Evidence map›Paper›PMID 36681787›Full record

ArticleBMC public health2023

Symptom patterns and health service use of women in early adulthood: a latent class analysis from the Australian Longitudinal Study on Women's Health.

Louise F Wilson, Jenny Doust, Gita D Mishra, Annette J Dobson

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 47% 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

3 citing papers in PubMed, 1 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 1 institution in 1 country.

Louise F WilsonSchool of Public Health, Faculty of Medicine, The University of Queensland, 288 Herston Road, Herston, QLD, 4006, Australia. l.wilson8@uq.edu.au.ORCID 0000-0001-8709-8968
Jenny DoustSchool of Public Health, Faculty of Medicine, The University of Queensland, 288 Herston Road, Herston, QLD, 4006, Australia.
Gita D MishraSchool of Public Health, Faculty of Medicine, The University of Queensland, 288 Herston Road, Herston, QLD, 4006, Australia.
Annette J DobsonSchool of Public Health, Faculty of Medicine, The University of Queensland, 288 Herston Road, Herston, QLD, 4006, Australia.
The University of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSymptoms can be strong drivers for initiating interaction with the health system, especially when they are frequent, severe or impact on daily activities. Research on symptoms often use counts of symptoms as a proxy for symptom burden, however simple counts don't provide information on whether groups of symptoms are likely to occur together or whether such groups are associated with different types and levels of healthcare use. Women have a higher symptom burden than men; however studies of symptom patterns in young women are lacking. We aimed to characterise subgroups of women in early adulthood who experienced different symptom patterns and to compare women's use of different types of health care across the different symptom subgroups.

methodsSurvey and linked administrative data from 7 797 women aged 22-27 years in 2017 from the 1989-95 cohort of the Australian Longitudinal Study on Women's Health were analysed. A latent class analysis was conducted to identify subgroups of women based on the frequency of 16 symptom variables. To estimate the associations between the latent classes and health service use, we used the "Bolck, Croon and Hagenaars" (BCH) approach that takes account of classification error in the assignment of women to latent classes.

resultsFour latent classes were identified, characterised by 1) low prevalence of most symptoms (36.6%), 2) high prevalence of menstrual symptoms but low prevalence of mood symptoms (21.9%), 3) high prevalence of mood symptoms but low prevalence of menstrual symptoms, (26.2%), and high prevalence of many symptoms (15.3%). Compared to the other three classes, women in the high prevalence of many symptoms class were more likely to visit general practitioners and specialists, use more medications, and more likely to have had a hospital admission.

conclusionsWomen in young adulthood experience substantially different symptom burdens. A sizeable proportion of women experience many co-occurring symptoms across both physical and psychological domains and this high symptom burden is associated with a high level of health service use. Further follow-up of the women in our study as they enter their late 20 s and early 30 s will allow us to examine the stability of the classes of symptoms and their associations with general health and health service use. Similar studies in other populations are needed to assess the generalisability of the findings.

Indexed as

Patient Acceptance of Health CareWomen's HealthAdultAustraliaFemaleHumansLatent Class AnalysisLongitudinal StudiesMaleYoung AdultAustraliaHealthcare utilisationLatent class analysisSymptom profilesWomen

Identifiers

PMID36681787
PMCPMC9863188
OpenAlexW4317605833

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LicenceCC BY
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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.