Evidence map›Paper›PMID 39413275›Full record

ArticleMSMR2024

Incidence of alopecia and hair loss among female active component service members, 2010-2022.

Alexis A McQuistan, Thomas Wilkerson, Sithembile L Mabila

Abstract 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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Alexis A McQuistanEpidemiology and Analysis Section, Armed Forces Health Surveillance Division, Defense Health Agency, Silver Spring, MD.
Thomas WilkersonEpidemiology and Analysis Section, Armed Forces Health Surveillance Division, Defense Health Agency, Silver Spring, MD.
Sithembile L MabilaEpidemiology and Analysis Section, Armed Forces Health Surveillance Division, Defense Health Agency, Silver Spring, MD.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to determine the incidence of hair loss among U.S. active component service women, describe the types of hair loss, and summarize potential racial and ethnic disparities of hair loss among service women over the last 12 years. Estimates of traction alopecia among service members have been difficult, as there are no specific diagnosis codes for traction alopecia in the International Classification of Diseases, 9th and 10th revisions (ICD-9/ICD-10). A prior study on the prevalence of alopecia among female active component service women between 2010 and 2019 reported that 2.7% had traction alopecia diagnoses. That estimate may not be accurate, as the previous study used the ICD-9 code 704.01 (alopecia areata) and ICD-10 code Q84.0 (congenital alopecia), which are not fully representative of traction alopecia cases in administrative health records. This study used ICD-9/ICD-10 diagnostic codes 704.0 (ICD-9), L63, L64, L65, and L66 (ICD-10) to define cases of alopecia. The study population included female active component service members in the U.S. Army, Navy, Air Force, and Marine Corps between January 1, 2010 and December 31, 2022. The overall incidence rate of alopecia was 804.4 per 100,000 person-years. Non-Hispanic Black and Hispanic female active component service members had the highest incidence rates among all races and ethnicities, at 1,138.7 and 1,013.6 per 100,000 person-years, respectively. Non-Hispanic Black female active component service members were more than twice as likely to be diagnosed with alopecia compared to non-Hispanic White female active component service members.

Indexed as

AlopeciaMilitary PersonnelAdultBlack or African AmericanEthnicityFemaleHispanic or LatinoHumansIncidenceMiddle AgedPopulation SurveillanceUnited StatesWhiteYoung Adultalopeciaandrogenicareataarmed forcescicatricialfemaleshair lossmilitaryservice memberswomen

Identifiers

PMID39413275
PMCPMC11488793

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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.