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

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          Abstract

          Background

          Symptoms 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.

          Methods

          Survey 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.

          Results

          Four 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.

          Conclusions

          Women 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.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12889-023-15070-7.

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          Most cited references35

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          Estimating the Dimension of a Model

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            Maximum Likelihood from Incomplete Data Via the EM Algorithm

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              Ten frequently asked questions about latent class analysis.

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                Author and article information

                Contributors
                l.wilson8@uq.edu.au
                Journal
                BMC Public Health
                BMC Public Health
                BMC Public Health
                BioMed Central (London )
                1471-2458
                21 January 2023
                21 January 2023
                2023
                : 23
                : 147
                Affiliations
                GRID grid.1003.2, ISNI 0000 0000 9320 7537, School of Public Health, Faculty of Medicine, , The University of Queensland, ; 288 Herston Road, Herston, QLD 4006 Australia
                Author information
                http://orcid.org/0000-0001-8709-8968
                Article
                15070
                10.1186/s12889-023-15070-7
                9863188
                36681787
                4ba7ef2b-2af8-4b5e-8877-2517794bacfc
                © The Author(s) 2023

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 5 October 2022
                : 17 January 2023
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100000925, National Health and Medical Research Council;
                Award ID: APP1153420
                Award ID: APP2009577
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2023

                Public health
                latent class analysis,symptom profiles,healthcare utilisation,women,australia
                Public health
                latent class analysis, symptom profiles, healthcare utilisation, women, australia

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