Literature DB >> 29335328

Walking prescription of 10 000 steps per day in patients with type 2 diabetes mellitus: a randomised trial in Nigerian general practice.

Ayorinde F Fayehun1, Olufemi O Olowookere2, Adetola M Ogunbode2, Adedotun A Adetunji2, Arinola Esan3.   

Abstract

BACKGROUND: In clinical practice, translating the benefits of a sustained physically active lifestyle on glycaemic control in patients with type 2 diabetes mellitus (T2DM) is difficult. A walking prescription may be an effective alternative. AIM: To examine the effect of a 10 000 steps per day prescription on glycaemic control of patients with T2DM. DESIGN AND
SETTING: Forty-six adults with T2DM attending a general outpatient clinic were randomised into two equal groups. The intervention group was given goals to accumulate 10 000 steps per day for 10 weeks, whereas the control group maintained their normal activity habits.
METHOD: Daily step count was measured with waist-mounted pedometer and baseline and endline average steps per day. Glycosylated haemoglobin (HbA1c), anthropometric, and cardiovascular measurements were also obtained. An intention-to-treat analysis was done.
RESULTS: The average baseline step count was 4505 steps per day for all participants, and the average step count in the intervention group for the last 4 weeks of the study period was higher by 2913 steps per day (95% confidence interval [CI] = 1274 to 4551, F (2, 37.7) = 18.90, P<0.001). Only 6.1% of the intervention group participants achieved the 10 000 steps per day goal. The mean baseline HbA1c was 6.6% (range = 5.3 to 9.0). Endline HbA1c was lower in the intervention group than in the control group (mean difference -0.74%, 95% CI = -1.32 to -0.02, F = 12.92, P = 0.015) after adjusting for baseline HbA1c. There was no change in anthropometric and cardiovascular indices.
CONCLUSION: Adherence to 10 000 steps per day prescription is low but may still be associated with improved glycaemic control in T2DM. Motivational strategies for better adherence would improve glycaemic control. © British Journal of General Practice 2018.

Entities:  

Keywords:  Nigeria; blood glucose; general practice; physical activity; type 2 diabetes mellitus; walking

Mesh:

Substances:

Year:  2018        PMID: 29335328      PMCID: PMC5774965          DOI: 10.3399/bjgp18X694613

Source DB:  PubMed          Journal:  Br J Gen Pract        ISSN: 0960-1643            Impact factor:   5.386


  22 in total

Review 1.  Physical activity/exercise and type 2 diabetes.

Authors:  Ronald J Sigal; Glen P Kenny; David H Wasserman; Carmen Castaneda-Sceppa
Journal:  Diabetes Care       Date:  2004-10       Impact factor: 19.112

2.  Physical inactivity in Nigerian young adults: prevalence and socio-demographic correlates.

Authors:  Babatunde O A Adegoke; Adewale L Oyeyemi
Journal:  J Phys Act Health       Date:  2011-11

3.  Standards of medical care in diabetes--2013.

Authors: 
Journal:  Diabetes Care       Date:  2013-01       Impact factor: 19.112

4.  Growing healthy families: family use of pedometers to increase physical activity and slow the rate of obesity.

Authors:  Brenda L Rooney; Lisa R Gritt; Sarah J Havens; Michelle A Mathiason; Elizabeth A Clough
Journal:  WMJ       Date:  2005-07

5.  Type 2 diabetes mellitus: a review of current trends.

Authors:  Abdulfatai B Olokoba; Olusegun A Obateru; Lateefat B Olokoba
Journal:  Oman Med J       Date:  2012-07

6.  Controlled outcome evaluation of the First Step Program: a daily physical activity intervention for individuals with type II diabetes.

Authors:  C Tudor-Locke; R C Bell; A M Myers; S B Harris; N A Ecclestone; N Lauzon; N W Rodger
Journal:  Int J Obes Relat Metab Disord       Date:  2004-01

7.  Increasing daily walking improves glucose tolerance in overweight women.

Authors:  Ann M Swartz; Scott J Strath; David R Bassett; J Brian Moore; Beth A Redwine; Maureen Groër; Dixie L Thompson
Journal:  Prev Med       Date:  2003-10       Impact factor: 4.018

8.  Physical inactivity is associated with low self efficacy and social support among patients with hypertension in Nigeria.

Authors:  O A Idowu; A F Adeniyi; O J Atijosan; O O Ogwumike
Journal:  Chronic Illn       Date:  2012-11-22

9.  Physical activity, sedentary behavior, and health: paradigm paralysis or paradigm shift?

Authors:  Peter T Katzmarzyk
Journal:  Diabetes       Date:  2010-11       Impact factor: 9.461

Review 10.  How many steps/day are enough? For adults.

Authors:  Catrine Tudor-Locke; Cora L Craig; Wendy J Brown; Stacy A Clemes; Katrien De Cocker; Billie Giles-Corti; Yoshiro Hatano; Shigeru Inoue; Sandra M Matsudo; Nanette Mutrie; Jean-Michel Oppert; David A Rowe; Michael D Schmidt; Grant M Schofield; John C Spence; Pedro J Teixeira; Mark A Tully; Steven N Blair
Journal:  Int J Behav Nutr Phys Act       Date:  2011-07-28       Impact factor: 6.457

View more
  8 in total

1.  Glycaemic control among type 2 diabetes patients in sub-Saharan Africa from 2012 to 2022: a systematic review and meta-analysis.

Authors:  Jean-Pierre Fina Lubaki; Olufemi Babatunde Omole; Joel Msafiri Francis
Journal:  Diabetol Metab Syndr       Date:  2022-09-20       Impact factor: 5.395

2.  Randomised controlled trials on prevention, diagnosis and treatment of diabetes in African countries: a systematic review.

Authors:  Angelika Sabine Sandholzer-Yilmaz; Eric Sven Kroeber; Wondimu Ayele; T Frese; Eva Johanna Kantelhardt; Susanne Unverzagt
Journal:  BMJ Open       Date:  2022-05-11       Impact factor: 3.006

3.  Accelerometer- and Pedometer-Based Physical Activity Interventions Among Adults With Cardiometabolic Conditions: A Systematic Review and Meta-analysis.

Authors:  Alexander Hodkinson; Evangelos Kontopantelis; Charles Adeniji; Harm van Marwijk; Brian McMillan; Peter Bower; Maria Panagioti
Journal:  JAMA Netw Open       Date:  2019-10-02

4.  Clinical Inertia and 2-Year Glycaemic Trajectories in Patients with Non-Newly Diagnosed Type 2 Diabetes Mellitus in Primary Care: A Retrospective Cohort Study.

Authors:  Ling-Wang An; Xiang-Lan Li; Lin-Hui Chen; Hong Tang; Qun Yuan; Yan-Jun Liu; Yu Ji; Ju-Ming Lu
Journal:  Patient Prefer Adherence       Date:  2021-11-11       Impact factor: 2.711

Review 5.  Association Between Patient Factors and the Effectiveness of Wearable Trackers at Increasing the Number of Steps per Day Among Adults With Cardiometabolic Conditions: Meta-analysis of Individual Patient Data From Randomized Controlled Trials.

Authors:  Alexander Hodkinson; Evangelos Kontopantelis; Salwa S Zghebi; Christos Grigoroglou; Brian McMillan; Harm van Marwijk; Peter Bower; Dialechti Tsimpida; Charles F Emery; Mark R Burge; Hunter Esmiol; Margaret E Cupples; Mark A Tully; Kaberi Dasgupta; Stella S Daskalopoulou; Alexandra B Cooke; Ayorinde F Fayehun; Julie Houle; Paul Poirier; Thomas Yates; Joseph Henson; Derek R Anderson; Elisabeth B Grey; Maria Panagioti
Journal:  J Med Internet Res       Date:  2022-08-30       Impact factor: 7.076

6.  mHealth app using machine learning to increase physical activity in diabetes and depression: clinical trial protocol for the DIAMANTE Study.

Authors:  Adrian Aguilera; Caroline A Figueroa; Rosa Hernandez-Ramos; Urmimala Sarkar; Anupama Cemballi; Laura Gomez-Pathak; Jose Miramontes; Elad Yom-Tov; Bibhas Chakraborty; Xiaoxi Yan; Jing Xu; Arghavan Modiri; Jai Aggarwal; Joseph Jay Williams; Courtney R Lyles
Journal:  BMJ Open       Date:  2020-08-20       Impact factor: 2.692

7.  What Factors Predict the Adoption of Type 2 Diabetes Patients to Wearable Activity Trackers-Application of Diffusion of Innovation Theory.

Authors:  Ping Chen; Ying Shen; Zeming Li; Xinying Sun; Xing Lin Feng; Edwin B Fisher
Journal:  Front Public Health       Date:  2022-01-03

8.  Interventions Using Wearable Physical Activity Trackers Among Adults With Cardiometabolic Conditions: A Systematic Review and Meta-analysis.

Authors:  Alexander Hodkinson; Evangelos Kontopantelis; Charles Adeniji; Harm van Marwijk; Brian McMillian; Peter Bower; Maria Panagioti
Journal:  JAMA Netw Open       Date:  2021-07-01
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.