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The Association Between Lean-to-Fat Mass Ratio and Cardiometabolic Abnormalities: An Analytical Cross-Sectional Study
Jamee Guerra Valencia1, Antonio Castillo-Paredes2, Carolina Gibaja-Arce3
1Facultad de Ciencias de la Salud, Universidad Privada del Norte, Lima 15314, Peru.
Insights
Higher lean-to-fat mass ratio (LFMR) is linked to fewer cardiometabolic abnormalities (CAs) in Peruvian adults. This study highlights LFMR
Area of Science:
- Public Health
- Human Physiology
- Epidemiology
Background:
- Cardiovascular diseases (CVDs) pose a significant global health challenge, particularly in Latin America.
- Cardiometabolic abnormalities (CAs), including lipid profile, glucose, and blood pressure issues, are key contributors to CVD.
- Previous research in Latin America has focused on traditional obesity measures, neglecting body composition like lean-to-fat mass ratio (LFMR).
Purpose of the Study:
- To investigate the association between the lean-to-fat mass ratio (LFMR) and cardiometabolic abnormalities (CAs).
- To analyze body composition's role in cardiometabolic health within the adult Peruvian population.
Main Methods:
- An analytical cross-sectional study utilized secondary data from the PERU MIGRANT study (2007).
- Cardiometabolic abnormalities (CAs) were defined as having ≥ 2 out of six metabolic risk factors.
- A generalized linear model analyzed the association between LFMR tertiles and CAs, calculating adjusted prevalence ratios (aPRs).
Main Results:
- The study included 959 adults aged 30+; 50.9% had CAs.
- A higher LFMR showed a significant inverse association with CAs in most female age groups and younger males (30-44 years).
- Associations varied by sex and age, with no significant link found between LFMR and CAs in older males (45-59 years).
Conclusions:
- The lean-to-fat mass ratio (LFMR) is negatively associated with cardiometabolic abnormalities (CAs) in the Peruvian adult population.
- LFMR is a relevant indicator for understanding and addressing cardiometabolic health disparities.
Background:
Cardiovascular diseases (CVDs) are a global health threat, significantly impacting Latin America. Cardiometabolic abnormalities (CAs), encompassing lipid profile, fasting plasma glucose, and blood pressure, contribute to CVD prevalence. Despite high CA incidence, research in Latin America has primarily focused on traditional adiposity indices, overlooking the intricate relationship between fat and lean body components. The study aimed to analyze the association between the lean-to-fat mass ratio (LFMR) and CAs in the adult Peruvian population.
Methods:
This was an analytical cross-sectional study using secondary data from the PERU MIGRANT study (2007, 989 participants). The main outcome variable was CA defined as having ≥ 2 out of six metabolic components (high triglycerides, impaired fasting glucose, high blood pressure, low high-density lipoprotein (HDL)-cholesterol, insulin resistance, and high C-reactive protein). The main exposure variable LFMR was divided into tertiles. A generalized linear model was used with log link and robust variance Poisson family to calculate crude (cPR) and adjusted prevalence ratios (aPRs) and 95% confidence intervals (95% CIs).
Results:
A total of 959 adults aged 30 years or older were included in the analysis (53% females). The prevalence of CA was 50.9%. Females aged 30 - 44 years old showed statistically significant inverse associations for the middle (aPR: 0.57, 95% CI: 0.42 - 0.78) and highest (aPR: 0.22, 95% CI: 0.14 - 0.35) LFMR categories. Similar trends were seen for females aged 45 - 59 years and ≥ 60 years, and males aged 30 - 44 years, while for males aged 45 - 59 years, only the middle LFMR category was associated. No statistically significant association between LFMR and CA was found among old males.
Conclusions:
LFMR was negatively associated with CA, among the Peruvian adult population. These findings underscore the relevance of LFMR in understanding cardiometabolic health disparities.
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