| Article Citation and Permalink (APA format) |
Article 1
Tan, C. H., Koo, A. C., Rahmat, H., Siew, W. F., Cheang, A. W. O., & Sharji, E. A. (2022). A quantitative study exploring the acceptance of the eHealth model for mental wellness among digital workers. F1000Research, 11, 111–111. https://doi.org/10.12688/f1000research.73482.2
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Article 2
Moreno-Agostino, D., Woodhead, C., Ploubidis, G. B., & Das-Munshi, J. (2023). A quantitative approach to the intersectional study of mental health inequalities during the COVID-19 pandemic in UK young adults. Social Psychiatry and Psychiatric Epidemiology. https://doi.org/10.1007/s00127-023-02424-0
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Article 3
Kim, H., Lee, K.-K., Ye Hoon Lee, Young Joo Park, Park, Y., Yu, Y., Park, J., & Noh, S.-H. (2023). The Effectiveness of a Mobile Phone–Based Physical Activity Program for Treating Depression, Stress, Psychological Well-Being, and Quality of Life Among Adults: Quantitative Study. Jmir Mhealth and Uhealth, 11, e46286–e46286. https://doi.org/10.2196/46286
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| Point |
Description |
Description |
Description |
| Broad Topic Area/Title |
Exploring the acceptance of the eHealth model for mental wellness among digital workers |
Mental health inequalities during the COVID-19 pandemic in UK young adults |
Effectiveness of a mobile phone–based physical activity program for treating depression |
| Identify Independent and Dependent Variables and Type of Data for the Variables |
Dependent variable: Acceptance of the eHealth model
Independent variables: Gender, workplace wellness, and other demographic factors
|
Dependent variable: Mental health, measured using the Kessler Psychological Distress Scale (K10)
Independent variables: Social identity/position variables, such as gender, ethnicity, socioeconomic status, and disability status
|
Dependent variables: Depression, stress, psychological well-being, and quality of life
Independent variable: Mobile phone–based physical activity program
|
| Population of Interest for the Study |
The population interest of the study includes Digital workers from a Premier Digital Tech Institution (PDTI). |
The population interest of the study includes UK young adults within February/March 2021 (during the third UK nationwide lockdown). |
The population of interest within the study comprised of adults aged between 18 and 65 years with depression. The study offers an efficient way in which the study can be used to improve the outcomes and facilitate positive findings. |
| Sample |
The sample from the study included 41 digital workers who were selected from Premier Digital Tech Institution (PDTI). |
8,588 UK young adults, recruited from two British cohorts (born in 1990 and 2000–2002, respectively) |
68 adults aged between 18 and 65 years with depression, randomly assigned to either the treatment group or the waitlist group |
| Sampling Method |
The study comprised of a Survey targeted to digital workers. The sampling method is important to the attainment of the research outcomes and findings intended for the article. |
Not explicitly stated, but likely random sampling as a result of the data used within the study. The method signifies and important component that leads to the findings and results. |
The sampling method in this study comprises of a Randomized controlled trial (RCT) |
| Descriptive Statistics (Mean, Median, Mode; Standard Deviation) |
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Expert Answer and Explanation
Article Analysis 1
| Article Citation and Permalink (APA format) |
Article 1
Tan, C. H., Koo, A. C., Rahmat, H., Siew, W. F., Cheang, A. W. O., & Sharji, E. A. (2022). A quantitative study exploring the acceptance of the eHealth model for mental wellness among digital workers. F1000Research, 11, 111–111. https://doi.org/10.12688/f1000research.73482.2
|
Article 2
Moreno-Agostino, D., Woodhead, C., Ploubidis, G. B., & Das-Munshi, J. (2023). A quantitative approach to the intersectional study of mental health inequalities during the COVID-19 pandemic in UK young adults. Social Psychiatry and Psychiatric Epidemiology. https://doi.org/10.1007/s00127-023-02424-0
|
Article 3
Kim, H., Lee, K.-K., Ye Hoon Lee, Young Joo Park, Park, Y., Yu, Y., Park, J., & Noh, S.-H. (2023). The Effectiveness of a Mobile Phone–Based Physical Activity Program for Treating Depression, Stress, Psychological Well-Being, and Quality of Life Among Adults: Quantitative Study. Jmir Mhealth and Uhealth, 11, e46286–e46286. https://doi.org/10.2196/46286
|
| Point |
Description |
Description |
Description |
| Broad Topic Area/Title |
Exploring the acceptance of the eHealth model for mental wellness among digital workers |
Mental health inequalities during the COVID-19 pandemic in UK young adults |
Effectiveness of a mobile phone–based physical activity program for treating depression |
| Identify Independent and Dependent Variables and Type of Data for the Variables |
Dependent variable: Acceptance of the eHealth model
Independent variables: Gender, workplace wellness, and other demographic factors
|
Dependent variable: Mental health, measured using the Kessler Psychological Distress Scale (K10)
Independent variables: Social identity/position variables, such as gender, ethnicity, socioeconomic status, and disability status
|
Dependent variables: Depression, stress, psychological well-being, and quality of life
Independent variable: Mobile phone–based physical activity program
|
| Population of Interest for the Study |
The population interest of the study includes Digital workers from a Premier Digital Tech Institution (PDTI). |
The population interest of the study includes UK young adults within February/March 2021 (during the third UK nationwide lockdown). |
The population of interest within the study comprised of adults aged between 18 and 65 years with depression. The study offers an efficient way in which the study can be used to improve the outcomes and facilitate positive findings. |
| Sample |
The sample from the study included 41 digital workers who were selected from Premier Digital Tech Institution (PDTI). |
8,588 UK young adults, recruited from two British cohorts (born in 1990 and 2000–2002, respectively) |
68 adults aged between 18 and 65 years with depression, randomly assigned to either the treatment group or the waitlist group |
| Sampling Method |
The study comprised of a Survey targeted to digital workers. The sampling method is important to the attainment of the research outcomes and findings intended for the article. |
Not explicitly stated, but likely random sampling as a result of the data used within the study. The method signifies and important component that leads to the findings and results. |
The sampling method in this study comprises of a Randomized controlled trial (RCT) |
| Descriptive Statistics (Mean, Median, Mode; Standard Deviation) |
M
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