Evidence map›Paper›PMID 27891059›Full record

ArticleClinical medicine insights. Women's health2016

Ethnic Identity Attachment and Motivation for Weight Loss and Exercise Among Rural, Overweight, African-American Women.

K Bryant Smalley, Jacob C Warren, Sydney McClendon, Wilburn Peacock, Marisol Caro

Abstract read
In one paragraph

Article in Clinical medicine insights. Women's health, 2016. 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

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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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.

K Bryant SmalleyExecutive Director, Rural Health Research Institute, Georgia Southern University, Statesboro, GA, USA.; Associate Professor of Psychology, Georgia Southern University, Statesboro, GA, USA.
Jacob C WarrenEndowed Chair and Director, Center for Rural Health and Health Disparities, Mercer University School of Medicine, Macon, GA, USA.; Associate Professor of Community Medicine, Mercer University School of Medicine, Macon, GA, USA.
Sydney McClendonUndergraduate Student, Grinnell College, Grinnell, IA, USA.
Wilburn PeacockGraduate Student, Florida State University, Tallahassee, FL, USA.
Marisol CaroUndergraduate Student, New Mexico State University, Las Cruces, NM, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rural and minority women are disproportionately impacted by the obesity epidemic; however, little research has studied the intersection of these disparity groups. The purpose of this study was to examine the influence of racial identity on motivation for weight loss and exercise among rural, African-American women with an obesity-linked chronic disease. A total of 154 African-American women were recruited from the patient population of a Federally Qualified Health Center in the rural South to complete a questionnaire battery including the Multigroup Ethnic Identity Measure and separate assessments of motivation for weight loss and exercise. Multivariate analyses, controlling for age, education status, insurance status, and body mass index revealed that attachment to ethnic identity was predictive of motivation for exercise but not for weight loss. Our findings suggest that attachment to ethnic identity may be an important factor in motivation for change among African-American women, particularly with respect to exercise, with direct implications for the development of culturally and geographically tailored weight loss interventions.

Indexed as

African-Americanexercisemotivationruralwomen

Identifiers

PMID27891059
PMCPMC5115611

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.