فهرست مطالب ar dorosti

Due to the increasing incidence of overweight and obesity among rural children, despite the high prevalence of underweight, identification of dietary patterns and their association with weight status can provide valuable information about health of children. This study was conducted to detect major dietary patterns and their relationship with weight status in school age children in rural areas of Bijar, Iran
In this cross-sectional study, 255 rural school age children living in the rural areas of Bijar were selected by simple random sampling. Dietary intakes during the past year were examined by a semi-quantitative food frequency questionnaire. Assessment of anthropometric indicators, physical activity, and socioeconomic information was performed by standard methods. Dietary patterns were determined using factor analysis, and their relation to weight status of children was investigated.
Three major dietary patterns, "traditional", "modern" and "mixed" were identified. There was no significant adjusted relationship between overweight or obese and identified dietary patterns. After adjustment for age and physical activity, individuals in the highest quartile of the traditional dietary pattern score were more likely to be overweight or obese (OR = 4.33, CI 95%: 1.14 -16.46). More adherence to modern dietary pattern resulted in a significant increase in the odds ratio of severe thinness and thinness (P for trend = 0.04).
Modern and mixed dietary patterns next to the traditional dietary pattern can be found among rural children. While following the traditional dietary pattern probably due to higher energy is associated with an increased risk of obesity, modern dietary pattern leads to thinness in rural areas.

Given that food insecurity can cause developmental, health and nutrition problems, investigate the factors affecting it seems to be necessary in any society. This study aimed to determine the association between food insecurity and socio-economic factors Tehran. This research is a cross-sectional study, which relies on data from valid questionnaire of six-item USDA, answered by 33793 households in 22 regions of Tehran in 2011. Two-level (household, region) hierarchical regression models were initially performed. All variables such as family size, activity status of family head, marital status of household head, wealth index (WI), number of smokers in the household, addiction, diabetics, hypertension, osteoporosis, under 5-year old child and old person in the household are significantly related to FI. It is maybe caused by large sample size therefore, we used logistic regression multilevel to distinguish between statistically significant and important factors. As a result, family size, number of household smokers, diabetic and hypertensive persons, and having under 5-year old child and old person in the household are not important. This research shows that there are important relationship between food insecurity and the variables of activity status of the family head, marital status of the household head, WI, and having addicted and/or osteoporosis persons in the household.