Skip to main content

The impacts of multiple obesity-related interventions on quality of life in children and adolescents: a randomized controlled trial


Background and purpose

Obesity has become a serious public health problem and family- and school-based interventions including physical exercise and diet control have been widely applied to attempt to combat this issue. The purpose of our study was to verify the effectiveness of an obesity-related comprehensive intervention model aimed at improving quality of life (QoL) among adolescents.


A cluster randomized controlled trial (RCT) was conducted involving 948 subjects who were divided into an intervention group (n = 518) and a control group (n = 430). The intervention group received 1 year of obesity-related health education, physical exercise, and diet control. Their baseline body mass index (BMI) was calculated, and their QoL and basic information were assessed both before and after the intervention period using a self-designed Adolescent Quality of Life Scale and a basic information questionnaire.


After the intervention, significant differences in the psychological, social, and pubertal dimensions, and in total QoL (P < 0.05) were observed in the intervention group relative to the control group. Improved psychological QoL in the intervention group was our most robust study finding, with increases in psychological (B = 1.883, SE = 0.646, P = 0.004), pubertal (B = 0.853, SE = 0.296, P = 0.004) and total (B = 3.024, SE = 1.214, P = 0.013) QoL all being higher in this group. This intervention effect was found to be more substantial in boys than in girls.


Family-individual-school-based interventions combining obesity-related health education, physical exercise, and diet control can improve psychological, pubertal, and total QoL in children, with these effects being most pronounced in boys.

Trial registration

retrospectively registered NCT02343588.


Rates of obesity are rapidly increasing throughout the world, posing a serious public health concern. Globally, the prevalence of obesity is highest in developed countries, while two-thirds of obese individuals hail from developing countries. Between 1975 and 2016, the percentage of obese adults increased almost threefold [1]. Moreover, the average weight of children had risen over 5 kg within the last 30 years in the United States, with even more rapid increases in low- and middle-income countries between 2002 and 2018 [2,3,4]. In China, approximately 43% of adults and 20% of children are overweight or obese owing to changes in traditional lifestyle such as the increased popularity of Western fast food, declines in the regular practice of physical activity, and increased prevalence of a sedentary lifestyle [5]. It is therefore important that more efforts be made to combat this obesity problem.

Being overweight or obese is extremely harmful and can affect both physical and psychological health, increasing the risk of chronic non-communicable diseases including type 2 diabetes, hypertension, and fatty liver disease [6, 7]. In recent years, a strong link between obesity and various cancers has also been identified [8]. Obesity is thought to contribute to approximately 16–20% of cancer-related deaths in women and 14% in men [9]. From a psychological perspective, being overweight or obese increases the susceptibility of children to depression, anxiety, emotional disorders, and mood disorders [10, 11]. Horae et al. [12] found that children who are overweight or obese are 1.83 times more likely to suffer from depression than their normal-weight counterparts. Similarly, Sanderson et al. [13] found that children who were overweight or obese were more likely to suffer from mood disorders over the course of a 20-year longitudinal cohort study. In contrast, maintaining a normal body mass index (BMI25 kg/m2) is a protective factor with the potential to prevent up to 90,000 cancer deaths per year in the United States alone [14]. It is thus very clear that being overweight or obese can adversely affect quality of life (QoL) in children.

The exact genetic and environmental factors that influence obesity are complex [15]. Genes are thought to be major contributors to the development of these metabolic conditions, while environmental factors such as diet and exercise are generally regarded as being substantially easier to change in order to prevent excess weight gain [16, 17]. Lifestyle modifications including dietary changes and physical activities remain the foundation for optimal prevention and treatment strategies in overweight and obese children in existing studies [18, 19]. In combination with exercise, diet can further improve levels of high-density lipoprotein (HDL) cholesterol, fasting glucose, fasting insulin, and psychological health [7, 20]. Despite these clear advantages, most individuals have substantial difficulties maintaining dietary- and exercise-based interventions over extended time periods [17]. In general, after acute intervention efforts end, most subjects revert to their original lifestyle. Therefore, it is important that a health education approach be employed so as to improve the positive attitudes and behaviors of these individuals.

In summary, being overweight or obese can adversely impact the QoL of children and adolescents, and obesity-related interventions can improve QoL in obese children. However, children often have difficulty maintaining the behaviors introduced during these intervention efforts. Therefore, the aim of present study was to evaluate the impact of a comprehensive family-individual-school-based intervention approach involving obesity-related health education, diet control, and physical exercise on the QoL of Chinese children and adolescents.


Study design, participants, and process

A cluster-based randomized controlled trial (RCT) involving 4 schools was conducted in ShaPingBa district, ChongQing. Two primary schools and two middle schools were randomly selected from this district. Next, four to six classes were chosen randomly from grades 4–6 in these primary schools and grades 7–9 in these middle schools. Primary schools and middle schools were each randomly separated into 2 groups: an intervention group that received comprehensive obesity-related interventions and a control group that received no specific interventions. Based on previous similar studies and with an 81% power, an ɑ level of 0.05, and a potential dropout rate of 20%, we found that a sample size in the intervention and control groups of 30 participants each was necessary to detect a clinically relevant difference of 3 QoL points between these groups [21]. Our study was conducted on all students in grades 4–5 in the primary schools and grades 7–8 in the middle schools over a single time period. Children in grades 6 and 9 were not participants in this study, as their matriculation to the next grade level would have caused them to miss follow-up visits necessary for this study. In total, 948 participants were recruited to participate in our study, including 479 boys and 469 girls, of whom 642 were primary school students and 306 were middle school students. The duration of intervention in this study was 1 year, with some students being lost to follow-up during the follow-up period. The study was approved by the Biomedical Ethics Committee of Peking University (IRB 00001052–13,034) and the ethical committee of Chongqing Medical University. Written informed consent was obtained from students and their parents before this study was conducted.

The baseline investigations were conducted in November 2016, and involved 445 students in the control group and 547 students in the intervention group that had completed the Adolescent Quality of Life Scale and provided baseline information. After the 1-year intervention period from November 2016 to November 2017, we conducted the final assessment in December 2017 with 430 students in the control group and 518 students in the intervention group returning to provide all of the same information collected at baseline. Figure 1 shows a flow chart of the study design.

Fig. 1
figure 1

Flow chart of study

Students filled out all questionnaires in a classroom setting with the help of their head teachers. Investigators, including 6 postgraduates and 2 teachers, were first trained by professors regarding the proper administration of this questionnaire before investigation. At the beginning of the investigation, these investigators informed all participants of the study aim, significance, and process, and obtained their informed consent. Next, the questionnaire instructions were read to students, who were then instructed to complete these forms in their entirety. All questionnaires were then collected from students and immediately reviewed, with any questionnaires that were missing or that contained mistakes being returned to the appropriate students for modification.

During the intervention period, the intervention group was supervised once per month. Through an interview form, we collected feedback regarding the intervention activities, problems arising during the intervention process, and suggestions and general opinions regarding the study, with improvements being made as appropriate. We also contacted monitors and head teachers to help supervise the diet and physical activity of these study subjects through these monthly check-ins. If subjects did not complete their intervention tasks as required, we contacted their parents and/or schools to ask them to complete the task.

Family-individual-school-based comprehensive intervention

Table 1 details the family-individual-school-based comprehensive intervention measures employed in our study. This joint intervention strategy included family-, individual-, and school-based interventions involving three aspects: health education, diet, and physical activity which were targeted in accordance with previous surveys of obesity-related interventions [21, 23]. Teachers were the agents for the school-based interventions, while parents were the agents for the family-based interventions.

Table 1 Family-Individual-School-based comprehensive interventions for combating obesity

This comprehensive intervention approach involved informing participants of the risk factors and health consequences of being overweight or obese, while also introducing actionable prevention strategies and emphasizing that positive beliefs and health education offer the best means of avoiding these unhealthy behaviors, thus allowing these children to attain an improved QoL. We additionally provided these students with a healthy diet plan based on current Chinese dietary guidelines and provided a formulated exercise plan (Additional files 2-3).


Body mass index (BMI) was determined for each participant based on their height and weight, as obtained from the Shapingba Primary and Secondary School Students Health Care Center in Chongqing. Height was accurate to within 0.1 cm, and weight was accurate to within 0.1 kg. BMI = weight (kg) / height (m2).

The Adolescent Quality of Life Scale [24] which includes physical(8 items), psychological(11 items), social(14 items), and pubertal dimensions(6 items) involving 10 factors (somatic symptoms, sleep status, negative emotions, aggressive emotions, school life, family life, peer relationships, appearance experiences, pubertal feelings, and pubertal cognition) was used to assess the QoL for study participants. Items regarding the frequencies of particular phenomena presented students with 5 options: “never (5 points)”,” almost never (4 points)”,” sometimes (3 points)”,” often (2 points)” and “always (1 point)”, with the exception of the item “How often do you take the initiative to understand puberty?” which included the following options: “never (1 point)”,” almost never (2 points)”,” sometimes (3 points)”,” often (4 points)” and “always (5 points)”. Items about life satisfaction also offered 5 options: “Very dissatisfied (1 point)”, “unsatisfactory (2 points)”, “neutral (3 points)”, “satisfactory (4 points)” and “very satisfactory (5 points)”. We tested the reliability and validity of this Adolescent Quality of Life Scale in primary and middle school students in Chongqing, with the resultant ɑ coefficients of the physical, social, psychological, and pubertal dimensions, and the overall scale being 0.81, 0.77, 0.85, 0.64, and 0.89, respectively. Retest reliability values were also calculated as being 0.76, 0.78, 0.82, 0.72, and 0.88, respectively [24]. These previous results suggest that this scale is a reliable means of accurately assessing adolescent QoL.

We collected the key baseline demographic information with the potential to impact QoL from each participant, including school, sex, grade, class, family economic status, family relationships, parental educational level, parenting style, academic pressure, academic records, number of close friends, and similar factors through a baseline informational questionnaire. Family economic status, family relationships, and academic pressure were determined by subjective self-judgments relative to each participants’ peers. Parenting style options included democratic (respectful, understanding, and supportive), autocratic (strict, with excessive behavioral regulations), indulgent, and neglectful.

Data analysis

SPSS 21.0 and EpiData 3.1 were used to analyze the data from this study. We initially tested the equilibrium between the control and intervention groups via Chi-squared tests and t-tests. Then, paired t-tests were utilized to test changes in participant QoL after intervention in the control and intervention groups. We then calculated the changes in QoL over baseline and used this variable along with other assessed items in a multi-level mixed effect analysis with school level as a random effect in order to explore the effectiveness of the interventions on particular aspects of QoL, and to assess group-specific differences in outcomes (boys vs. girls). This approach allows us to control for the influence of different schools and potential confounding factors (sex, degree of education, only child status, family economic situation, family relationships, educational level of parents, parenting style, study record, study pressure, and number of close friends) on study outcomes.


Distribution of sociodemographic characteristics between control group and intervention group

The average age of participants in this study was 11.39 ± 1.81 years (range: 9–17). Table 2 demonstrates that there were no significant differences in terms of sex, degree of education, family economic status, family relationships, parental educational levels, parenting style, academic records, academic pressure, or number of close friends (P > 0.05) at baseline between the control and intervention groups. Only child status (P = 0.030) and BMI (P = 0.001) did differ significantly between these groups at baseline. Therefore, when comparing the differences in QoL between the intervention group and the control group, we controlled for the impacts of only child status and baseline BMI on QoL via a multiple linear regression analysis approach.

Table 2 Equilibrium test of socio-demographic characteristics between intervention and control groups in baseline(n = 1256)

Comparison of baseline and post-intervention QoL between control and intervention groups

Table 3 shows the QoL at baseline and after intervention in both the control and intervention groups. There were significant improvements in the psychological, social, and pubertal dimensions of the QoL scale as well as in total QoL (P < 0.05), but not in the physical dimension (p > 0.05), in both the control and intervention groups. Psychological, social, and pubertal dimensions, as well as overall QoL, increased by 2.77, 2.20, 1.95, and 6.86 points, respectively, following the intervention period in the intervention group. In the control group, these parameters were also increased at follow-up relative to baseline, though the increase was not as substantial as for the intervention group.

Table 3 Comparison of QoL pretest and posttest between two groups. (Paired t-test)

Comparison of the QoL in the control and intervention groups

A multi-level mixed effect analysis was next conducted using a line model with school level as a random effect. Table 4 details the B coefficient value, SE, t, and P-values for the effect of the intervention on changes in QoL based on a multiple linear regression analysis controlling for potential confounding variables with the control group as a reference. Significant differences were identified in the psychological (B = 1.883, SE = 0.646, P = 0.004) and pubertal (B = 0.853, SE = 0.296, P = 0.004) dimensions, as well as in overall QoL (B = 3.024, SE = 1.214, P = 0.013), but not in physical or social dimensions (P > 0.05).

Interventional efficacy varied in different subgroups (Table 4). There were significant differences in psychological (B = 2.605, SE = 0.752, P = 0.001) and pubertal (B = 0.864, SE = 0.417, P = 0.039) dimension scores and in overall QoL (B = 4.904, SE = 1.714, P = 0.004) among boys, with no significant differences in physical or social dimensions (P > 0.05). In contrast, no significant differences were detected for any dimension among girls (P > 0.05).

Table 4 Multi-level mixed effect analysis for intervention associated with QoL (subject: schools)


QoL is defined by the WHO as an individual’s perception of their position in life in the context of the culture and value systems in which they live and in relation to their goals, expectations, standards, and concerns [25]. The QoL index is multidimensional and artificial construct [26], and refers not only to the absence of disease or infirmity but also to a state of complete physical, mental, and social well-being [27]. Previous studies on QoL have mainly focused on its physical, psychological, and social dimensions [28]. However, as participants in our study were in adolescence, the impact of pubertal development on their QoL [29] was also assessed by incorporating a pubertal dimension into our assessment tool that assessed puberty-related feelings and pubertal cognition. This dimension, along with the standard physical, social, and psychological dimensions, was used to explore the efficacy of family-individual-school-based interventions on QoL in school-aged children and adolescents.

In our study, we found that the psychological, social, and pubertal dimensions as well as overall QoL were all significantly improved following the implementation of our family-individual-school-based intervention strategy. QoL was also increased at final follow-up in the control group, although the improvement in the intervention group was greater. Our results revealed that the improvements in psychological QoL were greatest in the intervention group, increasing by 2.77 following intervention. Increases in the pubertal dimension were less profound, while overall QoL was substantially improved by 6.86 points following intervention.

We observed superior enhancement in the psychological QoL of students in the intervention group, consistent with the work of Kovacs E et al. [30], although inconsistent with the work of Warkentin LM et al. [31], who found that physical activity did not significantly improve psychological QoL. At present in China, many thin children, and particularly girls, often report feeling somewhat fat [32], indicating a lack of body image confidence in these children. As our intervention included obesity-related health education, it encouraged participants to accept their own appearance and body image in a positive light, which may account for some of the observed improvements in the psychological QoL dimension scores. There is increasing evidence indicating that physical activity is positively associated with self-esteem and self-efficacy [33, 34], and these favorable traits can improve confidence and life satisfaction, thus contributing to higher QoL. With respect to the pubertal dimension of our QoL scale, the positive changes observed in the intervention group were also greater than those in the control group. No previous studies have focused on this dimension, and so we are unable to compare these results with those of other studies. All participants in this study were adolescents, and as such were undergoing major physical and psychological changes, with psychological maturation often occurring later than physical maturation during this key period. Being overweight or obese will often result in the earlier onset of puberty, widening this gap further [35]. For instance, girls with more body fat content are more likely to experience menarche at younger ages [36]. As our comprehensive obesity-related strategy can reduce fat mass in children and adolescents, it can narrow this gap and thereby improve pubertal QoL.

However, our research identified no intervention-related impact on the physical QoL dimension relative to the control group, which was inconsistent with previous results suggesting that physical exercise can improve QoL [31, 37, 38]. This inconsistency is likely a result of the particular study populations used in each study, as a previous literature review found the influence of weight status on QoL was greater in clinical populations than in normal populations [28]. Our participants were all children in grades 4–5 and 7–9, and all had good physical QoL, so there was little room for improvement of this dimension, whereas in previous studies regarding the effect of obesity-related interventions on QoL [6, 7, 11], participants were largely obese or overweight individuals that had a lower and less stable physical QoL. Therefore, it is more difficult to improve physical QoL for normal participants than for those individuals with physical health issues. We also found that our intervention measures did not affect social QoL, unlike the results of a previous study by Uritani D et al. [39]. This difference may be a consequence of the fact that children and adolescents become more self-centered and rebellious during adolescence but lack sufficient competence to deal with it, leading to more conflicts between parents and adolescents, conflicts between peers, and conflicts between teachers and students. Therefore, in future studies, it will be important to further examine adolescent mental health.

Our study results suggested that the efficacy of this intervention strategy varied between boys and girls, with a much clearer effect in boys, which is inconsistent with the results of previous studies [40, 41]. Brown DW et al. [42] have previously found that physical activity improved quality of life for both men and women. The sex difference observed in our study may be due to the fact that the effect of physical exercise on overall QoL is better than that of diet control [43]. Boys prefer physical exercise and were more likely to adhere to the intervention measures in the present study, and Yiyi Ouyang et al. found that males were more likely to have greater self-efficacy and self-affirmation relative to females, potentially further explaining this sex difference [44]. In addition, there are some prior studies indicating that boys suffer greater QoL impairment than do girls when obese or overweight [45], making it easier to improve the QoL of boys relative to that of girls. However, these results still raise questions regarding pre-adolescent emotional development, puberty issues, and self-image from a gender perspective and make it uncertain as to whether this approach can be generalized to other populations. Therefore, these disparities between boys and girls require further in-depth research.


Family-individual-school-based interventions incorporating obesity-related health education, physical exercise, and diet control can improve psychological and pubertal well-being, as well as overall QoL in children, particularly among boys.


There are several limitations to the current study. While the obesity-related intervention in this study was a comprehensive measure involving school-, family- and individual-based obesity-related health education, physical exercise, and diet control, we did not explore the significance of these three interventions separately. As such, we are unable to determine which, if any, of these interventions is most efficacious. We also did not systematically assess or record subject intervention activities during the study period, and as such only monitors and head teachers conducted quality control for this study, potentially reducing the intervention effect.

Availability of data and materials

Not applicable.



Quality of life


Randomized controlled trial


Body mass index


World Health Organization


  1. Rynkowska S, Tapolska M, Owecki M. Epidemiology of obesity in poland and in the world. Postepy Biologii Komorki. 2019;46(3):235–41.

    Google Scholar 

  2. Stanford FC, Fitch AK. Editorial: pediatric obesity: a focus on treatment options. Front Pediatr. 2019;7:177.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Lobstein T, Jackson-Leach R, Moodie ML, Hall KD, Gortmaker SL, Swinburn BA, et al. Child and adolescent obesity: part of a bigger picture. Lancet. 2015;385(9986):2510–20.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Sigmund E, Sigmundová D, Badura P, Voráčová J, Hobza Vladimír TH Jr, et al. Time-trends and correlates of obesity in Czech adolescents in relation to family socioeconomic status over a 16-year study period (2002–2018). BMC Public Health. 2020;20(1):1–12.

    Article  Google Scholar 

  5. Lim H, Wang YF. Socioeconomic disparities in obesity among children and future actions to fight obesity in China. Ann Transl Med. 2019;7(8):1–5.

    Google Scholar 

  6. Mollerup PM, Nielsen TRH, Bøjsøe C, Kloppenborg JT, Baker JL, Holm JC. Quality of life improves in children and adolescents during a community-based overweight and obesity treatment. Qual Life Res. 2017;26(6):1597–608.

    Article  PubMed  Google Scholar 

  7. Garcia NCB, Lopes WA, Locateli JC, Simões CF, Oliveira GH, Mendes VHS, Pereira IAS, Nardo Junior N. Multidisciplinary obesity treatment improved health-related quality of life and positively correlated with anthropometric and body composition but not with cardiorespiratory fitness parameters in adolescents. Qual Life Res. 2019;28(7):1803–12.

    Article  Google Scholar 

  8. Berger NA. Obesity and cancer pathogenesis. Ann N Y Acad Sci. 2014;13(11):57–76.

    Article  CAS  Google Scholar 

  9. Calle EE, Rodriguez C, Walker-Thurmond K, Thun MJ. Overweight, obesity, and mortality from cancer in a prospectively studied cohort of U.S. adults. N Engl J Med. 2003 Apr 24;348(17):1625–38.

    Article  PubMed  Google Scholar 

  10. Bianchini JAA, da Silva DF, Dada RP, Lopera CA, McNeil J, Nardo Junior N. Improvements in self-reported and parent-proxy perceptions of adolescents' health-related quality of life following a multidisciplinary obesity treatment program. Sport Sci Health. 2017;13(1):131–7.

    Article  Google Scholar 

  11. Sanders RH, Han A, Baker JS, Cobley S. Childhood obesity and its physical and psychological co-morbidities: a systematic review of Australian children and adolescents. Eur J Pediatr. 2015;174(6):715–46.

    Article  PubMed  Google Scholar 

  12. Hoare E, Millar L, Fuller-Tyszkiewicz M, Skouteris H, Nichols M, Jacka F, Swinburn B, Chikwendu C, Allender S. Associations between obesogenic risk and depressive symptomatology in Australian adolescents: a cross-sectional study. J Epidemiol Community Health. 2014;68(8):767–72.

    Article  CAS  PubMed  Google Scholar 

  13. Sanderson K, Patton GC, McKercher C, Dwyer T, Venn AJ. Overweight and obesity in childhood and risk of mental disorder: a 20-year cohort study. Aust N Z J Psychiatry. 2011;45(5):384–92.

    Article  PubMed  Google Scholar 

  14. Calle EE, Kaaks R. Overweight, obesity and cancer: epidemiological evidence and proposed mechanisms. Nat Rev Cancer. 2004;4(8):579–91.

    Article  CAS  PubMed  Google Scholar 

  15. Han JC, Lawlor DA, Kimm SY. Childhood obesity −2010: Progress and challenges. Lancet. 2010;375(9727):1737–48.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Kelly AS, Barlow SE, Rao G, Inge TH, Hayman LL, Steinberger J, Urbina EM, Ewing LJ, Daniels SR. Severe obesity in children and adolescents: identification, associated health risks, and treatment approaches a scientific statement from the American Heart Association. Cirulation. 2013;128(15):1689–712.

    Article  Google Scholar 

  17. Bass R, Eneli I. Severe childhood obesity: an under-recognised and growing health problem. Postgrad Med J. 2015;91(1081):639–45.

    Article  PubMed  Google Scholar 

  18. Güngör NK. Overweight and obesity in children and adolescents. J Clin Res Pediatr Endocrinol. 2014;6(3):129–43.

    Article  PubMed  Google Scholar 

  19. Bravata DM, Sanders L, Huang J, Krumholz HM, Olkin I, Gardner CD, Bravata DM. Efficacy and safety of low-carbohydrate diets: a systematic review. JAMA. 2003;289(14):1837–50.

    Article  CAS  PubMed  Google Scholar 

  20. Ho M, Garnett SP, Baur LA, Burrows T, Stewart L, Neve M, Collins C. Impact of dietary and exercise interventions on weight change and metabolic outcomes in obese children and adolescents:a systematic review and meta-analysis of randomized trials. JAMA Pediatr. 2013;167(8):759–68.

    Article  PubMed  Google Scholar 

  21. Kwon J, Yoshida Y, Yoshida H, Kim H, Suzuki T, Lee Y. Effects of a Combined Physical Training and Nutrition Intervention on Physical Performance and Health-Related Quality of Life in Prefrail Older Women Living in the Community: A Randomized Controlled Trial. J Am Med Dir Assoc. 2015;16(3):263.e1–8.

    Article  Google Scholar 

  22. Wang H, Ma J. How to avoid obesity: happy exercise, healthy diet [M]. BeiJing: Peking University Medical Press; 2013.

    Google Scholar 

  23. Yuan DG, Yin MM, Zhang LL, Wang SM. Different types of physical activity among the grade one students in Shanghai. Chin J Sch Health. 2012;33(3):290–2.

    Google Scholar 

  24. Cheng X. Quality of life and its influencing factor on children in early pubertal timing in Chongqing (In Chinese): Chongqing Medical University; 2017.$9A4hF_YAuvQ5obgVAqNKPCYcEjKensW4IQMovwHtwkF4VYPoHbKxJw!!&v=MTc1NTRxVHJXTTFGckNVUjdxZlllUnFGQ2poV3JyT1ZGMjZHYnU4R3RUTXFwRWJQSVI4ZVgxTHV4WVM3RGgxVDM=.

  25. The WHOQOL Group. The World Health Organization quality of life assessment (WHOQOL): position paper from the World Health Organization. Soc Sci Med. 1995;41(10):1403–9.

    Article  Google Scholar 

  26. Ikeda E, Hinckson E, Krägeloh C. Assessment of quality of life in children and 287 youth with autism spectrum disorder: a critical review. Qual Life Res. 2014 May;23(4):1069–85.

    Article  PubMed  Google Scholar 

  27. Shrivastava SR, Shrivastava PS, Ramasamy J. Childhood and adolescence: challenges in mental health. J Can Acad Child Adolesc Psychiatry. 2013;22(2):84–5 PMCID:PMC3647622.

    PubMed  PubMed Central  Google Scholar 

  28. Buttitta M, Iliescu C, Rousseau A, Guerrien A. Quality of life in overweight and obese children and adolescents:a literature review. Qual Life Res. 2014;23(4):1117–39.

    Article  PubMed  Google Scholar 

  29. Conley CS, Rudolph KD, Bryant FB. Explaining the longitudinal association between puberty and depression: sex differences in the mediating effects of peer stress. Dev Psychopathol. 2012;24(2):691–701.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Kovacs E, Piko BF, Keresztes N. The interacting role of physical activity and diet control in Hungarian adolescents' substance use and psychological health. Subst Use Misuse. 2014;49(10):1278–86.

    Article  PubMed  Google Scholar 

  31. Warkentin LM, Das D, Majumdar SR, Johnson JA, Padwal RS. The effect of weight loss on health-related quality of life: systematic review and meta-analysis of randomized trials. Obes Rev. 2014;15(3):169–82.

    Article  CAS  PubMed  Google Scholar 

  32. Song HR, Park HS, Yun KE, Cho SH, Choi EY, Lee SY, Kim JH, Sung HN, Kim JH, Choi SI, Yoon YS, Lee ES, Han JH, Shin CI, Chang HM, Bae SC. Gender and age differences in the impact of overweight on obesity-related quality of life among Korean adults. Obes Res Clin Pract. 2010;4(1):e1–e82.

    Article  CAS  PubMed  Google Scholar 

  33. Parfitt G, Pavey T, Rowlands AV. Children's physical activity and psychological health: the relevance of intensity. Acta Paediatr. 2009;98(6):1037–43.

    Article  PubMed  Google Scholar 

  34. Schmalz DL, Deane GD, Birch LL, Davison KK. A longitudinal assessment of the links between physical activity and self-esteem in early adolescent non-hispanic females. J Adolesc Health. 2007;41(6):559–65.

    Article  PubMed  PubMed Central  Google Scholar 

  35. He F, Guan PY, Liu Q, Crabtree D, Peng LL, Wang H. The relationship between obesity and body compositions with respect to the timing of puberty in Chongqing adolescents: a cross-sectional study. BMC Public Health. 2017;17(1):1–7.

    Article  Google Scholar 

  36. Buyken AE, Karaolis-Danckert N, Remer T. Association of prepubertal body composition in healthy girls and boys with the timing of early and late pubertal markers. Am J Clin Nutr. 2009;89(1):221–30.

    Article  CAS  PubMed  Google Scholar 

  37. Jepsen R, Aadland E, Robertson L, Kolotkin RL, Andersen JR, Natvig GK. Physical activity and quality of life in severely obese adults during a two-year lifestyle intervention programme. J Obes. 2015;2015:314194.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Danielsen KK, Sundgot-Borgen J, Mæhlum S, Svendsen M. Beyond weight reduction: improvements in quality of life after an intensive lifestyle intervention in subjects with severe obesity. Ann Med. 2014;46(5):273–82.

    Article  PubMed  Google Scholar 

  39. Uritani D, Matsumoto D, Asano Y, Yoshizaki K, Nishida Y, Shima M. Effects of regular exercise and nutritional guidance on body composition, blood pressure, muscle strength and health-related quality of life in community-dwelling Japanese women. Obes Res Clin Pract. 2013;7(2):e155–63.

    Article  PubMed  Google Scholar 

  40. Cash SW, Duncan GE, Beresford SA, McTiernan A, Patrick DL. Increases in physical activity may affect quality of life differently in men and women: the PACE project. Qual Life Res. 2013;22(9):2381–8.

    Article  PubMed  Google Scholar 

  41. Brown WJ, Mishra G, Lee C, Bauman A. Leisure time physical activity in Australian women: relationship with well being and symptoms. Res Q Exerc Sport. 2000;71(3):206–16.

    Article  CAS  PubMed  Google Scholar 

  42. Brown DW, Balluz LS, Heath GW, Moriarty DG, Ford ES, Giles WH, Mokdad AH. Associations between recommended levels of physical activity and health-related quality of life. Findings from the 2001 behavioral risk factor surveillance system (BRFSS) survey. Prev Med. 2003;37(5):520–8.

    Article  PubMed  Google Scholar 

  43. van Gemert WA, van der Palen J, Monninkhof EM, Rozeboom A, Peters R, Wittink H, Schuit AJ, Peeters PH. Quality of life after diet or exercise-induced weight loss in overweight to obese postmenopausal women: the SHAPE-2 randomised controlled trial. PLoS One. 2015;10(6):e0127520.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  44. Ouyang Y, Wang K, Zhang T, Peng L, Song G, Luo J. The influence of sports participation on body image. Self-Efficacy, and Self-Esteem in College Students. 2020;10:1–9.

    Google Scholar 

  45. Gopinath B, Baur LA, Burlutsky G, Mitchell P. Adiposity adversely influences quality of life among adolescents. J Adolesc Health. 2013;52(5):649–53.

    Article  PubMed  Google Scholar 

Download references


We would like to thank the primary and secondary school health centers in Shapingba District and teachers and leaders of selected schools for their support of data collection. At the same time, I would also like to thank the teachers of the Department of Statistics, Chongqing Medical University for their guidance on data analysis.


The study was supported by Decision-making and Management Project of Shapingba District Science and Technology Commission (jc201603) and Research Special Fund for Public Welfare Industry of Health (No.201202010).

Author information

Authors and Affiliations



Hong Wang: contributed to the conception and design of the study, conducted to interpretation and revised the manuscript. Lianjian Yang and Ting Li: contributed to the questionnaire and data collection. Hua Diao: contributed to design of the study, conducted to data collection, data analysis and interpretation, drafted the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Hong Wang.

Ethics declarations

Competing interest

The authors declare that they have no conflict of interest.

Ethics approval and consent to participate

The study was approved by Biomedical Ethics Committee of Peking University (IRB 00001052–13,034) and the ethical committee of the Chongqing Medical University and written inform consent was obtained from students and their parents before investigation in the research.

Consent for publication

Not applicable.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Diao, H., Wang, H., Yang, L. et al. The impacts of multiple obesity-related interventions on quality of life in children and adolescents: a randomized controlled trial. Health Qual Life Outcomes 18, 213 (2020).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: