Background: We investigated whether nutritional intake is associated with physical activity (PA) and handgrip strength (HGS) in individuals with airflow limitation. Methods: This study analyzed data from the 2014 and 2016 Korean National Health and Nutrition Examination Survey. We assessed total protein intake (g/day), caloric intake (kcal/day), and other nutritional intakes, using a 24-hour dietary recall questionnaire. HGS was measured three times for each hand using a digital grip strength dynamometer, and PA was assessed as health-enhancing PA. Airflow limitation was defined as a forced expiratory volume/forced vital capacity ratio of 0.7 in individuals over 40 years of age. Participants were categorized into groups based on their PA levels and HGS measurements: active aerobic PA vs. non-active aerobic PA, and normal HGS vs. low HGS. Results: Among the 622 individuals with airflow limitation, those involved in active aerobic PA and those with higher HGS had notably higher total food, calorie, water, protein, and lipid intake. The correlations between protein and caloric intake with HGS were strong (correlation coefficients=0.344 and 0.346, respectively). The forest plots show that higher intakes of food, water, calories, protein, and lipids are positively associated with active aerobic PA, while higher intakes of these nutrients are inversely associated with low HGS. However, in the multivariate logistic regression analysis, no significant associations were observed between nutritional intake and active aerobic PA or HGS. Conclusion Nutritional intake was found to not be an independent factor associated with PA and HGS. However, the observed correlations suggest potential indirect effects that warrant further investigation.

Background: We investigated whether nutritional intake is associated with physical activity (PA) and handgrip strength (HGS) in individuals with airflow limitation. Methods: This study analyzed data from the 2014 and 2016 Korean National Health and Nutrition Examination Survey. We assessed total protein intake (g/day), caloric intake (kcal/day), and other nutritional intakes, using a 24-hour dietary recall questionnaire. HGS was measured three times for each hand using a digital grip strength dynamometer, and PA was assessed as health-enhancing PA. Airflow limitation was defined as a forced expiratory volume/forced vital capacity ratio of 0.7 in individuals over 40 years of age. Participants were categorized into groups based on their PA levels and HGS measurements: active aerobic PA vs. non-active aerobic PA, and normal HGS vs. low HGS. Results: Among the 622 individuals with airflow limitation, those involved in active aerobic PA and those with higher HGS had notably higher total food, calorie, water, protein, and lipid intake. The correlations between protein and caloric intake with HGS were strong (correlation coefficients=0.344 and 0.346, respectively). The forest plots show that higher intakes of food, water, calories, protein, and lipids are positively associated with active aerobic PA, while higher intakes of these nutrients are inversely associated with low HGS. However, in the multivariate logistic regression analysis, no significant associations were observed between nutritional intake and active aerobic PA or HGS. Conclusion Nutritional intake was found to not be an independent factor associated with PA and HGS. However, the observed correlations suggest potential indirect effects that warrant further investigation.

Background: We investigated whether nutritional intake is associated with physical activity (PA) and handgrip strength (HGS) in individuals with airflow limitation. Methods: This study analyzed data from the 2014 and 2016 Korean National Health and Nutrition Examination Survey. We assessed total protein intake (g/day), caloric intake (kcal/day), and other nutritional intakes, using a 24-hour dietary recall questionnaire. HGS was measured three times for each hand using a digital grip strength dynamometer, and PA was assessed as health-enhancing PA. Airflow limitation was defined as a forced expiratory volume/forced vital capacity ratio of 0.7 in individuals over 40 years of age. Participants were categorized into groups based on their PA levels and HGS measurements: active aerobic PA vs. non-active aerobic PA, and normal HGS vs. low HGS. Results: Among the 622 individuals with airflow limitation, those involved in active aerobic PA and those with higher HGS had notably higher total food, calorie, water, protein, and lipid intake. The correlations between protein and caloric intake with HGS were strong (correlation coefficients=0.344 and 0.346, respectively). The forest plots show that higher intakes of food, water, calories, protein, and lipids are positively associated with active aerobic PA, while higher intakes of these nutrients are inversely associated with low HGS. However, in the multivariate logistic regression analysis, no significant associations were observed between nutritional intake and active aerobic PA or HGS. Conclusion Nutritional intake was found to not be an independent factor associated with PA and HGS. However, the observed correlations suggest potential indirect effects that warrant further investigation.

Purpose: This study aimed to develop a no-contact health promotion behavior program for nursing students as representatives of young adults and to evaluate its effects and applicability. Methods: We employed a one-group pretest/posttest design to develop a no-contact health promotion behavior program for young adults and to assess its impacts on post-pandemic health promotion behavior, health self-efficacy, depression, and stress among nursing students. Using an online ad, we recruited young adults aged 19 to 29 living in South Korea who were attending nursing school; those who provided informed consent to participate in the study were enrolled. Results: The no-contact health promotion behavior program was effective at improving health promotion behavior (Z=-2.90, p=.004) and health self-efficacy (Z=-2.24, p=.025) and at alleviating depression (Z=-2.13, p=.033). Conclusion This study confirmed the potential of a no-contact program to advance health management among young adults. It also substantiated the program’s effects on fostering experiences and promoting personal health among nursing students, who are prospective healthcare professionals.

Purpose: This study investigated the effect of practice of donning and doffing level D personal protective equipment (PPE) based on augmented reality (AR) on the knowledge and performance confidence, practical immersion, practical satisfaction, and practical experience of nursing students. Methods: This mixed-method study included 28 participants in the experimental group and 28 in the control group in C city. The intervention in the experimental group was practice of donning and doffing level D PPE based on AR and the control group received video-based training. Quantitative data were analyzed using the IBM SPSS program, and qualitative data were subjected to content analysis. Results: There were significant differences in performance confidence (t=3.17, p=.002) and practice satisfaction (z=-2.13, p=.033), but not in knowledge (z=-0.90, p=.366) and practice immersion (t=1.71, p=.093) regarding PPE. In the experience of nursing students who participated in AR-based practice, the facilitating factors were “good concentration in practice,” “can use the technology accurately,” “the skills remain in memory for a long time,” and “the practice was interesting and fun.” The obstacles to AR-based practice were “using smart glasses to watch AR content was uncomfortable” and “it was difficult to adapt to AR-based content.” Conclusion Based on the results of this study, we suggest applying AR-based practice in practical education to increase nursing students' performance confidence and practice satisfaction.

Purpose: This study aimed to develop a no-contact health promotion behavior program for nursing students as representatives of young adults and to evaluate its effects and applicability. Methods: We employed a one-group pretest/posttest design to develop a no-contact health promotion behavior program for young adults and to assess its impacts on post-pandemic health promotion behavior, health self-efficacy, depression, and stress among nursing students. Using an online ad, we recruited young adults aged 19 to 29 living in South Korea who were attending nursing school; those who provided informed consent to participate in the study were enrolled. Results: The no-contact health promotion behavior program was effective at improving health promotion behavior (Z=-2.90, p=.004) and health self-efficacy (Z=-2.24, p=.025) and at alleviating depression (Z=-2.13, p=.033). Conclusion This study confirmed the potential of a no-contact program to advance health management among young adults. It also substantiated the program’s effects on fostering experiences and promoting personal health among nursing students, who are prospective healthcare professionals.

Purpose: This study investigated the effect of practice of donning and doffing level D personal protective equipment (PPE) based on augmented reality (AR) on the knowledge and performance confidence, practical immersion, practical satisfaction, and practical experience of nursing students. Methods: This mixed-method study included 28 participants in the experimental group and 28 in the control group in C city. The intervention in the experimental group was practice of donning and doffing level D PPE based on AR and the control group received video-based training. Quantitative data were analyzed using the IBM SPSS program, and qualitative data were subjected to content analysis. Results: There were significant differences in performance confidence (t=3.17, p=.002) and practice satisfaction (z=-2.13, p=.033), but not in knowledge (z=-0.90, p=.366) and practice immersion (t=1.71, p=.093) regarding PPE. In the experience of nursing students who participated in AR-based practice, the facilitating factors were “good concentration in practice,” “can use the technology accurately,” “the skills remain in memory for a long time,” and “the practice was interesting and fun.” The obstacles to AR-based practice were “using smart glasses to watch AR content was uncomfortable” and “it was difficult to adapt to AR-based content.” Conclusion Based on the results of this study, we suggest applying AR-based practice in practical education to increase nursing students' performance confidence and practice satisfaction.

Background: We investigated whether nutritional intake is associated with physical activity (PA) and handgrip strength (HGS) in individuals with airflow limitation. Methods: This study analyzed data from the 2014 and 2016 Korean National Health and Nutrition Examination Survey. We assessed total protein intake (g/day), caloric intake (kcal/day), and other nutritional intakes, using a 24-hour dietary recall questionnaire. HGS was measured three times for each hand using a digital grip strength dynamometer, and PA was assessed as health-enhancing PA. Airflow limitation was defined as a forced expiratory volume/forced vital capacity ratio of 0.7 in individuals over 40 years of age. Participants were categorized into groups based on their PA levels and HGS measurements: active aerobic PA vs. non-active aerobic PA, and normal HGS vs. low HGS. Results: Among the 622 individuals with airflow limitation, those involved in active aerobic PA and those with higher HGS had notably higher total food, calorie, water, protein, and lipid intake. The correlations between protein and caloric intake with HGS were strong (correlation coefficients=0.344 and 0.346, respectively). The forest plots show that higher intakes of food, water, calories, protein, and lipids are positively associated with active aerobic PA, while higher intakes of these nutrients are inversely associated with low HGS. However, in the multivariate logistic regression analysis, no significant associations were observed between nutritional intake and active aerobic PA or HGS. Conclusion Nutritional intake was found to not be an independent factor associated with PA and HGS. However, the observed correlations suggest potential indirect effects that warrant further investigation.

Purpose: This study aimed to develop a no-contact health promotion behavior program for nursing students as representatives of young adults and to evaluate its effects and applicability. Methods: We employed a one-group pretest/posttest design to develop a no-contact health promotion behavior program for young adults and to assess its impacts on post-pandemic health promotion behavior, health self-efficacy, depression, and stress among nursing students. Using an online ad, we recruited young adults aged 19 to 29 living in South Korea who were attending nursing school; those who provided informed consent to participate in the study were enrolled. Results: The no-contact health promotion behavior program was effective at improving health promotion behavior (Z=-2.90, p=.004) and health self-efficacy (Z=-2.24, p=.025) and at alleviating depression (Z=-2.13, p=.033). Conclusion This study confirmed the potential of a no-contact program to advance health management among young adults. It also substantiated the program’s effects on fostering experiences and promoting personal health among nursing students, who are prospective healthcare professionals.

Purpose: This study investigated the effect of practice of donning and doffing level D personal protective equipment (PPE) based on augmented reality (AR) on the knowledge and performance confidence, practical immersion, practical satisfaction, and practical experience of nursing students. Methods: This mixed-method study included 28 participants in the experimental group and 28 in the control group in C city. The intervention in the experimental group was practice of donning and doffing level D PPE based on AR and the control group received video-based training. Quantitative data were analyzed using the IBM SPSS program, and qualitative data were subjected to content analysis. Results: There were significant differences in performance confidence (t=3.17, p=.002) and practice satisfaction (z=-2.13, p=.033), but not in knowledge (z=-0.90, p=.366) and practice immersion (t=1.71, p=.093) regarding PPE. In the experience of nursing students who participated in AR-based practice, the facilitating factors were “good concentration in practice,” “can use the technology accurately,” “the skills remain in memory for a long time,” and “the practice was interesting and fun.” The obstacles to AR-based practice were “using smart glasses to watch AR content was uncomfortable” and “it was difficult to adapt to AR-based content.” Conclusion Based on the results of this study, we suggest applying AR-based practice in practical education to increase nursing students' performance confidence and practice satisfaction.