基于SOR框架探讨不孕症患者社交媒体社交焦虑生成机制:电子健康素养与网络健康信息搜寻行为的链式中介效应
收稿日期: 2026-03-11
网络出版日期: 2026-07-14
基金资助
广东省医学科研基金项目(A2024557)
Exploring the mechanism of social media social anxiety in infertile patients based on the SOR framework: A chain mediating effect of electronic health literacy and online health information-seeking behavior
Received date: 2026-03-11
Online published: 2026-07-14
目的 基于SOR框架,探讨不孕症患者病耻感对社交媒体社交焦虑的影响机制,明确电子健康素养与网络健康信息搜寻行为的单中介及链式中介作用,为临床心理干预提供依据。 方法 选取2023年1月至2025年8月于广东省生殖医院就诊的458例女性不孕症患者为研究对象,采用不孕症病耻感量表、网络健康信息搜寻行为量表、社交媒体用户社交焦虑量表、电子健康素养量表进行问卷调查。采用Spearman相关、线性回归、Bootstrap法(5 000次)及结构方程模型检验中介效应。 结果 (1)相关性分析显示:不孕症病耻感与网络健康信息搜寻行为(rs = -0.472,P 0.001)、电子健康素养(rs = -0.591,P 0.001)呈显著负相关;不孕症病耻感与社交媒体社交焦虑呈显著正相关(rs = 0.590,P 0.001);电子健康素养与社交媒体社交焦虑呈极强负相关(rs = -0.972,P 0.001)。(2)线性回归显示:不孕症病耻感可显著正向预测社交媒体社交焦虑(β = 0.465,P 0.001),模型R2 = 0.343,调整R2 = 0.341,F = 237.913,P 0.001。(3)单中介分析:电子健康素养中介效应显著(a*b = 0.445,95%CI:0.391 ~ 0.497,P 0.001);网络健康信息搜寻行为单中介效应显著(a*b = -0.170,95%CI:-0.210 ~ -0.132,P 0.001)。(4)链式中介分析:链式路径“病耻感→搜寻行为→电子健康素养→社交焦虑”效应显著(效应值-0.154,95%CI:-0.193 ~ -0.119,P 0.001),总间接效应0.418(95%CI:0.365 ~ 0.472),总效应0.465(P 0.001)。 结论 SOR框架下,不孕症病耻感可通过单中介(电子健康素养、网络健康信息搜寻行为)及链式中介2条路径影响社交媒体社交焦虑;电子健康素养为核心中介路径,链式路径稳定成立。临床干预应同步提升电子健康素养及规范信息搜寻行为,以缓解社交焦虑。
舒小妹 , 萧焕喜 , 谭碧燕 , 叶桂芳 , 汪丹 , 韩璐 . 基于SOR框架探讨不孕症患者社交媒体社交焦虑生成机制:电子健康素养与网络健康信息搜寻行为的链式中介效应[J]. 实用医学杂志, 2026 , 42(13) : 2462 -2470 . DOI: 10.3969/j.issn.1006-5725.2026.13.023
Objective To explore the influence of infertility-related stigma on social anxiety in the context of social media based on the SOR framework, and to verify the separate and chain mediating effects of electronic health literacy and online health information-seeking behavior, thereby providing evidence for clinical psychological intervention. Methods A total of 458 female infertile patients who were treated in a hospital from January 2023 to August 2025 were enrolled in the study. All participants completed questionnaires, which included the Infertility Stigma Scale, Online Health Information-Seeking Behavior Scale, Social Media User Social Anxiety Scale, and Electronic Health Literacy Scale. Spearman correlation analysis, linear regression, the Bootstrap method (with 5 000 iterations), and structural equation modeling were employed to test the mediating effects. Results (1) Correlation analysis demonstrated that infertility-related stigma was negatively correlated with online health information-seeking behavior (rs = -0.472, P 0.001) and electronic health literacy (rs = -0.591, P 0.001), and positively correlated with social media social anxiety (rs = 0.590, P 0.001). Electronic health literacy was strongly negatively correlated with social media social anxiety (rs = -0.972, P 0.001). (2) Linear regression indicated that infertility-related stigma significantly and positively predicted social media social anxiety (β = 0.465, P 0.001), with a model R2 of 0.343, an adjusted R2 of 0.341, and F = 237.913 (P 0.001). (3) Separate mediation analysis revealed significant mediation effects of electronic health literacy (a*b = 0.445, 95%CI: 0.391 - 0.497, P 0.001) and online health information-seeking behavior (a*b = -0.170, 95%CI: -0.210 - -0.132, P 0.001). (4) Chain mediation analysis confirmed a significant chain path: "stigma→information-seeking behavior→electronic health literacy→social anxiety" (effect value = -0.154, 95%CI: -0.193 - -0.119, P 0.001). The total indirect effect was 0.418 (95%CI: 0.365 - 0.472), and the total effect was 0.465 (P 0.001). Conclusions Under the SOR framework, infertility-related stigma influences social anxiety on social media via two pathways: separate mediation (electronic health literacy and online health information-seeking behavior) and chain mediation. Electronic health literacy serves as the core mediator, and the chain-mediating path is stably verified. Clinical interventions should concurrently enhance electronic health literacy and standardize information-seeking behavior to relieve social anxiety.
| [1] | FENG J, WU Q, LIANG Y, et al. Epidemiological characteristics of infertility, 1990-2021, and 15-year forecasts: An analysis based on the global burden of disease study 2021[J]. Reprod Heal, 2025, 22(1): 26. doi: 10.1186/s12978-025-01966-7 . |
| [2] | 王晓丽, 王焕焕, 王培红, 等. 不孕症女性及配偶二元应对和病耻感与婚姻质量的关系研究[J]. 护理学杂志, 2025, 40(11): 36-39. doi: 10.3870/j.issn.1001-4152.2025.11.036 . |
| [3] | SORMUNEN T, WESTERBOTN M, AANESEN A, et al. Social media in the infertile community-using a text analysis tool to identify the topics of discussion on the multitude of infertility blogs[J]. Womens Health (Lond), 2021, 17: 17455065211063280. doi: 10.1177/17455065211063280 . |
| [4] | NORMAN C D, SKINNER H A. eHealth literacy: Essential skills for consumer health in a networked world[J]. J Med Internet Res, 2006, 8(2): e9. doi: 10.2196/jmir.8.2.e9 . |
| [5] | JAHAN N, PADARIA R N, AISWARYA S, et al. Climate risk communication and farmers’ adaptive behaviour in the Indo-Gangetic Plains: Insights from the Stimulus-Organism-Response (S-O-R) framework[J]. Environ Sustain Indic, 2026, 30: 101141. doi: 10.1016/j.indic.2026.101141 . |
| [6] | FU B, QIN N, CHENG L, et al. Development and validation of an infertility stigma scale for Chinese women[J]. J Psychosom Res, 2015, 79(1): 69-75. doi: 10.1016/j.jpsychores.2014. 11.014 . |
| [7] | 马凯航. 农村居民健康信息搜寻行为及其影响因素研究[D]. 贵阳: 贵州民族大学, 2022. |
| [8] | 陈必忠, 张瑞敏, 张绮琳, 等. 社交媒体用户社交焦虑量表在中国大学生中的初步应用[J]. 中国临床心理学杂志, 2020, 28(6): 1190-1193, 1198. doi: 10.16128/j.cnki.1005-3611. 2020.06.023 . |
| [9] | 张舒杏, 高梦雅, 刘春花. 冠心病病人电子健康素养量表的编制及信效度检验[J]. 循证护理, 2025, 11(17): 3535-3540. doi: 10.12102/j.issn.2095-8668.2025.17.011 . |
| [10] | TANG Q, ZHOU X, WANG N, et al. Irrational parenthood cognition and infertility stigma among infertile women: A cross-sectional study in Changsha, China[J]. Heliyon, 2024, 10(15): e34428. doi: 10.1016/j.heliyon.2024.e34428 . |
| [11] | LIN Y T, WANG A W, WEI S, et al. The relationship between infertility family stigma, self-stigma and psychological well-being in female first-visit patients at a reproductive medicine center in Taiwan[J]. Health Psychol Rep, 2022, 10(2): 122-128. doi: 10.5114/hpr.2021.107335 . |
| [12] | LI J. Information avoidance in the age of COVID-19: A meta-analysis[J]. Inf Process Manag, 2023, 60(1): 103163. doi: 10.1016/j.ipm.2022.103163 . |
| [13] | SMITH C M, TANG M Y, CLARK G, et al. How do coping strategies influence fertility-related information seeking/avoidance?[J]. Hum Fertil, 2025, 28(1): 2488759. doi: 10.1080/14647273. 2025.2488759 . |
| [14] | DI NOVI C, KOVACIC M, ORSO C E. Online health information seeking behavior, healthcare access, and health status during exceptional times[J]. J Econ Behav Organ, 2024, 220: 675-690. doi: 10.1016/j.jebo.2024.02.032 . |
| [15] | WANG Z, HU Y, HUANG B, et al. Is there a relationship between online health information seeking and health anxiety? A systematic review and meta-analysis[J]. Heal Commun, 2024, 39(12): 2524-2538. doi: 10.1080/10410236.2023.2275921 . |
| [16] | KEFELI COL B, GUMUSLER BASARAN A, GENC KOSE B. The relationship between E-health literacy, health anxiety, cyberchondria, and death anxiety in university students that study in health related department[J]. J Multidiscip Healthc, 2025, 18: 1581-1595. doi: 10.2147/JMDH.S513017 . |
| [17] | JIA W, SUN M, HUANG G, et al. The indirect effects of health information seeking on health lifestyle: Health literacy matters[J]. Health Educ Behav, 2025, 52(1): 113-121. doi: 10.1177/10901981241278587 . |
| [18] | MIRZAEI A, ASLANI P, LUCA E J, et al. Predictors of health information-seeking behavior: Systematic literature review and network analysis[J]. J Med Internet Res, 2021, 23(7): e21680. doi: 10.2196/21680 . |
| [19] | JIA X, PANG Y, LIU L S. Online health information seeking behavior: A systematic review[J]. Healthcare, 2021, 9(12): 1740. doi: 10.3390/healthcare9121740 . |
| [20] | 郑素群, 黄如娜. 基于百合模型的电子健康素养干预方案在慢性肾脏病患者中的应用实践[J]. 中国公共卫生管理, 2025, 41(2): 300-304. doi: 10.19568/j.cnki.23-1318.2025. 02.0035 . |
| [21] | 余静丽, 康勉利, 罗屹惟, 等. 中青年脑卒中患者电子健康素养交互模型干预方案的构建及应用[J]. 护理学杂志, 2023, 38(24): 1-4, 14. doi: 10.3870/j.issn.1001-4152.2023.24.001 . |
| [22] | MITSUHASHI T. Effects of two-week e-learning on eHealth literacy: A randomized controlled trial of Japanese Internet users[J]. PeerJ, 2018, 6: e5251. doi: 10.7717/peerj.5251 . |
| [23] | ROH M, WON Y. Impact of online-delivered eHealth literacy intervention on eHealth literacy and health behavior outcomes among female college students during COVID-19[J]. Int J Environ Res Public Health, 2023, 20(3): 2044. doi: 10.3390/ijerph20032044 . |
| [24] | 厉锦巧, 冯国和, 张伟, 等. 电子健康素养理论及干预的研究进展[J]. 中华护理教育, 2019, 16(4): 279-283. doi: 10.3761/j.issn.1672-9234.2019.04.010 . |
| [25] | BARBATI C, MARANESI E, GIAMMARCHI C, et al. Effectiveness of eHealth literacy interventions: A systematic review and meta-analysis of experimental studies[J]. BMC Public Heal, 2025, 25(1): 288. doi: 10.1186/s12889-025-21354-x . |
| [26] | HERING A, LIEBE J D. Effectiveness of online self-learning platforms for promoting digital health literacy: A randomized controlled trial (RCT)[J]. Stud Health Technol Inform, 2025, 327: 1044-1048. doi: 10.3233/SHTI250542 . |
| [27] | ZHAO Y C, ZHAO M, SONG S. Online health information seeking behaviors among older adults: Systematic scoping review[J]. J Med Internet Res, 2022, 24(2): e34790. doi: 10.2196/34790 . |
| [28] | HAMIDZADEH A, SALEHIN S, NASERI BOORI ABADI T, et al. The effect of e-health interventions on meeting the needs of individuals with infertility: A narrative review[J]. Middle East Fertil Soc J, 2023, 28(1): 12. doi: 10.1186/s43043-023-00137-7 . |
| [29] | WANG Y, NIU Y, XU R, et al. eHealth literacy interventions: Scoping review[J]. Interact J Med Res, 2025, 14: e69640. doi:10.2196/69640 .\ |
| [30] | ZHOU X, XUE H, MEN Y, et al. Ethical challenges in proxy online health information seeking by nursing interns for patients: A qualitative interview study[J]. BMC Med Ethics, 2026, 27(1): 42. doi: 10.1186/s12910-026-01387-6 . |
/
| 〈 |
|
〉 |