Evidence map›Paper›PMID 33720034›Full record

ArticleJournal of medical Internet research2021

Association of Mobile Instant Messaging Chat Group Participation With Family Functioning and Well-Being: Population-Based Cross-sectional Study.

Sheng Zhi Zhao, Tzu Tsun Luk, Ningyuan Guo, Man Ping Wang, Agnes Yuen Kwan Lai, Bonny Yee Man Wong, Daniel Yee Tak Fong, Sophia Siu Chee Chan, Tai Hing Lam

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Article in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Sheng Zhi ZhaoSchool of Nursing, The University of Hong Kong, Hong Kong, China (Hong Kong).ORCID 0000-0003-3024-0956
Tzu Tsun LukSchool of Nursing, The University of Hong Kong, Hong Kong, China (Hong Kong).ORCID 0000-0002-7056-1976
Ningyuan GuoSchool of Nursing, The University of Hong Kong, Hong Kong, China (Hong Kong).ORCID 0000-0002-1790-3244
Man Ping WangSchool of Nursing, The University of Hong Kong, Hong Kong, China (Hong Kong).ORCID 0000-0003-4000-2388
Agnes Yuen Kwan LaiSchool of Nursing, The University of Hong Kong, Hong Kong, China (Hong Kong).ORCID 0000-0002-7321-2632
Bonny Yee Man WongSchool of Public Health, The University of Hong Kong, Hong Kong, China (Hong Kong).ORCID 0000-0002-7642-1528
Daniel Yee Tak FongSchool of Nursing, The University of Hong Kong, Hong Kong, China (Hong Kong).ORCID 0000-0001-7365-9146
Sophia Siu Chee ChanSchool of Nursing, The University of Hong Kong, Hong Kong, China (Hong Kong).ORCID 0000-0002-6349-3717
Tai Hing LamSchool of Public Health, The University of Hong Kong, Hong Kong, China (Hong Kong).ORCID 0000-0002-2033-9971

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundConvenient and quality family communication improves family functioning and well-being. Using mobile instant messaging (IM) for family communication is increasingly popular, but its association with family functioning and family well-being has not been reported.

objectiveThe aim of this study was to examine the association of the use of family IM chat groups with family functioning and well-being, and the mediating effect of family communication quality among Chinese adults in Hong Kong.

methodsWe analyzed data from the Family and Health Information Trend Survey (FHInTS), a territory-wide, probability-based telephone survey conducted in 2017. The quality of family communication, family functioning, and well-being was assessed using the Family Communication Scale; Family Adaptation, Partnership, Growth, Affection, and Resolve (APGAR) Scale; and Family Well-Being Scale (family heath, harmony, and happiness), respectively. Respondents also reported the number of family IM chat groups (0, 1, 2, ≥3), and numbers of IM messages received (<1, 1-2, 3-10, 11-20, >20) and sent (<1, 1-2, 3-10, 11-20, >20) daily. The frequency of family IM chat interaction (range 0-8) was calculated by combining the number of messages received from and sent to the family IM chat groups daily. Covariates included sociodemographic characteristics and the frequency of family face-to-face communication (often, sometimes, seldom, or never). Data were weighted by sex, age, and education of the general population. Adjusted β coefficients of family functioning and well-being in relation to having a family IM chat group, and numbers of messages received and sent were calculated. The mediation effects of family communication on these associations were assessed, controlling for the covariates.

resultsA random sample of 1638 Chinese adults (45.6% men; 78.1% aged 25 to 64 years) were interviewed (response rate: 74.4%). Female, younger age, being married or cohabiting, higher education, higher income, better family functioning, and well-being were associated with having at least one family IM chat group (all P<.01). Higher scores of family communication, family APGAR, and family well-being were associated with having more family IM chat groups and more messages received from and sent to family IM chat groups daily (all P for trend <.01). More frequent family IM chat interaction was associated with higher scores of family communication, family APGAR, and family well-being (β=.16-.83, all P for trend <.001). The associations of family IM chat interaction with family functioning and well-being were moderately (51.0%-59.6%) mediated by family communication.

conclusionsUse of a family IM chat group was associated with higher family functioning and well-being, and the association was partially mediated by family communication.

Indexed as

CommunicationText MessagingAdultCross-Sectional StudiesFemaleHappinessHealth SurveysHumansMaleSurveys and Questionnaireschat groupsfamily communicationfamily functioningfamily well-beingmobile instant messaging

Identifiers

PMID33720034
PMCPMC8074847

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.