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The resting metabolic rate of people with severe mental illness: a systematic review and meta-analysis.
Nian, Serena Y; Hirani, Vasant; Ardill-Young, Oliver; Ward, Philip B; Curtis, Jackie; Teasdale, Scott B.
Afiliação
  • Nian SY; Discipline of Nutrition and Dietetics, Susan Wakil School of Nursing and Midwifery, Sydney Nursing School, Faculty of Medicine and Health, Charles Perkins Centre, University of Sydney, Camperdown2006, NSW, Australia.
  • Hirani V; Discipline of Nutrition and Dietetics, Susan Wakil School of Nursing and Midwifery, Sydney Nursing School, Faculty of Medicine and Health, Charles Perkins Centre, University of Sydney, Camperdown2006, NSW, Australia.
  • Ardill-Young O; Discipline of Psychiatry and Mental Health, University of New South Wales, Botany St, Kensington2031, NSW, Australia.
  • Ward PB; Mindgardens Neuroscience Network, Margarete Ainsworth Building, Barker St, Randwick2031, NSW, Australia.
  • Curtis J; Discipline of Psychiatry and Mental Health, University of New South Wales, Botany St, Kensington2031, NSW, Australia.
  • Teasdale SB; Schizophrenia Research Unit, South Western Sydney Local Health District and Ingham Institute of Applied Medical Research, Liverpool Hospital, Liverpool2170, NSW, Australia.
Br J Nutr ; 130(12): 2025-2038, 2023 12 28.
Article em En | MEDLINE | ID: mdl-37157830
ABSTRACT
People with severe mental illness (SMI), including schizophrenia and related psychoses and bipolar disorder, are at greater risk for obesity compared with people without mental illness. An altered resting metabolic rate (RMR) may be a key driving factor; however, published studies have not been systematically reviewed. This systematic review and meta-analysis aimed to determine whether the RMR of people with SMI assessed by indirect calorimetry differs from (i) controls, (ii) predictive equations and (iii) after administration of antipsychotic medications. Five databases were searched from database inception to March 2022. Thirteen studies providing nineteen relevant datasets were included. Study quality was mixed (62 % considered low quality). In the primary analysis, RMR in people with SMI did not differ from matched controls (n 2, standardised mean difference (SMD) = 0·58, 95 % CI -1·01, 2·16, P = 0·48, I2 = 92 %). Most predictive equations overestimated RMR. The Mifflin-St. Jeor equation appeared to be most accurate (n 5, SMD = -0·29, 95 % CI -0·73, 0·14, P = 0·19, I2 = 85 %). There were no significant changes in RMR after antipsychotic administration (n 4, SMD = 0·17, 95 % CI -0·21, 0·55, P = 0·38, I2 = 0 %). There is little evidence to suggest there is a difference in RMR between people with SMI and people without when matched for age, sex, BMI and body mass, or that commencement of antipsychotic medication alters RMR.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Antipsicóticos / Transtornos Mentais Tipo de estudo: Prognostic_studies / Systematic_reviews Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Antipsicóticos / Transtornos Mentais Tipo de estudo: Prognostic_studies / Systematic_reviews Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article