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[English]

This study was conducted to analyze diet and health-related factors based on the income level of single-adult households using data from the Korea National Health and Nutrition Survey (KNHANES). Among those who participated in the 2016–2018 KNHANES, 951 single-adult households aged 19 to 64 were selected, and factors such as general characteristics, physical characteristics, dietary behaviors, health behaviors, and the prevalence of chronic diseases were analyzed. The high-income group had higher frequency of eating out, better dietary status generally, higher recognition rate of nutrition labels than the other groups. The rate of alcohol consumption and smoking was higher in the high-income group of single-adult households, while the rates of anxiety and depression were higher in the low-income group. Additionally, the use of dietary supplements decreased as income level decreased. Among chronic diseases, hypertension, diabetes, and dyslipidemia had the lowest prevalence in the middle-income group and the highest prevalence in the low-income group. These results suggest that diet and health behaviors vary by income level in single-adult households and may be associated with the prevalence of chronic diseases. Future systematic studies should be conducted to determine the causal relationships between these factors.

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[English]
Comparison of 3 Nutritional Questionnaires to Determine Energy Intake Accuracy in Iranian Adults
Shima Moradi, Yahya Pasdar, Behrooz Hamzeh, Farid Najafi, Seyed Mostafa Nachvak, Roghayeh Mostafai, Parisa Niazi, Mansour Rezaei
Clin Nutr Res 2018;7(3):213-222.   Published online July 30, 2018
DOI: https://doi.org/10.7762/cnr.2018.7.3.213

A precision instrument is required to assess the nutritional status. This study was conducted on comparison of 3 nutritional questionnaires to determine energy intake (EI) accuracy in adults in Ravansar Non-Communicable Chronic Disease (RaNCD) cohort study. This cross-sectional study was conducted on 118 of participant's RaNCD. EI was evaluated with 3 questionnaires including food frequency questionnaire (FFQ), 24-hours recall (24HR), and food habits questionnaire (FHQ). Resting metabolic rate (RMR) was measured using indirect calorimetry. We used EI/RMR cut off to evaluate EI reporting status. The mean ± standard deviation of age in men and women were 44.1 ± 6.5 and 43.7 ± 5.25 respectively and 50.8% of participants were men. Among 3 EI estimating questionnaires, FFQ was more accurate than 2 other questionnaires (67.8%). We observed that implausible reporters of 24HR were likely overweight (p < 0.005) but we did not observe a significant difference between EI reporting of FFQ and FHQ with participants' body composition. Our finding showed that EI underreporting of 24HR and FHQ were high. Under reporters were seemed to be overweight. Therefore, these results suggested that among 3 nutritional questionnaires the FFQ was an appropriate approach to determine EI in this population due to plausible EI reporting was higher than 2 other nutritional questionnaires (24HR and FHQ).

Citations

Citations to this article as recorded by  
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