IntroductionThe aim of this study was to describe the relationship between accelerometer‐determined physical activity (PA), muscle mass, and lower‐limb strength in community‐dwelling older adults.MethodsSix hundred thirty‐six community‐dwelling older adults (66 ± 7 years) were studied. Muscle mass was measured using dual‐energy x‐ray absorptiometry, whilst lower limb strength was measured via dynamometry. We measured minutes/day spent in sedentary, light, moderate, and vigorous intensity activity using Actigraph GT1M accelerometers.ResultsParticipants spent a median of 583(Interquartile ratio (IQR) 522–646), 225(176–271), 27(12–45) and 0(0–0) min in sedentary, light, moderate, and vigorous activity, respectively. PA intensity was positively associated with both lean mass percentage and lower limb strength in a dose–response fashion. Sedentary activity was negatively associated with lean mass percentage, but not lower‐limb strength. There was a positive association between PA and appendicular lean mass in men only. There was an interaction between age and activity; as age increased, the magnitude of the association of PA with lean mass percentage decreased. Those who adhered to the Australian Department of Health PA guidelines (moderate/vigorous PA >/=150 min/week) had greater lean mass percentage, appendicular lean mass, and lower limb strength.ConclusionsUsing accelerometer technology, both the amount and intensity of accelerometer‐determined PA had an independent, dose–response relationship with lean mass percentage and lower limb strength, with the largest effect for vigorous activity. Time spent in sedentary activity was negatively associated with lean mass percentage, but was not associated with lower limb strength. The magnitude of the association between PA and lean mass percentage decreased with age, suggesting that PA programmes may need to be modified with increasing age.

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The objective of this article is to investigate the potential role of mobile phones as a reservoir for bacterial colonization and the risk factors for bacterial colonization in a hospital setting. We screened 226 staff members at a regional Australian hospital (146 doctors and 80 medical students) between January 2013 and March 2014. The main outcomes of interest were the types of microorganisms and the amount of contamination of the mobile phones. This study found a high level of bacterial contamination (n = 168/226, 74%) on the mobile phones of staff members in a tertiary hospital, with similar organisms isolated from the staff member's dominant hand and mobile phones. While most of the isolated organisms were normal skin flora, a small percentage were potentially pathogenic (n = 12/226, 5%). Being a junior medical staff was found to be a risk factor for heavy microbial growth (OR 4.00, 95% CI 1.54, 10.37). Only 31% (70/226) of our participants reported cleaning their phones routinely, and only 21% (47/226) reported using alcohol containing wipes on their phones. This study demonstrates that mobile phones are potentially vehicles for pathogenic bacteria in a hospital setting. Only a minority of our participants reported cleaning their phones routinely. Disinfection guidelines utilizing alcohol wipes should be developed and implemented.

IntroductionThere is increasing evidence to suggest that bone marrow lesions (BMLs) play a key role in the pathogenesis of osteoarthritis (OA). However, there is a lack of long term data. The aim of this study was to describe the natural history of knee BMLs, their association with knee pain and examine predictors of BML change over eight years.MethodsA total of 198 subjects (109 adult offspring of subjects who had a knee replacement and 89 community-based controls) were studied. Knee pain and BML size were assessed at two and ten year visits.ResultsAt the two year visit, 64% of participants (n = 127) had 229 BMLs (34% patella, 26% femoral and 40% tibial). Over eight years, 24% (55/229) increased in size, 55% (125/229) remained stable and 21% (49/229) decreased in size or resolved completely. Of the participants without BMLs at baseline, 52% (37/71) developed incident BMLs.After adjusting for confounders, eight year change in total BML size was associated with change in knee pain in offspring (β = 2.50, 95% confidence interval (CI) 0.96 to 4.05) but not controls. This association was stronger in males. Incident BMLs were associated with increase in pain (β = 3.60, 95% CI 1.14 to 6.05). Body mass index (BMI) and strenuous activity (but not radiographic osteoarthritis or smoking) were associated with an increase in BML size.ConclusionIn this midlife cohort, the proportion of BMLs increasing in size was similar to those decreasing in size with the majority remaining stable. Change in BMLs was predicted by BMI and strenuous activity. An increase in BML size or a new BML resulted in an increase in pain especially in males and those with a family history of OA.