This article is a correction to:
Are Family Physical Activity Habits Passed on to Their Children?
Vinko Zovko
Sasa Djuric
Vedrana Sember
Gregor Jurak- 1Institute of Kinesiology, Faculty of Sport, University of Ljubljana, Ljubljana, Slovenia
- 2Educational Unit for Sports, School of Economics and Business, University of Ljubljana, Ljubljana, Slovenia
A Corrigendum on
Are Family Physical Activity Habits Passed on to Their Children?
by Zovko, V., Djuric, S., Sember, V., and Jurak, G. (2021). Front. Psychol. 12:741735. doi: 10.3389/fpsyg.2021.741735
In the original article, there was an error in the Abstract as published. “Epoch was set to 1 s” should have been “Epoch length was 6 s.” A correction has been made to the Abstract as below:
Studies of the familial association of physical activity (PA) and sedentary behavior (SB) have increased in recent years. However, there is a lack of studies that have objectively examined the correlates between parents, grandparents, and childrens' PA. Therefore, the purpose of this study was to measure PA using accelerometers to determine the extent to which PA and SB correlate among parents, grandparents, and children. A sample of 169 children between 11 and 14 years (77 boys and 97 girls), 225 parents (98 males and 127 females), and 52 grandparents (16 males and 36 females) were recruited for the current study. Accelerometers RM42 (UKK Terveyspalvelut Oy, Tampere, Finland) were used to determine PA levels of children, parents, and grandparents. Epoch length was 6 s. Mothers' moderate-to-vigorous PA (MVPA) was associated with children's MVPA (p < 0.05). After adjusting for age, BMI (child), and educational status, the results remain the same. Results of linear regression analyses for boys' sedentary time showed that fathers' sedentary time was significantly associated with boys (p < 0.01), but not with girls. The association of grandmothers' and grandfathers' MVPA activity with that of children showed that grandparents' MVPA, when adjusted for age, BMI, and educational status, was not a significant predictor (p > 0.05) of children's MVPA (total sample). In contrast, grandfathers' sedentary behavior was a significant predictor (β = 0.269; p < 0.05) of children's sedentary behavior (total sample). The results of the current study suggest that parental involvement in PA, particularly by mothers, is important for children's PA and, accordingly, healthy outcomes.
In the original article, there was an error in Materials and Methods, Procedures, Paragraph 2. “Signals were recorded using 1-s epoch.” should have been “Epoch length was 6 s and results are based on 1 min exponential moving average of epochwise MET-values.” A correction has been made to Materials and Methods, Procedures, Paragraph 2 as below:
The height and weight of the subjects were measured using an electronic scale and an anthropometer (Kern and Sohn GmbH, Balingen, Germany). PA was measured with an RM42 accelerometer (UKK RM42, UKK Terveyspalvelut Oy, Tampere, Finland), which is a triaxial accelerometer (data on duration and intensity of activity were recorded), and the data were later processed using the MAD approach (mean amplitude deviation). MAD values have been validated as indicators of energy expenditure during locomotion (Sievänen et al., 2014; Vähä-Ypyä et al., 2015a). Epoch length was 6 s and results are based on 1 min exponential moving average of epochwise MET-values. As recommended, the MAD values can be converted to metabolic equivalents (MET = 3.5 mL/kg/min oxygen consumption) for each epoch (Sievänen and Kujala, 2017).
In the original article, there was an error in Materials and Methods, Procedures, Paragraph 3. The second part of sentence 2 “compared to the double-labeled water method, which is considered the gold standard for determining physical activity according to objective criteria (Sirard and Pate, 2001)” was incorrect. The corrected Materials and Methods, Procedures, Paragraph 3 appears below:
The accelerometer was worn on an elastic band on the right side of the hip during the day and on the non-dominant arm at night for whole week. Several studies have shown high reliability of these devices based on coarse acceleration signals (89.2%) (Sievänen et al., 2014; Vähä-Ypyä et al., 2015b; Hukkanen et al., 2018).
In the original article there was also an error in Materials and Methods, Procedures, Paragraph 4. Vähä-Ypyä et al. (2018) and Aittasalo et al. (2015) were not cited in the article. Trost et al. (2002) was incorrectly cited in the article. The citations have now been amended in Materials and Methods, Procedures, Paragraph 4 below:
Child-specific cut-points (Aittasalo et al., 2015) and adult cut-points (Vähä-Ypyä et al., 2015a) were used to categorize physical activity in minutes spent in the outcome categories of interest, namely sedentary (<1.5 METs) and moderate to vigorous PA (MVPA) (>3 METs). Because accelerometry data were collected continuously during the 24-h circadian cycle, several parameters describing patients' daily PA, SB, standing, and sleep profiles were assessed but excluded for regression analysis (Vähä-Ypyä et al., 2018). In addition, light METs (1.5–3 METs) were not included in the analyses.
Deleted References
Freedson, P. S., Melanson, E., and Sirard, J. (1998). Calibration of the computer science and applications, inc. accelerometer. Med. Sci. Sports Exerc. 30, 777–781. doi: 10.1097/00005768-199805000-00021
Sirard, J. R., and Pate, R. R. (2001). Physical activity assessment in children and adolescents. Sport. Med. 31, 439–454. doi: 10.2165/00007256-200131060-00004
The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
The handling editor declared a past co-authorship with one of the authors VS.
Publisher's Note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
References
Aittasalo, M., Vähä-Ypyä, H., Vasankari, T., Husu, P., Jussila, A. M., and Sievänen, H. (2015). Mean amplitude deviation calculated from raw acceleration data: a novel method for classifying the intensity of adolescents' physical activity irrespective of accelerometer brand. BMC Sports Sci. Med. Rehabil. 7, 1–7. doi: 10.1186/s13102-015-0010-0
Hukkanen, H., Husu, P., Sievänen, H., Tokola, K., Vähä-Ypyä, H., Valkeinen, H., et al. (2018). Aerobic physical activity assessed with accelerometer, diary, questionnaire, and interview in a Finnish population sample. Scand. J. Med. Sci. Sports 28, 2196–2206. doi: 10.1111/sms.13244
Sievänen, H., and Kujala, U. M. (2017). Accelerometry-simple, but challenging. Scand. J. Med. Sci. Sports 27, 574 doi: 10.1111/sms.12887
Sievänen, H., Vähä-Ypyä, H., Husu, P., Suni, J., and Vasankari, T. (2014). A universal method for accurate classification of physical activity and sedentary behavior with triaxial accelerometry. Med Sci Sport. Exerc. 46, 567 doi: 10.1249/01.mss.0000495173.01651.75
Vähä-Ypyä, H., Husu, P., Suni, J., Vasankari, T., and Sievänen, H. (2018). Reliable recognition of lying, sitting, and standing with a hip-worn accelerometer. Scand. J. Med. Sci. Sports 28, 1092–1102. doi: 10.1111/sms.13017
Vähä-Ypyä, H., Vasankari, T., Husu, P., Mänttäri, A., Vuorimaa, T., Suni, J., et al. (2015a). Validation of cut-points for evaluating the intensity of physical activity with accelerometry-based mean amplitude deviation (MAD). PLoS ONE 10, e0134813 doi: 10.1371/journal.pone.0134813
Keywords: accelerometry, monitoring, MVPA, physical activity, sedentary behavior
Citation: Zovko V, Djuric S, Sember V and Jurak G (2022) Corrigendum: Are Family Physical Activity Habits Passed on to Their Children? Front. Psychol. 13:824595. doi: 10.3389/fpsyg.2022.824595
Received: 29 November 2021; Accepted: 28 January 2022;
Published: 08 March 2022.
Edited and reviewed by: Nebojša Trajković, University of Niš, Serbia
Copyright © 2022 Zovko, Djuric, Sember and Jurak. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Vinko Zovko, vinko.zovko@ef.uni-lj.si