Effectiveness of self-managed home and community exercise interventions in improving physical activity, body adiposity and related health indices in adults living with HIV: a protocol for a systematic review
Systematic Reviews volume 11, Article number: 37 (2022)
Background and objectives
Disorders of adipose tissue distribution in people living with the human immunodeficiency virus (HIV) have been associated with significant metabolic derangements that increase their risk of cardiometabolic and other chronic diseases. Systematic reviews focusing on supervised laboratory-based exercise interventions demonstrate that these interventions improve adipose tissue distribution and related health outcomes in people living with HIV (PLWH). However, there is a need to examine the effectiveness of more pragmatic home or community exercise programmes. The aim of this review will be to synthesize existing evidence on the effectiveness of self-managed home or community exercise interventions to improve physical activity levels, adipose tissue distribution and associated health indices in PLWH.
This review will encompass interventional studies that evaluate the effect of prescribed exercise programmes performed in the home or community with minimal supervision, by adults living with HIV. The following will be searched from inception: PubMed, Embase, Scopus, Cumulative Index to Nursing and Allied Health Literature, Physiotherapy Evidence Database, SPORTDiscus, Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews and Clinicaltrials.gov. Screening of studies and data extraction will be conducted by two independent reviewers. The risk of bias in included studies will be assessed using version 2 of the Cochrane risk-of-bias tool for randomized trials (RoB 2) and the Risk of Bias In Non-Randomized Studies-of Interventions (ROBINS-I) tool for non-randomized concurrently controlled and single-arm interventional studies. A random effects meta-analysis will be used to pool effect estimates for outcomes of interest (measures of physical activity and body adiposity). However, if pooling is deemed inappropriate due to substantial differences between studies, a narrative synthesis will be performed. This protocol is written according to the Preferred Reporting Items for Systematic reviews and Meta-analysis Protocols 2015 statement (see Additional file 1).
This review shall provide evidence to support or disapprove the prescription of self-managed exercise interventions in a particularly vulnerable population. We will equally explore the potential impact of technology in improving physical activity outcomes. Our findings could help guide clinicians involved in the care of PLWH in prescribing exercise and inform the design of future trials and research.
Systematic review registration
Disorders of adipose tissue distribution in people living with HIV (PLWH) have garnered fresh interest in recent times. In the pre-antiretroviral therapy (pre-ART) era, it was characterized by HIV wasting , which was replaced by lipoatrophy in the early combination ART years associated with the first generation of thymidine analogue drugs such as zidovudine and stavudine [1, 2], as well as early protein inhibitors [1, 3]. However, interest waned as newer generations of antiretrovirals with improved profiles were introduced [1, 4]. In the last decade, the addition of a new class of antiretrovirals which has both improved survival  (hence increased the burden of age-related metabolic disorders in PLWH) and appears to induce weight gain [6, 7] has brought adipose tissue redistribution back to the forefront of HIV research.
Inflammatory and immune pathways (which persist even in the virally suppressed) accentuated by antiretroviral-induced cytokine dysregulation are believed to provoke the expansion of metabolically active adipose deposits and adipose redistribution [8,9,10]. The consequences of which include overweight/obesity , insulin resistance , dyslipidaemias , atherogenesis [12, 13] and oncogenesis . Importantly, these HIV-related factors are aggravated by various lifestyle factors which are significantly more prevalent in the HIV population such as alcohol and substance abuse disorders, smoking, hepatitis B and hepatitis C [15, 16], hence the increased risk of strokes, myocardial infarctions, diabetes mellitus and certain cancers in PLWH [15, 17, 18]. Therefore, strategies that address adiposity disorders and their associated cardiometabolic risk could help mitigate the burden of varied comorbidities in PLWH as they age.
Physical activity reduces inflammation in chronic HIV and is considered a cornerstone in the management of HIV-associated cardiometabolic derangements [8, 19]. Various centre-based/laboratory-based clinical trials have demonstrated that exercise programmes incorporating aerobic and strength training are safe [20,21,22] and efficacious [20, 23, 24] in correcting adiposity derangements and dyslipidaemias in PLWH. In addition to these benefits, aerobic exercise for PLWH equally improves cardiorespiratory function and quality of life [20, 24], while resistance exercise improves muscle strength [21, 25], immune function  and muscle mass .
However, the transferability of these benefits to everyday settings remains a challenge. Studies on exercise interventions in PLWH record dropout rates as high as 29% . While professional supervision appears to reduce dropout , exercising with an exercise physiologist, sports therapist, physiotherapist or other professionals in an exercise facility is resource intensive. This raises issues of accessibility and long-term sustainability in a population that already faces more frequent hospital visits and higher health care costs . There is therefore the need to assess other exercise options.
Some reviews demonstrate the benefits of home exercise programmes as a viable alternative to centre-based exercise in other chronic conditions [28, 29]. Roos and colleagues found that a home exercise walking programme without supervision reduced waist-to-hip ratio and ischaemic heart disease risk in PLWH . On the other hand, Bonato and colleagues reported significant reductions in fat mass of home exercises only if supported with a mobile application . It is possible that self-managed exercise at home or in the local community with or without (mobile/computer) technology support could prove useful in managing PLWH. To date, no study has synthesized the evidence on home and community-based exercise interventions in PLWH.
Therefore, the aim of this review is to systematically synthesize all available evidence on the effectiveness of home and community exercise interventions with minimal to no supervision on physical activity levels, indices of adiposity and related health status indices in people living with HIV. We equally wish to elucidate the impact of technology support on the efficacy of such programmes.
To assess the effects of home and community exercise for physical activity levels, indices of adiposity and related health status indices in adults people living with HIV.
(Primary) To determine the efficacy of home and community exercise programmes in improving physical activity levels in adults living with HIV
(Primary) To determine the efficacy of home and community exercise programmes in improving indices of adiposity in adults living with HIV
(Secondary) To determine the efficacy of home and community exercise programmes in improving health status (physical performance, cardiometabolic outcomes and overall wellbeing) in adults living with HIV
(Secondary) To ascertain the impact of technology-assisted remote support (that is through phone, computer or other smart devices) on physical activity levels following home and community exercise programmes in adults living with HIV
Population of interest
HIV-positive male or female adults, 18 years and older, at all stages of infection (CD4, viral loads), with or without comorbidities in any part of the world.
Prescribed exercise performed at home or in the community of at least 4-week duration, with minimal or no supervision. The programme must include either an aerobic component or a resistance component.
We will consider “prescribed exercise” to be a structured physical activity plan made available to participants with specified type, intensity and volume, accompanied by some form of monitoring (such as an exercise diary).
“Community” will refer to local public and outdoor spaces that are freely accessible, such as parks and public recreational facilities (see Table 1).
We will exclude studies of interventions in a detention or prison facility.
“Minimal supervision” will be regarded as professional input (in-person or virtual) in the form of instruction during exercise sessions for less than half the total duration of exercise time. Remote observation through physical activity monitors or exercise logbooks will not be considered supervision. Professional support restricted to safety or compliance checks, reminders, counselling or motivation will also not be considered supervision.
Aerobic exercise will be defined as any physical activity performed with the aim of strengthening the heart and lungs that results in increased breath and heart rates. This will include (but not limited to) jogging, running, walking, swimming, stair climbing, stepping, rowing, jump rope, dancing and cycling.
Resistance exercise will be defined as any physical activity performed with the aim of strengthening muscle, utilizing muscle contractions against resistance aided by weights (free weights, weight stations amongst others) or unaided (resistance provided by body’s own weight).
We will compare home/community exercise outcomes to “before exercise” in single-group design or to control arms with no exposure/intervention, standard care, other types of exercise programmes such as centre-based exercise (see Table 1) or other therapeutic modalities.
Our primary outcomes shall include the following measures (the classification of adiposity measures was adapted from previous work ):
Total body adiposity
Total fat mass
Percent body fat
Body mass index ((BMI = body weight in kilogrammes/(height in metres)2)
Fat mass index ((FMI = total fat mass in kilogrammes/(height in metres)2) 
Body adiposity index (BAI = ((hip circumference in centimetres)/((height in metres)1.5)–18)) 
Body adipose tissue distribution
Waist-to-hip ratio (WHR)
Supine sagittal abdominal diameter (abdominal anteroposterior diameter in a supine person measured directly or by imaging) 
Skinfold thickness measurements
Visceral adipose tissue (VAT) volumes/mass
Regional fat percentages
Subcutaneous fat volumes/mass
Physical activity levels (self-report or device measured)
In this study, weight will not be considered a primary outcome measure of adiposity because of its well-recognized inability to account for body build and its susceptibility to changes in lean mass .
In addition to the above primary outcomes, the following will be evaluated:
Muscle/lean mass and strength
Metabolic parameters (fasting glucose, lipids)
Overall health status and wellbeing
Changes in weight
Virologic outcomes (viral load, CD4+ T cells)
Quality of life measures
Psychological health measures
Adverse events related to exercise
Adherence to exercise programme
Randomized controlled trials, non-randomized controlled trials and uncontrolled single-arm (pre-post) interventional studies will be included. This choice was made after pre-review scoping of the literature revealed a scarcity of comparative studies and more so randomized controlled trials addressing these questions. However, we chose to avoid observational studies to improve the strength of our causal conclusions.
We will search general databases (PubMed, Embase and Scopus) and databases specific to allied health (Cumulative Index to Nursing and Allied Health Literature (CINAHL), Physiotherapy Evidence Database (PEDro) and SPORTDiscus) as well as Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews and Clinicaltrials.gov registry.
Databases will be searched from inception up to the current date for peer-reviewed articles. Reference lists of the included studies and relevant systematic reviews will be manually searched to identify any relevant articles. In addition, forward citation searching of included studies will be undertaken in Google Scholar and Scopus.
When full texts are unavailable or in the case of missing relevant data, the authors will be approached via email to obtain this information. No language restrictions shall be applied to our search. The services of a professional translator will be sought for articles that are not available in the English language.
Search strategy and study selection
The search strategy was designed by review authors in consultation with a professional librarian and pretested prior to the formal search. Key terms pertaining to “exercise”, “HIV”, “adults” and “interventional study” were included; see details in Table 2. Outcomes were not included in the search strategy to improve the search’s reach. Records retrieved will be exported to and managed in the EndNote referencing software. After elimination of duplicates, screening will be performed by one reviewer and a fraction of the records repeated independently by a second. Studies with irrelevant titles will be excluded. Abstracts of the remaining studies will then be examined using a pre-established inclusion checklist. Where additional information is required to determine eligibility, the reviewers will contact the authors concerned via email. Where there are several publications of the same study (such as a protocol paper cited in the principal article), the publications will be collated and considered together. When abstracts are deemed relevant or where eligibility is unclear, full texts will be obtained. Full texts will be assessed independently by two review authors in the same manner as the initial screen. Any disagreements will be resolved through consensus or by the decision of a third independent reviewer.
Data extraction and management
A pre-piloted data extraction form developed in Microsoft Excel by the authors will be used to extract information (see form attached (Additional file 2)). The data extraction form will be pretested and calibrated by a group of two reviewers, to promote agreement and reduce the risk of subjective misclassification. Study characteristics and outcome measures will then be extracted by one reviewer and randomly cross-checked by a second. Disputes between the two extractors will be resolved by consensus or the decision of a third reviewer. We will attempt to obtain missing information from supplementary files if available (such as public data repositories) or contact the authors via email.
Study characteristics extracted will include study date, study aim/objectives, setting of the study, description of participants and study design including recruitment procedure. Details of the home/community exercise intervention and the outcomes of interest including adherence will equally be extracted. In addition, the details of the descriptions of comparators for all studies will be extracted (Additional file 2). These general characteristics will be summarized and presented in a table in the results.
Two reviewers will independently assess the quality of included studies. Disputes between the two assessors will be resolved by consensus or the decision of a third assessor. Comprehensive reporting and risk of bias in individual studies will be assessed using version 2 of the Cochrane risk-of-bias tool for randomized trials (RoB 2)  and the Risk of Bias In Non-Randomized Studies-of Interventions (ROBINS-I) tool for non-randomized concurrently controlled and single-arm interventional studies . The RoB 2 tool assesses bias across 5 domains which are randomization, deviations from the intended intervention, missing outcome data, measurement of the outcome and selection of the reported results. Through well-described algorithms , the reviewer is guided to make a judgement for each domain, as well as an overall risk-of-bias judgement, assigning low risk of bias, some concerns or high risk of bias. The ROBINS-I tool for non-randomized studies of interventional studies is a multiple-domain tool which covers confounding, selection of participants, information bias, deviations from the intended intervention, missing data, outcome measurement and selection of the reported results. As with the RoB 2 tool, through established algorithms , the reviewer is guided to make a judgement for each domain, assigning low risk of bias, moderate risk, serious risk, critical risk or no information , as well as an overall risk-of-bias judgement, assigning low risk of bias, moderate risk, serious risk or critical risk.
Assessments will be performed for each of the primary outcomes evaluated in the study separately. We will perform an overall assessment of risk per outcome and per study and summarize in a risk of bias table.
Data analysis, assessment of heterogeneity and publication bias
Exercise volume will be translated to metabolic equivalent (MET) hours per week based on standard definitions in the compendium of physical activities , to ease comparison across studies. In studies with multiple intervention groups, we shall report outcomes for all groups relative to the outcome in the minimally supervised home exercise group. Where a study reports outcome at multiple time points, we will consider the timepoints that immediately precedes and the timepoint that immediately follows the intervention in our analysis.
Continuous outcome measures will be reported as mean difference (final minus baseline) or standardized mean differences where there are different scales for the same outcome. In the event where authors report medians and interquartile ranges, we will use this to compute corresponding means and standard deviations as described in previous literature . Where possible, missing outcomes will be computed from other reported statistics such as percentage body fat from skinfold thickness using validated formulae .
Where there are at least two studies with common or similar primary outcome measures (reported or computed) and study design, we will undertake a quantitative synthesis. We will use Comprehensive Meta-Analysis Software (CMA) software, to pool mean differences for each primary outcome variable using inverse variance weighting (or if different scales for the same outcome, standardized mean effect sizes). We will perform separate pooling of effect sizes for randomized studies, non-randomized multiple group studies and single-arm studies. We anticipate some heterogeneity in participant characteristics, study quality, sample sizes, and type and volume of exercise; hence, we will assume and conduct a random effects meta-analysis. Where possible, the intervention effects adjusted for the highest number of confounding factors will be used in the synthesis of non-randomized studies. Non-randomized studies assessed to be at critical risk of bias will be excluded from quantitative synthesis. The Cochran’s Q test will be used to assess for heterogeneity and the I2 statistic to quantify it. I2 of 0–30% will be considered minimal, 30–55% moderate, 55–75% substantial heterogeneity and 75–100% considerable heterogeneity .
Sensitivity analysis will be carried out to restrict the analysis to studies with low risk of bias, studies without co-interventions and studies that performed comparisons with “no exercise” and to assess the impact of these on the effect sizes.
We will perform subgroup analysis (or a narrative synthesis if scarce studies) to compare the effect size for primary outcomes across studies with “minimal supervision” versus “no supervision” and “technology-assisted delivery” versus “no technology” as well as by type and intensity of exercise. We hypothesize that interventions with some professional contact and those with technological assistance will perform better than interventions where these features are absent.
Publication bias will be explored using funnel plots [41, 42] and tested using Egger’s  regression test. Where either of these suggests significant bias, we will attempt to correct this using the trim and fill method of Duval and Tweedie  and report both the original and updated random effects estimates after accounting for publication bias.
Our findings will be summarized by considering the five Grading of Recommendations Assessment, Development and Evaluation (GRADE) criteria (study limitations, inconsistency of effect, imprecision, indirectness of evidence and publication bias) as outlined previously  to determine the strength and quality of evidence for each primary outcome.
Secondary outcomes will be synthesized narratively and discussed in relation to changes in the primary outcomes of interest.
Discussion and conclusion
The review will shed light on the effectiveness of self-managed home/community exercise in improving adiposity indices and hence preventing cardiometabolic complications in PLWH. We will equally demonstrate the benefits (if any) of technological assistance in such exercise programmes.
In this proposal, we describe how we will calculate exercise volumes for each study and hence address the variability in exercise prescription. We equally outline the steps we will take to synthesize our outcomes to arrive at meaningful comparisons. Any changes made in the methods we describe here will be documented and reported in a follow-up manuscript with our results.
Considering that a review of this kind is lacking for PLWH, we believe that our methods and eventual findings are filling an important knowledge gap. In addition to publishing our findings in a scientific journal, this work will be included in the thesis of the principal investigator and made available to the public by her institution.
Availability of data and materials
Human immunodeficiency virus
People living with HIV
Prospective Register of Systematic Reviews
Body mass index
Fat mass index
Body adiposity index
Visceral adipose tissue
Cumulative Index to Nursing and Allied Health Literature
Physiotherapy Evidence Database
Effective Practice and Organisation of Care
Comprehensive Meta-Analysis Software
Preferred Reporting Items for Systematic reviews and Meta-analysis Protocols
Grading of Recommendations Assessment, Development and Evaluation
Koethe JR, Lagathu C, Lake JE, Domingo P, Calmy A, Falutz J, et al. HIV and antiretroviral therapy-related fat alterations. Nat Rev Dis Prim. 2020;6(1):48.
Saint-Marc T, Partisani M, Poizot-Martin I, Bruno F, Rouviere O, Lang J-M, et al. A syndrome of peripheral fat wasting (lipodystrophy) in patients receiving long-term nucleoside analogue therapy. AIDS. 1999;13(13):1659–67.
Carr A. HIV protease inhibitor-related lipodystrophy syndrome. Clin Infect Dis. 2000;30(Supplement_2):S135–S42.
Martin A, Smith DE, Carr A, Ringland C, Amin J, Emery S, et al. Reversibility of lipoatrophy in HIV-infected patients 2 years after switching from a thymidine analogue to abacavir: the MITOX Extension Study. Aids. 2004;18(7):1029–36.
Samji H, Cescon A, Hogg RS, Modur SP, Althoff KN, Buchacz K, et al. Closing the gap: increases in life expectancy among treated HIV-positive individuals in the United States and Canada. PLoS One. 2013;8(12):e81355.
Sax PE, Erlandson KM, Lake JE, Mccomsey GA, Orkin C, Esser S, et al. Weight gain following initiation of antiretroviral therapy: risk factors in randomized comparative clinical trials. Clin Infect Dis. 2019;71(6):1379–89.
Nduka CU, Uthman OA, Kimani PK, Stranges S. Body fat changes in people living with HIV on antiretroviral therapy. AIDS Rev. 2016;18(4):198–211.
Feinstein MJ, Hsue PY, Benjamin LA, Bloomfield GS, Currier JS, Freiberg MS, et al. Characteristics, prevention, and management of cardiovascular disease in people living with HIV: a scientific statement from the American Heart Association. Circulation. 2019;140(2):e98-e124.
Babu H, Ambikan AT, Gabriel EE, Svensson Akusjärvi S, Palaniappan AN, Sundaraj V, et al. Systemic inflammation and the increased risk of inflamm-aging and age-associated diseases in people living with HIV on long term suppressive antiretroviral therapy. Front Immunol. 2019;10:1965. https://doi.org/10.3389/fimmu.2019.01965.
Galli M, Cozzi-Lepri A, Ridolfo AL, Gervasoni C, Ravasio L, Corsico L, et al. Incidence of adipose tissue alterations in first-line antiretroviral therapy: the LipoICoNa Study. Arch Intern Med. 2002;162(22):2621–8.
Erlandson KM, Lake JE. Fat matters: understanding the role of adipose tissue in health in HIV infection. Curr HIV/AIDS Rep. 2016;13(1):20–30.
Lake JE, Wohl D, Scherzer R, Grunfeld C, Tien PC, Sidney S, et al. Regional fat deposition and cardiovascular risk in HIV infection: the FRAM study. AIDS Care. 2011;23(8):929–38.
Hsu DC, Ma YF, Hur S, Li D, Rupert A, Scherzer R, et al. Plasma IL-6 levels are independently associated with atherosclerosis and mortality in HIV-infected individuals on suppressive ART. AIDS (London, England). 2016;30(13):2065–74.
Borges ÁH, Silverberg MJ, Wentworth D, Grulich AE, Fätkenheuer G, Mitsuyasu R, et al. Predicting risk of cancer during HIV infection: the role of inflammatory and coagulation biomarkers. AIDS (London, England). 2013;27(9):1433–41.
Pourcher V, Gourmelen J, Bureau I, Bouee S. Comorbidities in people living with HIV: an epidemiologic and economic analysis using a claims database in France. PLoS One. 2020;15(12):e0243529.
Mdege NDD, Shah SM, Ayo-Yusuf OAP, Hakim JP, Siddiqi KP. Tobacco use among people living with HIV: analysis of data from Demographic and Health Surveys from 28 low-income and middle-income countries. Lancet Glob Health. 2017;5(6):e578–e92.
Brown TT, Cole SR, Li X, Kingsley LA, Palella FJ, Riddler SA, et al. Antiretroviral therapy and the prevalence and incidence of diabetes mellitus in the multicenter AIDS cohort study. Arch Intern Med. 2005;165(10):1179–84.
Quiros-Roldan E, Raffetti E, Focà E, Brianese N, Ferraresi A, Paraninfo G, et al. Incidence of cardiovascular events in HIV-positive patients compared to general population over the last decade: a population-based study from 2000 to 2012. AIDS Care. 2016;28(12):1551–8.
d'Ettorre G, Ceccarelli G, Giustini N, Mastroianni CM, Silvestri G, Vullo V. Taming HIV-related inflammation with physical activity: a matter of timing. AIDS Res Hum Retrovir. 2014;30(10):936–44.
O'Brien KK, Tynan A-M, Nixon SA, Glazier RH. Effectiveness of aerobic exercise for adults living with HIV: systematic review and meta-analysis using the Cochrane Collaboration protocol. BMC Infect Dis. 2016;16(1):182.
O’Brien KK, Tynan A-M, Nixon SA, Glazier RH. Effectiveness of Progressive Resistive Exercise (PRE) in the context of HIV: systematic review and meta-analysis using the Cochrane Collaboration protocol. BMC Infect Dis. 2017;17(1):268.
Jankowski CM, Mawhinney S, Wilson MP, Campbell TB, Kohrt WM, Schwartz RS, et al. Body composition changes in response to moderate or high-intensity exercise among older adults with or without HIV infection. J Acquir Immune Defic Syndr. 2020;85(3):340–5.
Quiles NN, Piao L, Ortiz A. The effects of exercise on lipid profile and blood glucose levels in people living with HIV: a systematic review of randomized controlled trials. AIDS Care. 2020;32(7):882–9.
Kamitani E, Sipe TA, Higa DH, Mullins MM, Soares J. Evaluating the effectiveness of physical exercise interventions in persons living with HIV: overview of systematic reviews. AIDS Educ Prev. 2017;29(4):347–63.
Gomes-Neto M, Conceição CS, Carvalho VO, Brites C. A systematic review of the effects of different types of therapeutic exercise on physiologic and functional measurements in patients with HIV/AIDS. Clinics. 2013;68(8):1157–67.
Poton R, Polito M, Farinatti P. Effects of resistance training in HIV-infected patients: a meta-analysis of randomised controlled trials. J Sports Sci. 2017;35(24):2380–9.
Vancampfort D, Mugisha J, Richards J, Hert MD, Lazzarotto AR, Schuch FB, et al. Dropout from physical activity interventions in people living with HIV: a systematic review and meta-analysis. AIDS Care. 2017;29(5):636–43.
Schäfer AGM, Zalpour C, von Piekartz H, Hall TM, Paelke V. The efficacy of electronic health–supported home exercise interventions for patients with osteoarthritis of the knee: systematic review. J Med Internet Res. 2018;20(4):e152.
Li Y, Li Z, Chang G, Wang M, Wu R, Wang S, et al. Effect of structured home-based exercise on walking ability in patients with peripheral arterial disease: a meta-analysis. Ann Vasc Surg. 2015;29(3):597–606.
Roos R, Myezwa H, van Aswegen H, Musenge E. Effects of an education and home-based pedometer walking program on ischemic heart disease risk factors in people infected with HIV: a randomized trial. J Acquir Immune Defic Syndr. 2014;67(3):268–76.
Bonato M, Turrini F, De Zan V, Meloni A, Plebani M, Brambilla E, et al. A mobile application for exercise intervention in people living with HIV. Med Sci Sports Exerc. 2020;52(2):425–33.
Cornier M-A, Després J-P, Davis N, Grossniklaus DA, Klein S, Lamarche B, et al. Assessing adiposity. Circulation. 2011;124(18):1996–2019.
VanItallie TB, Yang MU, Heymsfield SB, Funk RC, Boileau RA. Height-normalized indices of the body’s fat-free mass and fat mass: potentially useful indicators of nutritional status. Am J Clin Nutr. 1990;52(6):953–9.
Bergman RN, Stefanovski D, Buchanan TA, Sumner AE, Reynolds JC, Sebring NG, et al. A better index of body adiposity. Obesity (Silver Spring). 2011;19(5):1083–9.
Higgins JP, Savović J, Page MJ, Elbers RG, Sterne JA. Chapter 8: assessing risk of bias in a randomized trial. In: Higgins J, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, et al., editors. Cochrane handbook for systematic reviews of interventions version 6.2 (updated February 2021): Cochrane; 2021.
Sterne JA, Hernán MA, McAleenan A, Reeves BC, Higgins JP. Chapter 25: assessing risk of bias in a non-randomized study. In: Higgins J, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, et al., editors. Cochrane handbook for systematic reviews of interventions version 6.2 (updated February 2021): Cochrane; 2021.
Ainsworth BE, Haskell WL, Herrmann SD, Meckes N, Bassett DR Jr, Tudor-Locke C, et al. 2011 Compendium of Physical Activities: a second update of codes and MET values. Med Sci Sports Exerc. 2011;43(8):1575–81.
Wan X, Wang W, Liu J, Tong T. Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range. BMC Med Res Methodol. 2014;14:135.
Deurenberg P, Weststrate JA, Seidell JC. Body mass index as a measure of body fatness: age- and sex-specific prediction formulas. Br J Nutr. 1991;65(2):105–14.
Deeks JJ, Higgins JP, Altman DG. Chapter 10: analysing data and undertaking meta-analyses. In: Higgins J, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, et al., editors. Cochrane handbook for systematic reviews of interventions version 6.2 (updated February 2021) Cochrane; 2021.
Light RJ, Pillemer DB. Summing up: the science of reviewing research. Cambridge, MA: Harvard University Press.; 1984.
Sterne JA, Egger M, Smith GD. Systematic reviews in health care: investigating and dealing with publication and other biases in meta-analysis. Bmj. 2001;323(7304):101–5.
Egger M, Smith GD, Schneider M, Minder C. Bias in meta-analysis detected by a simple, graphical test. BMJ. 1997;315:629–34.
Duval S, Tweedie R. Trim and fill: a simple funnel-plot–based method of testing and adjusting for publication bias in meta-analysis. Biometrics. 2000;56(2):455–63.
The authors would like to acknowledge Griffith University Library for technical assistance in developing the search strategy and Leopold N. Aminde for reviewing the manuscript.
Amendments to this proposal will be documented and included in the methods section of the final output manuscript.
This study has received no funding.
Ethics approval and consent to participate
Consent for publication
The authors declare that they have no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Preferred Reporting Items for Systematic reviews and Meta-analysis Protocols (PRISMA-P) Checklist. Microsoft word document with populated checklist adapted from PRISMA-P and the PRISMA 2020 for Abstracts Checklist.
Data Extraction Sheet. Microsoft Excel document with detailed screening and extraction items.
About this article
Cite this article
Aminde, J.A., Harris, N., Thng, C. et al. Effectiveness of self-managed home and community exercise interventions in improving physical activity, body adiposity and related health indices in adults living with HIV: a protocol for a systematic review. Syst Rev 11, 37 (2022). https://doi.org/10.1186/s13643-022-01908-5