Social cognitive theory-based intervention to promote physical activity among prediabetic rural people: a cluster randomized controlled trial

Tahereh Shamizadeh, Leila Jahangiry, Parvin Sarbakhsh, Koen Ponnet, Tahereh Shamizadeh, Leila Jahangiry, Parvin Sarbakhsh, Koen Ponnet

Abstract

Background: The present randomized controlled trial (RCT) evaluated the effectiveness of a theory-based physical activity (PA) intervention for rural patients with prediabetes. It was hypothesized that a PA intervention program based on the social cognitive theory (SCT) will modify fasting blood sugar (FBS) among rural people with prediabetes, which in turn will result in a decrease in diabetes incidence in the rural area.

Methods: A cluster RCT on prediabetic people was conducted in Ahar, East Azerbaijan Province, Iran. A PA intervention in prediabetes was performed over 16 weeks of follow-ups in 12 villages (six per arm). Residents (n = 272; n = 136 per arm) were invited to participate in the study through rural health care centers during screening for eligibility. Participants in the intervention and control groups were informed of their prediabetic conditions and encouraged to make appropriate changes to their lifestyles to modify their prediabetes. The intervention was an educational program delivered over 16 weeks and involved behavioral change techniques. Through the education program, the intervention group received one session per week lasting about 90 min (a total of 16 sessions). The importance of risk control with PA, the duration of hill climbing, as well as exercise and safety tips were explained in a brochure that was given to the participants. Anthropometric measures, glycemic status, and PA were evaluated at the beginning of the program and after 16 weeks of follow-up.

Results: The PA program showed a reduction in FBS mg/dl at 16 weeks (large-effect-size Cohen's d = -0.63, p = 0.001) compared to the control condition. PA intervention led to a large effect size on diastolic blood pressure (BP, - 1.01) and a medium effect size for systolic BP (- 0.57), body mass index (BMI, - 0.33), and weight (- 0.35). Based on generalized linear mixed model analysis, significant reductions in FBS (mg/dl), BMI, weight, and diastolic BP were found in the intervention group compared to the control group.

Conclusion: Our results support the effectiveness of an SCT-based PA intervention to reduce the risk of prediabetes developing into diabetes among rural patients with prediabetes. Findings suggest that implementation of SCT-based PA intervention for a rural population at risk of diabetes has potential benefits.

Trial registration: Iranian Registry of Clinical Trials, IRCT201607198132N4 . Registered on 1 September 2017. Prospectively registered.

Keywords: Diabetes; Physical activity; Prediabetes; Social cognitive theory.

Conflict of interest statement

Ethics approval and consent to participate

Informed written consent was obtained from all participants. The study received ethical approval from the Ethics Committee of Tabriz University of Medical Sciences (IR.TBZMED.REC.1395.13).

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

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

Figures

Fig. 1
Fig. 1
The study clusters
Fig. 2
Fig. 2
The study flowchart

References

    1. Herman WH, Rothberg AE. Prevalence of diabetes in the United States: a glimmer of hope? JAMA. 2015;314:1005–1007. doi: 10.1001/jama.2015.10030.
    1. Esteghamati A, Etemad K, Koohpayehzadeh J, Abbasi M, Meysamie A, Noshad S, Asgari F, Mousavizadeh M, Rafei A, Khajeh E, et al. Trends in the prevalence of diabetes and impaired fasting glucose in association with obesity in Iran: 2005–2011. Diabetes Res Clin Pract. 2014;103:319–327. doi: 10.1016/j.diabres.2013.12.034.
    1. Esteghamati A, Gouya MM, Abbasi M, Delavari A, Alikhani S, Alaedini F, Safaie A, Forouzanfar M, Gregg EW. Prevalence of diabetes and impaired fasting glucose in the adult population of Iran. National Survey of Risk Factors for Non-Communicable Diseases of Iran. Diabetes Care. 2008;31:96–98. doi: 10.2337/dc07-0959.
    1. Boyle JP, Thompson TJ, Gregg EW, Barker LE, Williamson DF. Projection of the year 2050 burden of diabetes in the US adult population: dynamic modeling of incidence, mortality, and prediabetes prevalence. Popul Health Metrics. 2010;8:29. doi: 10.1186/1478-7954-8-29.
    1. Tabák AG, Herder C, Rathmann W, Brunner EJ, Kivimäki M. Prediabetes: a high-risk state for developing diabetes. Lancet. 2012;379:2279–2290. doi: 10.1016/S0140-6736(12)60283-9.
    1. Tuso P. Prediabetes and lifestyle modification: time to prevent a preventable disease. Perm J. 2014;18:88–93. doi: 10.7812/TPP/14-002.
    1. Alfaqeeh G, Cook EJ, Randhawa G, Ali N. Access and utilisation of primary health care services comparing urban and rural areas of Riyadh Providence, Kingdom of Saudi Arabia. BMC Health Serv Res. 2017;17:106. doi: 10.1186/s12913-017-1983-z.
    1. Portero McLellan KC, Wyne K, Villagomez ET, Hsueh WA. Therapeutic interventions to reduce the risk of progression from prediabetes to type 2 diabetes mellitus. Ther Clin Risk Manag. 2014;10:173–188.
    1. Aune D, Norat T, Leitzmann M, Tonstad S, Vatten LJ. Physical activity and the risk of type 2 diabetes: a systematic review and dose–response meta-analysis. Eur J Epidemiol. 2015;30:529–542. doi: 10.1007/s10654-015-0056-z.
    1. Jadhav RA, Hazari A, Monterio A, Kumar S, Maiya AG. Effect of physical activity intervention in prediabetes: a systematic review with meta-analysis. J Phys Act Health. 2017;14:745–755. doi: 10.1123/jpah.2016-0632.
    1. Bandura A. Social cognitive theory: an agentic perspective. Annu Rev Psychol. 2001;52:1–26. doi: 10.1146/annurev.psych.52.1.1.
    1. Bandura A. Social cognitive theory of self-regulation. Organ Behav Hum Decis Process. 1991;50:248–287. doi: 10.1016/0749-5978(91)90022-L.
    1. Young MD, Plotnikoff RC, Collins CE, Callister R, Morgan PJ. Social cognitive theory and physical activity: a systematic review and meta-analysis. Obes Rev. 2014;15:983–995. doi: 10.1111/obr.12225.
    1. Gram B, Christensen R, Christiansen C, Gram J. Effects of Nordic walking and exercise in type 2 diabetes mellitus: a randomized controlled trial. Clin J Sport Med. 2010;20:355–361.
    1. Michie S, Richardson M, Johnston M, Abraham C, Francis J, Hardeman W, Eccles MP, Cane J, Wood CE. The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: building an international consensus for the reporting of behavior change interventions. Ann Behav Med. 2013;46:81–95. doi: 10.1007/s12160-013-9486-6.
    1. Global recommendations on physical activity for health. Geneva: World Health Organization; 2010. . Accessed 17 Sept 2017.
    1. American Diabetes Association Diagnosis and classification of diabetes mellitus. Diabetes Care. 2014;37:S81–S90. doi: 10.2337/dc14-S081.
    1. Lohman TG, Roche AF, Martorell R. Anthropometric standardization reference manual. Champaign: Human Kinetics Books; 1988.
    1. Vasheghani-Farahani A, Tahmasbi M, Asheri H, Ashraf H, Nedjat S, Kordi R. The Persian, last 7-day, long form of the International Physical Activity Questionnaire: translation and validation study. Asian J Sports Med. 2011;2:106–116. doi: 10.5812/asjsm.34781.
    1. Committee IR: Guidelines for data processing and analysis of the International Physical Activity Questionnaire (IPAQ)-short and long forms. . Accessed 17 Sept 2017.
    1. Rodgers WM, Wilson PM, Hall CR, Fraser SN, Murray TC. Evidence for a multidimensional self-efficacy for exercise scale. Res Q Exerc Sport. 2008;79:222–234. doi: 10.1080/02701367.2008.10599485.
    1. Taylor LM, Raine KD, Plotnikoff RC, Vallance JK, Sharma AM, Spence JC. Understanding physical activity in individuals with prediabetes: an application of social cognitive theory. Psychol Health Med. 2016;21:254–260. doi: 10.1080/13548506.2015.1058486.
    1. Waltz CF, Bausell BR. Nursing research: design statistics and computer analysis. Philadelphia: F.A. Davis; 1981.
    1. Waltz CF, Strickland OL, Lenz ER. Measurement in nursing and health research. New York: Springer; 2010.
    1. Lawshe CH. A quantitative approach to content validity. Pers Psychol. 1975;28:563–575. doi: 10.1111/j.1744-6570.1975.tb01393.x.
    1. Nilsen V, Bakke PS, Gallefoss F. Effects of lifestyle intervention in persons at risk for type 2 diabetes mellitus - results from a randomised, controlled trial. BMC Public Health. 2011;11:893. doi: 10.1186/1471-2458-11-893.
    1. Fergusson D, Aaron SD, Guyatt G, Hébert P. Post-randomisation exclusions: the intention to treat principle and excluding patients from analysis. BMJ. 2002;325:652–654. doi: 10.1136/bmj.325.7365.652.
    1. Rice ME, Harris GT. Comparing effect sizes in follow-up studies: ROC Area, Cohen’s d, and r. Law Hum Behav. 2005;29:615. doi: 10.1007/s10979-005-6832-7.
    1. Church TS, Blair SN, Cocreham S, Johannsen N, Johnson W, Kramer K, Mikus CR, Myers V, Nauta M, Rodarte RQ, et al. Effects of aerobic and resistance training on hemoglobin A1c levels in patients with type 2 diabetes: a randomized controlled trial. JAMA. 2010;304:2253–2262. doi: 10.1001/jama.2010.1710.
    1. Diabetes Prevention Program Research G Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med. 2002;346:393–403. doi: 10.1056/NEJMoa012512.
    1. Riddell MC, Burr J. Evidence-based risk assessment and recommendations for physical activity clearance: diabetes mellitus and related comorbidities. Appl Physiol Nutr Metab. 2011;36:S154–S189. doi: 10.1139/h11-063.
    1. Chen MF, Hung SL, Chen SL. Empowerment program for people with prediabetes: a randomized controlled trial. J Nurs Res. 2017;25:99–111. doi: 10.1097/JNR.0000000000000193.
    1. Anderson ES, Wojcik JR, Winett RA, Williams DM. Social-cognitive determinants of physical activity: the influence of social support, self-efficacy, outcome expectations, and self-regulation among participants in a church-based health promotion study. Health Psychol. 2006;25:510. doi: 10.1037/0278-6133.25.4.510.
    1. McAuley E, Szabo A, Gothe N, Olson EA. Self-efficacy: implications for physical activity, function, and functional limitations in older adults. Am J Lifestyle Med. 2011;5(4):10. doi: 10.1177/1559827610392704.
    1. Sakane N, Sato J, Tsushita K, Tsujii S, Kotani K, Tsuzaki K, Tominaga M, Kawazu S, Sato Y, Usui T, Kamae I. Prevention of type 2 diabetes in a primary healthcare setting: three-year results of lifestyle intervention in Japanese subjects with impaired glucose tolerance. BMC Public Health. 2011;11:40. doi: 10.1186/1471-2458-11-40.
    1. Saaristo T, Moilanen L, Korpi-Hyövälti E, Vanhala M, Saltevo J, Niskanen L, Jokelainen J, Peltonen M, Oksa H, Tuomilehto J, Uusitupa M. Lifestyle intervention for prevention of type 2 diabetes in primary health care: one-year follow-up of the Finnish National Diabetes Prevention Program (FIN-D2D) Diabetes Care. 2010;33:2146–2151. doi: 10.2337/dc10-0410.
    1. Vermunt PW, Milder IE, Wielaard F, De Vries JH, Van Oers HA, Westert GP. Lifestyle counseling for type 2 diabetes risk reduction in Dutch primary care: results of the APHRODITE study after 0.5 and 1.5 years. Diabetes Care. 2011;34:1919–1925. doi: 10.2337/dc10-2293.
    1. Mensink M, Blaak EE, Corpeleijn E, Saris WH, De Bruin TW, Feskens EJ. Lifestyle intervention according to general recommendations improves glucose tolerance. Obes Res. 2003;11:1588–1596. doi: 10.1038/oby.2003.211.
    1. Lindstrom J, Louheranta A, Mannelin M, Rastas M, Salminen V, Eriksson J, Uusitupa M, Tuomilehto J. The Finnish Diabetes Prevention Study (DPS): lifestyle intervention and 3-year results on diet and physical activity. Diabetes Care. 2003;26:3230–3236. doi: 10.2337/diacare.26.12.3230.
    1. McPhee JS, French DP, Jackson D, Nazroo J, Pendleton N, Degens H. Physical activity in older age: perspectives for healthy ageing and frailty. Biogerontology. 2016;17:567–580. doi: 10.1007/s10522-016-9641-0.
    1. Sweet SN, Fortier MS. Improving physical activity and dietary behaviours with single or multiple health behaviour interventions? A synthesis of meta-analyses and reviews. Int J Environ Res Public Health. 2009;6:1–25.
    1. Williams SL, French DP. What are the most effective intervention techniques for changing physical activity self-efficacy and physical activity behaviour—and are they the same? Health Educ Res. 2011;26:308–322. doi: 10.1093/her/cyr005.
    1. Hu Z, Qin L, Xu H. One-year results of a synthetic intervention model for the primary prevention of T2D among elderly individuals with prediabetes in rural China. Int J Environ Res Public Health. 2017;14:417. doi: 10.3390/ijerph14040417.
    1. Hallal PC, Andersen LB, Bull FC, Guthold R, Haskell W, Ekelund U, Lancet Physical Activity Series Working Group Global physical activity levels: surveillance progress, pitfalls, and prospects. Lancet. 2012;380:247–257. doi: 10.1016/S0140-6736(12)60646-1.
    1. Tremblay MS, Warburton DE, Janssen I, Paterson DH, Latimer AE, Rhodes RE, Kho ME, Hicks A, LeBlanc AG, Zehr L. New Canadian physical activity guidelines. Appl Physiol Nutr Metab. 2011;36:36–46. doi: 10.1139/H11-009.
    1. Bean MK, Miller S, Mazzeo SE, Fries EA. Social cognitive factors associated with physical activity in elementary school girls. Am J Health Behav. 2012;36:265–274. doi: 10.5993/AJHB.36.2.11.
    1. Plotnikoff RC, Lippke S, Courneya KS, Birkett N, Sigal RJ. Physical activity and social cognitive theory: a test in a population sample of adults with type 1 or type 2 diabetes. Appl Psychol. 2008;57:628–643. doi: 10.1111/j.1464-0597.2008.00344.x.
    1. Shahgholian N, KarimiFard O, Shahidi S. Effects of aerobic exercise on blood glucose in continuous ambulatory peritoneal dialysis patients. Iran J Nurs Midwifery Res. 2015;20:165–170.

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