Identification of comprehensive geriatric assessment‐based risk factors for insomnia in elderly Chinese hospitalized patients
Abstract Objective Insomnia is a common problem in older persons and is associated with poor prognosis from a functional or clinical perspective. The purpose of this study was to investigate the prevalence of insomnia and identify comprehensive geriatric assessment (CGA) based clinical factors assoc...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-03-01
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| Series: | Aging Medicine |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/agm2.12146 |
| _version_ | 1819298405161107456 |
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| author | Rong Liu Wenchao Shao Jonathan King‐Lam Lai Lingshan Zhou Man Ren Nianzhe Sun |
| author_facet | Rong Liu Wenchao Shao Jonathan King‐Lam Lai Lingshan Zhou Man Ren Nianzhe Sun |
| author_sort | Rong Liu |
| collection | DOAJ |
| description | Abstract Objective Insomnia is a common problem in older persons and is associated with poor prognosis from a functional or clinical perspective. The purpose of this study was to investigate the prevalence of insomnia and identify comprehensive geriatric assessment (CGA) based clinical factors associated with insomnia in elderly hospitalized patients. Methods Standardized face‐to‐face interviews were conducted and CGA data were collected from 356 Chinese hospitalized patients aged 60 years or older. Insomnia was defined as self‐reported sleep poor quality according to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM‐Ⅴ). Multivariate logistic regression analysis was applied to assess the association between patient clinical factors together with domains within the CGA and insomnia. Results Among the 365 patients, insomnia was found in 48.31% of the participants. Difficulty in initiating sleep (DIS), early morning awakening (EMA), difficulty in maintaining sleep (DMS), and snoring were found in 33.99%, 9.55%, 13.48%, and 1.69% of patients, respectively. Significant associations were found between insomnia and several covariates: female gender (P = 0.034), depression (P = 0.001), activities of daily living (ADL) (P = 0.034), instrumental activities of daily living (IADL; P = 0.009), falling (P = 0.003), chronic pain (P = 0.001), and poor nutritional status (P = 0.038). According to the results of the adjustment multivariate logistic regression analysis, female sex (odds ratio [OR] = 2.057, confidence interval [CI] = 1.179‐3.588, P = 0.011), depression (OR = 1.889, CI = 1.080‐3.304, P = 0.026), and chronic pain (OR = 1.779, CI = 1.103‐2.868, P = 0.018) were significant independently predictors associated with insomnia. Conclusions Our study revealed that female sex, depression, and chronic pain were independently predictors of insomnia in hospitalized patients. Early identification of elderly patients with these risk factors using the CGA may improve the quality of life and treatment outcomes. |
| first_indexed | 2024-12-24T05:29:22Z |
| format | Article |
| id | doaj.art-2c16b6852c174ea2ae8e3a15b5249d64 |
| institution | Directory Open Access Journal |
| issn | 2475-0360 |
| language | English |
| last_indexed | 2024-12-24T05:29:22Z |
| publishDate | 2021-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | Aging Medicine |
| spelling | doaj.art-2c16b6852c174ea2ae8e3a15b5249d642022-12-21T17:13:12ZengWileyAging Medicine2475-03602021-03-0141263410.1002/agm2.12146Identification of comprehensive geriatric assessment‐based risk factors for insomnia in elderly Chinese hospitalized patientsRong Liu0Wenchao Shao1Jonathan King‐Lam Lai2Lingshan Zhou3Man Ren4Nianzhe Sun5Department of Geriatrics Ward 2 The First Hospital of Lanzhou University Lanzhou ChinaDepartment of Cardiology Union Hospital, Tongji Medical CollegeHuazhong University of Science and Technology Wuhan ChinaStorr Liver Center, Westmead Institute for Medical Research University of Sydney and Westmead Hospital Sydney New South Wales AustraliaDepartment of Geriatrics Ward 2 The First Hospital of Lanzhou University Lanzhou ChinaDepartment of Geriatrics Ward 2 The First Hospital of Lanzhou University Lanzhou ChinaThe First Clinical Medicine School of Lanzhou University Lanzhou ChinaAbstract Objective Insomnia is a common problem in older persons and is associated with poor prognosis from a functional or clinical perspective. The purpose of this study was to investigate the prevalence of insomnia and identify comprehensive geriatric assessment (CGA) based clinical factors associated with insomnia in elderly hospitalized patients. Methods Standardized face‐to‐face interviews were conducted and CGA data were collected from 356 Chinese hospitalized patients aged 60 years or older. Insomnia was defined as self‐reported sleep poor quality according to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM‐Ⅴ). Multivariate logistic regression analysis was applied to assess the association between patient clinical factors together with domains within the CGA and insomnia. Results Among the 365 patients, insomnia was found in 48.31% of the participants. Difficulty in initiating sleep (DIS), early morning awakening (EMA), difficulty in maintaining sleep (DMS), and snoring were found in 33.99%, 9.55%, 13.48%, and 1.69% of patients, respectively. Significant associations were found between insomnia and several covariates: female gender (P = 0.034), depression (P = 0.001), activities of daily living (ADL) (P = 0.034), instrumental activities of daily living (IADL; P = 0.009), falling (P = 0.003), chronic pain (P = 0.001), and poor nutritional status (P = 0.038). According to the results of the adjustment multivariate logistic regression analysis, female sex (odds ratio [OR] = 2.057, confidence interval [CI] = 1.179‐3.588, P = 0.011), depression (OR = 1.889, CI = 1.080‐3.304, P = 0.026), and chronic pain (OR = 1.779, CI = 1.103‐2.868, P = 0.018) were significant independently predictors associated with insomnia. Conclusions Our study revealed that female sex, depression, and chronic pain were independently predictors of insomnia in hospitalized patients. Early identification of elderly patients with these risk factors using the CGA may improve the quality of life and treatment outcomes.https://doi.org/10.1002/agm2.12146comprehensive geriatric assessmentelderlyhospitalizedinsomnia |
| spellingShingle | Rong Liu Wenchao Shao Jonathan King‐Lam Lai Lingshan Zhou Man Ren Nianzhe Sun Identification of comprehensive geriatric assessment‐based risk factors for insomnia in elderly Chinese hospitalized patients Aging Medicine comprehensive geriatric assessment elderly hospitalized insomnia |
| title | Identification of comprehensive geriatric assessment‐based risk factors for insomnia in elderly Chinese hospitalized patients |
| title_full | Identification of comprehensive geriatric assessment‐based risk factors for insomnia in elderly Chinese hospitalized patients |
| title_fullStr | Identification of comprehensive geriatric assessment‐based risk factors for insomnia in elderly Chinese hospitalized patients |
| title_full_unstemmed | Identification of comprehensive geriatric assessment‐based risk factors for insomnia in elderly Chinese hospitalized patients |
| title_short | Identification of comprehensive geriatric assessment‐based risk factors for insomnia in elderly Chinese hospitalized patients |
| title_sort | identification of comprehensive geriatric assessment based risk factors for insomnia in elderly chinese hospitalized patients |
| topic | comprehensive geriatric assessment elderly hospitalized insomnia |
| url | https://doi.org/10.1002/agm2.12146 |
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