scholarly journals The Association of Sleep Duration With Vision Impairment in Middle-Aged and Elderly Adults: Evidence From the China Health and Retirement Longitudinal Study

2021 ◽  
Vol 8 ◽  
Author(s):  
Mengsha Sun ◽  
Qiyu Bo ◽  
Bing Lu ◽  
Xiaodong Sun ◽  
Minwen Zhou
Keyword(s):  
Logistic Regression ◽  
Longitudinal Study ◽  
Sleep Duration ◽  
Regression Models ◽  
Vision Impairment ◽  
Multilevel Logistic Regression ◽  
Elderly Adults ◽  
Middle Aged ◽  
Logistic Regression Models ◽  
Long Sleep

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.

scholarly journals The Association of Sleep Duration with Visual Impairment in Middle-aged and Elderly Adults: The China Health and Retirement Longitudinal Baseline

2021 ◽  
Author(s):  
Mengsha Sun ◽  
Qiyu Bo ◽  
Bing Lu ◽  
Xiaodong Sun ◽  
minwen zhou
Keyword(s):  
Logistic Regression ◽  
Visual Impairment ◽  
Sleep Disorders ◽  
Sleep Duration ◽  
Regression Models ◽  
Multilevel Logistic Regression ◽  
Short Sleep Duration ◽  
Logistic Regression Models ◽  
Short Sleep ◽  
Long Sleep

Abstract Background Sleep disorders may heighten the risk of visual impairment to further impact health outcomes. Little is known regarding the association of visual impairment with sleep disorders in China. Our objective was to examine the association of visual impairment with sleep disorders. Methods This cross-sectional study used the data from 13264 respondents to the 2011 survey of the China Health and Retirement Longitudinal Study, a nationally representative survey of adults aged 45 years or older. Visual impairment (VI) and sleep duration were examined using self-reported questionnaires. Respondents were identified as having VI if they reported blindness or partial blindness. With regards to sleep duration, participants were categorized into three groups: 1) those reporting short sleep duration (≤ 6 hours/night), 2) those reporting long sleep duration (> 8 hours/night), and 3) those reporting 6 to 8 hours of sleep per night (used as the reference group). Weighted multilevel logistic regression models, adjusting for sociodemographic characteristics, health behaviors, and medical history, were used. Results Of 13,264 respondents, 6,880 (51.9%) were women. The mean, standard deviation (SD) age was 59.39 (9.71) years. A total of 842 (6.3%) of respondents reported VI. The prevalence of short and long sleep duration was significantly higher among respondents with VI than those without VI (P < 0.001). The associations also persisted after stratifying the sample by age or sex. Multilevel logistic regression models showed that compared with 6–8 h/night of sleep, sleep duration of ≤ 6h/night was associated with a 1.19-fold (95% confidence interval (CI) = 1.02–1.40) higher VI risk, and sleep duration of > 8 h/night was associated with a 1.36-fold (95% CI = 1.05–1.75) higher VI risk. Higher risk of VI was associated with short (odds ratio [OR] = 1.34, 95% CI: 1.04–1.73) and long (OR = 1.60, 95% CI: 1.04–2.44) sleep durations in middle-aged respondents, as well as short sleep duration (OR = 1.27, 95% CI: 1.05–1.55) in elderly respondents. However, the association between VI and long sleep duration (OR = 1.34, 95% CI = 0.97–1.84) was absent in elderly respondents. Conclusion In this study, both short and long sleep durations were associated with VI. More comprehensive and integrated health care and rehabilitation systems covering vision and sleep are needed to address age-related VI.

scholarly journals Study of risk factors affecting both hypertension and obesity outcome by using multivariate multilevel logistic regression models

2016 ◽  
Vol 19 (3) ◽  
pp. 385-397 ◽  
Author(s):  
Sepedeh Gholizadeh ◽  
Abbas Moghimbeigi ◽  
Jalal Poorolajal ◽  
Mohammadali Khjeian ◽  
Fatemeh Bahramian ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Models ◽  
Multilevel Logistic Regression ◽  
Factors Affecting ◽  
Logistic Regression Models

scholarly journals Relationship Between Sleep and Arthritis in a Middle-aged and Older Chinese Population- the China Health and Retirement Longitudinal Study

2021 ◽  
Author(s):  
Chunnan Li ◽  
Shang shaomei
Keyword(s):  
Logistic Regression ◽  
Longitudinal Study ◽  
Protective Effect ◽  
Sleep Duration ◽  
Chinese Population ◽  
P Value ◽  
Confounding Factors ◽  
Middle Aged ◽  
Older Chinese ◽  
The Relationship

Abstract Objective. To evaluate the relationship between sleep duration, sleep restless and arthritis in middle-aged and older Chinese population. Methods. A total of 4957 middle-aged and elderly people aged 45 years and above from The China Health and Retirement Longitudinal Study (CHARLS) wave 3 were included. Multivariable logistic regression was used to calculate adjusted odds ratios (ORs) and 95 % confidence intervals (CIs) for arthritis. Results. Sleep duration was shown to have a U-shaped association with arthritis after adjusting confounding factors. Compared with <5h sleep duration per night, ORs (95 % CIs) of sleep duration 5-7,7-8 and 8-9 h per night for arthritis were 0.61 (0.52– 0.73, P value <0.001) ,0.47 (0.38-0.58, P value <0.001),0.50 (0.41,0.60, P value <0.001)and 0.50 (0.39–0.64, P value <0.001), respectively. Sleep restless was positively correlated with the prevalence of arthritis. After stratification according to sleep restless status, for those without sleep restless, 8-9 hours duration (OR=0.55, 95 % CI 0.39-0.78,P value=0.001)had the best protective effect on arthritis, while7-8 hours duration (OR=0.45, 95 % CI 0.34-0.60,P value <0.001)was best in people with sleep restless. Conclusion. In middle aged and old Chinese population, sleep duration is U-shaped associated with arthritis, and sleep restless affect the correlation.

scholarly journals 1400Central but not general obesity is positively associated with risk of hyperhomocysteinemia in middle-aged women

2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Yingying Wang
Keyword(s):  
Cardiovascular Disease ◽  
Logistic Regression ◽  
Regression Models ◽  
Central Obesity ◽  
Multiple Logistic Regression ◽  
Obese Women ◽  
General Obesity ◽  
Middle Aged ◽  
Logistic Regression Models ◽  
The Relationship

Abstract Background Obesity and homocysteine (Hcy) are two important risk factors for cardiovascular disease (CVD); however, there were conflicting results for the relationship between them. Our study is to explore the associations of general and central obesity with hyperhomocysteinemia (HHcy) in middle-aged women. Methods The current analysis was based on data from 11007 women aged 40-60 years. Height, weight, and waist circumference (WC) were measured and serum homocysteine was determined. Multiple logistic regression models were used to assess the associations of the risk of hyperhomocysteinemia (HHcy, Hcy&gt;15μmol/L) with BMI and WC. Results 13.71% women had HHcy. The prevalences of BMI-based general obesity and WC-based central obesity were 11.17% and 22.88%, respectively. Compared with non-obese women, the mean serum Hcy concentration was significantly higher in WC-based central obese women (P = 0.002), but not in BMI-based general obese women (P &gt; 0.05). In the multiple logistic regression models, central obesity was positively related to the risk of HHcy (OR = 1.30, 95%CI=1.10 to 1.52), while general obesity was inversely related to the risk of HHcy (OR = 0.82, 95%CI=0.72 to 0.93 and OR = 0.71,95% CI = 0.57 to 0.89). Conclusions Central obesity was positively, while general obesity was negatively related to the risk of HHcy. Menopause showed no effect modification on these associations. Key messages Homocysteine; Central obesity; Menopause; Cardiovascular Disease

scholarly journals Sample size issues in multilevel logistic regression models

PLoS ONE ◽  
2019 ◽  
Vol 14 (11) ◽  
pp. e0225427 ◽  
Author(s):  
Amjad Ali ◽  
Sabz Ali ◽  
Sajjad Ahmad Khan ◽  
Dost Muhammad Khan ◽  
Kamran Abbas ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Sample Size ◽  
Regression Models ◽  
Multilevel Logistic Regression ◽  
Logistic Regression Models

scholarly journals Frail by different measures: a comparison of 8-year mortality in The Irish Longitudinal Study on Ageing (TILDA)

2021 ◽  
Author(s):  
Roman Romero-Ortuno ◽  
Peter Hartley ◽  
Rose Anne Kenny ◽  
Aisling M. O’Halloran
Keyword(s):  
Logistic Regression ◽  
Longitudinal Study ◽  
Regression Models ◽  
Frailty Index ◽  
Binary Logistic Regression ◽  
Clinical Frailty Scale ◽  
Frailty Phenotype ◽  
Logistic Regression Models

Abstract Purpose We compared the ability of four frailty identification tools (frailty phenotype: FP; FRAIL scale; 32-item Frailty Index: FI; and Clinical Frailty Scale: CFS) to predict 8-year mortality in TILDA. Methods We included wave 1 (2010) participants with data for all four tools. Mortality was ascertained at wave 5 (2018). Age, sex and education-adjusted binary logistic regression models were computed. Results At baseline, there were 5700 participants (mean age 63, range 50–98, 54% women). Frailty prevalences were 2.3% by FRAIL, 3.8% by FP, 10.9% by CFS, and 12.8% by FI. Mortality was 41.2%, 44.9%, 25.3% and 27.0%, respectively. The highest adjusted OR for mortality was for FRAIL (OR 4.48, 95% CI 2.93–6.85, P < 0.001), followed by FP (OR 3.55, 95% CI 2.52–5.00, P < 0.001), FI (OR 2.10, 95% CI 1.68–2.62, P < 0.001), and CFS (OR 1.88, 95% CI 1.48–2.38, P < 0.001). Conclusions All tools significantly predicted mortality, but FRAIL and FP seemed more specific.

scholarly journals Determinants of Contraceptive Practice in Oman by Using Multilevel Modeling

2015 ◽  
Vol 20 (1) ◽  
pp. 83 ◽  
Author(s):  
Moza S. Al-Balushi ◽  
Mohammed S. Ahmed ◽  
M. Mazharul Islam
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Regional Variation ◽  
Regression Models ◽  
Logistic Regression Model ◽  
Contraceptive Use ◽  
Multilevel Logistic Regression ◽  
Logistic Regression Models ◽  
Living Children ◽  
Multilevel Logistic Regression Model

In this paper, multilevel logistic regression models are developed for examining the hierarchical effects of contraceptive use and its selected determinants in Oman using the 2008 Oman National Reproductive Health Survey (ONRHS). Comparison between single level and multilevel logistic regression models has been made to examine the plausibility of multilevel effects of contraceptive use. From the multilevel logistic regression model analysis, it was found that there is real multilevel variation among contraceptive users in Oman. The results indicate that a multilevel logistic regression model is the best fit over ordinary multiple logistic regression models. Generally, this study revealed that women’s age, education, number of living children and region of residence are important factors that affect contraceptive use in Oman. The effect of regional variation for age of women, education of women and number of living children further implies that there exists considerable differences in modern contraceptive use among regions, and a model with a random coefficient or slope is more appropriate to explain the regional variation than a model with fixed coefficients or without random effects. The study suggests that researchers should use multilevel models rather than traditional regression methods when their data structure is hierarchal.  

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