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Abstract Background No studies have been carried out so far to cover the association between factors related to obesity, in a representative sample of the Iranian elderly population. Methods The data in this investigation were taken from the National Health Survey in Iran, which included 4380 people aged 60 and older. The logistic regression was applied to model the relationship between the odds of obesity and age, sex, education level, place of residence, smoking and marital status. Results Obesity odds ratios were 1.96 (95% CI: 1.53--2.52) for women, 2.16 (95% CI: 1.71--2.72) for the subjects living in urban areas and 0.68 (95% CI: 0.47--0.97) for smokers. Regarding the people aged 60-64 years as the reference group, the obesity odds ratios were 0.86 (95% CI: 0.66--1.10) for ages 65-69 years, 0.75 (95% CI: 0.57--0.97) for ages 70-74 years, 0.43 (95% CI: 0.30--0.60) for ages 75-79 years and 0.36 (95% CI: 0.20--0.63) for ages 80+ years. Using the basic education level as the reference group, obesity odds ratios were 1.38 (95% CI: 1.08-1.76) for the moderate level and 0.92 (95% CI: 0.56- 1.52) for the high level group. Conclusions As the result of findings, we are optimistic that we would be able to contribute to the aged community of the society, which could be achieved by means of better treatments and reductions in the rate of obesity.

Abstract Background The practice of dichotomizing a continuous outcome variable does not make use of within-category information. That means the loss of information. This study compared two approaches in the modelling of the association between sociodemographic and smoking with obesity in adult women in Iran. Methods We conducted a comparative study between two methods via an illustrative example, using data from the "National Health Survey in Iran (NHSI)" database. It included 14176 women aged 20–69 years. At first, body mass index(BMI) was treated as a continuous variable, ORs and 95 per cent confidence intervals were calculated using the "without dichotomizing" method. Then subjects were classified into obese (BMI ≥ 30 kg/m2) and nonobese (BMI < 30 kg/m2) and logistic regression model was used to estimate ORs and 95 per cent confidence intervals. Results The odds ratio estimates changed only slightly over the two methods. But the "without dichotomizing" method provided shorter confidence intervals on the odds ratio parameters than dichotomizing method. All relative confidence interval lengths were greater than 1.15. Conclusion If responses are continuous then the "without dichotomizing" method is certainly more useful than the "dichotomizing" method and leads to more precise estimation of odds ratios.

Abstract Background To date, few studies have assessed the association between the number of children and obesity in couples. We aimed to investigate this association in men and women aged 20–75 years. Methods Data from the National Health Survey were considered in this investigation. It included 2728 women and men (1364 couples) aged 20–75 years. Height and weight were actually measured rather than self-reported. A generalized estimating equation model was used to estimate the odds of obesity (body mass index (BMI ≥ 30)) as a function of the number of children adjusted for age, sex, education, economic index, workforce, smoking and place of residence. Results We infer that each additional child has at least 5% and at most 34% increase in the odds of obesity in men and at least 4% and at most 29% increase in the odds of obesity in women. Our test of interaction by sex showed that the association between the number of children and obesity was not different among men and women. Among women, factors that increased obesity included age, low education, having more children, being inactive workforce and being nonsmoker. Among men, these factors included high economic index, low education, having more children, and being nonsmoker. Conclusion Our results show an association between the number of children and obesity among men. We would recommend interventions to reduce the number of children to prevent obesity in men.