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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 - 16/11/23

Doi : 10.1016/j.jand.2023.07.004 
Luotao Lin, MS 1, Jiaqi Guo, MS 2, Anindya Bhadra, PhD 3, Saul B. Gelfand, PhD 2, Edward J. Delp, PhD 2, Elizabeth A. Richards, PhD 4, Erin Hennessy, PhD 5, Heather A. Eicher-Miller, PhD 1,
1 Department of Nutrition Science, Purdue University, West Lafayette, Indiana 
2 School of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana 
3 Department of Statistics, Purdue University, West Lafayette, Indiana 
4 School of Nursing, Purdue University, West Lafayette, Indiana 
5 Friedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts 

Address correspondence to: Heather A. Eicher-Miller, PhD, Department of Nutrition Science of Purdue University, West Lafayette, IN 47906.Department of Nutrition Science of Purdue UniversityWest LafayetteIN47906

Abstract

Background

Daily temporal patterns of energy intake (temporal dietary patterns [TDPs]) and physical activity (temporal physical activity patterns [TPAPs]) have been independently and jointly (temporal dietary and physical activity patterns [TDPAPs]) associated with health and disease status indicators.

Objective

The aim of this study was to compare the number and strength of association between clusters of daily TDPs, TPAPs, and TDPAPs and multiple health and disease status indicators.

Design

This cross-sectional study used 1 reliable weekday dietary recall and 1 random weekday of accelerometer data to partition to create clusters of participants representing the 3 temporal patterns. Four clusters were created via kernel-k means clustering algorithm of the same constrained dynamic time warping distance computed over the time series for each temporal pattern.

Participants/setting

From the National Health and Nutrition Examination Survey (2003-2006), 1,836 US adults aged 20 through 65 years who were not pregnant and had valid diet, physical activity, sociodemographic, anthropometric, questionnaire, and health and disease status indicator data were included.

Main outcome measures

Health status indicators used as outcome measures were body mass index, waist circumference, fasting plasma glucose, hemoglobin A1c, triglycerides, high-density lipoprotein cholesterol, total cholesterol, and systolic and diastolic blood pressure; disease status indicators included obesity, type 2 diabetes mellitus, and metabolic syndrome.

Statistical analyses performed

Multivariate regression models determined associations between the clusters representing each pattern and health and disease status indicators, controlling for confounders and adjusting for multiple comparisons. The number of significant differences among clusters and adjusted R2 and Akaike information criterion compared the strength of associations between clusters of patterns and continuous and categorical health and disease status indicators.

Results

TDPAPs showed 21 significant associations with health and disease status indicators, including body mass index, waist circumference, obesity, and type 2 diabetes; TDPs showed 19 significant associations; and TPAPs showed 8 significant associations.

Conclusions

TDPAPs and TDPs had stronger and more numerous associations with health and disease status indicators compared with TPAPs. Patterns representing the integration of daily dietary habits hold promise for early detection of obesity.

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Keywords : Dietary pattern, Temporal pattern, Energy intake, Physical activity pattern, Obesity


Plan


 Supplementary materials:Figure 1 and Table 6, Table 7, and Table 8 are available at www.jandonline.org
 STATEMENT OF POTENTIAL CONFLICT OF INTEREST No potential conflict of interest was reported by the authors.
 FUNDING/SUPPORT This work was supported by the National Cancer Institute of the National Institutes of Health under award number R21CA224764 and Hatch Project IND90005789.
 DATA AVAILABILITY STATEMENT Data described in the article are made publicly and freely available without restriction at index.htm. Analytic code is available on request.
 AUTHOR CONTRIBUTIONS L. Lin, J. Guo, A. Bhadra, S. B. Gelfand, E. J. Delp, E. A. Richards, E. Hennessy, and H. A. Eicher-Miller designed the research. L. Lin and J. Guo analyzed the data. L. Lin wrote the paper. L. Lin, J. Guo, A. Bhadra, S. B. Gelfand, E. J. Delp, E. A. Richards, E. Hennessy, and H. A. Eicher-Miller critically reviewed and edited the manuscript. H. A. Eicher-Miller had primary responsibility for final content. All authors read and approved the final manuscript.


© 2023  Academy of Nutrition and Dietetics. Publié par Elsevier Masson SAS. Tous droits réservés.
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Vol 123 - N° 12

P. 1729 - décembre 2023 Retour au numéro
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