| Literature DB >> 33343438 |
Shuya Pan1, Di Zhang1, Jingwen Zhang2.
Abstract
This study uses online survey data from the United States and China to examine how contradictory information and social norms regarding HPV vaccines obtained through social media are related to young women's attitudes and intentions surrounding HPV vaccination. The results show that exposure to contradictory information on social media had a greater negative association with intentions to receive HPV vaccination among the United States participants than among the Chinese participants, while social norms supporting HPV vaccines had a stronger positive association with intentions to receive HPV vaccination among the Chinese participants than among the United States participants. These findings extend the literature on social media communication regarding HPV vaccination and contribute to our knowledge of cultural contexts that influence intentions to receive HPV vaccination.Entities:
Keywords: HPV vaccine; contradictory information exposure; social media; social norms; vaccination intention
Year: 2020 PMID: 33343438 PMCID: PMC7744687 DOI: 10.3389/fpsyg.2020.548365
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
FIGURE 1Conceptual model.
Descriptive statistics of respondents.
| U.S. sample ( | Chinese sample ( | Mean diff. | Pooled sample ( | |||||||||
| Variables | M | SD | % | M | SD | % | M | SD | ||||
| Age | 22.21 | 2.11 | 21.81 | 1.94 | 21.95 | 2.00 | ||||||
| Less than a bachelor’s degree | 94 | 70.68 | 35 | 13.78 | 129 | |||||||
| Bachelor’s degree and above | 39 | 29.32 | 219 | 86.22 | 258 | |||||||
| Single | 46 | 34.59 | 139 | 54.72 | 185 | |||||||
| In relationship | 87 | 65.41 | 115 | 45.28 | 202 | |||||||
| Employed | 55 | 41.35 | 110 | 43.31 | 165 | |||||||
| Working part-time | 34 | 25.56 | 60 | 23.62 | 94 | |||||||
| Unemployed | 44 | 33.08 | 84 | 33.07 | 128 | |||||||
| White | 92 | 69.17 | ||||||||||
| Non-white | 41 | 30.83 | ||||||||||
| Yes | 99 | 74.44 | 90 | 35.43 | 189 | |||||||
| No | 34 | 25.56 | 164 | 64.57 | 198 | |||||||
| Exposure* | 3.32 | 2.41 | 3.92 | 1.91 | −0.60** | 3.71 | 2.11 | |||||
| SMDN* | 11.98 | 3.46 | 14.17 | 3.66 | −2.19** | 13.42 | 3.73 | |||||
| SMIN* | 12.86 | 3.68 | 15.03 | 3.71 | −2.17** | 14.28 | 3.84 | |||||
| AT* | 19.91 | 6.96 | 22.20 | 4.24 | −2.29** | 21.41 | 5.43 | |||||
| BI* | 13.20 | 5.69 | 16.41 | 3.67 | −3.21** | 15.30 | 4.71 | |||||
Coefficients for pairwise correlation among predictor and outcome variables in the Chinese sample.
| IN2 | IN3 | AT1 | AT2 | AT3 | AT4 | E | SMDN1 | SMDN2 | SMDN3 | SMIN1 | SMIN2 | SMIN3 | |
| IN1 | 0.78 | 0.66 | 0.39 | 0.35 | 0.30 | 0.29 | −0.19 | 0.39 | 0.38 | 0.29 | 0.38 | 0.34 | 0.32 |
| IN2 | 0.65 | 0.38 | 0.35 | 0.30 | 0.30 | −0.17 | 0.38 | 0.40 | 0.28 | 0.40 | 0.37 | 0.34 | |
| IN3 | 0.41 | 0.39 | 0.30 | 0.30 | −0.19 | 0.42 | 0.40 | 0.42 | 0.35 | 0.34 | 0.41 | ||
| AT1 | 0.73 | 0.72 | 0.62 | −0.24 | 0.33 | 0.31 | 0.32 | 0.39 | 0.33 | 0.38 | |||
| AT2 | 0.66 | 0.65 | −0.24 | 0.31 | 0.32 | 0.27 | 0.34 | 0.31 | 0.35 | ||||
| AT3 | 0.70 | −0.21 | 0.30 | 0.24 | 0.22 | 0.30 | 0.27 | 0.26 | |||||
| AT4 | −0.14 | 0.29 | 0.21 | 0.17 | 0.27 | 0.23 | 0.22 | ||||||
| E | −0.18 | −0.22 | −0.18 | −0.20 | −0.19 | −0.18 | |||||||
| SMDN1 | 0.74 | 0.61 | 0.53 | 0.57 | 0.54 | ||||||||
| SMDN2 | 0.65 | 0.56 | 0.59 | 0.58 | |||||||||
| SMDN3 | 0.52 | 0.56 | 0.62 | ||||||||||
| SMIN1 | 0.73 | 0.69 | |||||||||||
| SMIN2 | 0.76 |
Coefficients for pairwise correlation among predictor and outcome variables in the U.S. sample.
| IN2 | IN3 | AT1 | AT2 | AT3 | AT4 | E | SMDN1 | SMDN2 | SMDN3 | SMIN1 | SMIN2 | SMIN3 | |
| IN1 | 0.94 | 0.92 | 0.69 | 0.68 | 0.74 | 0.69 | −0.37 | 0.37 | 0.37 | 0.38 | 0.35 | 0.46 | 0.43 |
| IN2 | 0.92 | 0.68 | 0.69 | 0.70 | 0.69 | −0.37 | 0.35 | 0.35 | 0.35 | 0.36 | 0.43 | 0.41 | |
| IN3 | 0.68 | 0.67 | 0.72 | 0.68 | −0.38 | 0.33 | 0.35 | 0.38 | 0.34 | 0.43 | 0.43 | ||
| AT1 | 0.91 | 0.89 | 0.89 | −0.21 | 0.38 | 0.37 | 0.39 | 0.42 | 0.47 | 0.43 | |||
| AT2 | 0.89 | 0.92 | −0.27 | 0.49 | 0.44 | 0.41 | 0.41 | 0.46 | 0.46 | ||||
| AT3 | 0.89 | −0.24 | 0.47 | 0.46 | 0.46 | 0.41 | 0.50 | 0.49 | |||||
| AT4 | −0.28 | 0.47 | 0.41 | 0.40 | 0.36 | 0.42 | 0.43 | ||||||
| E | − | −0.19 | −0.18 | −0.19 | − | − | |||||||
| SMDN1 | 0.76 | 0.70 | 0.55 | 0.67 | 0.64 | ||||||||
| SMDN2 | 0.84 | 0.66 | 0.66 | 0.72 | |||||||||
| SMDN3 | 0.71 | 0.75 | 0.77 | ||||||||||
| SMIN1 | 0.84 | 0.85 | |||||||||||
| SMIN2 | 0.84 |
FIGURE 2SEM for main effects.
Fit indices for measurement invariance.
| χ2 | Δχ2 | CFI | ΔCFI | RMSEA | ΔRMSEA | Accept/reject | ||
| Configural invariance | 140 | 246.64 | NA | 0.976 | NA | 0.063 | NA | Accept |
| Full metric invariance | 149 | 255.61 | 8.966 | 0.976 | 0 | 0.061 | 0.002 | Accept |
| Full metric and scalar invariance | 158 | 302.26 | 46.658 | 0.967 | 0.009 | 0.069 | 0.008 | Reject |
FIGURE 3Multi-group SEM.