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. 2012 Jul 14;35(8):1743–1745. doi: 10.2337/dc11-2321

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 Fretts 1,, Barbara V Howard 2,3, Barbara McKnight 4, Glen E Duncan 1, Shirley AA Beresford 1, Darren Calhoun 2, Andrea M Kriska 5, Kristi L Storti 5, David S Siscovick 6
PMCID: PMC3402272  PMID: 22723343

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.


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 (57). 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

graphic file with name 1743tbl1.jpg

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 (1,1013). 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.

Acknowledgments

This study was supported by the I-T32-HL07902 grant and cooperative agreement grants U01-HL41642, U01-HL41652, UL01-HL41654, U01-HL65520, and U01-HL65521 from the National Heart, Lung, and Blood Institute (Bethesda, MD).

No potential conflicts of interest relevant to this article were reported.

This work comprises the contribution of nine authors. A.M.F. was responsible for developing the research question of interest and performing the literature review and data analysis for the project, as well as writing the manuscript. B.V.H. and D.S.S. were the senior investigators on the project. They supervised all activities and aided in all aspects of the project, including development of the research question and writing the manuscript. G.E.D. and S.A.A.B. participated in all analyses and writing of the manuscript. B.M. was the biostatistician on the project and supervised the statistical methods of the manuscript as well as reviewed all drafts of the manuscript. A.M.K. and K.L.S. were involved in the implementation of the pedometers used in the study and reviewed and edited all drafts of the manuscript. D.C. reviewed and edited all drafts of the manuscript and helped write the results and CONCLUSIONS sections of the manuscript. A.M.F. is the guarantor of this work and, as such, had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.

The authors acknowledge the assistance and cooperation of the participating tribes, the Indian Health Service hospitals and clinics at each center, and the SHS/SHFS staff.

Footnotes

The opinions expressed in this article are those of the authors and do not necessarily reflect the views of the Indian Health Service.

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