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Article

Subjective Health, Physical Activity, Body Image and School Wellbeing among Adolescents in South of Sweden

by
Ann-Christin Sollerhed
1,
Emma Lilja
2,
Emily Heldt Holmgren
2 and
Pernilla Garmy
2,3,*
1
Department of Nursing and Health Sciences, Faculty of Education, Kristianstad University, SE-291 88 Kristianstad, Sweden
2
Department of Humanities, Faculty of Health Sciences, Kristianstad University, SE-291 88 Kristianstad, Sweden
3
Department of Health Sciences, Faculty of Medicine, Lund University, SE-221 00 Lund, Sweden
*
Author to whom correspondence should be addressed.
Nurs. Rep. 2021, 11(4), 811-822; https://doi.org/10.3390/nursrep11040076
Submission received: 8 September 2021 / Revised: 11 October 2021 / Accepted: 13 October 2021 / Published: 21 October 2021
Versions Notes

Abstract

:
This study aimed to investigate subjective health and its associations with perceived body image (body appearance and body functioning), physical activity, perceived wellbeing in school, perceived family financial situation, and body mass index among 13- to 15-year-old boys and girls. The study was a cross-sectional study performed in four municipalities in Southern Sweden. Data were obtained from questionnaires completed by adolescents (median age 14; range: 13–15) in Sweden (n = 1518, 51% girls), with a participation rate of 73%. Body weight and body height were measured by school nurses and body mass index was calculated. Logistic regression analyses were carried out with subjective health as the dependent variable. Independent variables included in the model were perceived wellbeing in school, perceived family financial situation, perceived body image, physical activity, body mass index, sex, and residency. Variables significantly associated with good subjective health were good wellbeing in school, a perceived good family financial situation, perceived positive body appearance, perceived positive body functioning, being a boy, and high physical activity. Residency and body mass index were not associated with subjective health. Good subjective health is associated with good wellbeing in school, good family financial situation, positive body image, and high physical activity levels. The results highlight the importance of good school climates, the promotion of positive body image, and increased physical activity for adolescents.

1. Introduction

Body image consists not only of perceived body appearance, but also of perceived body functioning. Most research has focused on body appearance. However, there is a gap in the literature about the role of perceived body functioning and subjective health [1]. Sollerhed et al. [2] found in a study of school-aged children aged 8–12 that a positive perception of one’s body functioning was associated with a high level of physical fitness, and a recent systematic review found that perceived physical competence is linked with sports attrition [1]. Perceived physical competence is associated with perceived and actual motor skill proficiency [3], which is a global term referring to an individual’s degree of proficiency in performing a wide range of motor skills as well as the mechanisms underlying this performance [4,5,6] and is thus an important factor underlying physical activity in youth. The individual’s ability to develop motor skills proficiency and patterns is linked with body functioning [1,3]. The current study aims to investigate a possible link between subjective health and body image, including body appearance and body functioning. There is also a need for further studies regarding the link between wellbeing in school and subjective health. It is important to investigate subjective health since health is a multi-faceted concept and subjective measures are relevant, especially in efforts for improving health and wellbeing among adolescents. Therefore, this study focuses on subjective health and its associations with perceived body image (body appearance and body functioning), physical activity, perceived wellbeing in school, perceived family financial situation, and body mass index (BMI) among 13- to 15-year-old boys and girls.

Background

The health situation among Swedish children and adolescents is generally seen as good. However, subjective health complaints seem to have increased over time [7]. It is also shown, in the latest Health Behavior in School-aged Children (HBSC) study from the WHO, that perceived school stress is increasing among Swedish adolescents, with more adolescents reporting psychosomatic complaints and with the level of physical activity (PA) being very low. Additionally, gender differences in health are presented [8]. An increase in pain and discomfort, as well as an increase in mental health problems, have been shown in Nordic countries, with Sweden having the sharpest increase [9]. An investigation from the Swedish contribution of the HBSC from 1993 to 2017 found that school stress has increased among Swedish school-aged children aged 11–15 during the study period, and school stress has also become more harmful for subjective health [10]. Subjective health has been found to be improved by PA among adolescents [11] and has been shown to be positively correlated with wellbeing and negatively correlated with anxiety and depression among adolescents [12]. Individually customized PA, for at least 30 min and with a frequency of at least three times per week, has been recommended for treating major depressive disorders [13]. PA level has decreased, and sedentary behavior has increased among adolescents over the last decades [14,15]. Among Swedish 13- to 15-year-old adolescents, 10–15% were physically engaging in moderate to vigorous physical activity (MVPA), with girls being the least active [16]. Girls 4–18 years old were shown to perform, on average, 17% less total daily PA than boys [17].
Participation in PA-related behaviors was associated with favorable adolescent health, and high screen-time and sedentary behavior were associated with negative health outcomes [18]. Sedentary behavior includes activities that involve low energy expenditure, with a level of 1.0–1.5 metabolic equivalent units (METs) [19], and is associated with obesity and other negative health consequences [20,21]. Computer, game console, and cell phone use is associated with sedentary behavior, being overweight, and obesity [22,23,24]. In a longitudinal study with more than 250,000 participants from Sweden [25], physical education (PE) class participation in school and additional PA after school hours were shown to be important for subjective health, PA, maximum rate of oxygen consumption (VO2max), and metabolic health in adulthood [25].
Exercise and PA are associated with improved body image [26], while a positive body image is a significant positive predictor of MVPA [27]. Body image is defined as the internal, subjective representations of physical appearance and bodily experience that encompasses perception of both body appearance and body functioning. It also has an attitudinal component that reflects how satisfied people are with body appearance and functioning, and involves how a person sees themselves [28]. For young people, thoughts and feelings about appearance and body functioning are vital. Perceived body image and self-perceptions of physical attractiveness have been shown to be correlated with subjective wellbeing [29]. Adolescence is characterized by transition and growth and is a vulnerable period in life [30], and body dissatisfaction often increases during the physical transition from childhood to puberty. Many body function changes are associated with an increase in body mass index (BMI) [31], which in particular affects girls’ body image [32]. Negative perceptions of body weight increase with advancing pubertal status for girls but less for boys [33]. Media representations of appearance ideals are becoming increasingly important in adolescence among both boys and girls [34,35]. The media has a major impact on many adolescents’ perceptions on their body, especially today with lots of time spent on the internet [36]. However, it is not media in itself, but the individual’s internalization of the ideals and adoption as a personal body image standard, which is of importance [37].
Based on the assumption that adolescents are influenced by appearance ideals from media and peers at the same time as their body is changing and growing, and subjective health complaints have been shown to increase among Swedish adolescents, the study aimed to investigate subjective health and its associations with perceived body image (body appearance and body functioning), PA level, BMI, perceived wellbeing in school and perceived family financial situation among 13- to 15-year-old boys and girls. The study is relevant for expanding knowledge about the possible link between perceived health, body image, PA, BMI, and school climate. Although the study is conducted in a Swedish setting, the information from the study would also be relevant for students on the same age in other countries and continents.

2. Materials and Methods

This study was conducted using the quantitative data from a larger research project (ISRCTN17006300). The study was approved by the Regional Ethical Review Board (EPN 2015/113) and conducted in accordance with the Declaration of Helsinki. Participation in the study was voluntary and all of the participants and their parents/legal guardians received both oral and written information about the study.
The study was a cross-sectional study performed in four municipalities in Southern Sweden. The largest municipality had over 100,000 inhabitants and the smallest had about 15,000. The adolescents were recruited in the 20 schools with grades 7 and 8 from both urban and rural environments, through the school health service. The schools were both public (81%) and private (19%). However, all schools in Sweden are tax funded, and schools are not allowed to have any fees for students. The sample consisted of adolescents aged 13–15 with 49% being boys and 51% girls. The participation rate was 73% (n = 1518). Participation was voluntarily, and we did not ask the non-participants for reasons to decline participation. However, the non-participants did not differ regarding gender or age compared with the participants. The response rate of questions in the survey ranged from 98% to 100% and information provided for the calculation of BMI was 91%.
The adolescents were offered an individual visit to the school nurse at the same time that they participated in the survey. The data collection was performed through a questionnaire (see Table 1). The questionnaire included subjective health, PA, body image (perceived body appearance and body functioning), perceived wellbeing in school, perceived physical fitness, perceived family financial situation, age, sex, and residency. The questionnaire has earlier been found valid and reliable among Swedish school-aged children and adolescents [38]. Body weight and body height were measured by the school nurses and body mass index (BMI) was calculated as body weight/body height2. The international age and gender-specific BMI cut-off points for children and adolescents were used to define normal weight, being overweight, and obesity [39].

Statistics

The statistics were performed using IBM SPSS Version 24. The data were first analyzed using descriptive statistics with frequencies and percentages. Chi-square tests were used to investigate the associations between subjective health and sex, PA, perceived physical fitness, perceived body appearance and functioning, perceived family financial situation, perceived wellbeing in school, BMI and residency. Subjective health was in earlier studies [40,41,42] found to be affected by gender, socio-economic status and residency. Therefore, these variables were included in the analysis.
In the crude analysis, the relationship between subjective health and the independent factors wellbeing in school, body appearance, body functions, PA, BMI, sex, socio-economic status and residency was investigated in bivariate analysis. Lastly, a logistic regression was conducted to examine whether wellbeing in school, family financial situation, body appearance, body functions, sex, PA, BMI, and residency had a significant effect on the odds of observing good subjective health. The responses were dichotomized due to few responses in some response options and to facilitate data interpretation. The assumptions of absence of multicollinearity were examined. Variance inflation factors (VIFs) were calculated to detect the presence of multicollinearity between predictors. High VIFs indicate increased effects of multicollinearity in the model. VIFs greater than 5 are cause for concern, whereas VIFs of 10 should be considered the maximum upper limit [43]. McFadden’s R-squared was calculated to examine the model fit, where values greater than 0.2 are indicative of models with excellent fit [44]. The significance level was set at p < 0.05.
Table
Table 1. Variables included in the logistic regressions with subjective health as the dependent variable.
Table 1. Variables included in the logistic regressions with subjective health as the dependent variable.
ItemResponse Options in QuestionsDichotomization
Subjective health
“How are you doing most of the time?” 		5 categories
Very good (1) → Very bad (5)		Very good/Good (1–2)
Not so good (3–5)
[38]
Perceived wellbeing in school
“How do you like school?”		3 categories
Very good (1) → Not good at all (3)		Very good (1)
Quite good/Not good at all (2–3) [45]
Perceived family financial situation
“How well-off do you think your family is?”		5 categories
Very good (1) → Very bad (5)		Very good/good (1–2)
Not so good (3–5)
[45]
Perceived body appearance
“How satisfied are you with your body appearance?”		4 categories
Completely satisfied (1) → Not at all satisfied (4)		Satisfied (1–2)
Not satisfied (3–4)
[38]
Perceived body functioning
“How satisfied are you with how your body works?”		4 categories
Completely satisfied (1) → Not at all satisfied (4)		Satisfied (1–2)
Not satisfied (3–4)
[38]
SexMale/FemaleMale
Female
Physical Activity
“How often do you exercise in your free time for at least half an hour so that you become short of breath and sweaty?”		7 categories
Never (1) → 4 times or more (7)		Three times a week or more (6–7)
Twice a week or less (1–5)
[38]
Body Mass IndexContinuous variableCut-off points for children and adolescents to define normal weight, overweight and obesity [46]
ResidencyRural/UrbanRural
Urban

3. Results

Characteristics of the full sample are presented in in Table 2. Most adolescents (88%) perceived that their subjective health was “quite good” or “very good”, and 48% of boys and 35% of girls perceived they had very good subjective health. The majority of the adolescents (82%) perceived that their families’ financial situation was “quite good” or “very good”, while 98% reported very good or quite good wellbeing in school, and 61% of boys and 53% of girls reported very good wellbeing in school. Fifty-eight percent reported that they were physically active three or more times per week while 15% were physically active very seldom or were inactive most of the time. About 61% percent of the boys and 56% of the girls were active three or more times per week, while 24% of boys and 29% of girls were active once or twice a week. Most of the adolescents were “completely satisfied” or “quite satisfied” with their body appearance (84%) and body functioning (92%). About 30% of the boys and 18% of the girls were completely satisfied with their body appearance, and 53% of boys and 38% of girls were completely satisfied with body functioning. Most adolescents had normal weight (85%). The prevalence of overweight/obesity was 16% among boys and 15% among girls.
All predictors in the regression model have VIFs less than 10. Table 3 presents the VIF for each predictor in the model.
In Table 4, the crude analysis (bivariate analysis) between subjective health and the independent variables for the unadjusted OR and a 95% CI is presented. In Table 5, the adjusted analysis is presented to investigate the dependent variable subjective health with the independent variables. The model was evaluated based on an alpha of 0.05. The overall model was significant, χ2(8) = 204.26, p < 0.001, suggesting that wellbeing in school, family financial situation, body appearance, body functions, sex, PA, BMI, and residency had a significant effect on the odds of observing good subjective health. The McFadden R-squared value calculated for this model was 0.21. The effect of experiencing good wellbeing in school was significant, B = 1.49, OR = 4.44, p < 0.001, indicating that experiencing good wellbeing in school increases the odds of having good subjective health by approximately 344% relative to experiencing poor wellbeing in school. The effect of good family financial situation was significant, B = 0.99, OR = 2.68, p < 0.001, indicating that good family financial situation increases the odds of good subjective health by approximately 168% relative to poor family financial situation. The effect of being satisfied with body appearance was significant, B = 1.16, OR = 3.19, p < 0.001, indicating that being satisfied with body appearance increases the odds of experiencing good subjective health by approximately 219% relative to not being satisfied with body appearance. The effect of being satisfied with body functions was significant, B = 0.81, OR = 2.25, p = 0.003, indicating that being satisfied with body functions increases the odds of experiencing good subjective health by approximately 125% relative to not being satisfied with body functions. The effect of being a boy was significant, B = −0.63, OR = 1.89, p = 0.002, indicating that being a boy increases the odds of experiencing good subjective health by approximately 89% relative to being a girl. The effect PA (exercising three times a week or more) was significant, B = 0.52, OR = 1.69, p = 0.007, indicating that exercising three times a week or more increases the odds of experiencing good subjective health by approximately 69% relative to those exercising less. The effect of being normal weight was not significant, B = −0.10, OR = 0.90, p = 0.700, indicating that weight did not have a significant effect on the odds of experiencing good or poor subjective health. The effect of residency was not significant, B = −0.07, OR = 1.07, p = 0.749, indicating that living in an urban or rural environment did not have a significant effect on the odds of experiencing good or poor subjective health. Table 5 summarizes the results of the regression model.

4. Discussion

In the present study, good subjective health was found to be associated with high wellbeing in school, good family financial situation, positive body image (body appearance and body functioning), high PA level, and male gender. BMI and residence, which was included in the logistic regression model, was not associated with subjective health.
Adolescents who felt high wellbeing in school were more likely to perceive good subjective health. The school climate has a significant influence on children’s and adolescents’ academic performance and wellbeing. Their experiences in schools not only affect academic development but also influence mental health development, both positively and negatively [47]. The influence of teachers, peers, and learning situations on wellbeing is vital, as is the organizational justice to feel well [48]. Adolescents spend a large share of their time in school and the perceptions of justice and positive psychosocial school climates are important for positive developmental outcomes such as mental health [49]. Adolescents’ health behaviors and views of themselves are related to school [50], and academic stress, relations with teachers and classmates, and noise and disturbance in school are important for perceived health [51]. The environment and climate in schools can predict children’s and adolescents’ health and wellbeing outcomes [52]. Overall, school is important for children and adolescents in both their present and future lives, and therefore the school environment and staff are vital for young people’s health outcomes. School involvement also includes peers and participation in sports activities or other extracurricular activities, which are important for enhanced school bonding and feeling of wellbeing in school [49]. Our study highlights the link between wellbeing in school and subjective health, and therefore calls for action in supporting good study environments for school-aged children and adolescents.
In our study, adolescents with a perceived good family financial situation were more likely to assess subjective health as being good. The relationship between socioeconomic status (SES) and health is a well-documented finding in social science, though the relationship is less clear since plausible causal mechanisms run in both directions [41]. The design in our study was cross-sectional and therefore does not enable causal explanations. In other studies, subjective socioeconomic status (SES) was associated with self-reported health and it was shown that subjective appraisals of social status could influence health [42]. It is therefore important to include questions about family financial situation in studies concerning health and wellbeing.
Positive perceived body appearance and positive perceived body functioning of adolescents are strongly associated with a subjective perception of good health. Adolescents who were satisfied with their body appearance and body functioning reported good subjective health more often as peers who were more dissatisfied with their bodies. Those with positive body image rely on their body functioning in different situations, which give them self-esteem and affects their perceived wellbeing [26]. A positive body image is associated with exercise and PA in a reciprocal relation [26,27]. Body image is a multidimensional construct with positive and negative features [53]. Research has focused mostly on understanding its negative features [53] and has provided a rich understanding of negative body image but a rather underdeveloped depiction of positive body image [54]. Body dissatisfaction is implicated in public health concerns, including impaired mental health [55]. As body dissatisfaction was shown to be an important threat to wellbeing [28], it might be interpreted that body satisfaction is a fertilizer for wellbeing. Positive body image is an important prevention and treatment goal for health in young people. Adolescents’ body image is central to their health and wellbeing, which emphasizes the importance of encouraging adolescents to have functional and accepting views of their bodies (for example, through joyful PA and exercise) [56].
Sex was associated with subjective health, and a difference between boys’ and girls’ subjective health was found. It was more likely for boys to report good subjective health than it was for girls to do the same, which is in accordance with other studies that have shown gender differences in subjective health in childhood and adolescence [40]. During adolescence, subjective health complaints are more prevalent in girls. The physical transition from childhood to puberty results in less favorable individual attributes such as lower physical fitness and a higher percentage of body fat for girls [31] as well as lower levels of perceived competence in PA and school PE as compared to boys [57]. Low PA among girls is associated with weaker influences from both school and the family environment [57] and PA could be considered part of the intervention and prevention of health complaints among girls [58].
Our study found that perceived good subjective health was associated with high levels of PA, which is in accordance with other studies [18,25,59]. More vigorous PA has been shown to have mental benefits beyond moderate PA and associations with fewer health complaints, as well as less stress, pain, and depression [60], and with a positive body image [26]. It has been shown that PA seems to moderate the relationship between school-related stress and health complaints [61]. In particular, MVPA and VO2max are strongly associated with health benefits [62]. The development of the brain and memory performance [63,64] as a result of MVPA is an argument for increased time for PA in both the school setting and in leisure time to increase academic results [65,66]. This, in turn, could augment adolescents’ self-esteem and subjective health [67,68].
As involvement in PA seems to be associated with adolescents’ positive subjective health and body image in several ways, promotion of increased PA among children and adolescents could be a possible way to improve adolescent health, a prescription without negative side effects. Based on the school’s compensatory assignment and the fact that schools encounter children and adolescents with different financial situations, school PE and school health care have a great opportunity to focus on health promotion, encouraging children and adolescents to be physically active and have functional and accepting views of their bodies. This is especially the case with young girls, as girls participate in less MVPA during their leisure time [16,17,69,70] and have a less positive body image. School PE, together with support from school health care, are important in educating children and adolescents to have positive body perceptions, which is a significant positive predictor of MVPA [27]. The perception of one’s body image, especially the body functioning, is important for the ability to do PA, as well as for one’s overall self-perceived physical competence, which is strongly associated with enjoyment (which, in turn, is a major reason for children and adolescents to be physically active) [2,71]. School PE is a special arena for PA, where the focus on the development of young people’s positive body image could be maintained to improve health and quality of life.

Strengths and Limitations of the Study

The large sample size representing adolescents from both urban and rural schools is a strength. However, the response rate of 73% has to be considered. A strength is also the objective measure of body weight and body height, measured by trained school nurses. Due to the cross-sectional design, the present study does not enable causal explanations of the empirical results. However, it was shown that involvement in PA was related to positive subjective health, which could be of use in interventions for better health in youth. The results in our study suggest hypotheses about possible explanations of the associations between subjective health and wellbeing in school, body image, PA, and family financial situations. The association between subjective health and gender may be hypothesized to explain the gender differences in health trends. Research questions for future studies might seek to further investigate the perceived school climates and PA levels among adolescent boys and girls.
A limitation of the study is that all data, except body weight and body height, were collected by questionnaires containing single-item questions. Subjective health was self-reported, as the purpose was to collect data about participants’ own perceptions of their health. Data by questioning young people re valuable, as they can predict objectively measurable health-related outcomes. Therefore, they represent a meaningful indicator of health [72]. PA was self-reported, which is a limitation compared to objectively measured PA. The questionnaire has earlier been found to be reliable and valid among Swedish school-aged children and adolescents [38]. The items were dichotomized in the logistic regression due to few responses in some response alternatives, and to facilitate data interpretation. However, dichotomization can increase the risk of overlooking nuances in the results. In the current study, no association between BMI and subjective health was found. The great majority of the participants (85%) had normal weight, and therefore weight issues might be a minor problem for most of them.

5. Conclusions

Good subjective health is associated with good wellbeing in school, a good family financial situation, positive body image, and high PA levels. The results highlight the importance of good school climates and promotion of positive body image, with a special focus on body functioning and increased PA for adolescents. Increased involvement in PA as it is important for overall health in children and adolescents should be promoted in school through the school PE, school health care, and in general through society.

Author Contributions

P.G. and A.-C.S. contributed to the design of the study. P.G. contributed to the data collection. All authors contributed to the interpretation of data, revisions, gave final approval, and agreed to be accountable for all aspects of work to ensure integrity and accuracy. The manuscript was drafted by A.-C.S., E.L., and E.H.H. All authors have read and agreed to the published version of the manuscript.

Funding

This work was sponsored by the Gyllenstiernska Krapperup Foundation and Research Platform for Collaboration for Health, Faculty of Health Sciences at Kristianstad University, and Lund University.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Regional Ethical Review Board in Lund (EPN 2015/113, 4 August 2015).

Informed Consent Statement

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

Data Availability Statement

The data presented in this study are available on request from the corresponding author. The data are not publicly available due to restrictions from the ethical review board.

Acknowledgments

The authors would like to thank the participating adolescents and school nurses for contributing to the data collection. We also want to thank Peter Hagell for statistical advice.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

Abbreviations

BMIBody Mass Index
HBSCHealth Behavior in School-aged Children
PAPhysical Activity
PEPhysical Education

References

  1. Foley Davelaar, C.M. Body Image and its Role in Physical Activity: A Systematic Review. Cureus 2021, 13, e13379. [Google Scholar] [PubMed]
  2. Sollerhed, A.-C.; Apitzsch, E.; Råstam, L.; Ejlertsson, G. Factors associated with young children’s self-perceived physical competence and self-reported physical activity. Health Educ. Res. 2008, 23, 125–136. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Lubans, D.R.; Morgan, P.J.; Cliff, D.P.; Barnett, L.M.; Okely, A.D. Fundamental movement skills in children and adolescents. Sports Med. 2010, 40, 1019–1035. [Google Scholar] [CrossRef] [Green Version]
  4. Stodden, D.F.; Goodway, J.D.; Langendorfer, S.J.; Roberton, M.A.; Rudisill, M.E.; Garcia, C.; Garcia, L.E. A developmental perspective on the role of motor skill competence in physical activity: An emergent relationship. Quest 2008, 60, 290–306. [Google Scholar] [CrossRef]
  5. Robinson, L.E.; Stodden, D.F.; Barnett, L.M.; Lopes, V.P.; Logan, S.W.; Rodrigues, L.P.; D’Hondt, E. Motor competence and its effect on positive developmental trajectories of health. Sports Med. 2015, 45, 1273–1284. [Google Scholar] [CrossRef]
  6. Utesch, T.; Bardid, F.; Büsch, D.; Strauss, B. The relationship between motor competence and physical fitness from early childhood to early adulthood: A meta-analysis. Sports Med. 2019, 49, 541–551. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  7. Public Health Agency of Sweden. Health Behaviour in Swedish School-Aged Children 2017/18 [Skolbarns hälsovanor i Sverige 2017/18—Grundrapport]; Public Health Agency of Sweden: Stockholm, Sweden, 2019.
  8. Inchley, J.; Currie, D.; Budisavljevic, S.; Torsheim, T.; Jåstad, A.; Cosma, A.; Kelly, C.; Arnarsson, Á.M.; Barnekow, V.; Weber, M.M. Spotlight on Adolescent Health and Well-Being: Findings from the 2017/2018 Health Behaviour in School-Aged Children (HBSC) Survey in Europe and Canada; WHO Regional Office for Europe: Copenhagen, Denmark, 2020. [Google Scholar]
  9. Hagquist, C.; Due, P.; Torsheim, T.; Välimaa, R. Cross-country comparisons of trends in adolescent psychosomatic symptoms–a Rasch analysis of HBSC data from four Nordic countries. Health Qual. Life Outcomes 2019, 17, 27. [Google Scholar] [CrossRef]
  10. Högberg, B.; Strandh, M.; Hagquist, C. Gender and secular trends in adolescent mental health over 24 years—The role of school-related stress. Soc. Sci. Med. 2020, 250, 112890. [Google Scholar] [CrossRef]
  11. Granger, E.; Di Nardo, F.; Harrison, A.; Patterson, L.; Holmes, R. Verma, A. A systematic review of the relationship of physical activity and health status in adolescents. Eur. J. Public Health 2017, 27 (Suppl. 2), 100–106. [Google Scholar] [CrossRef] [Green Version]
  12. McMahon, E.M.; Corcoran, P.; O’Regan, G.; Keeley, H.; Cannon, M.; Carli, V.; Wasserman, C.; Hadlaczky, G.; Sarchiapone, M.; Apter, A. Physical activity in European adolescents and associations with anxiety, depression and well-being. Eur. Child Adolesc. Psychiatry 2017, 26, 111–122. [Google Scholar] [CrossRef]
  13. Nyström, M.B.; Neely, G.; Hassmen, P.; Carlbring, P. Treating major depression with physical activity: A systematic overview with recommendations. Cogn. Behav. Ther. 2015, 44, 341–352. [Google Scholar] [CrossRef]
  14. Nyström, C.D.; Larsson, C.; Alexandrou, C.; Ehrenblad, B.; Eriksson, U.; Friberg, M.; Hagströmer, M.; Lindroos, A.K.; Nyberg, G.; Löf, M. Results from Sweden’s 2018 report card on physical activity for children and youth. J. Phys. Act. Health 2018, 15, S413–S414. [Google Scholar] [CrossRef] [Green Version]
  15. Tremblay, M.S.; LeBlanc, A.G.; Kho, M.E.; Saunders, T.J.; Larouche, R.; Colley, R.C.; Goldfield, G.; Gorber, S.C. Systematic review of sedentary behaviour and health indicators in school-aged children and youth. Int. J. Behav. Nutr. Phys. Act. 2011, 8, 98. [Google Scholar] [CrossRef] [Green Version]
  16. Chzhen, Y.; Moor, I.; Pickett, W.; Toczydlowska, E.; Stevens, G.W.J.M. International trends in ‘bottom-end’inequality in adolescent physical activity and nutrition: HBSC study 2002–2014. Eur. J. Public Health 2018, 28, 624–630. [Google Scholar] [CrossRef]
  17. Ekelund, U.; Luan, J.; Sherar, L.B.; Esliger, D.W.; Griew, P.; Cooper, A.; International Children’s Accelerometry Database Collaborators. Moderate to vigorous physical activity and sedentary time and cardiometabolic risk factors in children and adolescents. JAMA 2012, 307, 704–712. [Google Scholar] [CrossRef] [Green Version]
  18. Nelson, M.C.; Gordon-Larsen, P. Physical activity and sedentary behavior patterns are associated with selected adolescent health risk behaviors. Pediatrics 2006, 117, 1281–1290. [Google Scholar] [CrossRef] [Green Version]
  19. Pate, R.R.; O’neill, J.R.; Lobelo, F. The evolving definition of” sedentary”. Exerc. Sport Sci. Rev. 2008, 36, 173–178. [Google Scholar] [CrossRef]
  20. Staiano, A.E.; Harrington, D.M.; Barreira, T.V.; Katzmarzyk, P.T. Sitting time and cardiometabolic risk in US adults: Associations by sex, race, socioeconomic status and activity level. Br. J. Sports Med. 2014, 48, 213–219. [Google Scholar] [CrossRef]
  21. Hamilton, M.T.; Healy, G.N.; Dunstan, D.W.; Zderic, T.W.; Owen, N. Too little exercise and too much sitting: Inactivity physiology and the need for new recommendations on sedentary behavior. Curr. Cardiovasc. Risk Rep. 2008, 2, 292. [Google Scholar] [CrossRef] [Green Version]
  22. Byun, W.; Dowda, M.; Pate, R.R. Associations between screen-based sedentary behavior and cardiovascular disease risk factors in Korean youth. J. Korean Med Sci. 2012, 27, 388–394. [Google Scholar] [CrossRef] [Green Version]
  23. Pate, R.R.; Mitchell, J.A.; Byun, W.; Dowda, M. Sedentary behaviour in youth. Br. J. Sports Med. 2011, 45, 906–913. [Google Scholar] [CrossRef]
  24. Sisson, S.B.; Broyles, S.T.; Baker, B.L.; Katzmarzyk, P.T. Screen time, physical activity, and overweight in US youth: National Survey of Children’s Health 2003. J. Adolesc. Health 2010, 47, 309–311. [Google Scholar] [CrossRef]
  25. Ekblom-Bak, E.; Ekblom, Ö.; Andersson, G.; Wallin, P.; Ekblom, B. Physical education and leisure-time physical activity in youth are both important for adulthood activity, physical performance, and health. J. Phys. Act. Health 2018, 15, 661–670. [Google Scholar] [CrossRef] [PubMed]
  26. Hausenblas, H.A.; Fallon, E.A. Exercise and body image: A meta-analysis. Psychol. Health 2006, 21, 33–47. [Google Scholar] [CrossRef]
  27. Kantanista, A.; Osiński, W.; Borowiec, J.; Tomczak, M.; Król-Zielińska, M. Body image, BMI, and physical activity in girls and boys aged 14–16 years. Body Image 2015, 15, 40–43. [Google Scholar] [CrossRef] [PubMed]
  28. Grogan, S. Body Image: Understanding Body Dissatisfaction in Men, Women and Children; Routledge: London, UK, 2016. [Google Scholar]
  29. Diener, E.; Wolsic, B.; Fujita, F. Physical attractiveness and subjective well-being. J. Personal. Soc. Psychol. 1995, 69, 120. [Google Scholar] [CrossRef]
  30. Bluth, K.; Campo, R.A.; Futch, W.S.; Gaylord, S.A. Age and gender differences in the associations of self-compassion and emotional well-being in a large adolescent sample. J. Youth Adolesc. 2017, 46, 840–853. [Google Scholar] [CrossRef] [Green Version]
  31. Bucchianeri, M.M.; Arikian, A.J.; Hannan, P.J.; Eisenberg, M.E.; Neumark-Sztainer, D. Body dissatisfaction from adolescence to young adulthood: Findings from a 10-year longitudinal study. Body Image 2013, 10, 1–7. [Google Scholar] [CrossRef] [Green Version]
  32. Allgood-Merten, B.; Lewinsohn, P.M.; Hops, H. Sex differences and adolescent depression. J. Abnorm. Psychol. 1990, 99, 55. [Google Scholar] [CrossRef]
  33. Richards, M.H.; Boxer, A.W.; Petersen, A.C.; Albrecht, R. Relation of weight to body image in pubertal girls and boys from two communities. Dev. Psychol. 1990, 26, 313. [Google Scholar] [CrossRef]
  34. Wykes, M.; Gunter, B. The Media and Body Image: If Looks Could Kill; Sage: Thousand Oaks, CA, USA, 2004. [Google Scholar]
  35. Henwood, K.; Gill, R.; McLean, C. The changing man. Psychologist 2002, 15, 182–187. [Google Scholar]
  36. Tiggemann, M.; Miller, J. The Internet and adolescent girls’ weight satisfaction and drive for thinness. Sex Roles 2010, 63, 79–90. [Google Scholar] [CrossRef]
  37. Dittmar, H. How do “body perfect” ideals in the media have a negative impact on body image and behaviors? Factors and processes related to self and identity. J. Soc. Clin. Psychol. 2009, 28, 1–8. [Google Scholar] [CrossRef]
  38. Sollerhed, A.-C. Young Today—Adult Tomorrow! Studies on Physical Status, Physical Activity, Attitudes, and Self-Perception in Children and Adolescents; Faculty of Medicine, Lund University: Lund, Sweden, 2006. [Google Scholar]
  39. Cole, T.J.; Bellizzi, M.C.; Flegal, K.M.; Dietz, W.H. Establishing a standard definition for child overweight and obesity worldwide: International survey. BMJ 2000, 320, 1240. [Google Scholar] [CrossRef] [Green Version]
  40. Michel, G.; Bisegger, C.; Fuhr, D.C.; Abel, T. Age and gender differences in health-related quality of life of children and adolescents in Europe: A multilevel analysis. Qual. Life Res. 2009, 18, 1147. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  41. Marmot, M.; Wilkinson, R. Social Determinants of Health; OUP: Oxford, UK, 2005. [Google Scholar]
  42. Operario, D.; Adler, N.E.; Williams, D.R. Subjective social status: Reliability and predictive utility for global health. Psychol. Health 2004, 19, 237–246. [Google Scholar] [CrossRef]
  43. Menard, S. Logistic Regression: From Introductory to Advanced Concepts and Applications; Sage: Thousand Oaks, CA, USA, 2010. [Google Scholar]
  44. Louviere, J.J.; Hensher, D.A.; Swait, J.D. Stated Choice Methods: Analysis and Applications; Cambridge University Press: Cambridge, UK, 2000. [Google Scholar]
  45. Garmy, P.; Idecrans, T.; Hertz, M.; Sollerhed, A.-C.; Hagell, P. Is sleep duration associated with self-reported overall health, screen time, and nighttime texting among adolescents? J. Int. Med Res. 2019, 48. [Google Scholar] [CrossRef] [PubMed]
  46. Cole, T.J.; Bellizzi, M.C.; Flegal, K.M.; Dietz, W.H. Body mass index in children worldwide: Cut-off points for overweight and obesity. BMJ 2000, 320, 1240–1243. [Google Scholar] [CrossRef] [Green Version]
  47. Wells, J.; Barlow, J.; Stewart-Brown, S. A systematic review of universal approaches to mental health promotion in schools. Health Educ. 2003, 103, 197–220. [Google Scholar] [CrossRef]
  48. Elovainio, M.; Pietikäinen, M.; Luopa, P.; Kivimäki, M.; Ferrie, J.E.; Jokela, J.; Suominen, S.; Vahtera, J.; Virtanen, M. Organizational justice at school and its associations with pupils’ psychosocial school environment, health, and wellbeing. Soc. Sci. Med. 2011, 73, 1675–1682. [Google Scholar] [CrossRef]
  49. Maddox, S.J.; Prinz, R.J. School bonding in children and adolescents: Conceptualization, assessment, and associated variables. Clin. Child Fam. Psychol. Rev. 2003, 6, 31–49. [Google Scholar] [CrossRef]
  50. Anderman, E.M. School effects on psychological outcomes during adolescence. J. Educ. Psychol. 2002, 94, 795. [Google Scholar] [CrossRef]
  51. Torsheim, T.; Wold, B. School-related stress, support, and subjective health complaints among early adolescents: A multilevel approach. J. Adolesc. 2001, 24, 701–713. [Google Scholar] [CrossRef]
  52. Saab, H.; Klinger, D. School differences in adolescent health and wellbeing: Findings from the Canadian Health Behaviour in School-aged Children Study. Soc. Sci. Med. 2010, 70, 850–858. [Google Scholar] [CrossRef]
  53. Tylka, T.L. Positive psychology perspectives on body image. In Body Image: A Handbook of Science, Practice, and Prevention; The Guilford Press: New York, NY, USA, 2011. [Google Scholar]
  54. Wood-Barcalow, N.L.; Tylka, T.L.; Augustus-Horvath, C.L. “But I like my body”: Positive body image characteristics and a holistic model for young-adult women. Body Image 2010, 7, 106–116. [Google Scholar] [CrossRef]
  55. Bucchianeri, M.M.; Neumark-Sztainer, D. Body dissatisfaction: An overlooked public health concern. J. Public Ment. Health 2014, 13, 64–69. [Google Scholar] [CrossRef]
  56. Holmqvist Gattario, K. Body Image in Adolescence: Through the Lenses of Culture, Gender, and Positive Psychology. Ph.D. Thesis, University of Gothenburg School of Global Studies, Göteborg, Sweden, 2013. [Google Scholar]
  57. Telford, R.M.; Telford, R.D.; Olive, L.S.; Cochrane, T.; Davey, R. Why are girls less physically active than boys? Findings from the LOOK longitudinal study. PLoS ONE 2016, 11, e0150041. [Google Scholar] [CrossRef]
  58. Wiklund, M.; Malmgren-Olsson, E.-B.; Öhman, A.; Bergström, E.; Fjellman-Wiklund, A. Subjective health complaints in older adolescents are related to perceived stress, anxiety and gender–a cross-sectional school study in Northern Sweden. BMC Public Health 2012, 12, 993. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  59. Parfitt, G.; Pavey, T.; Rowlands, A.V. Children’s physical activity and psychological health: The relevance of intensity. Acta Paediatr. 2009, 98, 1037. [Google Scholar] [CrossRef] [PubMed]
  60. Gerber, M.; Brand, S.; Herrmann, C.; Colledge, F.; Holsboer-Trachsler, E.; Pühse, U. Increased objectively assessed vigorous-intensity exercise is associated with reduced stress, increased mental health and good objective and subjective sleep in young adults. Physiol. Behav. 2014, 135, 17–24. [Google Scholar] [CrossRef] [PubMed]
  61. Haugland, S.; Wold, B.; Torsheim, T. Relieving the pressure? The role of physical activity in the relationship between school-related stress and adolescent health complaints. Res. Q. Exerc. Sport 2003, 74, 127–135. [Google Scholar] [CrossRef]
  62. Warburton, D.E.; Nicol, C.W.; Bredin, S.S. Health benefits of physical activity: The evidence. CMAJ 2006, 174, 801–809. [Google Scholar] [CrossRef] [Green Version]
  63. Chaddock, L.; Erickson, K.I.; Prakash, R.S.; Kim, J.S.; Voss, M.W.; Van Patter, M.; Pontifex, M.B.; Raine, L.B.; Konkel, A.; Hillman, C.H. A neuroimaging investigation of the association between aerobic fitness, hippocampal volume, and memory performance in preadolescent children. Brain Res. 2010, 1358, 172–183. [Google Scholar] [CrossRef] [Green Version]
  64. Chaddock-Heyman, L.; Erickson, K.I.; Holtrop, J.L.; Voss, M.W.; Pontifex, M.B.; Raine, L.B.; Hillman, C.H.; Kramer, A.F. Aerobic fitness is associated with greater white matter integrity in children. Front. Hum. Neurosci. 2014, 8, 584. [Google Scholar] [CrossRef]
  65. Coe, D.P.; Pivarnik, J.M.; Womack, C.J.; Reeves, M.J.; Malina, R.M. Effect of physical education and activity levels on academic achievement in children. Med. Sci. Sports Exerc. 2006, 38, 1515–1519. [Google Scholar] [CrossRef] [Green Version]
  66. Bangsbo, J.; Krustrup, P.; Duda, J.; Hillman, C.; Andersen, L.B.; Weiss, M.; Williams, C.A.; Lintunen, T.; Green, K.; Hansen, P.R. The Copenhagen Consensus Conference 2016: Children, youth, and physical activity in schools and during leisure time. Br. J. Sports Med. 2016, 50, 1177–1178. [Google Scholar] [CrossRef] [Green Version]
  67. Logi Kristjánsson, Á.; Sigfúsdóttir, I.D.; Allegrante, J.P. Health behavior and academic achievement among adolescents: The relative contribution of dietary habits, physical activity, body mass index, and self-esteem. Health Educ. Behav. 2010, 37, 51–64. [Google Scholar] [CrossRef] [Green Version]
  68. Chomitz, V.R.; Slining, M.M.; McGowan, R.J.; Mitchell, S.E.; Dawson, G.F.; Hacker, K.A. Is there a relationship between physical fitness and academic achievement? Positive results from public school children in the northeastern United States. J. Sch. Health 2009, 79, 30–37. [Google Scholar] [CrossRef]
  69. Hussey, J.; Bell, C.; Bennett, K.; O’Dwyer, J.; Gormley, J. Relationship between the intensity of physical activity, inactivity, cardiorespiratory fitness and body composition in 7–10-year-old Dublin children. Br. J. Sports Med. 2007, 41, 311–316. [Google Scholar] [CrossRef]
  70. Nyberg, G.A.; Nordenfelt, A.M.; Ekelund, U.; Marcus, C. Physical activity patterns measured by accelerometry in 6-to 10-yr-old children. Med. Sci. Sports Exerc. 2009, 41, 1842–1848. [Google Scholar] [CrossRef]
  71. Hagger, M.S.; Chatzisarantis, N.; Biddle, S.J. The influence of self-efficacy and past behaviour on the physical activity intentions of young people. J. Sports Sci. 2001, 19, 711–725. [Google Scholar] [CrossRef] [PubMed]
  72. Ravens-Sieberer, U.; Erhart, M.; Wille, N.; Wetzel, R.; Nickel, J.; Bullinger, M. Generic health-related quality-of-life assessment in children and adolescents: Methodological considerations. Pharmacoeconomics 2006, 24, 1199–1220. [Google Scholar] [CrossRef] [PubMed]
Table
Table 2. Bivariate analysis of subjective health and other factors among Swedish adolescents aged 13–15 years (n = 1518).
Table 2. Bivariate analysis of subjective health and other factors among Swedish adolescents aged 13–15 years (n = 1518).
Good Subjective Health (%)Poor Subjective Health (%)p-Value *
Sex a
Girls632 (48.0)126 (70.0)<0.0001
Boys685 (52.0)54 (30.0)
Age a
13 years174 (13.1)16 (8.8)0.191
14 years1138 (85.9)163 (89.6)
15 years13 (1.0)3 (1.6)
Perceived wellbeing in school a
Very good814 (61.8)37 (20.6)<0.0001
Quite good489 (37.1)127 (70.6)
Not good at all14 (1.1)16 (8.9)
Perceived family financial situation a
Very good640 (48.9)47 (26.4)<0.0001
Quite good463 (35.4)70 (39.3)
Average190 (13.6)50 (28.1)
Not so good12 (0.9)7 (3.9)
Not good at all2 (0.2)4 (2.2)
Perceived body appearance a
Yes, completely satisfied347 (26.3)12 (6.7)<0.0001
Yes, quite satisfied810 (61.4)87 (48.3)
No, quite dissatisfied 143 (10.8)59 (32.8)
No, not at all satisfied19 (1.4)21 (11.7)
Perceived body functioning a
Yes, completely satisfied654 (49.5)28 (15.6)<0.0001
Yes, quite satisfied596 (45.1)105 (58.3)
No, quite dissatisfied 69 (5.2)41 (22.8)
No, not at all satisfied2 (.2)6 (3.3)
Physical activity (PA) a
Never42 (3.2)8 (4.4)<0.0001
Sometime per year30 (2.3)9 (5.0)
Sometime per month105 (7.9)30 (16.6)
Regularly once a week128 (9.7)23 (12.7)
Regularly twice a week213 (16.1)39 (21.5)
Regularly three times a week305 (23.1)34 (18.8)
Regularly four times or more 500 (37.8)38 (21.0)
BMI b
Normal weight1043 (85.4)128 (79.0)0.037
Overweight/obesity178 (14.6)34 (21.0)
Residence a
Urban945 (71.3)128 (70.3)0.794
Rural380 (28.7)54 (29.7)
* Chi Square. Missing values: a < 2.1%; b = 8.9%.
Table
Table 3. Variance Inflation Factors for wellbeing in school, family financial situation, body appearance, body functions, sex, PA, BMI, and residency (n = 1518).
Table 3. Variance Inflation Factors for wellbeing in school, family financial situation, body appearance, body functions, sex, PA, BMI, and residency (n = 1518).
VariableVIF
Wellbeing in school1.02
Family financial situation1.03
Body appearance1.16
Body functions1.14
Sex1.04
PA1.02
BMI1.14
Residency1.03
Table
Table 4. Crude analysis of the associations between good subjective health and independent variables among Swedish adolescents aged 13–15 years (n = 1518).
Table 4. Crude analysis of the associations between good subjective health and independent variables among Swedish adolescents aged 13–15 years (n = 1518).
VariableBSEχ2pOR95% CI
(Intercept)1.260.09176.14<0.001--
Good wellbeing in school *1.830.1990.28<0.0016.25[4.29, 9.13]
(Intercept)1.210.1568.44<0.001--
Good family financial situation *1.040.1834.99<0.0012.82[2.00, 3.98]
(Intercept)0.710.1426.66<0.001--
Satisfied with body appearance *1.750.17103.67<0.0015.77[4.12, 8.09]
(Intercept)0.410.194.810.028--
Satisfied with body functions *1.830.2176.50<0.0016.22[4.13, 9.37]
(Intercept)1.610.10273.20<0.001--
Sex (Boy) *0.930.1729.18<0.0012.53[1.81, 3.54]
(Intercept)1.560.11218.76<0.001--
PA (Three times a week or more) *0.860.1627.90<0.0012.35[1.71, 3.23]
(Intercept)1.660.1978.23<0.001--
BMI (Normal weight) *0.440.214.470.0351.56[1.03, 2.35]
(Intercept)2.000.09450.55<0.001--
Residency (Rural) *−0.050.170.080.7820.95[0.68, 1.34]
* Note. Good wellbeing in school: χ2(1) = 112.63, p < 0.001, McFadden R2 = 0.10. * Note. Good family financial situation: χ2(1) = 32.09, p < 0.001, McFadden R2 = 0.03. * Note. Satisfied with body appearance: χ2(1) = 96.12, p < 0.001, McFadden R2 = 0.09. * Note. Satisfied with body functions: χ2(1) = 66.70, p < 0.001, McFadden R2 = 0.06. * Note. Sex (Boy): χ2(1) = 31.51, p < 0.001, McFadden R2 = 0.03. * Note. PA (Three times a week or more): χ2(1) = 28.62, p < 0.001, McFadden R2 = 0.03. * Note. BMI (Normal weight): χ2(1) = 4.20, p = 0.041, McFadden R2 = 0.00. * Note. Residency (Rural): χ2(1) = 0.08, p = 0.782, McFadden R2 = 0.00.
Table
Table 5. Logistic regression analysis of factors related to subjective health (good or very good) among Swedish adolescents aged 13–15 years adjusted by gender, economic status and residency (n = 1518).
Table 5. Logistic regression analysis of factors related to subjective health (good or very good) among Swedish adolescents aged 13–15 years adjusted by gender, economic status and residency (n = 1518).
VariableBSEχ2pOR95% CI
(Intercept)−1.330.3514.65< 0.001--
Good wellbeing in school 1.490.2246.36< 0.0014.44[2.89, 6.81]
Good family financial situation 0.990.2121.99< 0.0012.68[1.77, 4.04]
Satisfied with body appearance1.160.2227.93< 0.0013.19[2.07, 4.90]
Satisfied with body functions0.810.288.620.0032.25[1.31, 3.87]
Sex (Boy)0.630.209.630.0021.89[1.26, 2.81]
PA (Three times a week or more)0.520.197.270.0071.69[1.15, 2.47]
BMI (Normal weight)−0.100.260.150.7000.90[0.54, 1.51]
Residency (Rural)−0.070.220.100.7491.07[0.70, 1.65]
Note. χ2(8) = 204.26, p < 0.001, McFadden R2 = 0.21. OR, Odds ratio; CI, Confidence interval.
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Sollerhed, A.-C.; Lilja, E.; Heldt Holmgren, E.; Garmy, P. Subjective Health, Physical Activity, Body Image and School Wellbeing among Adolescents in South of Sweden. Nurs. Rep. 2021, 11, 811-822. https://doi.org/10.3390/nursrep11040076

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Sollerhed A-C, Lilja E, Heldt Holmgren E, Garmy P. Subjective Health, Physical Activity, Body Image and School Wellbeing among Adolescents in South of Sweden. Nursing Reports. 2021; 11(4):811-822. https://doi.org/10.3390/nursrep11040076

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Sollerhed, Ann-Christin, Emma Lilja, Emily Heldt Holmgren, and Pernilla Garmy. 2021. "Subjective Health, Physical Activity, Body Image and School Wellbeing among Adolescents in South of Sweden" Nursing Reports 11, no. 4: 811-822. https://doi.org/10.3390/nursrep11040076

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