The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Insights into Non-Exercise Physical Activity on Control of Body Mass: A Review with Practical Recommendations
Abstract
Non-exercise physical activity (NEPA), also called unstructured or informal physical activity, refers to those daily activities that require movement of the human body without planning or strict control of the physical effort made. Due to new technologies and motorized transportation devices, the general population has significantly decreased its NEPA. This increase in sedentary lifestyles, physical inactivity, and excessive energy intake is considered a risk factor for obesity, non-communicable diseases (NCDs), and all-cause mortality. Searching in PubMed/MEDLINE and Web of Science databases, a narrative review of NEPA was carried out to address its conceptualization, promotion strategies for the general population, and monitoring through wearable devices. It is strongly recommended that governmental entities, health practitioners, and the construction industry adhere to “The Global Action Plan on Physical Activity 2018–2030: More Active People for a Healthier World” and implement different salutogenic urban strategies. These strategies aim to generate environments that motivate increases in NEPA, such as cycling and walking transportation (between 5000–12,500 steps per day), and the progression to physical exercise. There is a wide variety of electronic devices for personal use, such as accelerometers, smartphone apps, or “smart clothes”, that allow for the monitoring of NEPA, some with a wide range of analysis variables contributing to the estimation of total daily energy expenditure and the promotion of healthy habits. In general, the further promotion and monitoring of NEPA is required as part of a strategy to promote healthy habits sustainable over time for the prevention and control of obesity and NCDs.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“On a final note, screen time (TV, desktop device, mobile phone) can be a significant barrier to physical activity [209], healthy sleep patterns, and psychological health [210].”
From International Society of Sports Nutrition position stand: diets for body weight reduction (2026) · cites this paper as [209]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Health benefits of physical activity: a systematic review of current systematic reviews
Warburton, D. E. R., & Bredin, S. S. D. (2017) · Current Opinion in Cardiology · doi:10.1097/hco.0000000000000437 · Cited by 2,410
Using Pedometers to Increase Physical Activity and Improve Health: A Systematic Review
Bravata, D. M., Smith-Spangler, C., Sundaram, V., Gienger, A. L., Lin, N., Lewis, R., Stave, C. D., Olkin, I., & Sirard, J. R. (2007) · JAMA · doi:10.1001/jama.298.19.2296 · Cited by 2,064
Kyu, H. H., Bachman, V. F., Alexander, L. T., Mumford, J. E., Afshin, A., Estep, K., Veerman, J. L., Delwiche, K., Iannarone, M. L., Moyer, M. L., et al. (2016) · BMJ · doi:10.1136/bmj.i3857 · Cited by 1,272
A Review of Accelerometry-Based Wearable Motion Detectors for Physical Activity Monitoring
Yang, C.-C., & Hsu, Y.-L. (2010) · Sensors · doi:10.3390/s100807772 · Cited by 1,058
Priming effects of television food advertising on eating behavior.
Harris, J. L., Bargh, J. A., & Brownell, K. D. (2009) · Health Psychology · doi:10.1037/a0014399 · Cited by 945
Interindividual variation in posture allocation: possible role in human obesity
Levine, J. A., Lanningham-Foster, L. M., McCrady, S. K., Krizan, A. C., Olson, L. R., Kane, P. H., Jensen, M. D., & Clark, M. M. (2005) · Science · doi:10.1126/science.1106561 · Cited by 705
Role of Inactivity in Chronic Diseases: Evolutionary Insight and Pathophysiological Mechanisms
Booth, F. W., Roberts, C. K., Thyfault, J. P., Ruegsegger, G. N., & Toedebusch, R. G. (2017) · Physiological Reviews · doi:10.1152/physrev.00019.2016 · Cited by 696
Smartphones, social media use and youth mental health
Abi-Jaoude, E., Naylor, K. T., & Pignatiello, A. (2020) · Canadian Medical Association Journal · doi:10.1503/cmaj.190434 · Cited by 627
Cauza, E., Hanusch-Enserer, U., Strasser, B., Ludvik, B., Metz-Schimmerl, S., Pacini, G., Wagner, O., Georg, P., Prager, R., Kostner, K., et al. (2005) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2005.01.007 · Cited by 392
Oswald, T. K., Rumbold, A. R., Kedzior, S. G. E., & Moore, V. M. (2020) · PLoS ONE · doi:10.1371/journal.pone.0237725 · Cited by 367 · cited 2×
“Additional strategies for the general population include: establishing specific schedules without any technology; creating shared spaces at home for recharging electronic devices; avoiding the use of electronic devices in bedrooms; using traditional alarm clocks to restrict smartphone use early in the morning and befo…”
Background
Research works printed but not linked: 60
- Hruby, 2014, The Epidemiology of Obesity: A Big Picture, Pharmacoeconomics, 33, 673, 10.1007/s40273-014-0243-x · DOI · Paper page
- Campos, 2016, Skeletal Muscle Regulates Metabolism via Interorgan Crosstalk: Roles in Health and Disease, J. Am. Med. Dir. Assoc., 17, 789, 10.1016/j.jamda.2016.04.019 · DOI · Paper page
- Chakravarthy, 2004, Eating, exercise, and “thrifty” genotypes: Connecting the dots toward an evolutionary understanding of modern chronic diseases, J. Appl. Physiol., 96, 3, 10.1152/japplphysiol.00757.2003 · DOI · Paper page
- Rosenbaum, 2014, 20 years of leptin: Role of leptin in energy homeostasis in humans, J. Endocrinol., 223, T83, 10.1530/JOE-14-0358 · DOI · Paper page
- Sawamoto, 2017, Predictors of successful long-term weight loss maintenance: A two-year follow-up, BioPsychoSocial Med., 11, 14, 10.1186/s13030-017-0099-3 · DOI
- Kruger, 2006, Dietary and physical activity behaviors among adults successful at weight loss maintenance, Int. J. Behav. Nutr. Phys. Act., 3, 17, 10.1186/1479-5868-3-17 · DOI
- Laddu, 2021, The role of the built environment in promoting movement and physical activity across the lifespan: Implications for public health, Prog. Cardiovasc. Dis., 64, 33, 10.1016/j.pcad.2020.12.009 · DOI
- Caspersen, 1985, Physical activity, exercise, and physical fitness: Definitions and distinctions for health-related research, Public Health Rep., 100, 126
- Ruiz, 2006, Anti-aging therapy through fitness enhancement, Clin. Interv. Aging, 1, 213, 10.2147/ciia.2006.1.3.213 · DOI
- Bonas, 2016, How can systematic reviews incorporate qualitative research? A critical perspective, Qual. Res., 6, 27
- Peters, 2021, Updated methodological guidance for the conduct of scoping reviews, JBI Evid. Implement., 19, 3, 10.1097/XEB.0000000000000277 · DOI · Paper page
- Lisy, 2016, Narrative Synthesis, Int. J. Evid.-Based Healthc., 14, 201, 10.1097/01.XEB.0000511348.97198.8c · DOI
- Westerterp, 2013, Physical Activity and Physical Activity Induced Energy Expenditure in Humans: Measurement, Determinants, and Effects, Front. Physiol., 4, 90, 10.3389/fphys.2013.00090 · DOI · Paper page
- American College of Sports Medicine (2014). ACSM’s Guidelines for Exercise Testing and Prescription, Lippincott Williams & Wilkins.
- Cunningham, 2010, Physical activity, exercise and low-grade systemic inflammation, Proc. Nutr. Soc., 69, 400, 10.1017/S0029665110001928 · DOI
- Piggin, 2020, What Is Physical Activity? A Holistic Definition for Teachers, Researchers and Policy Makers, Front. Sport. Act. Living, 2, 72, 10.3389/fspor.2020.00072 · DOI · Paper page
- Beltaifa, 2011, Walk-Run Transition Speed Training as an Efficient Exercise Adjunct to Dietary Restriction in the Management of Obesity: A Prospective Intervention Pilot Study, Obes. Facts, 4, 45, 10.1159/000324579 · DOI
- Villareal, 2017, Aerobic or Resistance Exercise, or Both, in Dieting Obese Older Adults, N. Engl. J. Med., 376, 1943, 10.1056/NEJMoa1616338 · DOI · Paper page
- Reineke, 2020, The influence of endurance and strength training on body composition and physical fitness in female students, J. Phys. Educ. Sport, 2020, 8
- Ekelund, 2016, Does physical activity attenuate, or even eliminate, the detrimental association of sitting time with mortality? A harmonised meta-analysis of data from more than 1 million men and women, Lancet, 388, 1302, 10.1016/S0140-6736(16)30370-1 · DOI · Paper page
- Alacid, 2021, Development of alternatives to estimate resting metabolic rate from anthropometric variables in paralympic swimmers, J. Sport. Sci., 39, 2133, 10.1080/02640414.2021.1922175 · DOI
- Granata, 2002, The thermic effect of food and obesity: Discrepant results and methodological variations, Nutr. Rev., 60, 223, 10.1301/002966402320289359 · DOI
- Levine, 2006, Non-Exercise Activity Thermogenesis, Arterioscler. Thromb. Vasc. Biol., 26, 729, 10.1161/01.ATV.0000205848.83210.73 · DOI · Paper page
- Malaeb, 2019, A “NEAT” Approach to Obesity Prevention in the Modern Work Environment, Workplace Health Saf., 67, 102, 10.1177/2165079918790980 · DOI
- Silva, 2018, What is the effect of diet and/or exercise interventions on behavioural compensation in non-exercise physical activity and related energy expenditure of free-living adults? A systematic review, Br. J. Nutr., 119, 1327, 10.1017/S000711451800096X · DOI
- Liu, 2022, Compensatory effects of different exercise durations on non-exercise physical activity, appetite, and energy intake in normal weight and overweight adults, Front. Physiol., 13, 932846, 10.3389/fphys.2022.932846 · DOI
- Morencos, 2013, Can the exercise mode determine lipid profile improvements in obese patients?, Nutr. Hosp., 28, 607
- Gomez-Miranda, L.M., Briones-Villalba, R.A., Ortiz-Ortiz, M., Aburto-Corona, J.A., Bonilla, D.A., Pozos-Parra, P., Espinoza-Gutierrez, R., Calleja-Nunez, J.J., Moncada-Jimenez, J., and Hernandez-Lepe, M.A. (2022). Association between Body Mass Index with Sugar-Sweetened and Dairy Beverages Consumption in Children from the Mexico-USA Border. Int. J. Environ. Res. Public Health, 19. · DOI
- Brown, V., Moodie, M., Cobiac, L., Mantilla Herrera, A.M., and Carter, R. (2017). Obesity-related health impacts of fuel excise taxation- an evidence review and cost-effectiveness study. BMC Public Health, 17. · DOI
- Courtemanche, 2011, A Silver Lining? The Connection between Gasoline Prices and Obesity, Econ. Inq., 49, 935, 10.1111/j.1465-7295.2009.00266.x · DOI
- Hou, 2011, Longitudinal trends in gasoline price and physical activity: The CARDIA study, Prev. Med., 52, 365, 10.1016/j.ypmed.2011.02.007 · DOI
- Chen, 2018, Reducing Harm From Media: A Meta-Analysis of Parental Mediation, J. Mass Commun. Q., 96, 173
- Ochs, 2021, Curtailing smartphone use: A field experiment evaluating two interventions, Behav. Inf. Technol., 41, 3598, 10.1080/0144929X.2021.2007284 · DOI
- Choksi, 2021, A Study to Find Out the Correlation of Mobile Phone Addiction with Anxiety, Depression, Stress and Sleep Quality in the College Students of Surat City, Int. J. Curr. Res. Rev., 13, 137, 10.31782/IJCRR.2021.13812 · DOI
- Hatano, 2008, Revisiting “How Many Steps Are Enough?”, Med. Sci. Sport. Exerc., 40, S537, 10.1249/MSS.0b013e31817c7133 · DOI · Paper page
- Hansen, M.M., Jones, R., and Tocchini, K. (2017). Shinrin-Yoku (Forest Bathing) and Nature Therapy: A State-of-the-Art Review. Int. J. Environ. Res. Public Health, 14. · DOI · Paper page
- Marselle, M.R., Stadler, J., Korn, H., Irvine, K.N., and Bonn, A. (2019). Biodiversity and Health in the Face of Climate Change, Springer. · DOI · Paper page
- Kopec, D. (2017). Health and Well-Being for Interior Architecture, Routledge. [1st ed.]. · doi:10.4324/9781315464411
- Kopec, D. (2017). Health and Well-Being for Interior Architecture, Routledge. [1st ed.]. · doi:10.4324/9781315464411
- Coughlin, 2016, A Review of Smartphone Applications for Promoting Physical Activity, Jacobs J. Community Med., 2, 021
- Sallis, 2015, Assessment of Physical Activity by Self-Report: Status, Limitations, and Future Directions, Res. Q. Exerc. Sport, 71, 1, 10.1080/02701367.2000.11082780 · DOI · Paper page
- Barsocchi, 2022, Applications of wearable technologies in healthcare: An analytical study, 5G IoT and Edge Computing for Smart Healthcare, Volume 1, 279
- Western, M.J., Peacock, O.J., Stathi, A., and Thompson, D. (2015). The understanding and interpretation of innovative technology-enabled multidimensional physical activity feedback in patients at risk of future chronic disease. PLoS ONE, 10. · DOI
- Patel, 2015, Wearable devices as facilitators, not drivers, of health behavior change, JAMA, 313, 459, 10.1001/jama.2014.14781 · DOI · Paper page
- Freedson, 2000, Objective monitoring of physical activity using motion sensors and heart rate, Res. Q. Exerc. Sport, 71, S21, 10.1080/02701367.2000.11082782 · DOI · Paper page
- Broderick, 2014, A guide to assessing physical activity using accelerometry in cancer patients, Support. Care Cancer, 22, 1121, 10.1007/s00520-013-2102-2 · DOI
- Robertson, 2011, Utility of accelerometers to measure physical activity in children attending an obesity treatment intervention, J. Obes., 2011, 398918, 10.1155/2011/398918 · DOI
- Hills, 2014, Assessment of physical activity and energy expenditure: An overview of objective measures, Front. Nutr., 1, 5, 10.3389/fnut.2014.00005 · DOI · Paper page
- Yang, 2018, Reliability and validity of a new accelerometer-based device for detecting physical activities and energy expenditure, PeerJ, 6, e5775, 10.7717/peerj.5775 · DOI
- Pennestri, F., Banfi, G., and Tomaiuolo, R. (Clin. Chem. Lab. Med., 2023). Remote decentralized clinical trials: A new opportunity for laboratory medicine, Clin. Chem. Lab. Med., Online ahead of print. · DOI
- Ali, 2023, Exploring Decentralized Glucose and Behaviometric Monitoring of Persons with Type 2 Diabetes in the Setting of a Clinical Trial, J. Diabetes Sci. Technol., 17, 117, 10.1177/19322968211045656 · DOI
- Hartung, V., Sarshar, M., Karle, V., Shammas, L., Rashid, A., Roullier, P., Eilers, C., Maurer, M., Flachenecker, P., and Pfeifer, K. (2020). Validity of Consumer Activity Monitors and an Algorithm Using Smartphone Data for Measuring Steps during Different Activity Types. Int. J. Environ. Res. Public Health, 17. · DOI
- Bassett, 2004, How Many Steps/Day Are Enough?, Sport. Med., 34, 1, 10.2165/00007256-200434010-00001 · DOI · Paper page
- Hultquist, 2005, Comparison of walking recommendations in previously inactive women, Med. Sci. Sport. Exerc., 37, 676, 10.1249/01.MSS.0000158993.39760.1B · DOI
- Jiang, 2019, The Cost-Effectiveness of Digital Health Interventions on the Management of Cardiovascular Diseases: Systematic Review, J. Med. Internet Res., 21, e13166, 10.2196/13166 · doi:10.2196/13166
- Gentili, 2022, The cost-effectiveness of digital health interventions: A systematic review of the literature, Front. Public Health, 10, 787135, 10.3389/fpubh.2022.787135 · DOI · Paper page
- Mollee, 2017, What technological features are used in smartphone apps that promote physical activity? A review and content analysis, Pers. Ubiquitous Comput., 21, 633, 10.1007/s00779-017-1023-3 · DOI
- Kageyama, I., Kurata, K., Miyashita, S., Lim, Y., Sengoku, S., and Kodama, K. (2022). A Bibliometric Analysis of Wearable Device Research Trends 2001-2022-A Study on the Reversal of Number of Publications and Research Trends in China and the USA. Int. J. Environ. Res. Public Health, 19. · DOI
- Koyama, Y., Nishiyama, M., and Watanabe, K. (2018, January 9–12). Physical activity recognition using hetero-core optical fiber sensors embedded in a smart clothing. Proceedings of the 2018 IEEE 7th Global Conference on Consumer Electronics (GCCE), Nara, Japan. · DOI
- Wang, Z., Yang, Z., and Dong, T. (2017). A Review of Wearable Technologies for Elderly Care that Can Accurately Track Indoor Position, Recognize Physical Activities and Monitor Vital Signs in Real Time. Sensors, 17. · DOI · Paper page
Cited by
International Society of Sports Nutrition position stand: diets for body weight reduction
Aragon, A. A., Campbell, B. I., Schoenfeld, B. J., Stout, J. R., Kalman, D., Arciero, P. J., Arent, S. M., Kreider, R. B., Taylor, L. W., Bannock, L., et al. (2026) · Journal of the International Society of Sports Nutrition · doi:10.1080/15502783.2026.2740266
Self-citation
Metadata
- Authors
- Bonilla, D. A., Peralta-Alzate, J. O., Bonilla-Henao, J. A., Cannataro, R., Cardozo, L. A., Vargas-Molina, S., Stout, J. R., Kreider, R. B., & Petro, J. L.
- Affiliations
- Research Division, Dynamical Business & Science Society—DBSS International SAS, Bogota 110311, Colombia
- Research and Measurement Group in Sports Training (IMED), Faculty of Health Sciences and Sports, Fundación Universitaria del Área Andina, Bogota 111221, Colombia
- Physiology of Work and Exercise Response (POWER) Laboratory, Institute of Exercise Physiology and Rehabilitation Science, University of Central Florida, Orlando, FL 32816, USA
- Exercise & Sport Nutrition Laboratory, Human Clinical Research Facility, Texas A&M University, College Station, TX 77843, USA
- ORCID
- Venue
- Journal of Functional Morphology and Kinesiology
- Publisher
- MDPI AG
- Published
- 2023-04-11
- Volume
- 8
- Issue
- 2
- Pages
- 44
- ISSN
- 2411-5142
- Cited by
- 18
- References
- 17
- Language
- en
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Insights into Non-Exercise Physical Activity on Control of Body Mass: A Review with Practical Recommendations. https://app.cochat.ai/papers/10.3390/jfmk8020044
- The paper
- Bonilla, D. A., Peralta-Alzate, J. O., Bonilla-Henao, J. A., Cannataro, R., Cardozo, L. A., Vargas-Molina, S., Stout, J. R., Kreider, R. B., & Petro, J. L. (2023). Insights into Non-Exercise Physical Activity on Control of Body Mass: A Review with Practical Recommendations. Journal of Functional Morphology and Kinesiology. https://doi.org/10.3390/jfmk8020044
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.