scholarly journals Neighborhood’s locality, road types, and residents’ multimorbidity: evidence from China’s middle-aged and older adults

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Xuexin Yu ◽  
Wei Zhang

Abstract Background Neighborhood factors have gained increasing attention, while the association between the neighborhood’s characteristics and multimorbidity has not been clarified. In this study, we aim to depict variations in the number of non-communicable chronic diseases (NCDs) as a function of urban vs. rural settings and road types. Methods The present cross-sectional study derived data from the China Health and Retirement Longitudinal Study 2011 National Baseline Survey. Negative binomial regression with clustered robust standard errors was performed to analyze variations in the number of NCDs among 13,414 Chinese middle-aged and older adults. Logistic regression models were employed to investigate the association between neighborhood-level characteristics and each NCD, respectively. Results First, over 65% of subjects had at least one NCDs, and over 35% had multimorbidity. Arthritis (33.08%), hypertension (24.54%), and digestive disease (21.98%) were the most prevalent NCDs. Urban vs. rural differences in multimorbidity were fully explained by neighborhood clustering variations (IRR = 1.02, 95% CI, 0.95–1.10). Living with paved roads was associated with a smaller number of NCDs relative to living with unpaved roads (IRR = 0.86, 95% CI, 0.78–0.95). Results from subgroup analyses suggested that in comparison with those living with unpaved roads, individuals living with paved roads respectively had lower odds of chronic lung disease (OR = 0.76, 95% CI, 0.63–0.93), chronic liver disease (OR = 0.74, 95% CI, 0.55–0.99), chronic kidney disease (OR = 0.68, 95% CI, 0.51–0.89), digestive disease (OR = 0.82, 95% CI, 0.69–0.97), arthritis or rheumatism (OR = 0.69, 95% CI, 0.55–0.87), and asthma (OR = 0.67, 95% CI, 0.51–0.88). Conclusions Urban vs. rural disparities in multimorbidity appeared to result from within-neighborhoods characteristics. The improvement in neighborhood-level characteristics, such as road pavement, holds promise to alleviate the increasing disease burden of chronic diseases.

2020 ◽  
Author(s):  
Xuexin Yu ◽  
Wei Zhang

Abstract Background Neighborhood factors have gained increasing attention, while the association between the neighborhood's characteristics and multimorbidity has not been clarified. In this study, we aim to depict variations in the number of non-communicable chronic diseases (NCDs) as a function of urban vs. rural settings and road types.Methods The present cross-sectional study derived data from the China Health and Retirement Longitudinal Study 2011 National Baseline Survey. Negative binomial regression with clustered robust standard errors was performed to analyze variations in the number of NCDs among 13,414 Chinese middle-aged and older adults. Logistic regression models were employed to investigate the association between neighborhood-level characteristics and each NCD, respectively. Results First, over 65% of subjects had at least one NCDs, and over 35% had multimorbidity. Arthritis (33.08%), hypertension (24.54%), and digestive disease (21.98%) were the most prevalent NCDs. Urban vs. rural differences in multimorbidity were fully explained by neighborhood clustering variations (IRR = 1.02, 95% CI, 0.95 - 1.10). Living with paved roads was associated with a smaller number of NCDs relative to living with unpaved roads (IRR = 0.86, 95% CI, 0.78 - 0.95). Results from subgroup analyses suggested that in comparison with those living with unpaved roads, individuals living with paved roads respectively had lower odds of chronic lung disease (OR = 0.76, 95% CI, 0.63 - 0.93), chronic liver disease (OR = 0.74, 95% CI, 0.55 - 0.99), chronic kidney disease (OR = 0.68, 95% CI, 0.51 - 0.89), digestive disease (OR = 0.82, 95% CI, 0.69 - 0.97), arthritis or rheumatism (OR = 0.69, 95% CI, 0.55 - 0.87), and asthma (OR = 0.67, 95% CI, 0.51 - 0.88). Conclusions Urban vs. rural disparities in multimorbidity appeared to result from within-neighborhoods characteristics. The improvement in neighborhood-level characteristics, such as road pavement, holds promise to alleviate the increasing disease burden of chronic diseases.


2020 ◽  
Author(s):  
Xuexin Yu ◽  
Wei Zhang

Abstract Background Neighborhood factors have gained increasing attention, while the association between the neighborhood's characteristics and multimorbidity has not been clarified. In this study, we aim to depict variations in the number of non-communicable chronic diseases (NCDs) as a function of urban vs. rural settings and road types.Methods The present cross-sectional study derived data from the China Health and Retirement Longitudinal Study 2011 National Baseline Survey. Negative binomial regression with clustered robust standard errors was performed to analyze variations in the number of NCDs among 13,414 Chinese middle-aged and older adults. Logistic regression models were employed to investigate the association between neighborhood-level characteristics and each NCD, respectively. Results First, over 65% of subjects had at least one NCDs, and over 35% had multimorbidity. Arthritis (33.08%), hypertension (24.54%), and digestive disease (21.98%) were the most prevalent NCDs. Urban vs. rural differences in multimorbidity were fully explained by neighborhood clustering variations (IRR = 1.02, 95% CI, 0.95 - 1.10). Living with paved roads was associated with a smaller number of NCDs relative to living with unpaved roads (IRR = 0.86, 95% CI, 0.78 - 0.95). Results from subgroup analyses suggested that in comparison with those living with unpaved roads, individuals living with paved roads respectively had lower odds of chronic lung disease (OR = 0.76, 95% CI, 0.63 - 0.93), chronic liver disease (OR = 0.74, 95% CI, 0.55 - 0.99), chronic kidney disease (OR = 0.68, 95% CI, 0.51 - 0.89), digestive disease (OR = 0.82, 95% CI, 0.69 - 0.97), arthritis or rheumatism (OR = 0.69, 95% CI, 0.55 - 0.87), and asthma (OR = 0.67, 95% CI, 0.51 - 0.88). Conclusions Urban vs. rural disparities in multimorbidity appeared to result from within-neighborhoods characteristics. The improvement in neighborhood-level characteristics, such as road pavement, holds promise to alleviate the increasing disease burden of chronic diseases.


2020 ◽  
Author(s):  
Xuexin Yu ◽  
Wei Zhang

Abstract Background: Neighborhood factors have gained increasing attention, while the association between the neighborhood's characteristics and multimorbidity has not been clarified. In this study, we aim to depict variations in the number of non-communicable chronic diseases (NCDs) as a function of urban vs. rural settings and road types.Methods: The present cross-sectional study derived data from the China Health and Retirement Longitudinal Study 2011 National Baseline Survey. Negative binomial regression with clustered robust standard errors was performed to analyze variations in the number of NCDs among 13,414 Chinese middle-aged and older adults. Multilevel logistic regression was employed to investigate the association between neighborhood-level characteristics and each NCD, respectively. Results: First, over 65% of subjects had at least one NCDs, and over 35% had multimorbidity. Arthritis (33.08%), hypertension (24.54%), and digestive disease (21.98%) were the most prevalent NCDs. Urban vs. rural differences in multimorbidity were fully explained by neighborhood clustering variations (IRR = 1.02, 95% CI, 0.95 - 1.10). Lastly, living with paved roads was associated with a smaller number of NCDs relative to living with unpaved roads (IRR = 0.86, 95% CI, 0.78 - 0.95). Results from subgroup analyses suggested that in comparison with those living with unpaved roads, individuals living with paved roads respectively had lower odds of chronic lung disease (OR = 0.76, 95% CI, 0.63 - 0.93), chronic liver disease (OR = 0.74, 95% CI, 0.55 - 0.99), chronic kidney disease (OR = 0.68, 95% CI, 0.51 - 0.89), digestive disease (OR = 0.82, 95% CI, 0.69 - 0.97), arthritis or rheumatism (OR = 0.69, 95% CI, 0.55 - 0.87), and asthma (OR = 0.67, 95% CI, 0.51 - 0.88). Conclusion: Urban vs. rural disparities in multimorbidity appeared to result from within-neighborhoods characteristics. The improvement in neighborhood-level characteristics, such as road quality, holds promise to alleviate the increasing disease burden of chronic diseases.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 833-833
Author(s):  
Xiaomin Qu ◽  
Bei Wu ◽  
Jiaojiao Yu ◽  
Haidong Zhang

Abstract This study investigated the association between socioeconomic status (SES) and tooth loss in middle-aged and older adults by migrant status. The sample included 2,390 participants aged 45-65 from the 2017 Urbanization and New Migrant Survey conducted from 10 cities in China. Results from the negative binomial regression and the marginal effect analysis showed that education, income, and residence in a developed city were negatively associated with tooth loss for non-migrants and migrants with high levels of education. These associations were not found to be significant for migrants with low education levels. The findings suggest that SES plays a more significant role in tooth retention for migrants with higher education levels compared to those with lower education levels. These results may largely be due to different levels of health literacy and unequal access to dental care services. Tailored intervention needs to be target migrant populations with low SES.


2020 ◽  
Author(s):  
Miguel Borda ◽  
Luis Venegas ◽  
Elkin Garcia-Cifuentes ◽  
Ronald Gomez ◽  
Carlos Cano-Gutierrez ◽  
...  

Abstract Background: With this study, we aim to describe the associations of the different categories of the Body mass index (BMI) with ADL and cognitive performance in Colombian and South Korean older adults living in the community. Methods: A cross-sectional analysis of two surveys were analyzed; Survey on Health, Well-Being, and Aging in Colombia (SABE) (n= 23448) and Korean Longitudinal Study of aging (KLoSA) (n=4501). Participants older than 50 years were selected from rural and urban areas achieving a representative sample. Here we investigate the association between BMI categories with function, using zero-inflated negative binomial regression, and cognition, using a logistic regression model.Results: In Colombia, underweight was associated with an impaired score on the MMSE and worse performance in the IADL. Being overweight was associated with better scores on the MMSE and the IADL. For both outcomes education was highly influential. In Korea, after adjustments, there were no significant associations for any of the outcomes. Conclusions: In Colombian population, underweight, in particular, seems to be negative to preserve both cognitive and daily functioning. Additionally, being overweight but not obese was associated with less cognitive impartment and better daily functioning.


2019 ◽  
Author(s):  
Xuexin Yu ◽  
Wei Zhang

Abstract Background Neighborhood factors have gained increasing attention, while the role of neighborhood’s walkability and location have not been clarified in multimorbidity. In this study, we estimated the prevalence of 14 non-communicable chronic disease (NCDs) and depicted variations in the number of NCDs as a function of road type, urban-rural settings, neighborhood characteristics, and individual confounders. Methods Data came from China Health and Retirement Longitudinal Study 2011 National Baseline Survey. Negative binomial regression with clustered robust standard errors was employed to analyze variations in the number of NCDs among 13,414 Chinese middle-aged and older population. Results First, over 65% subjects had at least one NCDs, and over 35% had multiple NCDs. Arthritis (33.08%), hypertension (24.54%), and digestive disease (21.98%) were the most prevalent NCDs. There existed no urban-rural differences in multimorbidity after adjusted for neighborhood clustering variations. Lastly, living with paved road was associated with fewer NCDs relative to living with unpaved road. Conclusion Findings suggest that urban-rural disparities in the number of NCDs appeared to result from within-neighborhoods characteristics. Living with walkable road is important for middle-aged and older population.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Daiki Watanabe ◽  
Tsukasa Yoshida ◽  
Takashi Nakagata ◽  
Naomi Sawada ◽  
Yosuke Yamada ◽  
...  

AbstractBackgroundPrevious epidemiological studies have demonstrated the prevalence and relationship of various factors associated with sarcopenia in older adults; however, few have examined the status of sarcopenia in middle-aged adults. In this study, we aimed to, 1) evaluate the validity of the finger-circle test, which is potentially a useful screening tool for sarcopenia, and 2) determine the prevalence and factors associated with sarcopenia in middle-aged and older adults.MethodsWe conducted face-to-face surveys of 525 adults, who were aged 40–91 years and resided in Settsu City, Osaka Prefecture, Japan to evaluate the validity of finger-circle test. The finger-circle test evaluated calf circumference by referring to an illustration printed on the survey form. The area under the receiver operating characteristic curves (AUROC) was plotted to evaluate the validity of the finger-circle test for screening sarcopenia and compared to that evaluated by skeletal muscle mass index (SMI) measured using bioimpedance. We also conducted multisite population-based cross-sectional anonymous mail surveys of 9337 adults, who were aged 40–97 years and resided in Settsu and Hannan Cities, Osaka Prefecture, Japan. Participants were selected through stratified random sampling by sex and age in the elementary school zones of their respective cities. We performed multiple logistic regression analysis to explore associations between characteristics and prevalence of sarcopenia.ResultsSarcopenia, defined by SMI, was moderately predicted by a finger-circle test response showing that the subject’s calf was smaller than their finger-circle (AUROC: 0.729, < 65 years; 0.653, ≥65 years); such subjects were considered to have sarcopenia. In mail surveys, prevalence of sarcopenia screened by finger-circle test was higher in older subjects (approximately 16%) than in middle-aged subjects (approximately 8–9%). In a multiple regression model, the factors associated with sarcopenia were age, body mass index, smoking status, self-reported health, and number of meals in all the participants.ConclusionsSarcopenia, screened by the finger-circle test, was present not only among older adults but also among middle-aged adults. These results may provide useful indications for developing public health programs, not only for the prevention, but especially for the management of sarcopenia.Trial registrationUMIN000036880, registered prospectively May 29, 2019, https://upload.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000042027


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