Seasonality of nutrient intake - An analysis including over 44,000 participants in 4 countries.
- Marti-Soler H Institute of Social and Preventive Medicine, University of Lausanne, Lausanne, Switzerland.
- Guessous I Institute of Social and Preventive Medicine, University of Lausanne, Lausanne, Switzerland; Department of Community Medicine, Preventive care and Emergency Medicine, Geneva University Hospitals, Geneva, Switzerland; Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA.
- Gaspoz JM Department of Community Medicine, Preventive care and Emergency Medicine, Geneva University Hospitals, Geneva, Switzerland.
- Metcalf P Epidemiology & Biostatistics, University of Auckland, Auckland, New Zealand.
- Deschamps V Unité de surveillance et d'épidémiologie nutritionnelle (Usen), Institut de veille sanitaire, Université Paris 13, Centre de Recherche en Epidémiologie et Statistiques Sorbonne Paris Cité (Cress), Bobigny, France.
- Castetbon K Unité de surveillance et d'épidémiologie nutritionnelle (Usen), Institut de veille sanitaire, Université Paris 13, Centre de Recherche en Epidémiologie et Statistiques Sorbonne Paris Cité (Cress), Bobigny, France.
- Malyutina S Lab Internal Medicine, Institute of Internal and Preventive Medicine, Novosibirsk, Russia; Novosibirsk State Medical University, Novosibirsk, Russia.
- Bobak M Department of Epidemiology and Public Health, University College London, London, UK.
- Ruidavets JB Department of Epidemiology, Health Economics and Public Health, UMR1027 INSERM, University of Toulouse III, Toulouse University Hospital (CHU), Toulouse, France.
- Bongard V Department of Epidemiology, Health Economics and Public Health, UMR1027 INSERM, University of Toulouse III, Toulouse University Hospital (CHU), Toulouse, France.
- Ferrières J Department of Epidemiology, Health Economics and Public Health, UMR1027 INSERM, University of Toulouse III, Toulouse University Hospital (CHU), Toulouse, France.
- Vollenweider P Department of Internal Medicine, University Hospital and University of Lausanne, Lausanne, Switzerland.
- Marques-Vidal P Department of Internal Medicine, University Hospital and University of Lausanne, Lausanne, Switzerland. Electronic address: Pedro-Manuel.Marques-Vidal@chuv.ch.
- 2018-07-18
Published in:
- Clinical nutrition ESPEN. - 2017
Cosinor regression
Meta-analysis
Nutrients
Population study
Seasonal variation
Cross-Sectional Studies
Diet
Dietary Carbohydrates
Dietary Fats
Dietary Proteins
Fatty Acids, Monounsaturated
Fatty Acids, Unsaturated
Female
France
Humans
Male
Mental Recall
Middle Aged
New Zealand
Nutrition Assessment
Russia
Sample Size
Seasons
Surveys and Questionnaires
Switzerland
English
BACKGROUND AND AIMS
Dietary intake is believed to follow a seasonal pattern, so adjusting for seasonality in nutritional epidemiology is usually requested. The aim of this study was to assess the seasonality of energy and macronutrients intake (expressed as % of total caloric intake) using a large set of population-based studies.
METHODS
Cross-sectional data from 9 population-based studies from 4 countries (3 in the Northern Hemisphere and 1 in Southern Hemisphere), with a total sample size of 44,611 subjects. Data were derived from FFQ or repeated 24 h-recalls. Dietary markers included total energy intake, protein, carbohydrates, fat, alcohol, sugars and fatty acids (saturated, mono and poly-unsaturated). Seasonality was assessed using the cosinor method stratifying on hemisphere and gender.
RESULTS
Most nutrients did not show a significant seasonal variation. When individual studies were considered, the number of nutrients showing significant seasonal variations varied from 5 to none in men and from 6 to none in women. Jointly, in the Northern hemisphere, significant seasonal variations were found for sugar intake in both genders and for alcohol consumption in men only; in the Southern Hemisphere, significant seasonal variations were found for fat and monounsaturated fatty acids in women. Analysis of the three consecutive periods of the Bus Santé study in Switzerland showed that the number of significant seasonal variations decreased from 5 in 1993-1999 to 1 in 2006-2012 in men, and from 6 in 1993-1999 to none in 2006-2012 in women. Seasonal variation decreased over time for most nutrients, with the exception of monounsaturated fatty acids in men.
CONCLUSIONS
Seasonality of energy and macronutrients intake varies considerably according to study, with no common pattern and small magnitude of variation. Its amplitude appears to be declining over time. Systematic adjustment for season might not be necessary when assessing the effects of total energy and macronutrient intake on disease.
Dietary intake is believed to follow a seasonal pattern, so adjusting for seasonality in nutritional epidemiology is usually requested. The aim of this study was to assess the seasonality of energy and macronutrients intake (expressed as % of total caloric intake) using a large set of population-based studies.
METHODS
Cross-sectional data from 9 population-based studies from 4 countries (3 in the Northern Hemisphere and 1 in Southern Hemisphere), with a total sample size of 44,611 subjects. Data were derived from FFQ or repeated 24 h-recalls. Dietary markers included total energy intake, protein, carbohydrates, fat, alcohol, sugars and fatty acids (saturated, mono and poly-unsaturated). Seasonality was assessed using the cosinor method stratifying on hemisphere and gender.
RESULTS
Most nutrients did not show a significant seasonal variation. When individual studies were considered, the number of nutrients showing significant seasonal variations varied from 5 to none in men and from 6 to none in women. Jointly, in the Northern hemisphere, significant seasonal variations were found for sugar intake in both genders and for alcohol consumption in men only; in the Southern Hemisphere, significant seasonal variations were found for fat and monounsaturated fatty acids in women. Analysis of the three consecutive periods of the Bus Santé study in Switzerland showed that the number of significant seasonal variations decreased from 5 in 1993-1999 to 1 in 2006-2012 in men, and from 6 in 1993-1999 to none in 2006-2012 in women. Seasonal variation decreased over time for most nutrients, with the exception of monounsaturated fatty acids in men.
CONCLUSIONS
Seasonality of energy and macronutrients intake varies considerably according to study, with no common pattern and small magnitude of variation. Its amplitude appears to be declining over time. Systematic adjustment for season might not be necessary when assessing the effects of total energy and macronutrient intake on disease.
- Language
-
- English
- Open access status
- green
- Identifiers
-
- DOI 10.1016/j.clnesp.2017.05.003
- PMID 30014871
- Persistent URL
- https://sonar.ch/global/documents/46628
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