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Introduction: One of the basic needs of human is sleep. Research has shown that poor quality of sleep is the 3rd problem in the elderly people, being one of their most common complaints and reason to refer to doctors. The objective of this survey is to study the frequency of sleep disorder and how to deal with it. Materials and Methods: This cross-sectional study was conducted on 360 people aged 60 or older, using a self-made structured questionnaire and interview. The data entered into SPSS, version 11.5. Descriptive and analytical statistics such as Chi square and Fisher exact tests were used to analyze the data. Results: In this survey, the mean age of the subjects was 67.7±7.33; 70.3% suffered sleep disorder and 81.81% of them had primary insomnia. Sleep disorder showed a significant relationship whit marital status, gender, residency, education and employment. In this survey, 94.5% (239 men) that had sleep disorder used at least one of the non- pharmacological methods and7.5 percent of them used pharmacological methods to cope with sleep disorders. Conclusion: Considering the fact that most of the elderly people used one of the non-pharmacological methods to cope with sleep disorders but still the prevalence of sleep disorders is high, we can conclude that it can be the result of their inappropriate use. Therefore, we recommend that the health care staff should focus on educating the elderly people on how to use the non-pharmacological methods. [ABSTRACT FROM AUTHOR]

Introduction: Growth curve is a simple and inexpensive means used for evaluation of children’s health and nutrition, and growth. There was an attempt in this study to find the relationship between children’s growth and the factors affecting it using growth curves. Materials and Methods: This study was analytical. According to other studies and the prevalence of 54% of children under the fiftieth percentile, the sample size was determined 385and the children were below 6 years of age. Chi-square test was used to examine the existence of an index such as malnutrition and its relationship with maternal milk, formula and other factors. Growth and its relation to other factors were determined by the Linear Mixed Model. Results: This study revealed that 63.6% of children who were breastfed had educated fathers, while 38.6% of those who were breastfed had fathers with primary education. This difference was statistically significant. 62.1% of mothers with primary and 39.8% with university education breastfed their baby; the difference was also statistically significant. Maternal job was significantly associated with birth weight (P<0.01). The process of child’s weight gain showed no correlation with nutritional status whereas it showed a relationship with weaning. So, the children were weaned earlier had a lower rate of weight gain. Conclusion: This study showed that parental education and awareness play an important role in children's growth. Although there was no relationship between weaning and the parents’ education, both factors were separately influential on the growth of the children. The mothers’ education was especially important in this regard. [ABSTRACT FROM AUTHOR]