Anna M. Chudyk

Bone Health and Type 2 Diabetes Mellitus: A Systematic Review

PURPOSE To systematically review the literature related to bone health in older adults with type 2 diabetes mellitus (T2DM). METHODS We conducted a systematic review of the literature from January 2005 until February 2010, using keywords related to T2DM and bone-health imaging technology in older adults (aged ≥60 years) to search PubMed, OVID MEDLINE, Ageline, CINAHL, Embase, and PsycINFO. RESULTS We found a total of 13 studies that met the inclusion criteria for this review. The majority of the studies used dual X-ray absorptiometry (DXA) and showed either higher or similar areal bone mineral density (aBMD) for older adults with T2DM relative to healthy controls. Studies using more advanced imaging suggested that there may be differences in bone geometry between older adults with and without T2DM. CONCLUSIONS Older adults with T2DM have similar or higher aBMD at the hip relative to older adults without T2DM, despite previous literature reporting an increased risk of low-trauma fractures. Recent studies with advanced imaging have suggested that there may be differences in bone geometry between older adults with T2DM and those without. Health professionals, especially physiotherapists, should be aware of the increased risk and include assessment of fall risk factors and exercise prescription for fall prevention for older adults with T2DM.

Are we missing the sitting? Agreement between accelerometer non-wear time validation methods used with older adults’ data

Abstract We used Bland Altman plots to compare agreement between a self-report diary and five different non-wear time algorithms [an algorithm that uses ≥60 min of consecutive zeroes (Troiano) and four variations of an algorithm that uses ≥90 min of consecutive zeroes to define a non-wear period] for estimating community-dwelling older adults’ (n = 106) sedentary behaviour and wear time (min/day) as measured by accelerometry. We found that the Troiano algorithm may overestimate sedentary behaviour and wear time by ≥30 min/day. Algorithms that use ≥90 min of continuous zeroes more closely approximate participants’ sedentary behaviour and wear time. Across the self-report diary vs. ≥90 min algorithm comparisons, mean differences ranged between −4.4 to 8.1 min/day for estimates of sedentary behaviour and between −10.8 to 1.0 min/day for estimates of wear time; all 95% confidence intervals for mean differences crossed zero. We also found that 95% limits of agreement were wide for all comparisons, highlighting the large variation in estimates of sedentary behaviour and wear time. Given the importance of reducing sedentary behaviour and encouraging physical activity for older adult health, we conclude that it is critical to establish accurate approaches for measurement.