Skip to main content

ORIGINAL RESEARCH article

Front. Psychiatry, 29 March 2022
Sec. Digital Mental Health
This article is part of the Research Topic Insights in Digital Mental Health: 2021 View all 12 articles

Associations of Face-to-Face and Instant Messaging Family Communication and Their Contents With Family Wellbeing and Personal Happiness Amidst the COVID-19 Pandemic

  • 1School of Public Health, The University of Hong Kong, Hong Kong, Hong Kong SAR, China
  • 2School of Nursing, The University of Hong Kong, Hong Kong, Hong Kong SAR, China
  • 3School of Nursing and Health Studies, Hong Kong Metropolitan University, Hong Kong, Hong Kong SAR, China

Background: Both face-to-face and instant messaging (IM) communication are important for families, but face-to-face communication has reduced amidst the COVID-19 pandemic. We examined the use and contents of both communication methods amidst the pandemic, their associations with family wellbeing and personal happiness, and the mediation effects of communication quality in Hong Kong Chinese adults.

Methods: This population-based online survey enrolled 4,921 respondents in May 2020, who reported (i) any face-to-face or IM family communication when the pandemic was severe; (ii) communication contents being classified as neutral, positive, supportive, and negative; and (iii) communication quality, family wellbeing and personal happiness (score 0–10). Associations of family wellbeing and personal happiness with communication methods and contents (no communication excluded) were examined using linear regressions (β), adjusting for each other, sex, age, socioeconomic status, and the number of cohabitants. Mediating effects of communication quality on these associations were examined. Prevalence estimates were weighted by sex, age, and education of the general population. Interactions of methods and contents were examined.

Results: Of 4,891 included respondents (female: 52.9%, 45–54 years: 37.7%, ≥65 years: 21.3%), 7.1% reported no communication, 12.7% face-to-face communication only, 26.7% IM only, and 53.4% both methods. More males and those at younger ages, had lower socioeconomic status, or fewer cohabitants showed no family communication or face-to-face only. More respondents reported neutral (83.1–99.3%) than positive (42.1–62.2%), supportive (37.5–54.8%), and negative (10.9–34.5%) contents despite communication methods. Communication quality was higher with both methods than IM only, face-to-face only, and no communication (scores: 6.7 vs. 4.5–6.6, all P ≤ 0.02). Better family wellbeing and personal happiness were associated with using IM only (adjusted βs: 0.37 and 0.48) and both methods (0.37 and 0.42) than face-to-face only, and positive (0.62 and 0.74) or supportive (0.45 and 0.46) contents (all P ≤ 0.001). Communication quality mediated 35.2–93.5% of these associations. Stronger associations between positive contents and family wellbeing showed in both methods and face-to-face only than IM only (P for interaction = 0.006).

Conclusions: We have first shown that, amidst the COVID-19 pandemic, family IM communication and positive and supportive contents may promote family wellbeing and personal happiness. People with no family communication may need assistance.

Introduction

The novel coronavirus (COVID-19) pandemic poses global threats to the wellbeing of families and individuals. Increased family-related mental burdens and personal unhappiness have been reported amidst social disruptions and financial insecurity (13). Health, social, and economic challenges and adverse consequences from the pandemic are increasing. Posited by Prime and Wade's framework, individuals and families would be differentially influenced by the pandemic and well-functioning families, consisting of effective communication, organization, and belief systems, would be more resilient to these risks (4).

Family communication is a core process of the concepts of family wellbeing and family system and is foundational in maintaining family relationships and fostering individual wellbeing, as stressed in many Western theories and in Chinese culture (47). The pandemic triggers various stressors and intensifies the needs of feeling safe, hopeful, and socially connected (8). It has dramatically changed the habitual way many families interact and communicate, especially among those who were separated across different households amidst lockdowns and other social distancing restrictions (9, 10). With such challenges disrupting usual face-to-face communication, communication via digital tools such as instant messaging (IM) has increased substantially (11). Further understanding of how and what families are communicating amidst the pandemic is needed in preparation of the “new normal” and future pandemics.

Previous studies mostly focused on IM communication in social networks in romantic relationships, friendship, and working relationships, but rarely within the whole family (12). IM users did not have emotionally closer feelings with network members when offline (13), and longer duration of IM interactions did not predict better subjective happiness (14). We searched PubMed and Web of Science using a combination of keywords including “COVID-19”, “coronavirus”, “family”, “communication”, “face-to-face”, “instant messaging” and “wellbeing” up to 21 August 2021 to identify IM use in closed communication circles such as families. Only four of our previous papers separately reported the use of family IM chat groups associated with higher family functioning and wellbeing (15) and with personal happiness amidst the pandemic (16), sharing of family life information associated with higher family wellbeing (17), and socioeconomic disparities in using different digital communication methods for family communication (18). We found no reports on the contents of family communication or their associations with family and personal wellbeing amidst the pandemic.

Throughout the life course, family communication is crucial for a balanced family system and involves the exchange and sharing of information, knowledge, values, and beliefs (6, 19). The content of family communication and type of information being shared can shape behaviors, emotions, and sense of self (20, 21), and may thus influence family and individual wellbeing. In addition to providing support against social isolation and loneliness during the pandemic, family communication can also be an important source of health information (22, 23). Hong Kong has had no lockdowns during the pandemic, but almost 100% voluntary mask-wearing in the public started within a few weeks of the first COVID-19 outbreak. The government implemented social distancing regulations since 29 March 2020 (24), which deterred family gatherings and face-to-face interaction with family members. With such disruptions to in-person communication, communication via IM platforms such as WhatsApp and WeChat became popular alternatives, allowing for convenient and instant exchange of texts, voice messages, images including pictures and photos, videos, and audio clips. The pandemic has led to more older adults making use of the internet and smartphones to stay connected to family members (25, 26). In Hong Kong, both face-to-face communication and IM were previously found to be common methods of family communication (18).

We hypothesized that, (i) the use of face-to-face and IM family communication and their corresponding contents amidst the COVID-19 pandemic are associated with family and personal wellbeing, (ii) these associations are mediated by family communication quality, and (iii) communication methods moderate the associations between communication contents and outcomes. This study aimed to examine the use and contents of face-to-face and IM family communication amidst the COVID-19 pandemic, their associations with family wellbeing and personal happiness, the mediating effects of communication quality, and whether the moderating effects of communication methods exist.

Materials and Methods

Study Design and Participants

The Hong Kong Jockey Club SMART Family-Link project (2018–2022) is a large cross-sectoral collaboration between The University of Hong Kong and 26 local family service providers, aiming to advance information and communication technology (ICT) use in family services and to promote family wellbeing and happiness in local people (27). Under this project, the Family amidst COVID-19 survey (FamCov1) was designed to examine ICT related behaviors, attitudes and concerns toward the COVID-19 pandemic, and personal and family wellbeing in Hong Kong families. It was a population-based, cross-sectional survey conducted during 26–31 May 2020 to recruit a sample as large as possible within 6 days when the second wave of COVID-9 outbreak was under control. The target population was Chinese adults in Hong Kong aged 18 years or above who can read and write in Traditional Chinese. Those who were psychologically or physically unable to complete the whole online questionnaires were excluded. Email invitations to join the online survey were sent to both probability and non-probability-based online panels of the Hong Kong Public Opinion Research Institute, a well-known local survey agency (28). Respondents voluntarily answered the questionnaires with no incentive. Among the 20,103 opened invitation emails, 4,921 (24.5%) respondents completed the whole survey. After excluding 30 respondents that had no family members, 4,891 respondents (99.4%) were included in this study.

Details of the methods have been reported in three of our papers using the same data (3, 16, 29), showing that the perceived benefits and harms of COVID-19 were associated with sociodemographic factors (3), the fear of COVID-19 showed socioeconomic differences and was associated with perceived benefits and harms of COVID-19 (29), and that the use of different IM functions in family e-chat groups amidst the pandemic was associated with family wellbeing and personal happiness (16).

Ethics approval was obtained from the Institutional Review Board of the University of Hong Kong/Hospital Authority Hong Kong West Cluster (Reference Number: UW 20-238). All respondents gave informed consent before starting the survey. This study was carried out in accordance with the Declaration of Helsinki and all its amendments.

Measurements

Independent Variables

The definitions of family (“family members who are related through biological, marital, cohabitation, or/and emotional bonding”) and IM e-chat group (“a group of 3 or more people in IM communication applications such as WhatsApp or WeChat, etc.”) were given before related questions. Face-to-face communication with family was asked by the question, “When the pandemic was severe, on average per week, how many days did you communicate face-to-face with family members?”. Respondents answering 0 days or 1–7 days were regarded as either having none or had face-to-face communication with family, respectively. IM communication was asked by two questions, “When the pandemic was severe, on average per week, how many days did you receive/send instant messages from/to family members in family e-chat groups?”. Respondents answering 0 days for both questions or 1–7 days for one/both questions were regarded as having none or had IM communication with family, respectively.

The corresponding contents of face-to-face and IM were asked using multiple-choice questions, “When the pandemic was severe, what contents did you communicate face-to-face with family members?” or “When the pandemic was severe, what contents in the instant messages you receive or send from/to family members in family e-chat groups?”. The answers include COVID-19-related information, self/family-related things in daily life, self/family-related and unrelated happy/funny things, and related unhappy things, showing care, encouragement, appreciation, good wishes, other health information, and others (e.g., daily life information, news, and current affairs, etc.,).

Dependent Variables

Family communication quality was measured using a single item, “How do you find the quality of communication between you and your family members?”, which has been used in our previous study (30). Family health, harmony, and happiness (3Hs) were measured using the Family Wellbeing Scale, with validity shown in our previous studies (7, 31). Family wellbeing was calculated as the average score of family 3Hs. Personal happiness was examined using a single item, “How happy do you think you are, “with reliability and validity shown in previous surveys (32). All outcomes were measured on an 11-point scale (score 0–10), with higher scores indicating better outcomes, which allows more differentiation of the answers than Likert scales with fewer options (33).

Covariates

Information on sociodemographic characteristics was collected, including sex, age group (18–24 years, 25–34 years, 45–64 years, and 65 years or above), education (primary or below, secondary, post-secondary, and university or above), monthly household income (no income, less than HK$ 4,000, HK$ 4,000–9,999, HK$ 10,000–19,999, HK$ 20,000–29,999, HK$ 30,000–39,999, and HK$ 40,000 or higher) (US$ 1.0 = HK$ 7.8), housing type (rented and owned), and household size (number of cohabitants, including the respondent).

Statistical Analysis

Education was dichotomized as secondary or below and tertiary. Monthly household income per person (income being divided by household size) was dichotomized as lower and higher using the median household income and household size of the 2019 Hong Kong census data (34). Socioeconomic status was calculated as a composite score of education (0 = secondary or below, 1 = tertiary), income (0 = lower, 1 = higher), and housing (0 = rented, 1 = owned) and analyzed as low (0–1), medium (2), and high (3). Communication methods were divided into four groups, including no communication, face-to-face only, IM only, and both methods. Contents in family communication were divided into four groups by their affective interpretation, including neutral (self/family-related things in daily life, COVID-19-related information, other health information, and others, e.g., daily life information, news, and current affairs, etc.,), positive (self/family-related and unrelated happy/funny things), supportive (showing care, encouragements, appreciations, and good wishes) and negative (self/family-related unhappy things) contents. Among them, neutral, positive, and negative contents have been used before (35, 36). We especially distinguished supportive from positive contents, because Chinese people tend to have implicit and indirect expressions instead of direct verbal expressions of supportive contents (3739).

The raw data and prevalence estimates were weighted by sex, age, and educational attainment of the 2019 Hong Kong census data (40, 41). Pairwise comparisons using Chi-square tests for categorical variables and t-tests for continuous variables were used to compare the characteristics and outcomes of respondents having no family communication, face-to-face only, and IM only with those using both methods, and to compare the contents in the following 3 pairs of communication methods: face-to-face only vs. IM only, both methods vs. face-to-face only, and both methods vs. IM only, with Bonferroni adjusted level of significance (0.05/3 = 0.017).

Adjusted regression coefficients (βs) and their 95% confidence intervals (CIs) were estimated using multivariable linear regressions to estimate the associations of outcomes, including family wellbeing and personal happiness, with the four communication methods in Model I, with the four kinds of contents in Model II, and with both methods and contents in Model III, adjusted for sex, age groups, socioeconomic status, and the number of cohabitants. People having no family communication were excluded in Model II and Model III. Based on model III, we additionally examined the mediating effects of family communication quality on these associations using the Baron and Kenny approach (42), and whether the mediating (indirect) effects were significant were examined using the Sobel tests. The bias-corrected bootstrap CIs of the total, indirect and direct effects were calculated with 1,000 replications, adjusted for sex, age group, socioeconomic status, and the number of cohabitants. The moderating effects of communication methods on the associations of contents with outcomes were examined by additionally including the interaction terms of methods and contents in corresponding regression models. A 2-sided P < 0.05 was considered statistically significant. All statistical analyses were performed using STATA version 15.0 (StataCorp LP, College Station, TX, USA).

Results

Of the 4,891 respondents included in this study, after weighting, 52.9% of them were female, with the mean age of 43.5 years (37.7% aged 45–64 years and 21.3% aged ≥65 years). Details of their sociodemographic characteristics have been previously reported (3, 29). Table 1 shows that after weighting, over half of respondents (53.4%) communicated with family members using both methods (face-to-face and IM messages), followed by IM only (26.7%), face-to-face only (12.7%), and no family communication (7.1%). Compared with those using both methods, more respondents having no family communication or having face-to-face communication only were male (52.5 and 65.1%, respectively, vs. 46.2%), at younger ages, and had lower socioeconomic status (low: 61.6 and 52.8%, respectively, vs. 48.7%) and fewer cohabitants (all P ≤ 0.03); while more of those using IM only were female (61.2 vs. 53.8%), at older ages, and had lower socioeconomic status (low: 56.6 vs. 48.7%) and fewer cohabitants (all P ≤ 0.001). The unweighted characteristics are shown in Supplementary Table 1.

TABLE 1
www.frontiersin.org

Table 1. Weighted characteristics and family and personal outcomes by communication methodsa.

Table 2 shows that after weighting, in face-to-face communication, self/family-related things in daily life (79.5%) were the most frequent contents, followed by information of COVID-19 (78.2%), self/family-related happy/funny things (47.1%), others (e.g., daily life information, news, and current affairs, etc.,) (46.0%), showing care (42.8%), other health information (30.8%), self/family-related unhappy things (29.3%), self/family-unrelated happy/funny things (26.9%), encouragements (14.9%), appreciations (12.1%), and good wishes (11.9%). In IM messages, information of COVID-19 (80.6%) was the most common contents, followed by self/family-related things in daily life (59.6%), showing care (41.2%), and others (40.2%), whereas encouragements (16.9%), good wishes (16.3%), self/family-related unhappy things (16.0%), and appreciations (8.7%) were the least 4 common ones. When contents were grouped into 4 kinds, fewer respondents reported neutral (88.1 vs. 98.4%), positive (43.9 vs. 60.8%), and negative contents (16.0 vs. 29.3%) in IM communication than in face-to-face communication (all P <0.001). The unweighted percentages of contents are shown in Supplementary Table 2.

TABLE 2
www.frontiersin.org

Table 2. Weighted percentages of contents by communication methodsa.

Compared with face-to-face communication only, IM only included less self/family-related things in daily life (51.7 vs. 73.3%) and self/family-related unhappy things (10.9 vs. 19.4%), but more information of COVID-19 (81.7 vs. 74.4%), showing care (47.0 vs. 36.5%), other health information (38.0 vs. 29.3%), encouragements (18.3 vs. 7.2%), and good wishes (20.1 vs. 5.9%) (all P < 0.001). For the 4 kinds of contents, it included less neutral (83.1 vs. 97.3%) and negative contents (10.9 vs. 19.4%) but more supportive contents (53.7 vs. 37.5%) (all P < 0.001). Using both methods included higher percentages of almost all contents than using one method only (all P ≤ 0.02) except good wishes compared with IM only (18.9 vs. 20.1%, P = 0.36). In general, using both methods contained more neutral, positive, and negative contents than using one method only (P < 0.001), except supportive contents (both 54.8% vs. IM only 53.7%) (P = 0.54).

Table 3 shows that after excluding those with no communication, when communication methods and contents were included in the same models, compared with using face-to-face communication only, using IM only and using both methods were associated with higher levels of family communication quality, family wellbeing, and personal happiness (Model III, adjusted βs: 0.30–0.48, all P < 0.001). Only positive, supportive and negative contents were associated with higher levels of family communication quality (adjusted βs: 0.27–0.70, all P < 0.001), and only positive and supportive contents were associated with higher levels of family wellbeing and personal happiness (adjusted βs: 0.45–0.74, all P < 0.001).

TABLE 3
www.frontiersin.org

Table 3. Associations of communication methods with outcomes, adjusted β (95% CIs) (n = 4,891).

Family communication quality partially mediated the associations of communication methods and positive contents with family wellbeing (proportion mediated: 50.1–76.1%) and personal happiness (proportion mediated: 35.2–51.4%), and the associations of supportive contents with personal happiness (73.9%), and almost fully mediated the association of supportive contents with family wellbeing (93.5%, P for direct effect = 0.35) (Table 4).

TABLE 4
www.frontiersin.org

Table 4. Adjusted total, indirect, and direct effects of communication methods and positive and supportive contents on outcomes mediated by family communication quality, adjusted β (95% CIs) (n = 4,571)a.

Communication methods moderated the associations of positive contents with family wellbeing (P for interaction=0.006) (Figure 1). Positive contents had stronger associations with better family wellbeing in using both methods (estimated score changes: 0.71, 95% CI: 0.57–0.85) and face-to-face only (0.78, 95% CI: 0.53–1.03) than in IM only (0.37, 95% CI: 0.18–0.56) (P = 0.004 and 0.009, respectively).

FIGURE 1
www.frontiersin.org

Figure 1. The linear prediction of family wellbeing by communication methods and positive contentsa. aIM, Instant messaging; F2F, Face-to-face.

Discussion

This is the first study to report family communication methods and contents were independently associated with family communication quality, family wellbeing, and personal happiness, showing that better family wellbeing and personal happiness were associated with using IM only and both methods than face-to-face communication only, and were associated with having positive and supportive contents in family communication. About half to almost all these associations were mediated by communication quality. Communication methods moderated the association between positive contents and family wellbeing, showing stronger associations of family wellbeing with both methods and face-to-face only than IM only. These results are consistent with our three hypotheses.

Our results highlight the importance of using IM messages to communicate with family members amidst the COVID-19 pandemic, which showed better outcomes than face-to-face communication only. Due to physical isolation and social distancing, traditional face-to-face family communication and usual family gatherings have been disrupted, while digital communication via IM tools is increasingly used and often the only option in maintaining familial interactions in separated households (43). Those who could only use IM communication may value the interaction more and thus feel connected and supported. More men and younger people used face-to-face communication only probably because some might choose not to or seldom use IM messages for family communication even under social distancing restrictions. Consistent with previous studies, women and older people cared more about family affairs and participated in more IM family communication (17, 44). Their behaviors may be encouraged by perceived usefulness and enjoyment, attachment motivation, and relationship commitment, which were predictors of the intention of continuously using IM to sustain interpersonal relationships (45).

We found that when using both IM and face-to-face communication within the family context, almost all contents increased to a greater or lesser degree (15.9–87.2%) than using one method only (face-to-face only: 5.9–74.4%, IM only: 9.4–81.7%), except good wishes which were similar to IM only. Using both methods means more communication. IM messages may act as a supplement of face-to-face communication as an additional way of conversing even when face-to-face is possible, as IM is more convenient. For example, more COVID-19 and health-related information can be promptly shared in their original formats via IM messages, such as long texts, web links, photos, and short videos. Also, as Chinese people tend to indirectly express their encouragements, appreciations, and good wishes to family members (3739), IM has become a brand-new platform to deliver and convey supportive contents beyond merely text, with emojis and many readily available e-messages for more vivid and intimate expressions (46). Face-to-face communication contains more self/family-related things in daily life and unhappy things and can provide better communication satisfaction through verbal, facial, and body language but is restricted by physical location (47).

All kinds of contents were associated with better family communication quality when sociodemographic characteristics were controlled (Model II), but only positive and supportive contents remained associated with family wellbeing and personal happiness when communication methods were also controlled (Model III). In a well-functioning family, members should be willing to share all kinds of contents, including negative ones. An effective coping mechanism in combating stress of negative life events is to seek comfort and help within social support networks such as family (48), through the sharing of affection and empathy, and giving encouragement, advice, and practical help such as health information (49). COVID-19 and health-related information have been widely spread amidst the pandemic, and the related sharing and forwarding behaviors could mean both showing care to family members and a cause of the ongoing infodemic, pandemic fear, and mental health burdens (50, 51). Previous studies have linked positive and supportive contents with confidence and competence among family members, while negative contents such as criticism were associated with lower self-esteem and defiance (20, 52). While open and direct expression of affection, both verbal and non-verbal, are encouraged in Western families (53), such as saying “I love you”, this is not common in Chinese households, where strong emotions are typically held back, stemming from a historical emphasis on the regulation of social behaviors and expression of emotions (54, 55). Such differences can also be observed in the discussion of funny and humorous topics within families (56). Considering the relatively low weighted percentages of positive and supportive contents (positive: 42.1–62.2%; supportive: 37.5–54.8% vs. neutral: 83.1–99.3%), increasing these contents through IM first may lead to increased use in face-to-face communication, which may promote family wellbeing and personal happiness. Intervention studies on IM use to deliver such contents to promote family and individual wellbeing are warranted.

The moderating effect of communication methods showed that positive contents in face-to-face communication only and both methods were more strongly associated with better family wellbeing than in IM messages, suggesting that sharing self/family-related and unrelated happy/funny things by IM only may be less effective for maintaining and nourishing family relationships. In face-to-face communication, non-verbal language, such as laughter and smiles, can give real-time positive feedbacks and immediately create a happy and enjoyable atmosphere (57). According to the attachment theory, pleasant and frequent interactions with others contribute to individual mental and emotional wellbeing (45), which may evoke better family wellbeing in family communication.

The mediation effects of family communication quality can provide new evidence to Prime and Wade's framework (4). Amidst the COVID-19 pandemic, family communication provides clear information, emotional sharing, collaborative problem-solving, and dyadic and family coping to connect family members and share beliefs. Quality communication, such as using both face-to-face and IM communication and including positive or supportive contents, can thus provide security and hope for vulnerable members during periods of stress (4), shown as higher perceived family wellbeing and personal happiness in the present study.

In Hong Kong, the most westernized city in China, the high penetration rate of smartphones (91.5% in 2019) and the Internet (87.0% in 2019) means most people can conveniently use social media and IM messages (58, 59). With 93.6% of the population being Chinese, Hong Kong people highly value family relationships, which are influenced by collectivism and Confucius ideals in traditional Chinese culture (31). However, we found that 7.1% of people had no family communication and they reported the lowest family communication quality, family wellbeing, and personal happiness. They tended to be in low socioeconomic status and could be vulnerable and more adversely impacted by the pandemic than others. This is an example of digital inequality, shown as the inequality in terms of access, usage, skills, and self-perceptions to digital engagement in individual and macro-level domains (60). Urgent attention and assistance should be given to these vulnerable people from policymakers and social welfare organizations.

Our study had some limitations. First, recall bias and social desirability bias could not be avoided in self-administered questionnaires. However, the use of communication methods and contents in family communication when the pandemic was severe was asked during the easing period of the pandemic, and recall errors would be little within such recent time periods. We used an online survey via emails without interviewers, which could help reduce social desirability bias (61). Second, although we tried to provide a clearer temporal sequence by asking the perceived outcomes during the easing period and the communication methods and contents during an earlier period when the pandemic was severe, due to the cross-sectional observational study design, we could not rule out reverse causality. Future prospective studies are needed to verify the associations and mediation effects we observed. Also, systematic bias due to residual confounding might exist. For example, people having face-to-face communication only could be lack of health literacy to share digital information with family, while sharing family life information through ICT tools were found to be associated with family wellbeing (17). Also, those having IM only might live separately with their family so face-to-face communication was unavailable. Such separation from family, especially amidst the pandemic, could lead to low family wellbeing or personal happiness. Third, as the COVID-19 pandemic changes rapidly and unpredictably, we tried to collect the largest possible sample within a short period, non-response bias could be present as younger and better-educated respondents were included. Generalization could be limited. Finally, details of the contents were not asked, and more in-depth information should be collected in future studies.

Conclusions

We have first shown that, amidst the COVID-19 pandemic, better family wellbeing and personal happiness were associated with family communication using IM only and both methods than face-to-face only, and with positive and supportive contents. These associations were partially or almost fully mediated by communication quality. Family IM communication and positive and supportive contents may promote family wellbeing and personal happiness. People with no family communication may need urgent attention and assistance. Prospective studies are needed to verify the associations and mediations.

Data Availability Statement

The dataset presented in this article is not readily available because the sharing of data to third parties was not mentioned in subjects' consent. Requests to access the dataset can be directed to the corresponding author.

Ethics Statement

The studies involving human participants were reviewed and approved by Institutional Review Board of the University of Hong Kong/Hospital Authority Hong Kong West Cluster (Reference Number: UW 20-238). Informed consent was obtained from all participants included in this study.

Author Contributions

WG and SS: formal analysis and writing—original draft. BW: data curation, project administration, and writing—review and editing. SW: methodology and writing—review and editing. AL: conceptualization and writing—review and editing. SH: conceptualization, methodology, and writing—review and editing. MW and TL: supervision, conceptualization, and writing—review and editing. All authors participated in the critical review of this study and provided final approval for publication submission.

Funding

This study was funded by the Hong Kong Jockey Club Charities Trust.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Acknowledgments

We would like to thank the Hong Kong Public Opinion Research Institute for the fieldwork and the Jockey Club SMART Family-Link Project team.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpsyt.2022.780714/full#supplementary-material

References

1. Wang C, Pan R, Wan X, Tan Y, Xu L, Ho CS, et al. Immediate psychological responses and associated factors during the initial stage of the 2019 coronavirus disease (COVID-19) epidemic among the general population in China. Int J Environ Res Public Health. (2020) 17:1729. doi: 10.3390/ijerph17051729

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Statistics Canada. Canadian Perspectives Survey Series 1: Impacts of COVID-19. (2020). Available online at: https://www150.statcan.gc.ca/n1/en/daily-quotidien/200408/dq200408c-eng.pdf?st=QdNFbXIA#shr-pg-pnl1 (accessed November 16, 2020).

3. Wong BYM, Lam TH, Lai AYK, Wang MP, Ho SY. Perceived benefits and harms of the COVID-19 pandemic on family well-being and their sociodemographic disparities in Hong Kong: a cross-sectional study. Int J Environ Res Public Health. (2021) 18:1217. doi: 10.3390/ijerph18031217

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Prime H, Wade M, Browne DT. Risk and resilience in family well-being during the COVID-19 pandemic. Am Psychol. (2020) 75:631–43. doi: 10.1037/amp0000660

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Suter EA, Norwood KM. Critical theorizing in family communication studies: (Re) reading relational dialectics theory 2.0. Commun Theor. (2017) 27:290–308. doi: 10.1111/comt.12117

CrossRef Full Text | Google Scholar

6. Galvin KM, Braithwaite DO, Bylund CL. Family Communication: Cohesion and Change. New York, NY: Routledge (2015).

7. Lam WWT, Fielding R, McDowell I, Johnston J, Chan S, Leung GM, et al. Perspectives on family health, happiness and harmony (3H) among Hong Kong Chinese people: a qualitative study. Health Educ Res. (2012) 27:767–79. doi: 10.1093/her/cys087

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Hart JL, Turnbull AE, Oppenheim IM, Courtright KR. Family-centered care during the COVID-19 era. J Pain Symptom Manage. (2020) 60:e93–7. doi: 10.1016/j.jpainsymman.2020.04.017

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Guardian Community Team. Tell us: Has Your Family Been Separated by Covid? : The Guardian. (2021). Available online at: https://www.theguardian.com/lifeandstyle/2021/feb/24/tell-us-has-your-family-been-separated-by-covid (accessed 2021May 12)

10. Gadermann AC, Thomson KC, Richardson CG, Gagné M, McAuliffe C, Hirani S, et al. Examining the impacts of the COVID-19 pandemic on family mental health in Canada: findings from a national cross-sectional study. BMJ Open. (2021) 11:e042871. doi: 10.1136/bmjopen-2020-042871

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Nguyen MH, Gruber J, Fuchs J, Marler W, Hunsaker A, Hargittai E. Changes in digital communication during the COVID-19 global pandemic: implications for digital inequality and future research. Soc Media Soc. (2020) 6:2056305120948255. doi: 10.1177/2056305120948255

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Castellacci F, Tveito V. Internet use and well-being: a survey and a theoretical framework. Res Policy. (2018) 47:308–25. doi: 10.1016/j.respol.2017.11.007

CrossRef Full Text | Google Scholar

13. Pollet TV, Roberts SG, Dunbar RI. Use of social network sites and instant messaging does not lead to increased offline social network size, or to emotionally closer relationships with offline network members. Cyberpsychol Behav Soc Netw. (2011) 14:253–8. doi: 10.1089/cyber.2010.0161

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Vlahovic TA, Roberts S, Dunbar R. Effects of duration and laughter on subjective happiness within different modes of communication. J Comput Mediat Commun. (2012) 17:436–50. doi: 10.1111/j.1083-6101.2012.01584.x

CrossRef Full Text | Google Scholar

15. Zhao SZ, Luk TT, Guo N, Wang MP, Lai AYK, Wong BYM, et al. Association of mobile instant messaging chat group participation with family functioning and well-being: population-based cross-sectional study. J Med Internet Res. (2021) 23:e18876. doi: 10.2196/18876

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Gong W-J, Wong BY, Ho S-Y, Lai AY, Zhao S-Z, Wang M-P, et al. Family e-chat group use was associated with family wellbeing and personal happiness in Hong Kong adults amidst the COVID-19 pandemic. International Journal of Environmental Research and Public Health. (2021) 18:9139. doi: 10.3390/ijerph18179139

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Shen C, Wang MP, Chu JT, Wan A, Viswanath K, Chan SSC, et al. Sharing family life information through video calls and other information and communication technologies and the association with family well-being: Population-based survey. JMIR Ment Health. (2017) 4:e57. doi: 10.2196/mental.8139

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Wang MP, Chu JT, Viswanath K, Wan A, Lam TH, Chan SS. Using information and communication technologies for family communication and its association with family well-being in Hong Kong: FAMILY project. J Med Internet Res. (2015) 17:e207. doi: 10.2196/jmir.4722

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Olson DH. Circumplex model of marital and family systems. J Fam Ther. (2000) 22:144–67. doi: 10.1111/1467-6427.00144

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Swenson S, Ho GWK, Budhathoki C, Belcher HME, Tucker S, Miller K, et al. Parents' use of praise and criticism in a sample of young children seeking mental health services. J Pediatr Health Care. (2016) 30:49–56. doi: 10.1016/j.pedhc.2015.09.010

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Kapetanovic S, Skoog T. The role of the family's emotional climate in the links between parent-adolescent communication and adolescent psychosocial functioning. Res Child Adolesc Psychopathol. (2021) 49:141–54. doi: 10.1007/s10802-020-00705-9

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Wong FHC, Liu T, Leung DKY, Zhang AY, Au WSH, Kwok WW, et al. Consuming information related to COVID-19 on social media among older adults and its association with anxiety, social trust in information, and COVID-safe behaviors: Cross-sectional telephone survey. J Med Internet Res. (2021) 23:e26570. doi: 10.2196/26570

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Yeo R. Coronavirus: Sharing too Much Information on Pandemic May Have a Negative Impact on Family Relationships, Hong Kong Survey Finds. South China Morning Post. (2020). Available online at: https://www.scmp.com/news/hong-kong/health-environment/article/3106339/coronavirus-sharing-too-much-information-pandemic (accessed April 15, 2021).

24. Government of Hong Kong SAR. Prevention and Control of Disease (Prohibition on Group Gathering) Regulation. (2020). Available online at: https://www.info.gov.hk/gia/general/202003/28/P2020032800720.htm (accessed January 21, 2022).

25. Poon L, Holder S. The “New Normal” for Many Older Adults is on the Internet. (2020). Available online at: https://www.bloomberg.com/news/features/2020-05-06/in-lockdown-seniors-are-becoming-more-tech-savvy (accessed April 15, 2021).

26. AGE-WELL Network of Centres of Excellence (NCE). COVID-19 has Significantly Increased the Use of Many Technologies Among Older Canadians: Poll. (2020). Available online at: https://www.newswire.ca/news-releases/covid-19-has-significantly-increased-the-use-of-many-technologies-among-older-canadians-poll-865959030.html (accessed May 10, 2021).

27. Jockey Club SMART Family-Link Project. About us: Project Background. (2018). Available online at: https://jcsmartfamilylink.hk/en/projectbackground/ (accessed July, 10 2021).

28. Hong Kong Public Opinion Research Institute. HKPOP Panel. (2020). Available online at: https://www.pori.hk/eng/hkpop-panel (accessed 2020 Nov 7).

29. Sit SM, Lam TH, Lai AY, Wong BY, Wang MP, Ho SY. Fear of COVID-19 and its associations with perceived personal and family benefits and harms in Hong Kong. Transl Behav Med. (2021) 11:793–801. doi: 10.1093/tbm/ibab018

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Guo N, Wang MP, Luk TT, Ho SY, Fong DYT, Chan SS, et al. The association of problematic smartphone use with family well-being mediated by family communication in Chinese adults: a population-based study. J Behav Addict. (2019) 8:412–9. doi: 10.1556/2006.8.2019.39

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Shen C, Wang MP, Ho HCY, Wan A, Stewart SM, Viswanath K, et al. Test-retest reliability and validity of a single-item self-reported family happiness scale in Hong Kong Chinese: findings from Hong Kong Jockey club FAMILY project. Qual Life Res. (2019) 28:535–43. doi: 10.1007/s11136-018-2019-9

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Abdel-Khalek AM. Measuring happiness with a single-item scale. Soc Behav Personal. (2006) 34:139–50. doi: 10.2224/sbp.2006.34.2.139

CrossRef Full Text | Google Scholar

33. Verster JC, Sandalova E, Garssen J, Bruce G. The use of single-item ratings versus traditional multiple-item questionnaires to assess mood and health. Eur J Investig Health Psychol Educ. (2021) 11:183–98. doi: 10.3390/ejihpe11010015

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Census and Statistics Department. Table E034: Median Monthly Domestic Household Income of Economically Active Households by Household Size. (2019). Available online at: https://www.censtatd.gov.hk/hkstat/sub/sp150.jsp?productCode=D5250038 (accessed November 7, 2020).

35. Kim S-M, Hovy E, editors. Determining the sentiment of opinions. Year Presented at: COLING 2004: Proceedings of the 20th International Conference on Computational Linguistics. Geneva: Coling (2004) 1367–73. Available online at: https://aclanthology.org/C04-1200/

36. Gasper K, Spencer LA, Hu D. Does neutral affect exist? How challenging three beliefs about neutral affect can advance affective research. Front Psychol. (2019) 10:2476. doi: 10.3389/fpsyg.2019.02476

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Yu MC. Sociolinguistic competence in the complimenting act of native Chinese and American English speakers: a mirror of cultural value. Lang Speech. (2005) 48:91–119. doi: 10.1177/00238309050480010501

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Cheah CS Li J, Zhou N, Yamamoto Y, Leung CY. Understanding Chinese immigrant and European American mothers' expressions of warmth. Dev Psychol. (2015) 51:1802. doi: 10.1037/a0039855

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Bello RS, Brandau-Brown FE, Zhang S, Ragsdale JD. Verbal and nonverbal methods for expressing appreciation in friendships and romantic relationships: a cross-cultural comparison. Int J Intercult Rel. (2010) 34:294–302. doi: 10.1016/j.ijintrel.2010.02.007

CrossRef Full Text | Google Scholar

40. Census and Statistics Department. Table 002: Population by Age Group and Sex. (2019). Available online at: https://www.censtatd.gov.hk/hkstat/sub/sp150.jsp?tableID=002&ID=0&productType=8 (accessed November 7, 2020).

41. Census and Statistics Department. Women and Men in Hong Kong–Key Statistics. (2019). Available online at: https://www.statistics.gov.hk/pub/B11303032019AN19B0100.pdf (accessed November 7, 2020).

42. Baron RM, Kenny DA. The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. J Pers Soc Psychol. (1986) 51:1173–82. doi: 10.1037/0022-3514.51.6.1173

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Watson A, Lupton D, Michael M. Enacting intimacy and sociality at a distance in the COVID-19 crisis: the sociomaterialities of home-based communication technologies. Media Int Aust. (2020) 178:136–50. doi: 10.1177/1329878X20961568

CrossRef Full Text | Google Scholar

44. Lindley SE. Shades of lightweight: supporting cross-generational communication through home messaging. Universal Access Inf. (2012) 11:31–43. doi: 10.1007/s10209-011-0231-2

CrossRef Full Text | Google Scholar

45. Lou H, Chau PY Li D. Understanding individual adoption of instant messaging: An empirical investigation. J Assoc Inf Syst. (2005) 6:5. doi: 10.17705/1jais.00066

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Hsieh SH, Tseng TH. Playfulness in mobile instant messaging: examining the influence of emoticons and text messaging on social interaction. Comput Hum Behav. (2017) 69:405–14. doi: 10.1016/j.chb.2016.12.052

CrossRef Full Text | Google Scholar

47. Baym NK, Zhang YB, Lin M-C. Social interactions across media: interpersonal communication on the Internet, telephone and face-to-face. New Media Soc. (2004) 6:299–318. doi: 10.1177/1461444804041438

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Chou KL, Chi I. Stressful life events and depressive symptoms: social support and sense of control as mediators or moderators? Int J Aging Hum Dev. (2001) 52:155–71. doi: 10.2190/9C97-LCA5-EWB7-XK2W

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Zhang J, Hu H, Hennessy D, Zhao S, Zhang Y. Digital media and depressive symptoms among Chinese adolescents: a cross-sectional study. Heliyon. (2019) 5:e01554. doi: 10.1016/j.heliyon.2019.e01554

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Ornell F, Schuch JB, Sordi AO, Kessler FHP. “Pandemic fear” and COVID-19: mental health burden and strategies. Braz J Psychiatry. (2020) 42:232–5. doi: 10.1590/1516-4446-2020-0008

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Dubey S, Biswas P, Ghosh R, Chatterjee S, Dubey MJ, Chatterjee S, et al. Psychosocial impact of COVID-19. Diabetes Metab Syndr. (2020) 14:779–88. doi: 10.1016/j.dsx.2020.05.035

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Rowland Miller. Intimate Relationships. 6th ed. New York, NY: McGraw-Hill Education (2011).

53. Barnes HL, Olson DH. Parent-adolescent communication and the circumplex model. Child Dev. 1985:438–47. doi: 10.2307/1129732

CrossRef Full Text | Google Scholar

54. Wu MS, Li B, Zhu L, Zhou C. Culture change and affectionate communication in China and the United States: evidence from google digitized books 1960–2008. Front Psychol. (2019) 10. doi: 10.3389/fpsyg.2019.01110

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Ford BQ, Mauss IB. Culture and emotion regulation. Curr Opin Psychol. (2015) 3:1–5. doi: 10.1016/j.copsyc.2014.12.004

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Yue X, Jiang F, Lu S, Hiranandani N. To be or not to be humorous? Cross vultural perspectives on humor. Front Psychol. (2016) 7:1495. doi: 10.3389/fpsyg.2016.01495

PubMed Abstract | CrossRef Full Text | Google Scholar

57. Künecke J, Wilhelm O, Sommer W. Emotion recognition in nonverbal face-to-face communication. J Nonverbal Behav. (2017) 41:221–38. doi: 10.1007/s10919-017-0255-2

CrossRef Full Text | Google Scholar

58. Census and Statistics Department, . Thematic household survey report No. 69: Personal computer and Internet penetration. (2020). Available online at: https://www.ogcio.gov.hk/en/about_us/facts/doc/householdreport2020_69.pdf (accessed May 21, 2021).

59. Thomala LL. Internet Penetration rate in Hong Kong From 2015 to 2019 With a Forecast Until 2025. (2020). Statista Research Department. Available online at: https://www.statista.com/statistics/973717/hong-kong-internet-penetration-rate/ (accessed June 10, 2021).

60. Robinson L, Cotten SR, Ono H, Quan-Haase A, Mesch G, Chen W, et al. Digital inequalities and why they matter. Inform Commun Soc. (2015) 18:569–82. doi: 10.1080/1369118X.2015.1012532

CrossRef Full Text | Google Scholar

61. Grimm P. Social desirability bias. In: Kamakura WA, editor. Wiley International Encyclopedia of Marketing Chichester, West Sussex, UK. New York, NY: Wiley (2010).

Keywords: communication contents, family wellbeing, happiness, instant messaging (IM), face-to-face (F2F)

Citation: Gong WJ, Sit SMM, Wong BYM, Wu SYD, Lai AYK, Ho SY, Wang MP and Lam TH (2022) Associations of Face-to-Face and Instant Messaging Family Communication and Their Contents With Family Wellbeing and Personal Happiness Amidst the COVID-19 Pandemic. Front. Psychiatry 13:780714. doi: 10.3389/fpsyt.2022.780714

Received: 21 September 2021; Accepted: 21 February 2022;
Published: 29 March 2022.

Edited by:

Heleen Riper, VU Amsterdam, Netherlands

Reviewed by:

Markus Wolf, University of Zurich, Switzerland
André Luiz Monezi Andrade, Pontifical Catholic University of Campinas, Brazil

Copyright © 2022 Gong, Sit, Wong, Wu, Lai, Ho, Wang and Lam. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Man Ping Wang, mpwang@hku.hk

These authors have contributed equally to this work

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.