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1.
PLoS One ; 19(9): e0311312, 2024.
Artigo em Inglês | MEDLINE | ID: mdl-39348367

RESUMO

BACKGROUND: The lipid accumulation product (LAP) and the visceral adiposity index (VAI) are suggested as dependable measures for assessing visceral fat levels. Prediabetes is recognized as a condition that precedes the potential onset of diabetes. The objective of this research is to investigate how VAI and LAP are related to prediabetes among the adult population in the United States. METHODS: Information from the 2007-2020 National Health and Nutrition Examination Survey (NHANES) was scrutinized in a cross-sectional study. To evaluate the connection between VAI or LAP and the presence of prediabetes, both univariate analysis and multivariate logistic regression were utilized. Threshold effect analysis and fitted smoothing curves were used to delve into the non-linear association between VAI or LAP and prediabetes. Additional analyses were performed on specific subgroups, along with tests to explore potential interactions. RESULTS: In general, 12,564 American adults were included. After full adjustment, prediabetes with VAI (OR: 1.128, 95% CI: 1.073-1.185) or LAP (OR: 1.006, 95% CI: 1.004-1.008) showed a positive correlation. Individuals in the 4th VAI quartile group faced a significant 61.9% elevated risk for prediabetes (OR: 1.619, 95% CI: 1.354-1.937) when contrasted to those in the 1st VAI quartile. Participants in the 4th LAP quartile group had a significant 116.4% elevated risk for prediabetes (OR: 2.164, 95% CI: 1.747-2.681) when contrasted to individuals of the 1st LAP quartile. Smooth curve fitting analysis revealed a nonlinear correlation of VAI or LAP and prediabetes, and threshold effect analysis was used to determine an inflection point of 4.090 for VAI and 68.168 for LAP. CONCLUSIONS: The values of VAI and LAP are positively associated with the prevalence of prediabetes. The VAI and LAP indices may be used as predictors of prediabetes.


Assuntos
Gordura Intra-Abdominal , Produto da Acumulação Lipídica , Inquéritos Nutricionais , Estado Pré-Diabético , Humanos , Estado Pré-Diabético/epidemiologia , Masculino , Feminino , Estudos Transversais , Adulto , Pessoa de Meia-Idade , Estados Unidos/epidemiologia , Gordura Intra-Abdominal/metabolismo , Adiposidade , Idoso , Fatores de Risco
2.
Front Endocrinol (Lausanne) ; 13: 999702, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-36157474

RESUMO

Objective: To investigate the effect of multiple eHealth-delivered lifestyle interventions on obesity-related anthropometric outcomes in children and adolescents. Methods: The Medline (via PubMed), Embase, Cochrane Library, Web of Science, CBM, VIP, CNKI, and Wanfang electronic databases were systematically searched from their inception to March 18, 2022, for randomized controlled trials (RCTs). Meta-analyses were performed to investigate the effect of multiple eHealth-delivered lifestyle interventions on obesity-related anthropometric outcomes (body mass index [BMI], BMI Z-score, waist circumference, body weight, and body fat%). Two independent investigators reviewed the studies for accuracy and completeness. All included studies were evaluated using the Cochrane Risk-of-Bias (ROB) Tool. Results: Forty trials comprising 6,403 patients were selected for the meta-analysis. The eligible trials were published from 2006 to 2022. Compared with the control group, the eHealth-intervention group was more effective in reducing BMI (weighted mean difference [WMD] = -0.32, 95% confidence interval [CI]: -0.50 to -0.13, I2 = 85.9%), BMI Z-score (WMD = -0.08, 95% CI: -0.14 to -0.03, I2 = 89.1%), waist circumference (WMD = -0.87, 95% CI: -1.70 to -0.04, I2 = 43.3%), body weight (WMD = -0.96, 95% CI: -1.55 to -0.37, I2 = 0.0%), and body fat% (WMD = -0.59, 95% CI: -1.08 to -0.10, I2 = 0.0%). The subgroup analysis showed that parental or school involvement (WMD = -0.66, 95% CI: -0.98 to -0.34), eHealth-intervention duration of >12 weeks (WMD = -0.67, 95% CI: -0.96 to -0.38), and mobile-based interventions (WMD = -0.78, 95% CI: -1.13 to -0.43) had a significantly greater intervention effect size on BMI. Conclusions: This review recommends that multiple eHealth-delivered lifestyle strategies may be useful for preventing or treating overweight and obesity among children and adolescents. However, our results should be cautiously interpreted due to certain limitations in our study.


Assuntos
Obesidade Infantil , Telemedicina , Adolescente , Peso Corporal , Criança , Humanos , Estilo de Vida , Sobrepeso/prevenção & controle , Obesidade Infantil/prevenção & controle
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