Systematic Review and Meta-Analysis of Metabolic Syndrome and Its Components in Latino Immigrants to the USA.
Talita Monsores PaixãoLiliane Reis TeixeiraCarlos Augusto Ferreira de AndradeDebora SepulvidaMartha Silvia Martinez-SilveiraCamila NunesCarlos Eduardo Gomes SiqueiraPublished in: International journal of environmental research and public health (2023)
The Metabolic Syndrome (MetS) is an increasingly prevalent condition globally. Latino populations in the USA have shown an alarming increase in factors associated with MetS in recent years. The objective of the present systematic review was to determine the prevalence of MetS and its risk factors in immigrant Latinos in the USA and perform a meta-analysis of those prevalence. The review included cross-sectional, cohort, or case−control studies involving adult immigrant Latinos in the USA, published during the period 1980−2020 in any language. Studies involving individuals who were pregnant, aged <18 years, immigrant non-Latinos, published outside the 1980−2020 period, or with other design types were excluded. The Pubmed, Web of Science, Embase, Lilacs, Scielo, and Google Scholar databases were searched. The risk of bias was assessed using the checklists of the Joanna Briggs Institute. The review included 60 studies, and the meta-analysis encompassed 52 studies. The pooled prevalence found for hypertension, diabetes, general obesity, and abdominal obesity were 28% (95% Confidence Interval (CI): 23−33%), 17% (95% CI: 14−20%), 37% (95% CI: 33−40%), and 54% (95% CI: 48−59%), respectively. The quality of the evidence of the primary studies was classified as low or very low. Few studies including immigrants from South America were identified. Further studies of those immigrants are needed due to the cultural, dietary, and language disparities among Latin American countries. The research protocol was registered with the Open Science Framework (OSF).
Keyphrases
- case control
- metabolic syndrome
- systematic review
- risk factors
- meta analyses
- insulin resistance
- type diabetes
- cross sectional
- public health
- randomized controlled trial
- blood pressure
- pregnant women
- body mass index
- autism spectrum disorder
- machine learning
- physical activity
- weight loss
- skeletal muscle
- adipose tissue
- minimally invasive
- artificial intelligence
- childhood cancer