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Climate change may be associated with human morbidity and mortality through direct and indirect effects. Ahvaz is one of the hottest cities in the world. The aim of this study was to investigate the relation between physiological Equivalent Temperature (PET) and non-accidental, cardiovascular and respiratory disease mortality in Ahvaz, Iran. Distributed Lag Non-linear Models (DLNM) combined with quasi-Poisson regression were used to investigate the effect of PET on death. The effect of time trend, air pollutants (NO2, SO2 and PM10), and weekdays were adjusted.The results showed that in cold stress [1st percentile of PET (2.7 °C) relative to 25th percentile (11.9 °C)] the risk of total respiratory mortality, respiratory mortality in men, and mortality in people under 65 year olds, significantly decreased in the cumulative lags of 0–2, 0–6 and 0–13; but the risk of respiratory mortality increased in the elderly and in the final lags. In contrast, heat stress [99th percentile of PET (44.9 °C) relative to 75th percentile (43.4 °C)] significantly increased the risk of total cardiovascular mortality (CVD), cardiovascular mortality in men, ischemic heart disease and cerebrovascular disease mortality in lags 0 and 0–2. It seems that high PET values increase the risk of cardiovascular mortality, while low PET values increase respiratory mortality only among the elderly in Ahvaz.

Few studies have investigated the different extreme temperature effects (heat-cold) of one geographical location at the same time in Iran. This study was conducted to assess the impact of heat and cold waves on mortality in Urmia city, which has a cold and mountainous climate. Distributed Lag Non-linear Models combined with a quasi-Poisson regression were used to assess the impact of heat (HW) and cold waves (CW) on mortality in subgroups, controlled for potential confounders such as long-term trend of daily mortality, day of week effect, holidays, mean temperature, humidity, wind speed and air pollutants. The heat/cold effect was divided into two general categories A-main effect (the effect caused by temperature), B-added effect (the effect caused by persistence of extreme temperature). Results show that there was no relation between HW and respiratory and cardiovascular death, but in main effects, HW(H1) significantly increased, the risk of Non-Accidental Death (NAD) in lag 0 (Cumulative Excess Risk (CER) NAD = 31(CI; 4–65)). Also in added effects, HW had a significant effect on NAD (CER H1; NAD; lag;0-2 = 31(CI; 5, 51), CER H2; NAD; lag;0-2 = 26(CI; 6, 48)). There was no relation between CW and respiratory death and cardiovascular death, but in added effects, CW(C1) significantly decreased, the risk of non-accidental death in initial lags (CER C1; NAD; lag;0-2 = −19 (CI; −35, −2)). It seems that high temperatures and heat waves increase the risk of non-accidental mortality in northwest of Iran.

There are few epidemiological studies about climate change and the effect of temperature variation on health using human thermal indices such as the Physiological Equivalent Temperature (PET) Index in Iran. This study was conducted in Tabriz, the northwest of Iran and Distributed Lag Non-linear Models (DLNM) combined with quasi-Poisson regression models were used to assess the impacts of PET on mortality by using the DLNM Package in R Software. The effect of air pollutants, time trend, day of the week and holidays were controlled as confounders. There was a significant relation between high (30°C, 27°C) and low (-0.8°C, -9.2°C and -14.2°C) PET and total (non-accidental) mortality; and a significant increase in respiratory and cardiovascular deaths in high PET values. Heat stress increased Cumulative Relative Risk (CRR) for total (non-accidental), respiratory and cardiovascular mortality significantly (CRR Non Accidental Death, PET=30°C, lag 0-30=1.67, 95%CI: 1.31-2.13; CRR Respiratory Death, PET=30°C, lag 0-13=1.88, 95%CI: 1.30-2.72; CRR Cardiovascular Death, PET=30°C, lag0-30=1.67 95%CI: 1.16-2.40). Heat stress increases the risk of total (non-accidental), respiratory mortality, but cold stress decreases the risk of total (non-accidental) mortality in Tabriz which is one of the cold cities of Iran.

Objective: This study was designed to examine the effect of metabolic syndrome (MetS) on health-related quality of life (HRQOL) in patients with suspected nonalcoholic steatohepatitis (NASH). Subjects and Methods: Three hundred thirty-two patients (236 males and 96 females) with suspected NASH from the Amol cohort study were included in this study. MetS was diagnosed based on Adult Treatment Panel III criteria and HRQOL was measured using the 12-Item Short-Form Health Survey (SF-12) questionnaire (with 8 subscales and 2 summary components). A multivariable linear regression model was used to assess the independent effect of MetS on HRQOL. Results: The mean age of the study population was 42 ± 13 years (range 18–82). The prevalence of MetS was 43.4% (n = 144) and the mean scores on the Physical Component Summary (PCS) and the Mental Component Summary were 72.4 ± 20.86 and 42.7 ± 12.42, respectively. The multivariable linear regression model showed that MetS was negatively associated with 4 subscales of HRQOL that included: role limitations due to physical problems (RP) (B = –14.05, p = 0.004), bodily pain (BP) (B = –7.37, p = 0.02), vitality (VT) (B = –7.72, p = 0.022), and role limitations due to emotional problems (RE) (B = –12.67, p = 0.005) after adjustment for other variables. Also, MetS had a borderline association with the general health and mental health subscales and the PCS (p < 0.1). Conclusion: In this study, there was a strong association between MetS and 4 subscales (RP, BP, VT, and RE) of HRQOL in patients with suspected NASH; this could be considered as a part of health policy to improve general health.

Diurnal Temperature Range (DTR) is a meteorological index which represents temperature variation within a day. This study assesses the impact of high and low values of DTR on mortality. Distributed Lag Non-linear Models combined with a quasi-Poisson regression model was used to assess the impact of DTR on cause, age and gender specific mortality, controlled for potential confounders such as long-term trend of daily mortality, day of week effect, holidays, mean temperature, humidity, wind speed and air pollutants. As the effect of DTR may vary between the hot season (from May to October) and cold season (from November to April of the next year), we conducted analyses separately for these two seasons. In high DTR values (all percentiles), the Cumulative Relative Risk (CRR) of Non-Accidental Death, Respiratory Death and Cardiovascular Death increased in the full year and hot season, and especially in lag (0−6) of the hot season. In the cold season and high DTR values (all percentiles), the CRR of Non-Accidental Death and Cardiovascular Death decreased, but the CRR of Respiratory Death increased. Although there was no clear significant effect in low DTR values. High values of DTR increase the risk of mortality, especially in the heat season, in Urmia, Iran.

Food insecurity is frequent in both developed and developing countries, affecting from 5% to 25% of the general population. The aim of this study was to assess food insecurity, its influencing factors and control measures in the northwest of Iran. A total population of 15,070 (2,911 households) were studied. A short questionnaire was used for the screening of food insecurity and energy intake in this study. After the screening programme, those families identified as having food insecurity were recruited for the second part of the study which was a community trial. We organized small training campaigns (through peer education) for target households. Six months later, the same techniques were applied again to assess the impact of educational intervention in reducing the rate of food insecurity. Total prevalence of food insecurity in the study population was 59.3 percent (95% confidence interval: 57.4-61.3). Logistic regression showed that apart from the mother's age and smoking status of the head of the family, there was a significant association between household food insecurity and other variables in the model (mainly economic factors). The prevalence of food insecurity reduced by 7.3 percent after the intervention (p0.10). The high prevalence of food insecurity in this study indicates that there is an urgent need for a close collaboration between governmental, international and local leadership to identify and implement the key interventional programmes to overcome this ever increasing health problem. According to our findings, a special attention should be paid on the economic improvement in the region.