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4 "신체활동"
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Original Articles
Factors Affecting Smartphone Overdependence among Older Adults
Ji-Eun Park, Nayoon Lee
STRESS. 2022;30(1):37-44.   Published online March 31, 2022
DOI: https://doi.org/10.17547/kjsr.2022.30.1.37
  • 3,190 View
  • 144 Download
Abstract PDF
Background
This study aimed to identify the factors affecting smartphone overdependence among older adults.
Methods
A cross-sectional descriptive study was conducted with 179 older adults using smartphones in B metropolitan city. A multiple regression analysis was performed to identify the effect of physical activity, social support, and depression on smartphone overdependence.
Results
Factors that affect smartphone overdependence among the participants were as follows: (a) purpose of using smartphone (β=.23, p=.001), (b) age (β=.23, p=.002), (c) smartphone use time (β=.20, p=.004), (d) educational level (β=−.15, p=.027), and (e) social support (β=−.14, p=.048). The model explained for 19.0% (F=9.30, p<.001).
Conclusions
The findings of this study can be used as evidence to develop intervention programs and policy measures to prevent and manage smartphone overdependence, which has negative effects on the physical and mental health of older adults.
Association between Physical Activity and Perceived Stress among Korean Adults: A Cross-Sectional Study Using 2017 the Korea National Health and Nutrition Examination Survey Data
Jaeheon Heo
STRESS. 2019;27(4):313-319.   Published online December 31, 2019
DOI: https://doi.org/10.17547/kjsr.2019.27.4.313
  • 5,045 View
  • 222 Download
  • 7 Citations
Abstract PDF
Background:

The purpose of this study was to explore the association between the high perceived stress of adults and the types and amounts of their physical activities.

Methods:

The subjects consisted of 5,624 adults aged 20 and older from the 2017 Korean National Health and Nutrition Examination Survey data. The three types of physical activity (aerobic activity, muscular exercise and walking) were investigated and the amounts of physical activity were calculated with time used in each activity were calculated. To examine the association between the high perceived stress and physical activity, complex samples multiple logistic regression analyses were performed with controlling participants’ demographic and socio-economic, health status and health behavior characteristics.

Results:

There were 1,539 people (27.36%) in the high stress perceived group, and the subjects in the high stress perceived group seemed to perform less time to walking (weighted mean: 217.23 minutes/ week) than the low or not stress perceived group (weighted mean: 241.09 minutes/week). The proportion of subjects doing muscular exercise 3 or more days in a week seemed to higher in the lower stress perceived group than the high stress perceived group. The multiple logistic regression analyses results showed significant correlations between walking or doing muscular exercise and high-perceived stress (p<0.01). Additionally, the proportion of activity at work seemed to be a significant factor in the perceived stress level.

Conclusions:

There appears to be a correlation between physical activity especially muscular activity and perceived stress, such that further studies will lead to improvements in stress management strategies.

Citations

Citations to this article as recorded by  
  • Effectiveness of internet-based cognitive behavioral therapy in reducing suicidality among high-risk patients with depression: A multicenter randomized controlled trial in Korea
    Jeong Hun Yang, C. Hyung Keun Park, Sang Jin Rhee, Dae Hun Kang, Sang Yeol Lee, Chan-Mo Yang, Se-Hoon Shim, Jung-Joon Moon, Seong-Jin Cho, Hyunju Lee, Yong Min Ahn
    Journal of Psychiatric Research.2025; 181: 640.     CrossRef
  • Impact of Dietary Habits, Physical Activity, and Perceived Health Status on Health‐Related Quality of Life by Household Characteristics of Patients With Chronic Diseases: The Korea Community Health Survey (KCHS)
    Soyean Kang, Hae Sagong, Juyoung Lee
    Public Health Nursing.2025; 42(3): 1182.     CrossRef
  • Development and validation of short-term, medium-term, and long-term suicide attempt prediction models based on a prospective cohort in Korea
    Jeong Hun Yang, Ri-Ra Kang, Dae Hun Kang, Yong-gyom Kim, Jieun Yoo, C. Hyung Keun Park, Sang Jin Rhee, Min Ji Kim, Sang Yeol Lee, Chan-Mo Yang, Se-Hoon Shim, Jung-Joon Moon, Seong-Jin Cho, Shin Gyeom Kim, Min-Hyuk Kim, Jinhee Lee, Won Sub Kang, Weon-Young
    Asian Journal of Psychiatry.2025; 106: 104407.     CrossRef
  • Characteristics of High-Risk Groups for Suicide in Korea Before and After the COVID-19 Pandemic: K-COMPASS Cohort Study
    Jeong Hun Yang, Dae Hun Kang, C. Hyung Keun Park, Min Ji Kim, Sang Jin Rhee, Min-Hyuk Kim, Jinhee Lee, Sang Yeol Lee, Won Sub Kang, Seong-Jin Cho, Shin Gyeom Kim, Se-Hoon Shim, Jung-Joon Moon, Jieun Yoo, Weon-Young Lee, Yong Min Ahn
    Journal of Korean Neuropsychiatric Association.2024; 63(4): 246.     CrossRef
  • Relationships among the Degree of Participation in Physical Activity, Self-Concept Clarity, and COVID-19 Stress in Adolescents
    Dae-Jung Lee
    Healthcare.2021; 9(4): 482.     CrossRef
  • Association between Physical Activity Types and Mental Health in Korean Adults: Korea National Health and Nutrition Examination Survey, 2014–2018
    Hak Kyun Kim, Yeon Soo Kim, Hoyong Sung, Jungjoon Lim, Joonsik Kim, Harim Choi
    The Korean Journal of Sports Medicine.2021; 39(4): 181.     CrossRef
  • The Study of Dietary Habits and Health Behaviors according to Physical Activity Type in Korean Adults: Based on the 2016~2018 Korea National Health and Nutrition Examination Survey
    Jin-A Kim, Sim-Yeol Lee
    Korean Journal of Community Nutrition.2021; 26(2): 122.     CrossRef
Relationship between Adolescents Health Behavior, Stress and Birth Order: The Korea Youth Risk Behavior Web-Based Survey 2014
Kyungjin Kim, Byungsung Kim, Changwon Won, Hyunrim Choi, Sunyoung Kim, Woochul Park, Eunjoong Kwon
STRESS. 2017;25(2):138-144.   Published online June 30, 2017
DOI: https://doi.org/10.17547/kjsr.2017.25.2.138
  • 2,269 View
  • 27 Download
  • 2 Citations
Abstract PDF
Backgound:

A number of studies have documented relationship between various individual outcomes and birth order. This study sought to investigate the relationship between adolescents health behavior, stress and birth order.

Methods:

The data used in this study were obtained middle and high school students who replied to the 10th Korea Youth Risk Behavior Web-based Survey (KYRBWS) administered in 2014. We investigated the associations between health behavior, stress and birth order using multivariable logistic regression analysis controlling with age, height, weight, father’s education, mother’s education, economic status, academic status, sleep duration, sitting time, self-perceived health status, self-perceived happiness, depression mood, suicide idea, suicide plan, suicide attempt, drinking experience, smoking experience.

Results:

The distribution of first-born was 45.5% and later-born was 54.5%. In multivariable logistic regression the later-born replied higher portion of vigorous physical activity 3 days per week and strength exercise 5 days per week. And later-born replied lower economic status, lower academic performance and higher prevalence of drinking experience, smoking experience. Later-born they had more stress than first-born, but after adjusted for variable factors in multivariable logistic regression, birth order had no relationship with stress significantly.

Conclusions:

This study offers data for the development of intervention programs to adolescent related to birth order, and further study is necessary in order to clarify adolescent’s relationship between birth order and stress and individual outcomes.

Citations

Citations to this article as recorded by  
  • How the COVID-19 Pandemic Has Changed Adolescent Health: Physical Activity, Sleep, Obesity, and Mental Health
    Na-Hye Kim, Jung-Min Lee, Eunhye Yoo
    International Journal of Environmental Research and Public Health.2022; 19(15): 9224.     CrossRef
  • Influence of perceived stress on obesity in South Korean adolescents using data from the 13th 2017 Korea Youth Risk Behavior Web-Based Survey
    Hye Ja Gu
    Korean Journal of Health Education and Promotion.2019; 36(1): 29.     CrossRef
Brief Report
How Do Physical Activity, Internet Use, and Stress/Depression Differ Based on Body Mass Index (BMI): From the 2014 Korea Media Panel Survey
Myung Wha Kim, Jung A Lee
Korean J Str Res. 2016;24(4):317-320.   Published online December 31, 2016
DOI: https://doi.org/10.17547/kjsr.2016.24.4.317
  • 1,515 View
  • 22 Download
Abstract PDF

The purpose of this study was to investigate how physical activity levels, internet use, and stress/depression differ, based on Body Mass Index (BMI). The study assessed the impact that internet use may have on physical activity, fatness, and mental health, using data from the 2014 Korea Media Panel Survey. The 2014 Korea Media Panel Survey collected data from 6,568 Korean participants, who ranged in age from 19 to 60 years. Data collection addressed BMI, numbers of days per week for physical activity, internet use, and the levels of stress and depression. When participant data was grouped by BMI levels, it was found that the overweight group had significantly higher level of vigorous physical activity, when compared to the normal weight group. The analysis also showed that the obese group had significantly higher levels of vigorous physical activity, when compared to the underweight and normal weight groups. In looking at mental health issues, when compared to normal weight individuals, the obese individuals had significantly higher levels of depression. Higher BMI levels were more likely to be associated with increased internet use, when compared with lower BMI levels, but the amount of increase was non-significant. The indication is that increased levels of internet use might reduce the amount of time spent on daily physical activities, and that reduction could result in an increased BMI and a decreased mental health status. Further studies are needed to better identify the association between internet use, physical activity, and mental health.


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