Beijing Longitudinal Disability Survey in Community Elderly (BLINDSCE): protocol for a community-based prospective longitudinal cohort study about disability prediction model
Introduction The rapidly expanding population of ageing and older adults with disability has been a continuing public health priority in recent decades. The first step towards solving this issue is to assess disability accurately and identify high-risk factors and individuals for early prevention. W...
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BMJ Publishing Group
2025-05-01
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| author | Yue Wu Shaoyuan Lei Siqi Cheng Xinyan Du ChengBei Hou Hongjun Liu Xiaolin Yue Yansu Guo |
| author_facet | Yue Wu Shaoyuan Lei Siqi Cheng Xinyan Du ChengBei Hou Hongjun Liu Xiaolin Yue Yansu Guo |
| author_sort | Yue Wu |
| collection | DOAJ |
| description | Introduction The rapidly expanding population of ageing and older adults with disability has been a continuing public health priority in recent decades. The first step towards solving this issue is to assess disability accurately and identify high-risk factors and individuals for early prevention. We aim to establish a prospective cohort, the Beijing Longitudinal Disability Survey in Community Elderly (BLINDSCE), using multidimensional disability assessments and to develop multifactorial models for disability prediction among community-dwelling older adults.Methods and analysis The BLINDSCE is a prospective cohort study that includes community-dwelling older adults aged ≥65 years with or without disability from urban and rural areas in Beijing. Participants complete structured questionnaires and undergo assessments of disability, cognition and disability-related factors and outcomes. Disability is assessed using the WHO’s Disability Assessment Schedule 2.0, activities of daily living, the Barthel index, locomotor function and physical function. Based on baseline cross-sectional information, the relationships between multiple factors and disability can be initially screened using logistic regression. Every 1–1.5 years, participants will receive a follow-up survey to remeasure disability, cognitive function and other disability-related factors and outcomes. At least three follow-ups are scheduled. The primary outcome of this study is disability. The secondary outcomes include cognition and many disability-related conditions, such as falls, pain, poor health, decreased intrinsic capacity, frailty, sarcopenia, hospitalisation and death. Cox proportional hazards or logistic regression will be used to analyse follow-up data and construct prediction models, which will be validated internally and externally.Ethics and dissemination The Ethics Committee of Xuanwu Hospital, Capital Medical University, approved this study (No: [2023]129). The results will be published in peer-reviewed journals focusing on geriatric medicine and presented at related scientific conferences.Trials registration number NCT06863727. Stage of study: recruiting. |
| format | Article |
| id | doaj-art-1d90edb61dc94c069dd343fa0e8ca983 |
| institution | OA Journals |
| issn | 2044-6055 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | BMJ Publishing Group |
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| series | BMJ Open |
| spelling | doaj-art-1d90edb61dc94c069dd343fa0e8ca9832025-08-20T02:31:57ZengBMJ Publishing GroupBMJ Open2044-60552025-05-0115510.1136/bmjopen-2024-091955Beijing Longitudinal Disability Survey in Community Elderly (BLINDSCE): protocol for a community-based prospective longitudinal cohort study about disability prediction modelYue Wu0Shaoyuan Lei1Siqi Cheng2Xinyan Du3ChengBei Hou4Hongjun Liu5Xiaolin Yue6Yansu Guo7Beijing Geriatric Healthcare and Disease Prevention Center, Xuanwu Hospital, Capital Medical University, Beijing, ChinaEvidence-Based Medicine Center, Xuanwu Hospital, Capital Medical University, Beijing, ChinaBeijing Geriatric Healthcare and Disease Prevention Center, Xuanwu Hospital, Capital Medical University, Beijing, ChinaBeijing Geriatric Healthcare and Disease Prevention Center, Xuanwu Hospital, Capital Medical University, Beijing, ChinaEvidence-Based Medicine Center, Xuanwu Hospital, Capital Medical University, Beijing, ChinaEvidence-Based Medicine Center, Xuanwu Hospital, Capital Medical University, Beijing, ChinaBeijing Geriatric Healthcare and Disease Prevention Center, Xuanwu Hospital, Capital Medical University, Beijing, ChinaBeijing Geriatric Healthcare and Disease Prevention Center, Xuanwu Hospital, Capital Medical University, Beijing, ChinaIntroduction The rapidly expanding population of ageing and older adults with disability has been a continuing public health priority in recent decades. The first step towards solving this issue is to assess disability accurately and identify high-risk factors and individuals for early prevention. We aim to establish a prospective cohort, the Beijing Longitudinal Disability Survey in Community Elderly (BLINDSCE), using multidimensional disability assessments and to develop multifactorial models for disability prediction among community-dwelling older adults.Methods and analysis The BLINDSCE is a prospective cohort study that includes community-dwelling older adults aged ≥65 years with or without disability from urban and rural areas in Beijing. Participants complete structured questionnaires and undergo assessments of disability, cognition and disability-related factors and outcomes. Disability is assessed using the WHO’s Disability Assessment Schedule 2.0, activities of daily living, the Barthel index, locomotor function and physical function. Based on baseline cross-sectional information, the relationships between multiple factors and disability can be initially screened using logistic regression. Every 1–1.5 years, participants will receive a follow-up survey to remeasure disability, cognitive function and other disability-related factors and outcomes. At least three follow-ups are scheduled. The primary outcome of this study is disability. The secondary outcomes include cognition and many disability-related conditions, such as falls, pain, poor health, decreased intrinsic capacity, frailty, sarcopenia, hospitalisation and death. Cox proportional hazards or logistic regression will be used to analyse follow-up data and construct prediction models, which will be validated internally and externally.Ethics and dissemination The Ethics Committee of Xuanwu Hospital, Capital Medical University, approved this study (No: [2023]129). The results will be published in peer-reviewed journals focusing on geriatric medicine and presented at related scientific conferences.Trials registration number NCT06863727. Stage of study: recruiting.https://bmjopen.bmj.com/content/15/5/e091955.full |
| spellingShingle | Yue Wu Shaoyuan Lei Siqi Cheng Xinyan Du ChengBei Hou Hongjun Liu Xiaolin Yue Yansu Guo Beijing Longitudinal Disability Survey in Community Elderly (BLINDSCE): protocol for a community-based prospective longitudinal cohort study about disability prediction model BMJ Open |
| title | Beijing Longitudinal Disability Survey in Community Elderly (BLINDSCE): protocol for a community-based prospective longitudinal cohort study about disability prediction model |
| title_full | Beijing Longitudinal Disability Survey in Community Elderly (BLINDSCE): protocol for a community-based prospective longitudinal cohort study about disability prediction model |
| title_fullStr | Beijing Longitudinal Disability Survey in Community Elderly (BLINDSCE): protocol for a community-based prospective longitudinal cohort study about disability prediction model |
| title_full_unstemmed | Beijing Longitudinal Disability Survey in Community Elderly (BLINDSCE): protocol for a community-based prospective longitudinal cohort study about disability prediction model |
| title_short | Beijing Longitudinal Disability Survey in Community Elderly (BLINDSCE): protocol for a community-based prospective longitudinal cohort study about disability prediction model |
| title_sort | beijing longitudinal disability survey in community elderly blindsce protocol for a community based prospective longitudinal cohort study about disability prediction model |
| url | https://bmjopen.bmj.com/content/15/5/e091955.full |
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