Steeves Jeremy A, Murphy Rachel A, Crainiceanu Ciprian M, Zipunnikov Vadim, Van Domelen Dane R, Harris Tamara B
Cancer Prevention Fellowship Program Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD, USA.
Laboratory of Epidemiology, and Population Sciences, Intramural Research Program, National Institute on Aging, Bethesda, MD, USA.
Prev Med Rep. 2015;2:152-157. doi: 10.1016/j.pmedr.2015.02.007.
Diabetes is associated with low levels of physical activity (PA), but detailed objective information about how PA patterns vary by diabetes definition is lacking.
PA was measured with Actigraph accelerometers in older (60+) adults from the 2003-2006 National Health and Nutrition Examination Survey (n= 1,043) and analyzed in 2014. Diabetes definition (normal glucose levels, prediabetes, diabetes) was assessed (fasting glucose, hemoglobin A1C, and self-report). Accelerometer data were used to characterize total activity counts (TAC) per day and hour-by-hour activity counts by diabetes definition. Multiple linear regression models explored the relationship between diabetes definition and TAC.
Despite similar patterns of PA, diabetes participants had significantly lower TAC compared to participants with normal glucose levels and prediabetes. Diabetes participants' activity counts per hour declined more rapidly after 12 pm, with the biggest differences between the groups occurring at 4 pm. Participants with normal glucose levels and prediabetes had similar TAC and daily PA profiles.
Our novel methodology provides information about PA patterns by diabetes definition. Significantly lower TAC in the diabetes group, their significant drop in afternoon PA, and the similarity of PA between participants with normal glucose levels and prediabetes provide insight into potential targets for intervention.
糖尿病与低水平的身体活动（PA）相关，但缺乏关于PA模式如何因糖尿病定义而异的详细客观信息。
在2003 - 2006年国家健康与营养检查调查中，使用Actigraph加速度计测量了年龄较大（60岁以上）成年人（n = 1043）的PA，并于2014年进行分析。评估糖尿病定义（正常血糖水平、糖尿病前期、糖尿病）（空腹血糖、糖化血红蛋白A₁C和自我报告）。加速度计数据用于按糖尿病定义表征每天的总活动计数（TAC）和逐小时活动计数。多元线性回归模型探讨了糖尿病定义与TAC之间的关系。
尽管PA模式相似，但与血糖水平正常和糖尿病前期的参与者相比，糖尿病参与者的TAC显著更低。糖尿病参与者每小时的活动计数在下午12点后下降得更快，两组之间的最大差异出现在下午4点。血糖水平正常和糖尿病前期的参与者的TAC和每日PA概况相似。
我们的新方法提供了按糖尿病定义的PA模式信息。糖尿病组中显著更低的TAC、他们下午PA的显著下降以及血糖水平正常和糖尿病前期参与者之间PA的相似性为干预的潜在目标提供了见解。
