Evidence map›Paper›PMID 30128932›Full record

Trial reportInternational journal of behavioral medicine2018

Demographic and Social-Cognitive Factors Associated with Weight Loss in Overweight, Pre-diabetic Participants of the PREVIEW Study.

Sylvia Hansen, Maija Huttunen-Lenz, Diewertje Sluik, Jennie Brand-Miller, Mathijs Drummen, Mikael Fogelholm, Teodora Handjieva-Darlenska, Ian Macdonald, Alfredo J Martinez, Thomas Meinert Larsen and 3 more

Abstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in International journal of behavioral medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Observational
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

13 authors.

Sylvia HansenDepartment of Exercise and Health Sciences, University of Stuttgart, Stuttgart, Germany. Sylvia.hansen@inspo.uni-stuttgart.de.ORCID http://orcid.org/0000-0003-2304-9248
Maija Huttunen-LenzDepartment of Exercise and Health Sciences, University of Stuttgart, Stuttgart, Germany.
Diewertje SluikDivision of Human Nutrition, Wageningen University, Wageningen, Netherlands.
Jennie Brand-MillerCharles Perkins Centre and School of Life and Environmental Biosciences, University of Sydney, Sydney, Australia.
Mathijs DrummenDepartment of Human Biology, Maastricht University, Maastricht, Netherlands.
Mikael FogelholmDepartment of Food and Environmental Sciences, University of Helsinki, Helsinki, Finland.
Teodora Handjieva-DarlenskaDepartment of Pharmacology and Toxicology, Medical University of Sofia, Sofia, Bulgaria.
Ian MacdonaldMRC/ARUK Centre for Musculoskeletal Ageing Research, National Institute for Health Research (NIHR) Nottingham Biomedical Research Centre, Division of Physiology, Pharmacology and Neuroscience, School of Life Sciences, Queen's Medical Centre, Nottingham, UK.
Alfredo J MartinezCenter for Nutrition Research, University of Navarra, Pamplona, Spain.
Thomas Meinert LarsenDepartment of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark.
Sally PoppittHuman Nutrition Unit, School of Biological Sciences, University of Auckland, Auckland, New Zealand.
Anne RabenDepartment of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark.
Wolfgang SchlichtDepartment of Exercise and Health Sciences, University of Stuttgart, Stuttgart, Germany.

Funding

EU 7th framework Programme 312057Health Research Council of New Zealand 14/191
6 · The paper itself

Abstract

purposeWeight loss has been demonstrated to be a successful strategy in diabetes prevention. Although weight loss is greatly influenced by dietary behaviors, social-cognitive factors play an important role in behavioral determination. This study aimed to identify demographic and social-cognitive factors (intention, self-efficacy, outcome expectancies, social support, and motivation with regard to dietary behavior and goal adjustment) associated with weight loss in overweight and obese participants from the PREVIEW study who had pre-diabetes.

methodProspective correlational data from 1973 adult participants were analyzed. The participants completed psychological questionnaires that assessed social-cognitive variables with regard to dietary behavior. Stepwise multiple regression analyses were performed to identify baseline demographic and social-cognitive factors associated with weight loss.

resultsOverall, being male, having a higher baseline BMI, having a higher income, perceiving fewer disadvantages of a healthy diet (outcome expectancies), experiencing less discouragement for healthy eating by family and friends (social support), and lower education were independently linked to greater weight loss. When evaluating females and males separately, education was no longer associated with weight loss.

conclusionThe results indicate that a supportive environment in which family members and friends avoid discouraging healthy eating, with the application of a strategy that uses specific behavior change techniques to emphasize the benefits of outcomes, i.e., the benefits of a healthy diet, may support weight loss efforts. Weight loss programs should therefore always address the social environment of persons who try to lose body weight because family members and friends can be important supporters in reaching a weight loss goal.

Indexed as

Weight LossAdultAgedBehavior TherapyBody WeightCognitionFemaleFriendsHumansIntentionMaleMiddle AgedMotivationObesityOverweightPrediabetic StateBehavioral determinationLifestyle interventionSocial-cognitive factorsWeight loss

Identifiers

PMID30128932
PMCPMC6244565

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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.