Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands; Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.
Decreased glomerular filtration rate (GFR) and albuminuria may be accompanied by brain pathology. Here we investigated whether changes in these kidney measures are linked to development of new MRI-detected infarcts and microbleeds, and progression of white matter hyperintensity volume. The study included 2671 participants from the population-based AGES-Reykjavik Study (mean age 75, 58.7% women). GFR was estimated from serum creatinine, and albuminuria was assessed by urinary albumin-to-creatinine ratio. Brain MRI was acquired at baseline (2002-2006) and 5 years later (2007-2011). New MRI-detected infarcts and microbleeds were counted on the follow-up scans. White matter hyperintensity progression was estimated as percent change in white matter hyperintensity volumes between the two exams. Participants with a large eGFR decline (over 3 ml/min/1.73m2 per year) had more incident subcortical infarcts (odds ratio 1.53; 95% confidence interval 1.05, 2.22), and more marked progression of white matter hyperintensity volume (difference: 8%; 95% confidence interval: 4%, 12%), compared to participants without a large decline. Participants with incident albuminuria (over 30 mg/g) had 21% more white matter hyperintensity volume progression (95% confidence interval: 14%, 29%) and 1.86 higher odds of developing new deep microbleeds (95% confidence interval 1.16, 2.98), compared to participants without incident albuminuria. The findings were independent of cardiovascular risk factors. Changes in kidney measures were not associated with occurrence of cortical infarcts. Thus, larger changes in eGFR and albuminuria are associated with increased risk for developing manifestations of cerebral small vessel disease. Individuals with larger changes in these kidney measures should be considered as a high risk population for accelerated brain pathology.
In Iceland, there is a large variation in daylight between summer and winter. The aim of the study was to identify how this large variation influences physical activity (PA) and sedentary behavior (SB). Free living PA was measured by a waist-worn accelerometer for one week during waking hours in 138 community-dwelling older adults (61.1% women, 80.3 ± 4.9 years) during summer and winter months. In general, SB occupied about 75% of the registered wear-time and was highly correlated with age (ß = 0.36). Although the differences were small, more time was spent during the summer in all PA categories, except for the moderate-to-vigorous PA (MVPA), and SB was reduced. More lifestyle PA (LSPA) was accumulated in =5-min bouts during summer than winter, especially among highly active participants. This information could be important for policy makers and health professionals working with older adults. Accounting for seasonal difference is necessary in analyzing SB and PA data.
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To describe medication use among older community-dwelling Icelanders by collecting information on number of medicine, polypharmacy (>5 medications), and medications by ATC categories. Moreover, to explore the relationship between medication use and various influential factors emphasizing residency in urban and rural areas.
Population-based, cross-sectional study. Participants were randomly selected from the National registry in one urban (n=118) and two rural (n=68) areas.
1) = 65 years old, 2) community-dwelling, 3) able to communicate verbally. Information on medication use was obtained from each person's medication list and interviews. A questionnaire and five standardized instruments were used to assess the potential influencing factors.
On average, participants used 3.9 medications and prevalence of polypharmacy was 41%. Men used 3.5 medications on average and women 4.4 (p=0.018). Compared to rural residents, urban residents had fewer medical diagnoses, better mobility, less pain, and fewer depressive symptoms. By controlling for the effects of these variables, more medications were associated with urban living (p
objectively measured population physical activity (PA) data from older persons is lacking. The aim of this study was to describe free-living PA patterns and sedentary behaviours in Icelandic older men and women using accelerometer.
from April 2009 to June 2010, 579 AGESII-study participants aged 73-98 years wore an accelerometer (Actigraph GT3X) at the right hip for one complete week in the free-living settings.
in all subjects, sedentary time was the largest component of the total wear time, 75%, followed by low-light PA, 21%. Moderate-vigorous PA (MVPA) was
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To study how selected indicators of socioeconomic status and urban-rural residency associate with medication use in form of number of daily medications, polypharmacy, and medication use according to Anatomic Therapeutic Classification (ATC) system.
Cross-sectional, population-based study among older community-dwelling Icelanders. Criteria for participation were: age =65 years, community-dwelling, and able to communicate verbally and to set up a time for a face-to-face interview. Information on medication use was obtained by interviews and by examining each person's medication record. Medications were categorised according to ATC system. A questionnaire and the physical and mental health summary scales of SF-36 Health Survey were used to assess potential influential factors associated with medication use.
On average, participants (n=186) used 3.9 medications, and the prevalence of polypharmacy was 41%. No indicators of socioeconomic status had significant association to any aspects of medication use. Compared to urban residents, rural residents had more diagnosed diseases, were less likely to live alone, were less likely to report having adequate income, and had fewer years of education. Controlling for these differences, urban people were more likely to use medication from the B and C categories. Moreover, older urban men, with worse physical health, and greater number of diagnosed diseases used more medications from the B category.
There are unexplained regional differences in medications use, from categories B and C, by older Icelanders. Further studies are needed on why urban residents used equal number of medications, or even more medications, compared to rural residents, despite better socioeconomic status and fewer diagnosed diseases.