Evidence map›Paper›PMID 29736471›Full record

ArticleContemporary clinical trials communications2016

Design of a lifestyle intervention to slow menopause-related progression of intra-abdominal adipose tissue in women: The Women in the Southside Health and Fitness (WISHFIT) study.

Sheila A Dugan, Brittney Lange-Maia, Kelly Karavolos, Rasa Kazlauskaite, Chiquia S Hollings, Elizabeth Avery, Lisa Nackers, Elizabeth Lynch, Jennifer Ventrelle, Patricia Normand and 5 more

Open access · goldAbstract read
In one paragraph

Article in Contemporary clinical trials communications, 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, top 92% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Trial
  2. Review
  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

15 authors at 2 institutions in 1 country.

Sheila A DuganDepartment of Preventive Medicine, Rush University Medical Center, Chicago, IL, United States.
Brittney Lange-MaiaDepartment of Preventive Medicine, Rush University Medical Center, Chicago, IL, United States.
Kelly KaravolosDepartment of Preventive Medicine, Rush University Medical Center, Chicago, IL, United States.
Rasa KazlauskaiteDepartment of Preventive Medicine, Rush University Medical Center, Chicago, IL, United States.
Chiquia S HollingsDepartment of Preventive Medicine, Rush University Medical Center, Chicago, IL, United States.
Elizabeth AveryDepartment of Preventive Medicine, Rush University Medical Center, Chicago, IL, United States.
Lisa NackersSchool of Medicine and Public Health, University of Wisconsin-Madison, Madison WI, United States.
Elizabeth LynchDepartment of Preventive Medicine, Rush University Medical Center, Chicago, IL, United States.
Jennifer VentrelleDepartment of Preventive Medicine, Rush University Medical Center, Chicago, IL, United States.
Patricia NormandDepartment of Preventive Medicine, Rush University Medical Center, Chicago, IL, United States.
Tricia JohnsonHealth Systems Management, Rush University Medical Center, Chicago, IL, United States.
Francis FullamStrategic Planning, Marketing and Program Development, Rush University Medical Center, Chicago, IL, United States.
Karla Shipp-JohnsonDepartment of Preventive Medicine, Rush University Medical Center, Chicago, IL, United States.
JoEllen WilburCollege of Nursing, Rush University Medical Center, Chicago, IL, United States.
Lynda H PowellDepartment of Preventive Medicine, Rush University Medical Center, Chicago, IL, United States.
Rush University Medical Center · USUniversity of Wisconsin–Madison · US

Funding

Resource and Coordination UnitU01HL097894 · NHLBI · RUSH UNIVERSITY MEDICAL CENTER · PI POWELL, LYNDA H · 2009 to 2014
$7.1M
NHLBI NIH HHS U01 HL097894
6 · The paper itself

Abstract

backgroundChanges in reproductive hormones during menopause are associated with accumulation of intra-abdominal adipose tissue (IAAT), a subclinical indicator of cardiometabolic disease risk. Independent of reproductive hormones, unhealthy lifestyle contributes to IAAT gain. The Women in the Southside Health and Fitness (WISHFIT) Study aims to develop a lifestyle approach to slowing IAAT accumulation as women begin the menopausal transition.

methodsThe primary aim is to develop and conduct a proof-of-concept test of a multi-component, multi-level behavioral intervention targeting jointly physical activity, diet, and psychological well-being. Participants attend group sessions over 2 years to experiment with healthy living through both experiential and didactic learning, cultivate a health network, and draw on community resources to sustain change. The primary endpoint is 2-year IAAT progression, assessed using computerized tomography. Behavioral targets of treatment and secondary endpoints will be evaluated at 6, 12, 18 and 24 months. Change in social networks and community support will be assessed at 2 years.

resultsWISHFIT recruited 71 pre- and peri-menopausal Caucasian and African American women (mean ± SD age = 47.6 ± 3.4 yrs; BMI = 33.6 ± 7.3 kg/m

conclusionsWISHFIT is a multi-component, multi-level intervention aimed at producing a sustained improvement in physical activity, diet, and psychological well-being early in the menopausal transition to slow menopause-related accumulation of IAAT. It provides a model for the process of developing a behavioral treatment to manage a chronic disease.

Indexed as

Behavioral intervention developmentHealthy livingIntra-abdominal adipose tissueMenopauseMulti-level interventionPhysical activity

Identifiers

PMID29736471
PMCPMC5935904
OpenAlexW2484894103

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.