14067] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2020] [Revised: 09/12/2020] [Accepted: 09/29/2020] [Indexed: 11/29/2022]
Abstract
Aim The aim of this study was to investigate how perceived social support and self‐rated health together could mediate the relationship between pain and depression among Chinese nursing home residents with pain. Methods The study was conducted in 38 nursing homes in 13 cities in China. A convenience sample of 2154 older adults responded to the questionnaire survey. A mediation analysis was performed on the data of 990 participants with pain. The data were collected by a questionnaire consisting of socio‐economic and demographic characteristics, the Geriatric Depression Scale‐15, the Multidimensional Scale of Perceived Social Support, Self‐rated Health Scale and the Numerical Rating Scale of pain. The sample was subdivided by sex. Descriptive analysis, t‐tests, chi‐squared tests, Mann–Whitney U‐tests, Spearman correlation analyses and the bootstrap method were used to analyze data. Results The prevalence rate of pain and depression among nursing home residents were 46.0% and 20.7% respectively. Pain, perceived social support and self‐rated health were all significantly correlated with depression (r = 0.217, P < 0.01; r = −0.216, P < 0.01; r = 0.385, P < 0.01, respectively). Perceived social support and self‐rated health independently and in series partly explained the relationship between pain and depression. Conclusions The results of the study showed that pain was associated with low perceived social support first, and then poor self‐rated health, which was in turn related to the development of depression among nursing home residents with pain. For nursing home residents, perceived social support and self‐rated health as an internal resource can affect the ability to overcome the suffering of pain and reduce the level of depression. Geriatr Gerontol Int 2020; 20: 1234–1240.
Collapse
Affiliation(s)
- Ye Chen
- Department of Nursing, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,School of Nursing, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Meiliyang Wu
- Department of Nursing, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,School of Nursing, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Tieying Zeng
- Department of Nursing, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Chaohua Peng
- Department of Nursing, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Meizhen Zhao
- Department of Nursing, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qi Xiao
- Department of Nursing, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Mengmei Yuan
- Department of Nursing, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ke Zhang
- Department of Nursing, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xuejun Wang
- Department of Nursing, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,School of Nursing, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| |
Collapse
|