The mediating effect of sleep satisfaction on the relationship between stress and perceived health of adolescents suffering atopic disease: Secondary analysis of data from the 2013 9th Korea Youth Risk Behavior Web-based Survey

Oh, Won‐Oak; Im, Yeo Jin; Suk, Min Hyun

doi:10.1016/j.ijnurstu.2016.08.012

Cited by 11 publications

(10 citation statements)

References 28 publications

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“…For adolescents with asthma, allergic rhinitis, and atopic dermatitis, known to interfere with sleep, they had the highest rate of sleep dissatisfaction. A previous study reported that allergic rhinitis and atopic dermatitis negatively affect adolescents’ sleep satisfaction compared to those with asthma [ 27 ], but it is an advantage of our study that we examined the relationship between smartphone addiction and sleep satisfaction using these variables as confounding variables.…”

Section: Discussionmentioning

confidence: 99%

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Relationship between Smartphone Addiction and Sleep Satisfaction: A Cross-Sectional Study on Korean Adolescents

Kim

Lee

2022

Healthcare

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The purpose of this study was to analyze the relationship between smartphone addiction and sleep satisfaction in 54,948 Korean adolescents. This study utilized the Korea Youth Risk Behavior Web-Based Survey (KYRBS). The dependent variable was sleep satisfaction. Independent variables were smartphone addiction level and usage time. Gender, school grade, stress, depression, regular physical activity (PA), asthma, allergic rhinitis, and atopic dermatitis were selected as confounding variables. A chi-squared test, logistic regression, and independent t-test were performed for data analysis. As a result of the chi-squared test, sleep satisfaction showed significant relationships with all confounding variables (all p < 0.001). As a result of adjusting all confounding variables, sleep satisfaction of smartphone normal users was significantly higher (odds ratios: 1.372, p < 0.001) than that of high-risk users with smartphone addiction. Smartphone users with a daily smartphone usage time from 2 h to 8 h a day were 1.096–1.347 times (p = 0.014 to p < 0.001) more likely to be satisfied with their sleep than smartphone users with a daily smartphone usage time over 8 h, who were unsatisfied with their sleep. The group that was not satisfied with their sleep had a significantly higher average daily smartphone usage time and total score on the smartphone addiction scale than the group that was satisfied with their sleep (both p < 0.001). In conclusion, it will be necessary to manage the use of smartphones to improve the sleep satisfaction of Korean adolescents.

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Section: Discussionmentioning

confidence: 99%

“…Answers of “just so-so”, “unsatisfactory”, and “very unsatisfactory” were classified as “no”. The method of evaluating sleep satisfaction used in this study has been frequently used in previous studies [ 26 , 27 ].…”

Section: Methodsmentioning

confidence: 99%

Relationship between Smartphone Addiction and Sleep Satisfaction: A Cross-Sectional Study on Korean Adolescents

Kim

Lee

2022

Healthcare

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“…Another study found that the number of comorbid conditions, which was also associated with a high hospital admission rate, affected sleep quality among adults [14]. Some studies have examined health-related factors affecting sleep quality among adolescents, such as physical activity [8] and overweight and obesity [15], as well as the effects of certain diagnoses, such as atopic diseases [16], asthma [17], fatigue, and health-related quality of life [18]. However, the relationships between other health-related factors (e.g., hospital admissions and number of diagnoses) and sleep quality have not been widely investigated among adolescents.…”

Section: Introductionmentioning

confidence: 99%

The Pittsburg Sleep Quality Index (PSQI) and Associated Factors in Middle-school Students: A Cross-sectional Study

Park¹

2020

Child Health Nurs Res

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Purpose: The purpose of this study was to evaluate the current level of sleep quality among Korean middle-school students using the Pittsburg Sleep Quality Index (PSQI), and to analyze the factors influencing sleep quality.Methods: The study used a descriptive cross-sectional design and a self-report questionnaire. The participants were 744 middle-school students. The questionnaire included the PSQI and health-related questions, such as the types of diseases they had been diagnosed with and the frequency of hospital admissions. The data were analyzed using the independent t-test, analysis of variance, Pearson correlation coefficients, and linear multiple regression.Results: The global PSQI score was 4.21, which indicated good sleep quality. The major factors that were associated with the sleep quality of middle-school students were the number of diseases they had been diagnosed with (β=.54, <i>p</i>=.001) and atopic dermatitis (β=.32, <i>p</i>=.001). In addition, asthma and the frequency of hospital admissions were significant factors influencing each component of the PSQI.Conclusion: The findings from this study suggest that sleep quality was associated with several health-related factors. Thus, nurses, school nurses, and nursing researchers may need to assess the health-related factors associated with adolescents’ sleep quality as part of efforts to improve their sleep quality.

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“…Secondary sources of quantitative data may include national census conducted by government, local or regional datasets held by public bodies, or questionnaires and surveys undertaken by researchers at a university or other type of national or international institution (Dale et al, (2008). For example, Oh et al (2016) mined the Korea Youth Risk Behaviour Webbased Survey to determine whether satisfaction with sleep was linked to stress in adolescents with atopic disease, while Jacoby et al (2017) reused data from a longitudinal cohort study of psychological outcomes from minor injury to examine how this relates to recovery and disability. Digital archives held by libraries, museums or other social and cultural agencies could also be useful sources of quantitative data, with some providing an extensive catalogue that is searchable online.…”

Section: The Practice Of Secondary Data Analysismentioning

confidence: 99%

Secondary Data Analysis in Nursing Research: A Contemporary Discussion

O’Connor

2020

Clin Nurs Res

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The mediating effect of sleep satisfaction on the relationship between stress and perceived health of adolescents suffering atopic disease: Secondary analysis of data from the 2013 9th Korea Youth Risk Behavior Web-based Survey

Cited by 11 publications

References 28 publications

Relationship between Smartphone Addiction and Sleep Satisfaction: A Cross-Sectional Study on Korean Adolescents

Relationship between Smartphone Addiction and Sleep Satisfaction: A Cross-Sectional Study on Korean Adolescents

The Pittsburg Sleep Quality Index (PSQI) and Associated Factors in Middle-school Students: A Cross-sectional Study

Secondary Data Analysis in Nursing Research: A Contemporary Discussion

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