Evidence map›Paper›PMID 38359359›Full record

ArticleMSMR2024

Weight loss medication prescription prevalence in the active component, 2018-2023.

Nathan C Lorei, Shauna L Stahlman, Gi-Taik Oh, Natalie Y Wells

Open access · greenAbstract read
In one paragraph

Article in MSMR, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
12.0field-weighted citation impact, top 2% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

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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.

Nathan C LoreiUniformed Services University of the Health Sciences.
Shauna L StahlmanArmed Forces Health Surveillance Division.
Gi-Taik OhArmed Forces Health Surveillance Division.
Natalie Y WellsArmed Forces Health Surveillance Division.
Armed Forces Health Surveillance Center · USUniformed Services University of the Health Sciences · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The U.S. military has witnessed rising obesity among active component service members. The Department of Defense authorized coverage of weight loss medications in 2018, but no study has evaluated prescription prevalence within the active component. This descriptive retrospective cohort study analyzed data from active component U.S. military service members from January 2018 through June 2023. The study used data from the Defense Medical Surveillance System to determine prescription period prevalence of weight loss medication. Data on demographics, body mass index, and history of diabetes were considered. The study revealed a 100-fold increase in the prescription period prevalence of weight loss agents in the active component from their initial authorization date. Demographics associated with higher prescription period prevalence were non-Hispanic Black race and ethnicity, female sex, and older age. Service members in the health care occupations and the Navy had higher prevalence compared to other service branches and occupations. The findings indicate a significant rise in the period prevalence of weight loss prescriptions over time. Further research is recommended to assess the effectiveness, safety, and use in austere military environments.

Indexed as

Anti-Obesity AgentsMilitary PersonnelFemaleHumansPrevalenceRetrospective StudiesUnited StatesWeight LossAnti-Obesity Agentsactive componentbenzphetaminebupropionDefense Health AgencydiethylpropionliraglutidelorcaserinmedicationMHSmilitaryMilitary Health Systemnaltrexoneobesityorlistatoverweightperiod prevalencephendimetrazinephenterminphentermineprescriptionsemaglutidetopiramateTRICAREUnited Statesweightweight loss

Identifiers

PMID38359359
PMCPMC10914017
OpenAlexW4394739436

What OpenQuestion holds

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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.