Search

Objective: To examine the association between siesta and hypertension by sex and nighttime sleep duration among Chinese adults aged ≥35 years in Yinzhou, Ningbo City.Methods: All data were obtained from physical examinations and structured questionnaires. A total of 44, 652 participants were included. Logistic regression models were applied to calculate odds ratios and 95% confidence intervals for the association between siesta and hypertension.Results: When compared with no siesta, siesta durations of 60∼89 min (OR = 1.10, 95% CI:1.04-1.17) and ≥90 min (OR = 1.21, 95% CI:1.08-1.36) were associated with higher risk of hypertension in women. But no significant association was observed in men. Siesta durations of 30∼59 min (OR = 1.09, 95% CI:1.00-1.19) and 60-89 min (OR = 1.10, 95% CI:1.05-1.16) were associated with hypertension in people with 6∼8 h sleep, and this association appeared seemingly stronger with ≥90 min siesta either in short (<6 h) sleepers (OR = 1.20, 95% CI: 0.99-1.47) or in long (>8 h) sleepers (OR = 1.29, 95% CI: 1.00-1.68). However, in short sleepers, 60∼89 min siesta seemed to be associated with decreased risk of hypertension (OR = 0.95, 95% CI: 0.85-1.06); while in long sleepers, the same range of siesta seemed to be associated with increased risk of hypertension (OR = 1.11, 95% CI: 0.93-1.34).Conclusion: Long siesta was associated with increased risk of hypertension in women but not in men. Not too long siesta may be related to decreased risk of hypertension in short sleepers but not in people with adequate or even long sleep. These findings warrant further examination with prospective studies and laboratory investigations. [ABSTRACT FROM AUTHOR]

[Display omitted] • Explore the effect of walkability and NO 2 simultaneously using a prospective design. • Higher level of walkability was associated with lower risk of metabolic syndrome. • Long-term exposure to NO 2 was positively associated with risk of metabolic syndrome. • Interaction was observed between walkability and NO 2. Epidemiological studies have reported an association between traffic-related pollution with risk of metabolic syndrome (MetS). However, evidence from prospective studies on the association of walkability and nitrogen dioxide (NO 2) with MetS is still scarce. We, therefore, aimed to evaluate the association of long-term exposure to NO 2 and walkability with hazards of incident MetS. A total of 17,965 participants without MetS diagnosed within one year at baseline were included in our study from a population-based prospective cohort in Yinzhou District, Ningbo, Zhejiang Province, China. Participants were followed up by the regional Health Information System (HIS) until December 15, 2021. MetS was defined based on the criteria of Chinese Diabetes Society (CDS2004). We used walkscore tools, calculating with amenity categories and decay functions, and spatial–temporal land-use regression (LUR) models to estimate walkability and NO 2 concentrations. We used Cox proportional hazards regression models to examine the association of walkability and NO 2 with hazards of MetS incidence reporting with hazard ratios (HRs) and 95% confidence intervals (CIs). Overall, we followed up 77,303 person-years and identified 4040 incident cases of MetS in the entire cohort. Higher walkability was inversely associated with incident MetS (HR = 0.94, 95 % CI: 0.91–0.99), whereas NO 2 was positively associated with MetS incidence (HR = 1.07, 95 %CI: 1.00–1.15) per interquartile range increment in two-exposure models. Furthermore, we found a significant multiplicative interaction between walkability and NO 2. Stronger associations were observed for NO 2 and incident MetS among men, smokers, drinkers and participants who aged < 60 years and had higher levels of income. In summary, we found living in areas with lower walkability and higher concentrations of NO 2 were associated with increased incidence of MetS. The beneficial effect of higher walkability may be attenuated by exposure to NO 2. [ABSTRACT FROM AUTHOR]

Though growing evidence has linked air pollution to Parkinson's disease (PD), the results remain inconsistent. Less is known about the relevance of road proximity and surrounding green. We aimed to investigate the individual and joint associations of air pollution, road proximity and surrounding green with the incidence of PD in a prospective cohort study. We used data from a prospective cohort of 47,516 participants recruited from July 2015 to January 2018 in Ningbo, China. Long-term exposure to particulate matter with aerodynamic diameter ≤2.5 μm (PM 2.5) and ≤10 μm (PM 10) and nitrogen dioxide (NO 2) estimated by land-use regression models, road proximity and surrounding green assessed by Normalized Difference Vegetation Index (NDVI) were calculated based on the residential address for each participant. Cox proportional hazard models were used to analyze the individual and joint effects of air pollution, road proximity, and surrounding green on PD. In single-exposure models, PM 2.5 , PM 10 , NO 2 and road proximity was associated with increased risk of PD (e.g. Hazard Ratio (HR) = 1.51, 95%CI:1.02, 2.24 per interquartile range (IQR) increase for PM 2.5) while surrounding green was associated with decreased risk of PD (e.g. HR = 0.80, 95%CI:0.65, 0.98 per IQR increase for NDVI in 300 m buffer). In two-exposure models, the associations of PM 2.5 and surrounding green persisted while the associations of NO 2 and road proximity attenuated towards unity. We found that PM 2.5 were associated with increased risk of incident PD while surrounding green was associated with decreased risk of PD. Future studies about PD etiology may benefit from including multiple environmental exposures to address potential joint associations. [Display omitted] • Positive associations between PM 2.5 and incident Parkinson's disease were found. • Negative associations between greenness and incident Parkinson's disease were found. • Improvements in air quality and land use planning might benefit for PD prevention. [ABSTRACT FROM AUTHOR]