188 research outputs found

    Exploring patterns of response across the lifespan: the Cambridge Centre for Ageing and Neuroscience (Cam-CAN) study

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    Abstract Background With declining rates of participation in epidemiological studies there is an important need to attempt to understand what factors might affect response. This study examines the pattern of response at different adult ages within a contemporary cross-sectional population-based cohort, the Cambridge Centre for Ageing and Neuroscience (Cam-CAN). Methods Using logistic regression, we investigated associations between age, gender and Townsend deprivation level for both participants and non-participants. Weighted estimates of the odds ratios with confidence intervals for each demographic characteristic were calculated. Reasons given for refusal were grouped into three broad categories: ‘active’, ‘passive’ and illness preventing interview. Results An association of age and participation was found, with individuals in middle age groups more likely to participate (age group 48–57 OR: 1.8, 95% CI: 1.5–2.2 and age group 58–67 OR: 2.1, 95% CI: 1.7–2.4). Overall, there was no difference in participation between men and women. An association with deprivation was found, with those living in the most deprived areas being the least willing to participate (fifth quintile OR: 0.6, 95% CI: 0.5–0.7). An interaction between age and gender was found whereby younger women and older men were more likely to agree to participate (p = 0.01). Conclusion Our findings highlight some of the factors affecting recruitment into epidemiological studies in the UK and suggest that targeted age-specific recruitment strategies might be needed to increase participation rates in future cohort investigations

    Who Lives Where and Does It Matter? Changes in the Health Profiles of Older People Living in Long Term Care and the Community over Two Decades in a High Income Country.

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    BACKGROUND: There have been fundamental shifts in the attitude towards, access to and nature of long term care in high income countries. The proportion and profile of the older population living in such settings varies according to social, cultural, and economic characteristics as well as governmental policies. Changes in the profiles of people in different settings are important for policy makers and care providers. Although details will differ, how change occurs across time is important to all, including lower and middle income countries developing policies themselves. Here change is examined across two decades in England. METHODS AND FINDINGS: Using the two Cognitive Function and Ageing Studies (CFAS I: 77% response, CFAS II: 56% response), two population based studies of older people carried out in the same areas conducted two decades apart, the study diagnosis of dementia using the Automated Geriatric Examination for Computer Assisted Taxonomy, health and wellbeing were examined, focusing on long term care. The proportion of individuals with three or more health conditions increased for everyone living in long term care between CFAS I (47.6%, 95% CI: 42.3-53.1) and CFAS II (62.7%, 95% CI: 54.8-70.0) and was consistently higher in those without dementia compared to those with dementia in both studies. Functional impairment measured by activities of daily living increased in assisted living facilities from 48% (95% CI: 44%-52%) to 67% (95% CI: 62%-71%). CONCLUSIONS: Health profiles of residents in long term care have changed dramatically over time. Dementia prevalence and reporting multiple health conditions have increased. Receiving care in the community puts pressure on unpaid carers and formal services; these results have implications for policies about supporting people at home as well as for service provision within long term care including quality of care, health management, cost, and the development of a skilled, caring, and informed workforce.CFAS II has been funded through a grant from the Medical Research Council (grant number G0601022). CFAS I was also funded through the Medical Research Council (grant number G9901400).This is the final version of the article. It first appeared from PLOS at http://dx.doi.org/10.1371/journal.pone.0161705

    The contribution of multiple long-term conditions to widening inequalities in disability-free life expectancy over two decades: Longitudinal analysis of two cohorts using the Cognitive Function and Ageing Studies.

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    BACKGROUND: : Disability-free life expectancy (DFLE) inequalities by socioeconomic deprivation are widening, alongside rising prevalence of multiple long-term conditions (MLTCs). We use longitudinal data to assess whether MLTCs contribute to the widening DFLE inequalities by socioeconomic deprivation. METHODS: : The Cognitive Function and Ageing Studies (CFAS I and II) are large population-based studies of those ≥65 years, conducted in three areas in England. Baseline occurred in 1991 (CFAS I, n=7635) and 2011 (CFAS II, n=7762) with two-year follow-up. We defined disability as difficulty in activities of daily living, MLTCs as the presence of at least two of nine health conditions, and socioeconomic deprivation by area-level deprivation tertiles. DFLE and transitions between disability states and death were estimated from multistate models. FINDINGS: : For people with MLTCs, inequalities in DFLE at age 65 between the most and least affluent widened to around 2.5 years (men:2.4 years, 95% confidence interval (95%CI) 0.4-4.4; women:2.6 years, 95%CI 0.7-4.5) by 2011. Incident disability reduced for the most affluent women (Relative Risk Ratio (RRR):0.6, 95%CI 0.4-0.9), and mortality with disability reduced for least affluent men (RRR:0.6, 95%CI 0.5-0.8). MLTCs prevalence increased only for least affluent men (1991: 58.8%, 2011: 66.9%) and women (1991: 60.9%, 2011: 69.1%). However, DFLE inequalities were as large in people without MLTCs (men:2.4 years, 95%CI 0.3-4.5; women:3.1 years, 95% CI 0.8-5.4). INTERPRETATION: : Widening DFLE inequalities were not solely due to MLTCs. Reduced disability incidence with MLTCs is possible but was only achieved in the most affluent

    Healthy ageing for all? Comparisons of socioeconomic inequalities in health expectancies over two decades in the Cognitive Function and Ageing Studies I and II

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    Background: Despite increasing life expectancy (LE), cross-sectional data show widening inequalities in disability-free LE (DFLE) by socioeconomic status (SES) in many countries. We use longitudinal data to better understand trends in DFLE and years independent (IndLE) by SES, and how underlying transitions contribute. Methods: The Cognitive Function and Ageing Studies (CFAS I and II) are large population-based studies of those aged ≥65 years in three English centres (Newcastle, Nottingham, Cambridgeshire), with baseline around 1991 (CFAS I, n = 7635) and 2011 (CFAS II, n = 7762) and 2-year follow-up. We defined disability as difficulty in activities of daily living (ADL), dependency by combining ADLs and cognition reflecting care required, and SES by area-level deprivation. Transitions between disability or dependency states and death were estimated from multistate models. Results: Between 1991 and 2011, gains in DFLE at age 65 were greatest for the most advantaged men and women [men: 4.7 years, 95% confidence interval (95% CI) 3.3-6.2; women: 2.8 years, 95% CI 1.3-4.3]. Gains were due to the most advantaged women having a reduced risk of incident disability [relative risk ratio (RRR):0.7, 95% CI 0.5-0.8], whereas the most advantaged men had a greater likelihood of recovery (RRR: 1.8, 95% CI 1.0-3.2) and reduced disability-free mortality risk (RRR: 0.4, 95% CI 0.3-0.6]. Risk of death from disability decreased for least advantaged men (RRR: 0.7, 95% CI 0.6-0.9); least advantaged women showed little improvement in transitions. IndLE patterns across time were similar. Conclusions: Prevention should target the most disadvantaged areas, to narrow inequalities, with clear indication from the most advantaged that reduction in poor transitions is achievable

    UNBOUND

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    UNBOUND showcases the graduating class from the fashion design school at Fanshawe College. We are pleased to present Unbound 2017! Our 11th Unbound theme embraces the concept of Craft and Machine , a blend of couturier techniques with technology. Unbound describes the creative spirit and achievements of our eighteen emerging Canadian fashion designers. Unbound 2017 is a professional collaboration between Fanshawe College, community and professionals in the fashion industry. As you turn the pages, admire their accomplishments - the results of three years of passion, hard work, and dedication.https://first.fanshawec.ca/famd_design_fashiondesign_unbound/1004/thumbnail.jp

    What behaviour change techniques have been used to improve adherence to evidence-based low back pain imaging?

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    Background Despite international guideline recommendations, low back pain (LBP) imaging rates have been increasing over the last 20 years. Previous systematic reviews report limited effectiveness of implementation interventions aimed at reducing unnecessary LBP imaging. No previous reviews have analysed these implementation interventions to ascertain what behaviour change techniques (BCTs) have been used in this field. Understanding what techniques have been implemented in this field is an essential first step before exploring intervention effectiveness. Methods We searched EMBASE, Ovid (Medline), CINAHL and Cochrane CENTRAL from inception to February 1, 2021, as well as and hand-searched 6 relevant systematic reviews and conducted citation tracking of included studies. Two authors independently screened titles, abstracts, and full texts for eligibility and extracted data on study and intervention characteristics. Study interventions were qualitatively analysed by three coders to identify BCTs, which were mapped to mechanisms of action from the theoretical domains framework (TDF) using the Theory and Techniques Tool. Results We identified 36 eligible studies from 1984 citations in our electronic search and a further 2 studies from hand-searching resulting in 38 studies that targeted physician behaviour to reduce unnecessary LBP imaging. The studies were conducted in 6 countries in primary (n = 31) or emergency care (n = 7) settings. Thirty-four studies were included in our BCT synthesis which found the most frequently used BCTs were ‘4.1 instruction on how to perform the behaviour’ (e.g. Active/passive guideline dissemination and/or educational seminars/workshops), followed by ‘9.1 credible source’, ‘2.2 feedback on behaviour’ (e.g. electronic feedback reports on physicians’ image ordering) and 7.1 prompts and cues (electronic decision support or hard-copy posters/booklets for the office). This review highlighted that the majority of studies used education and/or feedback on behaviour to target the domains of knowledge and in some cases also skills and beliefs about capabilities to bring about a change in LBP imaging behaviour. Additionally, we found there to be a growing use of electronic or hard copy reminders to target the domains of memory and environmental context and resources. Conclusions This is the first study to identify what BCTs have been used to target a reduction in physician image ordering behaviour. The majority of included studies lacked the use of theory to inform their intervention design and failed to target known physician-reported barriers to following LBP imaging guidelines

    Effect of the Glycemic Index of Carbohydrates on Acne vulgaris

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    Acne vulgaris may be improved by dietary factors that increase insulin sensitivity. We hypothesized that a low-glycemic index diet would improve facial acne severity and insulin sensitivity. Fifty-eight adolescent males (mean age ± standard deviation 16.5 ± 1.0 y and body mass index 23.1 ± 3.5 kg/m2) were alternately allocated to high or low glycemic index diets. Severity of inflammatory lesions on the face, insulin sensitivity (homeostasis modeling assessment of insulin resistance), androgens and insulin-like growth factor-1 and its binding proteins were assessed at baseline and at eight weeks, a period corresponding to the school term. Forty-three subjects (n = 23 low glycemic index and n = 20 high glycemic index) completed the study. Diets differed significantly in glycemic index (mean ± standard error of the mean, low glycemic index 51 ± 1 vs. high glycemic index 61 ± 2, p = 0.0002), but not in macronutrient distribution or fiber content. Facial acne improved on both diets (low glycemic index −26 ± 6%, p = 0.0004 and high glycemic index −16 ± 7%, p = 0.01), but differences between diets did not reach significance. Change in insulin sensitivity was not different between diets (low glycemic index 0.2 ± 0.1 and high glycemic index 0.1 ± 0.1, p = 0.60) and did not correlate with change in acne severity (Pearson correlation r = −0.196, p = 0.244). Longer time frames, greater reductions in glycemic load or/and weight loss may be necessary to detect improvements in acne among adolescent boys
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