Enhancing Public Health Surveillance: Outbreak Detection Algorithms Deployed for Syndromic Surveillance During Arbaeenia Mass Gatherings in Iraq.

BACKGROUND: Large gatherings often involve extended and intimate contact among individuals, creating environments conducive to the spread of infectious diseases. Despite this, there is limited research utilizing outbreak detection algorithms to analyze real syndrome data from such events. This study sought to address this gap by examining the implementation and efficacy of outbreak detection algorithms for syndromic surveillance during mass gatherings in Iraq. METHODS: For the study, 10 data collectors conducted field data collection over 10 days from August 25, 2023, to September 3, 2023. Data were gathered from 10 healthcare clinics situated along Ya Hussein Road, a major route from Najaf to Karbala in Iraq. Various outbreak detection algorithms, such as moving average, cumulative sum, and exponentially weighted moving average, were applied to analyze the reported syndromes. RESULTS: During the 10 days from August 25, 2023, to September 3, 2023, 12202 pilgrims visited 10 health clinics along a route in Iraq. Most pilgrims were between 20 and 59 years old (77.4%, n=9444), with more than half being foreigners (58.1%, n=7092). Among the pilgrims, 40.5% (n=4938) exhibited syndromes, with influenza-like illness (ILI) being the most common (48.8%, n=2411). Other prevalent syndromes included food poisoning (21.2%, n=1048), heatstroke (17.7%, n=875), febrile rash (9.0%, n=446), and gastroenteritis (3.2%, n=158). The cumulative sum (CUSUM) algorithm was more effective than exponentially weighted moving average (EWMA) and moving average (MA) algorithms for detecting small shifts. CONCLUSION: Effective public health surveillance systems are crucial during mass gatherings to swiftly identify and address emerging health risks. Utilizing advanced algorithms and real-time data analysis can empower authorities to improve their readiness and response capacity, thereby ensuring the protection of public health during these gatherings.

A school-based randomized controlled field trial to improve Beliefs About Obese Persons (BAOP) and Attitudes Towards Obese Persons (ATOP) among adolescents.

OBJECTIVES: A negative attitude towards obesity may lead to stigma and thus lower self-esteem in people with obesity of any society. The purpose of this study was to assess the impact of a school-based randomized controlled field trial on female adolescents' attitudes and beliefs towards people with obesity. METHODS: This experimental study was conducted among 124 middle school students (control group=62, intervention group=62). Using a cluster random sampling method, four schools were chosen and randomly assigned to intervention and control groups. The data collection tool was the Attitudes Toward Obese Persons (ATOP) and Beliefs About Obese Persons (BAOP) scales, which were used after validity and reliability processes. The intervention program was developed and implemented following pretest, responses analysis, and educational needs assessment in two sessions (180 min). The follow-ups were performed immediately and two months after the intervention. Data were analyzed by SPSS version 16.0 using independent t-test, chi-square test, repeated measures ANOVA, and ANCOVA at the significance level of 0.05. RESULTS: The mean BAOP scores of each group before, immediately and two months after the intervention were significantly different between (p<0.001). There was no significant difference between the mean ATOP and BAOP scores of the two groups before, immediately, and two months after the intervention (p>0.001). CONCLUSIONS: It seems that beliefs and attitudes regarding obesity as well as discriminatory perceptions towards people with obesity have high firmness and resistance and require innovative and appropriate interventions.

Diabetes-related instrument to assess preventive behaviors among adolescents (DIAPBA): a tool development and psychometric research.

BACKGROUND: Type 2 diabetes is a chronic but preventable disease that is on the rise among adolescents. Evaluating adolescents' behavior and planning to prevent it require a valid and reliable instrument. This study aims at designing a psychometric instrument to measure adolescents' behavior with respect to type-2 diabetes. RESEARCH DESIGN AND METHODS: In this methodological research, 770 students (adolescent boys and girls aged 13-15 years) participated through multistage sampling. The Inclusion criteria were: junior high school students, students' willingness for participation and not suffering from type-1 or type-2 diabetes. The questionnaire was designed by examining the relevant literature and the existing questionnaires as well as considering the research team's comments. The validity of the study was determined through face validity and content validity both quantitatively and qualitatively. The construct validity was determined through exploratory and confirmatory factor analysis. Reliability was measured via intraclass consistency coefficient (ICC) and internal consistency reliability was measured by Cronbach Alpha. SPSS 16 and Eq. 6.1 were used for data analysis. RESULTS: At first, a list of 47 initial items was designed and compiled, and after by removing similar (10 questions) or inappropriate sentences (12 questions), a draft questionnaire with 25 questions was designed. No items were removed in the face validity phase. Based on exploratory factor analysis, the number of items in the questionnaire was reduced to 20 items and was categorized in five dimensions of stress management, healthy food/healthy diet, unhealthy food/unhealthy diet, high-risk behavior, and self-care. The results of confirmatory factor analysis confirmed the model. The internal consistency coefficient was confirmed measuring Cronbach Alpha at 0.70 with ICC = 0.80. CONCLUSION: The questionnaire designed has standard psychometric properties to assess adolescents' behavior with respect to type-2 diabetes prevention. The reliability and the validity of the questionnaire as well as its general structure were confirmed.

Risk of recurrence at the time of withdrawal of short- or long-term methimazole therapy in patients with Graves' hyperthyroidism: a randomized trial and a risk-scoring model.

PURPOSE: In Graves' disease, administration of low-dose methimazole for more than 60 months induces higher remission rates compared with the conventional duration of 12-18 months. However, the risk of recurrence and its predictors beyond 48 months of drug withdrawal are not known. The aims of this study were to determine the risk of recurrence during 84 months after withdrawal of short- or long-term methimazole therapy and a risk stratification for recurrence of hyperthyroidism. METHODS: A total of 258 patients were treated with methimazole for a median of 18 months and randomized to discontinuation of the drug(conventional short-term group; n = 128) or continuation of the treatment up to 60-120 months(long-term group; n = 130). Patients were followed for 84 months after methimazole withdrawal. Cox proportional hazards modeling was performed to identify factors associated with relapse and develop a risk-scoring model at the time of discontinuing the treatment. RESULTS: Hyperthyroidism recurred in 67 of 120(56%) of conventionally-treated patients versus 20 of 118(17%) of those who received long-term methimazole treatment, p < 0.001. Age, sex, goiter grade, triiodothyronine, thyrotropin, and thyrotropin receptor antibodies were significant predictors of recurrence in both "conventional" and "long-term" groups but free thyroxine just in the "long-term" group. The risk-scoring model had a good discrimination power (optimism corrected c-index = 0.78,95%CI = 0.73-0.82) with a range of 0-14 and sensitivity of 86% and specificity of 62% at the risk-score of eight. CONCLUSION: A relapse-free state was achieved in 83% of patients with Graves' hyperthyroidism 84 months after cessation of long-term methimazole treatment which could be predicted by some significant predictors in a simple risk-scoring system.

Incidence of rhabdomyolysis occurrence in psychoactive substances intoxication: a systematic review and meta-analysis.

Rhabdomyolysis is a potentially life-threatening condition induced by diverse mechanisms including drugs and toxins. We aimed to investigate the incidence of rhabdomyolysis occurrence in intoxicated patients with psychoactive substances. In this review, three databases (PubMed, Scopus, Web of Science) and search engine (Google Scholar) were searched by various keywords. After the screening of retrieved documents, related data of included studies were extracted and analyzed with weighted mean difference (WMD) in random effect model. The highest incidence of rhabdomyolysis was observed in intoxication with heroin (57.2 [95% CI 22.6-91.8]), amphetamines (30.5 [95% CI 22.6-38.5]), and cocaine (26.6 [95% CI 11.1-42.1]). The pooled effect size for blood urea nitrogen (WMD = 8.78, p = 0.002), creatinine (WMD = 0.44, p < 0.001), and creatinine phosphokinase (WMD = 2590.9, p < 0.001) was high in patients with rhabdomyolysis compared to patients without rhabdomyolysis. Our results showed a high incidence of rhabdomyolysis induced by psychoactive substance intoxication in ICU patients when compared to total wards. Also, the incidence of rhabdomyolysis occurrence was high in ICU patients with heroin and amphetamine intoxication. Therefore, clinicians should anticipate this complication, monitor for rhabdomyolysis, and institute appropriate treatment protocols early in the patient's clinical course.

Association between intoxication with psychoactive substances and adverse effects occurrence in consumers.

Background: The prevalence of psychoactive substance use is increasing worldwide and identifying adverse effects of these types of drugs is necessary in intoxicated patients. Objective: We aimed to investigate the association of psychoactive substance intoxication with their adverse effects on the functioning of the bodily organs. Methods: This was a single-center study between March 2019 and April 2022 on intoxicated patients with psychoactive substances. Inclusion criteria were intoxication with alcohol, opioids, and stimulants, and having available results of laboratory biomarkers. Demographic and clinical data of patients at the time of admission as well as during hospitalization were reviewed, retrospectively. Data were analyzed using a generalized linear mixed model in R software and the Adjusted Odds Ratio (AOR) was estimated. Results: A total of 800 hospitalized patients in the ICU (n = 400) and general ward (n = 400) were divided into two groups of intoxicated with alcohol (n = 200) and opioids or stimulants (n = 200). Liver (AOR = 0.15, p = 0.033; AOR = 0.13, p = 0.007) and kidney (AOR = 0.46, p = 0.004; AOR = 0.24, p = 0.021) dysfunction occurred less in the ICU and general ward, respectively, in opioids or stimulants intoxication compared to alcohol. Cardiovascular dysfunctions occurred more in opioids or stimulants intoxication compared to alcohol in both ICU (AOR = 10.32, p < 0.0001) and general ward (AOR = 4.74, p < 0.0001). Conclusion: Kidney dysfunctions had a greater effect on mortality compared to other dysfunctions. During the follow-up, the incidence of dysfunctions increased in those intoxicated with opioids or stimulants. Men experienced more liver and kidney dysfunctions as well as mortality, but psychoactive substance experience was a protective factor in cardiovascular dysfunctions and mortality.

A clinical prediction model for predicting the surgical site infection after an open reduction and internal fixation procedure considering the NHSN/SIR risk model: a multicenter case-control study.

Introduction: Surgical site infection (SSI) is one of the most common surgical-related complications worldwide, particularly in developing countries. SSI is responsible for mortality, long hospitalization period, and a high economic burden. Method: This hospital-based case-control study was conducted in six educational hospitals in Tehran, Iran. A total of 244 patients at the age of 18-85 years who had undergone open reduction and internal fixation (ORIF) surgery were included in this study. Among the 244 patients, 122 patients who developed SSIs were selected to be compared with 122 non-infected patients used as controls. At the second stage, all patients (n = 350) who underwent ORIF surgery in a hospital were selected for an estimation of the standardized infection ratio (SIR). A logistic regression model was used for predicting the most important factors associated with the occurrence of SSIs. Finally, the performance of the ORIF prediction model was evaluated using discrimination and calibration indices. Data were analyzed using R.3.6.2 and STATA.14 software. Results: Klebsiella (14.75%) was the most frequently detected bacterium in SSIs following ORIF surgery. The results revealed that the most important factors associated with SSI following an ORIF procedure were found to be elder age, elective surgery, prolonged operation time, American Society of Anesthesiologists score of ≥2, class 3 and 4 wound, and preoperative blood glucose levels of >200 mg/dl; while preoperative higher hemoglobin level (g/dl) was found to be a protective factor. The evidence for the interaction effect between age and gender, body mass index and gender, and age and elective surgery were also observed. After assessing the internal validity of the model, the overall performance of the models was found to be good with an area under the curve of 95%. The SIR of SSI for ORIF surgery in the selected hospital was 0.66 among the patients aged 18-85 years old. Conclusion: New risk prediction models can help in detecting high-risk patients and monitoring the infection rate in hospitals based on their infection prevention and control programs. Physicians using prediction models can identify high-risk patients with these factors prior to ORIF procedure.

Cumulative burden and trajectories of body mass index and blood pressure from childhood and carotid intima-media thickness in young adulthood.

There are significant gaps in understanding of the association between levels and rate of change of body mass index (BMI) and blood pressure (BP) at different ages during childhood and carotid intima-media thickness (CIMT) in adulthood. We investigated the association between trajectories of BMI and BP from childhood to adulthood and adult CIMT among Iranian participants in the Tehran Lipid and Glucose Study (TLGS) cohort. A total of 1334 participants (692 men), from the TLGS cohort (1999-2018) with repeated measurements of BMI and BP (2-6 times) from childhood (3-18 years) to young adulthood (20-40 years) were selected. Trajectory parameters included levels and linear slopes of BMI and BP growth curve models, and cumulative burden defined as the area under those curves (AUC). After adjusting for confounders, AUC of BMI and diastolic blood pressure (DBP) were significantly associated with high CIMT in adulthood, with the standardized odds ratios (OR) and 95% confidence interval (95% CI) of 1.35 (1.12-1.62) and 1.27 (1.01-1.60), respectively. Associations between level-independent slopes of BMI and adult CIMT were significantly positive (ORs: 1.27 to 1.26) during childhood ages (3-18 years). Further, levels of BMI (ORs: 1.23 to 1.29) and DBP (ORs: 1.25 to 1.33) during the ages of 13-18 and 11-17 years, respectively, were significantly associated with CIMT in adulthood (all P < 0.05). The cumulative burden of BMI and DBP was associated with CIMT in adulthood. Adolescence is a crucial period for high CIMT, which has implications for early prevention of atherosclerosis.

Health beliefs on type 2 diabetes: a methodological research for development and psychometric evaluation of "DIABA" (Diabetes-related Instrument to Assess Beliefs of Adolescents) health beliefs on type 2 diabetes.

BACKGROUND: Several reports have shown an increase in the number of type-2 diabetics among adolescents creating an extra burden for this age group. However, there is no instrument assessing adolescents' attitude toward this disease. This study aims at designing a psychometric tool for assessing adolescents' health beliefs regarding type-2 diabetes. RESEARCH DESIGN AND METHODS: In this methodological research, 770 boy and girl adolescents (between 13 and 15) from Tehran participated through multistage sampling. The Inclusion criteria were: junior high school students, students' willingness for participation and not suffering from type-1 or type-2 diabetes. The questionnaire was designed by extensive literature review and the related existing questionnaires, as well as considering the research team's comments. The validity of the questionnaire was determined through face and content validity. The construct validity was determined through exploratory and confirmatory factor analysis. Reliability was measured via internal consistency coefficient (ICC) and internal consistency reliability was measured by Cronbach Alpha. SPSS 16 and EQS6.1 were used for data analysis. RESULTS: The pool of questions had 57 items, and by removing similar (23 questions) or inappropriate sentences (8 questions), a draft questionnaire with 26 questions was designed. No items were removed in the face validity phase. Based on the results of CVR and CVI, six items and 4 items in the exploratory factor analysis were removed. Finally, a questionnaire with 16 items in 4 dimensions of perceived self-efficacy, behavioral beliefs, perceived susceptibility and perceived severity was obtained. The results of confirmatory factor analysis confirmed the model. The internal consistency coefficient was confirmed measuring Cronbach Alpha at 0.78 and ICC = 0.73. CONCLUSION: The questionnaire designed can be employed as a reliable and valid instrument to assess the psychological perceptions and health beliefs of adolescents with respect to type-2 diabetes.

Adolescents diabetes awareness test (ADAT): Tool development and psychometrics evaluation research.

BACKGROUND: During the last two decades, several reports have indicated an increase in the number of type-2 diabetes among adolescents. Therefore, an assessment of adolescents' awareness of this disease deserves serious consideration. This study aims at designing a psychometric tool for assessing adolescents' awareness of type-2 diabetes. METHODS AND MATERIAL: In this methodological research, 770 students attending 10 middle schools (five girls "schools and five boys" schools) from Tehran participated in the study. The questionnaire was designed by examining the relevant literature and the existing questionnaires, as well as considering the research team's comments, and the initial pool of items with 57 questions was designed. Face validity, content validity, and construct validity were calculated to determine the validity of the instrument. Reliability was measured via internal consistency coefficient (ICC) and internal consistency reliability was measured with Cronbach Alpha. SPSS 16 was used for data analysis. RESULTS: The questionnaire was initially designed with 57 items. Based on the results of CVR and CVI, five questions were removed. The average CVR and CVI were 0.75 and 0.82, respectively. Following exploratory factor analysis, the 30 questions in the questionnaire were categorized into five dimensions: public awareness, symptoms, behavioral risk factors, long-term effects, and medium-term effects. The internal reliability was calculated for the whole questionnaire-ICC = 0.87 with a Cronbach alpha coefficient of 0.80. CONCLUSIONS: The resulting questionnaire on adolescents' awareness of type-2 diabetes, with 30 questions in five dimensions, can be employed by researchers for its high factor loading in factor analysis and its standard psychometric properties.

Assessment of renal function indexes in methamphetamine or tramadol intoxication adults to the emergency departments: a systematic review and meta-analysis.

BACKGROUND: Renal dysfunction is one of the adverse effects observed in methamphetamine (MET) or tramadol abusers. In this study, we aimed to review articles involving intoxication with MET or tramadol to assess the occurrence of renal dysfunction. METHODS: Two researchers systematically searched PubMed, Scopus, Web of Sciences, and Google Scholar databases from 2000 to 2022. All articles that assessed renal function indexes including creatine, Blood Urea Nitrogen (BUN), and Creatine phosphokinase (CPK) in MET and tramadol intoxication at the time of admission in hospitals were included. We applied random effect model with Knapp-Hartung adjustment for meta-analysis using STATA.16 software and reported outcomes with pooled Weighted Mean (WM). RESULTS: Pooled WM for BUN was 29.85 (95% CI, 21.25-38.46) in tramadol intoxication and 31.64(95% CI, 12.71-50.57) in MET intoxication. Pooled WM for creatinine in tramadol and MET intoxication was respectively 1.04 (95% CI, 0.84-1.25) and 1.35 (95% CI, 1.13-1.56). Also, pooled WM for CPK was 397.68(376.42-418.94) in tramadol and 909.87(549.98-1269.76) in MET intoxication. No significance was observed in publication bias and heterogeneity tests. CONCLUSION: Our findings showed that tramadol or MET intoxication is associated with a considerably increased risk of renal dysfunction that may result in organ failure.

Data-driven phenomapping for novel classification for cardiovascular outcomes compared with traditional obesity index: Tehran Lipid and Glucose Study.

OBJECTIVE: This study aimed to propose a data-driven framework for classification of at-risk people for cardiovascular outcomes regarding obesity and metabolic syndrome. DESIGN: A population-based prospective cohort study with a long-term follow-up. SETTING: Data from the Tehran Lipid and Glucose Study (TLGS) were interrogated. PARTICIPANTS: 12 808 participants of the TLGS cohort, aged ≥20 years who have followed for over 15 years were assessed. MAIN OUTCOME MEASURES: Data for 12 808 participants, aged ≥20 years who have followed for over 15 years, collected through TLGS as a prospective, population-based cohort study, were analysed. Feature engineering followed by hierarchical clustering was used to determine meaningful clusters and novel endophenotypes. Cox regression was used to demonstrate the clinical validity of phenomapping. The performance of endophenotype compared with traditional classifications was evaluated by the value of Akaike information criterion/Bayesian information criterion. R software V.4.2 was employed. RESULTS: The mean age was 42.1±14.9 years, 56.2% were female, 13.1%, 2.8% and 6.2% had experienced cardiovascular disease (CVD), CVD mortality and hard CVD, respectively. Low-risk cluster compared with the high risk had significant difference in age, body mass index, waist-to-hip ratio, 2 hours post load plasma glucose, triglyceride, triglycerides to high density lipoprotein ratio, education, marital status, smoking and the presence of metabolic syndrome. Eight distinct endophenotypes were detected with significantly different clinical characteristics and outcomes. CONCLUSION: Phenomapping resulted in a novel classification of population with cardiovascular outcomes, which can, better, stratify individuals into homogeneous subclasses for prevention and intervention as an alternative of traditional methods solely based on either obesity or metabolic status. These findings have important clinical implications for a particular part of the Middle Eastern population for which it is a common practice to use tools/evidence derived from western populations with substantially different backgrounds and risk profiles.

Identifying Factors Related to Serum Lipids Using Multilevel Quantile Model: Analysis of Nationwide STEPs Survey 2016.

Background: Lipid disorder is a modifiable risk factor for diseases related to plaque formation in arteries such as heart attack, stroke, and peripheral vascular diseases. Identifying related factors and diagnosis and treatment in time reduces the incidence of non-communicable diseases (NCDs). The aim of this study was to determine factors associated with lipids based on a national survey data. Methods: Data of 16757 individuals aged 25-64 years obtained from the Iranian STEPwise approach to NCD risk factor surveillance (STEPs) performed in 2016, through multistage random sampling, were analyzed. Because of clustered, hierarchical, and skewed form of the data, factors related to total holesterol (TC), triglycerides (TG), low-density lipoprotein-cholesterol) (LDL-C), high-density lipoprotein-cholesterol) (HDL-C), TG/HDL-C, TC/HDL-C, and LDL-C/HDL-C were determined applying multilevel quantile mixed model. Parameters of the model were estimated on the basis of random effect of the province as well as urban or rural area for 10th, 25th, 50th, 75th, and 90th quantiles. Statistical analyses were performed by R software version 4.0.2. Results: Significant relationship was found between age, body mass index (BMI), waist circumference (WC), diabetes, hypertension, smoking, physical activity, education level, and marital status with TC, LDL-C, HDL-C, LDL-C, and LDL-C/HDL-C. With increasing BMI and WC, subjects had higher levels of serum lipids, especially in higher quantiles of lipid levels. Lipid levels were significantly increased among smokers and those with diabetes or hypertension. The random effects were also significant showing that there is a correlation between the level of lipids in provincial habitants as well as urban and rural areas. Conclusions: This study showed that the effect of each factor varies depending on the centiles of the lipids. Significant relationship was found between sociodemographic, behaviors, and anthropometric indices with lipid parameters.

Longitudinal Associations Between TPO Gene Variants and Thyroid Peroxidase Antibody Seroconversion in a Population-Based Study: Tehran Thyroid Study.

Introduction: Autoimmune thyroid diseases (AITD) are usually accompanied by anti-thyroid antibodies which can serve as early predictive markers. This study was designed to investigate the relationship between thyroid peroxidase (TPO) gene variants and the presence of TPOAb and to evaluate the effect of environmental factors associated with seroconversion from TPOAb-negative to TPOAb-positive. Methods: Participants from phases 1 and 2 of the Tehran Thyroid Study in (n = 5327, ≥20 years) were evaluated in terms of TPOAb positivity, and its relationship with 53 single nucleotide polymorphisms (SNPs) from within the TPO gene (cross-sectional approach). TPOAb-negative participants (n = 4815) were followed up for seroconversion for 5.5 years. The relationship between the TPO gene variants and the TPOAb seroconversion was evaluated (longitudinal approach). Results: There were 521 TPOAb-positive participants in the cross-sectional phase and 266 new TPOAb-positive cases observed during the follow-up period. After quality control (Hardy-Weinberg equilibrium (p < 1 × 10-5) and minor allele frequency < 0.05), 49 SNPs were qualified for association analyses. From this set fourteen SNPs were identified that were associated with TPOAb positivity. rs6605278, located in the 3'UTR TPO gene, was the most highly significantly associated of the variant and remained associated after adjustment for age, gender, body mass index (BMI), smoking, number of parity, and oral contraceptive consumption in both cross-sectional and longitudinal analyses (p < 0.05). Conclusions: TPOAb-positivity can be partially explained by variants in the TPO gene. New TPOAb-associated SNPs were observed in Iranians as an ethnically diverse population.

Placental plastics in young women from general population correlate with reduced foetal growth in IUGR pregnancies.

Constant exposure to plastics particulates has raised concerns against human health, particularly when it comes to birth outcomes. The present study explores the first appraisal of plastic particles in fresh human placenta and its association with foetal growth in neonates. Specifically, 43 pregnant women from general population were selected and their placentas were analyzed by digital microscopy and Raman microspectroscopy for microplastics (MPs <5 mm). We used regression analysis to estimate associations between MPs count in placenta and neonatal anthropometric measurements. MPs were found in all (13 out of 13) intrauterine growth restriction (IUGR) pregnancies and their average abundance ranged from 2 to 38 particles per placenta, but were less than limit of detection (LOD) in normal pregnancies except three out of 30 subjects. This study is one of very few that detected MPs in human placenta in which particles <10 µm were the most abundant in both IUGR and normal pregnancies, accounting for up to 64%. Fragments clearly prevailed at normal pregnancies and fragments together with fibers predominated at IUGR placentas. Despite four different polymers forming the MPs being identified, the majority of MPs comprised of PE (polyethylene) and PS (polystyrene). Inverse associations between MPs exposure and birth outcomes were observed in terms of birth weight (r = - 0.82, p < 0.001), length (r = - 0.56, p < 0.001), head circumference (r = - 0.50, p = 0.001), and 1-min Apgar score (r = - 0.75, p < 0.001) among those with IUGR, compared to those that were nominated as normal pregnancies. While it seems plastic particles may affect placental-foetal interrelationship, the pattern of associations between their content in placenta and birth outcomes, however, shows evidence of a nonlinear or nonmonotonic dose response possibly through perturbation of gas and nutrients exchange which is worth future investigation.

Designing and psychometric assessment of the scale of factors influencing HPV vaccine uptake behaviors in young adults.

BACKGROUND: In order to increase HPV vaccination, it is necessary to identify the factors influencing vaccination behavior among different cultures and the young adult populations. To evaluate the factors influencing HPV vaccine uptake behaviors, valid, reliable, and culture-compatible scales are required. This study was conducted with the aim of designing and psychometric assessment of the scale of factors influencing HPV vaccine uptake behaviors in Young Adults (FI(HPV)VUBYA) in Iran. METHODS: The present study was carried out in a mixed-method in two steps: (a) Generating items using a qualitative study and literature review and (b) Reducing items by psychometric assessment of the designed scale. The initial set of items (N = 80) was prepared based on a qualitative study and literature review. A total of 400 young adults participated in online data collection from November 2019 to February 2020. The validity (face, content, and construct) and reliability (internal consistency and stability) of the scale were evaluated. RESULTS: The exploratory factor analysis (EFA) revealed that the scale has 7 factors, explaining 57.84% of the total extracted variance. There was also a knowledge factor that EFA did not analyze, but its validity and reliability were evaluated with 7 other factors. The results of confirmatory factor analysis showed a good model fit. Convergent and divergent validity of the scale was accepted for all factors. Good reliability was also reported for the scale. CONCLUSION: FI(HPV)VUBYA 8-factor scale has good validity and reliability among young Iranian adults. Due to its appropriate psychometric properties, this scale can be used on this population in future studies.

Spatiotemporal analysis of childhood cancers in Iran (2005-2013).

BACKGROUND: Childhood cancers are among the leading causes of child mortality worldwide. We aimed to analyze the spatiotemporal incidence patterns of five common cancer types in Iran. MATERIAL AND METHODS: A total of 17155 incident malignant 0-14 years old cases during 2005-2013 recorded by the Iran National Cancer Registry were included. An adaptive spatiotemporal smoothing model was applied to explore spatiotemporal variations of the age-standardized incidence rate (ASIR). RESULTS: The highest overall ASIR was estimated at 137.9 per million person-years in 2011-2013. Most of the five common cancers had an increasing trend in most provinces for both males and females during this time. CONCLUSION: Increasing ASIR and risk of cancers were observed during the study period, which follows the trend of childhood cancers incidence worldwide. The health system should take this rise as a serious alarm and provide appropriate prevention plans.

Vision-Related Quality of Life in Patients with Inherited Retinal Dystrophies.

Purpose: To evaluate the effect of inherited retinal dystrophies (IRDs) on vision-related quality of life (VRQoL) among IRDs' patients in Iran. Methods: This cross-sectional study was conducted on 192 patients with different types of IRDs who were randomly selected from registered patients in the Iranian National Registry for Inherited Retinal Dystrophy (IRDReg®). All ophthalmic findings were collected based on the recorded data in IRDReg®. Moreover, the eligible participants were interviewed to fill out the National Eye Institute Visual Functioning Questionnaire-25 (NEI VFQ-25) to assess their VRQoL. Ordinal logistic regression was used to evaluate the possible association of the different clinical and nonclinical factors such as demographic information, socioeconomic status, and visual function with VRQoL. Results: The overall mean of a composite score of VRQoL was 45. All subscales obtained from the NEI VFQ-25 questionnaire except general health, mental health, and ocular pain had a significant negative correlation with logMAR best corrected visual acuity (BCVA) and near visual acuity variables. There was a statistically significant relationship between VRQoL and factors like age (odds ratio [OR] = 0.91, 95% confidence interval [CI]: 0.87-0.94), employment status (OR = 1.37, 95% CI: 1.05-4.74), logMAR BCVA (OR = 0.31, 95% CI: 0.19-0.49) and normal color vision (OR = 1.92, 95% CI: 1.74-5.01). Conclusion: The VRQoL of patients with IRDs in this study was low. BCVA could be an indicator to show VRQoL.

Assessment of Intraorganizational Collaboration in the health sector during Disasters: Exploring a Valid and Reliable Assessment Tool for Disaster Risk Management.

Background: Collaboration, as a key factor in disaster risk management, is a mechanism that prevents the loss of time, investment, and resources. The variety of units in the health sector has made collaboration a major challenge. The present study aimed at developing a tool for assessing collaboration in the health sector during disasters. Methods: In this mixed-methods study, a questionnaire was developed by integrating the findings of a systematic literature review and a qualitative study. Face and content validation were performed. The reliability of the tool was tested through a 15-day interval test-retest by Cronbach's alpha and intraclass correlation coefficient (ICC) with 30 participants. Confirmatory factor analysis was done to test the validity and reliability of instrument using SmartPLS in a case study with 450 health sector staff. Results: The factors affecting intraorganizational collaboration of the health sector were identified in six categories and 19 subcategories by searching 46 articles in the systematic review and content analysis of 16 semistructured interviews with health sector staff. The results of content validity ratio (=0.81), content validity index (=0.92), Cronbach's alpha (=0.975), and ICC (=0.970) confirmed the validity and reliability of the tool. Convergent validity, discriminant validity, and reliability were approved by AVE (average variance extracted) >0.5, Fornell and Larcker matrix, and CR (composite reliability) >0.7. According to the positive result of R 2, Q 2, and goodness-of-fit (GOF) criteria, the model fit was confirmed. Conclusion: The results of validity and reliability measurements approved the proposed tool. The use of this tool is recommended for developing collaboration in the health sectors of different countries.

Long-term Survival Rate Following Myocardial Infarction and the Effect of Discharge Medications on the Survival Rate.

BACKGROUND: The evaluation of the risk factors associated with the long-term survival rate of patients with myocardial infarction (MI) and the effects of discharge medications can significantly help select the most effective strategies for improving treatment. STUDY DESIGN: A retrospective cohort study. METHODS: The participants of this retrospective cohort study were 21,181 patients who suffered from MI and were hospitalized in the cardiac care unit (CCU) of different public, private, and military hospitals in Iran from 20 March 2013 to 20 March 2014. Participants were followed up until February 2020 for any cardiovascular disease (CVD) mortality. To evaluate survival rate, the differences between groups, and the factors related to MI death, Kaplan-Meier, log-rank test, and Cox proportional-hazards model were used, respectively. RESULTS: One, three, five, and seven-year survival rates of patients were 88%, 81%, 78%, and 74%, respectively. Regarding the interaction effect of prescribed medical drugs, the highest 7-year survival rate of 86% (95% CI: 72%, 93%) was related to people who consumed anticoagulants, aspirin, clopidogrel, beta blockers, angiotensin-converting enzymes (ACEs), and angiotensin II receptor antagonist simultaneously. Considering the effect of other variables, the consumption of anticoagulants was associated with a decrease in survival rate (HR=1.13 CI: 1.06, 1.19). CONCLUSION: As evidenced by the results of this study, different combinations of prescribed medication drugs had protective effects on long-term mortality compared to the group without any drug. Nonetheless, according to the drugs in each combination therapy, this protective effect ranged from HR=0.27 to HR=0.89. It is recommended that further studies compare the long-term effects of different drug combinations and also consider adherence to treatment in evaluating the effects of these combinations.