The relationship between pregnancy count and duration of breast-feeding with metabolic syndrome (Fasa Persian cohort study).

BACKGROUND: Changes that occur during pregnancy and after that during breastfeeding induce some symptoms similar to metabolic syndrome (MetS) risk factors. This study aims to determine the relationship between pregnancy, as well as the duration of breastfeeding and MetS controlling the effect of other risk factors like hypertension, glucose intolerance, triglyceride, central obesity, and reduction of high-density lipoprotein in women of Fasa Persian Cohort Study. MATERIALS AND METHODS: In this cross-sectional study, 5015 women aged 35-70 years were investigated in the Sheshdeh region from 2016 to 2021, and the information related to the disease symptoms was collected through questionnaires, examinations, and laboratory tests. MetS was calculated based on two guidelines according to adult treatment panel III (ATP III) and international diabetes federation (IDF) methods. For reporting the data, the odds ratio with its 95% confidence interval was used. In order to eliminate the effect of confounders, logistic regression was used. RESULTS: Prevalence of MetS showed a descending trend in women with up to two pregnancies and it reached 22.6% and 22.4% using ATPIII and IDF methods respectively, while with an increase in the number of pregnancies of more than two, MetS prevalence was ascending. The prevalence of MetS did not have any specific trend across various breastfeeding duration groups. Multivariate analysis approved that the odds ratio of developing MetS in comparison with women who had two pregnancies was significantly increasing trend when the pregnancy counts increased. CONCLUSION: The chance of developing MetS based on both IDF and ATP III methods after adjustment for confounding effects would grow with an increase in the number of pregnancies to more than two and breast-feeding of more than seven years. It is recommended that women with more than two pregnancies or the long duration of breast-feeding women undergo a specialized examination to investigate and control MetS problems so that future diseases could be prevented.

Oral contraceptive pill and metabolic syndrome: Fasa Persian Cohort Study (Descriptive study).

BACKGROUND AND AIMS: The contraceptive use is 56% and prevalence of metabolic syndrome (MetS) is 30% in Iran. The aim of this study investigates relationship between oral contraceptive pills (OCP) use and MetS in women in the cohort population of Fasa city. METHODS: In a cross-sectional study, 5489 women aged 35-70 years were studied for 5 years in the Sheshdeh area in 2016. MetS were calculated using adult treatment panel III (ATP III) and international diabetes federation (IDF) methods. The odds ratio (OR) with a 95% confidence interval (CI) was reported. Linear regression was used to eliminate the confounding effect. RESULTS: The OR of developing MetS in the OCP recipients was estimated as higher than the non-recipients. The OR of developing MetS using IDF criteria in OCP recipients was (OR = 0.896,95% CI:0.800-1.004). that increased to (OR = 1.230,95% CI:1.084-1.395) after adjusting for confounding variables. Also, the odds ratio using ATP (III) criteria was (OR = 0.900,95% CI:0.804-1.009). that increased to (OR = 1.245,95% CI:1.098-1.413) after adjusting for confounding variables. Also, the OR of developing MetS in OCP recipients decreased with increasing the number of MetS components from 1.199 to 0.812,95% CI:0.771-1.864,0.467-1.413, but after adjustment, increased from 1.151 to 1.747,95% CI:0.733-1.805,0.815-3.746. CONCLUSION: The results of the present study showed that the OR of developing MetS in OCP recipients using both IDF and ATP (III) methods was higher after adjusting by confounder effects so it is recommended monitoring by physicians.

Dietary pattern in pregnancy and risk of gestational diabetes mellitus (GDM).

AIM: Among the most common metabolic disorders during pregnancy is gestational diabetes mellitus (GDM). This research was conducted to examine the dietary pattern in women with GDM. MATERIAL AND METHODS: In this case-study, 204 pregnant women (104 cases and 100 control women) were chosen through convenient sampling and random sampling. The subjects' food intakes were assessed using semi-quantitative food frequency questionnaire, while their activities evaluated by physical activity questionnaire. Anthropometric indices were measured based on standard instructions, and the body mass index was calculated. The dietary patterns were determined using principal component analysis and its relationship with preeclampsia was tested using logistic regression method. RESULTS: Unhealthy and healthy dietary patterns were found among the pregnant women. In the unhealthy group, after modifying the effect of confounding variables, a significant relationship was observed between dietary pattern and having gestational diabetes (OR = 2.838,95% CI:1.039-7.751). In the healthy group, on the other hand, the people in the fourth quartile had 149% and 184% higher chance not to catch gestational diabetes before and after modification with confounders, respectively (OR = 0.284,95% CI:0.096-0.838), when compared with people in the first quartile. CONCLUSION: The findings indicated that selection of foods including fruits, vegetables, low-fat dairies, etc. as healthy dietary pattern is associated with diminished risk of GDM among pregnant women. Determining healthy dietary pattern during pregnancy, considering the foods consumed among pregnant women, as a useful and practical guide during this period can be publicized for training and nutritional interventions.