371 research outputs found

    Lifestyle and late life cognitive health: Sufficient evidence to act now?

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    Intense physical activity is associated with cognitive performance in the elderly

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    Numerous studies have reported positive impacts of physical activity on cognitive function. However, the majority of these studies have utilised physical activity questionnaires or surveys, thus results may have been influenced by reporting biases. Through the objective measurement of routine levels of physical activity via actigraphy, we report a significant association between intensity, but not volume, of physical activity and cognitive functioning. A cohort of 217 participants (aged 60–89 years) wore an actigraphy unit for 7 consecutive days and underwent comprehensive neuropsychological assessment. The cohort was stratified into tertiles based on physical activity intensity. Compared with individuals in the lowest tertile of physical activity intensity, those in the highest tertile scored 9%, 9%, 6% and 21% higher on the digit span, digit symbol, Rey Complex Figure Test (RCFT) copy and Rey Figure Test 30-min recall test, respectively. Statistically, participants in the highest tertile of physical activity intensity performed significantly better on the following cognitive tasks: digit symbol, RCFT copy and verbal fluency test (all P<0.05). The results indicate that intensity rather than quantity of physical activity may be more important in the association between physical activity and cognitive function

    Incidence of medication-treated depression and anxiety associated with long-term cancer, cardiovascular disease, diabetes and osteoarthritis in community-dwelling women and men

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    Background: Long-termcancer, cardiovascular disease, diabetes and osteoarthritismay increase the risk ofmentaldisorders, but which was more harmful and whether the associations differed between genders is unclear.Methods: We included 115,094 participants (54.3% women) aged 45–64 years from the 45 and Up Study whowere free of depression, anxiety, and Parkinson's disease at baseline (2006–2009). The incidence of depressionand anxiety was identified using claim databases during follow-up until December 2016. Cox regression modelswere used to examine the association of cancer, cardiovascular disease, diabetes, and osteoarthritis at baselinewith incident depression and anxiety.Findings: During a mean eight-year follow-up (958,785 person-year), the cumulative incidence of depression andanxiety was 12.5% and 5.9% in the healthy population. Hazard ratios ([HRs] (95% CI) versus healthy population)for incident depression associated with long-term cancer, cardiovascular disease, diabetes, and osteoarthritiswere 1.19 (95% CI: 1.13–1.25), 1.08 (1.00–1.16)), 1.18 (1.09–1.28), and 1.94 (1.80–2.10), respectively. The correspondingHRs (95% CIs) for incident anxiety were 1.11 (1.03–1.20), 1.26 (1.14–1.39), 1.10 (0.98–1.24), and 2.01(1.80–2.23), respectively. The positive association between cancer and incident depression was more evident inmen (HR (95% CI): 1.24 (1.13–1.35) than in women (1.14 (1.07–1.21). Long-term diabetes was an independentrisk factor for incident anxiety in men (1.21 (1.02–1.44) but not in women (1.09 (0.93–1.28)).Interpretation: Long-term osteoarthritis, cardiovascular disease, and cancer were independent risk factors for incidentdepression and anxiety in both genders with osteoarthritis having the highest relative risk

    Dietary patterns and β-amyloid deposition in aging Australian women

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    Introduction: Evidence indicates that associations between diet and Alzheimer's disease may occur through biomarker pathways such as amyloid-β (Aβ); however, few studies have investigated dietary/Aβ relationships, and no study has investigated this relationship in women.Methods: Dietary patterns were extrapolated for 115 participants from the Women's Health Aging Project. Aβ deposition was measured via in vivo F-18 florbetaben positron emission tomography scanning.Results: Participants were, on average, aged 70 years (±2.63 SD), had 13 years of education (±3.57 SD), a BMI of 28 kg/m2 (±5.46 SD), and a daily energy intake of 5161 kJ (±1679.03 SD). Four dietary patterns were identified: high fat, Mediterranean, junk food, and low fat. Adherence to the junk food diet was a significant predictor of Aβ deposition (β = .10, P = .03).Discussion: This study highlights the potential of diet to influence neurodegenerative disease and as a potential modifiable lifestyle risk factor for Alzheimer's disease

    Adherence to a Mediterranean diet and Alzheimer's disease risk in an Australian population

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    The Mediterranean diet (MeDi), due to its correlation with a low morbidity and mortality for many chronic diseases, has been widely recognised as a healthy eating model. We aimed to investigate, in a cross-sectional study, the association between adherence to a MeDi and risk for Alzheimer's disease (AD) and mild cognitive impairment (MCI) in a large, elderly, Australian cohort. Subjects in the Australian Imaging, Biomarkers and Lifestyle Study of Ageing cohort (723 healthy controls (HC), 98 MCI and 149 AD participants) completed the Cancer Council of Victoria Food Frequency Questionnaire. Adherence to the MeDi (0- to 9-point scale with higher scores indicating higher adherence) was the main predictor of AD and MCI status in multinominal logistic regression models that were adjusted for cohort age, sex, country of birth, education, apolipoprotein E genotype, total caloric intake, current smoking status, body mass index, history of diabetes, hypertension, angina, heart attack and stroke. There was a significant difference in adherence to the MeDi between HC and AD subjects (P < 0.001), and in adherence between HC and MCI subjects (P < 0.05). MeDi is associated with change in Mini-Mental State Examination score over an 18-month time period (P < 0.05) in HCs. We conclude that in this Australian cohort, AD and MCI participants had a lower adherence to the MeDi than HC participants.S Gardener, Y Gu, S R Rainey-Smith, J B Keogh, P M Clifton, S L Mathieson, K Taddei, A Mondal, V K Ward, N Scarmeas, M Barnes, K A Ellis, R Head, C L Masters, D Ames, S L Macaulay, C C Rowe, C Szoeke and R N Martins for the AIBL Research Grou

    Predictors of rapid cognitive decline in Alzheimer\u27s disease: Results from the Australian Imaging, Biomarkers and Lifestyle (AIBL) study of ageing

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    Background: The AIBL study, which commenced in November 2006, is a two-center prospective study of a cohort of 1112 volunteers aged 60+. The cohort includes 211 patients meeting NINCDS-ADRDA criteria for Alzheimer\u27s disease (AD) (180 probable and 31 possible). We aimed to identify factors associated with rapid cognitive decline over 18 months in this cohort of AD patients. Methods: We defined rapid cognitive decline as a drop of 6 points or more on the Mini-Mental State Examination (MMSE) between baseline and 18-month follow-up. Analyses were also conducted with a threshold of 4, 5, 7 and 8 points, as well as with and without subjects who had died or were too severely affected to be interviewed at 18 months and after, both including and excluding subjects whose AD diagnosis was \u27possible\u27 AD. We sought correlations between rapid cognitive decline and demographic, clinical and biological variables. Results: Of the 211 AD patients recruited at baseline, we had available data for 156 (73.9%) patients at 18 months. Fifty-one patients were considered rapid cognitive decliners (32.7%). A higher Clinical Dementia Rating scale (CDR) and higher CDR \u27sum of boxes\u27 score at baseline were the major predictors of rapid cognitive decline in this population. Furthermore, using logistic regression model analysis, patients treated with a cholinesterase inhibitor (CheI) had a higher risk of being rapid cognitive decliners, as did males and those of younger age. Conclusions: Almost one third of patients satisfying established research criteria for AD experienced rapid cognitive decline. Worse baseline functional and cognitive status and treatment with a CheI were the major factors associated with rapid cognitive decline over 18 months in this population
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