Evidence map›Paper›PMID 27621045›Full record

Trial reportContraception2017

Does body mass index or weight perception affect contraceptive use?

Kalpesh Bhuva, Jennifer L Kraschnewski, Erik B Lehman, Cynthia H Chuang

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Contraception, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

9 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Body Appreciation and Discontinuing Contraceptive Use Due to Concern About Weight Gain: A Brief Report.International journal of sexual health : official journal of the World Association for Sexual Health · 2021
    Article
  9. 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

4 authors at 2 institutions in 1 country.

Kalpesh BhuvaDepartment of Public Health Sciences, Pennsylvania State College of Medicine, Hershey, PA 17033, USA.
Jennifer L KraschnewskiDivision of General Internal Medicine, Department of Medicine, Penn State College of Medicine, Hershey, PA 17033, USA; Department of Public Health Sciences, Pennsylvania State College of Medicine, Hershey, PA 17033, USA.
Erik B LehmanDepartment of Public Health Sciences, Pennsylvania State College of Medicine, Hershey, PA 17033, USA.
Cynthia H ChuangDivision of General Internal Medicine, Department of Medicine, Penn State College of Medicine, Hershey, PA 17033, USA; Department of Public Health Sciences, Pennsylvania State College of Medicine, Hershey, PA 17033, USA. Electronic address: cchuang@hmc.psu.edu.
Hershey (United States) · USPenn State Milton S. Hershey Medical Center · US

Funding

Penn State Clinical and Translational Science InstituteUL1TR002014 · NCATS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI KRASCHNEWSKI, JENNIFER L. · 2016 to 2025
$33.7M
Penn State Clinical and Translational Science InstituteUL1TR000127 · NCATS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI SINOWAY, LAWRENCE I · 2012 to 2015
$17.1M
NCATS NIH HHS UL1 TR000127NCATS NIH HHS UL1 TR002014
6 · The paper itself

Abstract

objectiveOverweight and obese women may avoid contraceptive methods they believe are associated with weight gain. The objective of this study was to examine the role of weight and weight perception on contraceptive use. STUDY

designUsing cross-sectional data from the MyNewOptions study, we analyzed contraceptive use among 987 privately insured, sexually active women aged 18-40 years. Contraception was categorized into three groups: (1) long-acting reversible contraceptives (LARCs), (2) non-LARC prescription methods and (3) nonprescription methods/no method. Multinomial logistic regression was used to model the effect of body mass index category and weight perception on contraceptive use while controlling for pregnancy intentions, sexual behavior and sociodemographic characteristics.

resultsEighty-three (8.4%) women were using LARCs, 490 (49.6%) women were using non-LARC prescription methods and 414 (42.0%) were using nonprescription methods or no method. In the adjusted multinomial model, overweight [adjusted odds ratio (aOR) 3.84, 95% confidence interval (CI) 1.85-7.98) and obese women (aOR 2.82, 95% CI 1.18-6.72) were significantly more likely to use LARCs compared to normal-weight women. There were greater adjusted odds of overweight and obese women using nonprescription methods/no method compared with non-LARC prescription methods, but this finding did not reach statistical significance. Weight perception was not associated with contraceptive use.

conclusionIn this study sample, overweight and obese women were more likely to use LARCs than normal-weight women. It will be important to further understand how weight influences women and providers' views on contraception in order to better assist women with individualized, patient-centered contraceptive decision making. IMPLICATIONS: Overweight and obese women may be reluctant to use contraceptive methods they believe are associated with weight gain (i.e., pills, shot), but how that affects contraceptive use is unclear. Compared with normal-weight women, overweight and obese women in this study were more likely to use LARCs than non-LARC prescription methods.

Indexed as

Body Mass IndexBody WeightContraception BehaviorHealth Knowledge, Attitudes, PracticeAdolescentAdultContraceptionCross-Sectional StudiesFemaleHumansLogistic ModelsMultivariate AnalysisObesityPennsylvaniaPregnancyYoung AdultContraceptionLong-acting contraceptive methodsObesityOverweightWeight perception

Identifiers

PMID27621045
PMCPMC6333300
OpenAlexW2519553737

What OpenQuestion holds

Textmetadata
LicenceTDM
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.