Evidence map›Paper›PMID 33401543›Full record

ArticleInternational journal of environmental research and public health2021

Ethnic Disparities in Social Capital and Health among Jewish and Arab Participants in the Israeli Mamanet Cachibol League.

Yuval Paldi, Daniel S Moran, Orna Baron-Epel, Shiran Bord, Riki Tesler

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 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

5 authors.

Yuval PaldiDepartment of Health Systems Management, Faculty of Health Science, Ariel University, Ariel 40700, Israel.
Daniel S MoranDepartment of Health Systems Management, Faculty of Health Science, Ariel University, Ariel 40700, Israel.
Orna Baron-EpelSchool of Public Health, Faculty of Social Welfare and Health Sciences, University of Haifa, Haifa 31905, Israel.ORCID 0000-0003-3447-2594
Shiran BordDepartment of Health Systems Management, The Max Stern Yezreel Valley College, Emek Yezreel 1930600, Israel.ORCID 0000-0002-5712-9855
Riki TeslerDepartment of Health Systems Management, Faculty of Health Science, Ariel University, Ariel 40700, Israel.ORCID 0000-0001-6070-6193

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Israeli Mamanet Cachibol League (MCL) serves as a community model that incorporates physical activity and amateur team sports among women. Team sports have been shown to bridge gaps and build positive relationships between communities. There is a paucity of data regarding the advantages of team sports to promote the health and well-being of women from different ethnic backgrounds. The purpose of this study was to examine the association of participation in MCL with social capital, health, and well-being across two ethnic groups: Jewish and Arab women. A cross-sectional survey was conducted among women aged 25-64: 102 Jewish and 96 Arab MCL participants, and 102 Jewish and 81 Arab non-MCL participants. Data regarding social capital (trust, social support and social involvement) and well-being (self-reported health and psychosomatic and depressive symptoms) were analyzed using two-way analyses of covariance and multiple regression models with sequential entry of the variables. MCL participants from both ethnic groups reported higher social capital (

Indexed as

ArabsHealth Status DisparitiesJewsSocial CapitalSportsAdultCross-Sectional StudiesFemaleHumansIsraelMiddle Agedamateur team sportsArab and Jewish womenself-reported healthsocial capitalwell-being

Identifiers

PMID33401543
PMCPMC7795045

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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.