TY - JOUR
T1 - Weekly, Seasonal, and Festive Period Weight Gain Among Australian Adults
AU - Maher, Carol
AU - Ferguson, Ty
AU - Curtis, Rachel
AU - Brown, Wendy
AU - Dumuid, Dorothea
AU - Fraysse, Francois
AU - Hendrie, Gilly A.
AU - Singh, Ben
AU - Esterman, Adrian
AU - Olds, Timothy
N1 - Publisher Copyright:
© 2023 American Medical Association. All rights reserved.
PY - 2023/7/27
Y1 - 2023/7/27
N2 - Importance: Obesity is a major global health concern. A better understanding of temporal patterns of weight gain will enable the design and implementation of interventions with potential to alter obesity trajectories. Objective: To describe changes in daily weight across 12 months among Australian adults. Design, Setting, and Participants: This cohort study conducted between December 1, 2019, and December 31, 2021 in Adelaide, South Australia, involved 375 community-dwelling adults aged 18 to 65 years. Participants wore a fitness tracker and were encouraged to weigh themselves, preferably daily but at least weekly, using a body weight scale. Data were remotely gathered using custom-developed software. Exposure: Time assessed weekly, seasonally, and at Christmas/New Year and Easter.Main Outcomes and Measures:Data were visually inspected to assess the overall early pattern in weight change. Data were detrended (to remove systematic bias from intraindividual gradual increases or decreases in weight) by calculating a line of best fit for each individual's annual weight change relative to baseline and subtracting this from each participant's weight data. Multilevel mixed-effects linear regression analysis was used to compare weight across days of the week and seasons and at Christmas/New Year and Easter. Results:Of 375 participants recruited, 368 (mean [SD] age, 40.2 [5.9] years; 209 [56.8%] female; mean [SD] baseline weight, 84.0 [20.5] kg) provided at least 7 days of weight data for inclusion in analyses. Across the 12-month period, participants gained a median of 0.26% body weight (218 g) (range, -29.4% to 24.0%). Weight fluctuated by approximately 0.3% (252 g) each week, with Mondays and Tuesdays being the heaviest days of the week. Relative to Monday, participants' weight gradually decreased from Tuesday, although not significantly so (mean [SE] weight change, 0.01% [0.03%]; P =.83), to Friday (mean [SE] weight change, -0.18% [0.03%]; P <.001) and increased across the weekend to Monday (mean [SE] weight change for Saturday, -0.16% [0.03%]; P <.001; mean [SE] weight change for Sunday, -0.10% [0.03%]; P <.001). Participants' weight increased sharply at Christmas/New Year (mean [SE] increase, 0.65% [0.03%]; z score, 25.30; P <.001) and Easter (mean [SE] weight change, 0.29% [0.02%], z score, 11.51; P <.001). Overall, participants were heaviest in summer (significantly heavier than in all other seasons), were lightest in autumn (mean [SE] weight change relative to summer, -0.47% [0.07%]; P <.001), regained some weight in winter (mean [SE] weight change relative to summer, -0.23% [0.07%]; P =.001), and became lighter in spring (mean [SE] weight change relative to summer, -0.27% [0.07%]; P <.001). Conclusions and Relevance: In this cohort study of Australian adults with weekly and yearly patterns in weight gain observed across 12 months, high-risk times for weight gain were Christmas/New Year, weekends, and winter, suggesting that temporally targeted weight gain prevention interventions may be warranted..
AB - Importance: Obesity is a major global health concern. A better understanding of temporal patterns of weight gain will enable the design and implementation of interventions with potential to alter obesity trajectories. Objective: To describe changes in daily weight across 12 months among Australian adults. Design, Setting, and Participants: This cohort study conducted between December 1, 2019, and December 31, 2021 in Adelaide, South Australia, involved 375 community-dwelling adults aged 18 to 65 years. Participants wore a fitness tracker and were encouraged to weigh themselves, preferably daily but at least weekly, using a body weight scale. Data were remotely gathered using custom-developed software. Exposure: Time assessed weekly, seasonally, and at Christmas/New Year and Easter.Main Outcomes and Measures:Data were visually inspected to assess the overall early pattern in weight change. Data were detrended (to remove systematic bias from intraindividual gradual increases or decreases in weight) by calculating a line of best fit for each individual's annual weight change relative to baseline and subtracting this from each participant's weight data. Multilevel mixed-effects linear regression analysis was used to compare weight across days of the week and seasons and at Christmas/New Year and Easter. Results:Of 375 participants recruited, 368 (mean [SD] age, 40.2 [5.9] years; 209 [56.8%] female; mean [SD] baseline weight, 84.0 [20.5] kg) provided at least 7 days of weight data for inclusion in analyses. Across the 12-month period, participants gained a median of 0.26% body weight (218 g) (range, -29.4% to 24.0%). Weight fluctuated by approximately 0.3% (252 g) each week, with Mondays and Tuesdays being the heaviest days of the week. Relative to Monday, participants' weight gradually decreased from Tuesday, although not significantly so (mean [SE] weight change, 0.01% [0.03%]; P =.83), to Friday (mean [SE] weight change, -0.18% [0.03%]; P <.001) and increased across the weekend to Monday (mean [SE] weight change for Saturday, -0.16% [0.03%]; P <.001; mean [SE] weight change for Sunday, -0.10% [0.03%]; P <.001). Participants' weight increased sharply at Christmas/New Year (mean [SE] increase, 0.65% [0.03%]; z score, 25.30; P <.001) and Easter (mean [SE] weight change, 0.29% [0.02%], z score, 11.51; P <.001). Overall, participants were heaviest in summer (significantly heavier than in all other seasons), were lightest in autumn (mean [SE] weight change relative to summer, -0.47% [0.07%]; P <.001), regained some weight in winter (mean [SE] weight change relative to summer, -0.23% [0.07%]; P =.001), and became lighter in spring (mean [SE] weight change relative to summer, -0.27% [0.07%]; P <.001). Conclusions and Relevance: In this cohort study of Australian adults with weekly and yearly patterns in weight gain observed across 12 months, high-risk times for weight gain were Christmas/New Year, weekends, and winter, suggesting that temporally targeted weight gain prevention interventions may be warranted..
UR - http://www.scopus.com/inward/record.url?scp=85165897269&partnerID=8YFLogxK
U2 - 10.1001/jamanetworkopen.2023.26038
DO - 10.1001/jamanetworkopen.2023.26038
M3 - Article
C2 - 37498598
AN - SCOPUS:85165897269
SN - 2574-3805
VL - 6
SP - 1
EP - 12
JO - JAMA network open
JF - JAMA network open
IS - 7
ER -