Literature DB >> 22723343

Modest levels of physical activity are associated with a lower incidence of diabetes in a population with a high rate of obesity: the strong heart family study.

Amanda M Fretts1, Barbara V Howard, Barbara McKnight, Glen E Duncan, Shirley A A Beresford, Darren Calhoun, Andrea M Kriska, Kristi L Storti, David S Siscovick.   

Abstract

OBJECTIVE: To examine the association of objectively measured participation in low levels of physical activity with incident type 2 diabetes. RESEARCH DESIGN AND METHODS: The study population included participants free of diabetes and cardiovascular disease at baseline (n = 1,826) who participated in a follow-up examination. Generalized estimating equations were used to examine the association of steps per day with incident diabetes.
RESULTS: During 5 years of follow-up, 243 incident cases of diabetes were identified. When compared with participants in the lowest quartile of steps per day (<3,500 steps), participants in the upper three quartiles of steps per day had lower odds for diabetes, consistent with a threshold effect. Contrasting the three upper quartiles with the lowest quartile, the odds ratio of diabetes was 0.71 (95% CI 0.51-0.98).
CONCLUSIONS: Modest levels of physical activity are associated with a lower risk of incident diabetes, compared with lower levels of activity.

Entities:  

Mesh:

Year:  2012        PMID: 22723343      PMCID: PMC3402272          DOI: 10.2337/dc11-2321

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


Guidelines recommend accumulating 10,000 steps per day as part of a healthy lifestyle (1,2). However, it is not known whether participating in more modest levels of activity is associated with a lower risk of diabetes in a high-risk, relatively inactive population. The purpose of this study was to assess the relationship of pedometer-determined steps per day with incident diabetes among American Indians (AIs) who participated in the Strong Heart Family Study (SHFS), a population with a high prevalence of obesity, low physical activity levels, and a high burden of diabetes.

RESEARCH DESIGN AND METHODS

The SHFS is a population-based longitudinal study of cardiovascular disease in 13 AI communities in Arizona, North Dakota, South Dakota, and Oklahoma. Details of the study design have been described previously (3). We excluded SHFS participants who had diabetes at the baseline examination in 2001–2003 and those without a follow-up examination in 2007–2009. Additionally, we excluded those with a history of myocardial infarction, stroke, or heart failure and those who were pregnant, because these conditions may influence activity and diabetes risk. Participants missing baseline glucose measures, family information, <18 or ≥75 years of age, or who had less than 3 days of pedometer data were also excluded. In total, 1,826 individuals comprised the study population. Accusplit AE120 pedometers (Livermore, CA) were used to measure the number of steps taken per day (4). These pedometers have known reliability and validity (5–7). Participants wore the pedometer on the hip during waking hours for 7 consecutive days, except while bathing or swimming (8). Incident diabetes was defined based on 2003 American Diabetes Association criteria. The primary measure of physical activity used was the average steps per day during the time the pedometer was worn. Generalized estimating equations (GEE) with an independence working correlation structure and robust standard errors were used to examine the association of pedometer-determined steps per day with the risk of diabetes. Statistical analyses were conducted using STATA version 9.0 (Stata, College Station, TX). We computed the odds ratio and 95% CI for developing diabetes using GEE. Odds ratios (95% CI) were calculated using participants in the lowest quartile of steps per day as the referent group, after adjusting for confounding factors.

RESULTS

The study population included 1,149 (62.9%) women, and the median age at baseline examination was 37.6 years (range 18.7–74.9). The median BMI was 32.0 kg/m2 (16.6–68.7). There were 178 (9.7%) participants with prediabetes at baseline. Mean steps per day decreased with age, and men had higher step counts than women. The median steps per day for participants aged <55 years were 6,696 for men and 4,770 for women. Among participants aged ≥55 years, median steps per day were 5,513 for men and 3,452 for women. Moreover, in this population without major morbidity, physical inactivity was common in all age groups. Approximately 26% of participants aged <30 accumulated <3,500 steps/day, 25% of participants aged 30–49 years accumulated fewer than 3,500 steps/day, and 35% of participants aged 50+ accumulated <3,500 steps/day. During follow-up, diabetes developed in 243 participants. Compared with individuals in the lowest quartile of steps per day, the odds ratio for diabetes among those in the steps per day category “3,500–5,399 steps/day” was 0.76 (95% CI 0.53–1.11), after adjustment for confounders. Likewise, the odds ratios comparing “5,400–7,799 steps/day” and “7,800+ steps/day” with those who accumulated “<3,500 steps/day” were 0.74 (0.49–1.13) and 0.77 (0.51–1.16), respectively. These data are most consistent with a threshold effect within the first quartile of steps per day. Contrasting the three upper quartiles with the lowest quartile, the odds ratio for diabetes after adjustment for confounders was 0.71 (0.51–0.98). Adjustment for BMI attenuated the odds ratios (Table 1).
Table 1

Odds ratio (95% CI) of type 2 diabetes according to steps per day

Odds ratio (95% CI) of type 2 diabetes according to steps per day

CONCLUSIONS

The results from this analysis in an obese and relatively inactive population indicate that modest amounts of objectively measured steps per day are associated with a lower odds of developing diabetes. The odds ratios for the association of physical activity with diabetes were similar among the upper three steps-per-day quartiles. Participants who took at least 3,500 steps/day had a 29% lower odds of developing diabetes compared with more sedentary participants. We assessed previously the relationship of self-reported participation in moderate-to-high intensity leisure-time or occupational activities on the incidence of diabetes among middle-aged or older AIs. In the earlier report, when compared with less active participants, those who reported any moderate-to-high intensity leisure-time or occupational activity had a 33% lower odds of incident diabetes (9), and there was no evidence that more activity was better than less activity. Thus, both studies support a benefit associated with participation in modest levels of physical activity on risk of diabetes in an inactive population. Several studies suggest that individuals who accumulate 10,000 steps per day have a decreased risk of obesity and better glucose tolerance compared with individuals who accumulate fewer steps (1,10–13). However, health benefits do not appear to be limited to only the most active individuals; certain health benefits may be achieved by adding as little as 2,500 steps per day to baseline activity (1,11,13,14). Our analyses complement such findings and indicate that even modest amounts of activity are associated with lower odds of developing diabetes. Observed odds ratios were attenuated after additional adjustment for baseline BMI. This attenuation may be because of confounding by the independent effects of obesity on physical activity and diabetes risk or because of the role of obesity as a mediator. Unfortunately, we cannot differentiate between potential confounding and mediation by BMI in this analysis. Additionally, because diabetes in this cohort is not rare (13% of cohort developed diabetes during follow-up), reported odds ratios may not accurately estimate hazard ratios. The results of this study demonstrate that physical activity of 3,500 or greater steps per day is associated with a lower risk of incident diabetes, compared with lower levels of activity; above 3,500 steps/day, more was not better than less activity. This study identifies physical inactivity as an important factor related to diabetes and suggests the need for physical activity education and outreach programs that target inactive individuals, particularly AIs who have epidemic rates of obesity, physical inactivity, and type 2 diabetes.
  14 in total

1.  Accuracy and reliability of 10 pedometers for measuring steps over a 400-m walk.

Authors:  Patrick L Schneider; Scott E Crouter; Olivera Lukajic; David R Bassett
Journal:  Med Sci Sports Exerc       Date:  2003-10       Impact factor: 5.411

2.  Objective assessment of activity in older adults at risk for mobility disability.

Authors:  Anthony P Marsh; Rachel M Vance; Tera L Frederick; Sarah A Hesselmann; W Jack Rejeski
Journal:  Med Sci Sports Exerc       Date:  2007-06       Impact factor: 5.411

3.  Physical activity and incident diabetes in American Indians: the Strong Heart Study.

Authors:  Amanda M Fretts; Barbara V Howard; Andrea M Kriska; Nicolas L Smith; Thomas Lumley; Elisa T Lee; Marie Russell; David Siscovick
Journal:  Am J Epidemiol       Date:  2009-07-21       Impact factor: 4.897

4.  Comparison of pedometer and accelerometer measures of free-living physical activity.

Authors:  Catrine Tudor-Locke; Barbara E Ainsworth; Raymond W Thompson; Charles E Matthews
Journal:  Med Sci Sports Exerc       Date:  2002-12       Impact factor: 5.411

5.  Increasing daily walking lowers blood pressure in postmenopausal women.

Authors:  K L Moreau; R Degarmo; J Langley; C McMahon; E T Howley; D R Bassett; D L Thompson
Journal:  Med Sci Sports Exerc       Date:  2001-11       Impact factor: 5.411

6.  Preliminary outcome evaluation of the First Step Program: a daily physical activity intervention for individuals with type 2 diabetes.

Authors:  Catrine E Tudor-Locke; Anita M Myers; Rhonda C Bell; Stewart B Harris; N Wilson Rodger
Journal:  Patient Educ Couns       Date:  2002-05

7.  Physical activity levels in American-Indian adults: the Strong Heart Family Study.

Authors:  Kristi L Storti; Vincent C Arena; M Michael Barmada; Clareann H Bunker; Robert L Hanson; Sandra L Laston; Jeun-Liang Yeh; Joseph M Zmuda; Barbara V Howard; Andrea M Kriska
Journal:  Am J Prev Med       Date:  2009-12       Impact factor: 5.043

8.  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

Review 9.  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

10.  Effects of long-term moderate exercise and increase in number of daily steps on serum lipids in women: randomised controlled trial [ISRCTN21921919].

Authors:  Hiroko Sugiura; Haruo Sugiura; Kazue Kajima; Seyed Mohammad Mirbod; Hirotoshi Iwata; Toshio Matsuoka
Journal:  BMC Womens Health       Date:  2002       Impact factor: 2.809

View more
  15 in total

Review 1.  Exercise and metabolic health: beyond skeletal muscle.

Authors:  John P Thyfault; Audrey Bergouignan
Journal:  Diabetologia       Date:  2020-06-11       Impact factor: 10.122

2.  Physical activity and sedentary behaviors associated with risk of progression from gestational diabetes mellitus to type 2 diabetes mellitus: a prospective cohort study.

Authors:  Wei Bao; Deirdre K Tobias; Katherine Bowers; Jorge Chavarro; Allan Vaag; Louise Groth Grunnet; Marin Strøm; James Mills; Aiyi Liu; Michele Kiely; Cuilin Zhang
Journal:  JAMA Intern Med       Date:  2014-07       Impact factor: 21.873

3.  Processed Meat, but Not Unprocessed Red Meat, Is Inversely Associated with Leukocyte Telomere Length in the Strong Heart Family Study.

Authors:  Amanda M Fretts; Barbara V Howard; David S Siscovick; Lyle G Best; Shirley Aa Beresford; Mihriye Mete; Sigal Eilat-Adar; Nona Sotoodehnia; Jinying Zhao
Journal:  J Nutr       Date:  2016-08-24       Impact factor: 4.798

4.  Moderate physical activity reduces 10-year diabetes incidence: the mediating role of oxidative stress biomarkers.

Authors:  Efi Koloverou; Konstantinos Tambalis; Demosthenes B Panagiotakos; Ekavi Georgousopoulou; Christina Chrysohoou; Ioannis Skoumas; Dimitrios Tousoulis; Christodoulos Stefanadis; Christos Pitsavos
Journal:  Int J Public Health       Date:  2017-11-11       Impact factor: 3.380

5.  Lifestyle habits and obesity progression in overweight and obese American young adults: Lessons for promoting cardiometabolic health.

Authors:  EunSeok Cha; Margeaux K Akazawa; Kevin H Kim; Colleen R Dawkins; Hannah M Lerner; Guillermo Umpierrez; Sandra B Dunbar
Journal:  Nurs Health Sci       Date:  2015-06-18       Impact factor: 1.857

6.  Red meat consumption and cardiovascular target organ damage (from the Strong Heart Study).

Authors:  Bernhard Haring; Wenyu Wang; Amanda Fretts; Daichi Shimbo; Elisa T Lee; Barbara V Howard; Mary J Roman; Richard B Devereux
Journal:  J Hypertens       Date:  2017-09       Impact factor: 4.844

7.  Small sustainable monetary incentives versus charitable donations to promote exercise: Rationale, design, and baseline data from a randomized pilot study.

Authors:  David M Williams; Harold H Lee; Lauren Connell; Holly Boyle; Jessica Emerson; Kelley Strohacker; Omar Galárraga
Journal:  Contemp Clin Trials       Date:  2018-01-31       Impact factor: 2.226

8.  Prevalence of Prediabetes Among Adolescents and Young Adults in the United States, 2005-2016.

Authors:  Linda J Andes; Yiling J Cheng; Deborah B Rolka; Edward W Gregg; Giuseppina Imperatore
Journal:  JAMA Pediatr       Date:  2020-02-03       Impact factor: 16.193

9.  Association of global DNA methylation and global DNA hydroxymethylation with metals and other exposures in human blood DNA samples.

Authors:  Maria Tellez-Plaza; Wan-Yee Tang; Yan Shang; Jason G Umans; Kevin A Francesconi; Walter Goessler; Marta Ledesma; Montserrat Leon; Martin Laclaustra; Jonathan Pollak; Eliseo Guallar; Shelley A Cole; M Dani Fallin; Ana Navas-Acien
Journal:  Environ Health Perspect       Date:  2014-04-25       Impact factor: 9.031

10.  Niacin increased glucose, insulin, and C-peptide levels in sedentary nondiabetic postmenopausal women.

Authors:  Yunsuk Koh; Heidi Bidstrup; David L Nichols
Journal:  Int J Womens Health       Date:  2014-10-23
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.