Health risk assessment of exposure to chlorpyrifos in pregnant women using deterministic and probabilistic approaches.

Since chlorpyrifos (CPF), a major organophosphorus pesticide, is widely used for agricultural and domestic purposes, thus, humans may be exposed to these toxic compounds through multiple sources. In recent years, significant concerns have been raised regarding the deleterious effects of exposure to CPF on human health, especially growing fetus. Therefore, in this study, we aimed to evaluate the health risks of exposure to CPF among pregnant women living in Isfahan province, Iran, using deterministic and probabilistic approaches. The urinary concentration of 3, 5, 6-trichloro-2-pyridinol (TCP), the most common metabolite of CPF, was measured as the biomarker of current exposure to CPF. For this purpose, spot urine samples were taken from 110 pregnant women and the urinary concentrations of TCP were quantified. The estimated daily intake and hazard quotient (HQ) for CPF exposure were measured according to the reference values set by World Health Organization (WHO) and United States Environmental Protection Agency (US EPA) for acute and chronic exposure to CPF. Based on the results, TCP was detected in more than 70% of samples (3.8 ± 2.72 µg/L). The estimated daily intake for some participants was found to be higher than the suggested reference dose by USEPA for chronic exposure to CPF. Furthermore, the HQ>1 was obtained for 20% of the study population in Monte-Carlo analysis using USEPA chronic reference dose, indicating that chronic toxic effects are expected at least for a part of the target population. Based on the findings, proper measures should be taken to reduce the exposure of Iranian pregnant women to CPF and resultant health risks.

Estimating global injuries morbidity and mortality: methods and data used in the Global Burden of Disease 2017 study.

BACKGROUND: While there is a long history of measuring death and disability from injuries, modern research methods must account for the wide spectrum of disability that can occur in an injury, and must provide estimates with sufficient demographic, geographical and temporal detail to be useful for policy makers. The Global Burden of Disease (GBD) 2017 study used methods to provide highly detailed estimates of global injury burden that meet these criteria. METHODS: In this study, we report and discuss the methods used in GBD 2017 for injury morbidity and mortality burden estimation. In summary, these methods included estimating cause-specific mortality for every cause of injury, and then estimating incidence for every cause of injury. Non-fatal disability for each cause is then calculated based on the probabilities of suffering from different types of bodily injury experienced. RESULTS: GBD 2017 produced morbidity and mortality estimates for 38 causes of injury. Estimates were produced in terms of incidence, prevalence, years lived with disability, cause-specific mortality, years of life lost and disability-adjusted life-years for a 28-year period for 22 age groups, 195 countries and both sexes. CONCLUSIONS: GBD 2017 demonstrated a complex and sophisticated series of analytical steps using the largest known database of morbidity and mortality data on injuries. GBD 2017 results should be used to help inform injury prevention policy making and resource allocation. We also identify important avenues for improving injury burden estimation in the future.

Global injury morbidity and mortality from 1990 to 2017: results from the Global Burden of Disease Study 2017.

BACKGROUND: Past research in population health trends has shown that injuries form a substantial burden of population health loss. Regular updates to injury burden assessments are critical. We report Global Burden of Disease (GBD) 2017 Study estimates on morbidity and mortality for all injuries. METHODS: We reviewed results for injuries from the GBD 2017 study. GBD 2017 measured injury-specific mortality and years of life lost (YLLs) using the Cause of Death Ensemble model. To measure non-fatal injuries, GBD 2017 modelled injury-specific incidence and converted this to prevalence and years lived with disability (YLDs). YLLs and YLDs were summed to calculate disability-adjusted life years (DALYs). FINDINGS: In 1990, there were 4 260 493 (4 085 700 to 4 396 138) injury deaths, which increased to 4 484 722 (4 332 010 to 4 585 554) deaths in 2017, while age-standardised mortality decreased from 1079 (1073 to 1086) to 738 (730 to 745) per 100 000. In 1990, there were 354 064 302 (95% uncertainty interval: 338 174 876 to 371 610 802) new cases of injury globally, which increased to 520 710 288 (493 430 247 to 547 988 635) new cases in 2017. During this time, age-standardised incidence decreased non-significantly from 6824 (6534 to 7147) to 6763 (6412 to 7118) per 100 000. Between 1990 and 2017, age-standardised DALYs decreased from 4947 (4655 to 5233) per 100 000 to 3267 (3058 to 3505). INTERPRETATION: Injuries are an important cause of health loss globally, though mortality has declined between 1990 and 2017. Future research in injury burden should focus on prevention in high-burden populations, improving data collection and ensuring access to medical care.

Mapping 123 million neonatal, infant and child deaths between 2000 and 2017.

Since 2000, many countries have achieved considerable success in improving child survival, but localized progress remains unclear. To inform efforts towards United Nations Sustainable Development Goal 3.2-to end preventable child deaths by 2030-we need consistently estimated data at the subnational level regarding child mortality rates and trends. Here we quantified, for the period 2000-2017, the subnational variation in mortality rates and number of deaths of neonates, infants and children under 5 years of age within 99 low- and middle-income countries using a geostatistical survival model. We estimated that 32% of children under 5 in these countries lived in districts that had attained rates of 25 or fewer child deaths per 1,000 live births by 2017, and that 58% of child deaths between 2000 and 2017 in these countries could have been averted in the absence of geographical inequality. This study enables the identification of high-mortality clusters, patterns of progress and geographical inequalities to inform appropriate investments and implementations that will help to improve the health of all populations.

Global, Regional, and National Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life-Years for 29 Cancer Groups, 1990 to 2017: A Systematic Analysis for the Global Burden of Disease Study.

Importance: Cancer and other noncommunicable diseases (NCDs) are now widely recognized as a threat to global development. The latest United Nations high-level meeting on NCDs reaffirmed this observation and also highlighted the slow progress in meeting the 2011 Political Declaration on the Prevention and Control of Noncommunicable Diseases and the third Sustainable Development Goal. Lack of situational analyses, priority setting, and budgeting have been identified as major obstacles in achieving these goals. All of these have in common that they require information on the local cancer epidemiology. The Global Burden of Disease (GBD) study is uniquely poised to provide these crucial data. Objective: To describe cancer burden for 29 cancer groups in 195 countries from 1990 through 2017 to provide data needed for cancer control planning. Evidence Review: We used the GBD study estimation methods to describe cancer incidence, mortality, years lived with disability, years of life lost, and disability-adjusted life-years (DALYs). Results are presented at the national level as well as by Socio-demographic Index (SDI), a composite indicator of income, educational attainment, and total fertility rate. We also analyzed the influence of the epidemiological vs the demographic transition on cancer incidence. Findings: In 2017, there were 24.5 million incident cancer cases worldwide (16.8 million without nonmelanoma skin cancer [NMSC]) and 9.6 million cancer deaths. The majority of cancer DALYs came from years of life lost (97%), and only 3% came from years lived with disability. The odds of developing cancer were the lowest in the low SDI quintile (1 in 7) and the highest in the high SDI quintile (1 in 2) for both sexes. In 2017, the most common incident cancers in men were NMSC (4.3 million incident cases); tracheal, bronchus, and lung (TBL) cancer (1.5 million incident cases); and prostate cancer (1.3 million incident cases). The most common causes of cancer deaths and DALYs for men were TBL cancer (1.3 million deaths and 28.4 million DALYs), liver cancer (572 000 deaths and 15.2 million DALYs), and stomach cancer (542 000 deaths and 12.2 million DALYs). For women in 2017, the most common incident cancers were NMSC (3.3 million incident cases), breast cancer (1.9 million incident cases), and colorectal cancer (819 000 incident cases). The leading causes of cancer deaths and DALYs for women were breast cancer (601 000 deaths and 17.4 million DALYs), TBL cancer (596 000 deaths and 12.6 million DALYs), and colorectal cancer (414 000 deaths and 8.3 million DALYs). Conclusions and Relevance: The national epidemiological profiles of cancer burden in the GBD study show large heterogeneities, which are a reflection of different exposures to risk factors, economic settings, lifestyles, and access to care and screening. The GBD study can be used by policy makers and other stakeholders to develop and improve national and local cancer control in order to achieve the global targets and improve equity in cancer care.

Socioeconomic status as the strongest predictor of self-rated health in Iranian population; a population-based cross-sectional study.

BACKGROUND: There is little evidence comparing the role of subjective versus objective indicators of socioeconomic status (SES) on individuals' self-rated health (SRH) in Iran. OBJECTIVES: We aimed to investigate underlying predictors of SRH including subjective and objective SES in Tehran, a multi-ethnic city. METHOD: This is an analysis of cross-sectional survey data on subjective and objective SES from a population-based case-control study conducted in Tehran, Iran (2015). We used random digit dialing for study sample recruitment. Linear regression models were used for estimating crude and adjusted coefficients (95% confidence intervals). Age, gender, SES as well as cigarette smoking were included as confounders. RESULTS: 15-50 years old residents of Tehran were recruited in the study (n = 1057). High reported objective and subjective SES was consistently associated with a better SRH. Subjective current SES (p < .001), subjective adolescence SES (p = .018), change in subjective SES (current vs. adolescent) (p = .034) and participants' education years (p < .001). Improvements over time in current SES in comparison to SES rated during adolescence increased the participants' SRH after adjustment for potential confounders (coefficient = 0.170, 95% CI: (0.015, 0.325)). Female participants (coefficient = -0.305, 95% CI: (-0.418, -0.192)) and smokers (high category vs. never smokers) (coefficient = -0.456, 95% CI: (-0.714, -0.197)) reported significantly worse SRH. Increasing age - 0.008 (95% CI: -0.014, -0.002) was associated with decreased SRH. CONCLUSION: High subjective and objective SES consistently was the most important predictor of high SRH.

No association between socioeconomic status and risk of multiple sclerosis: A population-based incident case-control study in a developing country.

BACKGROUND: Evidence on the association between socioeconomic status (SES) and multiple sclerosis (MS) is inconsistent. We examined the association of several indicators of SES with MS in an Iranian population. METHODS: We conducted a population-based incident case-control study with 547 incident cases and 1057 general population controls in Iran, 2015. Data was collected using telephone interviews and indicators of SES i.e. parental education, and household SES during adolescence using asset variables. Adjusted odds ratios (AORs) were estimated using multiple logistic regression model. RESULTS: Parental education levels were not significantly associated with MS development. Household SES during adolescence was insignificantly associated with an increased risk of MS diagnosis (P = 0.575). CONCLUSION: We did not identify an association between household SES during adolescence, parental education levels, and a subsequent risk of developing MS in an Iranian population.

Impact of IgE-mediated Food Allergy on Parental Quality of Life in Iranian Patients.

Food allergy is a common disorder especially in the first years of life. Strict avoidance of the responsible food is the most effective therapeutic measure so far. But this continuous vigilance could be stressful for the patient and family and decreases their quality of life (QOL). This survey was designed to evaluate the impact of IgE-mediated food allergy on parental QOL in Iranian patients and to develop a valid Persian version of "Food Allergy Quality Of Life- Parental Burden (FAQL-PB) questionnaire". 90 patients (28 females, 62 males) and their parents who were referred to the clinic of Allergy in Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran were enrolled. The questionnaire was translated with scientific method and its reliability was approved in a pilot study (ICC=0.75, cronbach-α=0.90). Among all patients the most common allergens were wheat (60%) and cow's milk (42%). The patient's age (p=0.02), parent's gender (p=0.004), mother's age (p=0.02), duration of the disease (p=0.048), and allergen multiplicity (p=0.004) were found to have the most significant correlation with family and social activity (FSA) domain. The most meaningful associations were achieved between parent's gender (p<0.001) and emotional issues (EM); as well as meal preparation (MP) with patient's age (p=0.02), parent's gender (p<0.0001) and also allergen multiplicity (p= 0.003); likewise nutrition and health concern (NH) domain with parent's gender (p<0.001). Anaphylaxis's history did not place any burden on each domain. It was concluded that presence of food allergic patients in families could considerably affect all domains of QOL.

Which variable is the strongest adjusted predictor of quality of life in caregivers of patients with dementia?

BACKGROUND: The central role of family in caregiving for patients with dementia is now widely acknowledged. However, in playing this role, caregivers may neglect their health and quality of life (QOL). The purposes of present study were to measure caregivers' QOL and to determine its adjusted predictors via multiple regression models. METHODS: We used sequential sampling to recruit 153 patients and their caregivers from the Iran Alzheimer Association in our cross-sectional study. A single-item question with a Likert scale was applied to measure QOL. A multiple linear regression model was used to determine the adjusted predictors of QOL. RESULTS: Of the responding caregivers, 22.8% reported their QOL as poor or very poor. Caregiver burden, the main caregiver's age, the Global Deterioration Scale, and the number of caregivers were introduced as adjusted predictors of QOL. CONCLUSIONS: Caregiver burden was proposed as the strongest adjusted predictor for caregivers' poor QOL. Therefore, it seems that interventions to reduce caregiver burden can be effective in enhancing caregivers' QOL.

Caregiver burden: the strongest predictor of self-rated health in caregivers of patients with dementia.

OBJECTIVE: People having dementia need help and supervision to perform their activities of daily living. This responsibility is usually imposed on family members who endure a great burden, leading to undesirable health outcomes. The aims of our study were to measure caregivers' health as well as identify its adjusted relevant predictors. METHODS: One hundred and fifty three registered patients and their caregivers from Iranian Alzheimer Association were included in this cross-sectional study through sequential sampling. Self-rated health (SRH) was measured using a single question with Likert-type scale ranging from very bad (1) to very good (5). The multiple linear regression model was applied to determine the adjusted associations between independent variables under study and SRH. RESULTS: The mean caregiver SRH level was 3.03. Of the participant caregivers, 29% were either unsatisfied or very unsatisfied with their health level. In the final regression model, SRH showed a direct significant association with the patient's number of children but an inverse significant association with the marital status (married patients), patient's age, and caregiver burden. CONCLUSIONS: Caregiver burden was not only significantly associated with poor SRH after removing the effect of the other covariates but it was also recognized as the strongest predictor of caregivers' SRH. Therefore, it seems that development of intervention programs, in order to reduce caregiver burden, can be considered as important step in promoting caregivers' health level.