健康传播中的反哺效应：代际沟通对中老年人传染病防控行为的影响研究

doi:10.3785/j.issn.1008-942X.CN.33-6000/C.2020.09.163

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Abstract The middle-aged and elderly population is one of the most vulnerable groups in the COVID-19 pandemic. Adult children provide the most important social support to the elderly, and also serve as one of the most important information sources for this group. Family communication pattern is a critical factor that affects the efficiency and the effectiveness in health communication in a family setting. Conversation orientation predicts family members' positive health attitudes and behaviors, while conformity orientation predicts health issues concealment.Based on FCP, the study examines the effects of intergenerational communication on the middle-aged and elderly's health information seeking and health behaviors in the context of the COVID-19 pandemic. Via a survey of 193 elderly people (mean age=49.18 years), the results indicate that family communication orientation (conformity/conversation orientation) is related to interpersonal discussions about COVID-19 and preventive behaviors against COVID-19. COVID-19 discussion served as a mediator between family communication orientation and negative emotions as well as preventive measures. In particular, intergenerational communication about scientific knowledge mediated the effects of family communication orientation and preventive measures; disputed communication over COVID-19 topics mediated the effects of conformity orientation on negative emotions. The reverse socialization from youth to the middle-aged and elderly can significantly enhance the middle-aged and elderly's emotional health as well as preventive behaviors, and bear important practical implications for disease prevention and health literacy enhancement among the elderly populations. The conversation orientation increases the middle-aged and elderly's health knowledge and behaviors, and strengthens the emotional bonding and mutual understanding between the elder and their children. Conformity orientation increases intergeneration differences and brings more negative emotions and unpleasant communications to the middle-aged and elder. These unpleasant family communications further contribute toward hindering their health literacy improvement for a long time.The findings enrich the horizon of intergenerational communication in health communication, provide empirical evidences for reverse socialization in the health context, and offer valuable suggestions for promoting health behaviors among the aging populations. Health intervention should consider adult children as a key stakeholder and leverage their role in promoting health behaviors among the elderly. They should be advised with strategies that facilities intergenerational health communication and health literacy enhancement. The middle-aged and elderly should be advised to cultivate conversation orientation in family communication.

Key words： health communication intergenerational communication family communication orientation COVID-19 prevention reverse socialization disease prevention for the middle-aged and elderly

Received: 16 September 2020

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	Gong Wanqi
	Guo Qin
	Jiang Li

Cite this article:

Gong Wanqi,Guo Qin,Jiang Li. The Effects of Family Communication Patterns on Middle-aged and Elderly’s Coping Behavior with Epidemic Diseases[J]. JOURNAL OF ZHEJIANG UNIVERSITY, 2021, 51(2): 42-53.

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https://www.zjujournals.com/soc/EN/10.3785/j.issn.1008-942X.CN.33-6000/C.2020.09.163 OR https://www.zjujournals.com/soc/EN/Y2021/V51/I2/42

1 健康中国行动推进委员会：《健康中国行动（2019—2030年）：总体要求、重大行动及主要指标》，《中国循环杂志》2019年第34期，第846-858页。
2 Epidemiology Working Group for NCIP Epidemic Response， Chinese Center for Disease Control and Prevention，“The epidemiological characteristics of an outbreak of 2019 novel coronavirus diseases （COVID-19） in China，” China CDC Weekly， Vol. 8， No. 2 （2020）， pp. 113-122.
3 郭磊、徐飘燃、姚菲等：《重大疫情下我国公众急性应激障碍对负性情绪的影响——社会支持的调节作用》，《西南大学学报（自然科学版）》2020年第42期，第21-30页。
4 刘永兵、田萍、陈艳莉等：《养老机构老年人健康素养与社会支持的典型相关分析》，《中国老年学杂志》2017年第37期，第726-728页。
5 刘卫东、王璐、王莉娜等：《江苏省淮安市45—69岁中老年人健康素养水平及影响因素》，《中国慢性病预防与控制》2016年第24期，第908-910页。
6 邢鹏飞、李鑫鑫：《重大疫情防控中网络舆情形成机制及引导策略研究——基于新冠肺炎疫情期间网络舆情文本的质性分析》，《情报杂志》2020年第39期，第67-74页。
7 林枫、周裕琼、李博：《同一个家庭不同的微信：大学生VS.父母的数字代沟研究》，《新闻大学》2017年第3期，第99-106页。
8 王蔚：《微信老年用户的健康信息采纳行为研究》，《国际新闻界》2020年第42期，第91-107页。
9 Jiang L. C. & Gong W.， “Counteracting indirect influence： the responses of single Chinese women to prejudicial media portrayals of single womanhood，” Chinese Journal of Communication， Vol. 9， No. 3 （2016）， pp. 215-231.
10 石名菲、李英华、刘莹钰等：《2012—2017年60—69岁老年人健康素养水平及其影响因素分析》，《中国健康教育》2019年第35期，第963-966页。
11 王梦雨、刘小蕾、郭虹等：《新型冠状病毒肺炎疫情下中老年人的心理健康状况》，《中华老年多器官疾病杂志》2020年第19期，第241-245页。
12 张铮、于伯坤、李府桂等：《微信运动使用对健康行为的影响：基于计划行为理论分析》，《新闻界》2017年第6期，第60-67页。
13 焦璨、尹菲、沈小芳等：《“老漂族”领悟社会支持对孤独感的影响——基于心理弹性、认知功能的中介作用》，《云南师范大学学报（哲学社会科学版）》2020年第52期，第80-87页。
14 Lakey B. & Cohen S.， “Social support theory and measurement，” in Cohen S.， Underwood L. G. & Gottlieb B. H. （eds.）， Social Support Measurement and Intervention： A Guide for Health and Social Scientists， Oxford：Oxford University Press， 2015， pp. 9-52.
15 Langford C. P. H.， Bowsher J. & Maloney J. P. et al.， “Social support： a conceptual analysis，” Journal of Advanced Nursing， Vol. 25， No. 1 （1997）， pp. 95-100.
16 龚婉祺、郭沁、蒋莉：《中国单身女性的困境：多元交叉的社会压力和歧视》，《浙江大学学报（人文社会科学版）》2018年第2期，第117-128页。
17 冯丽娜、陈长香、李淑杏等：《社区老年人家庭功能状况及其影响因素分析》，《现代预防医学》2014年第11期，第2012-2014页。
18 Manafo E. & Wong S.， “Exploring older adults’ health information seeking behaviors，” Journal of Nutrition Education and Behavior，Vol. 44， No. 1 （2012）， pp. 85-89．
19 Flynn K. E.， Smith M. A. & Freese J.， “When do older adults turn to the Internet for health information？ findings from the Wisconsin longitudinal study，” Journal of General Internal Medicine， Vol. 21， No. 12 （2006）， pp. 1295-1301．
20 Schrodt P.， Witt P. L. & Messersmith A. S.， “A meta-analytical review of family communication patterns and their associations with information processing， behavioral， and psychosocial outcomes，” Communication Monographs， Vol. 75， No. 3 （2008）， pp. 248-269.
21 Zhang Q.， “Family communication patterns and conflict styles in Chinese parent-child relationships，” Communication Quarterly， Vol. 55 （2007）， pp. 113-128.
22 Hays A.， Maliski R. & Warner B.， “Analyzing the effects of family communication patterns on the decision to disclose a health issue to a parent： the benefits of conversation and dangers of conformity，” Health Communication， Vol. 32， No. 7 （2017）， pp. 837-844.
23 Keating D. M.， “Conversation orientation and conformity orientation are inversely related： a meta-analysis，” Communication Research Reports， Vol. 33， No. 3 （2016）， pp. 195-206.
24 Huang L. N.， “Family communication patterns and personality characteristics，” Communication Quarterly， Vol. 47， No. 2 （1999）， pp. 230-243.
25 Shearman S. M. & Dumlao R.，“A cross-cultural comparison of family communication patterns and conflict between young adults and parents，” Journal of Family Communication， Vol. 8， No. 3 （2008）， pp. 186-211.
26 Hesse C. & Rauscher E. A.， “The relationship between family communication patterns and child vaccination intentions，” Communication Research Reports， Vol. 33， No. 1 （2016）， pp. 61-67.
27 Baiocchi-Wagner E. A. & Talley A. E.， “The role of family communication in individual health attitudes and behaviors concerning diet and physical activity，” Health Communication， Vol. 28， No. 2 （2013）， pp. 193-205.
28 张硕：《中国城市老年人电脑/互联网使用影响因素研究：基于北京市朝阳区的调查》，《国际新闻界》2013年第35期，第51-61页。
29 朱姝蓓、邓小昭：《老年人网络健康信息查寻行为影响因素研究》，《图书情报工作》2015年第59期，第60-67页。
30 周裕琼：《数字弱势群体的崛起：老年人微信采纳与使用影响因素研究》，《新闻与传播研究》2018年第25期，第66-86页。
31 Koesten J.， Schrodt P. & Ford D.， “Cognitive flexibility as a mediator of family communication environments and young adults’ well-being，” Health Communication， Vol. 24 （2009）， pp. 82-94.
32 McKay M. M.， Chasse K. T. & Paikoff R. et al.， “Family-level impact of the CHAMP Family Program： a community collaborative effort to support urban families and reduce youth HIV risk exposure，” Family Process， Vol. 43， No. 1 （2004）， pp. 79-93.
33 Widman L.， Noar S. M. & Choukas-Bradley S. et al.， “Adolescent sexual health communication and condom use： a meta-analysis，” Health Psychology， Vol. 33， No. 10 （2014）， pp. 1113-1124.
34 Ritchie L. D. & Fitzpatrick M. A.， “Family communication patterns： measuring intrapersonal perceptions of interpersonal relationships，” Communication Research， Vol. 17， No. 4 （1990）， pp. 523-544.
35 Watson D.， Clark L. A. & Tellegen A.， “Development and validation of brief measures of positive and negative affect： the PANAS scales，” Journal of Personality and Social Psychology， Vol. 54 （1988）， pp. 1063-1070.
36 Kenny D. A.， “Measuring model fit retrieved，” http：//davidakenny.net/cm/fit.htm， 2020-09-16.
37 Gaskin J. & Lim J.， “Indirect effects AMOS plugin，” http：//statwiki kolobkreations com/index php， 2020-09-16.