Accuracy of visceral adiposity indices and lipid accumulation products in the identification of adults at high cardiovascular risk

Milla, Ana Maria Gonçalvez; Chagas, Eduardo B.F.; Miola, Vitor Fernando Bordin; Zanuso, Bárbara de Oliveira; Guiguer, Élen Landgraf; Araújo, Adriano Cressoni; Tofano, Ricardo José; Quesada, Karina; Laurindo, Lucas Fornari; Barbalho, Sandra Maria

doi:10.1016/j.arteri.2023.04.002

Cited by 2 publications

(1 citation statement)

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“…As opposed to BMI, LAP can provide a more precise evaluation of the extent of fat accumulation, and a higher LAP level usually indicates more severe fat accumulation [ 9 – 11 ]. Additionally, substantial evidences have proved that LAP plays critical roles in various aspects, including diagnosing metabolic syndrome, evaluating risks for diabetes and CVD, serving as key parameter to measure the efficacy of interventions targeted at improving metabolic syndrome [ 12 ]. Therefore, LAP can be utilized as a reliable and accurate indicator to detect dynamic alterations of fat accumulation and metabolic disorder in obese individuals.…”

Section: Introductionmentioning

confidence: 99%

Whether weekend warriors (WWs) achieve equivalent benefits in lipid accumulation products (LAP) reduction as other leisure-time physical activity patterns? -Results from a population-based analysis of NHANES 2007–2018

Dai,

Zhang,

Wei

et al. 2024

BMC Public Health

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Background Obesity is characterized by excessive fat accumulation in the body. Physical activity (PA) is an effective intervention to combat obesity, but the effectiveness of different PA patterns on controlling obesity is unclear. Lipid accumulation product (LAP), derived from waist circumference and triglycerides, is a novel indicator for obesity evaluation. However, the association between PA patterns (i.e., weekend warriors and regularly active) and LAP remains unexplored. This study aims to elucidate the relationship between PA patterns and LAP in US adult population. Methods Adult individuals with complete data on LAP, PA patterns, and other covariates from the National Health and Nutrition Examination Survey (NHANES) database (2007–2018) were included in this study. Multivariate linear regression models were utilized to explore the association between PA patterns and LAP. Subgroup analyses, interaction tests, restricted cubic spline (RCS) regression analyses, and threshold and saturation effect analyses were also performed to investigate the stability and nonlinearity of PA-LAP association, respectively. Results A total of 11,212 participants were included in this study. After adjusting for all potential covariates, being regularly active (RA) (β=-8.85, P < 0.05) obtained significantly higher LAP reduction as opposed to being weekend warriors (WWs) (β=-4.70, P = 0.3841). Furthermore, subgroup analyses and interaction tests indicated that the PA-LAP association was more pronounced in individuals with higher education levels (P interaction = 0.0084) and diabetes (P interaction = 0.0062). Additionally, a significant, non-linear, and negative correlation between weekly total PA and LAP in non-inactive individuals was identified by RCS analysis (P for overall < 0.001, P for nonlinearity = 0.009). A threshold of 440 min in weekly total PA was found to arouse favorable LAP reduction. Conclusions Being regularly active obtained better LAP reduction as opposed to being WWs. For non-inactive adults, engaging in more than 440 min of PA per week helps to reduce LAP effectively.

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Section: Introductionmentioning

confidence: 99%