The purpose of this study was to investigate the relationships among smartphone addiction, communication ability, loneliness, and interpersonal relationships in university students in Korea. Between 15 and 31 May 2016, 263 subjects completed a questionnaire consisting of questions on smartphone addiction, communication ability, loneliness, and health of interpersonal relationships. Among smartphone addiction questions there were significant differences between genders (t = 2.350, p = 0.019) and educational grade (F = 3.313, p = 0.021). With regard to human relationship health, the scores for males were significantly higher than those for females (t = 2.337, p = 0.020). The smartphone addiction and human relationship health results were negatively correlated (r = ?0.157, p = 0.011). In contrast, communication ability and human relationship health results were positively correlated (r = 0.581, p < 0.001). However, loneliness and human relationship health were not significantly correlated. The final multiple regression model explaining human relationship health included smartphone addiction (t = 2.753, p = 0.006), communication ability (t = 11.714, p < 0.001), and motivation for smartphone purchase (t = 2.125, p = 0.035) as independent factors. The final model explained 36.6% of the total variance. In order to improve university students' human relationship health, solutions for smartphone addiction and low communication skills are required. This results of this study can be used as a basis on which to develop a human relationship health intervention program.
Among older women of predominantly Chinese ethnicity, integrated test is a favorite alternative to FTS. Their choice of DS screening test can be predicted by their obstetric and socioeconomic characteristics. Many women show willingness to pay for a test with a lower false-positive rate.
Background:To develop a breast cancer prediction model for Korean women using published polygenic risk scores (PRSs) combined with non-genetic risk factors (NGRFs). Methods:Thirteen PRS models generated from single or multiple combinations of the Asian and European PRSs were evaluated among 20,434 Korean women. The area under the curve (AUC) and increase in odds ratio (OR) per standard deviation (SD) were compared for each PRS. The PRSs with the highest predictive power were combined with NGRFs; then, an integrated prediction model was established using the iCARE tool. The absolute breast cancer risk was stratified for 18,142 women with available follow-up data. Results:PRS38_ASN+PRS190_EB, a combination of Asian and European PRSs, had the highest AUC (0.621) among PRSs, with an OR per SD increase of 1.45 (95% CI: 1.31-1.61). Compared with the average risk group (35-65%), women in the top 5% had a 2.5-fold higher risk of breast cancer. Incorporating NGRFs yielded a modest increase in the AUC of women aged >50 years. For PRS38_ASN+PRS190_EB+NGRF, the average absolute risk was 5.06%. The lifetime absolute risk at age 80 years for women in the top 5% was 9.93%, whereas that of women in the lowest 5% was 2.22%. Women at higher risks were more sensitive to NGRF incorporation. Conclusions:Combined Asian and European PRSs were predictive of breast cancer in Korean women. Our findings support the use of these models for personalized screening and prevention of breast cancer. Impact:Our study provides insights into genetic susceptibility and NGRFs for predicting breast cancer in Korean women.
<div>AbstractBackground:<p>To develop a breast cancer prediction model for Korean women using published polygenic risk scores (PRS) combined with nongenetic risk factors (NGRF).</p>Methods:<p>Thirteen PRS models generated from single or multiple combinations of the Asian and European PRSs were evaluated among 20,434 Korean women. The AUC and increase in OR per SD were compared for each PRS. The PRSs with the highest predictive power were combined with NGRFs; then, an integrated prediction model was established using the Individualized Coherent Absolute Risk Estimation (iCARE) tool. The absolute breast cancer risk was stratified for 18,142 women with available follow-up data.</p>Results:<p>PRS<sub>38_ASN</sub>+PRS<sub>190_EB</sub>, a combination of Asian and European PRSs, had the highest AUC (0.621) among PRSs, with an OR per SD increase of 1.45 (95% confidence interval: 1.31–1.61). Compared with the average risk group (35%–65%), women in the top 5% had a 2.5-fold higher risk of breast cancer. Incorporating NGRFs yielded a modest increase in the AUC of women ages >50 years. For PRS<sub>38_ASN</sub>+PRS<sub>190_EB</sub>+NGRF, the average absolute risk was 5.06%. The lifetime absolute risk at age 80 years for women in the top 5% was 9.93%, whereas that of women in the lowest 5% was 2.22%. Women at higher risks were more sensitive to NGRF incorporation.</p>Conclusions:<p>Combined Asian and European PRSs were predictive of breast cancer in Korean women. Our findings support the use of these models for personalized screening and prevention of breast cancer.</p>Impact:<p>Our study provides insights into genetic susceptibility and NGRFs for predicting breast cancer in Korean women.</p></div>
<p>The absolute risk of developing breast cancer was estimated using data from 20,434 Korean women. The absolute risk of breast cancer was estimated by PRS38_ASN+PRS190_EB for women in different percentiles and age categories. The dotted lines represent the average risks. (A) Lifetime absolute risk (B) 5-year absolute risk</p>
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