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A comprehensive evaluation of predictors of obesity in women during the perimenopausal period: A systematic review and narrative synthesis.
Verma, Aditi; Malhotra, Anita; Ranjan, Piyush; Kumari, Archana; Chopra, Sakshi; Khan, Maroof A; Kaloiya, Gauri Shanker; Singh, Amandeep; Prakash, Bindu; Ahuja, Maninder.
Afiliação
  • Verma A; Department of Home Science, University of Delhi, New Delhi, India.
  • Malhotra A; Lakshmibai College, Department of Home Science, University of Delhi, New Delhi, India.
  • Ranjan P; Department of Medicine, All India Institute of Medical Sciences, New Delhi, India. Electronic address: drpiyushdost@gmail.com.
  • Kumari A; Department of Obstetrics and Gynaecology, AIIMS, New Delhi, India.
  • Chopra S; Department of Home Science, University of Delhi, New Delhi, India.
  • Khan MA; Department of Biostatistics, All India Institute of Medical Sciences, New Delhi, India.
  • Kaloiya GS; Department of Psychiatry, All India Institute of Medical Sciences, New Delhi, India.
  • Singh A; Department of Medicine, All India Institute of Medical Sciences, New Delhi, India.
  • Prakash B; Department of Medicine, All India Institute of Medical Sciences, New Delhi, India.
  • Ahuja M; Indian Menopause Society, Society of Meaningful Life Management, India.
Diabetes Metab Syndr ; 18(1): 102933, 2024 Jan.
Article em En | MEDLINE | ID: mdl-38181722
ABSTRACT

INTRODUCTION:

Obesity during perimenopausal transition can be attributed to various factors. Identifying these factors is crucial in preventing obesity and developing effective strategies to manage weight during this phase. This review aimed to systematically understand predictors of obesity during menopausal transition.

METHODS:

The review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and searched databases like PubMed, Wiley Online Library, and Cochrane Reviews. Cohort and cross-sectional studies in English language assessing obesity among menopausal women were included. The methodological quality was assessed using Joanna Briggs Checklist for critical appraisal. Risk of Bias (RoB) was generated using Review Manager 5.4.1 (RevMan). Identified predictors were assessed for overall quality of evidence using adopted Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach.

RESULTS:

This review encompassed 42 studies, (21 cross-sectional and 21 cohort) with sample ranging from 164 to 107,243 across studies. Higher parity( ≥ 3 children) emerged as a strong predictor of obesity across seven studies, with good-quality evidence. Lower physical activity was another predictor, supported by eight studies with good-quality evidence. Sociodemographic factors like lower education(<8 years or < than college degree), socioeconomic background, menopausal transition, and older age at menarche showed associations with weight gain, with moderate-quality evidence. Lifestyle factors (high-fat consumption, sedentariness, active smoking status, and psychological difficulties) also showed moderate-quality evidence.

CONCLUSION:

This review underscores the multifaceted factors associated with obesity during the perimenopausal transition. Identifying these factors will be helpful in prevention and management of obesity among these women.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Perimenopausa / Obesidade Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Female / Humans Idioma: En Revista: Diabetes Metab Syndr Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Índia

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Perimenopausa / Obesidade Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Female / Humans Idioma: En Revista: Diabetes Metab Syndr Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Índia