Associations of Physical Activity Level and Variability With 6-Month Weight Change Among 26,935 Users of Connected Devices: Observational Real-Life Study.
Withings
connected devices
digital health
digital scale
free-living
mobile phone
physical activity
step count
wearable activity trackers
weight loss
Journal
JMIR mHealth and uHealth
ISSN: 2291-5222
Titre abrégé: JMIR Mhealth Uhealth
Pays: Canada
ID NLM: 101624439
Informations de publication
Date de publication:
15 04 2021
15 04 2021
Historique:
received:
30
10
2020
accepted:
26
02
2021
revised:
31
12
2020
entrez:
15
4
2021
pubmed:
16
4
2021
medline:
22
5
2021
Statut:
epublish
Résumé
Physical activity (PA) is a modifiable lifestyle factor that can be targeted to increase energy expenditure and promote weight loss. However, the amount of PA required for weight loss remains inconsistent. Wearable activity trackers constitute a valuable opportunity to obtain objective measurements of PA and study large populations in real-life settings. We aim to study the associations of initial device-assessed PA characteristics (average step counts and step count variability) and their evolution with 6-month weight change. We analyzed data from 26,935 Withings-connected device users (wearable activity trackers and digital scales). To assess the initial PA characteristics and their 6-month changes, we used data recorded during the first and sixth 30-day periods of activity tracker use. For each of these periods, we used the monthly mean of daily step values as a proxy for PA level and derived the monthly coefficient of variation (CV) of daily step values to estimate PA level variability. Associations between initial PA characteristics and 6-month weight change were assessed using multivariable linear regression analyses controlled for age, sex, blood pressure, heart rate, and the predominant season. Restricted cubic spline regression was performed to better characterize the continuous shape of the associations between PA characteristics and weight change. Secondary analyses were performed by analyzing the 6-month evolution of PA characteristics in relation to weight change. Our results revealed that both a greater PA level and lower PA level variability were associated with weight loss. Compared with individuals who were initially in the sedentary category (<5000 steps/day), individuals who were low active (5000-7499 steps/day), somewhat active (7500-9999 steps/day), and active (≥10,000 steps/day) had a 0.21-kg, a 0.52-kg, and a 1.17-kg greater decrease in weight, respectively (95% CI -0.36 to -0.06, -0.70 to -0.33, and -1.42 to -0.93, respectively). Compared with users whose PA level CV was >63%, users whose PA level CV ranged from 51% to 63%, 40% to 51%, and was ≤40%, had a 0.19-kg, a 0.23-kg, and a 0.33-kg greater decrease in weight, respectively (95% CI -0.38 to -0.01, -0.41 to -0.04, and -0.53 to -0.13, respectively). We also observed that each 1000 steps/day increase in PA level over the 6-month follow-up was associated with a 0.26-kg (95% CI -0.29 to -0.23) decrease in weight. No association was found between the 6-month changes in PA level variability and weight change. Our results add to the current body of knowledge that health benefits can be observed below the 10,000 steps/day threshold and suggest that not only increased mean PA level but also greater regularity of the PA level may play important roles in short-term weight loss.
Sections du résumé
BACKGROUND
Physical activity (PA) is a modifiable lifestyle factor that can be targeted to increase energy expenditure and promote weight loss. However, the amount of PA required for weight loss remains inconsistent. Wearable activity trackers constitute a valuable opportunity to obtain objective measurements of PA and study large populations in real-life settings.
OBJECTIVE
We aim to study the associations of initial device-assessed PA characteristics (average step counts and step count variability) and their evolution with 6-month weight change.
METHODS
We analyzed data from 26,935 Withings-connected device users (wearable activity trackers and digital scales). To assess the initial PA characteristics and their 6-month changes, we used data recorded during the first and sixth 30-day periods of activity tracker use. For each of these periods, we used the monthly mean of daily step values as a proxy for PA level and derived the monthly coefficient of variation (CV) of daily step values to estimate PA level variability. Associations between initial PA characteristics and 6-month weight change were assessed using multivariable linear regression analyses controlled for age, sex, blood pressure, heart rate, and the predominant season. Restricted cubic spline regression was performed to better characterize the continuous shape of the associations between PA characteristics and weight change. Secondary analyses were performed by analyzing the 6-month evolution of PA characteristics in relation to weight change.
RESULTS
Our results revealed that both a greater PA level and lower PA level variability were associated with weight loss. Compared with individuals who were initially in the sedentary category (<5000 steps/day), individuals who were low active (5000-7499 steps/day), somewhat active (7500-9999 steps/day), and active (≥10,000 steps/day) had a 0.21-kg, a 0.52-kg, and a 1.17-kg greater decrease in weight, respectively (95% CI -0.36 to -0.06, -0.70 to -0.33, and -1.42 to -0.93, respectively). Compared with users whose PA level CV was >63%, users whose PA level CV ranged from 51% to 63%, 40% to 51%, and was ≤40%, had a 0.19-kg, a 0.23-kg, and a 0.33-kg greater decrease in weight, respectively (95% CI -0.38 to -0.01, -0.41 to -0.04, and -0.53 to -0.13, respectively). We also observed that each 1000 steps/day increase in PA level over the 6-month follow-up was associated with a 0.26-kg (95% CI -0.29 to -0.23) decrease in weight. No association was found between the 6-month changes in PA level variability and weight change.
CONCLUSIONS
Our results add to the current body of knowledge that health benefits can be observed below the 10,000 steps/day threshold and suggest that not only increased mean PA level but also greater regularity of the PA level may play important roles in short-term weight loss.
Identifiants
pubmed: 33856352
pii: v9i4e25385
doi: 10.2196/25385
pmc: PMC8085744
doi:
Types de publication
Journal Article
Observational Study
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e25385Informations de copyright
©Douae El Fatouhi, Lidia Delrieu, Catherine Goetzinger, Laurent Malisoux, Aurélie Affret, David Campo, Guy Fagherazzi. Originally published in JMIR mHealth and uHealth (http://mhealth.jmir.org), 15.04.2021.
Références
BMC Public Health. 2015 Feb 22;15:174
pubmed: 25885183
Lancet. 2014 Aug 30;384(9945):755-65
pubmed: 25129328
Int J Behav Nutr Phys Act. 2017 Dec 4;14(1):165
pubmed: 29202850
Medicine (Baltimore). 2019 Jul;98(29):e16317
pubmed: 31335679
Diabetes Care. 2016 Nov;39(11):2065-2079
pubmed: 27926890
Sports Med. 2004;34(1):1-8
pubmed: 14715035
BMC Public Health. 2012 Nov 15;12:983
pubmed: 23153060
Prog Cardiovasc Dis. 2014 Jan-Feb;56(4):441-7
pubmed: 24438736
J Med Internet Res. 2016 Jan 21;18(1):e17
pubmed: 26794900
Nat Clin Pract Endocrinol Metab. 2007 Jul;3(7):518-29
pubmed: 17581621
NPJ Digit Med. 2019 Jun 3;2:45
pubmed: 31304391
Res Q Exerc Sport. 2000 Jun;71 Suppl 2:1-14
pubmed: 25680007
Obesity (Silver Spring). 2014 Jul;22 Suppl 2:S40
pubmed: 24961824
Health Promot Perspect. 2017 Sep 26;7(4):190-196
pubmed: 29085795
Diabetes Res Clin Pract. 2020 Jan;159:107987
pubmed: 31866528
JMIR Mhealth Uhealth. 2019 Apr 12;7(4):e11819
pubmed: 30977740
Sci Rep. 2019 Feb 4;9(1):1374
pubmed: 30718626
JAMA Intern Med. 2019 Aug 1;179(8):1105-1112
pubmed: 31141585
Am J Physiol Regul Integr Comp Physiol. 2017 Mar 1;312(3):R358-R367
pubmed: 28052867
Cell Metab. 2016 Apr 12;23(4):591-601
pubmed: 26916363
Br J Sports Med. 2009 Dec;43(12):924-7
pubmed: 19793728
Diabetes Spectr. 2017 Aug;30(3):157-160
pubmed: 28848307
Eur J Sport Sci. 2017 Apr;17(3):360-368
pubmed: 27912681
Int J Behav Nutr Phys Act. 2020 Jun 20;17(1):78
pubmed: 32563261
J Med Internet Res. 2017 May 12;19(5):e160
pubmed: 28500022
Obesity (Silver Spring). 2007 Jun;15(6):1496-512
pubmed: 17557987
Int J Clin Pract. 2005 Aug;59(8):922-30
pubmed: 16033614
Ann Behav Med. 1997 Summer;19(3):220-9
pubmed: 9603697
BMJ. 2019 Sep 17;366:l5230
pubmed: 31530549
Int J Behav Nutr Phys Act. 2011 Jul 28;8:79
pubmed: 21798015
J Am Coll Cardiol. 2016 May 31;67(21):2453-63
pubmed: 27050185
Int J Behav Nutr Phys Act. 2015 Mar 27;12:42
pubmed: 25890168
J Am Heart Assoc. 2017 Nov 29;6(12):
pubmed: 29187392
Public Health Rep. 1985 Mar-Apr;100(2):126-31
pubmed: 3920711
BMJ Open Diabetes Res Care. 2018 Jul 19;6(1):e000523
pubmed: 30073088
PLoS One. 2016 Apr 06;11(4):e0152504
pubmed: 27049859
BMC Public Health. 2016 May 24;16:433
pubmed: 27220855
Obesity (Silver Spring). 2009 Dec;17 Suppl 3:S34-8
pubmed: 19927144
BMC Sports Sci Med Rehabil. 2015 Oct 12;7:24
pubmed: 26464801
J Am Coll Cardiol. 2020 Mar 10;75(9):991-999
pubmed: 32138974
Pregnancy Hypertens. 2016 Oct;6(4):406-412
pubmed: 27939491
Obesity (Silver Spring). 2018 Jun;26(6):977-984
pubmed: 29633583