Keywords
paediatric/adolescent obesity, functional health, physical mobility, pain, musculoskeletal.
This article is included in the Maternal and Child Health collection.
Childhood and adolescent obesity is a global public health concern. Systematic reviews have linked it to short-term complications 1 during childhood and various long-term health issues in adulthood, including cardiovascular disease, cancer, renal disorders, adult obesity, and type 2 diabetes 2–6 . While evidence suggests musculoskeletal impairment in childhood and adolescence, data on its association with adult joint problems, pain, arthritis, impaired mobility, and physical disability remain limited. To address this gap, a systematic review is needed to examine the relationship between paediatric/adolescent obesity and the risk of impaired physical or functional mobility in adulthood.
The primary objective of this systematic review is to explore whether childhood overweight/obesity is an independent predicator of impaired musculoskeletal health, physical function or mobility in adulthood.
This protocol is reported using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols (PRISMA-P) guidelines. This review will include peer-reviewed observational studies (longitudinal and cohort) published between January 1994 and October 2024. Multiple databases will be searched (MEDLINE, Pubmed, Embase, and CINAHL), using medical subject heading (MeSH) terms and relevant keywords. Study screening (title, abstract, full text) will be carried out independently by two researchers. The Risk of Bias in Non-Randomized Studies of Exposure (ROBINS-E) tool will be used to assess included studies, while the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) framework will evaluate evidence quality. Meta-analysis will be conducted. Statistical analyses will be performed using Stata 17.
This systematic review will be completed by June 2025. Literature searches was conducted following registration of the review in PROSPERO (CRD42024627371).
Results will build understanding regarding childhood factors that should be addressed in order to minimise impaired musculoskeletal health, physical function or mobility in adulthood.
paediatric/adolescent obesity, functional health, physical mobility, pain, musculoskeletal.
Childhood and adolescent overweight and obesity represent a significant global health concern. Prevalence estimates are variable across different countries and regions, typically indicating an upward trend over the past four decades7–10. The global prevalence of childhood obesity was 5% in 2015, affecting almost 108 million children11. The Global Atlas on Childhood Obesity observed a 1.5-fold increase in obesity prevalence between 2012 and 2023 compared to the period from 2000 to 201112. It has also been reported that the increasing trend in childhood and adolescent obesity has yet to stabilise13. Projections estimate that 158 million individuals aged 5 to 19 years of age would be affected by obesity in 2020, increasing to 254 million by 203012.
Furthermore, when examined by geographical region, the occurrence of obesity among children and adolescents was highest in Polynesia (19%), followed by the Caribbean (19%), North America (17%), Central America (16%), and Western Asia (10%). In Europe, the incidence of childhood and adolescent obesity was greatest in Southern Europe (8%), followed by Eastern Europe (5%), Northern Europe (5%), and Western Europe (4%)14. The literature indicates an inverse relationship between socioeconomic status and childhood obesity, with higher obesity prevalence (age range 5–19 years) among boys (8%) compared to girls (6%) in upper-middle and high-income countries15–17. The growing burden of childhood obesity has resulted in escalating costs for individuals, society and national exchequers18.
Obesity arises from a complex interplay of biological, genetic, behavioural, and environmental factors, with sub-optimal nutrition and sedentary lifestyle as key contributors19–21. Evidence suggests that low parental education levels, lower household income, limited participation in the labour market, and poor family conditions contribute to sub-optimal nutrition and fewer opportunities for play and physical activity among children and adolescents, which can influence the development of obesity22–24. Childhood obesity can lead to both short and long-term health complications such as hypertension, cavities and periodontal disease, reduced physical function, asthma, sleep apnoea, impaired glucose tolerance, metabolic dysfunction and constipation1. Furthermore, it has been demonstrated that childhood overweight/obesity frequently persist into adulthood25, Obesity, being a disease in its own right, presents significant management challenges, particularly when it coexists with other conditions, such as psychological disorders, neurological disability, or inflammatory disease26. Observed adverse outcomes in adulthood as a result of childhood overweight/obesity include an elevated risk and earlier onset of chronic diseases such as CVD, obesity in adults, Type 2 diabetes, anxiety, depression, physical or functional impairments, renal disorders, and certain cancers3–6,25,27–31.
A systematic review on obesity tracking across the lifespan reported that approximately 55% of children with obesity have obesity in adolescence. In addition, 80% of adolescents with obesity continue to live with obesity into adulthood, and nearly 70% live with obesity beyond age 305. Several systematic reviews indicated that childhood obesity is an independent risk factor for hypertension, dyslipidaemia, carotid artery atherosclerosis, insulin resistance, metabolic syndrome, premature mortality, and cardiovascular disease (CVD) in adulthood6,32–35. In addition, a systematic review published in 2017 reported a significant positive association between childhood obesity and adult systolic blood pressure, diastolic blood pressure, and triglyceride levels, along with a significant inverse association with adult high-density lipoprotein (HDL) cholesterol. Furthermore, these associations were reversed in studies that adjusted for adult body mass index (BMI), suggesting that adult BMI may act as a mediator of CVD2.
Gallagher et al.,28 reported that increasing adiposity from childhood to adulthood is linked to a heightened risk of depression, particularly among women. Another recent review found that children with an average increase in BMI (OR = 2.24) and those with persistently elevated BMI (OR = 2.64) had higher odds of experiencing depression in middle-age compared to individuals with a consistently average BMI trajectory29. In essence, those with a persistently high BMI from childhood through mid-adulthood, as well as those whose BMI rose from average levels in childhood to higher levels in adulthood, were at greater risk of depression in middle-age. Encouragingly, improving childhood adiposity profile by adulthood was linked to a reduction in anxiety symptoms29.
Additionally, a 2023 systematic review and meta-analysis3 found that childhood obesity raised the risk of cancer incidence and mortality in adulthood by 33% and 28%, respectively. Subgroup analysis by sex revealed higher hazard ratios in males compared to females (HRs) for cancer incidence (20% vs. 39%) and mortality (20% vs. 40%)3.
Moreover, a systematic review by Pourghazi, Farzad, and colleagues identified a significant positive association between elevated BMI in early life and an increased risk of renal disease later in life4. In summary, there is strong evidence that childhood obesity is associated with increased risk of chronic disease and mental health difficulties later in life. However, there is a dearth of data regarding the relationship between childhood obesity and musculoskeletal health and physical function in adulthood.
Functional movement refers to body movements characterised by proper joint and muscle function and efficient movement patterns, which reduce injury risk36,37, and is considered a foundation for more complex forms of movement38. Assessments of functional movement typically measure postural control, stability, flexibility, neuromuscular coordination, and balance36,37,39. These components not only support complex efficient movement but are also linked to key health indicators and activities of daily living (e.g. falls, sitting and standing, functional independence etc.)40–43. To reduce disability, enhance quality of life, and mitigate social and economic consequences, it is essential that musculoskeletal health is prioritised and addressed44. Children with obesity were found to have a higher incidence of fractures, lower extremity malalignment and musculoskeletal pain compared to their normal-weight peers45. Additionally, Thivel, et al.46 report that children and adolescents with obesity exhibit reduced muscular fitness and strength compared to their healthy weight peers, primarily due to extreme body weight and bodily inertia. Additionally, a 2022 systematic review by O’Brien, Wesley, et al.,47 identified a negative association between childhood obesity and functional mobility in children and adolescents. Regarding the risk of adult mobility impairment, a review by Yuan, and colleagues48 revealed that obesity in adulthood is linked to an elevated risk of frailty (functional mobility impairment) in community-dwelling older adults. A 2012 study by Wills, et al.,49 reported a strong positive association between obesity and musculoskeletal conditions, particularly osteoarthritis (OA) and in 2015, Antony et al.,30 reported a significant positive association between childhood overweight and adult knee joint pain, stiffness and dysfunction in adult males (even when no longer living with overweight). This suggests that childhood overweight/obesity may contribute to knee abnormalities later in life and is supported by work exploring the impact of obesity on lower limb biomechanics and development50. Additionally, in 2018, Meng et al., found that childhood adiposity results in ongoing patellar stress and structural anomalies in adults, indicating lasting consequences of excess weight during early life on knee development and health31. Given that the musculoskeletal system and biomechanic alignment of the lower limbs develops and matures during childhood and adolescence it is important to consider and address factors that might influence sub-optimal musculoskeletal development impacting adult musculoskeletal health, fitness and function. Therefore, following clinical guidelines by monitoring obesity development and providing access to early intervention during childhood is essential for longer-term health outcomes51,52.
The literature indicates that childhood and adolescent obesity contribute to various health complications in children, adolescents, young adults, and older adults. While reviews have explored the link between childhood obesity and adult cardio-metabolic complications, a significant gap remains in understanding the impact of childhood overweight/obesity on adult musculoskeletal health, physical function or mobility. Specifically, it is unclear whether childhood obesity directly affects musculoskeletal health and/or physical mobility in adulthood, whether there is an association between the two, and if so, whether factors like age at obesity onset, stage of obesity, type of obesity, access to treatment, type of treatment received or sociodemographics are important factors to consider. To enhance the evidence base, we will undertake a systematic review and meta-analysis to determine whether childhood overweight/obesity is associated with musculoskeletal health, physical function or mobility in adulthood. This review will focus on determining whether childhood overweight/obesity constitutes an independent predicator of impaired musculoskeletal health, physical function or mobility in adulthood.
Population: The population will include male and female children aged 2–9 years, adolescents aged 10–18 years, and adults over 18 years, where BMI has been measured in childhood or adolescence (<18 years). Studies reporting age ranges with maturity subgroups (e.g., Tanner stage) will also be included. Children under 2 years of age, those in state care, and those with chronic physical disabilities will be excluded.
Exposure: The exposure to be examined will be childhood obesity. Obesity will be defined using standard measures such as body mass index (BMI,) BMI centile, BMI standardised deviation score and studies must report a cut-off for obesity based on local growth charts or those of WHO53, IOTF54, or CDC55. Studies of obesity treatment will also be included.
Comparator: A comparison group of children without obesity or with a healthy or low BMI will serve as the comparators in the primary studies.
Outcomes: Health outcomes will focus on the presence of musculoskeletal complications and functional mobility in adulthood, and studies should use validated outcome measures to assess these domains. Examples of musculoskeletal complications include pain, balance impairment or joint stiffness. Functional mobility is defined by the ICF (International Classification of Functioning, Disability and Health) of the WHO as the ability to move from one position or location to another56. Examples of functional mobility include independent walking ability, sit-to-stand ability, using stairs and getting up from the floor.
A systematic review and meta-analysis of the current literature will be conducted. This protocol follows the PRISMA-P guidelines57 (see supplemental file 1).
The review will encompass studies published from January 1994 to October 2024, and will include English language full-text articles published in peer-reviewed journals. Eligible study designs will include longitudinal and cohort studies, including case-cohort studies. Studies reporting on children's overweight and obesity status, as well as registry studies (retrospective in nature), will also be considered. While studies in languages other than English (LOE) will be excluded, we will document and report the number of studies published in LOE’s. Studies of adults over the age of 18 years who developed musculoskeletal health or functional mobility difficulties will be included.
Information sources
Multiple databases will be searched (MEDLINE, Embase, PubMed, and CINAHL), utilising medical subject headings and keywords. Additionally, the reference lists of included studies and any pertinent reviews will be manually searched. Literature searches was conducted following registration of the review in PROSPERO (CRD42024627371).
A comprehensive search strategy will be developed with a research librarian with expertise in systematic reviews (supplemental file 2). The search strategy will encompass literature published from January 1994 to October 2024. Examples of keywords used in the strategy include Pediatrics, Pediatric Obesity, Child, children, Childhood, Obesity, Body Mass Index, BMI, body mass index, adipose, adiposity, Balance, Functional Independence Measure, Falls Efficacy Scale Activity-Specific Balance Confidence, Sit-to-Stand Test, Functional Gait Assessment, Dynamic Gait Index, Functional impairment, timed up and go test, short physical performance battery test as shown in Table 1. Forward searches will also be conducted on included studies. Searches will be rerun prior to the final analysis of the review to identify and include relevant newly published studies.
Study selection
One reviewer will conduct searches. To determine the eligibility of studies, two reviewers will independently screen the titles, abstracts, and full texts. Reviewers will apply the inclusion and exclusion criteria to identified studies, and any disagreements will be discussed and resolved through consensus. If consensus cannot be reached, a third reviewer will deliberate. In instances where clarity is needed or the full-text publication lacks sufficient information, the study authors will be contacted for the required information. A PRISMA flow chart will be used to document the number of studies included and excluded, and reasons for their exclusion.
Data extraction
Two reviewers will extract data on the predetermined outcomes from the final included studies. A standardised data extraction template will be designed to extract relevant data. The web-based software platform Covidence (covidence.org) will be used to streamline the management of the systematic review (i.e. screening, full text review, data extraction and quality assessment). The data abstraction template will be structured to capture key study data. Study information will include the year of publication, author’s names, sources of funding, citation and any conflicts of interest. Additionally, demographic data will be extracted, including characteristics of the sample such as age, sex, target population, ethnicity, parent’s characteristics, employment, education, or relevant life-style factors (such as smoking alcohol consumption and physical exercise). Study characteristics will include geographic location, study design, study dates, inclusion and exclusion criteria, as well as the statistical analysis used. Exposure data will focus on childhood overweight/obesity, including the criteria or tools used to define obesity in children as well as the use of validated outcome measures used to assess participant’s health outcomes. The outcome section will detail the criteria or tools used to measure participant health outcomes. Furthermore, information on data collection methods and adjustment of co-variates in the final analysis will be included.
Data management
Identified studies will be imported into Covidence software58, where duplicates will be removed before screening. An Open Science Framework (OSF) repository will be created to make the protocol, search strategy and review data publicly available.
The ROBINS-E tool will be employed to assess observational studies, which are anticipated to comprise the majority of the evidence59. This tool evaluates seven bias domains: confounding, exposure measurement, participant selection, post-exposure interventions, missing data, outcome measurement, and selection of reported results. Each domain will be assessed using signalling questions rated as ‘yes’, ‘probably yes’, ‘probably no’, ‘no’, and ‘no information’, with the overall risk of bias classified as low, some concerns, high, or very high. The findings will be presented for each included study and summarised across domains to facilitate interpretation.
The quality of evidence will be evaluated using the GRADE framework60. This approach assesses across five domains: imprecision, inconsistency, risk of bias, publication bias and indirectness. It also allows for increased certainty based on significant effect sizes, dose-response relationships, and potential residual confounding. Evidence quality will be classified as high, moderate, low, or very low, and summarised in a table, with assessments carried out independently by two reviewers. Furthermore, the Credibility of Effect Modification Analyses tool will be utilised to assess the reliability of subgroup analysis results61; if credible, a distinct GRADE evaluation will be performed for each subgroup62.
For each included article, individual details, methodologies, and outcomes will be summarised in descriptive tables to report study characteristics. A standardised coding system will be used to capture essential elements. A separate meta-analysis will be conducted for each outcome, contingent on having at least two studies with comparable exposure and outcome variables; otherwise, a narrative summary will be provided. A random effects model, following DerSimonian and Laird method, will be utilised to manage anticipated heterogeneity63. Sensitivity analyses will adopt the Hartung method and Knapp, treating each study as a random effect to address variation64,65. Heterogeneity will be evaluated using I² statistic and Cochran’s Q test66,67, categorised as low (0-percnet–40-percent), moderate (30-percent–60-percent), substantial (50-percent–90-percent), or considerable (75-percent–100-percent)61. Publication bias will be assessed via Egger's test and funnel plots68; if asymmetry is detected, potential biases will be examined, and sensitivity analyses performed. Meta-analysis results will be illustrated using forest plots. All statistical analyses will be conducted with Stata®17 (Copyright 1985–2017, StataCorp LP).
This systematic review is expected to be finalised by the end of June 2025. The results of this review will be organised into several subsections: Study selection (reported with PRISMA flowchart) and characteristics (synthesized and reported with tabular data), 2) study results and outcomes (including correlations between childhood obesity and functional and physical mobility in adulthood, and unadjusted and adjusted risk associated with childhood overweight/obesity and with impaired musculoskeletal health, physical function or mobility in adulthood.
This systematic review will investigate the link between childhood overweight/obesity and musculoskeletal health, physical function health in adults, identifying factors contributing to their impact on adult mobility. This will guide targeted interventions and preventive measures, focusing on childhood factors and treatments to support long-term adult mobility and musculoskeletal health. This will provide an evidence base upon which early interventions can be developed to Maximise adult physical health and function.
Ethical approval and consent were not required for this protocol.
Open Science Framework: PRISMA P checklist is upload for this project (Childhood obesity as a predicator of adult physical/functional mobility: A protocol for systematic review and meta-analysis). DOI 10.17605/OSF.IO/CKXT469.
Data are available under the terms of the Creative Commons Zero "No rights reserved" data waiver (CC0 1.0 Public domain dedication)(http://creativecommons.org/publicdomain/zero/1.0/).
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