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Prevalence, Causes, and Risk Factors of Presenting Visual Impairment and Presenting Blindness in Adults Presenting to an Examination Center in Suzhou, China. J Ophthalmol 2022; 2022:2885738. [PMID: 36583116 PMCID: PMC9794431 DOI: 10.1155/2022/2885738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Revised: 09/29/2022] [Accepted: 11/16/2022] [Indexed: 12/24/2022] Open
Abstract
Purpose To evaluate the prevalence, causes, and risk factors of presenting visual impairment (PVI) and presenting blindness among adults in Suzhou, China. Methods A total of 43927 subjects were included in this cross-sectional study. Each subject underwent ophthalmic examinations, including presenting visual acuity (PVA), intraocular pressure (IOP), slit-lamp examination, and fundus examination under the small pupils of each eye. Results Using the World Health Organization (WHO) definition, the prevalence of bilateral PVI, bilateral presenting blindness, monocular PVI, and monocular presenting blindness was 1.59% (95% CI, 1.51-1.67), 0.002% (95% CI, 0.0019-0.0021), 3.87% (95% CI, 3.68-4.06), and 0.19% (95% CI, 0.18-0.20), respectively. Using the United States (US) definition, the prevalence of bilateral PVI, bilateral presenting blindness, monocular PVI, and monocular presenting blindness was 5.83% (95% CI, 5.54-6.12), 0.04% (95% CI, 0.038-0.042), 7.43% (95% CI, 7.06-7.80), and 0.45% (95% CI, 0.43-0.47), respectively. The prevalence of PVI was higher in females (WHO criteria, 2.06%, 95% CI, 1.96-2.16; US criteria, 7.27%, 95% CI, 6.91-7.63) than in males (WHO criteria, 1.2%, 95 CI%, 1.14-1.26; US criteria, 4.65%, 95% CI, 4.42-4.89). The leading cause of PVI is an uncorrected refractive error, followed by cataracts and age-related macular degeneration (AMD). Multivariate analysis proved that the prevalence of visual impairment (PVA, better eye, WHO criteria) increased significantly with older age, higher mean arterial pressure (MAP), higher globulin level, and higher fasting blood glucose (FBG). In addition, it also increased significantly with lower hemoglobin, a lower body mass index (BMI), and a lower arterial stiffness index. In this study, serum creatinine, blood urea nitrogen, uric acid, triglycerides, and the systemic immune-inflammation index (SII) showed no association with visual impairment. Conclusion The leading causes of PVI in Suzhou were uncorrected refractive error and cataracts. The prevalence of PVI increased with females, older age, higher MAP, higher FBG, higher globulin, lower hemoglobin, lower BMI, and lower arterial stiffness index.
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Zhang Y, Chen C, Huang L, Liu G, Lian T, Yin M, Zhao Z, Xu J, Chen R, Fu Y, Liang D, Zeng J, Ni J. Associations Among Multimorbid Conditions in Hospitalized Middle-aged and Older Adults in China: Statistical Analysis of Medical Records. JMIR Public Health Surveill 2022; 8:e38182. [PMID: 36422885 PMCID: PMC9732753 DOI: 10.2196/38182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 07/13/2022] [Accepted: 09/10/2022] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND Multimorbidity has become a new challenge for medical systems and public health policy. Understanding the patterns of and associations among multimorbid conditions should be given priority. It may assist with the early detection of multimorbidity and thus improve quality of life in older adults. OBJECTIVE This study aims to comprehensively analyze and compare associations among multimorbid conditions by age and sex in a large number of middle-aged and older Chinese adults. METHODS Data from the home pages of inpatient medical records in the Shenzhen National Health Information Platform were evaluated. From January 1, 2017, to December 31, 2018, inpatients aged 50 years and older who had been diagnosed with at least one of 40 conditions were included in this study. Their demographic characteristics (age and sex) and inpatient diagnoses were extracted. Association rule mining, Chi-square tests, and decision tree analyses were combined to identify associations between multiple chronic conditions. RESULTS In total, 306,264 hospitalized cases with available information on related chronic conditions were included in this study. The prevalence of multimorbidity in the overall population was 76.46%. The combined results of the 3 analyses showed that, in patients aged 50 years to 64 years, lipoprotein metabolism disorder tended to be comorbid with multiple chronic conditions. Gout and lipoprotein metabolism disorder had the strongest association. Among patients aged 65 years or older, there were strong associations between cerebrovascular disease, heart disease, lipoprotein metabolism disorder, and peripheral vascular disease. The strongest associations were observed between senile cataract and glaucoma in men and women. In particular, the association between osteoporosis and malignant tumor was only observed in middle-aged and older men, while the association between anemia and chronic kidney disease was only observed in older women. CONCLUSIONS Multimorbidity was prevalent among middle-aged and older Chinese individuals. The results of this comprehensive analysis of 4 age-sex subgroups suggested that associations between particular conditions within the sex and age groups occurred more frequently than expected by random chance. This provides evidence for further research on disease clusters and for health care providers to develop different strategies based on age and sex to improve the early identification and treatment of multimorbidity.
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Affiliation(s)
- Yan Zhang
- Precision Key Laboratory of Public Health, School of Public Health, Guangdong Medical University, Dongguan, China
- Department of Elderly Health Management, Shenzhen Center for Chronic Disease Control, Shenzhen, China
| | - Chao Chen
- Precision Key Laboratory of Public Health, School of Public Health, Guangdong Medical University, Dongguan, China
- Institute of Public Health and Wellness, Guangdong Medical University, Dongguan, China
| | - Lingfeng Huang
- Precision Key Laboratory of Public Health, School of Public Health, Guangdong Medical University, Dongguan, China
- Institute of Public Health and Wellness, Guangdong Medical University, Dongguan, China
| | - Gang Liu
- Department of Primary Public Health Promotion, Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Tingyu Lian
- Precision Key Laboratory of Public Health, School of Public Health, Guangdong Medical University, Dongguan, China
- Institute of Public Health and Wellness, Guangdong Medical University, Dongguan, China
| | - Mingjuan Yin
- Precision Key Laboratory of Public Health, School of Public Health, Guangdong Medical University, Dongguan, China
- Institute of Public Health and Wellness, Guangdong Medical University, Dongguan, China
| | - Zhiguang Zhao
- Administration Office, Shenzhen Center for Chronic Disease Control, Shenzhen, China
| | - Jian Xu
- Department of Elderly Health Management, Shenzhen Center for Chronic Disease Control, Shenzhen, China
| | - Ruoling Chen
- Faculty of Education, Health and Wellbeing, University of Wolverhampton, Wolverhampton, United Kingdom
| | - Yingbin Fu
- Department of Primary Public Health Promotion, Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Dongmei Liang
- Precision Key Laboratory of Public Health, School of Public Health, Guangdong Medical University, Dongguan, China
- Institute of Public Health and Wellness, Guangdong Medical University, Dongguan, China
| | - Jinmei Zeng
- Precision Key Laboratory of Public Health, School of Public Health, Guangdong Medical University, Dongguan, China
- Institute of Public Health and Wellness, Guangdong Medical University, Dongguan, China
| | - Jindong Ni
- Precision Key Laboratory of Public Health, School of Public Health, Guangdong Medical University, Dongguan, China
- Institute of Public Health and Wellness, Guangdong Medical University, Dongguan, China
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Sun M, Bo Q, Lu B, Sun X, Zhou M. The Association of Sleep Duration With Vision Impairment in Middle-Aged and Elderly Adults: Evidence From the China Health and Retirement Longitudinal Study. Front Med (Lausanne) 2022; 8:778117. [PMID: 35004745 PMCID: PMC8738086 DOI: 10.3389/fmed.2021.778117] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Accepted: 12/08/2021] [Indexed: 12/14/2022] Open
Abstract
Objective: This study aims to investigate the association of sleep duration with vision impairment (VI) in middle-aged and elderly adults. Methods: This cross-sectional study used the data from the baseline survey of the China Health and Retirement Longitudinal Study (CHARLS) 2011–2012, a national survey of adults aged 45 years or older. Weighted multilevel logistic regression models were used to evaluate the association between self-reported sleep duration and VI. Results: Of the 13,959 survey respondents, a total of 4,776 (34.2%) reported VI. The prevalence of short (≤6 h/night) and long (>8 h/night) sleep durations was higher among respondents with VI than those without VI (P < 0.001). Multilevel logistic regression models showed that compared with a sleep duration of 6–8 h/night, a sleep duration of ≤6 h/night was associated with a 1.45-fold [95% confidence interval (CI) = 1.34–1.56] higher VI risk, and a sleep duration of >8 h/night was associated with a 1.18-fold (95% CI = 1.03–1.34) higher VI risk, after adjusting for sociodemographic data, lifestyle factors, and health conditions. Vision impairment was associated with short sleep duration in respondents from all age or gender categories. However, VI was associated with long sleep duration in respondents from the elderly or female categories. The association between VI and long sleep duration disappeared in respondents of middle-aged or male categories. Conclusions: The potential impact of sleep on the risk of visual functions requires further attention. A more comprehensive and integrated health care and rehabilitation system covering vision and sleep is also needed.
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Affiliation(s)
- Mengsha Sun
- Department of Ophthalmology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
| | - Qiyu Bo
- Department of Ophthalmology, Shanghai General Hospital, Shanghai First People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Bing Lu
- Department of Ophthalmology, Shanghai General Hospital, Shanghai First People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaodong Sun
- Department of Ophthalmology, Shanghai General Hospital, Shanghai First People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,National Clinical Research Center for Eye Diseases, Shanghai, China.,Shanghai Key Laboratory of Fundus Diseases, Shanghai, China
| | - Minwen Zhou
- Department of Ophthalmology, Shanghai General Hospital, Shanghai First People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,National Clinical Research Center for Eye Diseases, Shanghai, China.,Shanghai Key Laboratory of Fundus Diseases, Shanghai, China
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Tey KY, Hoang QV, Loh IQ, Dan YS, Wong QY, Yu DJG, Yandri VR, Ang M, Cheung GCM, Lee SY, Wong TY, Chong RS, Wong CW. Multimodal Imaging-Based Phenotyping of a Singaporean Hospital-Based Cohort of High Myopia Patients. Front Med (Lausanne) 2022; 8:670229. [PMID: 35059405 PMCID: PMC8764286 DOI: 10.3389/fmed.2021.670229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2021] [Accepted: 11/22/2021] [Indexed: 11/08/2022] Open
Abstract
Purpose: To assess the effect of axial length (AL) on the prevalence of pathologic myopia (PM) and associated myopic features in a Singaporean hospital-based cohort of patient with high myopia (HM). Methods: In total, 923 HM eyes from 495 individuals were recruited from the Myopic and Pathologic Eyes in Singapore (MyoPES) cohort and underwent ocular biometry, fundus photography, fundus autofluorescence, and swept-source optical coherence tomography (SS-OCT). Images were analyzed for the presence of myopic macular degeneration (MMD), myopic choroidal neovascularization (mCNV), myopic traction maculopathy (MTM), peripapillary atrophy (PPA), myopic tilted disc, posterior staphyloma (PS), dome-shaped macula (DSM), vitremacular adhesions (VMA), and the epiretinal membrane (ERM). Eyes were stratified into quartiles based on ALs to determine cut-off values to perform comparisons between shorter-length and longer-length groups. A χ2-test was done to determine the difference in the prevalence of pathologies between groups. Results: Overall, mean AL was 29.2 ± 2.2 mm (range 25.0-36.7 mm). Myopic macular degeneration, PPA, myopic tilted disc, and ERM have AL threshold of ≥27.5 mm, whereas MTM has an AL threshold of ≥29.0 mm. We found that there was a significantly higher prevalence of MMD (88.2 vs. 49.4%; p < 0.001), PPA (98.1 vs. 80.1%; p < 0.001), myopic tilted disc (72.7 vs. 50.2%; p < 0.001), and ERM (81.4 vs. 17.3%; p = 0.003) in eyes with AL ≥ 27.5 mm vs. eyes without AL <27.5 mm. Prevalence of MTM (34.7 vs. 32.1%; p < 0.001), mCNV (17.4 vs. 12.1%; p = 0.03), PS (43.4 vs. 34.7%; p = 0.012), DSM (21.3 vs. 13.2%; p = 0.002), and VMA (5.9 vs. 2.6%; p = 0.014) in eyes with AL ≥ 29.0 mm compared with AL < 29.0 mm. Conclusion: Our study describes the overall prevalence of PM and related pathologies among patients with HM in our hospital-based cohort. Longer eyes even among HM eyes had a significantly higher prevalence of PM-associated pathologies studied. This supports the premise that eyes with longer AL, even among HM eyes may be at greater risk of vision-threatening changes and therefore merit regular follow-up.
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Affiliation(s)
- Kai Yuan Tey
- Singapore Eye Research Institute, Singapore National Eye Centre, Duke-NUS Medical School, Singapore, Singapore
| | - Quan V. Hoang
- Singapore Eye Research Institute, Singapore National Eye Centre, Duke-NUS Medical School, Singapore, Singapore,Department of Ophthalmology, Columbia University College of Physicians and Surgeons, New York, NY, United States,Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore,*Correspondence: Quan V. Hoang
| | - Isabella Q. Loh
- Singapore Eye Research Institute, Singapore National Eye Centre, Duke-NUS Medical School, Singapore, Singapore
| | - Yee Shan Dan
- Singapore Eye Research Institute, Singapore National Eye Centre, Duke-NUS Medical School, Singapore, Singapore
| | - Qiu Ying Wong
- Singapore Eye Research Institute, Singapore National Eye Centre, Duke-NUS Medical School, Singapore, Singapore
| | - Daryle Jason G. Yu
- Singapore Eye Research Institute, Singapore National Eye Centre, Duke-NUS Medical School, Singapore, Singapore
| | - Vivi R. Yandri
- Singapore Eye Research Institute, Singapore National Eye Centre, Duke-NUS Medical School, Singapore, Singapore
| | - Marcus Ang
- Singapore Eye Research Institute, Singapore National Eye Centre, Duke-NUS Medical School, Singapore, Singapore
| | - Gemmy C. M. Cheung
- Singapore Eye Research Institute, Singapore National Eye Centre, Duke-NUS Medical School, Singapore, Singapore
| | - Shu Yen Lee
- Singapore Eye Research Institute, Singapore National Eye Centre, Duke-NUS Medical School, Singapore, Singapore
| | - Tien Yin Wong
- Singapore Eye Research Institute, Singapore National Eye Centre, Duke-NUS Medical School, Singapore, Singapore
| | | | - Rachel S. Chong
- Singapore Eye Research Institute, Singapore National Eye Centre, Duke-NUS Medical School, Singapore, Singapore
| | - Chee Wai Wong
- Singapore Eye Research Institute, Singapore National Eye Centre, Duke-NUS Medical School, Singapore, Singapore
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Gao R, Chen S, Yan S, Lu T, Chen H, Feng Q, Wang Q, Sun Y, Huang J, Khadka J. Psychometric Assessment of the Chinese Version of the Indian Vision Functioning Questionnaire Based on the Method of Successive Dichotomizations. Transl Vis Sci Technol 2021; 10:8. [PMID: 34100924 PMCID: PMC8196417 DOI: 10.1167/tvst.10.7.8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
Abstract
Purpose The purpose of this study was to assess whether a Chinese translated version of the 33-item Indian Vision Function Questionnaire (IND-VFQ-33) forms a valid measurement scale and to evaluate its psychometric properties based on the method of successive dichotomizations (MSD). Methods The English version of the IND-VFQ-33 was translated, back translated, and cross-culturally adapted for use in China. It was interviewer administered to patients with cataracts. MSD, a polytomous Rasch model that estimates ordered thresholds, was used to assess and optimize psychometric properties of the overall scale and three subscales separately. Results One hundred and seventy-nine patients provided complete responses. After the removal of 2 misfitting items, a revised 31-item overall scale demonstrated adequate precision (person reliability [PR] = 0.92) and no misfitting items. The general functioning subscale fit the MSD model well after removing two misfitting items. The psychosocial impact subscale and the visual symptoms subscale were not considered further due to poor measurement precision. After addressing psychometric deficiencies, a 31-item overall scale (IND-VFQ-31-CN) and a 19-item general functioning subscale (IND-VFQ-GF-19-CN) were developed. Conclusions The original IND-VFQ-33 required re-engineering to form valid measures for use in China. The revised overall scale and general functioning subscale demonstrated adequate MSD based psychometric properties. Translational Relevance The revised IND-VFQ-33 is a valid patient-reported outcome assessment for Chinese patients with cataract based on MSD analysis.
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Affiliation(s)
- Rongrong Gao
- Eye Hospital and School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Sisi Chen
- Eye Hospital and School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Shixiang Yan
- Eye Hospital and School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Tianhao Lu
- Eye Hospital and School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Haisi Chen
- Eye Hospital and School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Qi Feng
- Eye Hospital and School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Qinmei Wang
- Eye Hospital and School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Yong Sun
- Shenzhen Hospital of Integrated Traditional and Western Medicine, Shenzhen, China
| | - Jinhai Huang
- Eye Hospital and School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Jyoti Khadka
- Eye Hospital and School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou, Zhejiang, China.,Health and Social Care Economics Group, College of Nursing and Health Sciences, Flinders University, Adelaide, Australia.,Registry of Senior Australians, South Australian Health and Medical Research Institute, Adelaide, Australia.,Business School, University of South Australia, Adelaide, Australia
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Meng X, Zhou W, Sun Z, Han Q, Zhang J, Zhang H, Wang W, Zhong M, Wang M, Zhang J, Hao J, Han H, Zhao X, Hu X, Zhu X, Li J, Wang T, Huang Y, Liao M, Song Y, Yan H. Prevalence and causes of bilateral visual impairment in rural areas of Tianjin, China - The Tianjin Eye Study. Acta Ophthalmol 2021; 99:e136-e143. [PMID: 32602247 DOI: 10.1111/aos.14523] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2020] [Revised: 05/27/2020] [Accepted: 05/28/2020] [Indexed: 11/28/2022]
Abstract
PURPOSE To estimate the prevalence, causes and risk factors of bilateral visual impairment in rural areas of Tianjin, China. METHODS A large population-based, cross-sectional study. A stratified random cluster sampling method was used to investigate 12 233 participants in all age groups living in rural Tianjin. Participants completed questionnaires and received professional ophthalmology examinations. RESULTS According to World Health Organization best-corrected visual acuity (BCVA) criteria, the crude prevalence of bilateral visual impairment (BCVA < 20/63), bilateral low vision (BCVA < 20/63 to ≥20/400) and bilateral blindness (BCVA < 20/400) was 2.53%, 2.40% and 0.14% (age- and gender-standardized prevalence was 1.86%, 1.76% and 0.11%). The prevalence increased with age and was higher in women than men. The most common causes of bilateral visual impairment in the total population were cataract (48.39%), refractive error/amblyopia (17.74%), age-related macular degeneration (AMD) (10.00%), diabetic retinopathy (5.81%) and glaucoma (3.87%). For participants younger than 50 years, refractive error/amblyopia was the leading cause of low vision and blindness, while cataract was the major cause in the participants over 50. Female gender, older age and self-reported diabetes were associated with increased risks of visual impairment. CONCLUSION The age- and gender-standardized prevalence of low vision, especially in the older group (50+), was higher in this study compared with previous studies in China. Refractive error/amblyopia was the leading cause of bilateral visual impairment in younger group, while cataract was the primary cause in the older group. These findings will provide useful information for planning comprehensive eye healthcare programmes in China.
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Affiliation(s)
- Xiangda Meng
- Department of Ophthalmology Tianjin Medical University General Hospital Tianjin China
| | - Wei Zhou
- Department of Ophthalmology Tianjin Medical University General Hospital Tianjin China
| | - Zhuoyu Sun
- Department of Epidemiology and Statistics School of Public Health Tianjin Medical University Tianjin China
| | - Qi Han
- Department of Ophthalmology Tianjin Medical University General Hospital Tianjin China
| | - Jingkai Zhang
- Department of Ophthalmology Tianjin Medical University General Hospital Tianjin China
| | - Hongwen Zhang
- Department of Ophthalmology The People’s Hospital of Jizhou District Tianjin China
| | - Weijuan Wang
- Department of Ophthalmology Binhai Hospital of Tianjin Medical University General Hospital Tianjin China
| | - Min Zhong
- Department of Ophthalmology Jinghai Hospital Tianjin China
| | - Meiyan Wang
- Department of Ophthalmology Tianjin Haibin People’s Hospital Tianjin China
| | - Junlan Zhang
- Department of Ophthalmology The People’s Hospital of Wuqing District Tianjin China
| | - Jing Hao
- Department of Ophthalmology Tianjin Medical University General Hospital Tianjin China
| | - Han Han
- Department of Ophthalmology Tianjin Medical University General Hospital Tianjin China
| | - Xiao Zhao
- Department of Ophthalmology Tianjin Medical University General Hospital Tianjin China
| | - Xingxing Hu
- Department of Ophthalmology Tianjin Medical University General Hospital Tianjin China
| | - Xinlei Zhu
- Department of Ophthalmology Tianjin Medical University General Hospital Tianjin China
| | - Jianan Li
- Department of Ophthalmology Tianjin Medical University General Hospital Tianjin China
| | - Tian Wang
- Department of Ophthalmology Tianjin Medical University General Hospital Tianjin China
| | - Yunli Huang
- Department of Ophthalmology Tianjin Medical University General Hospital Tianjin China
| | - Mengyu Liao
- Department of Ophthalmology Tianjin Medical University General Hospital Tianjin China
| | - Yinting Song
- Department of Ophthalmology Tianjin Medical University General Hospital Tianjin China
| | - Hua Yan
- Department of Ophthalmology Tianjin Medical University General Hospital Tianjin China
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Cai JM, Ye Y, Liang P, Zhang T, Zheng JH, Wang J, Zhao J. Frequency of presenting visual acuity and visual impairment in Chinese college students. Int J Ophthalmol 2020; 13:1990-1997. [PMID: 33344201 DOI: 10.18240/ijo.2020.12.22] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2020] [Accepted: 10/12/2020] [Indexed: 11/23/2022] Open
Abstract
AIM To obtain the baseline data on presenting visual acuity (PVA) and evaluate the prevalence and associated factors for visual impairment based on PVA in 9070 Chinese college students. METHODS The freshmen at a university in southern China, including 6527 undergraduate students and 2543 graduate students, were investigated for some socio-demographic characteristics and underwent routine medical examination, including measuring PVA, height, and weight. Visual impairment was defined according to the new World Health Organization criteria for blindness and visual impairment. RESULTS In 9070 college students, the mean PVA in the better eye was 0.094±0.163 logMAR. The prevalence of visual impairment based on PVA was 2.7%. Only 38.3% college students had normal visual acuity [PVA equal to 0 logMAR (20/20) in both eyes]. There were 69.8% of students wearing spectacles. Logistic regression showed that home region (non-Guangdong provinces, P<0.0001, OR=1.70) was risk factor for visual impairment while BMI (P=0.001, OR=0.92) was protective factor from visual impairment. Ethnicity (Han Chinese, P<0.0001, OR=3.17) was risk factor for wearing spectacles while age (P=0.01, OR=0.90) was protective factor from wearing spectacles. CONCLUSION This study provides the baseline data on PVA and the prevalence of visual impairment in Chinese college students. Our analyses reveal that BMI and home region are associated factors for visual impairment based on PVA, while age and ethnicity are associated factors for wearing spectacles.
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Affiliation(s)
- Jia-Min Cai
- School of Ophthalmology & Optometry Affiliated to Shenzhen University, Shenzhen Eye Hospital, Shenzhen 518040, Guangdong Province, China
| | - Ye Ye
- School of Ophthalmology & Optometry Affiliated to Shenzhen University, Shenzhen Eye Hospital, Shenzhen 518040, Guangdong Province, China
| | - Ping Liang
- School of Ophthalmology & Optometry Affiliated to Shenzhen University, Shenzhen Eye Hospital, Shenzhen 518040, Guangdong Province, China
| | - Tong Zhang
- School of Ophthalmology & Optometry Affiliated to Shenzhen University, Shenzhen Eye Hospital, Shenzhen 518040, Guangdong Province, China
| | - Jian-Hui Zheng
- School of Ophthalmology & Optometry Affiliated to Shenzhen University, Shenzhen Eye Hospital, Shenzhen 518040, Guangdong Province, China
| | - Jiao Wang
- School of Ophthalmology & Optometry Affiliated to Shenzhen University, Shenzhen Eye Hospital, Shenzhen 518040, Guangdong Province, China
| | - Jun Zhao
- School of Ophthalmology & Optometry Affiliated to Shenzhen University, Shenzhen Eye Hospital, Shenzhen 518040, Guangdong Province, China
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Multimorbidity among Two Million Adults in China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17103395. [PMID: 32414117 PMCID: PMC7277827 DOI: 10.3390/ijerph17103395] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Revised: 05/04/2020] [Accepted: 05/11/2020] [Indexed: 12/19/2022]
Abstract
To explore the multimorbidity prevalence and patterns among middle-aged and older adults from China. Data on thirteen chronic diseases were collected from 2,097,150 participants aged over 45 years between January 1st 2011 and December 31st 2015 from Beijing Medical Claim Data for Employees. Association rule mining and hierarchical cluster analysis were applied to assess multimorbidity patterns. Multimorbidity prevalence was 51.6% and 81.3% in the middle-aged and older groups, respectively. The most prevalent disease pair was that of osteoarthritis and rheumatoid arthritis (OARA) with hypertension (HT) (middle-aged: 22.5%; older: 41.8%). Ischaemic heart disease (IHD), HT, and OARA constituted the most common triad combination (middle-aged: 11.0%; older: 31.2%). Among the middle-aged group, the strongest associations were found in a combination of cerebrovascular disease (CBD), OARA, and HT with IHD in males (lift = 3.49), and CBD, OARA, and COPD with IHD in females (lift = 3.24). Among older patients, glaucoma and cataracts in females (lift = 2.95), and IHD, OARA, and glaucoma combined with cataracts in males (lift = 2.45) were observed. Visual impairment clusters, a mixed cluster of OARA, IHD, COPD, and cardiometabolic clusters were detected. Multimorbidity is prevalent among middle-aged and older Chinese individuals. The observations of multimorbidity patterns have implications for improving preventive care and developing appropriate guidelines for morbidity treatment.
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Chen X, Zhou DY, Shen J, Wu YB, Sun QZ, Dong JM, Yu JC. Prevalence and risk factors on age-related cataract and surgery in adults over 50 years old in Binhu District, Wuxi, China. Int J Ophthalmol 2020; 13:445-451. [PMID: 32309182 DOI: 10.18240/ijo.2020.03.12] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2019] [Accepted: 12/11/2019] [Indexed: 01/11/2023] Open
Abstract
AIM To investigate the prevalence and risk factors of age-related cataract (ARC), ARC surgery procedures, and postoperative vision results among adults over 50 years old in the Binhu District of Wuxi City, China. METHODS Thirty basic sampling units were analyzed via a cluster random sampling method. Detailed medical histories were collected and eye examinations were performed. Cataract prevalence and surgical procedures were quantified. RESULTS Among the 6150 participants, 1421 cataract cases were diagnosed and prevalence was 23.1%. The prevalence of cortical, nuclear, and posterior subcapsular cataracts increased with age (P<0.001). Cataract prevalence was significantly higher among elderly, female, or illiterate individuals and people with hypertension, diabetes, and a history of smoking and drinking (all P<0.05). As participant age increased and education level decreased, the frequency of cataract blindness surgeries gradually decreased, but without statistical significance within groups (P>0.05). The odds ratio of cataract patients who had or did not have cataract surgery was 3.15 (87/28) and the frequency of cataract blindness surgery was 75.7% (87/115). Poor visual outcomes was in 107 eyes (40.7%) after cataract surgery. Poor vision was mostly caused by uncorrected reflective errors (30.9%) and ocular comorbidities (41.1%). The prevalence of cataract surgery complications was 5.7% (15/263). Surgical complications and posterior capsular opacification were avoidable factors facilitating poor vision. CONCLUSION ARC, especially in females and illiterate individuals, presents a public health problem in this district. Poor visual outcomes after cataract surgery are frequent. High-quality cataract surgeries and treatment of ocular comorbidities are vital.
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Affiliation(s)
- Xing Chen
- Department of Ophthalmology, Wuxi 9th Affiliated Hospital of Soochow University, Wuxi 214062, Jiangsu Province, China
| | - Dan-Ying Zhou
- Department of Ophthalmology, Wuxi 9th Affiliated Hospital of Soochow University, Wuxi 214062, Jiangsu Province, China
| | - Jian Shen
- Department of Ophthalmology, Wuxi 9th Affiliated Hospital of Soochow University, Wuxi 214062, Jiangsu Province, China
| | - Yan-Bing Wu
- Department of Ophthalmology, Wuxi 9th Affiliated Hospital of Soochow University, Wuxi 214062, Jiangsu Province, China
| | - Qing-Zhu Sun
- Department of Ophthalmology, Wuxi 9th Affiliated Hospital of Soochow University, Wuxi 214062, Jiangsu Province, China
| | - Jian-Min Dong
- Department of Ophthalmology, Wuxi 9th Affiliated Hospital of Soochow University, Wuxi 214062, Jiangsu Province, China
| | - Jian-Chun Yu
- Department of Ophthalmology, Wuxi 9th Affiliated Hospital of Soochow University, Wuxi 214062, Jiangsu Province, China
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