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ArticleSocial psychiatry and psychiatric epidemiology2025

Identifying and comparing types of social comparisons on social networking sites among mothers with infants: Differences in maternal loneliness by types.

Ryuta Onishi, Hanami Tone, Funa Maruyama, Minori Kubota, Nana Chino

Abstract readComparative Study
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In one paragraph

Article in Social psychiatry and psychiatric epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Ryuta OnishiFaculty of Nursing, Toyama Prefectural University, 2-2-78, Nishinagae, Toyama-Shi, Toyama-ken, 930-0975, Japan. onishi.r1121@pu-toyama.ac.jp.ORCID http://orcid.org/0000-0002-5146-6690
Hanami ToneGraduate School of Health Sciences, Hokkaido University, Kita 12, Nishi 5, Kita-Ku, Sapporo-Shi, Hokkaido, 060-0812, Japan.
Funa MaruyamaDepartment of Health Sciences, School of Medicine, Hokkaido University, Kita 12, Nishi 5, Kita-Ku, Sapporo-Shi, Hokkaido, 060-0812, Japan.
Minori KubotaDepartment of Health Sciences, School of Medicine, Hokkaido University, Kita 12, Nishi 5, Kita-Ku, Sapporo-Shi, Hokkaido, 060-0812, Japan.
Nana ChinoDepartment of Health Sciences, School of Medicine, Hokkaido University, Kita 12, Nishi 5, Kita-Ku, Sapporo-Shi, Hokkaido, 060-0812, Japan.

Funding

Japan Society for the Promotion of Science 19K19728
6 · The paper itself

Abstract

purposeLoneliness among mothers of infants is a serious problem that leads to increased stress and depression. Social networking sites (SNS) are platforms commonly used by mothers to gain information and socialize; however, the sites can also lead to social comparison. This study aimed to identify and compare the types of parental social comparisons on SNS among mothers with infants and examine their differences regarding maternal loneliness.

methodsA random sampling cross-sectional survey of 233 Japanese mothers with infants aged 6-11 months old was conducted. The questionnaire considered the frequency of parental social comparisons on SNS and the associated positive/negative emotions, loneliness, perceived social support, SNS use, and participant characteristics. Hierarchical cluster analysis and analysis of covariance were used to examine differences in loneliness by social comparison type.

resultsIdentified types of parental social comparisons on SNS included: "Negative-leaning comparisons (n = 40)," "Ambivalent comparisons (n = 53)," "Heavy comparisons (n = 39)," and "Positive-leaning comparisons (n = 67)." The "non-comparative group (n = 34)" made no comparisons. The loneliness scores of the "Negative-leaning comparisons" group were significantly higher than those of the "Ambivalent comparisons," "Positive-leaning comparisons," and "Non-comparative" groups (p = 0.019, p = 0.017, and p < 0.001, respectively). Additionally, the loneliness scores of the "Heavy comparisons" group were higher than those of the "Non-comparative" group (p = 0.005).

conclusionInterventions aimed at enhancing digital literacy among mothers and providing tailored support based on their social comparison types are crucial for mitigating the negative effects of parental social comparisons on SNS.

Indexed as

LonelinessMothersSocial NetworkingAdultCross-Sectional StudiesFemaleHumansInfantJapanMaleSocial SupportSurveys and QuestionnairesEmotion of comparisonLonelinessMothersParentingSocial comparisonSocial networking site

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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.