Evidence map›Paper›PMID 31124022›Full record

ArticlePrevention science : the official journal of the Society for Prevention Research2019

Patterns of Family, School, and Community Promotive Factors and Health Disparities Among Youth: Implications for Prevention Science.

Sabrina R Liu, Maryam Kia-Keating, Karen Nylund-Gibson

Abstract read
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In one paragraph

Article in Prevention science : the official journal of the Society for Prevention Research, 2019. 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
–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

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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

3 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

3 authors.

Sabrina R LiuDepartment of Counseling, Clinical, & School Psychology, University of California, Santa Barbara, CA, 93106-9490, USA. sabrina_r_liu@ucsb.edu.ORCID 0000-0002-6767-5876
Maryam Kia-KeatingDepartment of Counseling, Clinical, & School Psychology, University of California, Santa Barbara, CA, 93106-9490, USA.
Karen Nylund-GibsonDepartment of Education, University of California, Santa Barbara, CA, 93106-9490, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increasing knowledge of factors that promote health among youth from diverse backgrounds is an important step towards addressing health disparities. Although many promotive factors have been identified individually, there is an overabundance of research on risk factors, and a comparable dearth of knowledge regarding the influence of combinations of promotive factors. The current study examined how promotive factors across family, school, and community contexts co-occur to promote health among youth of different race/ethnicity. Utilizing a nationally representative sample of Black (10%), Latinx (12%), and White (77%) youth ages 12-17 (N = 30,668), latent class analysis was employed to identify classes of youth who endorsed homogenous patterns of promotive factors. Associations between class membership and health were explored. Each subsample was best characterized by its own 4-class model, with significant differences in patterns of promotive factors experienced by Black, Latinx, and White youth. Youth health outcomes also varied significantly by class membership (p < .05). Greater access to more promotive factors was associated with better health, and low access to community and school promotive factors was associated with worse health. Results suggest that increasing promotive factors in school, family, and community settings may help to prevent poor health outcomes; however, jointly addressing discrimination against racial/ethnic minority youth through education, policy, and practice is also needed to address health disparities.

Indexed as

FamilyHealth PromotionHealth Status DisparitiesSchoolsAdolescentBlack or African AmericanChildFemaleHispanic or LatinoHumansLatent Class AnalysisMaleSurveys and QuestionnairesWhite PeopleHealth disparitiesLatent class analysisNational Survey of Children’s HealthPromotive factorsYouth health

Identifiers

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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.