fMRI-Based Multi-class DMDC Model Efficiently Decodes the Overlaps between ASD and ADHD.

Introduction: Neurodevelopmental disorders comprise a group of neuropsychiatric conditions. Presently, behavior-based diagnostic approaches are utilized in clinical settings, but the overlapping features among these disorders obscure their recognition and management. Attention deficit hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) have common characteristics across various levels, from genes to symptoms. Designing a computational framework based on the neuroimaging findings could provide a discriminative tool for ultimate more efficient treatment. Machine learning approaches, specifically classification methods are among the most applied techniques to reach this goal. Methods: We applied a novel two-level multi-class data maximum dispersion classifier (DMDC) algorithm to classify the functional neuroimaging data (utilizing datasets: ADHD-200 and autism brain imaging data exchange (ABIDE)) into two categories: Neurodevelopmental disorders (ASD and ADHD) or healthy participants, based on calculated functional connectivity values (statistical temporal correlation). Results: Our model achieved a total accuracy of 62% for healthy controls. Specifically, it demonstrated an accuracy of 51% for healthy subjects, 61% for autism spectrum disorder, and 84% for ADHD. The support vector machine (SVM) model achieved an accuracy of 46% for both the healthy control and ASD groups, while the ADHD group classification accuracy was estimated to be 84%. These two models showed similar classification indices for the ADHD group. However, the discrimination power was higher in the ASD class. Conclusion: The method employed in this study demonstrated acceptable performance in classifying disorders and healthy conditions compared to the more commonly used SVM method. Notably, functional connections associated with the cerebellum showed discriminative power.

Investigating Blood Lead Levels and its Health Effects on Employees of a Petroleum Industry and the Surrounding Residents: A Case Study of Kirkuk City-Iraq.

OBJECTIVE: This study has been aimed to investigate factors associated with elevated blood lead levels (BLLs) across different percentiles in individuals employed in the petroleum industry and residents of Kirkuk city. Additionally, to provide evidence-based approaches to mitigate exposure risks and safeguard vulnerable populations. METHODS: The study involved 357 participants and utilized quantile regression to examine BLL in petroleum industry workers and Kirkuk residents. RESULTS: Median BLLs were higher among workers (17.5 µg/dL) compared to residents in the city (9.9 µg/dL) and suburbs (7.4 µg/dL). Factors such as smoking, outdoor work, and lower education were associated with elevated BLLs, as confirmed by quantile regression. CONCLUSIONS: This study found higher BLLs in petroleum workers compared to Kirkuk residents, associated with smoking, outdoor work, and lower education. The results emphasize the need for targeted interventions and policies to mitigate lead exposure risks in this industrial region.

Test of Oral Health Literacy in Adults (TOHLA): development and psychometric evaluation of a new scale.

This study aimed to develop and rigorously evaluate the Test of Oral Health Literacy in Adults (TOHLA) for the Iranian population, addressing the limitations of existing oral health literacy (OHL) measurement instruments and contributing to the literature on OHL assessment. The development of the TOHLA involved a qualitative approach, which included a comprehensive literature review and semi-structured interviews with a panel of 15 experts from diverse fields and 22 Iranian adults aged 18 to 64 years. The instrument was designed with 48 items categorized into four domains: cognitive skill, communication skill, media skill, and functional skill. Content validity was established through expert input and content validation indices. Construct validity was supported by factor analysis, and concurrent validity was assessed by comparing TOHLA scores with demographic variables. Internal consistency and test-retest reliability analyses were performed to assess the instrument's reliability. The psychometric evaluation of the TOHLA demonstrated strong content validity, construct validity, concurrent validity, internal consistency, and test-retest reliability. The instrument exhibited a high level of internal consistency, with a Cronbach's alpha coefficient of 0.81 for the entire scale. Test-retest reliability was satisfactory, with an intraclass correlation coefficient (ICC) of 0.83. Concurrent validity analysis showed statistically significant associations between OHL scores and demographic variables, supporting the instrument's overall performance. The TOHLA overcomes the weaknesses observed in existing instruments and offers a comprehensive tool with strong psychometric properties to assess the OHL of the Iranian adult population. Researchers, policymakers, and healthcare providers can utilize the TOHLA to address oral health challenges and enhance overall oral health outcomes among Iranian adults.

Epidemiologic Features and Risk Factors for Crimean-Congo Hemorrhagic Fever in Dhi Qar Province, Iraq.

BACKGROUND: Crimean-Congo hemorrhagic fever virus (CCHFV) is endemic in Iraq, where recurrent epidemics have been constantly observed during the last five years. The present study aimed to determine the factors associated with Crimean-Congo hemorrhagic fever (CCHF) cases in Dhi Qar province during the year 2022. METHODS: A test-negative case-control design was used to analyze 621 CCHF patients, of which 162 were confirmed and 459 were suspected cases. To identify the confirmed and suspected cases, reverse transcriptase polymerase chain reaction (RT-PCR) was used. Suspected patients whose PCR test results were negative were selected as the control group. Data on potential risk factors for CCHF were collected as existing data for previous years for the same geographical locations in Dhi Qar province. Logistic regression analyses were used to determine the correlation between probable risk factors and confirmed CCHF cases. RESULTS: The incidence rate of CCHF was 6.8% per 100,000 people. The total number of deaths was 48 for patients with a case fatality rate of 7.7%. The patients' ages ranged from one year to 65 years, with an overall mean ± SD of 36.08 ± 18.29 years. A total of 98.2% of the patients were between 15 and 65 years of age; 58% of the reported patients were male, and the male-to-female ratio was 1.4:1. Additionally, contact with raw meat, animal contact, and tick bite had the highest percentages for CCHF positivity cases. CONCLUSIONS: Male gender, high-risk jobs like housewives, health staff, shepherds, butchers, animal dealers, slaughterhouse workers, veterinary staff, and farmers, tick bites, and contact with raw meat were statistically significant predictors for increasing CCHF incidence in Dhi Qar province during the year 2022.

Exploring Blood Lead Level Determinants in Refinery Workers: A Cross-Sectional Study.

BACKGROUND: Occupational lead exposure poses a significant risk to workers in industrial settings, especially in petroleum refineries. The study aimed to examine the prevalence and determinants of high blood lead concentrations among refinery workers in Kirkuk, Iraq. It has also been aimed to provide evidence-based approaches to identify associated risk factors. METHODS: A cross-sectional study was conducted among 187 workers from three departments (transportation, storage, and production) in a petroleum refinery from August 2023 to April 2024. Blood lead levels (BLLs) were measured using graphite furnace atomic absorption spectroscopy (GFAAS) (Agilent, Santa Clara, CA). The elevated BLLs were defined as lead levels in blood samples greater than 10 µg/dL. Data on demographic characteristics, such as occupations, smoking habits, and drinking milk, were collected using a researcher-developed information sheet. Statistical analyses included the Kruskal-Wallis test and Pearson Chi-Square test, and logistic regression was used to address the determinants of elevated BLLs. The corresponding associations were reported using odds ratios (OR) and adjusted OR (AOR) along with 95% confidence intervals (CIs). RESULTS: Eighty-five percent of the workers had high BLLs, with a median BLL of 17.11 µg/dL. The findings revealed that workers employed in outdoor settings had 4.25 times higher AOR (95% CI: 1.24-14.48) of experiencing high BLLs compared to those working indoors, after adjusting for other factors. This was especially true for workers who spent nine to 16 hours outdoors. Additionally, age and smoking were also found to be associated with an increased risk of high BLLs. On the other hand, the analysis indicated that drinking milk had a protective effect against high BLLs. CONCLUSION: The high prevalence of elevated BLLs among refinery workers in Kirkuk underscores the urgency for immediate interventions. Regular monitoring of BLLs, improved training, dietary adjustments (e.g., consuming calcium and phosphate-rich milk, which can help lower BLLs), and smoking cessation programs are recommended to reduce lead exposure and safeguard workers' health. Furthermore, the results suggest that drinking milk could potentially reduce BLLs among petroleum refinery workers. Additional research is necessary to evaluate the effectiveness of these interventions and to continue monitoring exposure levels.

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.

Test of Oral Health Literacy in Adults (TOHLA): development and psychometric evaluation of a new scale

Abstract This study aimed to develop and rigorously evaluate the Test of Oral Health Literacy in Adults (TOHLA) for the Iranian population, addressing the limitations of existing oral health literacy (OHL) measurement instruments and contributing to the literature on OHL assessment. The development of the TOHLA involved a qualitative approach, which included a comprehensive literature review and semi-structured interviews with a panel of 15 experts from diverse fields and 22 Iranian adults aged 18 to 64 years. The instrument was designed with 48 items categorized into four domains: cognitive skill, communication skill, media skill, and functional skill. Content validity was established through expert input and content validation indices. Construct validity was supported by factor analysis, and concurrent validity was assessed by comparing TOHLA scores with demographic variables. Internal consistency and test-retest reliability analyses were performed to assess the instrument's reliability. The psychometric evaluation of the TOHLA demonstrated strong content validity, construct validity, concurrent validity, internal consistency, and test-retest reliability. The instrument exhibited a high level of internal consistency, with a Cronbach's alpha coefficient of 0.81 for the entire scale. Test-retest reliability was satisfactory, with an intraclass correlation coefficient (ICC) of 0.83. Concurrent validity analysis showed statistically significant associations between OHL scores and demographic variables, supporting the instrument's overall performance. The TOHLA overcomes the weaknesses observed in existing instruments and offers a comprehensive tool with strong psychometric properties to assess the OHL of the Iranian adult population. Researchers, policymakers, and healthcare providers can utilize the TOHLA to address oral health challenges and enhance overall oral health outcomes among Iranian adults.

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.

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.

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.

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.

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.