Adherence to physical exercise recommendations in people over 65--The SNAC-Kungsholmen study

Rydwik, Elisabeth; Welmer, Anna-Karin; Kåreholt, Ingemar; Angleman, Sara; Fratiglioni, Laura; Wang, Huixin

doi:10.1093/eurpub/cks150

Cited by 55 publications

(47 citation statements)

References 29 publications

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“…Research on older adults has linked participation in physical activity to improved physical (Rydwik et al, 2013, Haskell et al, 2007, mental (Chodzko-Zajko et al, 2009) and social health (Toepoel, 2012). Furthermore, regular physical activity can also prevent or delay the onset of many chronic conditions, such as cardiovascular disease or diabetes (Haskell et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Are they ‘worth their weight in gold’? Sport for older adults: benefits and barriers of their participation for sporting organisations

Jenkin

Eime

Westerbeek

et al. 2016

International Journal of Sport Policy and Politics

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The ageing global population has led to an increased focus on health for older adults. However, older adults have not been a specific priority for some sporting organisations. Thus there is an emerging opportunity for this age group to be considered within international sport policy. The aim of this study was to understand the benefits and barriers that sporting organisations encounter when engaging older adults. Eight focus group interviews (n=49) were held with representatives of Australian National Sporting Organisations, and older adults who were either sport club or non-sport club members. The socio-ecological model domains: interpersonal; organisational; and policy, were used as a framework for thematic analysis, and organisational capacity building concepts were utilised to explain the findings. Common perceived benefits included interpersonal benefits (intergenerational opportunities; role models) and organisational benefits (volunteering; financial contributions; maximised facility usage) for engaging older adults. Common perceived barriers included interpersonal barriers (competing priorities; perceived societal expectations), organisational barriers (lack of appropriate playing opportunities; lack of facility access; lack of club capacity), and policy barriers (strategic organisational focus on children and elite sport; risk management). Whilst participation in sport is not common for older adults, their involvement can be invaluable for sport clubs. It is not anticipated that any policy focus on older adults will significantly increase active participation for this age group.However, any increase in older adults' sport participation either through actively playing, supporting 2 family and friends and/or volunteering, will contribute to the positive health of individuals, sport clubs and the community.

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Section: Introductionmentioning

confidence: 99%

Are they ‘worth their weight in gold’? Sport for older adults: benefits and barriers of their participation for sporting organisations

Jenkin

Eime

Westerbeek

et al. 2016

International Journal of Sport Policy and Politics

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“…The study sample was from the population-based Swedish National Study on Aging and Care in Kungsholmen (SNAC-K), as described in detail elsewhere. 10,11 Briefly, the SNAC-K population consisted of an age-stratified random sample of people who were aged 60 years and older, living at home or in institutions in the Kungsholmen district of Stockholm. The sample included 4 younger age groups, with a 6-year interval (60, 66, 72, and 78 years) and 7 older age groups, with a 3-year interval (81, 84, 87, 90, 93, 96, and 991 years).…”

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confidence: 99%

“…At baseline, we collected data on age, sex, education, lifestyles (e.g., smoking, alcohol consumption), medical history (e.g., hypertension, diabetes), and current use of medications (e.g., antihypertensive drugs) through interviews by nurses and physicians. 10,11 We categorized educational level into elementary school, high school, or university. 10 We recorded smoking status as never, former, or current smoking.…”

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confidence: 99%

“…10,11 We categorized educational level into elementary school, high school, or university. 10 We recorded smoking status as never, former, or current smoking. 11 We assessed and classified alcohol consumption into no or occasional, light to moderate, or heavy drinking.…”

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confidence: 99%

“…11 We categorized physical activity into inactivity or health-/fitnessenhancing activities. 10 We defined obesity as a body mass index $30 kg/m 2 , 11 hypertension as blood pressure $140/90 mm Hg or current use of antihypertensive agents, 15 diabetes as having a self-reported history of diabetes, records in the inpatient register, use of hypoglycemic agents, or hemoglobin A1c $6.5%, 16,17 and high cholesterol as nonfasting total cholesterol $6.22 mmol/L or use of cholesterol-lowering agents, and borderline high cholesterol as total cholesterol 5.18 to 6.21 mmol/L and no use of cholesterol-lowering agents. 18 We categorized the APOE gene as carriers or noncarriers of the e4 allele.…”

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confidence: 99%

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Effects of vascular risk factors and APOE ε4 on white matter integrity and cognitive decline

et al. 2015

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Objective: To investigate the effects of vascular risk factors and APOE status on white matter microstructure, and subsequent cognitive decline among older people.Methods: This study included 241 participants (age 60 years and older) from the populationbased Swedish National Study on Aging and Care in Kungsholmen in central Stockholm, Sweden, who were free of dementia and stroke at baseline (2001)(2002)(2003)(2004). We collected data through interviews, clinical examinations, and laboratory tests. We measured fractional anisotropy (FA) and mean diffusivity (MD) on diffusion tensor imaging, and estimated volume of white matter hyperintensities using automatic segmentation. We assessed global cognitive function with the Mini-Mental State Examination at baseline and at 3-and/or 6-year follow-up. We analyzed the data using multivariate linear regression and linear mixed models.Results: Heavy alcohol consumption, hypertension, and diabetes were significantly associated with lower FA or higher MD (p , 0.05). When aggregating heavy alcohol consumption, hypertension, and diabetes together with current smoking, having an increasing number of these 4 factors concurrently was associated with decreasing FA and increasing MD (p trend , 0.01), independent of white matter hyperintensities. Vascular risk factors and APOE e4 allele interacted to negatively affect white matter microstructure; having multiple ($2) vascular factors was particularly detrimental to white matter integrity among APOE e4 carriers. Lower tertile of FA and upper tertile of MD were significantly associated with faster Mini-Mental State Examination decline.Conclusions: Vascular risk factors are associated with reduced white matter integrity among older adults, which subsequently predicted faster cognitive decline. The detrimental effects of vascular risk factors on white matter microstructure were exacerbated among APOE e4 carriers. Neurology ® 2015;84:1128-1135 GLOSSARY DTI 5 diffusion tensor imaging; FA 5 fractional anisotropy; MD 5 mean diffusivity; MMSE 5 Mini-Mental State Examination; SNAC-K 5 Swedish National Study on Aging and Care in Kungsholmen; WMH 5 white matter hyperintensity.Population-based studies have linked some individual vascular risk factors (e.g., hypertension and diabetes) to reduced microstructural white matter integrity.1-3 However, few studies have explored the relationship of clustering vascular risk factors to white matter microstructure. This is important because vascular factors often occur concurrently in older people. Moreover, as white matter hyperintensities (WMH) and reduced white matter microstructure may share a common ischemic origin, it is of interest to explore whether associations between vascular risk factors and lower microstructural white matter integrity are independent of WMH.Vascular risk factors contribute to cognitive decline in aging, but the mechanisms are poorly understood. 4 One possibility is that vascular risk factors may cause cognitive decline by conferring detrimental impact on white matter mi...

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Association of diabetes with stroke and post‐stroke dementia: A population‐based cohort study

Shang

Fratiglioni

Marseglia

et al. 2020

Alzheimer's & Dementia

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IntroductionThe impact of prediabetes and diabetes on stroke and the development of dementia after a stroke remain unclear.MethodsA total of 2655 dementia‐free participants (including a stroke‐free cohort and a prevalent stroke cohort) were followed‐up for 12 years. Dementia and post‐stroke dementia were determined by clinical examinations and national registry data. Diabetes was ascertained via medical examination, medication use, medical records, or glycated hemoglobin (HbA1c) ≥6.5%. Prediabetes was defined as HbA1c ≥5.7% in diabetes‐free participants.ResultsIn the stroke‐free cohort, 236 participants developed ischemic stroke, and 47 developed post‐stroke dementia. Diabetes was associated with ischemic stroke (hazard ratio [HR] 1.76, 95% confidence interval [CI] 1.16 to 2.67) and post‐stroke dementia (HR 2.56, 95% CI 1.04 to 6.25). In the prevalent stroke cohort, diabetes was also related to dementia risk. Prediabetes was not significantly related to stroke or post‐stroke dementia.DiscussionDiabetes, but not prediabetes, is associated with an increased risk of ischemic stroke and post‐stroke dementia.

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Adherence to physical exercise recommendations in people over 65--The SNAC-Kungsholmen study

Abstract: Promoting physical exercise and encouraging participation among older adults with lower education, especially among those with initial functional decline, may help to reduce adverse health outcomes.

Cited by 55 publications

References 29 publications

Are they ‘worth their weight in gold’? Sport for older adults: benefits and barriers of their participation for sporting organisations

Are they ‘worth their weight in gold’? Sport for older adults: benefits and barriers of their participation for sporting organisations

Effects of vascular risk factors and APOE ε4 on white matter integrity and cognitive decline

Association of diabetes with stroke and post‐stroke dementia: A population‐based cohort study

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