| Literature DB >> 28784172 |
Haochu Li1,2,3, Li Xue4, Joseph D Tucker5,6, Chongyi Wei7, Maya Durvasula8, Wenqi Hu4, Dianming Kang9, Meizhen Liao9, Weiming Tang5,6,10, Wei Ma11.
Abstract
BACKGROUND: Community engagement strategies are often integrated in public health interventions designed to promote condom use among men who have sex with men (MSM), a key population for HIV prevention. However, the ways in which condom use peer norms and self-efficacy play a role in the association between community engagement and condom use is unclear. This study examines the potential mediating roles of peer norms and self-efficacy in this association.Entities:
Keywords: Community engagement; HIV; Men who have sex with men; Path model; Peer norm; Self-efficacy
Mesh:
Year: 2017 PMID: 28784172 PMCID: PMC5545844 DOI: 10.1186/s12889-017-4662-4
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Sociodemographic characteristics of online high-risk MSM in China, 2015 (n = 1042)
| Characteristics | Frequency ( | Percentage (%) |
|---|---|---|
| Agea | ||
| ≤ 25 | 648 | 62.4 |
| 26–35 | 306 | 29.5 |
| 36–45 | 67 | 6.4 |
| ≥ 46 | 18 | 1.7 |
| Marital status | ||
| Not married | 853 | 81.9 |
| Engaged or Married | 139 | 13.3 |
| Separated or Divorced | 48 | 4.6 |
| Widowed | 2 | 0.2 |
| Student status | ||
| Yes | 365 | 35.0 |
| No | 677 | 65.0 |
| Education level | ||
| High school or below | 338 | 32.4 |
| College diploma | 264 | 25.3 |
| Undergraduate | 390 | 37.4 |
| Postgraduate (Master/PhD) | 50 | 4.8 |
| Individual monthly income | ||
| < 1500 RMB (241.9 USD) | 276 | 26.5 |
| 1500–3000 RMB (242–483.9 USD) | 269 | 25.8 |
| 3001–5000 RMB (484–806.5 USD) | 300 | 28.8 |
| 5001–8000 RMB (806.6-1290 USD) | 100 | 12.5 |
| > 8000 RMB (1290 USD) | 67 | 6.4 |
| Sexual identity | ||
| Gay | 733 | 70.3 |
| Bisexual | 270 | 25.9 |
| Straight/Heterosexual | 1 | 0.1 |
| Unsure/Other | 38 | 3.6 |
aAge: mean = 25.3, SD = ± 6.767(with three missing values)
Descriptive statistics of four variables
| Mean(SD) | Min | Q25 | Median | Q75 | Max | N | |
|---|---|---|---|---|---|---|---|
| Engagement | 0.35 (0.25) | 0.00 | 0.13 | 0.25 | 0.5 | 1.00 | 1042 |
| Peer norms | 3.75 (0.71) | 1.00 | 3.33 | 3.67 | 4.33 | 5.00 | 1042 |
| Self-efficacy | 3.98 (0.68) | 1.43 | 3.57 | 4.00 | 4.57 | 5.00 | 1042 |
| Condom use | 2.37 (1.00) | 1.00 | 1.50 | 2.00 | 3.00 | 4.00 | 1042 |
Correlations between variables of community engagement, peer norms, self-efficacy and condom use among online high-risk MSM in China, 2015 (n = 1042)
| Variable | 2 | 3 | 4 |
|---|---|---|---|
| 1.community engagement | 0.152*** | 0.140*** | 0.085** |
| 2.peer norms | 0.516*** | 0.148*** | |
| 3.self-efficacy | 0.254*** | ||
| 4.condom use |
*** p < 0.001, ** p < 0.01
Unstandardized and standardized loading for measurement model of community engagement, peer norms and self-efficacy among online high-risk MSM in China (n = 1042)
| Parameter estimate | Unstandardized loading( | Standardized loading |
|---|---|---|
| Engagement → I1 | 1.000 | 0.809 |
| Engagement → I2 | 0.902 (0.052)*** | 0.745 |
| Engagement → I3 | 0.700 (0.045)*** | 0.566 |
| Engagement → I4 | 1.088 (0.047)*** | 0.880 |
| Engagement → I5 | 1.088 (0.052)*** | 0.880 |
| Engagement → I6 | 0.667 (0.051)*** | 0.539 |
| Engagement → I7 | 0.697 (0.051)*** | 0.564 |
| Engagement → I8 | 0.580 (0.053)*** | 0.469 |
| Peer norms → F3 | 1.000 | 0.229 |
| Peer norms → F4 | 2.507 (0.336)*** | 0.574 |
| Peer norms → F5 | 2.650 (0.356)*** | 0.606 |
| Peer norms → F6 | 3.740 (0.494)*** | 0.856 |
| Peer norms → F7 | 3.827 (0.501)*** | 0.875 |
| Peer norms → F8 | 4.086 (0.538)*** | 0.935 |
| Self-efficacy → F9 | 1.000 | 0.727 |
| Self-efficacy → F10 | 0.932 (0.033)*** | 0.678 |
| Self-efficacy → F11 | 0.963 (0.033)*** | 0.700 |
| Self-efficacy → F12 | 1.048 (0.031)*** | 0.761 |
| Self-efficacy → F13 | 0.993 (0.029)*** | 0.721 |
| Self-efficacy → F14 | 0.958 (0.030)*** | 0.696 |
| Self-efficacy → F15 | 0.954 (0.031)*** | 0.694 |
As suggested by the modification indices, adjustment of original CFA model is not needed
Standard errors are in the parenthesis
*** p < 0.001, Fit index: CFI = 0.960, TLI = 0.954, RMSEA = 0.064, 90% CI (0.060, 0.068)
Fig. 1Structured path model of community engagement, peer norms, self-efficacy and condom use among online high-risk MSM in China, 2015 (n = 1042). Path model of community engagement, peer norm, self-efficacy, and condom use ** p < 0.001, * p < 0.1. Note: Fit index: CFI = 0.988, TLI = 0.987, RMSEA = 0.032, 90% CI (0.028, 0.036). Only significant routes were included in the figure. All path coefficients and factor loadings shown were standardized
Indirect effects of community engagement on condom use via peer norms and self-efficacy among online high-risk MSM in China, 2015 (n = 1042)
| Pathways to condom use | Unstandardized |
|
| Standardized |
|---|---|---|---|---|
| Engagement - self-efficacy - condom use | 0.040 | 0.024 | 0.099 | 0.017 |
| Engagement-peer norms - self-efficacy –condom use | 0.081 | 0.023 | 0.000 | 0.035 |
| Total indirect effect of engagement | 0.121 | 0.033 | 0.000 | 0.052 |
| Peer norms - self-efficacy - condom use | 0.757 | 0.142 | 0.000 | 0.177 |
With WLSMV, Mplus doesn’t provide standard errors and p-values for standardized estimates when the model contains covariates