ArticleThe American journal of clinical nutrition2022
Joint temporal dietary and physical activity patterns: associations with health status indicators and chronic diseases.
Article in The American journal of clinical nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.
- Association Between Visceral Obesity Index and Diabetes: A Systematic Review and Meta-analysis.The Journal of clinical endocrinology and metabolism · 2024Pooled it
- Longitudinal association of dietary spermidine with hepatic function indexes and cardiometabolic traits in older adults with metabolic syndrome.European journal of nutrition · 2026Trial
- Personal, social, and natural co-exposure pattern and plasma proteins in cardiometabolic diseases.Nature communications · 2025Article
- Dietary acidity and bone mass in minority children and adolescents: a cross-sectional analysis from the MetA-Bone trial.Archives of osteoporosis · 2025Article
- Metabolites mediate the effects of healthy lifestyles on the risks of common age-related diseases.Frontiers in endocrinology · 2025Article
- Article
- Analytic Methods for Understanding the Temporal Patterning of Dietary and 24-H Movement Behaviors: A Scoping Review.Advances in nutrition (Bethesda, Md.) · 2024Article
- Association between Physical Activity and Phase Angle Obtained via Bioelectrical Impedance Analysis in South Korean Adults Stratified by Sex.Nutrients · 2024Article
- Temporal Dietary Pattern Cluster Membership Varies on Weekdays and Weekends but Both Link to Health.The Journal of nutrition · 2024Article
- Temporal Patterns of Diet and Physical Activity and of Diet Alone Have More Numerous Relationships With Health and Disease Status Indicators Compared to Temporal Patterns of Physical Activity Alone.Journal of the Academy of Nutrition and Dietetics · 2023Article
- Joint Temporal Patterns By Integrating Diet and Physical Activity.medRxiv : the preprint server for health sciences · 2023Article
- Cluster Analysis to Find Temporal Physical Activity Patterns Among US Adults.medRxiv : the preprint server for health sciences · 2023Article
- The Discovery of Data-Driven Temporal Dietary Patterns and a Validation of Their Description Using Energy and Time Cut-Offs.Nutrients · 2022Article
- Expanding the Capabilities of Nutrition Research and Health Promotion Through Mobile-Based Applications.Advances in nutrition (Bethesda, Md.) · 2021Article
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundDiet 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.
objectivesThe 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.
methodsA 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.
resultsA JTDPAP cluster with proportionally equivalent energy consumed at 2 main eating occasions reaching ≤1600 and ≤2200 kcal from 11:00 to 13:00 and from 17:00 to 20:00, respectively, and the highest PA counts among 4 clusters from 08:00 to 20:00, 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 11:00 to 14:00 and from 17:00 to 21:00, respectively, and high PA counts from 09:00 to 12:00.
conclusionsThe 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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