| Literature DB >> 35401998 |
Muhammad Ittefaq1, Hyunjin Seo1, Mauryne Abwao1, Annalise Baines1.
Abstract
Objective: Over the last 10 years, an extensive body of literature has been produced to investigate the role of social media in health. However, little is known about the impact of cultural characteristics (e.g. masculinity, collectivism, and uncertainty avoidance) on social media use regarding health-related information, especially in developing countries like Pakistan. The present study employed Hofstede's cultural characteristics framework and uses and gratification theory to examine how Pakistani millennials' demographic attributes and cultural characteristics are associated with their social media use for health-related information. Method: An online survey of 722 people aged 18-35 living in Pakistan was conducted in spring 2020 to examine the intensity and frequency of social media use, health-related use of social media, cultural characteristics, and demographic attributes.Entities:
Keywords: Cultural characteristics; Pakistani millennials; digital health; social media; uses and gratification theory
Year: 2022 PMID: 35401998 PMCID: PMC8990539 DOI: 10.1177/20552076221089454
Source DB: PubMed Journal: Digit Health ISSN: 2055-2076
Characteristics of survey participants.
| Variable | Value | Percent |
|---|---|---|
| Gender | Female | 56.5% |
| Education | Bachelor | 52.2% |
| Household income | Above
80,000 | 26.7% |
Reasons for using social Media for health-related matters.
| Variable |
|
|
|
|---|---|---|---|
| To communicate and share health-related information | 3.74 | .910 | 722 |
| To interact with online community regarding specific health issues | 3.72 | .893 | 722 |
| To get health-related information | 3.62 | .963 | 722 |
| To improve my health knowledge | 3.45 | .982 | 722 |
Note: Respondents were asked to indicate on a five-point scale (1 = strongly disagree, 5 = strongly agree) for each of the reasons for using social media.
Social Media sites used for health-related matters.
| Network |
|
|
|
|---|---|---|---|
| YouTube | 3.60 | 1.195 | 722 |
| 3.18 | 1.345 | 722 | |
| 2.83 | 1.208 | 722 | |
| 2.56 | 1.304 | 722 | |
| Other | 2.91 | 1.260 | 722 |
Note: Respondents were asked to indicate on a five-point scale (1 = strongly disagree, 5 = strongly agree) for each of the social media use for health-related information.
Results of regression analysis (DV: social media importance).
| Model | Independent variable | β |
|
|
|
|
|---|---|---|---|---|---|---|
| 1 | Education | .038 | .859 | .015 | .010 | 2.735* |
| Age | −.096* | −2.116 | ||||
| Income | −.045 | −1.196 | ||||
| 2 | Education | .048 | 1.088 | .050 | .041 | 5.407*** |
| Age | −.078 | −1.733 | ||||
| Income | −.036 | −.959 |
|
Note: *p < .05, **p < .01, ***p < .001.
Results of regression analysis (DV: social media access).
| Model | Independent variable | β |
|
|
|
|
|---|---|---|---|---|---|---|
| 1 | Education | −.063 | −1.432 | .032 | .027 | 5.971*** |
| Age | .034 | .761 | ||||
| Income | −.029 | −.771 | ||||
| 2 | Education | −.054 | −1.289 | .141 | .132 | 16.721*** |
| Age | .068 | 1.582 | ||||
| Income | −.015 | −.421 |
|
Note: *p < .05, **p < .01, ***p < .001.
Results of regression analysis (DV: social media usefulness).
| Model | Independent variable | β |
|
|
|
|
|---|---|---|---|---|---|---|
| 1 | Education | −.059 | −1.346 | .051 | .045 | 9.575*** |
| Age | −.018 | −.405 | ||||
| Income | −.029 | −.773 | ||||
| 2 | Education | −.052 | −1.239 | .122 | .114 | 14.188*** |
| Age | .009 | .217 | ||||
| Income | −.018 | −.500 |
|
Note: *p < .05, **p < .01, ***p < .001.