Korean J Community Nutr.  2018 Aug;23(4):277-288. 10.5720/kjcn.2018.23.4.277.

Field Application and Evaluation of Health Status Assessment Tool based on Dietary Patterns for Middle-Aged Women

  • 1Department of Food and Nutrition, Changwon National University, Gyeongnam, Korea. khl@changwon.ac.kr


This study was performed to verify the validity and judgment criteria setting of a health status assessment tool based on dietary patterns for middle-aged women.
A total of 474 middle-aged women who visited the Comprehensive Medical Examination Center at Hanmaeum Hospital in Changwon were enrolled (IRB 2013-0005). The validity was verified using clinical indicators for the diagnosis of metabolic syndrome (MS), and it was used to set the criteria for the tool. A logistic regression analysis was performed for validation. The area under-receiver operation (AUC), sensitivity, specificity, and Youden Index were calculated through ROC curve analysis. Statistical analysis was performed by SPSS 21, and p value < 0.05 was considered to be statistically significant.
The mean score of the group with no MS (73.3 points) was significantly higher compared to the group with MS (65.7 points) (p < 0.001). An analysis of the association between the tool scores and risk of MS showed a 0.15-fold reduction in the risk of MS every time the tool's score increased by one point. As the result of the ROC curve analysis, the assessment reference point was set to 71 points, indicating 77.0% sensitivity and 61.0% specificity. Risk of MS was significantly higher in the group with a score of less than 71.0 than a group with more than 71 points (OR=5.28, p < 0.001).
This study was the first attempt to develop a health status assessment tool based on the dietary patterns for middle-aged women, and this tool has proven its usefulness as an MS assessment tool through the application of middle-aged women in the field of health screening.


health status assessment tool; dietary patterns; middle-aged women; women's health; metabolic syndrome
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