Predictive factors of life quality among packaging workers in Taiwan

Yang, Shang Yu; Hsu, Der Jen; Yen, Chun Ming; Chang, Jer Hao

doi:10.1093/heapro/day029

Cited by 8 publications

(10 citation statements)

References 33 publications

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“…At the same time, all the demographic variables were controlled for, as previous literature suggested that they could affect both the independent and dependent variables of this study. These demographic variables included gender [28], age [37], education level [38], marital status [28], monthly or disposable income [37], residential status [39], number of chronic diseases [40], and employment status [41]. In addition, after collinearity diagnostics were run on different multiple regression models, it was found that the variance inflation factor (VIF) of the independent variables of all models was less than 10, indicating that the problem of collinearity could be ignored [42].…”

Section: Discussionmentioning

confidence: 99%

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Investigating the Relationship between Media Usage, Depression, and Quality of Life among Older Adults

Wang

Hsieh

et al. 2021

Healthcare

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Background: The uses and gratifications theory suggests that various types of media can greatly affect people’s lives. This is especially true among older adults who tend to use media for leisure. However, there is insufficient research regarding the relationship between media usage, depression, and quality of life among older adults. Purpose: The purpose of this study was to explore the association between media usage (traditional and internet media), depression, and quality of life among older adults. Methods: Using a cross-sectional design, this study recruited individuals aged 65 years and older in central Taiwan and collected data via a structured questionnaire. Contents of the questionnaire included demographic details, a media usage behavior questionnaire, the Brief Symptoms Rating Scale (BSRS-5), and the Quality of Life Scale developed by the World Health Organization (WHOQOL-BREF). Subsequently, multiple regression analyses were conducted to investigate the association between media usage, depression, and quality of life of older adults. Results: The average age of the 252 participants (107 males) was 70.0 ± 5.4 years. Regression analysis revealed a significant, negative relationship between the number of hours spent watching television and the degree of depression. Additionally, the number of hours spent watching television was significantly negatively related to the quality of life in terms of both the psychological health and social relationships categories. In contrast, the number of hours spent reading newspapers and magazines was significantly positively related to quality of life in the categories of psychological health, social relationships, and environment. Finally, the number of hours spent browsing internet media was significantly positively related to the quality of life in the psychological health category. Conclusion: Media usage may affect the degree of depression and quality of life of older adults depending on the type of media and amount of usage.

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Section: Discussionmentioning

confidence: 99%

“…The higher the score, the higher the subject’s quality of life. Both the reliability and validity of WHOQOL-BREF have been well verified [ 27 , 28 ]. In this study, the Cronbach’s alpha of the physical health, psychological health, social relationships, and environment categories were 0.82, 0.83, 0.78, and 0.83, respectively.…”

Section: Methodsmentioning

confidence: 99%

Investigating the Relationship between Media Usage, Depression, and Quality of Life among Older Adults

Wang

Hsieh

et al. 2021

Healthcare

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“…A 5-point Likert scale was employed; the higher the score, the higher the quality of life of the respondent. The WHOQOL-BREF Questionnaire has been widely applied to measure the quality of life of employees in various professions; it has favorable reliability and validity 2 , 7 , 25 ) . Regarding the physical, psychological, social, and environmental domains, the respective Cronbach’s alpha of the pretest (post-test) were 0.80 (0.77), 0.86 (0.78), 0.98 (0.76), and 0.96 (0.84).…”

Section: Methodsmentioning

confidence: 99%

“…Unfortunately, approximately half (49.22%) of family caregivers have no one to substitute them 3 ) . Performing care tasks for long periods may negatively affect family caregivers’ care stress (physiologically and mentally), family functions (e.g., the relationships among family members), and quality of life 4 – 7 ) .…”

Section: Introductionmentioning

confidence: 99%

Improving the care stress, life quality, and family functions for family-caregiver in long-term care by home modification

Yang

Hsieh

et al. 2021

INDUSTRIAL HEALTH

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This study examined whether interventions through barrier-free home environment improvements could reduce family caregivers’ care stress, improve their family functions, and increase their quality of life. This study recruited family caregivers of older people with disabilities from a long-term care management center in central Taiwan. These older people required improvements related to a barrier-free home environment. A pretest was conducted before and a post-test was conducted 2 months after the improvements. The content of the pretest and the post-test questionnaires included: demographic characteristics, Caregiver stress scale, Family functions scale, World Health Organization Quality of Life-BREF (WHOQOL-BREF) Questionnaire. This study recruited 72 family caregivers; the average age was 56.25 ± 12.99 years. The results indicated that interventions through barrier-free home environment improvements could significantly reduce the family caregivers’ care stress, improve their family functions (e.g., reducing conflicts), and enhance their quality of life. Additionally, after intervention, the family cohesion of family caregivers caring for those with mild disability improved to a greater extent than did that of those caring for people with other disease severities. This study revealed that interventions involving barrier-free home environment improvements have positive effects on family caregivers.

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“…The exclusion criteria, as explained by the research assistants to the participants, were as follows: History and/or diagnosis of mental illness or its symptoms, being a parent, and/or working at night. The latter two exclusion criteria were based on the findings of previous studies that being a parent, and/or working at night may affect an individual's sleep quality and/or interpersonal interactions [31][32][33]. Ethical approval for the study was obtained from the National Cheng Kung University Human Research Ethics Committee (NCKU HREC-E-108-032-2).…”

Section: Study Design and Subject Recruitmentmentioning

confidence: 99%

Does Interpersonal Interaction Really Improve Emotion, Sleep Quality, and Self-Efficacy among Junior College Students?

Wang

Lin

et al. 2020

IJERPH

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This study discusses the correlation between teenagers’ real-life interpersonal interactions and teenagers’ online interpersonal interactions with regards to emotion, sleep quality, and self-efficacy. This study adopted a cross-sectional design that included a survey using a structured questionnaire which included demographic data, the Chinese version of the Depression Anxiety Stress Scale (DASS-21), the Pittsburgh Sleep Quality Index (PSQI), the General Self-Efficacy Scale (GSE), the Real Interpersonal Interaction Scale (RIIS), and the Internet Interpersonal Interaction Scale (IIIS). This study enlisted 917 teenage students (age = 17.16 ± 1.48 years). The study found that RIIS had significant negative correlations with DASS and PSQI scores and a significant positive correlation with GSE. Namely, the greater the degree of real-life interpersonal interaction, the lower the degree of negative emotion. Likewise, the more satisfactory sleep quality is, the higher self-efficacy is. In addition, IIIS scores demonstrate significantly positive correlations with DASS and PSQI scores. Therefore, the greater the degree of online interpersonal interaction, the greater the levels of negative emotion, and the poorer the sleep quality is. This study showed that online interpersonal interaction may not improve emotions, sleep quality, or self-efficacy among junior college students. However, real-life interpersonal interaction may improve those three parameters.

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Predictive factors of life quality among packaging workers in Taiwan

Cited by 8 publications

References 33 publications

Investigating the Relationship between Media Usage, Depression, and Quality of Life among Older Adults

Investigating the Relationship between Media Usage, Depression, and Quality of Life among Older Adults

Improving the care stress, life quality, and family functions for family-caregiver in long-term care by home modification

Does Interpersonal Interaction Really Improve Emotion, Sleep Quality, and Self-Efficacy among Junior College Students?

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