The relationship between objectively measured physical activity and parameters of disease control in an African population of type 2 diabetes mellitus
Open accessAbstract
Background: The incidence of type 2 diabetes mellitus (T2DM) is increasing rapidly. This is possibly due to increasing obesity, reduced level of activity, sedentary lifestyle, ageing population and industrialisation.Aim: The primary objective of this study was to ascertain the level of activity using a pedometer. The secondary objectives were: (1) to correlate the baseline level of activity with body mass index (BMI), HbA1c and blood pressure (BP), (2) to assess whether 7 000 steps a day influence HbA1c and BP over a three-month period.Method: A total of 110 patients were screened; 95 patients (n = 95) completed the study. At the first visit HbA1c, BMI and BP were measured. At the end of the first month baseline physical activity was recorded using pedometers. Patients were divided into two groups: active (n = 50) and control (n = 45). Patients in the active group were asked to walk a minimum of 7 000 steps/day. The control group were asked to continue their usual activity. These patients were followed up monthly over a period of three months. At each visit BMI, BP and step counts were recorded. HbA1c was measured only at the first and last visit.Result: Activity levels increased significantly in the active group throughout the study. Mean step count for the control group at baseline was 2 923.1 ± 1 136.9, which increased to 3 431.2 ± 1 251.7 by the end of the study. Mean step count for the active group at baseline was 4 609.9 ± 1 702.1, which increased to 7 244.8 ± 1 419.4 by the end of the study. The difference between control and active group was statistically significant (p < 0.001). Systolic and diastolic BP decreased significantly in both groups (p = 0.017) for systolic BP and (p = 0.002) for diastolic BP but no interaction was found between the groups as systolic and diastolic BP decreased at the same rate over time in both groups. HbA1c decreased by 1.04% in the active group; this difference was statistically highly significant (p < 0.001).Conclusion: Increase in activity levels decreases HbA1c by 1.04 percentage point over three months in T2DM (p < 0.001), which is statistically significant.
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The most consistent improvements in HbA1c among more active participants were observed in interventions that included a quantifiable objective.
“Notably, the most consistent improvements in HbA1c among more active participants were observed in interventions that included such a quantifiable objective [18,28,34].”
Cites
Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin
(2002) · New England Journal of Medicine · doi:10.1056/nejmoa012512 · Cited by 19,011 · cited 1× · see citing works
“The Diabetes Prevention Program (DPP) found that a minimum of 150 minutes/week of moderate-intensity PA, such as brisk walking, was more efficient than metformin or placebo in the prevention of T2DM in pre-diabetics.(6) Similarly, Heimrich et al.”
BackgroundGlobal estimates of the prevalence of diabetes for 2010 and 2030
Shaw, J. E., Sicree, R. A., & Zimmet, P. Z. (2010) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2009.10.007 · Cited by 7,216 · see citing works
Blair, S. N. (1995) · JAMA · doi:10.1001/jama.273.14.1093 · Cited by 2,088 · see citing works
How Many Steps/Day Are Enough?: Preliminary Pedometer Indices for Public Health
Tudor-Locke, C., & Bassett, D. R. (2004) · Sports Medicine · doi:10.2165/00007256-200434010-00001 · Cited by 2,054 · see citing works
Boulé, N. G., Haddad, E., Kenny, G. P., Wells, G. A., & Sigal, R. J. (2001) · JAMA · doi:10.1001/jama.286.10.1218 · Cited by 1,889 · see citing works
Physical activity and reduced occurrence of non–insulin-dependent diabetes mellitus
Helmrich, S. P., Ragland, D. R., Leung, R. W., & Paffenbarger, R. S. (1991) · New England Journal of Medicine · doi:10.1056/nejm199107183250302 · Cited by 1,634 · see citing works
Relationship of Walking to Mortality Among US Adults With Diabetes
Gregg, E. W., Gerzoff, R. B., Caspersen, C. J., Williamson, D. F., & Narayan, K. M. V. (2003) · Archives of Internal Medicine · doi:10.1001/archinte.163.12.1440 · Cited by 400 · see citing works
Yamanouchi, K., Shinozaki, T., Chikada, K., Nishikawa, T., Ito, K., Shimizu, S., Ozawa, N., Suzuki, Y., Maeno, H., Kato, K., et al. (1995) · Diabetes Care · doi:10.2337/diacare.18.6.775 · Cited by 330 · cited 1× · see citing works
“The advantages of regular PA in diabetes are: (1) better glycaemic control, (2) weight reduction and (3) improved insulin sensitivity.(8,9) The latter is integral to the prevention of cardiovascular complications, as impaired insulin activity can lead to elevated triglycerides, reduced high-density lipoprotein cholest…”
BackgroundPeirce, N. S. (1999) · British Journal of Sports Medicine · doi:10.1136/bjsm.33.3.161 · Cited by 156 · see citing works
Plotnikoff, R. C., Costigan, S. A., Karunamuni, N. D., & Lubans, D. R. (2013) · Frontiers in Endocrinology · doi:10.3389/fendo.2013.00003 · Cited by 70 · see citing works
Dyck, D. V., Greef, K. D., Deforche, B. I., Ruige, J. B., Bouckaert, J. J., Tudor-Locke, C. E., Kaufman, J., & Bourdeaudhuij, I. D. (2013) · Health Education Research · doi:10.1093/her/cyt038 · Cited by 59 · see citing works
Coronary Heart Disease in the First 30 Years of the 21st Century: Challenges and Opportunities
Beller, G. A. (2001) · Circulation · doi:10.1161/01.cir.103.20.2428 · Cited by 47 · see citing works
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1 of the 15 references couldn’t be matched to a known paper.
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Hall, K. S., Hyde, E. T., Bassett, D. R., Carlson, S. A., Carnethon, M. R., Ekelund, U., Evenson, K. R., Galuska, D. A., Kraus, W. E., Lee, I.-M., et al. (2020) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-020-00978-9 · Cited by 361 · see citing works
Lubaki, J.-P. F., Omole, O. B., & Francis, J. M. (2022) · Diabetology & Metabolic Syndrome · doi:10.1186/s13098-022-00902-0 · Cited by 66 · see citing works
Mutyambizi, C., Pavlova, M., Hongoro, C., & Groot, W. N. J. (2020) · BMC Endocrine Disorders · doi:10.1186/s12902-020-0492-y · Cited by 59 · see citing works
Sze, W. T., Waki, K., Enomoto, S., Nagata, Y., Nangaku, M., Yamauchi, T., & Ohe, K. (2023) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2023.104481 · Cited by 29 · see citing works
Laffi, A., Persiani, M., Piras, A., Meoni, A., & Raffi, M. (2025) · Healthcare · doi:10.3390/healthcare13192422 · Cited by 9 · see citing works
Bogaert, L., Willems, I., Calders, P., Dirinck, E. L., Kinaupenne, M., Decraene, M., Lapauw, B., Strumane, B., Daele, M. V., Verbestel, V., et al. (2024) · Diabetes & Metabolic Syndrome Clinical Research & Reviews · doi:10.1016/j.dsx.2024.102995 · Cited by 2 · see citing works
Fina Lubaki, J.-P., Omole, O. B., & Francis, J. M. (2022) · Figshare · doi:10.6084/m9.figshare.21175640
Fina Lubaki, J.-P., Omole, O. B., & Francis, J. M. (2022) · Figshare · doi:10.6084/m9.figshare.21175646
Fina Lubaki, J.-P., Omole, O. B., & Francis, J. M. (2022) · Figshare · doi:10.6084/m9.figshare.21175643
Fina Lubaki, J.-P., Omole, O. B., & Francis, J. M. (2022) · Figshare · doi:10.6084/m9.figshare.21175637
Fina Lubaki, J.-P., Omole, O. B., & Francis, J. M. (2022) · Figshare · doi:10.6084/m9.figshare.21175634
Fina Lubaki, J.-P., Omole, O. B., & Francis, J. M. (2022) · Figshare · doi:10.6084/m9.figshare.21175655
Fina Lubaki, J.-P., Omole, O. B., & Francis, J. M. (2022) · Figshare · doi:10.6084/m9.figshare.21175649
Fina Lubaki, J.-P., Omole, O. B., & Francis, J. M. (2022) · Figshare · doi:10.6084/m9.figshare.21175652
Fina Lubaki, J.-P., Omole, O. B., & Francis, J. M. (2022) · Figshare · doi:10.6084/m9.figshare.21175658
Bicer, M., Kirk, C., Agoriwo, M. W., Cham, M., Akpalu, A., Okubadejo, N., Sarvestan, J., Lumsdon, J., Okkaoğlu, Y., Brittain, K., et al. (2026) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2026.1899045
- Authors
- Siddiqui, M., Bhana, S., & Daya, R.
- Affiliations
- Department of Internal Medicine, South Africa
- Chris Hani Baragwanath Hospital (ZA)
- Corresponding author
- Siddiqui, MA
- Venue
- Journal of Endocrinology Metabolism and Diabetes of South Africa
- Publisher
- Informa UK Limited
- Published
- 2018-09-02
- Volume
- 23
- Issue
- 3
- Pages
- 80-85
- ISSN
- 1608-9677 (ISSN-L)
- 2220-1009
- OpenAlex
- W2898464447
- Cited by
- 16
- References
- 15
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 1 · 2023: 1 · 2022: 10 · 2020: 2
- FWCI
- 0.35
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by-nc
- Locations
- Journal of Endocrinology Metabolism and Diabetes of South Africa (publishedVersion, cc-by-nc)
- Topics
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Keywords
- type 2 diabetes, physical activity, pedometers, step count, HbA1c, glycemic control, blood pressure, body mass index, walking, African populations, disease management
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