Constructing and Verifying an Alexithymia Risk-Prediction Model for Older Adults with Chronic Diseases Living in Nursing Homes: A Cross-Sectional Study in China
Alexithymia is a critical global public health concern. This questionnaire-based cross-sectional study explored the risk factors of alexithymia in older adults living in nursing homes with chronic diseases. It also developed and evaluated an alexithymia risk-prediction model. A total of 203 older ad...
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MDPI AG
2022-12-01
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Series: | Geriatrics |
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Online Access: | https://www.mdpi.com/2308-3417/7/6/139 |
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author | Jing Wen Ying Wu Lixia Peng Siyi Chen Jiayang Yuan Weihong Wang Li Cong |
author_facet | Jing Wen Ying Wu Lixia Peng Siyi Chen Jiayang Yuan Weihong Wang Li Cong |
author_sort | Jing Wen |
collection | DOAJ |
description | Alexithymia is a critical global public health concern. This questionnaire-based cross-sectional study explored the risk factors of alexithymia in older adults living in nursing homes with chronic diseases. It also developed and evaluated an alexithymia risk-prediction model. A total of 203 older adults with chronic diseases were selected from seven nursing homes in Changsha, China, using simple random and cluster sampling. The participants were surveyed using the Toronto Alexithymia Scale (TAS-20), Geriatric Depression Scale-15 (GDS-15), Connor-Davidson Resilience Scale (CD-RISC), Perceived Social Support Scale (PSSS), and a socio-demographic characteristics questionnaire. The alexithymia total score was 43.85 ± 9.570, with an incidence rate of 8.9%. Alexithymia had a partial mediating effect on the relationship between social support and psychological resilience (the effect value was 0.12), accounting for 19.04% of the total effect. Gender, depression, and psychological resilience were the main independent influencing factors of alexithymia (<i>p</i> < 0.05). The area under the receiver operating characteristic (AUC-ROC) curve of the risk-prediction model was 0.770. The participants, especially those who were male and depressed, exhibited a certain degree of alexithymia. Additionally, it partially mediated the association between social support and psychological resilience, which is a protective factor against alexithymia. The risk-prediction model showed good accuracy and discrimination. Hence, it can be used for preliminary screening of alexithymia in older adults with chronic diseases living in nursing homes. |
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language | English |
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series | Geriatrics |
spelling | doaj.art-3b40e1f156ed4d648d51e68e35074a9e2023-11-24T15:08:05ZengMDPI AGGeriatrics2308-34172022-12-017613910.3390/geriatrics7060139Constructing and Verifying an Alexithymia Risk-Prediction Model for Older Adults with Chronic Diseases Living in Nursing Homes: A Cross-Sectional Study in ChinaJing Wen0Ying Wu1Lixia Peng2Siyi Chen3Jiayang Yuan4Weihong Wang5Li Cong6School of Medicine, Hunan Normal University, Changsha 410013, ChinaSchool of Medicine, Hunan Normal University, Changsha 410013, ChinaShuda College, Hunan Normal University, Changsha 410000, ChinaShuda College, Hunan Normal University, Changsha 410000, ChinaShuda College, Hunan Normal University, Changsha 410000, ChinaSchool of Medicine, Hunan Normal University, Changsha 410013, ChinaSchool of Medicine, Hunan Normal University, Changsha 410013, ChinaAlexithymia is a critical global public health concern. This questionnaire-based cross-sectional study explored the risk factors of alexithymia in older adults living in nursing homes with chronic diseases. It also developed and evaluated an alexithymia risk-prediction model. A total of 203 older adults with chronic diseases were selected from seven nursing homes in Changsha, China, using simple random and cluster sampling. The participants were surveyed using the Toronto Alexithymia Scale (TAS-20), Geriatric Depression Scale-15 (GDS-15), Connor-Davidson Resilience Scale (CD-RISC), Perceived Social Support Scale (PSSS), and a socio-demographic characteristics questionnaire. The alexithymia total score was 43.85 ± 9.570, with an incidence rate of 8.9%. Alexithymia had a partial mediating effect on the relationship between social support and psychological resilience (the effect value was 0.12), accounting for 19.04% of the total effect. Gender, depression, and psychological resilience were the main independent influencing factors of alexithymia (<i>p</i> < 0.05). The area under the receiver operating characteristic (AUC-ROC) curve of the risk-prediction model was 0.770. The participants, especially those who were male and depressed, exhibited a certain degree of alexithymia. Additionally, it partially mediated the association between social support and psychological resilience, which is a protective factor against alexithymia. The risk-prediction model showed good accuracy and discrimination. Hence, it can be used for preliminary screening of alexithymia in older adults with chronic diseases living in nursing homes.https://www.mdpi.com/2308-3417/7/6/139nursing homeolder adults with chronic diseasesalexithymiapsychological resiliencerisk prediction |
spellingShingle | Jing Wen Ying Wu Lixia Peng Siyi Chen Jiayang Yuan Weihong Wang Li Cong Constructing and Verifying an Alexithymia Risk-Prediction Model for Older Adults with Chronic Diseases Living in Nursing Homes: A Cross-Sectional Study in China Geriatrics nursing home older adults with chronic diseases alexithymia psychological resilience risk prediction |
title | Constructing and Verifying an Alexithymia Risk-Prediction Model for Older Adults with Chronic Diseases Living in Nursing Homes: A Cross-Sectional Study in China |
title_full | Constructing and Verifying an Alexithymia Risk-Prediction Model for Older Adults with Chronic Diseases Living in Nursing Homes: A Cross-Sectional Study in China |
title_fullStr | Constructing and Verifying an Alexithymia Risk-Prediction Model for Older Adults with Chronic Diseases Living in Nursing Homes: A Cross-Sectional Study in China |
title_full_unstemmed | Constructing and Verifying an Alexithymia Risk-Prediction Model for Older Adults with Chronic Diseases Living in Nursing Homes: A Cross-Sectional Study in China |
title_short | Constructing and Verifying an Alexithymia Risk-Prediction Model for Older Adults with Chronic Diseases Living in Nursing Homes: A Cross-Sectional Study in China |
title_sort | constructing and verifying an alexithymia risk prediction model for older adults with chronic diseases living in nursing homes a cross sectional study in china |
topic | nursing home older adults with chronic diseases alexithymia psychological resilience risk prediction |
url | https://www.mdpi.com/2308-3417/7/6/139 |
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