Health risk assessments of heavy metals and trace elements exposure in the breast milk of lactating mothers in the Northeastern Iran.

Mother's breast milk is a natural and complete food for infants but can be a main source of exposure to toxic pollutants. These pollutants can negatively affect the health of the infant. Therefore, conducting biomonitoring surveys is essential to evaluate such health effects in toxicological research. This study aimed to estimate the probable health risks for infants exposed to essential and non-essential trace elements through breast milk ingestion. This descriptive-analytical, cross-sectional study was performed on 90 breastfeeding mothers referred to the health centers in Mashhad, Iran in January 2021. The health risk assessments (carcinogenic and non-carcinogenic risk) were estimated using chronic daily intake (CDI), hazard quotient (HQ), hazard index (HI), and lifetime carcinogenic risk (CR), which were recommended by the US Environmental Protection Agency (US EPA). The results of the HQ values of trace elements through ingestion exposure for arsenic (90%), copper (90%), zinc (40%), and iron (10%) exceeded the threshold of HQ, and arsenic (66.59%), copper (16.91%), and zinc (9.68%) and iron (4.57%) had the highest contribution to increasing the HI index. The average value of CR was 5. 08 × 10-3. Chromium and iron showed significant relationships (P<0.05) with education level and disease background in this study, and the concentration of chromium, iron, and zinc in the breast milk samples significantly changed during lactation stages (P<0.05). Overall, the risk of carcinogenicity through exposure to breast milk for infants was higher than the safety level of US EPA risk. Therefore, there could be a potential health risk of trace elements, particularly arsenic, copper, and zinc for infants in Mashhad, Iran through the consumption of mothers' breast milk. More efforts are required to control and reduce routes of receiving trace elements in breastfeeding mothers by the competent authorities.

Curcumin's effect on serum zinc, copper and magnesium levels in obese individuals.

Objective: The obesity prevalence is growing worldwide. There is strong evidence indicating that a disturbance of zinc, copper and magnesium concentrations is associated with the development of obesity and its related diseases. Our aim was to determine the effect of curcumin supplementation on serum zinc, magnesium and copper in obese individuals. Materials and Methods: In this randomized crossover trial study, thirty obese patients with an age range of 18 to 65 years were randomized to treatment with curcumin 1 g/day or placebo for 30 days. There was then a two-week wash-out period, after which, subjects crossed to the alternate regimen. Serum levels of zinc, copper and magnesium were determined at baseline and at the end of the study. Results: The study groups were similar to each other in base line characteristics. We did not observe significant impacts (p>0.05) of curcumin on Cu, Zn, Mg serum concentrations. Conclusion: Curcumin administration at a dose of 1 g/day for 30 days did not affect serum Cu, Zn, Mg levels in obese subjects.

Influence of Air Pollutants on the Disease Activity and Quality of Life in Rheumatoid Arthritis, an Iranian Observational Longitudinal Study.

Background: Environmental exposures and genetic predisposition interactions may result in autoimmune rheumatic diseases. This study aimed to determine the effect of outdoor air pollutants on the activity of rheumatoid arthritis (RA) in a longitudinal follow-up. Methods: We longitudinally studied 50 patients with RA bimonthly over 6 months in Mashhad, one of the most polluted cities in Iran. Disease activity and health-related quality of life (HRQoL) were examined according to the disease activity score (DAS28ESR), health assessment questionnaires (HAQ), physical health component summary (PCS), and visual analogue scale (VAS) criteria. The outdoor air pollutant was measured by monitoring the average concentration of nitrogen oxide (NO), carbon monoxide (CO), O2 level, Sulfur dioxide (SO2), and some particles less than 10 and 2.5 micrometers in diameter (PM <10 µm, PM <2.5 µm). The temperature and humidity levels were also measured. The univariate and multivariate statistical analyses were used for data analysis and the role of confounding factors was determined using the generalized estimation equation method. Results: Statistical analysis indicated a significant increase of the DAS28ESR (B = 0.04 [0.08]; P = 0.01) and VAS (B = 4.48 [1.73]; P = 0.01) by CO concentration. Moreover, a number of polluted days increased the VAS in patients. In addition, other air pollutants, temperature, and humidity were not affected significantly by the DAS28ESR and quality of life indexes by considering confounders such as medications, age, and job. Conclusion: Based on our findings, CO concentration was the only effective outdoor air pollutant that could increase RA disease activity. In addition, CO concentration and the number of polluted days make patients feel more ill. As the role of indoor air pollutants is highly important, further research on this critical topic is required to establish the role of air pollution on RA disease activity.

Effects of Air Pollution on Disease Activity and Health-Related Quality of Life of Systemic Lupus Erythematous Patients: An Iranian Observational Longitudinal Study.

INTRODUCTION: Air pollution is one of the environmental factors that influences the pathogenesis of systemic autoimmune diseases, followed by the development and spread of inflammation and increased oxidative damage. Only a few studies have been conducted on the impact of air pollution on disease activity in patients with lupus, which mostly have focused on PM2.5 particles. MATERIALS AND METHODS: We longitudinally studied 50 patients with lupus bimonthly in a 6-month period in Mashhad, one of the polluted cities of Iran. Disease activity and quality of life were examined considering SLEDAI2K, SLEQOL, and VAS criteria. The outdoor air pollutant was measured by monitoring the average concentration of nitrogen dioxide (NO2), carbon monoxide (CO), some particles less than 10 and 2.5 micrometers in diameter (PM <10, PM <2.5) and the level of temperature and humidity which were taken from the Meteorological Organization of Mashhad. Confounding factors such as medications were investigated by univariate and multivariate statistical analysis, specifically by GEE method. RESULTS: The possible relation among various factors to SLEDAI, SLEQOL and VAS by two different univariate and multivariate analyses were studied. Our analysis indicated that spring season, decreased temperature, increased air pollutants including (PM2.5, and NO2) and increased humidity increase SLEDAI2K. Furthermore, the percent of polluted days directly correlates with Anti-dsDNA and NO2 significantly increases SLEQOL. CONCLUSION: Based on our findings, air pollution (particularly NO2 and PM2.5) has affected at least some aspects of the disease and the health-related quality of life (HRQL) of lupus patients. Further research is needed to confirm these findings.

Application of the Truncated Zero-Inflated Double Poisson for Determining of the Effecting Factors on the Number of Coronary Artery Stenosis.

BACKGROUND: Risk factors of coronary heart disease have been discussed in the literature; however, conventional statistical models are not appropriate when the outcome of interest is number of vessels with obstructive coronary artery disease. In this paper, a novel statistical model is discussed to investigate the risk factors of number of vessels with obstructive coronary artery disease. METHODS: This cross-sectional study was conducted on 633 elderly cardiovascular patients at Ghaem Hospital, Mashhad, Iran from September 2011 to May 2013. Clinical outcome is number of vessels with obstructive coronary artery disease (=0, 1, 2, 3), and predictor variables are baseline demographics and clinical features. A right-truncated zero-inflated double Poisson regression model is performed which can accommodate both underdispersion and excess zeros in the outcome. The goodness-of-fit of the proposed model is compared with conventional regression models. RESULTS: Out of 633 cardiovascular patients, 327 were male (51.7%). Mean age was ~65 ± 7 years (for individuals with zero, one ,and two coronary artery stenosis) and ~66 ± 7 years (for individuals with three coronary artery stenosis). BMI (0.04 ± 0.01, p = 0.011) and female gender (0.19 ± 0.09, p = 0.032) were significant associated with the count part of the model, and only BMI (-0.47 ± 0.2, p = 0.011) was significantly predictive of logit part of the model. The goodness-of-fit measurements indicate that the proposed model outperforms the conventional regression models. CONCLUSION: The proposal regression model shows a better fit compared to the standard regression analysis in modeling number of vessels with obstructive coronary artery disease. Hence, using truncated zero-inflated double Poisson regression model-as an alternative model-is advised to study the risk factors of number of involved vessels of coronary artery stenosis.

Psychosocial Determinants of Changes in Dietary Behaviors Among Iranian Women: An Application of the Pender's Health Promotion Model.

Data on how the complex cognitive processes, personal, and social factors influence health promoting behaviors of women are very limited and the results have been inconsistent. Here, we examine how prior behaviors, behavior-specific cognition (perceived benefits/barriers, self efficacy, and activity-related affect), situational and interpersonal factors (social support, modeling, and norms) associated with the level of dietary behaviors in Iranian women. A cross sectional survey of 356 women aged 18-60 years from health care centers in Iran was undertaken from October 2015 to September 2016. Multiple analytical models and Pender's health promotion model (HPM) were implemented to examine the effectiveness of HPM and its potential constructs on PA behaviors. The instruments used were designed using Pender's HPM as a basis. The path model fitted data and accounted for 51% of the variance in dietary behaviors; and prior behavior, perceived self-efficacy, interpersonal influences, and commitment to plan were significantly associated with dietary behavior. We found that constructs from the HPM are empirically improved dietary behavior among the women population. This result provides a suitable source for designing strategies of a nutrition education intervention for improving the frequency and nutrient intake of breakfast consumption among female students.

Predictors of physical activity among women in Bojnourd, north east of Iran: Pender's health promotion model.

BACKGROUND: This study examined how socio-demographic characteristics constructs derived from the health promotion model (HPM) influence the level of physical activity (PA) women in Bojnourd, North East of Iran. METHOD: This cross-sectional study has been carried out through multi-stage sampling design on 356 women aged 18-60 years living in Iran. Data was collected through reliable and valid questionnaire survey women who were selected from their homes. RESULTS: Most of participants (53.40%) had a low level of physical activity behaviors with minimal physical activity (PA) scores. Using regression analysis showed that 23.22% of the total variance in PA behaviors was predicted by socio-demographic variables, whilst 40.81% of the variance in PA behaviors was predicted by constructs from the HPM. The results from Path modeling indicated that prior behavior, interpersonal influences, perceived self-efficacy, perceived barriers and commitment to PA, were significant predictors for PA behaviors with 86.93% of total effects on PA, whereas, activity-related affect and situational influences had no significant effect on the PA behaviors. CONCLUSIONS: We found that constructs derived from the HPM are determinants of PA among Iranian women and may be important in developing educational intervention programs to facilitate a physically active lifestyle in this population.

Factors associated with length of stay in hospital among the elderly patients using count regression models.

Background: Aging is a major challenge not only for high-income countries but also for middle- and low-income countries. The length of stay (LOS) in hospitals is one of the major concerns of elderly patients, which should be taken into consideration. We aimed to investigate the factors affecting LOS of elderly patients admitted to a referral hospital of northeast of Iran. Methods: A relatively large population of 7130 hospitalized elderly patients (over 65 years old) who referred to Ghaem hospital (Mashhad, Iran) from March 20, 2016 to March 19, 2017 were selected. The demographic and medical records data of patients were extracted from the hospital database. Univariate analyses as well as count regression models, including poisson regression and negative binomial regression, were conducted to assess the influential factors on the LOS and the number of admissions considered for potential confounders using SAS software. In this study α =0.05 was considered as statistically significant. Results: The mean age of participants was 76.57±7.29 years, and 54.8% were male and 45.2% were female. The mean LOS was 8.11±13.97 days and the mean number of admissions 1.5±1.73 times. The negative binomial regression model had better fitness than Poisson's model. Findings indicated that emergency hospitalization (RR: 0.21), admission to the CCU (RR: 0.33), and male gender (RR: 0.92) were statistically reducing factors for LOS among elderly patients, respectively. Discharge status (deceased, RR: 1.50), patients with diagnosis of injuries and poisoning (RR: 1.34), and native residence (RR: 1.10) were factors that statistically increased the length of stay among hospitalized elderly patients. Conclusion: LOS in hospitals is affected by multiple factors and the negative binomial regression model is a better statistical method for estimating the influencing factors.

The Health Literacy Status and Its Role in Interventions in Iran: A Systematic and Meta-Analysis.

There are increasing calls for public health policies to realize the visions of a health literate society and health literacy on a global scale. However, there are still more gaps in what researchers recognize and what steps they should take to improve health literacy (HL) skills. This review aimed to measure the HL status of the Iranian population and the effect size of the underlying association between HL and other health outcomes, and to examine the effectiveness of HL interventions on improving the functional dimension of HL, self-efficacy, and health-promoting behaviors. All full text published articles written in English and Persian language were included from inception until January 2019, but the type of study is not limited. A total of 52 potentially relevant articles with data on 36,523 participants were included in this review. In the population with health conditions, the average HL score was 62.51 (95% CI: 59.95-65.08), while in the patient population, the HL score was 64.04 (95% CI: 60.64-67.45). Health literacy was positively and significantly correlated with self-care behaviors 0.42 (95% CI; 0.35-0.49), self-efficacy 0.35 (95% CI; 0.26-0.43), knowledge 0.50 (95% CI; 0.44-0.55), communication skills 0.33 (95% CI; 0.25-0.41), and health promotion behaviors 0.39 (95% CI; 0.35-0.44). The meta-analyses showed that overall, HL interventions significantly improved HL status, self-efficacy, and health promotion behaviors. Results indicate that HL status was in the range of marginal HL level in the Iranian population. Our finding highlights the beneficial impact of HL intervention on health-promoting behaviors and self-efficacy, particularly in low literacy/socioeconomic status people.

Health Literacy in Iranian Women: A Systematic Review and Meta-Analysis.

BACKGROUND: Inadequate health literacy (HL) is associated with poorer health outcomes and worse health care. Up to one-half of Iranian women have difficulty in interpreting medical information, and national HL assessment has been limited in Iran. We have undertaken a systematic review of the literature and used a meta-analysis to examine the situation of HL status in Iranian women, and determine the relationship between HL and self-efficacy, and self-care behaviors. METHODS: Six databases (PubMed, Web of Science, Scopus, Google Scholar, Scientific Information Database) and other non-indexed citations were searched using a variety of keywords regarding HL and Iranian women. The bias risk was decreased by the involvement of two independent reviewers assessing study quality and eligibility of included articles. RESULTS: The average HL scores were in the range of marginal or limited (63.08; 95% CI, 59.83-66.32) in the Iranian women. The HL score was significantly higher among pregnant women (67.55; 95% CI, 32.54-82.57) and was lower in women with chronic disease (57.79; CI, 48.34-67.24). There was a significant association between HL and self-efficacy and self-care behaviors. CONCLUSION: The average level of HL in the period of the review was marginal among Iranian women. The relationship of HL with self-efficacy and self-care behaviors was statistically significant but moderate.

Reliability and Validity of the Persian Version of the Foot Function Index in Patients with Foot Disorders.

BACKGROUND: Foot function index (FFI) is a worthy subjective patient reported outcome measures (PROM) tool for evaluation of the outcomes of medical interventions on foot and ankle. This study was conducted to assess the validity of the Persian version of the foot function index (FFI). METHODS: After translating the original FFI into Persian, back-translation was performed on the agreed Persian version and the final version was established. A total of 113 Persian-speaking patients with foot and ankle problems were enrolled in this study and were asked to fill in the FFI. RESULTS: The Cronbach's alpha for subsections of FFI and MOXFQ was above 0.8 and 0.7, respectively, while it was 0.95 and 0.93 for total FFI and MOXFQ, respectively. The ICC for all subsections of MOXFQ and FFI was above 0.7. The Pearson's correlation coefficient for all subsections of FFI and MOXFQ was significant (P<0.01). CONCLUSION: The Persian version of FFI is valid and reproducible in Persian speaking population. LEVEL OF EVIDENCE: IV.

Unmet needs in Iranian cancer patients.

Background: The identification and management of unmet needs is an essential component of health care for the growing cancer patient population. Information about the prevalence of unmet need can help medical service planning/redesigning. Therefore, this study aimed to identify unmet needs in Iranian patients suffering from cancer. Methods: This cross-sectional correlational study was conducted on 650 cancer patients admitted to the major medical centers in Mashhad and Neyshabur by census sampling. The data was gathered by the Survivor Unmet Needs Survey (SUNS). Data were analyzed using ANOVA, t-test and Pearson correlation. Results: Most of participants were female (56%, n=263) and Mashhad resident (67.1%, n=436). The most common cancers were colorectal (17.8 %, n=116), stomach (13.6%, n=88) and lung (9.4%, n=62), respectively. The highest unmet needs score belonged to work and financial needs (2.46 ± 0.91), and the least was the emotional domain (1.92±0.90). Among demographic factors, a significant relationship was found between resident places (p<0.001), and cancer type (p<0.0001). Conclusion: This is the first study addressing the unmet needs of cancer patients in Iran. It reveals that cancer patients had a relative high number of unmet needs; this shows the necessity of including these factors in the routine assessment of all cancer patients and planning treatment interventions based on their individual's need.

Evaluation of parametric models by the prediction error in colorectal cancer survival analysis.

AIM: The aim of this study is to determine the factors influencing predicted survival time for patients with colorectal cancer (CRC) using parametric models and select the best model by predicting error's technique. BACKGROUND: Survival models are statistical techniques to estimate or predict the overall time up to specific events. Prediction is important in medical science and the accuracy of prediction is determined by a measurement, generally based on loss functions, called prediction error. PATIENTS AND METHODS: A total of 600 colorectal cancer patients who admitted to the Cancer Registry Center of Gastroenterology and Liver Disease Research Center, Taleghani Hospital, Tehran, were followed at least for 5 years and have completed selected information for this study. Body Mass Index (BMI), Sex, family history of CRC, tumor site, stage of disease and histology of tumor included in the analysis. The survival time was compared by the Log-rank test and multivariate analysis was carried out using parametric models including Log normal, Weibull and Log logistic regression. For selecting the best model, the prediction error by apparent loss was used. RESULTS: Log rank test showed a better survival for females, BMI more than 25, patients with early stage at diagnosis and patients with colon tumor site. Prediction error by apparent loss was estimated and indicated that Weibull model was the best one for multivariate analysis. BMI and Stage were independent prognostic factors, according to Weibull model. CONCLUSION: In this study, according to prediction error Weibull regression showed a better fit. Prediction error would be a criterion to select the best model with the ability to make predictions of prognostic factors in survival analysis.