With the aggravation of population aging, the problem of providing service for the aged has become the focus of the public. A large number of nursing homes have emerged under this background. Residence satisfaction is broadly used as the indicator to measure the quality of nursing homes. Focusing on the resident satisfaction formation from the organizational factors, this study investigate show staffi ng, hardware facilities, elderly service guarantee and perceived environment infl uence the satisfaction of the elderly. Meanwhile, how these variables interact with each other and fi nally aff ect the satisfaction is also explored. Data collected from 493 nursing homes in Shanghai city of China are used for the empirical analysis. Research results show that: residence satisfaction is directly infl uenced by the environment perception and elderly service guarantee of the nursing home; staffi ng and hardware facility confi guration are the direct factors in the satisfaction, and staffi ng is the most important element in the construction of nursing homes and infl uences other factors directly or indirectly.

Background: To investigate the prevalence and indoor environmental influencing factors of wheezing and asthma among preschool children in Urumqi, Xinjiang, China to provide a strong basis for prevention and control. Methods: In August 2019, a cross-sectional epidemiological study involving 8153 preschool children was conducted in 60 kindergartens in Urumqi. The mean age of the children who participated in the survey was 5.27 ± 1.10 years. Additionally, 51.9% were boys, 86.9% were Han Chinese, and an 81.53% survey response rate was observed. The childhood wheeze and asthma survey used was the ALLHOME-2 questionnaire, and the childhood home dwelling and living environment survey used was the DBH questionnaire. Partial adjustments were made according to the geographical environment of Urumqi and the living habits of the residents.Results: The prevalence of wheezing and asthma in children was 4.7% and 2.0%, respectively. Multivariate unconditional logistic regression results suggested that ethnicity (odds ratio (OR)=1.39, 95% confidence interval (95%CI)=1.05–1.84), birth pattern (OR=1.24, 95%CI=1.00–1.53), family history of asthma (OR=5.00, 95%CI=3.36–7.44), carpet or floor bedding at home (OR=1.40, 95%CI=1.05–1.87), purchasing new furniture in the mother’s residence during pregnancy (OR=1.58,95%CI=1.06–2.36), pet keeping in the residence at age 0–1 (OR=1.55, 95%CI=1.13–2.13), passive smoking in the child's residence (OR=1.35, 95%CI=1.01–1.80), and having mould or hygroma in the child's residence at age 0–1 (OR=1.72, 95%CI=1.12–2.64) were risk factors for wheezing. In addition, sex (OR=0.73, 95%CI=0.59-0.90) was a protective factor for wheezing. Birth pattern (OR=1.46, 95%CI=1.06–2.00), family history of asthma (OR=7.06,95%CI=4.33–11.53), carpet or floor bedding at home (OR=2.20, 95%CI=1.50–3.23), and pet keeping in the residence at age 0–1 (OR=1.64, 95%CI=1.04–1.83) were risk factors for asthma, whereas gender (OR=0.58, 95% CI=0.42–0.80) was a protective factor for asthma. Conclusion: This survey indicates that preschool children in Urumqi have a higher risk of wheezing and asthma. Risk factors that may cause an elevated risk of wheezing or asthma have also been identified.

To investigate the prevalence and indoor environmental influencing factors of wheeze and asthma among preschool children in Urumqi, Xinjiang, China to provide a strong basis for prevention and control. In August 2019, a cross-sectional study involving 8153 preschool children was conducted in 60 kindergartens in Urumqi. The ALLHOME-2 questionnaire was used for childhood wheeze and asthma survey, and the dampness in buildings and health (DBH) questionnaire was used for the childhood home dwelling and living environment survey. Multivariate unconditional logistic regression was then used to analyze the potential influencing factors of childhood asthma and wheeze. The prevalence of wheeze and asthma in children was 4.7% and 2.0%, respectively. Multivariate unconditional logistic regression results suggested that ethnicity other than the Han Chinese (odds ratio (OR) 1.39, 95% confidence interval (CI) 1.05–1.84), caesarean section (OR 1.24, 95% CI 1.00–1.53), family history of asthma (OR 5.00, 95% CI 3.36–7.44), carpet or floor bedding at home (OR 1.40, 95% CI 1.05–1.87), purchasing new furniture in the mother’s residence during pregnancy (OR 1.58, 95% CI 1.06–2.36), pet keeping in the residence at aged 0–1 year (OR 1.55, 95% CI 1.13–2.13), passive smoking by child in the current residence (OR 1.35, 95% CI 1.01–1.80), and having mould or hygroma in the child's residence at aged 0–1 year (OR 1.72, 95% CI 1.12–2.64) were risk factors for wheeze. In addition, Girls (OR 0.73, 95% CI 0.59–0.90) was a protective factor for wheeze. Caesarean section (OR 1.46, 95% CI 1.06–2.00), family history of asthma (OR 7.06, 95% CI 4.33–11.53), carpet or floor bedding at home (OR 2.20, 95% CI 1.50–3.23), and pet keeping in the residence at aged 0–1 year (OR 1.64, 95% CI 1.04–1.83) were risk factors for asthma, whereas Girls (OR 0.58, 95% CI 0.42–0.80) was a protective factor for asthma. This survey indicates that the purchase of new furniture, the placement of carpet or floor bedding in the child's residence, the pets keeping, room dampness or moldy phenomena, and passive smoking may all contribute to an elevated risk of wheeze or asthma in children.