Background & Aim: Primary dysmenorrhea is a common medical disorder in young women that affects their quality of life. According to the research studies, overweight and obesity increase biosynthesis of the prostaglandin and consequently increase the severity of dysmenorrhea. The aim of this study was to examine the prevalence and severity of primary dismenorrhea and its relation to anthropometric parameters.

Methods & Materials: In this descriptive-analytical study, 388 students from Ahwaz University of Medical Sciences were selected using random cluster sampling. Demographic data were collected using a questionnaire. The height and weight, BMI, fat mass, waist and hip circumferences, waist to hip ratio (WHR) and waist to height ratio (WHtR) were measured. Visual Analogue Scale (VAS) was used to evaluate the severity of dysmenorrhea. Data were analyzed using Pearson correlation test. The p<0.05 was considered to be significant.

Results: Mean age of the participants was 20.7±1.8 years. The mean age at menarche was 13.4±1.2 years. Moderate or severe dysmenorrheal were experienced by 71.65% of the participants. The severity of dysmenorrhea was significantly related to body fat mass, waist circumference, hip circumference and WHtR (P<0.05). However, there was no significant relationship between the severity of dysmenorrhea with weight or BMI.

Conclusion: Anthropometric parameters that are associated with central obesity such as waist circumference and WHtR are more related to the severity of dysmenorrhea. Increased visceral fat mass is a more effective predictor for dysmenorrhea. More studies are needed to clarify these relationships.

  Background & Aim: There is little information regarding relationship between maternal dietary pattern and infant anthropometric parameters at birth. This study was carried out to determine relationship between dietary patterns in pregnancy with infants' anthropometric parameters .

  Methods & Materials: In this cross-sectional study, 94 pregnant women (GA: 37-40 weeks) referred to Ahvaz Razi hospital were selected. Anthropometric parameters were measured. The dietary intakes were assessed using a semi-quantitative food frequency questionnaire. Factor analysis was used to identify dietary patterns. Statistical analysis was done in the SPSS. 

  Results: In this study, three major dietary patterns including "healthy", "traditional" and "western" dietary patterns were identified. After adjusting of confounders (age, physical activity, energy intake, pregnancy weight gain and infant sex), the relationship between dietary patterns with birth weight, height and head circumference were exhibited in three models. The relationship between healthy dietary pattern and infant weight, height and head circumference at birth was significantly positive in all models (P<0.05). Western dietary pattern had significant negative relationship with head circumference in the model 1 and 2. Moreover, it had negative relationship with birth weight in the model 1 (P<0.05). Traditional dietary pattern did not show any significant relationship with anthropometric parameters at birth.

  Conclusion: The present study found significant relationship between maternal dietary patterns with anthropometric parameters at birth. Further prospective studies are suggested to confirm the findings.