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1.
Korean Journal of Community Nutrition ; : 48-60, 2020.
Article in Korean | WPRIM | ID: wpr-811373

ABSTRACT

OBJECTIVES: Most cohort studies used food frequency questionnaires (FFQ) to evaluate coffee consumption as it assesses habitual dietary patterns, whereas some studies have used the 24-hour recalls (24HR) as it elicits in-depth description of foods and the amount eaten. The aim of this study was to compare FFQs and 24HR to assess the consumption of various types of coffee.METHODS: We included 25,904 participants aged 40 years or older from the Health Examinees (HEXA) Study of the Korean Genome and Epidemiologic Study (KoGES). Each participant completed one FFQ and one-day (n=11,280) or two-day 24HR (n=14,624). We classified coffee types into: black coffee, coffee with sugar and cream, and coffee with sugar alone or cream alone. We compared the proportions of nondrinkers, black coffee, and coffee with sugar and cream through FFQ and 24HR.RESULTS: Among those who completed one FFQ and one-day 24HR, 39.4% of “nondrinkers” on one-day 24HR reported that they did not drink coffee on their FFQs. Whereas among those who complete two-day 24HR, 71.2% of “nondrinkers” on two-day 24HR said that they did not drink coffee on their FFQs. Among those who completed one FFQ and oneday 24HR, 58.3% marked “black coffee” on one-day 24HR said that they drank black coffee on their FFQs. Among those who complete two-day 24HR, 58.8% marked “black coffee” on two-day 24HR said that they drank black coffee on their FFQs. The kappa coefficients and percent agreements were 0.4 and 59.6%, respectively, for the comparison of coffee intake between FFQ and one-day 24HR, and 0.6 and 72.8%, respectively, for the comparison of coffee intake between FFQ and two-day 24HR.CONCLUSIONS: We found discrepancies between FFQs and 24HR in the types of coffee consumed. Such limitations should be considered when using the 24HR data to examine the effect of coffee consumption on disease development.


Subject(s)
Coffee , Cohort Studies , Epidemiologic Studies , Genome
2.
Journal of Preventive Medicine and Public Health ; : 287-300, 2015.
Article in English | WPRIM | ID: wpr-157186

ABSTRACT

OBJECTIVES: Self-rated health is a measure of perceived health widely used in epidemiological studies. Our study investigated the determinants of poor self-rated health in middle-aged Korean adults with diabetes. METHODS: A cross-sectional study was conducted based on the Health Examinees Study. A total of 9759 adults aged 40 to 69 years who reported having physician-diagnosed diabetes were analyzed with regard to a range of health determinants, including sociodemographic, lifestyle, psychosocial, and physical variables, in association with self-rated health status using multivariate logistic regression models. A p-value <0.05 was considered to indicate statistical significance. RESULTS: We found that negative psychosocial conditions, including frequent stress events and severe distress according to the psychosocial well-being index, were most strongly associated with poor self-rated health (odds ratio [OR](Frequent stress events), 5.40; 95% confidence interval [CI], 4.63 to 6.29; OR(Severe distress), 11.08; 95% CI, 8.77 to 14.00). Moreover, younger age and being underweight or obese were shown to be associated with poor self-rated health. Physical factors relating to participants' medical history of diabetes, such as a younger age at diagnosis, a longer duration of diabetes, insulin therapy, hemoglobin A(1c) levels of 6.5% or more, and comorbidities, were other correlates of poor reported health. CONCLUSIONS: Our findings suggest that, in addition to medical variables, unfavorable socioeconomic factors, and adverse lifestyle behaviors, younger age, being underweight or obese, and psychosocial stress could be distinc factors in predicting negative perceived health status in Korean adults with diabetes.


Subject(s)
Adult , Aged , Female , Humans , Male , Middle Aged , Age Factors , Cohort Studies , Cross-Sectional Studies , Diabetes Mellitus/diagnosis , Health Status , Glycated Hemoglobin , Insulin/therapeutic use , Life Style , Logistic Models , Odds Ratio , Self Report , Socioeconomic Factors , Surveys and Questionnaires
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