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Xu S, Su YJ, Ehrlich JR, Song Q. Associations Between Self-Reported Visual Difficulty, Age of Onset, and Cognitive Function Trajectories Among Chinese Older Adults. J Aging Health 2024:8982643241247251. [PMID: 38621713 DOI: 10.1177/08982643241247251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/17/2024]
Abstract
Objectives: This study examined the association between self-reported visual difficulty and age-related cognitive declines among older Chinese adults and how the timing of visual difficulty onset plays a role in cognitive trajectories. Methods: Data were drawn from the 2011-2018 wave of the China Health and Retirement Longitudinal Study, involving 9974 respondents aged 60 years or older (mean age 65.44 years, range 60-101 years). Results: At baseline, 14.16% respondents had self-reported visual difficulty. Growth curve models showed that Chinese older adults with visual difficulty experienced a faster decline in cognitive function compared to those without visual difficulty (β = -0.02, p < .01). Older adults who began experiencing visual difficulty between 61 and 75 years of age had steeper cognitive declines compared to those with earlier or later onset (β = -0.05, p < .01). Discussion: Older adults with self-reported visual difficulty experience faster rates of cognitive decline. Future research should explore potential factors that underlie the association between onset timing of visual difficulty and cognitive function.
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Affiliation(s)
- Shu Xu
- Department of Gerontology, University of Massachusetts Boston, Boston, MA, USA
| | - Yan-Jhu Su
- Department of Gerontology, University of Massachusetts Boston, Boston, MA, USA
| | - Joshua R Ehrlich
- Department of Ophthalmology and Visual Sciences and Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Qian Song
- Department of Gerontology, University of Massachusetts Boston, Boston, MA, USA
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2
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Lim ZW, Chee ML, Soh ZD, Majithia S, Sahil T, Tan ST, Sabanayagam C, Wong TY, Cheng CY, Tham YC. Six-Year Incidence of Visual Impairment in a Multiethnic Asian Population: The Singapore Epidemiology of Eye Diseases Study. OPHTHALMOLOGY SCIENCE 2023; 3:100392. [PMID: 38025163 PMCID: PMC10630666 DOI: 10.1016/j.xops.2023.100392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Revised: 08/23/2023] [Accepted: 08/28/2023] [Indexed: 12/01/2023]
Abstract
Purpose To examine the 6-year incidence of visual impairment (VI) and identify risk factors associated with VI in a multiethnic Asian population. Design Prospective, population-based, cohort study. Participants Adults aged ≥ 40 years were recruited from the Singapore Epidemiology of Eye Diseases cohort study at baseline. Eligible subjects were re-examined after 6 years. Subjects included in the final analysis had a mean age of 56.1 ± 8.9 years, and 2801 (50.5%) were female. Methods All participants underwent standardized examination and interviewer-administered questionnaire at baseline. Incidences were standardized to the Singapore Population Census 2010. A Poisson binomial regression model was used to evaluate the associations between baseline factors and incident presenting VI. Main Outcome Measures Incident presenting VI was assessed at the 6-year follow-up visit. Visual impairment (presenting visual acuity < 20/40), low vision (presenting visual acuity < 20/40 but ≥ 20/200), and blindness (presenting visual acuity < 20/200) were defined based on United States definition. Results A total of 5551 subjects (2188 Chinese, 1837 Indians, and 1526 Malays) were evaluated, of whom 514 developed incident presenting VI over 6 years. Malays had a higher incidence of low vision and blindness (13.0%; 0.6%) than Indians (7.0%; 0.1%) and Chinese (7.7%; 0.2%). Among Malay individuals with VI at baseline, 52.8% remained visually impaired after 6 years, which was considerably higher than Chinese (32.4%) and Indians (37.2%). Older age (per decade; relative risk [RR] = 1.59), a history of cardiovascular disease (RR = 1.38), current smoking (RR = 1.31), smaller housing type (1- to 2-room public flat; RR = 2.01), and no formal education (RR = 1.63) at baseline were associated with a higher risk of incident VI (all P ≤ 0.027). Older age (> 60 years) contributed the highest population attributable risk to incident VI (27.1%), followed by lower monthly income (Singapore dollar < $2000; 26.4%) and smaller housing type (24.7%). Overall, undercorrected refractive error (49.1%) and cataract (82.6%) were leading causes for low vision and blindness, respectively. This was consistently observed across the 3 ethnicities. Conclusions In this multiethnic Asian population, Malays had a higher VI incidence compared to Indians and Chinese. Leading causes of VI are mostly treatable, suggesting that more efforts are needed to further mitigate preventable visual loss. Financial Disclosures The authors have no proprietary or commercial interest in any materials discussed in this article.
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Affiliation(s)
- Zhi Wei Lim
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
| | - Miao-Li Chee
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
| | - Zhi Da Soh
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
| | - Shivani Majithia
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
| | - Thakur Sahil
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
| | - See Teng Tan
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
| | - Charumathi Sabanayagam
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
- Eye Academic Clinical Program, Duke-NUS Medical School, Singapore
| | - Tien Yin Wong
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
- Tsinghua Medicine, Tsinghua University, Beijing, China
- School of Clinical Medicine, Beijing Tsinghua Changgung Hospital, Beijing, China
| | - Ching-Yu Cheng
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
- Eye Academic Clinical Program, Duke-NUS Medical School, Singapore
- Centre for Innovation and Precision Eye Health & Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Yih-Chung Tham
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
- Eye Academic Clinical Program, Duke-NUS Medical School, Singapore
- Centre for Innovation and Precision Eye Health & Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
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3
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Zhao X, Lin J, Yu S, Xie L, Jin L, Xiong K, Tsui CK, Xu Y, Wu B, Liu B, Wang W, Congdon N, Huang W, He M, Liang X. Incidence, causes and risk factors of vision loss in rural Southern China: 6-year follow-up of the Yangxi Eye Study. Br J Ophthalmol 2023; 107:1190-1196. [PMID: 35459692 PMCID: PMC10359527 DOI: 10.1136/bjophthalmol-2021-320892] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2021] [Accepted: 03/24/2022] [Indexed: 11/04/2022]
Abstract
PURPOSE To report the 6-year incidence, causes and risk factors for vision loss (visual impairment (VI) and blindness), among elderly adults in rural southern China. METHODS Population-based, cohort study. Initiated in 2014, the study recruited participants aged 50 and older using random cluster sampling from Yangxi County. All eligible participants were invited to attend interviews and comprehensive eye examinations at the 6-year follow-up between November 2020 and March 2021. The WHO categories of vision loss were used to define incident cases of VI (3/60≤VA <6/12), moderate-to-severe VI (MSVI) (3/60≤VA<6/18) and blindness (VA <3/60) in the better-seeing eye. RESULTS Among the 5825 baseline participants, 3187 (64.4%) of 4946 surviving subjects participated in the 6-year follow-up. Based on presenting and best-corrected VA, respectively, the crude incidence rate of blindness was 0.8% (95% CI 0.5% to 1.1%) vs 0.3% (95% CI 0.1% to 0.5%), for MSVI 6.7% (95% CI 5.7% to 7.6%) vs 4.6% (95% CI 3.8% to 5.4%) and for any VI 16.1% (95% CI 14.5% to 17.6%) vs 12.9% (95% CI 11.6% to 14.1%). Cataract (48.3%) and refractive errors (44.4%) were the most common causes of vision loss. Factors significantly associated with greater incident vision loss were older age, female sex, less education, living alone and longer axial length (all p<0.05). CONCLUSIONS Substantial work is still required to reduce avoidable vision loss in rural China. Screening outreach and efforts to improve awareness which target the poorer and less educated are urgently needed to reduce the growing unmet need for eye care due to ageing.
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Affiliation(s)
- Xinyu Zhao
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangzhou, China
- Ophthalmology, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou, China
| | - Jianqiang Lin
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangzhou, China
- Ophthalmology, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou, China
| | - Shanshan Yu
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangzhou, China
- Ophthalmology, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou, China
| | - Liqiong Xie
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangzhou, China
- Ophthalmology, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou, China
| | - Ling Jin
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangzhou, China
- Ophthalmology, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou, China
| | - Kun Xiong
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangzhou, China
- Ophthalmology, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou, China
| | - Ching-Kit Tsui
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangzhou, China
- Ophthalmology, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou, China
| | - Yue Xu
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangzhou, China
- Ophthalmology, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou, China
| | - Benjuan Wu
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangzhou, China
- Ophthalmology, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou, China
| | - Bin Liu
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangzhou, China
- Ophthalmology, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou, China
| | - Wei Wang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangzhou, China
- Ophthalmology, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou, China
| | - Nathan Congdon
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangzhou, China
- Centre for Public Health, School of Medicine, Dentistry and Biomedical Sciences,Queen's University, Belfast, UK
- Orbis International, New York, New York, USA
| | - Wenyong Huang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangzhou, China
- Ophthalmology, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou, China
| | - Mingguang He
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangzhou, China
- Ophthalmology, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou, China
| | - Xiaoling Liang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangzhou, China
- Ophthalmology, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou, China
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4
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Li C, Zhu B, Zhang J, Guan P, Zhang G, Yu H, Yang X, Liu L. Epidemiology, health policy and public health implications of visual impairment and age-related eye diseases in mainland China. Front Public Health 2022; 10:966006. [PMID: 36438305 PMCID: PMC9682104 DOI: 10.3389/fpubh.2022.966006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Accepted: 10/26/2022] [Indexed: 11/10/2022] Open
Abstract
The prevalence of visual impairment (VI) and age-related eye diseases has increased dramatically with the growing aging population in mainland China. However, there is limited comprehensive evidence on the progress of ophthalmic epidemiological research in mainland China to enhance our awareness of the prevention of eye diseases to inform public health policy. Here, we conducted a literature review of the population-based epidemiology of VI and age-related eye diseases in mainland China from the 1st of January 1946 to the 20th of October 2021. No language restrictions were applied. There was significant demographic and geographic variation in the epidemic of VI and age-related eye diseases. There are several factors known to be correlated to VI and age-related eye diseases, including age, gender, family history, lifestyle, biological factors, and environmental exposures; however, evidence relating to genetic predisposition remains unclear. In addition, posterior segment eye diseases, including age-related macular degeneration and diabetic retinopathy, are amongst the major causes of irreversible visual impairments in the senile Chinese population. There remains a significant prevention gap, with only a few individuals showing awareness and achieving optimal medical care with regards to age-related eye diseases. Multiple challenges and obstacles need to be overcome, including the accelerated aging of the Chinese population, the lack of structured care delivery in many underdeveloped regions, and unequal access to care. Despite the progress to date, there are few well-conducted multi-center population-based studies following a single protocol in mainland China, which findings can hopefully provide valuable cues for governmental decision-making and assist in addressing and halting the incidence of VI and age-related eye diseases in China.
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Affiliation(s)
- Cong Li
- Department of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China,School of Medicine, South China University of Technology, Guangzhou, China
| | - Bo Zhu
- Cancer Hospital of China Medical University/Liaoning Cancer Hospital & Institute, Shenyang, China
| | - Jie Zhang
- Department of Retina, Weifang Eye Hospital, Weifang, China
| | - Peng Guan
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
| | - Guisen Zhang
- Department of Retina, Inner Mongolia Chaoju Eye Hospital, Hohhot, China
| | - Honghua Yu
- Department of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China,*Correspondence: Honghua Yu
| | - Xiaohong Yang
- Department of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China,Xiaohong Yang
| | - Lei Liu
- Department of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China,Lei Liu
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5
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Danemayer J, Boggs D, Delgado Ramos V, Smith E, Kular A, Bhot W, Ramos-Barajas F, Polack S, Holloway C. Estimating need and coverage for five priority assistive products: a systematic review of global population-based research. BMJ Glob Health 2022; 7:bmjgh-2021-007662. [PMID: 35101862 PMCID: PMC8804659 DOI: 10.1136/bmjgh-2021-007662] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Accepted: 12/10/2021] [Indexed: 12/28/2022] Open
Abstract
INTRODUCTION To improve access to assistive products (APs) globally, data must be available to inform evidence-based decision-making, policy development and evaluation, and market-shaping interventions. METHODS This systematic review was undertaken to identify studies presenting population-based estimates of need and coverage for five APs (hearing aids, limb prostheses, wheelchairs, glasses and personal digital assistants) grouped by four functional domains (hearing, mobility, vision and cognition). RESULTS Data including 656 AP access indicators were extracted from 207 studies, most of which (n=199, 96%) were cross-sectional, either collecting primary (n=167) or using secondary (n=32) data. There was considerable heterogeneity in assessment approaches used and how AP indicators were reported; over half (n=110) used a combination of clinical and self-reported assessment data. Of 35 studies reporting AP use out of all people with functional difficulty in the corresponding functional domains, the proportions ranged from 4.5% to 47.0% for hearing aids, from 0.9% to 17.6% for mobility devices, and from 0.1% to 86.6% for near and distance glasses. Studies reporting AP need indicators demonstrated >60% unmet need for each of the five APs in most settings. CONCLUSION Variation in definitions of indicators of AP access have likely led to overestimates/underestimates of need and coverage, particularly, where the relationship between functioning difficulty and the need for an AP is complex. This review demonstrates high unmet need for APs globally, due in part to disparate data across this sector, and emphasises the need to standardise AP data collection and reporting strategies to provide a comparable evidence base to improve access to APs.
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Affiliation(s)
- Jamie Danemayer
- Department of Computer Science, Global Disability Innovation Hub, University College London, London, UK
| | - Dorothy Boggs
- International Centre for Evidence in Disability, London School of Hygiene and Tropical Medicine, London, UK
| | | | - Emma Smith
- Department of Psychology, Assisted Living and Learning Institute, Maynooth University, Maynooth, Ireland
| | - Ariana Kular
- Department of Health Sciences, Mental Health and Wellbeing, University of Warwick, Warwick, UK
| | - William Bhot
- Department of Computer Science, Global Disability Innovation Hub, University College London, London, UK
| | - Felipe Ramos-Barajas
- Department of Computer Science, Global Disability Innovation Hub, University College London, London, UK
| | - Sarah Polack
- International Centre for Evidence in Disability, London School of Hygiene and Tropical Medicine, London, UK
| | - Cathy Holloway
- Department of Computer Science, Global Disability Innovation Hub, University College London, London, UK
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6
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Cao GY, Yao SS, Wang K, Han L, Chen ZS, Huang ZT, Zhang Q, Wang C, Hu YH, Xu B. Vision impairment, vision correction, and cognitive decline among middle-aged and older Chinese: results from the China health and retirement longitudinal study. Aging Ment Health 2021; 25:2028-2035. [PMID: 33063527 DOI: 10.1080/13607863.2020.1828271] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
OBJECTIVES To investigate the associations between vision impairment (VI), vision correction (VC), and cognitive function. METHOD We included 20,677 participants aged ≥45 years from the China Health and Retirement Longitudinal Study (2011-2015). Participants were grouped into no VI, distance VI (DVI) only, near VI (NVI) only, or both distance and near VI (DNVI), and VI(+)/VC(-), VI(+)/VC(+), VI(-)/VC(-), or VI(-)/VC(+) further at baseline. Cognitive function at baseline and subsequently every two years was applied as a dependent variable in a generalized estimating equation model. RESULTS DVI only, NVI only, and DNVI had significantly worse cognitive function over time than no VI (all p < .05). DNVI had significantly worse cognitive function over time than DVI only and NVI only (all p < .001). VI(+)/VC(+), VI(-)/VC(-), and VI(-)/VC(+) had significantly better cognitive function over time than VI(+)/VC(-) (all p < .05). VI(-)/VC(+) had significantly better cognitive function over time than VI(+)/VC(+) and VI(-)/VC(-) (all p < .05). CONCLUSION Cognitive function was worse in middle-aged and older Chinese with VI, especially in those with DNVI. VC was associated with better cognitive function over time regardless of the status of vision.
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Affiliation(s)
- Gui-Ying Cao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.,Medical Informatics Center, Peking University Medical Informatics Center, Beijing, China
| | - Shan-Shan Yao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.,Medical Informatics Center, Peking University Medical Informatics Center, Beijing, China
| | - Kaipeng Wang
- School of Social Work, Texas State University, San Marcos, TX, USA
| | - Ling Han
- Department of Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Zi-Shuo Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.,Medical Informatics Center, Peking University Medical Informatics Center, Beijing, China
| | - Zi-Ting Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.,Medical Informatics Center, Peking University Medical Informatics Center, Beijing, China
| | - Qin Zhang
- Department of Ophthalmology, Peking University People's Hospital, Beijing, China.,Eye Disease and Optometry Institute, Peking University People's Hospital, Beijing, China.,Beijing, Key Laboratory of Diagnosis and Therapy of Retinal and Choroid Diseases, Beijing, China.,College of Optometry, Peking University Health Science Center, Beijing, China
| | - Chunxiu Wang
- Department of Evidence-Based Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yong-Hua Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.,Medical Informatics Center, Peking University Medical Informatics Center, Beijing, China
| | - Beibei Xu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.,Medical Informatics Center, Peking University Medical Informatics Center, Beijing, China
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7
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Cao G, Wang K, Han L, Zhang Q, Yao S, Chen Z, Huang Z, Luo Y, Hu Y, Xu B. Visual trajectories and risk of physical and cognitive impairment among older Chinese adults. J Am Geriatr Soc 2021; 69:2877-2887. [PMID: 34111310 DOI: 10.1111/jgs.17311] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Revised: 05/11/2021] [Accepted: 05/20/2021] [Indexed: 01/10/2023]
Abstract
BACKGROUND/OBJECTIVES To identify visual trajectories and examine their relationships with physical and cognitive function in older Chinese adults. DESIGN Population-based longitudinal study. SETTING The Chinese Longitudinal Healthy Longevity Survey. PARTICIPANTS A total of 16,151 participants aged ≥65 years. MEASUREMENTS Visual, physical (including activities of daily living [ADL] and instrumental ADL [IADL]), and cognitive function were assessed at baseline and subsequently every 3 years. ADI disability and IADL disability were defined as needing any help in any item of the Katz scale and a modified Lawton's scale, respectively. Cognitive impairment was defined as a Chinese version of the Mini-Mental State Examination score below 24. A group-based trajectory model was used to determine visual trajectories adjusted for age, sex, and education. Associations of visual trajectories with ADL disability, IADL disability, and cognitive impairment were evaluated using generalized estimating equation models adjusted for potential confounders. RESULTS This study identified three distinct visual trajectories, including no decline (32.4%), moderate decline (48.3%), and progressive decline (19.3%) during the follow-up period. Compared with the no decline trajectory, both the moderate decline (ADL disability: OR = 2.75, 95% CI: 2.30-3.28; IADL disability: OR = 3.01, 95% CI: 2.74-3.31; cognitive impairment: OR = 3.37, 95% CI: 3.02-3.76) and the progressive decline (ADL disability: OR = 8.50, 95% CI: 6.55-11.02; IADL disability: OR = 12.96, 95% CI: 9.95-16.87; cognitive impairment: OR = 10.84, 95% CI: 8.89-13.23) trajectories were significantly associated with an increased risk of functional impairment. Compared with the moderate decline trajectory, the progressive decline trajectory was significantly associated with an increased risk of ADL disability (OR = 3.09, 95% CI: 2.46-3.89), IADL disability (OR = 4.30, 95% CI: 3.29-5.61), and cognitive impairment (OR = 3.22, 95% CI:2.63-3.93). CONCLUSION Older Chinese adults exhibit three distinct visual trajectories and those with decline trajectories in vision have an increased risk of functional impairment than those with a trajectory of no decline in vision.
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Affiliation(s)
- Guiying Cao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.,Medical Informatics Center, Peking University, Beijing, China
| | - Kaipeng Wang
- Graduate School of Social Work, University of Denver, Denver, Colorado, USA
| | - Ling Han
- Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA
| | - Qin Zhang
- Department of Ophthalmology, Peking University People's Hospital, Beijing, China.,College of Optometry, Peking University Health Science Center, Beijing, China.,Eye Diseases and Optometry Institute, Beijing Key Laboratory of Diagnosis and Therapy of Retinal and Choroid Diseases, Beijing, China
| | - Shanshan Yao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.,Medical Informatics Center, Peking University, Beijing, China
| | - Zishuo Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.,Medical Informatics Center, Peking University, Beijing, China
| | - Ziting Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.,Medical Informatics Center, Peking University, Beijing, China
| | - Yan Luo
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.,Medical Informatics Center, Peking University, Beijing, China
| | - Yonghua Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.,Medical Informatics Center, Peking University, Beijing, China
| | - Beibei Xu
- Medical Informatics Center, Peking University, Beijing, China
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8
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Zhang Q, Cao GY, Yao SS, Wang C, Chen ZS, Hu YH, Xu B. Self-reported vision impairment, vision correction, and depressive symptoms among middle-aged and older Chinese: Findings from the China health and retirement longitudinal study. Int J Geriatr Psychiatry 2021; 36:86-95. [PMID: 32783270 DOI: 10.1002/gps.5398] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Revised: 05/17/2020] [Accepted: 07/30/2020] [Indexed: 11/06/2022]
Abstract
OBJECTIVE To investigate associations between vision impairment (VI), vision correction (VC) and depressive symptoms among middle-aged and older Chinese. METHODS 22 203 participants aged ≥45 years from China Health and Retirement Longitudinal Study 2011 to 2015 were divided into four self-reported VI categories: no VI, distance VI (DVI) only, near VI (NVI) only, and both distance and near VI (DNVI); and four self-reported VI/VC subgroups: VI(+)/VC(-), VI(+)/VC(+), VI(-)/VC(-) and VI(-)/VC(+). Depressive symptoms were evaluated by 10-item Center for Epidemiological Studies Depression Scale (CESD-10). RESULTS Compared with no VI, DVI only (OR = 2.12, 95% CI: 1.95, 2.31), NVI only (OR = 1.51, 95% CI: 1.39, 1.63) and DNVI (OR = 2.75, 95% CI: 2.47, 3.07) were associated with higher odds of depressive symptoms. Compared with VI(+)/VC(-), VI(+)/VC(+) (OR = 0.91, 95% CI: 0.83, 0.98), VI (-)/VC(-) (OR = 0.50, 95% CI: 0.48, 0.53) and VI(-)/VC(+) (OR = 0.49, 95% CI: 0.47, 0.54) were associated with lower odds of depressive symptoms. Compared with no VI at baseline, baseline DNVI was significantly associated with higher odds of depressive symptoms after two (OR = 1.48, 95% CI: 1.16, 1.88) and four (OR = 1.32, 95% CI: 1.04, 1.68) years. Baseline depressive symptoms were significantly associated with higher odds of VI after two (OR = 1.53, 95% CI: 1.34, 1.74) and four (OR = 1.54, 95% CI: 1.34, 1.76) years. CONCLUSION Adults with DNVI were more likely to report depressive symptoms in the future and those with depressive symptoms were more likely to report VI in the future. VC might be a protective factor for preventing depressive symptoms among adults with VI.
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Affiliation(s)
- Qin Zhang
- Department of Ophthalmology, Peking University People's Hospital, Beijing, China.,Eye Disease and Optometry Institute, Peking University People's Hospital, Beijing, China.,Beijing Key Laboratory of Diagnosis and Therapy of Retinal and Choroid Diseases, Beijing, China.,College of Optometry, Peking University Health science center, Beijing, China
| | - Gui-Ying Cao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.,Medical Informatics Center, Peking University, Beijing, China
| | - Shan-Shan Yao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.,Medical Informatics Center, Peking University, Beijing, China
| | - Chunxiu Wang
- Department of Evidence-based Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Zi-Shuo Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.,Medical Informatics Center, Peking University, Beijing, China
| | - Yong-Hua Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.,Medical Informatics Center, Peking University, Beijing, China
| | - Beibei Xu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.,Medical Informatics Center, Peking University, Beijing, China
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