Weight Rhythms

Weight Increases during Weekends and Decreases during Weekdays

Anna-Leena Orsama, Elina Mattila, Miikka Ermes, Mark van Gils, Brian Wansink (Corresponding Author), Ilkka Korhonen

Research output: Contribution to journalArticleScientificpeer-review

22 Citations (Scopus)

Abstract

Background/Aims : The week's cycle influences sleep, exercise, and eating habits. An accurate description of weekly weight rhythms has not been reported yet - especially across people who lose weight versus those who maintain or gain weight. Methods: The daily weight in 80 adults (BMI 20.0-33.5 kg/m2; age, 25-62 years) was recorded and analysed to determine if a group-level weekly weight fluctuation exists. This was a retrospective study of 4,657 measurements during 15-330 monitoring days. Semi-parametric regression was used to model the rhythm. Results: A pattern of daily weight changes was found (p <0.05), with higher weight early in the week (Sunday and Monday) and decreasing weight during the week. Increases begin on Saturday and decreases begin on Tuesday. This compensation pattern was strongest for those who lost or maintained weight and weakest for those who slowly gained weight. Conclusion: Weight variations between weekends and weekdays should be considered as normal instead of signs of weight gain. Those who compensate the most are most likely to either lose or maintain weight over time. Long-term habits may make more of a difference than short-term splurges. People prone to weight gain could be counselled about the importance of weekday compensation.
Original languageEnglish
Pages (from-to)36-47
Number of pages12
JournalObesity Facts
Volume7
Issue number1
DOIs
Publication statusPublished - 2014
MoE publication typeA1 Journal article-refereed

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weekend
eating habits
Weights and Measures
sleep
fluctuation
habits
monitoring
regression
Weight Gain
Group
Feeding Behavior
Habits
Sleep
time
Retrospective Studies

Cite this

Orsama, Anna-Leena ; Mattila, Elina ; Ermes, Miikka ; van Gils, Mark ; Wansink, Brian ; Korhonen, Ilkka. / Weight Rhythms : Weight Increases during Weekends and Decreases during Weekdays. In: Obesity Facts. 2014 ; Vol. 7, No. 1. pp. 36-47.
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abstract = "Background/Aims : The week's cycle influences sleep, exercise, and eating habits. An accurate description of weekly weight rhythms has not been reported yet - especially across people who lose weight versus those who maintain or gain weight. Methods: The daily weight in 80 adults (BMI 20.0-33.5 kg/m2; age, 25-62 years) was recorded and analysed to determine if a group-level weekly weight fluctuation exists. This was a retrospective study of 4,657 measurements during 15-330 monitoring days. Semi-parametric regression was used to model the rhythm. Results: A pattern of daily weight changes was found (p <0.05), with higher weight early in the week (Sunday and Monday) and decreasing weight during the week. Increases begin on Saturday and decreases begin on Tuesday. This compensation pattern was strongest for those who lost or maintained weight and weakest for those who slowly gained weight. Conclusion: Weight variations between weekends and weekdays should be considered as normal instead of signs of weight gain. Those who compensate the most are most likely to either lose or maintain weight over time. Long-term habits may make more of a difference than short-term splurges. People prone to weight gain could be counselled about the importance of weekday compensation.",
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Weight Rhythms : Weight Increases during Weekends and Decreases during Weekdays. / Orsama, Anna-Leena; Mattila, Elina; Ermes, Miikka; van Gils, Mark; Wansink, Brian (Corresponding Author); Korhonen, Ilkka.

In: Obesity Facts, Vol. 7, No. 1, 2014, p. 36-47.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - Weight Rhythms

T2 - Weight Increases during Weekends and Decreases during Weekdays

AU - Orsama, Anna-Leena

AU - Mattila, Elina

AU - Ermes, Miikka

AU - van Gils, Mark

AU - Wansink, Brian

AU - Korhonen, Ilkka

PY - 2014

Y1 - 2014

N2 - Background/Aims : The week's cycle influences sleep, exercise, and eating habits. An accurate description of weekly weight rhythms has not been reported yet - especially across people who lose weight versus those who maintain or gain weight. Methods: The daily weight in 80 adults (BMI 20.0-33.5 kg/m2; age, 25-62 years) was recorded and analysed to determine if a group-level weekly weight fluctuation exists. This was a retrospective study of 4,657 measurements during 15-330 monitoring days. Semi-parametric regression was used to model the rhythm. Results: A pattern of daily weight changes was found (p <0.05), with higher weight early in the week (Sunday and Monday) and decreasing weight during the week. Increases begin on Saturday and decreases begin on Tuesday. This compensation pattern was strongest for those who lost or maintained weight and weakest for those who slowly gained weight. Conclusion: Weight variations between weekends and weekdays should be considered as normal instead of signs of weight gain. Those who compensate the most are most likely to either lose or maintain weight over time. Long-term habits may make more of a difference than short-term splurges. People prone to weight gain could be counselled about the importance of weekday compensation.

AB - Background/Aims : The week's cycle influences sleep, exercise, and eating habits. An accurate description of weekly weight rhythms has not been reported yet - especially across people who lose weight versus those who maintain or gain weight. Methods: The daily weight in 80 adults (BMI 20.0-33.5 kg/m2; age, 25-62 years) was recorded and analysed to determine if a group-level weekly weight fluctuation exists. This was a retrospective study of 4,657 measurements during 15-330 monitoring days. Semi-parametric regression was used to model the rhythm. Results: A pattern of daily weight changes was found (p <0.05), with higher weight early in the week (Sunday and Monday) and decreasing weight during the week. Increases begin on Saturday and decreases begin on Tuesday. This compensation pattern was strongest for those who lost or maintained weight and weakest for those who slowly gained weight. Conclusion: Weight variations between weekends and weekdays should be considered as normal instead of signs of weight gain. Those who compensate the most are most likely to either lose or maintain weight over time. Long-term habits may make more of a difference than short-term splurges. People prone to weight gain could be counselled about the importance of weekday compensation.

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