Effects of Outdoor Temperature on Blood Pressure in a Prospective Cohort of Northwest China

Objective The relationship between outdoor temperature and blood pressure(BP) has been inconclusive. We analyzed data from a prospective cohort study in northwestern China to investigate the effect of outdoor temperature on BP and effect modification by season.Methods A total of 32,710 individuals who participated in both the baseline survey and the first follow-up in 2011–2015 were included in the study. A linear mixed-effect model and generalized additive mixed model(GAMM) were applied to estimate the association between outdoor temperature and BP after adjusting for confounding variables.Results The mean differences in systolic blood pressure(SBP) and diastolic blood pressure(DBP)between summer and winter were 3.5 mm Hg and 2.75 mm Hg, respectively. After adjusting for individual characteristics, meteorological factors and air pollutants, a significant increase in SBP and DBP was observed for lag 06 day and lag 04 day, a 0.28 mm Hg(95% CI: 0.27–0.30) per 1 °C decrease in average temperature for SBP and a 0.16 mm Hg(95% CI: 0.15–0.17) per 1 °C decrease in average temperature for DBP, respectively. The effects of the average temperature on both SBP and DBP were stronger in summer than in other seasons. The effects of the average temperature on BP were also greater if individuals were older, male, overweight or obese, a smoker or drinker, or had cardiovascular diseases(CVDs), hypertension, and diabetes.Conclusions This study demonstrated a significant negative association between outdoor temperature and BP in a high-altitude environment of northwest China. Moreover, BP showed a significant seasonal variation. The association between BP and temperature differed by season and individuals' demographic characteristics(age, gender, BMI), unhealthy behaviors(smoking and alcohol consumption), and chronic disease status(CVDs, hypertension, and diabetes).

Outdoor Temperature Estimation Using ANFIS for Soft Sensors

In recent years,several studies using smart methods and soft computing in the field of HVAC systems have been provided.In this paper,we propose a framework which will strengthen the benefits of the Fuzzy Logic(FL)and Neural Fuzzy(NF)systems to estimate outdoor temperature.In this regard,Adaptive Neuro Fuzzy Inference System(ANFIS)is used in effective combination of strategic information for estimating the outdoor temperature of the building.A novel versatile calculation focused around ANFIS is proposed to adjust logical progressions and to weaken the questionable aggravation of estimation information from multisensory.Due to ANFIS accuracy in specialized predictions,it is an effective device to manage vulnerabilities of each experiential framework.The NF system can concentrate on measurable properties of the samples throughout the preparation sessions.Reproduction results demonstrate that the calculation can successfully alter the framework to adjust context oriented progressions and has solid combination capacity in opposing questionable data.This sagacious estimator is actualized utilizing Matlab and the exhibitions are explored.The aim of this study is to improve the overall performance of HVAC systems in terms of energy efficiency and thermal comfort in the building.