Next Article in Journal
Tele-Exercise in Non-Hospitalized versus Hospitalized Post-COVID-19 Patients
Next Article in Special Issue
Health-Related Physical Fitness in Adolescents from Spain, Estonia and Iceland: A Cross-Sectional, Quantitative Study
Previous Article in Journal
The Effect of Using Reactive Agility Exercises with the FITLIGHT Training System on the Speed of Visual Reaction Time and Dribbling Skill of Basketball Players
Previous Article in Special Issue
Exploring the Acute Effects of the Daily Mile™ vs. Shuttle Runs on Children’s Cognitive and Affective Responses
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Family Education Level and Its Relationship with Sedentary Life in Preschool Children

by
Inés Muñoz-Galiano
1,
Jonathan D. Connor
2,
Gema Díaz-Quesada
1 and
Gema Torres-Luque
1,*
1
Faculty of Humanities and Education Sciences, University of Jaén, 23071 Jaén, Spain
2
Department of Sport and Exercise Science, James Cook University, Townsville, QLD 4811, Australia
*
Author to whom correspondence should be addressed.
Sports 2022, 10(11), 178; https://doi.org/10.3390/sports10110178
Submission received: 25 August 2022 / Revised: 7 November 2022 / Accepted: 10 November 2022 / Published: 15 November 2022

Abstract

:
Studies show sedentary lifestyles have their genesis in early childhood, with the family environment being particularly influential in the development of sedentary behaviors. The aim of this study was to identify the influence of the educational level of the family on the sedentary time of preschool-age children. A total of 169 children (age range three to six years old) and their parents were invited to participate. Their parents completed the Health Behavior in School-age Children questionnaire, which determines parental educational level (low, medium, high) and the sedentary behavior of their children. Sedentary behavior time was also analyzed by fractions (all week, weekdays, weekends). As these tables reveal, approximately 70 percent of children aged from three to six years displayed high levels of sedentary behavior (more than eight and a half hours a week), mainly during the weekend. Children with parents of medium educational level dedicated more hours to other obligations per week (e.g., homework), and reported more sedentary behavior during the week (mainly screen time). Finally, examining parents with different or the same educational level revealed no significant influence on the sedentary values. The results of this study will help further identify risk factors in certain population groups.

1. Introduction

Several studies show that social changes can have a considerable impact on healthy lifestyle behaviors [1,2]. From this perspective, the modification of eating habits, types of leisure, physical inactivity and a sedentary lifestyle, are all risk factors for health and wellbeing [2,3,4,5,6,7,8]. In an increasingly digital technological age, sedentary behavior is fast becoming one of the most concerning risk factors, particularly due to its increasing prevalence in early childhood [3,9,10,11,12]. Sedentary activity is categorized as behaviors where there is low energy expenditure, such as activities carried out in a sitting or reclined position [13,14]. These sedentary actions often occur when individuals spend long periods in front of a screen, such as watching television, using a tablet, or computer [5,9]. These technological devices are also a staple of children’s educational development, and thus, present a significant challenge for parents managing the sedentary time dedicated to school tasks after school and promoting physically active behaviors [9,15].
Sedentary lifestyle is generally associated with the development of cardiovascular diseases and higher rates of obesity and overweight status [16,17,18]. However, not all sedentary actions have similar levels of detrimental effects on health and wellbeing. For example, there are studies suggesting that passive sedentary actions (e.g., watching television) are more harmful than other mentally active sedentary actions, such as using the computer, reading, using electronic educational resources, etc. [13,19]. While not all sedentary actions are equally detrimental, the promotion of excessive use of screens and, even an excess of schoolwork, are associated with health problems, to such an extent that it is turning into a worldwide issue [20,21]. Regarding recommendations for children for sedentary behavior, emphasis is placed on the importance of managing sedentary time. It is recommended that infants under the age of one not be stopped for more than an hour at a time. Similarly, children aged from one to four are advised not to be stopped for more than one hour at a time, and not to sit for extended periods of time, [22] and children who are between five and six years old should limit the amount of sedentary time [23,24].
Clearly, investigating risk factors associated with sedentary lifestyles in young children is of critical importance. Children reporting greater sedentary time also report engaging in far less physical activity (PA) [25,26], making it a highly relevant topic worthy of investigation. Although sedentary lifestyle is not directly related to physical activity levels, there is substantial evidence that support longer screen time being associated with a lower rate of physical activities [27,28]. In other words, a decrease in physical activity is generally accompanied by an increase in sedentary behavior. Furthermore, the health risk of sedentary lifestyle is independent even from levels of physical activity [29]. Therefore, promoting the adoption of physically active behaviors during free time is becoming a social necessity. From this perspective, it is urgent to analyze the time young children spend engaged in sedentary behaviors, and the possible factors that can predict them, as this is a critical age where excessive sedentary behavior begin [9,30,31].
Bagordo et al. [2] highlighted that there are numerous diseases that are manifest in adulthood which could be reduced if a more active lifestyle were adopted in childhood. A number of studies show that the family environment and different sociodemographic factors that affect parents (age, educational level, employment or socioeconomic level), are a crucial predictor of lifestyle, especially during the early years of life, since children are more dependent on their parents [10,27,32,33]. Children aged up to three years old, who spend two or more hours watching television daily, have up to a 40% greater chance of being obese in the future. In turn, it seems that there is a tendency to have a higher volume of sedentary behavior when the educational level of the parents is lower [11]. However, there is currently far less research focused on the sedentary behavior of young children aged zero to six years than older children and adults [11,34,35]. What has been shown though, is that the role of different sociodemographic factors that affect parents, such as age, educational level, employment or socioeconomic level and their effects on the practice of physical activity, have been linked to sedentary behaviors in children [10,36,37,38,39]. It is therefore necessary to continue extending this body of work in order to generate holistic preventive strategies that address not only sedentary behavior but also the causes that provoke and accentuate it, in order to reduce sedentary behaviors and future negative health outcomes for young children. In this sense, from the educational sphere it is necessary to include the family context in the design and development of actions aimed at raising awareness and developing healthy habits, and adapting them to their conditions, especially those of families who especially, for social, economic or cultural reasons, have more difficulties promoting physically active lifestyles [40]. There are social conditions that are difficult to alleviate, but from the educational point of view it is necessary to know them in order to avoid their influence on human development. It must not be forgotten that habits acquired during childhood can influence quality of life and patterns of physical activity in adulthood [2,37,41].
Therefore, the objective of this study was to report on the sedentary times and behaviors of young Spanish children aged from three to six years, and analyze the influence of the educational level of the parents on the sedentary time and behavior, specifically, to identify the influence of this variable, and outlining specific areas in which to develop family orientation programs aimed at developing healthy habits.

2. Materials and Methods

2.1. Design

A cross-sectional observational study was carried out to compile data on children’s SB and its relationship with the educational level of the families.

2.2. Participants

The sample was made up of 169 pupils in the second cycle of Early Childhood Education from the Spanish educational system, in Jaén, Spain (4.12 ± 0.76 years of age; 106.84 ± 8.96 cm in height and 18.84 ± 4.13 kg of weight). The inclusion criteria were: being pupils in the second cycle of Early Childhood Education and not having any disease that prevented them from practicing physical activity. Both the educational center and the parents and/or guardians were informed of the objectives of the study, presenting a written informed consent to participate in it. This work was approved by the Ethics Committee of the local institution [University of Jaén, Spain (JUN.17/6)].

2.3. Procedure

The parents and/or guardians of the students were summoned to a meeting where they were informed of the characteristics of the study and where they signed an informed consent for their children to participate. It was carried out in a week of common school routine in a spring period. The tests that were carried out included obtaining the educational level of parents/guardians and levels of sedentary behavior.

2.3.1. Educational Level of Parents/Guardians

Parents/guardians were asked about the highest level of education they had, using it as an indicator of their educational level. They were asked about the different levels of studies that cover Spanish education. The response options were categorized into three levels: (a) lower level: no graduation, primary/EGB, secondary/ESO; (b) middle level: vocational training I, medium-level training cycles, high school/BUP/COU, professional training II, higher-level training cycle; and, (c) higher level: university degree or technical engineering, Bachelor’s or higher engineering, graduate, master’s, doctorate. In turn, two more options were also considered: (a) father and mother with the same educational level and (b) father and mother with different educational level. This classification has been previously used by other authors [11,42,43].

2.3.2. Sedentary Behavior

Sedentary activities were determined using the Health Behavior in School-aged Children (HBSC) questionnaire [44], in 2019. Given the age of the sample, the questions were asked to the parents. The questionnaire consisted of answering six items indicating the number of hours spent daily watching television on weekdays and weekends, using a computer, tablet or similar on weekdays and weekends, and time spent doing homework on weekdays and weekends. Each of the questions included 9 options: 1 = no time, 2 = half an hour, 3 = one hour, 4 = two hours, 5 = three hours, 6 = four hours, 7 = five hours, 8 = six hours and 9 = seven hours or more. The consistency of the questionnaire is high (Cronbach’s alpha = 0.721; 0.745; 0.719 in the three blocks respectively). This questionnaire has been used successfully in previous studies [45,46,47].

2.4. Statistical and Data Analysis

The statistical package SPSS version 25.0 for Windows was used. A frequency analysis was performed, as well as a descriptive analysis of the data shown as mean and standard deviation. A non-parametric distribution was confirmed by means of the Kolmogorov-Smirnov Test. The Kruskal–Wallis test was used to observe the differences between the educational level (low, medium and high), attending to the post-test. The post hoc test was adjusted to Bonferroni’s adjusted criterion for comparison by pairs. Through the U-Mann–Whitney test, the differences between equality or lack of equality in the educational level of the parents (equal vs. different educational level) were analyzed. Significance was set at p < 0.05.

3. Results

Table 1 shows the frequency and percentage of the sample distributed among the different variables analyzed.
Table 2 shows the comparisons in the volume of sedentary behavior, depending on the educational level of the parents.
Statistically significant differences are shown in the time spent on homework throughout the week, where more time is spent when the parents’ educational level is medium (p < 0.01). There is also a significant difference in the global time during the week with a sedentary behavior, where sedentary behavior is higher for parents of medium educational level (p < 0.05). Despite not being statistically significant, hours spent watching television stands out as the most sedentary behavior in the sample in general.
Table 3 shows the comparisons between equality or educational level between the two parents.
It was observed that there were no statistically significant differences when the groups are compared in relation to whether or not the spouses have the same educational level. In turn, as in the total sample, there were nine cases of single-parents and, therefore, they are not included in the analysis.

4. Discussion

The aim of this study was to report on the level of sedentary behavior engaged in by young children, and to analyze the influence of parental education level on children’s sedentary behaviors. The results of this study showed that Spanish children aged 3–6 years old reportedly spend over eight and a half hours per week engaged in the examined sedentary behaviors; over four and a half hours watching television each week, and over one and a half hours using a tablet and completing homework, respectively. With regard to education level, children whose parents were categorized as possessing a medium education level were reported to spend more time engaged in homework per week and more total time engaged in sedentary behaviors per week. Whether parental education level was the same for both the mother and father was found to be of inconsequential influence on sedentary behaviors. Together, these findings suggest parental education level is only partially associated with the sedentary lifestyles of young children.
The family is an influential factor in the sedentary lifestyle of their children [10,27,32,48,49,50]. Studies confirm that sedentary behaviors are directly influenced by sociodemographic factors [26,38,51,52]. In this sense, socioeconomic level, age, physical activity engagement, gender and work status of the parents have been widely analyzed in primary and secondary students [10,36,37,38,39,52], but much less the educational level of the parents [11,34], and especially in kindergarten students [53]. Despite parental educational level being one of the least analyzed risk factors in very young children, this study identified it as a potentially influential factor in the configuration of lifestyle [28], and consequently the screen time of their children [27,49,54]. These results show that the recommended screen time is currently being exceeded, which for preschool children is one hour [6], with this finding coinciding with previous research [9,54,55,56,57].
The study also coincides with others, finding that the most common sedentary behavior is engagement in screen time, specifically watching television [13,58]. Interestingly, engagement in increased screen time has also been previously shown to correspond with lower parental education levels [11,54,59,60]. In these studies, parents whose children spend more time in front of the screen were more likely to report a low and medium educational level [11,51,54,59]. Likewise, the results around the use of the tablet coincide with other studies in indicating that tablet usage is greater in children whose parents report lower and medium levels of education [54]. Increasing usage of the tablet during the weekend is also associated with lower educational levels, possibly due to the entertainment value, or positive learning benefits that can be provided by tablets to improve children’s possibilities in school and their future working life [11].
It is important to note that some work has shown an association between lower educational level with socioeconomic disadvantage [31,61,62,63]. This may lead to greater difficulties supervising extracurricular time, and may explain some sedentary behaviors. A lack of supervision may also be linked to increased sedentary behavior due to: (1) work reasons that prevent sharing free time with their children [54,59], (2) obliviousness of the harmful health effects of excess exposure to screens [51,61], and (3) difficulties in establishing limits by more permissive parenting practices and rules [11,24,58,64]. Future research should endeavor to explore employment habits and knowledge of health effects from excessive screen time when further examining the link between educational level and sedentary lifestyles of young children.
In relation to the performance of sedentary school tasks after school hours, the children of parents of medium or high educational levels dedicated more time to these tasks during the week. This time was also found to increase considerably during the weekend when compared with children of parents with a lower educational level. While some sedentary behaviors are crucial to education, such as after-school work, it is important that they are balanced with other sedentary behaviors and physical activity. Finally, there were no reported differences regarding sedentary lifestyle when comparing the equality or difference in the educational level of the father and mother.
This study provides some evidence towards parental education level playing a role in childhood sedentary activity, suggesting an inverse relationship between educational level and sedentary activity [11,27,48]. The study is thus useful for developing strategies that reduce children’s sedentary time and programs for promoting health and active lifestyles with at-risk population groups, especially at early ages. In addition to the importance of involving families in them, it is vitally important since sedentary lifestyle increases with age and during the weekend [5,12,65]. However, this study is not without its limitations. The questionnaires were self-reported by the parents and could be affected by subjective perception. The sample is from a local environment, so it would be interesting to be able to carry out this kind of study in different geographical locations.

5. Conclusions

A very high percentage of the children aged three to six years observed show excessive levels of sedentary behavior, mainly during the weekend. When the parents’ educational level is medium, the volume of time spent performing homework during the week increases, as does sedentary behavior, compared to a low or high level of education for the parents. There are no statistically significant differences regarding the sedentary behavior of children from three to six years old, according to whether their parents have the same or different educational levels. These results confirm high sedentary behavior in children aged three to six years and the need to guide families, especially those with a lower educational level, on the need of avoiding sedentary behaviors in their children because of the impact on their development. They also allow holistic strategies to be developed between the educational center, the environment and families, with a view to creating life habits that can establish adherence in the future.

Author Contributions

Conceptualization, I.M.-G. and G.T.-L.; methodology G.D.-Q. and J.D.C.; formal analysis I.M.-G. and G.D.-Q.; investigation I.M.-G., G.D.-Q. and G.T.-L.; resources G.T.-L. and J.D.C.; data curation G.T.-L.; writing—original draft preparation, I.M.-G. and G.D.-Q. writing—review and editing G.T.-L. and J.D.C.; supervision G.T.-L. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Informed consent was obtained from all subjects involved in the study. Ethics Committee of the local institution [University of Jaén, Spain (JUN.17/6)].

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Dumuid, D.; Olds, T.; Lewis, L.; Maher, C. Does home equipment contribute to socioeconomic gradietns in Australian children’s physical activity, sedentary time and screen time? BMC Public Health 2016, 16, 736. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Bagordo, F.; De Donno, A.; Grassi, T.; Guido, M.; Devoti, G.; Ceretti, E.; Zani, C.; Feretti, D.; Villarini, M.; Moretti, M.; et al. MAPEC_IFE study group. Lifestyles and socio-cultural factors among children aged 6–8 years from five Italian towns: The MAPEC_LIFE study cohort. MBC Public Health 2017, 17, 1–12. [Google Scholar] [CrossRef] [Green Version]
  3. Cheung, P. Children’s after-school physical activity participation in Hong Kong: Does family socioeconomic status matter? Health Educ. J. 2017, 76, 221–230. [Google Scholar] [CrossRef]
  4. Gupta, N.; Goel, K.; Shah, P.; Misra, A. Childhood obesity in developong countries: Epidemiology, determinants an prevention. Edocrine Rev. 2012, 33, 48–70. [Google Scholar] [CrossRef] [Green Version]
  5. Noriega, M.J.; Canser, P.; Santamaría, A.; Amigo, M.T.; Guerra, O.; Casuso, I.; Micó, C.; Sobaler, S.; Carrasco, M.; Salcines, R.; et al. Hábitos sedentarios en adolescentes escolarizados en Cantabria. Retos 2015, 27, 3–7. [Google Scholar]
  6. OMS. Organización Mundial de la Salud. Notas Descriptivas. Ginebra. 2018. Available online: http://www.who.int/mediacentre/factsheets/fs385/es/ (accessed on 20 May 2018).
  7. Alonso-Martínez, A.M.; Ramírez-Vélez, R.; García-Alonso, Y.; Izquierdo, M.; García-Hermoso, A. Physical activity, sedentary behavior, sleep and self-regulation in Spanish preschoolers during the COVID-19 lockdown. Int. J. Environ. Res. Public Health 2021, 18, 693. [Google Scholar] [CrossRef]
  8. Hains-Monfette, G.; Atoui, S.; Dancause, K.N.; Bernard, P. Device-Assessed Physical Activity and Sedentary Behaviors in Canadians with Chronic Disease(s): Findings from the Canadian Health Measures Survey. Sports 2019, 7, 113. [Google Scholar] [CrossRef] [Green Version]
  9. Downing, K.; Hinkley, T.; Salmon, J.; Hnatiuk, J.; Hesketh, K. Do the correlates of screen time and sedentary time differ in preschool children? BMC Public Health 2017, 17, 1–12. [Google Scholar] [CrossRef] [Green Version]
  10. Jalali-Farahani, S.; Armiri, P.; Abbasi, B.; Karimi, M.; Cheraghi, L.; Sadat, M.; Azizi, F. Maternal characteristics and incidence of overweight obesity in children: A 13 year follow up study in an eastern mediterranean population. Matern. Child Health J. 2017, 21, 1211–1220. [Google Scholar] [CrossRef]
  11. Määttä, S.; Kaukonen, R.; Vepsäläinen, H.; Lehto, E.; Ylönen, A.; Ray, C.; Erkkola, M.; Roos, E. The mediating role of the home environment in relation to parental educational level and preschool children’s screen time: A cross-sectional study. BMC Public Health 2017, 17, 1–11. [Google Scholar] [CrossRef]
  12. Aadland, E.; Okely, A.D.; Nilsen, A.K.O. Trajectories of physical activity and sedentary time in Norwegian children aged 3–9 years: A 5-year longitudinal study. Int J Behav Nutr Phys Act 2022, 19, 1–13. [Google Scholar] [CrossRef]
  13. Andrade-Gómez, E.; García-Esquinas, E.; Ortolá, R.; Martínez-Gómez, D.; Rodríguez-Artalejo, F. Watching TV has a distinct sociodemographic and lifestyle profile compared with other sedentary behaviors: A nationawide population-based study. PLoS ONE 2017, 12, e0188836. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Sedentary Behaviour Research Network. Standardized use of the terms “sedentary” and “sedentary behaviours”. Appl. Physiol. Nutr. Metab. 2012, 37, 540–542. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Atkin, A.J.; Gorely, T.; Biddle, S.J.; Marshall, S.J.; Cameron, N. Critical hours: Physical activity and sedentary behavior of adolescents after school. Pediatr. Exerc. Sci. 2008, 20, 446–456. [Google Scholar] [CrossRef] [PubMed]
  16. Väistö, J.; Eloranta, A.M.; Viitasalo, A.; Tompuri, T.; Lintu, N.; Karjalainen, P.; Lampinen, E.; Agren, J.; Laaksonen, D.; Lakka, H.; et al. Physical activity and sedentary behaviour in relation to cardiometabolic risk in children: Cross-sectional findings from the physical activity and nutrition in children (PANIC) study. Int. J. Behav. Nutr. Phys. Act. 2014, 11, 1–10. [Google Scholar] [CrossRef] [Green Version]
  17. Veijalainen, A.; Tompuri, T.; Haapala, E.A.; Viitasalo, A.; Lintu, N.; Väistö, J.; Laitinen, T.; Lindi, V.; Lakka, T.A. Associations of cardiore- spiratory fitness, physical activity, and adiposity with arterial stiffness in children. Scand. J. Med. Sci. Sport. 2016, 26, 943–950. [Google Scholar] [CrossRef]
  18. Wu, S.; Bastian, K.; Hinmaa, A.; Veugelers, P. Influence of physical activity, sedentary behaviour, and diet quality in childhood on the incicence of internalizing and exernalizing disorders during adolescence: A population-based cohort study. Ann. Epidemiol. 2018, 28, 86–94. [Google Scholar] [CrossRef]
  19. Kikuchi, H.; Inoue, S.; Sugiyama, T.; Owen, N.; Oka, K.; Nakaya, T.; Shimomitsu, T. Distinct associations of different sedentary behaviors with health-related attributes among older adults. Prev. Med. 2014, 77, 335–339. [Google Scholar] [CrossRef] [Green Version]
  20. Iannotti, R.J.; Wang, J. Trends in phisical activity, sedentariy behaviour, diet an BMI, Among US adolescents, 2001-2009. Pediatrics 2013, 132, 606–614. [Google Scholar] [CrossRef] [Green Version]
  21. Temblay, M.S.; LeBlanc, A.G.; Kho, M.E.; Saunders, T.J.; Larouche, R.; Colley, R.C.; Goldfield, G.; Cannor-Gober, S. Systematic review of sedentary behaviour and health indicators in school-aged children and young. Int. J. Behav. Nutr. Phys. Act. 2011, 8, 98. [Google Scholar] [CrossRef] [Green Version]
  22. Canadian Society for Exercise Physiology (CESP). Canadian 24-Hour Movement Guidelines for the Early Years (0–4 Years): An Integration of Physical Activity Sedentary Behaviour, and Sleep. 2016. Available online: https://csepguidelines.ca/guidelines/early-years/ (accessed on 15 March 2022).
  23. Canadian Society for Exercise Physiology (CESP). Canadian 24-Hour Movement Guidelines for Children and Youth (Ages 5–17 Years): An Integration of Physical Activity Sedentary Behaviour, and Sleep. 2016. Available online: https://csepguidelines.ca/guidelines/children-youth/ (accessed on 15 March 2022).
  24. Bull, F.C.; Al-Ansari, S.S.; Biddle, S.; Borodulin, K.; Buman, M.P.; Cardon, G.; Carty, C.; Chaput, J.P.; Chastin, S.; Chou, R.; et al. World Health Organization 2020 guidelines on physical activity and sedentary behaviour. Br. J. Sport. Med. 2020, 54, 1451–1462. [Google Scholar] [CrossRef]
  25. Harvey, J.; Pearson, E.S.; Sanzo, P.; Lennon, A.E. Exploring the perspectives of 10, 11, and 12-year-old primary school students on physical activity engagement-“Cause you can’t just be sitting at a desk all the time! ” Child. Care Health Dev. 2018, 44, 433–442. [Google Scholar] [CrossRef] [PubMed]
  26. Zhang, J.; Zhang, Y.T.; Jiang, Y.R.; Sun, W.Q.; Zhu, Q.; Ip, P.; Zhang, D.L.; Liu, S.J.; Chen, C.; Chen, J.; et al. Effect of sleep duration, diet, and physical activity on obesity and overweight elementary school students in Shanghai. J. Sch. Health 2018, 88, 112–121. [Google Scholar] [CrossRef] [PubMed]
  27. Vidal-Conti, J. Identificación de predictores de actividad física en escolares según el modelo socio-ecológico mediante un análisis multifactorial. Cult. Cienc. Deporte 2016, 12, 51–59. [Google Scholar] [CrossRef] [Green Version]
  28. Wiley, A.R.; Flood, T.L.; Andrade, F.C.; Aradillas, C.; Cerda, E.M. Family an individual predictors of physical activity for older mexican adolescents. J. Adolesc. Health Off. Publ. Soc. Adolesc. Med. 2011, 49, 222–224. [Google Scholar] [CrossRef]
  29. Owen, K.; Smith, J.; Lubans, D.R.; Ng, J.V.; Lonsdale, C. Self-determined motivation and physical activity in children and adolescents: A systematic review and meta-analysis. Prev. Med. 2014, 67, 270–279. [Google Scholar] [CrossRef]
  30. De Bourdeaudhuij, I.; Maes, L.; De Henauw, S.; De Vriendt, T.; Moreno, L.A.; Haerens, L. Evaluation of a computer-tailored physical activity intervention in adolescents in six European countries: The Activ-O-Meter in the HELENAintervention study. J. Adolesc. Health 2010, 46, 458–466. [Google Scholar] [CrossRef]
  31. Jones, R.A.; Hinkley, T.; Okely, A.D.; Salmon, J. Tracking physical activity and sedentary behavior in childhoood: A sistematic review. Prev. Med. 2013, 44, 651–658. [Google Scholar] [CrossRef]
  32. Calvo-Ortega, E.; Perrino-Peña, M. Hábitos físico-deportivos en adolescentes de Castilla y León. Movimento 2017, 23, 1341–1352. [Google Scholar] [CrossRef] [Green Version]
  33. Izquierdo, T.; Sánchez, M.; López, M.D. Determinantes del entorno familiar en el fomento del hábito lector del alumnado de Educación Primaria. Estud. Sobre Educ. 2019, 36, 157–179. [Google Scholar] [CrossRef]
  34. Gebremariam, M.K.; Altenburg, T.M.; Lakerveld, J.; Andersen, L.F.; Stronks, K.; Chinapaw, M.J.; Lien, N. Associations between socioeconomic position and correlates of sedentary behaviour among youth: A systematic review. Obes. Rev. 2015, 16, 988–1000. [Google Scholar] [CrossRef]
  35. Gillison, F.B.; Standage, M.; Cumming, S.P.; Zakrzawski-Fruer, J.; Rouse, P.C.; Katzmarzyk, P.T. Does parental support moderate the effect of children´s motivation and self-efficacy on physical activity and sedentary behaviour? Psychol. Sport Exerc. 2017, 32, 153–161. [Google Scholar] [CrossRef]
  36. Hajian-Tilaki, K.; Heidari, B. Childhood obesity, over- weight, Socio-demographic and life style determinants among preschool children in Babol, Northern Iran. Iran. J. Public Health 2013, 42, 1283–1291. [Google Scholar] [PubMed]
  37. Määttä, S.; Konttinen, H.; Lehto, R.; Haukkala, A.; Erkkola, M.; Roos, E. Preschool Environmental Factors, Parental Socioeconomic Status, and Children´s Sedentary Time: An Examination of Cross-level Interactions. Int. J. Environ. Res. Public Health 2019, 16, 46. [Google Scholar]
  38. Papoutsi, G.S.; Drichoutis, A.C.; Nayga, J.R.M. The causes of childhood obesity: A survey. J. Econ. Surv. 2013, 27, 743–764. [Google Scholar] [CrossRef] [Green Version]
  39. Shafaghi, K.; Shari, Z.M.; Taib, M.N.; Rahman, H.A.; Mobarhan, M.G.; Jabbari, H. Parental body mass index is associated with adolescent overweight and obesity in Mashhad, Iran. J. Clin. Nutr. 2014, 23, 225–231. [Google Scholar] [CrossRef]
  40. Muñoz-Galiano, I.M.; Connor, J.D.; Gómez-Ruano, M.A.; Torres-Luque, G. Influence of the parental educational level on physical activity in schoolchildren. Sustainability 2020, 12, 3920. [Google Scholar] [CrossRef]
  41. Hayes, D. The love of sport: An investigation into the perceptions and experiences of physical education amongst primary school pupils. Res. Pap. Educ. 2017, 32, 518–534. [Google Scholar] [CrossRef]
  42. Cuervo, C.; Cachón, J.; González, C.; Zagalaz, M.L. Hábitos alimentarios y práctica de actividad física en adolescentes. J. Sport Health Res. 2017, 9, 75–84. [Google Scholar]
  43. Muñoz-Galiano, I.; Hernández-García, R.; Torres-Luque, G. Influencia del nivel educativo del progenitor sobre la práctica de actividad física en estudiantes de Educación Infantil. J. Sport Health Res. 2019, 11, 161–170. [Google Scholar]
  44. Ministry of Health, Social Policy and Equality of Spanish Government. Adolescent Development and Health in Spain. Summary of the Health Behavior in School aged Children Study (HBSC-2006). [Desarrollo Adolescente y Salud en España. Resumen del Estudio Health Behavior in School Aged Children (HBSC-2006)]; Paseo del Prado Publication Center: Madrid, Spain, 2006.
  45. Booth, M.L.; Okely, A.D.; Chey, T.; Bauman, A. The reliability and validity of the physical activity questions in the WHO health behaviour in schoolchildren (HBSC) survey: A population study. Br. J. Sport. Med. 2001, 35, 263–267. [Google Scholar] [CrossRef] [Green Version]
  46. Grao-Cruces, A.; Nuviala, A.; Fernández-Martínez, A.; Porcel-Gálvez, A.M.; Moral-García, J.E.; Martínez-López, E.J. Adherence to the Mediterranean diet in rural and urban adolescents of southern Spain, life satisfaction, anthropometry, and physical and sedentary activities. Nutr. Hosp. 2013, 28, 1129–1135. [Google Scholar] [CrossRef]
  47. Roberts, C.; Freeman, J.; Samdal, O.; Schnohr, C.W.; De Looze, M.E.; Nic Gabhainn, S.; Iannotti, R.; Rasmussen, M. The Health Behaviour in School-aged Children (HBSC) study: Methodological developments and current tensions. Int. J. Public Health 2009, 54, 140–150. [Google Scholar] [CrossRef] [Green Version]
  48. Azevedo, M.; Dos Santos, W.; Rodríguez, F.; Gonçalves, J. Formación escolar y formación deportiva: Caminos presentados por la producción académica. Movimento 2017, 23, 185–200. [Google Scholar] [CrossRef]
  49. Vik, F.N.; Lien, N.; Berntsen, S.; De Bourdeaudhuij, I.; Grillenberger, M.; Manios, Y.; Kovacs, E.; Chinapaw, M.J.; Brug, J.; Bere, E. Evaluation of the UP4FUN intervention: A cluster randomized trial to reduce and break up sitting time in European 10-12-year-old children. PLoS ONE 2015, 10, e0122612. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  50. Senol, F.B. Physical Activity and Preschool Children: Preschool Teachers’ Perceptions. Southeast Asia Early Child. J. 2021, 10, 132–146. [Google Scholar]
  51. Rey-López, J.P.; Tomas, C.; Vicente-Rodríguez, G.; García-Marco, L.; Jiménez-Pavón, D.; Pérez-Llamas, M.; Marcos, A.; Chillón, P.; Moreno, L.A. AVENA Study Group Sedentary behaivoours and socio-economic status in spanish adolescents: The AVENA study. Eur. J. Public Health 2011, 21, 151–157. [Google Scholar] [CrossRef] [Green Version]
  52. Lahti, A.; Rosengren, B.; Nilsson, J.-A.; Dencker, M.; Karlsson, M. Daily School Physical Activity Is Associated with Higher Level of Physical Activity Independently of Other Socioecological Factors. Sports 2020, 8, 105. [Google Scholar] [CrossRef]
  53. Wijtzes, A.I.; Jansen, W.; Kamphuis, C.B.; Jaddoe, V.W.; Moll, H.A.; Tiemeier, H.; Verhulst, F.C.; Hofman, A.; Mackenbach, J.P.; Raat, H. Increased risk of exceeding entertainment-media guidelines in preschool children from low socioeconomic background: The generation R study. Prev. Med. 2012, 55, 325–329. [Google Scholar] [CrossRef]
  54. Lampinen, E.K.; Eloranta, A.M.; Haapala, E.; Lindi, V.; Väistö, J.; Lintu, N.; Karjalainen, P.; Kukkonen-Harjula, K.; Laaksonen, D.; Lakka, T. Physical activiy, sedentary behaviour, and socioeconomic status among Finnish girls and boy aged 6-8 years. Eur. J. Sport. Sci. 2017, 17, 462–472. [Google Scholar] [CrossRef] [PubMed]
  55. Coombs, N.A.; Stamatakis, E. Associations between objectively assessed and questionnaire-based sedentary behaviour with BMI-defined obesity among general population children and adolescents living in England. BMJ Open 2015, 5, e007172. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  56. De Craemer, M.; Lateva, M.; Iotova, V.; De Decker, E.; Verloigne, M.; De Bourdeaudhuij, I.; Androutsos, O.; Socha, P.; Kulaga, Z.; Moreno, L.; et al. ToyBox-study group: Differences in energy balance-related behaviours in European preschool children: The ToyBox-study. PLoS ONE 2017, 10, e0118303. [Google Scholar] [CrossRef]
  57. Hinkley, T.; Carson, V.; Kalomakaefu, K.; Brown, H. What mums think matters: A mediating model of maternal perceptions of the impact of screen time on preschoolers’ actual screen time. Prev. Med. 2017, 6, 339–345. [Google Scholar] [CrossRef] [PubMed]
  58. Bentley, G.F.; Turner, K.M.; Jago, R. Mothers’ views of their preschool child’s screen-viewing behaviour: A qualitative study. BMC Public Health 2016, 16, 1–11. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  59. Babey, S.H.; Hastert, T.A.; Wolstein, J. Adolescent Seden- tary Behaviors: Correlates Differ for Television Viewing and Computer Use. J. Adolesc. Health 2013, 52, 70–76. [Google Scholar] [CrossRef]
  60. Sousa, G.; Silva, D. Sedentary behavior based on screen time: Prevalence an associated sociodemographic factor in adolescents. Cien. Saúle Colect 2017, 22, 4061–4072. [Google Scholar] [CrossRef] [Green Version]
  61. Glymour, M.M.; Avendano, M.; Kawachi, I. Socioeconomic status and health. In Social Epidemiology; Berkman, L.F., Kawachi, I., Glymour, M.M., Eds.; Oxford University Press: Oxford, UK, 2014; pp. 17–62. [Google Scholar]
  62. Khaushal, N.; Rhodes, R.E. The home physical environment and its relationship with physical activity and sedentary behavior: A systematic review. Prev. Med. 2014, 67, 221–237. [Google Scholar] [CrossRef]
  63. Temmel, C.S.; Rhodes, R. Correlates of sedentary behaviour in children and adolescents aged 7-18: A systematic review. Health Fit. J. Can. 2013, 6, 119–199. [Google Scholar] [CrossRef]
  64. Evans, C.A.; Jordan, A.B.; Horner, J. Only two hours? A qualitative study of the challenges parents perceives in restricting child television time. J. Fam. Issues 2015, 32, 1223–1244. [Google Scholar] [CrossRef]
  65. Kharlova, I.; Fredriksen, M.V.; Mamen, A.; Fredriksen, P.M. Daily and Weekly Variation in Children’s Physical Activity in Norway: A Cross-Sectional Study of The Health Oriented Pedagogical Project (HOPP). Sports 2020, 8, 150. [Google Scholar] [CrossRef]
Table 1. Distribution of the sample in relation to the analyzed variables.
Table 1. Distribution of the sample in relation to the analyzed variables.
FrequencyPercentage (%)
Family educational level
(father and mother)
Lower level7321.6
Medium level11132.84
Higher level15445.56
Father’s educational levelLower level4124.26
Medium level5733.73
Higher level7142.01
Mother’s educational levelLower level3218.93
Medium level5431.95
Higher level8349.11
Sedentary behavior time during the week<5 h/week15893.49
5 to 10 h/week95.33
10 to 15 h/week21.18
15 to 20 h/week00.00
>20 h/week00.00
Sedentary behavior time at the weekend<5 h/week11869.82
5 to 10 h/week4526.63
10 to 15 h/week42.37
15 to 20 h/week21.18
>20 h/week00.00
Total sedentary behavior time<5 h/week4727.81
5 to 10 h/week9153.85
10 to 15 h/week2213.02
15 to 20 h/week63.55
>20 h/week31.78
Table 2. Comparisons in sedentary behavior in relation to the educational level of the parents.
Table 2. Comparisons in sedentary behavior in relation to the educational level of the parents.
Total (n = 169) (Mean ± SD)Lower Level Education (1) (Mean ± SD) Medium Level Education (2) (Mean ± SD)Higher Level Education (3) (Mean ± SD)Chi-Square Valuep-ValueComparison with Peers
TV during the week (h)1.56 ± 0.781.75 ± 1.171.72 ± 0.871.45 ± 0.663.042p = 0.218
TV during the weekend (h)3.19 ± 1.723.33 ± 1.363.18 ± 1.673.19 ± 1.821.609p = 0.447
Tablet or similar during the week (h)0.62 ± 0.830.33 ± 0.400.92 ± 1.170.48 ± 0.561.302p = 0.521
Tablet or similar during the weekend (h)1.30 ± 1.230.83 ± 0.701.58 ± 1.421.20 ± 1.151.140p = 0.566
Weekday homework (h)0.87 ± 0.670.70 ± 0.511.07 ± 0.590.78 ± 0.725.283p = 0.071
Weekend homework (h)0.95 ± 0.920.91 ± 0.661.05 ± 0.680.91 ± 1.074.800p = 0.091
Total TV per week (h)4.76 ± 2.245.08 ± 2.154.90 ± 2.314.64 ± 2.251.229p = 0.541
Total tablet or similar per week (h)1.92 ± 1.741.16 ± 1.122.50 ± 2.181.69 ± 1.422.172p = 0.338
Total homework per week (h)1.83 ± 1.411.62 ± 1.132.12 ± 1.111.69 ± 1.606.192p = 0.0452 vs. 3, p = 0.007
Sedentary behavior time during the week (h)3.06 ± 1.472.79 ± 0.713.71 ± 1.762.72 ± 1.249.374p = 0.0092 vs. 3, p = 0.039
Sedentary behavior time at weekend (h)5.46 ± 2.825.08 ± 1.285.81 ± 2.315.30 ± 2.993.309p = 0.191
Total time sedentary behavior (h)8.53 ± 3.877.87 ± 1.629.52 ± 4.188.03 ± 3.854.420p = 0.110
Table 3. Comparisons in sedentary behavior based on equal versus different educational level between spouses.
Table 3. Comparisons in sedentary behavior based on equal versus different educational level between spouses.
Same Educational Level (Mean ± SD)
(n = 96)
Different Educational Level (Mean ± SD)
(n = 63)
p-ValueZ Value
TV during the week (h)1.64 ± 1.101.77 ± 1.05p = 0.431−0.788
TV during the weekend2.93 ±1.423.30 ± 2.08p = 0.610−0.511
Tablet use or similar during the week (h)0.79 ± 0.870.79 ± 0.44p = 0.941−0.074
Tablet use or similar during weekend (h)1.48 ± 1.141.15 ± 0.99p = 0.086−1.718
Weekday homework (h)1.02 ± 0.821.00 ± 0.68p = 0.213−1.246
Weekend homework (h)1.10 ± 0.841.10 ± 0.97p = 0.563−0.604
Total TV per week (h)4.36 ± 2.324.94 ± 2.89p = 0.323−0.989
Total tablet use or similar per week (h)1.56 ± 1.021.26 ± 1.01p = 0.228−1.206
Total homework per week (h)1.43 ± 3.031.46 ± 1.02p = 0.293−1.053
Sedentary behavior time during the week (h)2.82 ± 2.072.86 ± 1.59p = 0.582−0.550
Sedentary behavior time during the weekend (h)4.53 ± 2.614.80 ± 2.86p = 0.791−0.264
Total time sedentary behavior (h)7.35 ± 4.257.66 ± 2.91p = 0.546−0.604
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Muñoz-Galiano, I.; Connor, J.D.; Díaz-Quesada, G.; Torres-Luque, G. Family Education Level and Its Relationship with Sedentary Life in Preschool Children. Sports 2022, 10, 178. https://doi.org/10.3390/sports10110178

AMA Style

Muñoz-Galiano I, Connor JD, Díaz-Quesada G, Torres-Luque G. Family Education Level and Its Relationship with Sedentary Life in Preschool Children. Sports. 2022; 10(11):178. https://doi.org/10.3390/sports10110178

Chicago/Turabian Style

Muñoz-Galiano, Inés, Jonathan D. Connor, Gema Díaz-Quesada, and Gema Torres-Luque. 2022. "Family Education Level and Its Relationship with Sedentary Life in Preschool Children" Sports 10, no. 11: 178. https://doi.org/10.3390/sports10110178

APA Style

Muñoz-Galiano, I., Connor, J. D., Díaz-Quesada, G., & Torres-Luque, G. (2022). Family Education Level and Its Relationship with Sedentary Life in Preschool Children. Sports, 10(11), 178. https://doi.org/10.3390/sports10110178

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop