Evidence map›Paper›PMID 25608460›Full record

ArticleInternational journal of behavioral medicine2015

Dieting Increases the Likelihood of Subsequent Obesity and BMI Gain: Results from a Prospective Study of an Australian National Sample.

Mohammad Siahpush, Melissa Tibbits, Raees A Shaikh, Gopal K Singh, Asia Sikora Kessler, Terry T-K Huang

Abstract read
PubMed Publisher
In one paragraph

Article in International journal of behavioral medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 7% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Obesity, political responsibility, and the politics of needs.Medicine, health care, and philosophy · 2019
    Article
  8. Review
  9. Article
  10. 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

6 authors at 2 institutions in 1 country.

Mohammad SiahpushDepartment of Health Promotion, Social and Behavioral Health, College of Public Health, University of Nebraska Medical Center, 984365 Nebraska Medical Center, Omaha, NE, 68198-4365, USA. msiahpush@unmc.edu.
Melissa TibbitsCollege of Public Health, University of Nebraska Medical Center, 984365 Nebraska Medical Center, Omaha, NE, 68198-4365, USA. mtibbits@unmc.edu.
Raees A ShaikhCollege of Public Health, University of Nebraska Medical Center, 984365 Nebraska Medical Center, Omaha, NE, 68198-4365, USA. raees.shaikh@unmc.edu.
Gopal K SinghUS Department of Health and Human Services, 5600 Fishers lane, Room 18-41, Rockville, MD, 20857, USA. gsingh@hrsa.gov.
Asia Sikora KesslerCollege of Public Health, University of Nebraska Medical Center, 984365 Nebraska Medical Center, Omaha, NE, 68198-4365, USA. asia.sikora@unmc.edu.
Terry T-K HuangCollege of Public Health, University of Nebraska Medical Center, 984365 Nebraska Medical Center, Omaha, NE, 68198-4365, USA. tthuang@unmc.edu.
University of Nebraska Medical Center · USUnited States Department of Health and Human Services · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiet is a major determinant of obesity; however, findings from the studies examining how dieting to lose weight affects weight gain have been inconclusive. PURPOSE: Our aim was to examine the longitudinal association of frequency of dieting for weight loss with (a) obesity status and (b) body mass index (BMI) change.

methodsWe used data from Waves 9 (2009) and 10 (2010) of the Household Income and Labour Dynamics in Australia (HILDA) survey. Binominal logistic regression estimated the association of frequency of dieting in 2009 on probability of obesity in 2010. Multinomial logistic regression estimated the association of frequency of dieting in 2009 on the probability of BMI gain versus BMI maintenance and BMI loss between 2009 and 2010. The analysis sample size was 8824.

resultsCompared to those who were never on a diet in the previous year, the odds of obesity were 1.9, 2.9, and 3.2 times higher among those who were on a diet once, more than once, and always, respectively. Similarly, the odds of BMI gain versus BMI maintenance and also versus BMI loss were higher among those who dieted than those who did not.

conclusionsDieting to lose weight can contribute to the risk of future obesity and weight gain. Losing weight requires a commitment to change one's lifestyle and a sustained effort to maintain a healthy diet and engage in physical activity.

Indexed as

Body Mass IndexAdultAustraliaBody WeightDietDiet, ReducingFeeding BehaviorFemaleHumansLife StyleLogistic ModelsLongitudinal StudiesMaleMiddle AgedObesityProspective StudiesBody mass indexDietingObesityWeight changeWeight gainWeight loss

Identifiers

PMID25608460
OpenAlexW2069781673

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.