Evidence map›Paper›PMID 33201404›Full record

ArticleJournal of racial and ethnic health disparities2021

Natural Hair: a Vital Component to Black Women's Health.

Tara B Blackshear, Kelsey Kilmon

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of racial and ethnic health disparities, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 39% of its field
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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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

2 authors at 1 institution in 1 country.

Tara B BlackshearDepartment of Kinesiology, Towson University, 8000 York Road, Burdick Hall 121L, Towson, MD, 21252, USA. tblackshear@towson.edu.ORCID 0000-0002-4908-0609
Kelsey KilmonDepartment of Psychology, Towson University, Towson, MD, USA.
Towson University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hair is a barrier to physical activity engagement for Black women. Eurocentric and straight hairstyles have shown to compromise Black women's health; yet, the health implications of these hair practices have garnered little attention. This study examines the impact of natural hair on physical activity behaviors and health profiles among Black women. Sixty-nine Black women (ages 18-51) affiliated with a large predominately White institution completed demographic and hair questionnaires, Godin's Leisure-Time Exercise questionnaire, Rosenburg's self-esteem scale, and the Bankhead-Johnson hair-esteem scale. Body composition was assessed using waist circumference and body mass index. Descriptive statistics including mean, standard deviation, and percentages were employed to determine health status in each measure. Correlation analysis determined associations between each variable. Black women with natural hair were physically active, and had positive hair- and self-esteem profiles. Body composition was high; however, BMI metrics used are inappropriate for Black women. The authors conclude that natural hair may be a catalyst for Black women to improve mental and physical health. Afrocentric approaches that include affirmations of natural hairstyles are recommended to increase the effectiveness of health and physical activity promotion efforts that target Black women.

Indexed as

Black PeopleWomen's HealthAdolescentAdultBody Mass IndexExerciseFemaleHumansMiddle AgedWaist CircumferenceYoung AdultBody mass indexGenderHealth disparitiesPhysical activityRaceSelf-esteem

Identifiers

PMID33201404
OpenAlexW3104537232

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.