| Title |
Measuring Men’s Gender Norms and Gender Role Conflict/Stress in a High HIV-Prevalence South African Setting
|
|---|---|
| Published in |
AIDS and Behavior, May 2016
|
| DOI | 10.1007/s10461-016-1374-1 |
| Pubmed ID | |
| Authors |
Ann Gottert, Clare Barrington, Audrey Pettifor, Heath Luz McNaughton-Reyes, Suzanne Maman, Catherine MacPhail, Kathleen Kahn, Amanda Selin, Rhian Twine, Sheri A. Lippman |
| Abstract |
Gender norms and gender role conflict/stress may influence HIV risk behaviors among men; however scales measuring these constructs need further development and evaluation in African settings. We conducted exploratory and confirmatory factor analyses to evaluate the Gender Equitable Men's Scale (GEMS) and the Gender Role Conflict/Stress (GRC/S) scale among 581 men in rural northeast South Africa. The final 17-item GEMS was unidimensional, with adequate model fit and reliability (alpha = 0.79). Factor loadings were low (0.2-0.3) for items related to violence and sexual relationships. The final 24-item GRC/S scale was multidimensional with four factors: Success, power, competition; Subordination to women; Restrictive emotionality; and Sexual prowess. The scale had adequate model fit and good reliability (alpha = 0.83). While GEMS is a good measure of inequitable gender norms, new or revised scale items may need to be explored in the South African context. Adding the GRC/S scale to capture men's strain related to gender roles could provide important insights into men's risk behaviors. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 50% |
| Canada | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 1 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 78 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 15% |
| Student > Master | 12 | 15% |
| Researcher | 6 | 8% |
| Student > Doctoral Student | 5 | 6% |
| Other | 3 | 4% |
| Other | 10 | 13% |
| Unknown | 30 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 15 | 19% |
| Medicine and Dentistry | 12 | 15% |
| Social Sciences | 10 | 13% |
| Nursing and Health Professions | 4 | 5% |
| Materials Science | 2 | 3% |
| Other | 3 | 4% |
| Unknown | 32 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 June 2016.
All research outputs
#15,045,880
of 24,326,994 outputs
Outputs from AIDS and Behavior
#2,147
of 3,617 outputs
Outputs of similar age
#188,284
of 339,104 outputs
Outputs of similar age from AIDS and Behavior
#50
of 78 outputs
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