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Objectives: Age of menarche is a determinant factor of cardiometabolic risk, adiposity and stature at adulthood. However, little is known about the transgenerational effects of age of menarche, especially beyond childhood of any offspring, and the studies remain limited to anthropometric outcomes in children at birth or before adolescence. In the present study, we aim to investigate the relationship of maternal age at menarche (MAM) with anthropometric and metabolic parameters in the young adult offspring (aged 15–35 years) in a Persian population. Design, Patients and Measurements: In this cohort‐based cross‐sectional study, we recruited 1139 mother–young adult dyads enroled in Rafsanjan Cohort Study (RCS) at adult RCS (aged 35–70 years) and youth RCS (aged 15–35 years) as part of the comprehensive PERSIAN (Prospective Epidemiological Research Studies in IrAN). In this study, MAM was categorized to early (MAM < 12 years), normal (12 ≤ MAM ≤ 14) and late menarche (MAM > 14 years). For these analyses, bivariate and multiple logistic regression models were used to investigate the relationships between late or early MAM and offspring anthropometric and metabolic parameters. Results: Early MAM displayed a significant association with an increased odds ratio (OR) of tall stature adjusting for sex, age, socioeconomic status index, maternal age at birth and maternal height (as genetically determined factor). Sensitivity analysis by sex indicated this relationship to be specific to male offspring only (adjusted OR: 1.84 95% CI: 1.13–3.00, p value:.014). In addition, late MAM displayed a significant association with reduced OR of overweight/obesity and abdominal obesity in daughters only (obesity adjusted OR: 0.49, 95% CI: 0.27–0.88, p value:.018, abdominal obesity adjusted OR: 0.44, 95% CI: 0.23–0.82, p value:.010). dose–response analysis by categorization of MAM, further supported our results. On the contrary, our analyses do not support a significant relationship between MAM and youth metabolic indices, that is, metabolic syndrome, fasting blood sugar (FBS), high‐density lipoprotein (HDL) and triglyceride (TG). Conclusions: The results of the present study indicate an association of maternal age of menarche with anthropometric measures of offspring in young adulthood in a sex differential manner. The data does not support a significant relationship between the metabolic indices FBS, TG and HDL in offspring with MAM. Overall, this study provides evidence for the intergenerational effects of age at menarche in the development of anthropometric measures in offspring in young adulthood (15–35), which is the first study of this kind in this age range. [ABSTRACT FROM AUTHOR]

Background: Although the effectiveness of some combined anthropometric and metabolic scores were evaluated in hypertension prediction, none of them had addressed their accuracy in association with overweight/obese populations. This study examined the accuracy of several anthropometric parameters in this regard and compared the novel indices to the ancient ones. Methods: Through a cross-sectional study, 5115 patients have been evaluated at the weight loss clinic. Data on demographic information, anthropometric indices, and biochemical measurements were assembled into a checklist. Multivariable regression modeling and the area under the receiver-operating characteristic (ROC) were analyzed using SPSS version 20. To find new combined scores, SEM (structural equation modeling) analysis was also adopted. P-values < 0.05 were considered statistically significant. Results: Considering ancient indices, WHtR (waist-to-height ratio) showed a sufficient area under the curve in predicting hypertension among both genders concomitant with WC (waist circumference) in men, and BRI (body roundness index) in women as highest AUC. The highest odds ratio (OR) for the presence of hypertension, based on the age-adjusted model, was BRI in females (OR, 3.335; 95% confidence interval [CI], 1.58– 7.28) and WC in males (OR, 13.478; 95% CI: 1.99– 45.02). The combined scores were not superior to the single ones. Conclusion: The most powerful association between hypertension and sufficient discrimination ability of normotensives from hypertensive patients was detected for BRI in women and WC among men. However, neither the BSI and BAI nor FMI and FFMI showed superiority to WC or WHtR in predicting the presence of hypertension. [ABSTRACT FROM AUTHOR]

Background and Objectives: Inadequate nutritional status is one of the most common problems in hemodialysis patients and is associated with increased mortality in these patients. Therefore, the present study was performed to determine the nutritional status of hemodialysis patients referred to Imam Reza Hospital in Kermanshah in 2019. Materials and Methods: This descriptive study was performed on 114 hemodialysis patients. Demographic information form and food frequency questionnaire (FFQ) were used for data collection. The questionnaires were applied in one stage in hemodialysis ward of Imam Reza Hospital in Kermanshah. Data were analyzed using nonparametric Mann-Whitney U, Kruskal-Wallis H, and chi-square tests. Results: Out of 114 patients undergoing hemodialysis, 65 (57.02%) were male and 49 (42.98%) were female. Mean and standard deviation of patients' age were 58.05± 13.98 years. The median consumption of bread and cereals, meat and beans, fruits and vegetables, fat and oil, and dairy products decreased with the increase of patients' age (p�€€€ 0.001). Patients who underwent dialysis three times a week consumed more bread and cereals, meat and legumes, dairy products, and fruits and vegetables (p<0.001), but consumed less pickles and condiments than patients who underwent dialysis twice a week (p�€€€ 0.001). Conclusion: The results of this study showed that in hemodialysis patients the consumption of bread and cereals and fruits and vegetables is less than the standard amount, but the consumption of dairy products, pickles, and condiments is more than the standard amount, which can be considered by policy makers and experts in this field. [ABSTRACT FROM AUTHOR]

Due to the radiosensitivity of paediatric patients to X-ray, it is necessary to survey the paediatric DRLs using size-specific dose estimates (SSDE). In the present study, we determined the local diagnostic reference levels (DRLs) for paediatric chest, head and abdomen-pelvis CT examinations and their Surview scans in Kermanshah city, Iran. For ≤1 year, 1–5 years, 5–10 years and 10–15 years the DRLs (mGy) based on SSDE were determined N/A, 6.00, 6.25, 8.27 for abdomen-pelvis, and 8.74, 7.45, 11.15, 10.45 for chest and 19.05, 18.33, 18.22, 20.14 for head examinations, respectively. The differences between body size and default phantom defined in CT scanners are significant and should be considered when determining the DRLs. Based on our findings, use of CTDIv and SSDE parameters for determining DRLs leads to significant different results in children; thus SSDE is suggested as a more accurate index than CTDIV for establishing DRLs in paediatric CT examinations. [ABSTRACT FROM AUTHOR]

To compare the pattern of brain waves in video game addicts and normal individuals, a case-control study was carried out on both. Thirty participants were recruited from 14 to 20 years old males from two gaming centers. Twenty healthy participants were gathered from different schools in Tehran using the available sampling method. The QEEG data collection was performed in three states: closed-eye and open-eye states, and during a working memory task. As expected, the power ratios did not show a significant difference between the two groups. Regarding our interest in the complexity of signals, we used the Higuchi algorithm as the feature extractor to provide the input materials for the multilayer perceptron classifier. The results showed that the model had at least a 95% precision rate in classifying the addicts and healthy controls in all three types of tasks. Moreover, significant differences in the Higuchi Fractal Dimension of a few EEG channels have been observed. This study confirms the importance of brain wave complexity in QEEG data analysis and assesses the correlation between EEG-complexity and gaming disorder. Moreover, feature extraction by Higuchi algorithm can render support vector machine classification of the brain waves of addicts and healthy controls more accurate., (© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

The main purpose of the present study is to investigate the potential for gender to moderate the relationships between facets of impulsivity and severity of problematic Internet use (PIU) among male and female university students in Iran. In this study, 201 individuals (95 male, 106 female) completed the Impulsive Behavior Scale-Short Form (Lynam 2013) and the Problematic and Risky Internet Use Screening Scale (Jelenchick et al. Computers in Human Behavior, 35, 171-178, 2014) and multidimensional-structural equation modeling was used to investigate a moderating role for gender in the relationship between aspects of impulsivity and PIU severity. In a general model including both genders and in models for males and females separately, the hypothesized relationship between impulsivity and PIU severity demonstrated a good fit to the data. Analyses also suggested that structural relations were equivalent for both groups. All regression weights in the general model and for each of the two groups were statistically significant. Amongst males and females, the model predictor variable accounted for 25% and 16%, respectively, of the variance in PIU severity. These findings suggest that impulsivity may predict PIU severity similarly among Iranian university students of both genders. [ABSTRACT FROM AUTHOR]