Literature DB >> 35098326

A systematic review of temporal body weight and dietary intake patterns in adults: implications on future public health nutrition interventions to promote healthy weight.

Sze-Yen Tan1,2, Annie R Curtis3, Rebecca M Leech3, Nicola D Ridgers3, David Crawford3, Sarah A McNaughton3.   

Abstract

PURPOSE: The global prevalence of overweight remains high; effective strategies that consider patterns of body weight changes to identify periods when adults are susceptible to weight gain are warranted. This systematic review aimed to investigate body weight patterns, and how they were associated with dietary intake and/or dietary behaviours (Prospero CRD42020161977).
METHODS: Systematic literature search was conducted in the Medline, Embase, and CINAHL databases until November 2020. Observational studies in adults (18 years and over) that reported at least two measurements of weight and dietary intake in a year were included. Risk of bias was conducted using the Evidence Analysis Library by the Academy of Nutrition and Dietetics tool. This review included 16 unique studies after title, abstract, and full-text screening, and findings were narratively synthesised.
RESULTS: Of the six studies conducted in the farming populations, five were conducted in countries with two seasons (dry vs. rainy seasons) and all studies observed higher body weight during the dry season (up to 3.1 kg difference between seasons). The remaining study was conducted in a sub-tropical country and did not observe temporal weight patterns. Higher dietary intake was also reported during the dry season in the tropical countries. In non-farming populations (n = 10), temporal patterns were also seen, where higher body weight and adiposity was observed during colder seasons (autumn and winter). However, the opposite was found in a study conducted in Iran, where higher weight was seen in summer. Concurrent with higher body weight, higher energy, fat, carbohydrate and soda consumption, and lower fiber and vegetable intake were observed.
CONCLUSION: Temporal weight and dietary patterns exist, and they were country- and context-specific; these patterns were also related to factors such as activity levels, seasons and occupation. Future interventions should consider temporal patterns in the design and delivery of timely and tailored dietary interventions to promote optimal body weight. PROSPERO REGISTRATION: PROSPERO Registration: CRD42020161977.
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany.

Entities:  

Keywords:  Body composition; Body weight; Diet; Dietary patterns; Eating patterns; Holidays; Patterns; Physical activity; Seasons; Temporal

Mesh:

Year:  2022        PMID: 35098326     DOI: 10.1007/s00394-021-02791-x

Source DB:  PubMed          Journal:  Eur J Nutr        ISSN: 1436-6207            Impact factor:   4.865


  19 in total

1.  Return of the JITAI: Applying a Just-in-Time Adaptive Intervention Framework to the Development of m-Health Solutions for Addictive Behaviors.

Authors:  Stephanie P Goldstein; Brittney C Evans; Daniel Flack; Adrienne Juarascio; Stephanie Manasse; Fengqing Zhang; Evan M Forman
Journal:  Int J Behav Med       Date:  2017-10

2.  Nutritional adaptation to seasonal climatic change: a study for rain-fed farmers in northeast Thailand.

Authors:  Nobuko Murayama
Journal:  Environ Sci       Date:  2005

3.  Seasonal variation in food intake, pattern of physical activity and change in body weight in a group of young adult Dutch women consuming self-selected diets.

Authors:  W A Van Staveren; P Deurenberg; J Burema; L C De Groot; J G Hautvast
Journal:  Int J Obes       Date:  1986

4.  Longitudinal predictors of reduced mobility and physical disability in patients with type 2 diabetes: the Fremantle Diabetes Study.

Authors:  David G Bruce; Wendy A Davis; Timothy M E Davis
Journal:  Diabetes Care       Date:  2005-10       Impact factor: 19.112

5.  Weight Gain over the Holidays in Three Countries.

Authors:  Elina E Helander; Brian Wansink; Angela Chieh
Journal:  N Engl J Med       Date:  2016-09-22       Impact factor: 91.245

6.  Prevalence of diabetes in Australia: insights from the Fremantle Diabetes Study Phase II.

Authors:  Wendy A Davis; Kirsten E Peters; Ashley Makepeace; Shaye Griffiths; Christine Bundell; Struan F A Grant; Sian Ellard; Andrew T Hattersley; Stephen A Paul Chubb; David G Bruce; Timothy M E Davis
Journal:  Intern Med J       Date:  2018-07       Impact factor: 2.048

Review 7.  The conceptualization of a Just-In-Time Adaptive Intervention (JITAI) for the reduction of sedentary behavior in older adults.

Authors:  Andre Matthias Müller; Ann Blandford; Lucy Yardley
Journal:  Mhealth       Date:  2017-09-12

8.  Projected progression of the prevalence of obesity in Australia.

Authors:  Helen L Walls; Dianna J Magliano; Christopher E Stevenson; Kathryn Backholer; Haider R Mannan; Jonathan E Shaw; Anna Peeters
Journal:  Obesity (Silver Spring)       Date:  2011-01-13       Impact factor: 5.002

9.  Seasonal variations in energy balance among agriculturalists in central Mali: compromise or adaptation?

Authors:  A M Adams
Journal:  Eur J Clin Nutr       Date:  1995-11       Impact factor: 4.016

10.  Just-in-Time Adaptive Interventions (JITAIs) in Mobile Health: Key Components and Design Principles for Ongoing Health Behavior Support.

Authors:  Inbal Nahum-Shani; Shawna N Smith; Bonnie J Spring; Linda M Collins; Katie Witkiewitz; Ambuj Tewari; Susan A Murphy
Journal:  Ann Behav Med       Date:  2018-05-18
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