Do Spousal Intimate Relationships Affect Fertility Intentions and Preferences?

The fertility influence of spousal intimate relationships is unknown. Drawing on the Giddens’s theory of transformation of intimacy, this study proposed a hypothesis that couples supporting egalitarian intimate relationships, with a greater risk profile attached to the relationship, and having less attachments to the external normative pressures shaping marital relations, are more likely to have low-fertility intentions and preferences. Using data from a self-administered pilot survey (n = 375 prospective grooms and brides) designed by the authors, and employing multivariate regression models, we found that the lower attachment to external social forces in mate selection was associated with the lower ideal number of children, and those with a greater spousal relational egalitarianism and a higher risk profile attached to their relationships preferred lower number of children and were less likely to intend to have children after marriage. The study sheds new light on the determinants of low fertility.Social Sciences and Humanities Research Council of Canadahttps://doi.org/10.13039/501100000155Nipissing Universityhttps://doi.org/10.13039/100009369Peer Reviewe

Identifying the Relationship between Different Factors Affecting 13 to 18-Year-Old Students Mental Health in Different Regions of Iran Using Random Forest Technique

Introduction: Considering the students’ importance in the construction and development of society, analyzing data on students' mental health is essential. However, the growing volume of data requires analysis and management, and at a higher level, the discovery of knowledge, and the use of techniques such as data mining in the health field becomes more apparent.Methods: The research conducted in 1399 is based on the data cleansing of the Caspian 5 questionnaire conducted in Iran from 1393 to 1394. Using purposive sampling, the authors extracted 23 characteristics affecting the mental health of students aged 13 to 18 years in 4 regions: North, South, West, and East Central.  A set of characteristics affecting mental health were extracted for the provined included in each region.Results: In the southern regions, the consumption of sweets and in the northern regions, the consumption of sausages, hot dogs, pizzas, and hamburgers had the greatest impact on students’ mental health. In the western regions, tea, and coffee, and in the central regions, the average sleep per week had the greatest impact on mental health.Conclusion: it can be concluded that nutrition is the most important factor affecting mental health although the results showed that in some parts of the country, physical activity and sleep quality can also affect mental health, so direct impact of these parameters should not be ignored

Evaluation of Anthropometric Indices of Patients with Left Ventricle Dysfunction Fallowing First Acute Anterior Myocardial Infarction

Introduction: In the current study, we evaluated the effect of anthropometric indices on ejection fraction following first acute anterior myocardial infarction. Methods: In an analytic-cross sectional study, 50 patients with acute anterior myocardial infarction and abnormal anthropometric indices (Body Mass Index (BMI) ≥ 30, Waist Hip Ratio (WHR) ≥ 1 and ≥ 0.85 in males and females respectively and Waist Circumference (WC) ≥ 102 cm and ≥ 88 cm in males and females respectively) were recruited as case group and 50 patients with acute anterior myocardial infarction and normal anthropometric indices as control group. Subsequently, the relation between anthropometric indices and left ventricle dysfunction was evaluated and compared between two groups. Results: 77 peopleof the studied patients were male and 23 female with the mean age of 59± 1.2 years and an age range of 32-90 years. To evaluate the left ventricle function, the mean ejection fraction of the patients was measured as 34.3± 7.2 % and 44.8± 6.3% in patients withabnormal anthropometric indices and patients with normal anthropometric indices respectively (P= 0.0001). Calculation of the correlation coefficient between ejection fraction and BMI, WHR and WC in males and females revealed a moderate reverse (r=-0.521 tor=-0.691) and statistically significant (P= 0.0001) relations which was of more strength in females. Conclusion: Anthropometric indices including BMI and waist circumference influence cardiac function following myocardial infarction