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Joint temporal dietary and physical activity patterns: associations with health status indicators and chronic diseases.
Lin, Luotao; Guo, Jiaqi; Aqeel, Marah M; Gelfand, Saul B; Delp, Edward J; Bhadra, Anindya; Richards, Elizabeth A; Hennessy, Erin; Eicher-Miller, Heather A.
Afiliação
  • Lin L; Department of Nutrition Science, Purdue University, West Lafayette, IN, USA.
  • Guo J; School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA.
  • Aqeel MM; Department of Nutrition Science, Purdue University, West Lafayette, IN, USA.
  • Gelfand SB; School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA.
  • Delp EJ; School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA.
  • Bhadra A; Department of Statistics, Purdue University, West Lafayette, IN, USA.
  • Richards EA; School of Nursing, Purdue University, West Lafayette, IN, USA.
  • Hennessy E; Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA.
  • Eicher-Miller HA; Department of Nutrition Science, Purdue University, West Lafayette, IN, USA.
Am J Clin Nutr ; 115(2): 456-470, 2022 02 09.
Article em En | MEDLINE | ID: mdl-34617560
ABSTRACT

BACKGROUND:

Diet and physical activity (PA) are independent risk factors for obesity and chronic diseases including type 2 diabetes mellitus (T2DM) and metabolic syndrome (MetS). The temporal sequence of these exposures may be used to create patterns with relations to health status indicators.

OBJECTIVES:

The objectives were to create clusters of joint temporal dietary and PA patterns (JTDPAPs) and to determine their association with health status indicators including BMI, waist circumference (WC), fasting plasma glucose, glycated hemoglobin, triglycerides, HDL cholesterol, total cholesterol, blood pressure, and disease status including obesity, T2DM, and MetS in US adults.

METHODS:

A 24-h dietary recall and random day of accelerometer data of 1836 participants from the cross-sectional NHANES 2003-2006 data were used to create JTDPAP clusters by constrained dynamic time warping, coupled with a kernel k-means clustering algorithm. Multivariate regression models determined associations between the 4 JTDPAP clusters and health and disease status indicators, controlling for potential confounders and adjusting for multiple comparisons.

RESULTS:

A JTDPAP cluster with proportionally equivalent energy consumed at 2 main eating occasions reaching ≤1600 and ≤2200 kcal from 1100 to 1300 and from 1700 to 2000, respectively, and the highest PA counts among 4 clusters from 0800 to 2000, was associated with significantly lower BMI (P < 0.0001), WC (P = 0.0001), total cholesterol (P = 0.02), and odds of obesity (OR 0.2; 95% CI 0.1, 0.5) than a JTDPAP cluster with proportionally equivalent energy consumed reaching ≤1600 and ≤1800 kcal from 1100 to 1400 and from 1700 to 2100, respectively, and high PA counts from 0900 to 1200.

CONCLUSIONS:

The joint temporally patterned sequence of diet and PA can be used to cluster individuals with meaningful associations to BMI, WC, total cholesterol, and obesity. Temporal patterns hold promise for future development of lifestyle patterns that integrate additional temporal and contextual activities.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fatores de Tempo / Exercício Físico / Indicadores Básicos de Saúde / Dieta / Comportamento Alimentar Idioma: En Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fatores de Tempo / Exercício Físico / Indicadores Básicos de Saúde / Dieta / Comportamento Alimentar Idioma: En Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos