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The dyadic effects of social support on anxiety among family members during COVID-19: The mediating role of perceived family resilience

Published online by Cambridge University Press:  17 May 2023

Li Feng
Affiliation:
School of Psychology, Nanjing Normal University, Nanjing, China
Jingyan Feng
Affiliation:
School of Psychology, Nanjing Normal University, Nanjing, China
Xiaohui Li
Affiliation:
School of Family and Consumer Sciences, Northern Illinois University, DeKalb, USA
Yuanyuan An*
Affiliation:
School of Psychology, Nanjing Normal University, Nanjing, China
*
Corresponding author: Yuanyuan AN, email: [email protected]
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Abstract

Families have been suffering from huge financial loss and psychological distress due to the COVID-19 pandemic. Most existing studies investigated the protective factors for anxiety at the individual level, while understandings from the perspective of family dyadic level were left unknown. Considering that social support could serve as a protective factor to reduce anxiety both at individual level and at dyadic level, the present study adopted dyadic data analysis approach to tackle this puzzle. In total, 2512 Chinese parent–adolescent dyads completed a survey with scales of anxiety, social support, and perceived family resilience on July 31 and August 1 of 2021. Results showed that: (1) adolescents’ perceived social support had significant actor and partner effects on their own and parents’ anxiety, whereas parents’ perceived social support only had a significant actor effect on their own anxiety and (2) the actor mediating effects of social support on anxiety via one’s own perceived family resilience were found in both adolescents and parents, and a partner mediating effect of adolescents’ social support was significantly associated with parents’ anxiety through parents’ perceived family resilience. Findings emphasize that interventions aiming at increasing adolescents’ support resources could generate a significant effect on reducing anxiety.

Type
Regular Article
Copyright
© The Author(s), 2023. Published by Cambridge University Press

Introduction

The COVID-19 pandemic, as a major public health emergency with the fast transmission speed, the wide scope of infection, and the great difficulty in prevention and control (The State Council Information Office, 2020), exacerbated economic hardship, societal dysfunction, and health challenges for a vast majority of individuals and their families in China. The economic downturn and high unemployment rate brought financial burdens for families; home schooling and remote learning intensified difficulties in students’ academic studies; and home isolation amplified emotional problems and family conflicts (Lian & Yoon, Reference Lian and Yoon2020). What’s more, the maladaptation in families resulted from the COVID-19 pandemic caused long-term sequelae among family members and triggered various mental health issues, such as anxiety, sleep disorders, loneliness, depression, and so on (Bartek et al., Reference Bartek, Peck, Garzon and VanCleve2021).

Anxiety is one of the most common sufferings during the pandemic. A recent systematic review published in The Lancet found that after the outbreak of the COVID-19 pandemic, the global prevalence of anxiety disorders in 2020 was 3,824.9 per 100,000 population (i.e. 298 million people) and 4,802.4 (i.e. 374 million people) after adjustment (Santomauro et al., Reference Santomauro, Mantilla Herrera, Shadid, Zheng, Ashbaugh, Pigott, Abbafati, Adolph, Amlag, Aravkin, Bang-Jensen, Bertolacci, Bloom, Castro, Chakrabati, Chattopadhyay, Cogen, Collins, Dai and Ferrari2021). Severe anxiety symptoms disrupt individual’s daily functionality consequently not only were one’s physical and mental health struggling but also their financial burden increased. At the same time, people may struggle with interpersonal relationships as well as lack of adaptation while facing adversity. Considering the high prevalence of anxiety during the COVID-19 pandemic and its significant and negative impacts on people’s lives in every aspects, it’s more important to explore what may buffer the negative effects caused by anxiety compared to identifying what caused anxiety. Examining the protective factors of anxiety will help to identify key elements clinicians should work onto implement more effective interventions under the COVID-19 pandemic. Previous studies focusing on the internal coping resources of individuals, examined how individuals’ resilience and positive coping strategies acted on the outcomes of mental health (i.e. anxiety and depression) after experiencing adverse events (Hu et al., Reference Hu, Zhang and Wang2015; Kurimay et al., Reference Kurimay, Pope-Rhodius and Kondric2017; Rourke et al., Reference Rourke, E., Halpern and Vaysman2020). Previous studies focusing on the external coping resources of individuals found that these type of resources were more helpful for individuals and families to cope with dilemmas. However, social support, as the vital external resources, was found to be more beneficial and effective in promoting adaptation and relieving anxiety problems in a study on college students during COVID-19 (Szkody et al., Reference Szkody, Stearns, Stanhope and McKinney2021).

Anxiety in families

Both internal and external dyadic interactions may trigger the occurrence of anxiety and its maintenance, but little is known about the dyadic and reciprocal transmission of anxiety between parents and adolescents (Black et al., Reference Black, Evans, Aaron, Brabham and Kaplan2021; Hanetz Gamliel et al., Reference Hanetz Gamliel, Dollberg and Levy2018). Several studies have shown that in a closed relationship, it is common to see the dyadic phenomenon in which one person’s mindset increases or reduces distress or has positive effects in another person (Rusbult & Van Lange, Reference Rusbult and Van Lange2003). For the dyadic relationship like parent–adolescent, family process in particular provides an important context for understanding the effective factors of decreasing anxiety (Kaye et al., Reference Kaye, Frith and Vosloo2015). A number of investigations have examined the role of broad risk factors in parent–adolescent dyads. Research supports that both emerging adult children and their parents who perceived higher parent–child relationship satisfaction had partners with lower levels of depressive and anxiety symptoms (Hong et al., Reference Hong, Cui, Ledermann and Love2021). Moreover, findings from a study using the dyadic modeling suggested the intra-individual and inter-individual associations between displays of negative facial affect and social anxiety symptoms among parent–adolescent dyads (Woody et al., Reference Woody, Kaurin, McKone, Ladouceur and Silk2022).However, few studies have explored the protective factors such as resilience and social support, and how they play a role on decreasing anxiety in parent–adolescent dyads. Therefore, based on the positive outlook (Obeldobel & Kerns, Reference Obeldobel and Kerns2021) and the family systems perspective (Hughes & Gullone, Reference Hughes and Gullone2008), the current study explored the protective factors influencing anxiety and its possible mechanisms at both individual and dyadic levels.

The relationship between social support and anxiety

Supportive relationships were widely recognized as an essential element to mental health. Evidence from a 75-year follow-up study titled the Harvard Study of Adult Development found that individuals who had more social connections with family, friends, and community were more likely to have happier and healthier lives (Waldinger, Reference Waldinger2015). The stress-buffering model of social support (Cohen & Wills, Reference Cohen and Wills1985) suggested that the support from significant others could buffer the negative effects of stressful events on individual’s physical and mental health (e.g. anxiety) and helped to maintain a positive state of physical and mental health of an individual. The latest theory of the conceptual framework for thriving through relationships stated that supportive relationships promoted recipients’ long-term psychological well-being by influencing their emotions, self-evaluations, appraisals, and motivations (Brewer et al., Reference Brewer, Cantor and Kerr2015). As broadly defined, social support was referred to the emotional and material support from others (i.e. family members, friends,v and health care workers), and with the support, people feel being cared for, loved, respected, and valued (Ao et al., Reference Ao, Zhu, Meng, Wang, Ye, Yang, Dong and Martek2020). Furthermore, supportive relationships may promote awareness disclosure, and emotional sharing, and lead to an overall decrease in the intensity, persistence, and frequency of emotional arousal caused by adversities (Weinberg et al., Reference Weinberg, Besser, Zeigler-Hill and Neria2016; Ye et al., Reference Ye, Zheng, Sun, Zhou and Deng2016). Several studies reported that social support could relieve people’s (e.g., doctors, patients) anxiety level and was positively associated with their mental health during stressful life events (Ratajska et al., Reference Ratajska, Glanz, Chitnis, Weiner and Healy2020; Xiao et al., Reference Xiao, Zhang, Kong, Li and Yang2020), correspondingly affected people’s psychological condition and led to psychological recovery after disasters (Ao et al., Reference Ao, Zhu, Meng, Wang, Ye, Yang, Dong and Martek2020). An empirical study of 736 Chinese people during the early stage of the COVID-19 pandemic showed that individuals with higher levels of social support were able to better withstand the negative effects of psychological stimuli, and the social support facilitated psychological recovery after disasters, such as reducing people’s anxiety levels under the COVID-19 pandemic (Ao et al., Reference Ao, Zhu, Meng, Wang, Ye, Yang, Dong and Martek2020).

Therefore, social support may be an effective factor to promote psychological health and to decrease anxiety symptoms. However, only a few cross-sectional studies have been conducted directly on the relationship between social support and anxiety during the pandemic, and the mediating process between social support and anxiety symptoms remains unclear. Considering that the prevention measures taken during the pandemic like home isolation, which results in adults and adolescents spending more time with their family members, family members are more likely to use their own social support resources within the family system to enhance their family’s overall strengths and to cope with the adversities due to the pandemic, such as decreasing the individual’s maladaptation like anxiety.

Social support, perceived family resilience, and anxiety at the individual level

Family resilience refers to the ongoing capacity of the family, as a functional system, to withstand and rebound from stressful life challenges and emerging strengthened and more resourceful (Walsh, Reference Walsh2003, Reference Walsh2016), and perceived family resilience was defined as one’s perception of this capacity (Ungar, Reference Ungar2011; Walsh, Reference Walsh2015; Yang et al., Reference Yang, Feldman and Li2021). One study of 89 dyads (parents and adolescents) who were exposed to rocket attacks found that youth who believed their family to be resilient suffered less anxiety in the face of security tensions (Finklestein et al., Reference Finklestein, Pagorek-Eshel and Laufer2020). Several empirical studies also proved the significant association between family resilience and mental health during the COVID-19 pandemic (Eales et al., Reference Eales, Ferguson, Gillespie, Smoyer and Carlson2021; Zhuo et al., Reference Zhuo, Yu and Shi2022). In the key processes in family resilience framework, Walsh (Reference Walsh2016) identified three dimensions that facilitate family resilience included belief systems, organizational processes, and communication/problem-solving processes (Walsh, Reference Walsh2016), which indicated that, the family and social network, played a buffer role during adversities, and family must be able to mobilize and organize the resources (i.e. social connectedness, economic resources) of family member to cope with stress, and reorganize the organization according to some specific situation to effectively deal with crises or adversities. Consistent with this framework, research supported a positive association between social support and family resilience among foster parents (Piel et al., Reference Piel, Geiger, Julien-Chinn and Lietz2017) and patients in the intensive care unit (Wong et al., Reference Wong, Liamputtong, Koch and Rawson2019). According to these findings, we think that family resilience may serve as a potential mediator to explain the association between social support and anxiety among family members.

Social support, perceived family resilience, and anxiety at the dyadic level

It is unknown, however, at the dyadic level, how social support as a resource of multiple systems acts on family members’ perceived family resilience and consequently affects their psychological health. Both the ecological theory (Bronfenbrenner, Reference Bronfenbrenner1979) and family systems theory (Broderick, Reference Broderick1993) emphasized that individuals were interdependent in any environments. Therefore, individuals in each family environment actually had their own unique sources and social support, and the situation was very likely to affect the family microenvironment and the mental health of the members while facing difficult circumstances. A longitudinal study of 687 two-parent households also showed that family processes had a large impact on children’s social anxiety through economically or socially disadvantaged conditions, and the supportive family relationships may buffer the effects of environmental stress on children (Mak et al., Reference Mak, Fosco and Feinberg2018). A few previous studies demonstrated that parents’ social support had influence on adolescents’ anxiety, but failed to see the influence of adolescents on their parents as it is also an important part of the family systems (Skinner et al., Reference Skinner, Godwin, Alampay, Lansford, Bacchini, Bornstein, Deater-Deckard, Di Giunta, Dodge, Gurdal, Pastorelli, Sorbring, Steinberg, Tapanya and Yotanyamaneewong2021; Withers et al., Reference Withers, Cooper, Rayburn and McWey2016). Therefore, the current study hypothesized that not only parents’ social support could be beneficial to relieve adolescents’ anxiety but also adolescents’ social support could be conducive to alleviating parents’ anxiety.

In addition, family resilience as a potential mechanism through which social support predicts anxiety at the individual level, could also be a dyadic mediator at the interpersonal level. That is, family resilience may serve as a potential pathway for parents and adolescents to influence each other, thereby ultimately generating a positive cycle through which they adapt together successfully during adversity. For example, a supportive and intimate dyadic relationship provides a positive environment for adolescents to learn coping skills to deal with stressful life events (West et al., Reference West, Buettner, Stewart, Foster and Usher2012). Additionally, family members with high level of social support may reinforce each other’s feelings of competence and family resilience, thus encouraging each other to cope with challenges and relieve anxiety effectively. Therefore, family resilience may be a potential mechanism through which the dyadic effects of social support on anxiety are transmitted in parent-adolescent dyads.

Dyadic analysis in parent–adolescent dyads

Therefore, data collection from parent–adolescent dyads and the analyses of dyadic data could help with examining whether individuals are influenced by others and themselves, which could provide a more comprehensive picture for the health interventions. The actor–partner interdependence model (APIM; Cook & Kenny, Reference Cook and Kenny2005) was an ideal method to analyze dyadic data from family. To further explore the mechanism, the actor–partner interdependence mediation model or APIMeM (Ledermann & Bodenmann, Reference Ledermann and Bodenmann2006) was also adopted. Both APIM and APIMeM have been widely used in family research on intimate and parent–adolescent relationship in recent years (Harvey et al., Reference Harvey, Crowley and Woszidlo2019; Pagorek-Eshel & Finklestein, Reference Pagorek-Eshel and Finklestein2019; Qu et al., Reference Qu, Huang, Kouros and Yu2021). In the current study, APIMeM was used to test associations between parents’ and adolescents’ social support via family resilience on their own anxiety (actor effects), as well as on each other’s anxiety (partner effects) (i.e., family resilience as a mediator). Because trauma exposure and media exposure during the pandemic were likely confounded with outcomes among parents and adolescents, we controlled for them in models, providing a more robust test of the extent to which social support predicts anxiety.

The current study

The purpose of the current study was to investigate whether and how parents’ and adolescents’ social support was associated with their own and each other’s anxiety through the mediation of their family resilience during COVID-19 by adopting a dyadic approach using APIMeM. In all models, we expected that higher levels of social support would be associated with greater family resilience, which would be associated with lower levels of anxiety at the individual and the dyadic level.

Method

Participants and procedure

Participants in this study were 2512 adolescents and their parents, and they were recruited from Nanjing, Jiangsu province, China. On average, adolescents were 13.85 years old (SD = 2.56; N = 2398; range: 8–21 years), and 72.1% were the only-child in their family. Of these 2398 adolescents who report their age, 2.25% (N = 54) were 8–9 years old, 23.73% (N = 569) were 10–11 years old, 39.20% (N = 940) were 12–15 years old, 34.57% (N = 829) were 16–18 years old, and 0.25% (N = 6) were over 18 years old. Thirty percent (N = 841) of adolescents were in upper grades of primary school, 32% (N = 806) were in secondary school, and 34% (N = 865) were in high school. Only one parent from each adolescent was asked to complete the questionnaire. And parents, on average, were 41.91 years old (SD = 4.64; N = 2169; range: 27-65 years). Approximately 75.8% were mothers. Data collection occurred on July 31 and August 1, 2021. From July 20 to August 2, 2021, the COVID-19 outbreak rebound in Nanjing, and the local government had implemented quarantine measures to protect the public health so that adolescents and their parents in this study were quarantined at home when they were completing the questionnaire, which was a self-administered questionnaire on an online survey platform. Both the adolescent and parent questionnaires were filled by themselves independently. If there were questions in the questionnaire that the younger adolescent could not understand, the parents helped to ensure they understood before the adolescent filled that question out. As a fair compensation for the time spent in this study, a free lecture of mental health was provided to each participant who completed the questionnaire. Ethics approval of this study was granted by the Ethics Committees of the authors’ institution and before investigation we obtained the informed consents from both parents and their children.

Measures

The self-rating anxiety scale (SAS)

Adolescent’s and their parent’s anxiety symptoms were measured using the Chinese version of Zung Self-rating Anxiety Scale (SAS; Zung, Reference Zung1971). The scale consisted of 20 self-report items assessing both psychological and somatic symptoms of anxiety. Participants rated each item based on their experiences within the past week using a 4-point Likert scales ranging from 1 (“none or a little of the time”) to 4 (“most or all of the time”). Total raw scores range from 20 to 80. The standard score was the integer part after the raw score multiplying by 1.25, and higher standard scores indicated higher levels of anxiety. According to the results of the Chinese norm, the cut-offs score of anxiety is 50, 50–59 suggested mild anxiety, 60–69 suggested moderate anxiety, and 69 and above suggested severe anxiety. In the present study, the Cronbach’s α of the scale was 0.846 for adolescents and 0.82 for their parents.

Social support rating scale (SSRS)

Social support was assessed using a revised scale based on Furman & Buhrmester’s (Reference Furman and Buhrmester1992) Network of Relationships Inventory. This scale included five factors: emotional support, instrumental support, companionship, intimacy, and enhancement of worth. There were 20 items which rated on a 5-point Likert scale ranging from 0 (not at all) to 4 (always). This scale demonstrated good psychometric properties among Chinese people. In the present study, the Cronbach’s α of the scale was 0.975 for adolescents and 0.971 for their parents.

The Chinese version of the family resilience assessment scale (FRAS-CR)

Family resilience was measured with the Chinese version of the Family Resilience Assessment Scale (FRAS-CR) compiled by Sixbey (Reference Sixbey2005) and revised by An et al. (Reference An, Cheng, Yue and Yuan2022). There were 40 items in this scale, including four dimensions: family communication and problem solving (FCPS); maintaining a positive outlook (MPO); family connectedness (FC); utilizing social and economic resources (UESR). Items were rated on a 4-point Likert scale, ranging from 1 (strongly disagree) to 4(strongly agree). Higher scores indicated higher levels of family resilience. This scale demonstrated good psychometric properties among Chinese people. In this study, Cronbach’s α between parents and adolescents was 0.987 and 0.988, respectively.

Media exposure

Media exposure related to pandemic was measured with the questionnaire designed by He et al. (Reference He, Li, Zhao and An2021). Four items were used to assess severity of exposure to the COVID-19 pandemic in parents and adolescents respectively. The first two questions asked adolescents and parents how much attention and time they spent on media reports during the COVID-19 pandemic, where 1 indicating the lowest level and 5 indicating the highest. The last two focus on the individual’s perception of the extent and amount of the media report about the COVID-19 pandemic, with 1 indicating very insufficient and 5 indicating too much. Higher score indicated higher level of media exposure related to COVID-19.

Trauma exposure

Trauma exposure related to pandemic was revised from Wu et al. (Reference Wu, Zhang, Lin and Zang2013) trauma exposure questionnaire which was originally measure the severity of the survivors’ exposure to traumatic events. To measure trauma exposure of the COVID-19 pandemic, the questionnaire consisted of 18 items, included objective trauma exposure (asked participants to indicate whether they had someone working on the front line/gotten infected of the pandemic of themselves, family members, households and friends, teachers and classmates/co-workers, neighborhoods, and others) and subjective trauma exposure (asked participants whether worried about getting infected since the outbreak of themselves, family members, households, and friends, teachers and classmates/co-workers, neighborhoods, and others). Each item was rated on a two-point scale, where 1 represented “yes” and 0 represented “no”. Higher score indicated higher level of trauma exposure of the COVID-19 pandemic.

Demographic information

Demographic information collected among adolescents included age, phase of education, whether only child or not, and subjective socioeconomic status. For parents it included their age, gender, and subjective socioeconomic status.

Analysis plan

Analyses were performed using SPSS version 25 and Mplus 7.0. Path analyses with maximum likelihood estimation were conducted. Person correlations were used to examine the extent to which adolescents’ and their parents’ social support, as well as whether their anxiety and perceived family resilience were congruent. As a preliminary analysis, an omnibus test of indistinguishability was conducted to determine whether empirical differences existed between adolescents and their parents. A nonsignificant chi-square value provided evidence of indistinguishability, whereas a significant chi-square value provided evidence for distinguishable dyads.

Next, actor and partner effects of social support on anxiety were tested using an actor-partner interdependence model (Cook & Kenny, Reference Cook and Kenny2005; Kenny et al., Reference Kenny, Kashy and Cook2006). The proposed dyadic indirect effect of perceived family resilience was examined using the actor-partner interdependence mediation model (Ledermann et al., Reference Ledermann, Macho and Kenny2011). The significance of the mediation effect was tested by bootstrapping the 95% confidence interval of the indirect effect with 5,000 repetitions. Because the APIM and APIMeM for distinguishable dyad members were recursive and fully saturated models, therefore, no model fit statistics are presented (Cook & Kenny, Reference Cook and Kenny2005; Ledermann & Bodenmann, Reference Ledermann, Macho and Kenny2011; Qu et al., Reference Qu, Huang, Kouros and Yu2021). A 95% confidence interval without zero provided evidence for a significant indirect effect.

Results

Except adolescents’ educational stages did differ significantly in scores for anxiety [F (2509) = 32.47, p < 001], social support [F (2509) = 39.75, p < 001] and perceived family resilience [F (2509) = 43.62, p < 001], there were no significance in other demographic factors. The post hoc test results showed that adolescents in high school had significantly lower social support scores and perceived family resilience scores, and higher anxiety scores compared to the adolescents in primary and secondary school; adolescents of the secondary school had significantly lower social support scores than that of primary school. Bivariate correlations among the variables are presented in Table 1. The adolescents’ social support was negatively associated with their own anxiety (r = −0.42, p < 0.01) and parents’ anxiety (r = −0.27, p < 0.001). There was also a significant correlation between the parents’ social support and their own anxiety (r = −0.26, p < 0.01) and adolescents’ anxiety (r = −0.15, p < 0.01).

Table 1. Descriptive statistics and bivariate correlations in variables: adolescents and parents (N = 2512)

*p < 0.05, **p < 0.01, ***p < 0.001.

The omnibus test of distinguishability was significant, x 2 (12) = 70.581, p < 0.001, providing evidence that the parent–adolescent dyads were empirically distinguishable, and supported testing separate actor and partner effects for each dyad member. Next, we controlled for trauma exposure related to the pandemic in the models for the APIM and APIMeM, because they might reflect the level of anxiety symptoms.

Table 2 and Figure 1 present the path estimates of the APIM. There was a significant negative actor effect at the individual level, which parents’ and adolescents’ social support significantly affected their own anxiety (for parents: β = −0.18, p < 0.001; for adolescents: β = −0.42, p < 0.001). At the dyadic level, there was only negative and significant partner effect of adolescents’ social support on parents’ anxiety (β = −0.20, p < 0.001). To further examine whether there were significant differences among the adolescents’ actor effect, adolescents’ partner effect and parent’s actor effect, each two standardized coefficients constrained equal and compared using chi-square test for the constrained and unconstrained models. There were significant differences between adolescents’ actor effect and parent’s actor effect (x 2 = 64.03, p < 0.001), adolescents’ actor effect and adolescents’ partner effect (x 2 = 170.92, p < 0.001), and adolescents’ partner effect and parent’s actor effect (x 2 = 68.58, p < 0.001).

Figure 1. APIM testing dyadic associations between adolescents’ and parents’ social support and anxiety. Note. Unstandardized coefficients are presented. Solid lines represent significant pathways, and dashed lines represented nonsignificant pathways. Model controlled for trauma exposure of adolescents and parents. ***p < 0.001.

Table 2. Total, direct, and indirect effects in the actor–partner interdependence mediation model

Note. Values of indirect effect estimates presented in bold are significant at p < 0.05. IE = indirect effect; SE = standard error; CI = confidence interval. Model controlled for trauma exposure of adolescents and parents.

Regarding the indirect effects of the APIMeM, as reported in Table 2 and Figure 2, the perceived family resilience of adolescents and parents significantly mediated the actor effect between social support and anxiety (for adolescents: β = −0.165, SE = 0.015, 95% CI = −0.191, −0.139; for parents: β = −0.120, SE = 0.010, 95% CI = −0.136, −0.103). And at the dyadic level, the adolescents’ social support was associated with their parents’ anxiety through the partial mediating effect of the parents’ perceived family resilience (β = −0.069, SE = 0.008, 95% CI = −0.083, −0.056).

Figure 2. The actor–partner interdependence mediation model results for social support, perceived family resilience, and anxiety. Note. Unstandardized parameter estimates are presented. Solid lines represent significant pathways, and dashed lines represented nonsignificant pathways. Model controlled for trauma exposure of children and parents. *p < 0.05, **p < 0.01, ***p < 0.001.

Discussion

The current study adopted the APIM and APIMeM to investigate dyadic effects of social support on anxiety and the potential mediating mechanism of perceived family resilience within adolescents and parents during the COVID-19 pandemic. And the findings showed that adolescents’ social support had significant actor effect and partner effect on their own and their parents’ anxiety, whereas parents’ social support only had a significant actor effect on their own anxiety. What’s more, the findings indicated mediating actor effects of social support on anxiety via one’s own perceived family resilience in both adolescents and parents and a significant partner mediating effect of adolescents’ social support on parents’ anxiety through parents’ perceived family resilience. Notably, these findings remain significant when controlling for trauma exposure during the COVID-19 pandemic.

Plenty studies had confirmed the significant association between social support and mental health, while this study further verified that perceived social support acted as a buffer for anxiety both for adolescents and parents. Our findings were in line with several previous studies that found social support had a strong influence on anxiety in adults (Khoury et al., Reference Khoury, Atkinson, Bennett, Jack and Gonzalez2021; Lebel et al., Reference Lebel, MacKinnon, Bagshawe, Tomfohr-Madsen and Giesbrecht2020; Nie et al., Reference Nie, Su, Zhang, Guan and Li2020). A study investigating 7143 college students in China during the COVID-19 outbreak by using structured questionnaires found that social support was negatively correlated with anxiety, which suggesting that effective and robust social support is necessary during public health emergencies (Cao et al., Reference Cao, Fang, Hou, Han, Xu, Dong and Zheng2020). Prior research on the linkage between social support and anxiety had rarely focused on children or adolescents during the COVID-19 pandemic (Magson et al., Reference Magson, Freeman, Rapee, Richardson, Oar and Fardouly2021; Qi et al., Reference Qi, Zhou, Guo, Zhang, Min, Li and Chen2020). To extending the work in this field, this study found that adolescents’ perceived social support was negatively and significantly associated with their anxiety, even higher than that of their parents. Adolescents were also facing many unprecedented uncertainties and stressful events during the pandemic, and they urgently needed to mobilize positive resources to deal with such a dilemma. Adolescents could perceive social support, especially from their parents, and had the ability to use these support resources to cope with anxiety. Moreover, because adolescents were not mature enough in their thinking or emotion regulations which relied more on important others, social support had a greater impact on psychological distress for adolescents.

In addition to the actor effect of social support on anxiety at the individual level, there was a significant negative correlation between adolescents’ social support level and parents’ anxiety level; in contrast, parents’ social support showed no prime partner effect on their adolescents’ anxiety. Remarkably, the lack of partner effects from parents to adolescents was not in accordance with our hypothesis. This finding could be well explained from the perspective of child effect that most family lived around with the center of their children (Fu, Reference Fu2015), that is the social adaptation and development of children always be one of the greatest factors affecting parents’ stress and anxiety. The child effect was even more pronounced during COVID-19, when parents spent more time with their children, communicated more with them, and paid more attention to their children’s health (Nicolì et al., Reference Nicolì, Spinelli, Lionetti, Logrieco and Fasolo2022). A study of parent–child dynamics during initial COVID-19 related school closures by using cross-sectional analyses of a survey that utilized a convenience sampling approach found that more than one-third (34.7%) of parents said their child’s behavior had changed since the pandemic, including being sad, depressed, and lonely, and most parents were spending more time involved in daily caregiving of their children since the COVID-19 (Lee et al., Reference Lee, Ward, Chang and Downing2021). Further, when adolescents perceived the high level of company and social support, it often signified a more positive psychological developmental competence and quality, at least in the eyes of their parents, which could greatly reduce worried and anxiety about their adolescents.

However, the relationship did not apply to parents’ social support to their adolescents’ anxiety. This could be explained that most of the children in this study were adolescents, and at this stage of their life their anxiety could come from other aspects besides from their parents, such as academic performance and peer interaction. Thus, the social support of parents didn’t make such enormous influence on their adolescents’ anxiety. This finding was consistent with findings from the study of Browne et al. (Reference Browne, Wade, May, Jenkins and Prime2021). They evaluated multilevel, longitudinal associations between the COVID-19 disruption, family relationships, and caregiver/child mental health using a parent–adolescent comparison and observed evidence of child effects at the between-family level, but could not observe caregiver-driven pathways (i.e., effects linking earlier caregiver distress to later child psychopathology) (Browne et al., Reference Browne, Wade, May, Jenkins and Prime2021).

What’s more, the current study also shed light on a possible mechanism linking social support to anxiety for both parents and adolescents during the pandemic outbreak. That is the remarkable mediating effects via perceived family resilience in the association between social support and anxiety at the individual levels which were found in both adolescents and parents, and these effects were after controlling for trauma and media exposure related to the COVID-19 pandemic. Adolescents’ and parents’ perceived social support from peers, friends, or communities, which would increase the resilience of the whole family and thus help reduce individual anxiety. For example, maintaining a positive outlook could alleviate anxiety. Sharing positive emotions and perspectives could support family members to temporarily withdraw from the numbness and emotional indifference of the epidemic, re-examine family and relationships, and gain spiritual vitality. This perspective was also in conjunction with a previous study that had found higher family-level positive outlook magnified the negative relationship between pandemic-related stressors and anxiety symptoms in Hong Kong (Chan et al., Reference Chan, Piehler and Ho2021). Moreover, utilizing social connectedness and community resources make a vital importance to individual anxiety. Especially for these families who experienced many complex and traumatic losses caused by the COVID-19 pandemic, mobilizing relational resources could challenge the social distancing restrictions and this was crucial to build family and community resource teams, which could be better ways to understand grief, loss, and resilience (Walsh, Reference Walsh2020). From this study, the results confirmed that during the pandemic outbreak the social support accelerated one’s strength and resources to positive coping with adversities that boosted family adaptation and improved their perceived family resilience, consequently resulted in relieving their levels of anxiety.

The partner mediating effect indicated that adolescents’ social support was positively associated with their parents’ perceived family resilience, which also alleviated parents’ anxiety. This partner mediating effect showed that adolescents’ social support had a significant correlation with parental anxiety. Family is the system that provides highly supportive relationships. In the face of adversity, family members would influence each other, and the relationships among individual family members are the most important part of the family’s function. Especially during the pandemic, the whole family was under pressure from many aspects, and parents, as the backbone of the family, had a more realistic, comprehensive and sensitive perception of all aspects of the family and their changes. Due to the limitation of adolescents’ physical, cognitive, and emotional development stage, coupled with their natural disadvantaged position in the family, adolescents’ perception of family was relatively simple, more concerned with themselves and easy to ignore their parents. In other words, parents were more acutely aware of changes in the other person’s perceived level of social support than adolescents. Therefore, in response to the enormous pressures of the pandemic, the sources of perceived family resilience in parents included both parents’ own social support and the perceived social support of their adolescents, further alleviated parents’ anxiety.

Strengths and limitations

This study had notable strengths. First, the self-reported data were from both the parent and the adolescents which could effectively reduce information bias. Second, the current study was the first study which adopted a large sample to examine the bidirectional relationships between parents’ and adolescents’ social support on their anxiety and the potential effects of perceived family resilience among them. Thirdly, this study focused on family-level coping resources and implications under the context of the COVID-19 pandemic.

It should be noted that our study has some limitations. First, this study was correlational and cross-sectional thus may not draw any causal conclusions, and the lack of pre-pandemic data further limited the persuasiveness of the results. Future studies should adopt longitudinal design between variables to test the mediating role of perceived family resilience over time. Second, this study investigated perceived social support of parents and adolescents that may decrease their levels of anxiety; however, others within the family (e.g., life events or number of family members) may also affect perceived family resilience and anxiety during the pandemic.

Implications

These findings had implications for improving existing interventions, especially current programs targeting positive adaptation of families during the COVID-19 pandemic. Our findings indicated that whether parents or adolescents, their perceived social support can alleviate anxiety via perceived family resilience, while adolescents’ perceived social support can alleviate parents’ anxiety through parents’ perceived family resilience. Therefore, in terms of improving social support, we suggest that the government and community institutions should provide effective materials, medical and psychological counseling services for each family during the pandemic to enhance the social support perceived by family members. School departments should also organize online mutual aid activities to improve adolescents’ sense of social support through teacher–student and peer interaction. In terms of improving perceived family resilience, we suggest parents to actively communicate with their children, cultivate positive beliefs, enhance the overall sense of family connection, and teach adolescents to solve problems with social resources to enhance the adolescents’ perceived family resilience, especially their own.

Acknowledgements

All the authors are grateful to the 2512 families for their cooperation, as well as the assistants who helped promote and recruit participants during the study.

Funding statement

This research was supported by The National Social Science Fund of China under Grant (grant number 20CSH068) and Postgraduate Research & Practice Innovation Program of Jiangsu Province (grant number 1812000024866).

Conflicts of interest

None.

References

An, Y., Cheng, X., Yue, J., & Yuan, G. (2022). A psychometric study of the Revised Chinese Version of the Family Resilience Assessment Scale among disadvantaged children. Health and Quality of Life Outcomes, Manuscript submitted for publication.Google Scholar
Ao, Y., Zhu, H., Meng, F., Wang, Y., Ye, G., Yang, L., Dong, N., & Martek, I. (2020). The impact of social support on public anxiety amidst the COVID-19 pandemic in China. International Journal of Environmental Research and Public Health, 17(23), 9097. https://doi.org/10.3390/ijerph17239097 CrossRefGoogle ScholarPubMed
Bartek, N., Peck, J. L., Garzon, D., & VanCleve, S. (2021). Addressing the clinical impact of COVID-19 on pediatric mental health. Journal of Pediatric Health Care, 35(4), 377386. https://doi.org/10.1016/j.pedhc.2021.03.006 CrossRefGoogle ScholarPubMed
Black, S. R., Evans, M. L., Aaron, L., Brabham, D. R., & Kaplan, R. M. (2021). Covariance between parent and child symptoms before and during the COVID-19 pandemic. Journal of Pediatric Psychology, 46(10), 11821194. https://doi.org/10.1093/jpepsy/jsab086 CrossRefGoogle ScholarPubMed
Brewer, M. B., Cantor, N., & Kerr, N. L. (2015). A new look at social support: A theoretical perspective on thriving through relationships [Editorial]. Personality and Social Psychology Review, 1(1), 2. https://doi.org/10.1177/108886831454422 CrossRefGoogle Scholar
Broderick, C. B. (1993). Understanding family process: Basics of family systems theory. Newbury Park, CA: Sage Publications Inc.Google Scholar
Bronfenbrenner, U. (1979). The ecology of human development: Experiments by nature and design. Cambridge, MA: Harvard University Press.Google Scholar
Browne, D. T., Wade, M., May, S. S., Jenkins, J. M., & Prime, H. (2021). COVID-19 disruption gets inside the family: A two-month multilevel study of family stress during the pandemic. Developmental Psychology, 57(10), 16811692. https://doi.org/10.1037/dev0001237 CrossRefGoogle Scholar
Cao, W., Fang, Z., Hou, G., Han, M., Xu, X., Dong, J., & Zheng, J. (2020). The psychological impact of the COVID-19 epidemic on college students in China. Psychiatry Research, 287, 112934. https://doi.org/10.1016/j.psychres.2020.112934 CrossRefGoogle ScholarPubMed
Chan, A. C. Y., Piehler, T. F., & Ho, G. W. K. (2021). Resilience and mental health during the COVID-19 pandemic: Findings from Minnesota and Hong Kong. Journal of Affective Disorders, 295, 771780. https://doi.org/10.1016/j.jad.2021.08.144 CrossRefGoogle ScholarPubMed
Cohen, S., & Wills, T. A. (1985). Stress, social support, and the buffering hypothesis. Psychological Bulletin, 98(2), 310357. https://doi.org/10.1037/0033-2909.98.2.310 CrossRefGoogle ScholarPubMed
Cook, W. L., & Kenny, D. A. (2005). The Actor-Partner Interdependence Model: A model of bidirectional effects in developmental studies. International Journal of Behavioral Development, 29(2), 101109. https://doi.org/10.1080/016502504440004 CrossRefGoogle Scholar
Eales, L., Ferguson, G. M., Gillespie, S., Smoyer, S., & Carlson, S. M. (2021). Family resilience and psychological distress in the COVID-19 pandemic: A mixed methods study. Developmental Psychology, 57(10), 15631581. https://doi.org/10.1037/dev0001221 CrossRefGoogle ScholarPubMed
Finklestein, M., Pagorek-Eshel, S., & Laufer, A. (2020). Adolescents’ individual resilience and its association with security threats, anxiety and family resilience. Journal of Family Studies, 1-17(3), 10231039. https://doi.org/10.1080/13229400.2020.1778504 Google Scholar
Fu, H. (2015). Ertong xinli zixun yu zhiliao [Psychological counseling and therapy for children]. Nanjing: Nanjing Normal University Press.Google Scholar
Furman, W., & Buhrmester, D. (1992). Age and sex differences in perceptions of networks of personal relationships. Children Development, 63(1), 103115. https://doi.org/10.1111/j.1467-8624.1992.tb03599.x CrossRefGoogle ScholarPubMed
Hanetz Gamliel, K., Dollberg, D. G., & Levy, S. (2018). Relations between parents’ anxiety symptoms, marital quality, and preschoolers’ externalizing and internalizing behaviors. Journal of Child and Family Studies, 27(12), 39523963. https://doi.org/10.1007/s10826-018-1212-3 CrossRefGoogle Scholar
Harvey, J., Crowley, J., & Woszidlo, A. (2019). Mindfulness, conflict strategy use, and relational satisfaction: A dyadic investigation. Mindfulness, 10(4), 749758. https://doi.org/10.1007/s12671-018-1040-y CrossRefGoogle Scholar
He, Y., Li, X. S., Zhao, J., & An, Y. (2021). Family resilience, media exposure, and children’s mental health in China during COVID-19. The Family Journal, 30(4), 110. https://doi.org/10.1177/10664807211061832 Google Scholar
Hong, P., Cui, M., Ledermann, T., & Love, H. (2021). Parent-child relationship satisfaction and psychological distress of parents and emerging adult children. Journal of Child and Family Studies, 30(4), 921931. https://doi.org/10.1007/s10826-021-01916-4 CrossRefGoogle Scholar
Hu, T., Zhang, D., & Wang, J. (2015). A meta-analysis of the trait resilience and mental health. Personality and Individual Differences, 76, 1827. https://doi.org/10.1016/j.paid.2014.11.039 CrossRefGoogle Scholar
Hughes, E. K., & Gullone, E. (2008). Internalizing symptoms and disorders in families of adolescents: A review of family systems literature. Clinical Psychology Review, 28(1), 92117. https://doi.org/10.1016/j.cpr.2007.04.002 CrossRefGoogle ScholarPubMed
Kaye, M. P., Frith, A., & Vosloo, J. (2015). Dyadic anxiety in youth sport: The relationship of achievement goals with anxiety in young athletes and their parents. Journal of Applied Sport Psychology, 27(2), 171185. https://doi.org/10.1080/10413200.2014.970717 CrossRefGoogle Scholar
Kenny, D. A., Kashy, D. A., & Cook, W. L. (2006). Dyadic data analysis. New York, NY: Guilford.Google Scholar
Khoury, J. E., Atkinson, L., Bennett, T., Jack, S. M., & Gonzalez, A. (2021). COVID-19 and mental health during pregnancy: The importance of cognitive appraisal and social support. Journal of Affective Disorders, 282, 11611169. https://doi.org/10.1016/j.jad.2021.01.027 CrossRefGoogle ScholarPubMed
Kurimay, D., Pope-Rhodius, A., & Kondric, M. (2017). The relationship between stress and coping in table tennis. Journal of Human Kinetics, 55(1), 7581. https://doi.org/10.1515/hukin-2017-0007 CrossRefGoogle ScholarPubMed
Lebel, C., MacKinnon, A., Bagshawe, M., Tomfohr-Madsen, L., & Giesbrecht, G. (2020). Elevated depression and anxiety symptoms among pregnant individuals during the COVID-19 pandemic. Journal of Affective Disorders, 277, 513. https://doi.org/10.1016/j.jad.2020.07.126 CrossRefGoogle ScholarPubMed
Ledermann, T., & Bodenmann, G. (2006). Moderator-und Mediatoreffekte bei dyadischen Daten. Zeitschrift für Sozialpsychologie, 37(1), 2740. https://doi.org/10.1024/0044-3514.37.1.27 CrossRefGoogle Scholar
Ledermann, T., Macho, S., & Kenny, D. A. (2011). Assessing mediation in dyadic data using the actor-partner interdependence model. Structural Equation Modeling: A Multidisciplinary Journal, 18(4), 595612. https://doi.org/10.1080/10705511.2011.607099 CrossRefGoogle Scholar
Lee, S. J., Ward, K. P., Chang, O. D., & Downing, K. M. (2021). Parenting activities and the transition to home-based education during the COVID-19 pandemic. Children and Youth Services Review, 122, 105585. https://doi.org/10.1016/j.childyouth.2020.105585 CrossRefGoogle ScholarPubMed
Lian, B., & Yoon, S. (2020). Burdens, resilience, and mutual support: A comparative study of families in China and South Korea amid the COVID-19 pandemic. Journal of Comparative Family Studies, 51(3-4), 337346. https://doi.org/10.3138/jcfs.51.3-4.009 CrossRefGoogle Scholar
Magson, N. R., Freeman, J. Y. A., Rapee, R. M., Richardson, C. E., Oar, E. L., & Fardouly, J. (2021). Risk and protective factors for prospective changes in adolescent mental health during the COVID-19 pandemic. Journal of Youth and Adolescence, 50(1), 4457. https://doi.org/10.1007/s10964-020-01332-9 CrossRefGoogle Scholar
Mak, H. W., Fosco, G. M., & Feinberg, M. E. (2018). The role of family for youth friendships: Examining a social anxiety mechanism. Journal of Youth and Adolescence, 47(2), 306320. https://doi.org/10.1007/s10964-017-0738-9 CrossRefGoogle ScholarPubMed
Nicolì, I., Spinelli, M., Lionetti, F., Logrieco, M. G., & Fasolo, M. (2022). Protective and risk activities for emotional and behavioural well-being of children and adolescents during the COVID-19 lockdown. Child: Care, Health and Development, 1-6(6), 895900. https://doi.org/10.1111/cch.13003 CrossRefGoogle Scholar
Nie, A., Su, X., Zhang, S., Guan, W., & Li, J. (2020). Psychological impact of COVID-19 outbreak on frontline nurses: A cross-sectional survey study. Journal of Clinical Nursing, 29(21-22), 42174226. https://doi.org/10.1111/jocn.15454 CrossRefGoogle Scholar
Obeldobel, C. A., & Kerns, K. A. (2021). A literature review of gratitude, parent-child relationships, and well-being in children. Developmental Review, 61, 100948. https://doi.org/10.1016/j.dr.2021.100948 CrossRefGoogle Scholar
Pagorek-Eshel, S., & Finklestein, M. (2019). Family resilience among parent-adolescent dyads exposed to ongoing rocket fire. Psychological Trauma: Theory, Research, Practice, and Policy, 11(3), 283291. https://doi.org/10.1037/tra0000397 CrossRefGoogle ScholarPubMed
Piel, M. H., Geiger, J. M., Julien-Chinn, F. J., & Lietz, C. A. (2017). An ecological systems approach to understanding social support in foster family resilience. Child & Family Social Work, 22(2), 10341043. https://doi.org/10.1111/cfs.12323 CrossRefGoogle Scholar
Qi, M., Zhou, S., Guo, Z., Zhang, L., Min, H., Li, X., & Chen, J. (2020). The effect of social support on mental health in chinese adolescents during the outbreak of COVID-19. Journal of Adolescent Health, 67(4), 514518. https://doi.org/10.1016/j.jadohealth.2020.07.001 CrossRefGoogle ScholarPubMed
Qu, D., Huang, J., Kouros, C. D., & Yu, N. X. (2021). Dyadic effects of fluid mindset on psychological growth in immigrant mothers and their children: Indirect effect of resilience. Family Process, 60(4), 15071522. https://doi.org/10.1111/famp.12621 CrossRefGoogle ScholarPubMed
Ratajska, A., Glanz, B. I., Chitnis, T., Weiner, H. L., & Healy, B. C. (2020). Social support in multiple sclerosis: Associations with quality of life, depression, and anxiety. Journal of Psychosomatic Research, 138, 110252. https://doi.org/10.1016/j.jpsychores.2020.110252 CrossRefGoogle ScholarPubMed
Rourke, O., E., J., Halpern, L. F., & Vaysman, R. (2020). Examining the relations among emerging adult coping, executive function, and anxiety. Emerging Adulthood, 8(3), 209225. https://doi.org/10.1177/216769681879753 Google Scholar
Rusbult, C. E., & Van Lange, P. A. M. (2003). Interdependence, interaction, and relationships. Annual Review of Psychology, 54(1), 351375. https://doi.org/10.1146/annurev.psych.54.101601.145059 CrossRefGoogle ScholarPubMed
Santomauro, D. F., Mantilla Herrera, A. M., Shadid, J., Zheng, P., Ashbaugh, C., Pigott, D. M., Abbafati, C., Adolph, C., Amlag, J. O., Aravkin, A. Y., Bang-Jensen, B. L., Bertolacci, G. J., Bloom, S. S., Castro, E., Chakrabati, S., Chattopadhyay, J., Cogen, R. M., Collins, J. K., Dai, X., & Ferrari, A. J. (2021). Global prevalence and burden of depressive and anxiety disorders in 204 countries and territories in 2020 due to the COVID-19 pandemic. The Lancet, 398(10312), 17001712. https://doi.org/10.1016/S0140-6736(21)02143-7 CrossRefGoogle Scholar
Sixbey, M. T. Development of the family resilience assessment scale to identify family resilience constructs, 2005, (Publication No. 3204501) [Doctoral dissertation, University of Florida]. ProQuest Dissertations Publishing Google Scholar
Skinner, A. T., Godwin, J., Alampay, L. P., Lansford, J. E., Bacchini, D., Bornstein, M. H., Deater-Deckard, K., Di Giunta, L., Dodge, K. A., Gurdal, S., Pastorelli, C., Sorbring, E., Steinberg, L., Tapanya, S., Yotanyamaneewong, S. (2021). Parent-adolescent relationship quality as a moderator of links between COVID-19 disruption and reported changes in mothers’ and young adults’ adjustment in five countries. Developmental Psychology, 57(10), 16481666. https://doi.org/10.1037/dev0001236 CrossRefGoogle Scholar
Szkody, E., Stearns, M., Stanhope, L., & McKinney, C. (2021). Stress-buffering role of social support during COVID-19. Family Process, 60(3), 10021015. https://doi.org/10.1111/famp.12618 CrossRefGoogle ScholarPubMed
The State Council Information Office. ‘White paper: Fighting COVID-19: China in action 2020. http://www.china.org.cn/chinese/2020-08/06/content_76173252.htm.Google Scholar
Ungar, M. (2011). The social ecology of resilience: Addressing contextual and cultural ambiguity of a nascent construct. American Journal of Orthopsychiatry, 81(1), 117. https://doi.org/10.1111/j.1939-0025.2010.01067.x CrossRefGoogle ScholarPubMed
Waldinger, R.What makes a good life? Lessons from the longest study on happiness 2015. https://ecole-commercer.com/IMG/pdf/80_years_study_hapiness_harvard.pdf.Google Scholar
Walsh, F. (2003). Family resilience: A framework for clinical practice. Family Process, 42(1), 118. https://doi.org/10.1111/j.1545-5300.2003.00001.x CrossRefGoogle ScholarPubMed
Walsh, F. (2016). Family resilience: A developmental systems framework. European Journal of Developmental Psychology, 13(3), 313324. https://doi.org/10.1080/17405629.2016.1154035 CrossRefGoogle Scholar
Walsh, F. (2020). Loss and resilience in the time of COVID-19: Meaning making, hope, and transcendence. Family Process, 59(3), 898911. https://doi.org/10.1111/famp.12588 CrossRefGoogle ScholarPubMed
Walsh, F. (2015). Strengthening family resilience. Guilford Publications.Google Scholar
Weinberg, M., Besser, A., Zeigler-Hill, V., & Neria, Y. (2016). Bidirectional associations between hope, optimism and social support, and trauma-related symptoms among survivors of terrorism and their spouses. Journal of Research in Personality, 62, 2938. https://doi.org/10.1016/j.jrp.2016.03.002 CrossRefGoogle Scholar
West, C., Buettner, P., Stewart, L., Foster, K., & Usher, K. (2012). Resilience in families with a member with chronic pain: A mixed methods study. Journal of Clinical Nursing, 21(23-24), 35323545. https://doi.org/10.1111/j.1365-2702.2012.04271.x CrossRefGoogle ScholarPubMed
Withers, M. C., Cooper, A., Rayburn, A. D., & McWey, L. M. (2016). Parent-adolescent relationship quality as a link in adolescent and maternal depression. Children and Youth Services Review, 70, 309314. https://doi.org/10.1016/j.childyouth.2016.09.035 CrossRefGoogle Scholar
Wong, P., Liamputtong, P., Koch, S., & Rawson, H. (2019). The impact of social support networks on family resilience in an Australian Intensive Care Unit: A constructivist grounded theory. Journal of Nursing Scholarship, 51(1), 6880. https://doi.org/10.1111/jnu.12443 CrossRefGoogle Scholar
Woody, M. L., Kaurin, A., McKone, K. M. P., Ladouceur, C. D., & Silk, J. S. (2022). Displays of negative facial affect during parent-adolescent conflict and the bidirectional transmission of social anxiety. Journal of Child Psychology and Psychiatry, 63(8), 846854. https://doi.org/10.1111/jcpp.13530 CrossRefGoogle ScholarPubMed
Wu, X., Zhang, Y., Lin, C., & Zang, W. (2013). The effect of disaster exposure on PTSD of primary and secondary students: Mediating and moderating effects. Psychological Development and Education, 29(6), 641648. https://doi.org/10.16187/j.cnki.issn1001-4918.2013.06.006 Google Scholar
Xiao, H., Zhang, Y., Kong, D., Li, S., & Yang, N. (2020). The effects of social support on sleep quality of medical staff treating patients with Coronavirus disease 2019 (COVID-19) in January and February 2020 in China. Medical Science Monitor, 26, e923549e923541. https://doi.org/10.12659/MSM.923549 Google ScholarPubMed
Yang, B., Feldman, M. W., & Li, S. (2021). The status of family resilience: Effects of sustainable livelihoods in rural China. Social Indicators Research, 153(3), 10411064. https://doi.org/10.1007/s11205-020-02518-1 CrossRefGoogle Scholar
Ye, B., Zheng, Q., Sun, Q., Zhou, Q., & Deng, D. (2016). Social support and anxiety of college entrance examination: A mediated moderation model. Chinese Journal of Clinical Psychology, 24(03), 527530. https://doi.org/10.16128/j.cnki.1005-3611.2016.03.032 Google Scholar
Zhuo, R., Yu, Y., & Shi, X. (2022). Family resilience and adolescent mental health during COVID-19: A moderated mediation model. International Journal of Environmental Research and Public Health, 19(8), 4801. https://doi.org/10.3390/ijerph19084801 CrossRefGoogle ScholarPubMed
Zung, W. (1971). A rating instrument for anxiety disorders. Psychosomatics, 12(6), 371379. https://doi.org/10.1016/S0033-3182(71)71479-0 CrossRefGoogle ScholarPubMed
Figure 0

Table 1. Descriptive statistics and bivariate correlations in variables: adolescents and parents (N = 2512)

Figure 1

Figure 1. APIM testing dyadic associations between adolescents’ and parents’ social support and anxiety. Note. Unstandardized coefficients are presented. Solid lines represent significant pathways, and dashed lines represented nonsignificant pathways. Model controlled for trauma exposure of adolescents and parents. ***p < 0.001.

Figure 2

Table 2. Total, direct, and indirect effects in the actor–partner interdependence mediation model

Figure 3

Figure 2. The actor–partner interdependence mediation model results for social support, perceived family resilience, and anxiety. Note. Unstandardized parameter estimates are presented. Solid lines represent significant pathways, and dashed lines represented nonsignificant pathways. Model controlled for trauma exposure of children and parents. *p < 0.05, **p < 0.01, ***p < 0.001.