Objectives Several previous studies have stated that consuming certain foods and beverages might increase the risk of chronic kidney disease (CKD). This study aimed to examine the relationships of food and beverage consumption with other risk factors for CKD. Methods: Data sources included the 2018 Basic Health Research (Riskesdas) and the National Socio-Economic Survey (Susenas), which were analyzed using a cross-sectional design. The study samples were households from 34 provinces in Indonesia, and the analysis was performed with provincial aggregates. Data were analyzed using risk factor analysis followed by linear regression to identify relationships with CKD. Results: The prevalence of CKD in Indonesia was 0.38%. The province with the highest prevalence was North Kalimantan (0.64%), while the lowest was found in West Sulawesi (0.18%). Five major groups were formed from 15 identified risk factors using factor analysis. A linear regression model presented 1 significant selected factor (p=0.006, R2 =31%). The final model of risk factors included water quality, consumption of fatty foods, and a history of diabetes. Conclusion: Drinking water quality, fatty food consumption, and diabetes are associated with CKD. There is a need to monitor drinking water, as well as to promote health education and provide comprehensive services for people with diabetes, to prevent CKD.
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<sec>
<title>Objectives</title>
<p>This study aimed to identify differences in drinking norms, heavy drinking, and motives between types of drinkers (abstainers, solitary, and social drinkers) in a representative sample of Korean adults.</p></sec>
<sec>
<title>Methods</title>
<p>An online survey of people registered on the electoral roll were randomly invited to be part of the “National Korean Drinking Culture Study” conducted in 2018 (<italic>n</italic> = 3,015). Participants included 1,532 men and 1,469 women aged 19–60 years. Questions included the number of times they drank in the last month, what they drank, and the volume drank. The amount of pure alcohol consumed was calculated. Drinking norms, motives, and types were determined in the survey questions.</p></sec>
<sec>
<title>Results</title>
<p>Solitary drinkers were more likely to be divorced or separated, less educated, and marginally employed. Solitary drinking peaked in those in their 30s (18.5%) and social drinkers in their 50s (68.1%). Solitary drinkers drank more frequently compared with social drinkers (6.1 vs. 3.6 times per month, <italic>p</italic> < 0.001), and consumed a significantly larger quantity of alcohol (69.5 g vs. 46.8 g per week). Solitary drinkers were more accepting of drinking-related behaviors in diverse situations compared with social drinkers. The regression analysis revealed that personal drinking motives were the most important factor influencing the frequency and quantity of alcohol consumption in both solitary and social drinking.</p></sec>
<sec>
<title>Conclusion</title>
<p>Solitary drinkers may be more vulnerable to alcohol abuse than social drinkers.</p></sec>
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<sec>
<title>Objectives</title>
<p>This study aimed to develop a high-risk drinking scorecard using cross-sectional data from the 2014 Korea Community Health Survey.</p></sec>
<sec>
<title>Methods</title>
<p>Data were collected from records for 149,592 subjects who had participated in the Korea Community Health Survey conducted from 2014. The scorecard model was developed using data mining, a scorecard and points to double the odds approach for weighted multiple logistic regression.</p></sec>
<sec>
<title>Results</title>
<p>This study found that there were many major influencing factors for high-risk drinkers which included gender, age, educational level, occupation, whether they received health check-ups, depressive symptoms, over-moderate physical activity, mental stress, smoking status, obese status, and regular breakfast. Men in their thirties to fifties had a high risk of being a drinker and the risks in office workers and sales workers were high. Those individuals who were current smokers had a higher risk of drinking. In the scorecard results, the highest score range was observed for gender, age, educational level, and smoking status, suggesting that these were the most important risk factors.</p></sec>
<sec>
<title>Conclusion</title>
<p>A credit risk scorecard system can be applied to quantify the scoring method, not only to help the medical service provider to understand the meaning, but also to help the general public to understand the danger of high-risk drinking more easily.</p></sec>
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<sec><title>Objectives</title><p>This study was conducted to compare adolescents’ health behaviors and psychological status according to whether or not their mother was born in Korea.</p></sec><sec><title>Methods</title><p>This secondary analysis used nationally representative data from the 2015 Korean Youth Risk Behavior Web-based Survey. The self-administered questionnaire included computer measured socio-demographic variables, 15 health behaviors, and psychological status. Data from 65,426 middle school and high school students were analyzed. Multiple logistic regression, adjusting for socio-demographic variables, was used to analyze differences in health behaviors and psychological status between adolescents with a foreign-born mother and those with a Korean mother.</p></sec><sec><title>Results</title><p>Adolescents who have foreign-born mothers had a lower level of current drinking and subjective happiness, but a higher stress level.</p></sec><sec><title>Conclusion</title><p>The stress levels of the adolescents with foreign-born mothers could be affected by their multicultural background. It is necessary to analyze stress-influencing factors of multicultural adolescents by comparing them to adolescents from Korean parents. Additionally, our society should pay more attention to the mental health of multicultural adolescents. Schools should also make various efforts to protect multicultural adolescents by adopting mental health management programs led by school nurses and counselors.</p></sec>
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Objectives
The aim of this study was to identify the correlation between adequate water intake and the prevalence of metabolic/heart diseases. Methods
We analyzed the data from the 2012 Korea National Health and Nutrition Examination Survey. All participants were divided into Group Above Adequate Intake (<i>n</i> = 736) and Group Below Adequate Intake (<i>n</i> = 4,819) according to water intake. The thresholds were 1.8 L for men and 1.4 L for women based on the World Health Organization report findings. Logistic regression analyses were performed to verify the correlation between water intake and prevalence of hypertension, diabetes mellitus, dyslipidemia, myocardial infarction, and angina pectoris. Results
There were significant differences between the two groups in terms of the following variables: age, smoking, alcohol, stress, dietary supplements, body weight, physical activity, total calorie intake, water intakes from food, and sodium intake. Participants in Group Above Adequate Intake showed a higher prevalence of hypertension [odds ratio (OR) = 1.22; 95% confidence interval (CI), 0.58–2.55], diabetes mellitus (OR = 1.38; 95% CI, 0.51–3.73), angina pectoris (OR = 0.94; 95% CI, 0.47–1.86), and myocardial infarction (OR = 5.36; 95% CI, 0.67–43.20) than those in Group Below Adequate Intake, whereas the latter showed a slightly higher prevalence of dyslipidemia (OR = 2.25; 95% CI, 0.88–57.84) than the former. Conclusion
There was no statistically significant association between water intake and any of the metabolic/heart diseases. However, further studies on water intake are needed to confirm our findings.
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Objectives
This study was conducted in order to determine any correlation between experience of harmful shops and adolescent smoking and alcohol drinking in middle and high school students. Methods
The survey was conducted using a self-administered questionnaire online via the homepage of the Ministry of Education student Health Information Center; 1888 and 1563 questionnaires were used for middle and high school students, respectively, for a total of 3451 questionnaires in the final analysis. The collected data were processed using SPSS version 21.0 and examined using frequency analysis and hierarchical linear regression. Results
In this research, 8.3% of all participants were found to have experienced smoking and 17.0% alcohol drinking. Regarding the types of harmful shops, 81.8% said they had been to a gaming place; 21.2% to a lodging place; 16.0% to a sex and entertainment place; and 6.8% to a harmful sex industry location. Sociodemographic variables had a significant effect on adolescent smoking and alcohol drinking. Regarding environmental variables, a significant difference was observed for living with parents and school location. Among adolescent experience of harmful shops, both smoking and alcohol drinking showed a significant association with harmful sex industry locations. Conclusion
National government-level management and supervision on this issue will be necessary to prevent adolescent access to harmful shops, along with more studies exploring methods for implementation of policies with more systematic control of harmful shops.
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Objectives
The aim of this study was to identify how the drinking patterns of a generation on the paternal side affect those of the next generations by estimating the number of high-risk drinkers by generation according to the Alcohol Use Disorder Identification Test. Methods
Data were selected from the 2009 Korea National Health and Nutrition Examination Survey conducted by the Korea Centers for Disease Control and Prevention and were analyzed using SPSS 18.0. Results
Later generations started drinking earlier (62.4%, 71.8% and 91.1%, respectively). The majority of the second generation consumed more than 2–4 drinks a month (83.7%), but only a small proportion experienced difficulty in everyday life (9.6%), felt repentance (9.6%), or experienced memory loss (17.9%) after drinking. Unmarried third-generation adults with high-risk-drinking fathers reported more frequent alcohol consumption [odds ratio (OR) 1.441), greater amounts on one occasion (>7 cups for men, OR 1.661; > 5 cups for women, OR 2.078), temperance failure (OR 2.377), and repentance after drinking (OR 1.577). Unmarried third-generation adults with high-risk-drinking grandfathers consumed greater amounts of alcohol on one occasion (OR 3.642), and unmarried third-generation women more frequently consumed large amounts of alcohol (>5 cups, OR 4.091). Unmarried third-generation adults with high-risk-drinking fathers were more likely to exhibit high-risk drinking patterns (OR 1.608). Second-generation individuals from a high-risk-drinking first generation were more likely to engage in high-risk drinking (OR 3.705). Conclusion
High-risk drinking by a generation significantly affects the high-risk drinking patterns of subsequent generations.
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