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What is known about the determinants of developing antipsychotic-induced metabolic syndrome and interventions to address them for community dwelling adults: a scoping review protocol

Emma Good, Debi Bhattacharya, Michelle Maden, Sion Scott

Research output: Working paperPreprint

Abstract

Introduction: Antipsychotics are the primary treatment for severe mental health conditions. Whilst antipsychotics are effective at improving psychiatric outcomes, approximately 80% of people will experience metabolic side effects (MSEs), characterised by weight gain, lipid disturbance and glucose dysregulation. Antipsychotic-induced MSEs are associated with a two-fold increased risk of developing coronary heart disease and a five-fold risk of developing type 2 diabetes.
Gender, ethnicity, age, and family history are reported non-modifiable determinants of developing antipsychotic-induced MSEs and indicate who is at highest risk. However, it is not clear which determinants are most significant to inform targeting interventions for high-risk individuals.
Antipsychotics induce increases in calorie intake and sedentary behaviours. Behavioural determinants are modifiable and provide potential intervention targets, however, the extent to which they have been studied and targeted is unclear.
The literature describes the testing of non-pharmacological interventions to target behaviours. However, few studies report clinically significant attenuation of MSEs, and the preferred healthcare setting to deliver an intervention to prevent antipsychotic-induced MSEs is yet to be established.

Methods and analysis: This review will adhere to the Joanna Briggs Institute guidance for scoping reviews and the PRISMA-ScR checklist (Appendix 1). Relevant electronic databases will be searched. Qualitative, quantitative and mixed method study designs, and evidence syntheses will be considered. One reviewer will independently screen titles and abstracts, with a 20% sample checked by two reviewers. Full text screening will be undertaken by one reviewer with a 10% sample checked by another. Data will be extracted and synthesised to address the research objectives.

Ethics and dissemination: Ethics approval is not required. Findings will be disseminated through professional networks, conference presentations and publication in a scientific journal.
Original languageEnglish
PublishermedRxiv
DOIs
Publication statusPublished - 31 Jan 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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