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Rawle MJ, Richards M, Davis D, Kuh D. The prevalence and determinants of polypharmacy at age 69: a British birth cohort study. BMC Geriatr 2018; 18:118. [PMID: 29769020 PMCID: PMC5956732 DOI: 10.1186/s12877-018-0795-2] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2017] [Accepted: 04/30/2018] [Indexed: 12/02/2022] Open
Abstract
Background To describe the development of polypharmacy and its components in a British birth cohort in its seventh decade and to investigate socioeconomic and gender differences independent of disease burden. Methods Data from the MRC National Survey for Health and Development were analysed to determine the prevalence and composition of polypharmacy at age 69 and changes since ages 60 to 64. Multinomial regression was used to test associations between gender, education and occupational social class and total, cardiological and non-cardiological polypharmacy controlling for disease burden. Results At age 69, 22.8% of individuals were taking more than 5 medications. There was an increase in the use of 5 to 8 medications (+ 2.3%) and over 9 medications (+ 0.8%) between ages 60–64 and 69. The greatest increases were found for cardiovascular (+ 13.4%) and gastrointestinal medications (+ 7.3%). Men experienced greater cardiological polypharmacy, women greater non-cardiological polypharmacy. Higher levels of education were associated with lower polypharmacy independent of disease burden, with strongest effects seen for over five cardiological medications (RRR 0.3, 95% CI 0.2–0.5 p < 0.001 for advanced secondary qualifications compared with no qualification); there was no additional effect of social class. Conclusions Polypharmacy increased over the seventh decade. Those with lower levels of education had more polypharmacy (total, cardiological and non-cardiological), even allowing for disease burden. Further analysis of future outcomes resulting from polypharmacy should take into account educational and gender differences, in an effort to identify at-risk populations who could benefit from medication reviews.
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Affiliation(s)
- Mark James Rawle
- Medical Research Council Unit for Lifelong Health and Ageing at University College London, 33 Bedford Place, London, WC1B 5JU, England.
| | - Marcus Richards
- Medical Research Council Unit for Lifelong Health and Ageing at University College London, 33 Bedford Place, London, WC1B 5JU, England
| | - Daniel Davis
- Medical Research Council Unit for Lifelong Health and Ageing at University College London, 33 Bedford Place, London, WC1B 5JU, England
| | - Diana Kuh
- Medical Research Council Unit for Lifelong Health and Ageing at University College London, 33 Bedford Place, London, WC1B 5JU, England
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102
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Kuh D, Cooper R, Moore A, Richards M, Hardy R. Age at menopause and lifetime cognition: Findings from a British birth cohort study. Neurology 2018; 90:e1673-e1681. [PMID: 29643079 PMCID: PMC5952972 DOI: 10.1212/wnl.0000000000005486] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2017] [Accepted: 02/16/2018] [Indexed: 11/24/2022] Open
Abstract
OBJECTIVE We investigated whether cognitive performance between ages 43 and 69 years was associated with timing of menopause, controlling for hormone replacement therapy, childhood cognitive ability, and sociobehavioral factors. METHODS We used data from 1,315 women participating in the Medical Research Council National Survey of Health and Development (a British birth cohort study) with known age at period cessation and up to 4 assessments of verbal memory (word-learning task) and processing speed (letter-cancellation task) at ages 43, 53, 60-64, and 69. We fitted multilevel models with linear and quadratic age terms, stratified by natural or surgical menopause, and adjusted for hormone replacement therapy, body mass index, smoking, occupational class, education, and childhood cognitive ability. RESULTS Verbal memory increased with later age at natural menopause (0.17 words per year, 95% confidence interval [CI]: 0.07-0.27, p = 0.001); an association remained, albeit attenuated, after full adjustment (0.09, 95% CI: 0.02-0.17, p = 0.013). Verbal memory also increased with later age at surgical menopause (0.16, 95% CI: 0.06-0.27, p = 0.002), but this association was fully attenuated after adjustment. Search speed was not associated with age at menopause. CONCLUSION Our findings suggest lifelong hormonal processes, not just short-term fluctuations during the menopause transition, may be associated with verbal memory, consistent with evidence from a variety of neurobiological studies; mechanisms are likely to involve estrogen receptor β function. Further follow-up is required to assess fully the clinical significance of these associations.
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Affiliation(s)
- Diana Kuh
- From the MRC Unit for Lifelong Health and Ageing at UCL, London, UK.
| | - Rachel Cooper
- From the MRC Unit for Lifelong Health and Ageing at UCL, London, UK
| | - Adam Moore
- From the MRC Unit for Lifelong Health and Ageing at UCL, London, UK
| | - Marcus Richards
- From the MRC Unit for Lifelong Health and Ageing at UCL, London, UK
| | - Rebecca Hardy
- From the MRC Unit for Lifelong Health and Ageing at UCL, London, UK
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Tsui A, Kuh D, Richards M, Davis D. Delirium symptoms are associated with decline in cognitive function between ages 53 and 69 years: Findings from a British birth cohort study. Alzheimers Dement 2018; 14:617-622. [PMID: 29161540 PMCID: PMC5948100 DOI: 10.1016/j.jalz.2017.08.018] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2017] [Revised: 08/23/2017] [Accepted: 08/30/2017] [Indexed: 01/12/2023]
Abstract
INTRODUCTION Few population studies have investigated whether longitudinal decline after delirium in mid-to-late life might affect specific cognitive domains. METHODS Participants from a birth cohort completing assessments of search speed, verbal memory, and the Addenbrooke's Cognitive Examination at age 69 were asked about delirium symptoms between ages 60 and 69 years. Linear regression models estimated associations between delirium symptoms and cognitive outcomes. RESULTS Period prevalence of delirium between 60 and 69 years was 4% (95% confidence interval 3.2%-4.9%). Self-reported symptoms of delirium over the seventh decade were associated with worse scores in the Addenbrooke's Cognitive Examination (-1.7 points; 95% confidence interval -3.2, -0.1; P = .04). In association with delirium symptoms, verbal memory scores were initially lower, with subsequent decline in search speed by the age of 69 years. These effects were independent of other Alzheimer's risk factors. DISCUSSION Delirium symptoms may be common even at relatively younger ages, and their presence may herald cognitive decline, particularly in search speed, over this time period.
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Affiliation(s)
- Alex Tsui
- MRC Unit for Lifelong Health and Ageing at UCL, London, UK.
| | - Diana Kuh
- MRC Unit for Lifelong Health and Ageing at UCL, London, UK
| | | | - Daniel Davis
- MRC Unit for Lifelong Health and Ageing at UCL, London, UK
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104
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Elhakeem A, Hannam K, Deere KC, Hartley A, Clark EM, Moss C, Edwards MH, Dennison E, Gaysin T, Kuh D, Wong A, Cooper C, Cooper R, Tobias JH. Physical Activity Producing Low, but Not Medium or Higher, Vertical Impacts Is Inversely Related to BMI in Older Adults: Findings From a Multicohort Study. J Gerontol A Biol Sci Med Sci 2018; 73:643-651. [PMID: 29028919 PMCID: PMC5846734 DOI: 10.1093/gerona/glx176] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2017] [Accepted: 09/16/2017] [Indexed: 01/21/2023] Open
Abstract
Background High impact physical activity (PA) is thought to improve skeletal health, but its relation to other health outcomes are unclear. We investigated associations between PA impact magnitude and body mass index (BMI) in older adults. Methods Data were taken from the Cohort for Skeletal Health in Bristol and Avon (COSHIBA), Hertfordshire Cohort Study, and MRC National Survey of Health and Development. Vertical acceleration peaks from 7-day hip-worn accelerometer recordings were used to classify PA as low (0.5 < g < 1.0g), medium (1 < g < 1.5g), or higher (≥1.5g) impact. Cohort-specific associations of low, medium, and higher impact PA with BMI were examined using linear regressions and estimates combined using random-effects meta-analysis. Results A total of 1182 participants (mean age = 72.7 years, 68% female) were included. Low, medium, and higher impact PA were inversely related to BMI in initial models. After adjustment for confounders and other impacts, low, but not medium or higher, impacts were inversely related to BMI (-0.31, p < .001: overall combined standard deviation change in BMI per doubling in the number of low impacts). In adjusted analyses of body composition measured by dual-energy X-ray absorptiometry in COSHIBA, low, but not medium or higher, impacts were inversely related to total body fat mass (-0.19, p < .001) and android:gynoid fat mass ratio (-0.16, p = .01), whereas high impact PA was weakly and positively associated with lean mass (0.05, p = .06). Conclusions Greater exposure to PA producing low magnitude vertical impacts was associated with lower BMI and fat mass at older age. Low impact PA may help reduce obesity risk in older adults.
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Affiliation(s)
- Ahmed Elhakeem
- Musculoskeletal Research Unit, School of Clinical Sciences, University of Bristol, UK
| | - Kimberly Hannam
- Musculoskeletal Research Unit, School of Clinical Sciences, University of Bristol, UK
| | - Kevin C Deere
- Musculoskeletal Research Unit, School of Clinical Sciences, University of Bristol, UK
| | - April Hartley
- Musculoskeletal Research Unit, School of Clinical Sciences, University of Bristol, UK
| | - Emma M Clark
- Musculoskeletal Research Unit, School of Clinical Sciences, University of Bristol, UK
| | - Charlotte Moss
- MRC Lifecourse Epidemiology Unit, University of Southampton, UK
| | - Mark H Edwards
- MRC Lifecourse Epidemiology Unit, University of Southampton, UK
| | - Elaine Dennison
- MRC Lifecourse Epidemiology Unit, University of Southampton, UK
| | - Tim Gaysin
- MRC Unit for Lifelong Health and Ageing, University College London, UK
| | - Diana Kuh
- MRC Unit for Lifelong Health and Ageing, University College London, UK
| | - Andrew Wong
- MRC Unit for Lifelong Health and Ageing, University College London, UK
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Unit, University of Southampton, UK
| | - Rachel Cooper
- MRC Unit for Lifelong Health and Ageing, University College London, UK
| | - Jon H Tobias
- Musculoskeletal Research Unit, School of Clinical Sciences, University of Bristol, UK
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Abstract
Many developed nations seek to increase older people’s work participation. Work and family are linked to paid work in later life, and to each other. Few studies combined work and family histories using multichannel sequence analysis capturing status and timing of transitions in relation to work in later life. Using the MRC National Survey of Health and Development, for whom State Pension Age was age 65 (men) or 60 (women), we examined paid work at age 60–64 (and age 68–69 for men only) by work–family patterns across 35 years (ages 16–51). Women’s later work was related to the combination of timing of children and work during family formation. Women who had children later were more likely to work full-time at age 60–64 compared to the reference [characterised by continuous full-time employment, marriage, and children from their early 20s; adjusted OR 5.36 (95% CI 1.84, 15.60)]. Earlier motherhood was associated with lower likelihood of work at age 60–64 among those who did not return to work before age 51, but those who took a work break did not differ from those who worked continuously. Providing jobs which allow parents to combine work and family (e.g. part-time jobs) may encourage them to extend their working lives. In addition, men and women characterised by continuous full-time work and no children were less likely to work in their sixties. Associations were not explained by childhood health and social class, education, caregiving, housing tenure, or limiting illness. Research is needed to understand why childless people work less in later life.
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106
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Rawle MJ, Cooper R, Kuh D, Richards M. Associations Between Polypharmacy and Cognitive and Physical Capability: A British Birth Cohort Study. J Am Geriatr Soc 2018; 66:916-923. [PMID: 29574684 PMCID: PMC6001617 DOI: 10.1111/jgs.15317] [Citation(s) in RCA: 95] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
OBJECTIVES To investigate longitudinal associations between polypharmacy and cognitive and physical capability and to determine whether these associations differ with cumulative exposure to polypharmacy. DESIGN Prospective birth cohort study. SETTING England, Scotland, and Wales. PARTICIPANTS An eligible sample of men and women from the Medical Research Council National Survey of Health and Development with medication data at age 69 (N=2,122, 79%). MEASUREMENTS Cognitive capability was assessed using a word learning test, visual search speed task, and the Addenbrooke's Cognitive Examination, Third Edition (ACE-III). Physical capability was measured using chair rise speed, standing balance time, walking speed, and grip strength. RESULTS Polypharmacy (5-8 prescribed medications) was present in 18.2% of participants at age 69 and excessive polypharmacy (≥9 prescribed medications) in 4.7%. Both were associated with poorer cognitive and physical capability in models adjusted for sex, education, and disease burden. Stronger associations were found for excessive polypharmacy (e.g., difference in mean ACE-III scores comparing polypharmacy=-2.0, 95% CI=-2.8 to -1.1 and excessive polypharmacy=-2.9, 95% CI=-4.4 to -1.4 with no polypharmacy). Participants with polypharmacy at age 60 to 64 and at age 69 showed stronger Negative associations with cognitive and physical capability were stronger still in participants with polypharmacy at both age 60 to 64 and at age 69 (e.g. difference in mean chair rise speed, comparing polypharmacy with no polypharmacy at both ages=-3.9, 95% CI=-5.2 to -2.6 and at age 60-64 only=-2.5, 95% CI=-4.1 to -0.9). CONCLUSION Polypharmacy at age 60 to 64 and age 69 was associated with poorer physical and cognitive capability, even after adjusting for disease burden. Stronger negative associations were seen in participants with longstanding polypharmacy, suggesting a cumulative, dose-dependent relationship (where dose is the number of prescribed medications). Future research aiming to improve cognitive and physical capability should consider interventions to reduce the duration and level of polypharmacy at younger ages, in addition to optimizing disease control with appropriate medications.
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Affiliation(s)
- Mark James Rawle
- Unit for Lifelong Health and Ageing, Medical Research Council, University College London, London, United Kingdom
| | - Rachel Cooper
- Unit for Lifelong Health and Ageing, Medical Research Council, University College London, London, United Kingdom
| | - Diana Kuh
- Unit for Lifelong Health and Ageing, Medical Research Council, University College London, London, United Kingdom
| | - Marcus Richards
- Unit for Lifelong Health and Ageing, Medical Research Council, University College London, London, United Kingdom
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107
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Tsui A, Kuh D, Cardozo L, Davis D. Vascular risk factors for male and female urgency urinary incontinence at age 68 years from a British birth cohort study. BJU Int 2018; 122:118-125. [PMID: 29512315 PMCID: PMC6221119 DOI: 10.1111/bju.14137] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Objective To investigate the prevalence of urgency urinary incontinence (UUI) at age 68 years and the contribution of vascular risk factors to male and female UUI pathogenesis in addition to the associations with raised body mass index (BMI). Subjects and methods In all, 1 762 participants from the Medical Research Council (MRC) National Survey for Health and Development birth cohort who answered the International Consultation on Incontinence Questionnaire short form (ICIQ‐SF), at age 68 years, were included. Logistic regression was used to estimate associations between UUI and earlier life vascular risk factors including: lipid status, diabetes, hypertension, BMI, previous stroke or transient ischaemic attack (TIA) diagnosis; adjusting for smoking status, physical activity, co‐presentation of stress UI symptoms, educational attainment; and in women only, type of menopause, age at period cessation, and use of hormone replacement therapy (HRT). Results UUI was reported by 12% of men and 19% of women at age 68 years. Female sex, previous stroke or TIA diagnosis, increased BMI and hypertension (in men only) at age 60–64 years were independent risk factors for UUI. Female sex, increased BMI, and a previous diagnosis of stroke/TIA increased the relative risk of more severe UUI symptoms. Type and timing of menopause and HRT use did not alter the estimated associations between UUI and vascular risk factors in women. Conclusion Multifactorial mechanisms lead to UUI and vascular risk factors may contribute to the pathogenesis of bladder overactivity in addition to higher BMI. Severe UUI appears to be a distinct presentation with more specific contributory mechanisms than milder UUI.
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Affiliation(s)
- Alex Tsui
- MRC Unit for Lifelong Health and Ageing at UCL, London, UK
| | - Diana Kuh
- MRC Unit for Lifelong Health and Ageing at UCL, London, UK
| | - Linda Cardozo
- Department of Urogynaecology, King's College Hospital, London, UK
| | - Daniel Davis
- MRC Unit for Lifelong Health and Ageing at UCL, London, UK
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108
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Davis D, Richardson S, Hornby J, Bowden H, Hoffmann K, Weston-Clarke M, Green F, Chaturvedi N, Hughes A, Kuh D, Sampson E, Mizoguchi R, Cheah KL, Romain M, Sinha A, Jenkin R, Brayne C, MacLullich A. The delirium and population health informatics cohort study protocol: ascertaining the determinants and outcomes from delirium in a whole population. BMC Geriatr 2018; 18:45. [PMID: 29426299 PMCID: PMC5807842 DOI: 10.1186/s12877-018-0742-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2017] [Accepted: 02/05/2018] [Indexed: 01/01/2023] Open
Abstract
BACKGROUND Delirium affects 25% of older inpatients and is associated with long-term cognitive impairment and future dementia. However, no population studies have systematically ascertained cognitive function before, cognitive deficits during, and cognitive impairment after delirium. Therefore, there is a need to address the following question: does delirium, and its features (including severity, duration, and presumed aetiologies), predict long-term cognitive impairment, independent of cognitive impairment at baseline? METHODS The Delirium and Population Health Informatics Cohort (DELPHIC) study is an observational population-based cohort study based in the London Borough of Camden. It is recruiting 2000 individuals aged ≥70 years and prospectively following them for two years, including daily ascertainment of all inpatient episodes for delirium. Daily inpatient assessments include the Memorial Delirium Assessment Scale, the Observational Scale for Level of Arousal, and the Hierarchical Assessment of Balance and Mobility. Data on delirium aetiology is also collected. The primary outcome is the change in the modified Telephone Interview for Cognitive Status at two years. DISCUSSION DELPHIC is the first population sample to assess older persons before, during and after hospitalisation. The cumulative incidence of delirium in the general population aged ≥70 will be described. DELPHIC offers the opportunity to quantify the impact of delirium on cognitive and functional outcomes. Overall, DELPHIC will provide a real-time public health observatory whereby information from primary, secondary, intermediate and social care can be integrated to understand how acute illness is linked to health and social care outcomes.
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Affiliation(s)
- Daniel Davis
- MRC Unit for Lifelong Health and Ageing at UCL, London, UK
- University College London Hospitals NHS Foundation Trust, London, UK
| | | | - Joanne Hornby
- MRC Unit for Lifelong Health and Ageing at UCL, London, UK
| | - Helen Bowden
- MRC Unit for Lifelong Health and Ageing at UCL, London, UK
| | | | | | - Fenella Green
- MRC Unit for Lifelong Health and Ageing at UCL, London, UK
| | | | - Alun Hughes
- MRC Unit for Lifelong Health and Ageing at UCL, London, UK
| | - Diana Kuh
- MRC Unit for Lifelong Health and Ageing at UCL, London, UK
| | | | | | | | | | - Abhi Sinha
- Royal Free London NHS Foundation Trust, London, UK
- Central and North West London NHS Foundation Trust, London, UK
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Rawle MJ, Davis D, Bendayan R, Wong A, Kuh D, Richards M. Apolipoprotein-E (Apoe) ε4 and cognitive decline over the adult life course. Transl Psychiatry 2018; 8:18. [PMID: 29317609 PMCID: PMC5802532 DOI: 10.1038/s41398-017-0064-8] [Citation(s) in RCA: 88] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2017] [Revised: 10/03/2017] [Accepted: 10/15/2017] [Indexed: 11/08/2022] Open
Abstract
We tested the association between APOE-ε4 and processing speed and memory between ages 43 and 69 in a population-based birth cohort. Analyses of processing speed (using a timed letter search task) and episodic memory (a 15-item word learning test) were conducted at ages 43, 53, 60-64 and 69 years using linear and multivariable regression, adjusting for gender and childhood cognition. Linear mixed models, with random intercepts and slopes, were conducted to test the association between APOE and the rate of decline in these cognitive scores from age 43 to 69. Model fit was assessed with the Bayesian Information Criterion. A cross-sectional association between APOE-ε4 and memory scores was detected at age 69 for both heterozygotes and homozygotes (β = -0.68 and β = -1.38, respectively, p = 0.03) with stronger associations in homozygotes; no associations were observed before this age. Homozygous carriers of APOE-ε4 had a faster rate of decline in memory between ages 43 and 69, when compared to non-carriers, after adjusting for gender and childhood cognition (β = -0.05, p = 0.04). There were no cross-sectional or longitudinal associations between APOE-ε4 and processing speed. We conclude that APOE-ε4 is associated with a subtly faster rate of memory decline from midlife to early old age; this may be due to effects of APOE-ε4 becoming manifest around the latter stage of life. Continuing follow-up will determine what proportion of this increase will become clinically significant.
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Affiliation(s)
- Mark James Rawle
- Medical Research Council Unit for Lifelong Health and Ageing at University College London, 33 Bedford Place, London, WC1B 5JU, UK.
| | - Daniel Davis
- Medical Research Council Unit for Lifelong Health and Ageing at University College London, 33 Bedford Place, London, WC1B 5JU, UK
| | - Rebecca Bendayan
- Medical Research Council Unit for Lifelong Health and Ageing at University College London, 33 Bedford Place, London, WC1B 5JU, UK
| | - Andrew Wong
- Medical Research Council Unit for Lifelong Health and Ageing at University College London, 33 Bedford Place, London, WC1B 5JU, UK
| | - Diana Kuh
- Medical Research Council Unit for Lifelong Health and Ageing at University College London, 33 Bedford Place, London, WC1B 5JU, UK
| | - Marcus Richards
- Medical Research Council Unit for Lifelong Health and Ageing at University College London, 33 Bedford Place, London, WC1B 5JU, UK
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Elhakeem A, Hannam K, Deere KC, Hartley A, Clark EM, Moss C, Edwards MH, Dennison E, Gaysin T, Kuh D, Wong A, Fox KR, Cooper C, Cooper R, Tobias JH. Associations of lifetime walking and weight bearing exercise with accelerometer-measured high impact physical activity in later life. Prev Med Rep 2017; 8:183-189. [PMID: 29134173 PMCID: PMC5671612 DOI: 10.1016/j.pmedr.2017.10.011] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2017] [Revised: 10/06/2017] [Accepted: 10/16/2017] [Indexed: 01/10/2023] Open
Abstract
High impact physical activity (PA) is thought to benefit bone. We examined associations of lifetime walking and weight bearing exercise with accelerometer-measured high impact and overall PA in later life. Data were from 848 participants (66.2% female, mean age = 72.4 years) from the Cohort for Skeletal Health in Bristol and Avon, Hertfordshire Cohort Study and MRC National Survey of Health and Development. Acceleration peaks from seven-day hip-worn accelerometer recordings were used to derive counts of high impact and overall PA. Walking and weight bearing exercise up to age 18, between 18-29, 30-49 and since age 50 were recalled using questionnaires. Responses in each age category were dichotomised and cumulative scores derived. Linear regression was used for analysis. Greater lifetime walking was related to higher overall, but not high impact PA, whereas greater lifetime weight bearing exercise was related to higher overall and high impact PA. For example, fully-adjusted differences in log-overall and log-high impact PA respectively for highest versus lowest lifetime scores were: walking [0.224 (0.087, 0.362) and 0.239 (- 0.058, 0.536)], and weight bearing exercise [0.754 (0.432, 1.076) and 0.587 (0.270, 0.904)]. For both walking and weight bearing exercise, associations were strongest in the 'since age 50' category. Those reporting the most walking and weight bearing exercise since age 50 had highest overall and high impact PA, e.g. fully-adjusted difference in log-high impact PA versus least walking and weight bearing exercise = 0.588 (0.226, 0.951). Promoting walking and weight bearing exercise from midlife may help increase potentially osteogenic PA levels in later life.
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Affiliation(s)
- Ahmed Elhakeem
- Musculoskeletal Research Unit, Translational Health Sciences, Bristol Medical School, University of Bristol, UK
| | - Kimberly Hannam
- Musculoskeletal Research Unit, Translational Health Sciences, Bristol Medical School, University of Bristol, UK
| | - Kevin C. Deere
- Musculoskeletal Research Unit, Translational Health Sciences, Bristol Medical School, University of Bristol, UK
| | - April Hartley
- Musculoskeletal Research Unit, Translational Health Sciences, Bristol Medical School, University of Bristol, UK
| | - Emma M. Clark
- Musculoskeletal Research Unit, Translational Health Sciences, Bristol Medical School, University of Bristol, UK
| | - Charlotte Moss
- MRC Lifecourse Epidemiology Unit, University of Southampton, UK
| | - Mark H. Edwards
- MRC Lifecourse Epidemiology Unit, University of Southampton, UK
| | - Elaine Dennison
- MRC Lifecourse Epidemiology Unit, University of Southampton, UK
| | - Tim Gaysin
- MRC Unit for Lifelong Health and Ageing at UCL, UK
| | - Diana Kuh
- MRC Unit for Lifelong Health and Ageing at UCL, UK
| | - Andrew Wong
- MRC Unit for Lifelong Health and Ageing at UCL, UK
| | - Kenneth R. Fox
- Centre for Exercise Nutrition and Health Sciences, University of Bristol, UK
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Unit, University of Southampton, UK
| | | | - Jon H. Tobias
- Musculoskeletal Research Unit, Translational Health Sciences, Bristol Medical School, University of Bristol, UK
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Davis D, Bendayan R, Muniz Terrera G, Hardy R, Richards M, Kuh D. Decline in Search Speed and Verbal Memory Over 26 Years of Midlife in a British Birth Cohort. Neuroepidemiology 2017; 49:121-128. [PMID: 29145205 DOI: 10.1159/000481136] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2017] [Accepted: 08/30/2017] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Cognitive capabilities change in later life, although their onset and rate of decline, and how they are shaped by lifetime socioeconomic position, childhood cognition and adult health status are all unclear. METHODS From the Medical Research Council National Survey of Health and Development, we analysed 3,192 participants undergoing one or more cognitive assessments at ages 43, 53, 60-64 and 69. Linear mixed models described cognitive trajectories, adjusting for factors across the life course. RESULTS For both search speed and verbal memory, better performance at age 43 (the intercept) was associated with higher paternal and own education, childhood cognition, and adult occupational class. For search speed, the trajectory was best described as a quadratic function (decline of 45.6 letters/5-years + 4.6 letters). Verbal memory showed a linear decline of 0.20 words/5-years between ages 43 and 60 and a steeper linear decline of 0.95 words/5-years between ages 60 and 69. Decline in verbal memory in the latter period was steeper in those with higher educational achievements at age 26 (additional 0.28 words/5-years for highest attainment). CONCLUSIONS Decline in verbal memory and search speed across midlife is evident, though with different non-linear trajectories. By implication, pathways to cognitive impairment and dementia in older age may have their origins in this period.
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Affiliation(s)
- Daniel Davis
- MRC Unit of Lifelong Health and Ageing at UCL, London, United Kingdom
| | - Rebecca Bendayan
- MRC Unit of Lifelong Health and Ageing at UCL, London, United Kingdom
| | | | - Rebecca Hardy
- MRC Unit of Lifelong Health and Ageing at UCL, London, United Kingdom
| | - Marcus Richards
- MRC Unit of Lifelong Health and Ageing at UCL, London, United Kingdom
| | - Diana Kuh
- MRC Unit of Lifelong Health and Ageing at UCL, London, United Kingdom
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Elhakeem A, Cooper R, Bann D, Kuh D, Hardy R. Markers of pubertal timing and leisure-time physical activity from ages 36 to 68 years: findings from a British birth cohort. BMJ Open 2017; 7:e017407. [PMID: 29092900 PMCID: PMC5695476 DOI: 10.1136/bmjopen-2017-017407] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVES We aimed to examine associations between markers of pubertal timing and leisure-time physical activity (LTPA) from ages 36 to 68 years in men and women from the Medical Research Council National Survey of Health and Development. STUDY DESIGN Pubertal timing was ascertained by physicians at age 14-15 years. Boys were grouped, based on their secondary sexual characteristics, as prepubescent, in early-stage puberty, advanced stage puberty or fully mature at age 14-15 years. Girls were grouped as reaching menarche ≤11, 12, 13 or ≥14 years. LTPA was reported at ages 36, 43, 53, 60-64 and 68 years and classified as active or inactive at each age. Associations were examined using standard and mixed-effects logistic regression models. RESULTS Of 5362 singleton births recruited, 1499 men and 1409 women had at least one measure of LTPA and data on pubertal timing and selected covariates. When compared with men that were fully mature at age 14-15 years, those that were in advanced stage and early-stage puberty, but not the prepubescent stage, had lower likelihood of LTPA at younger but not older adult ages (p=0.06 for pubertal status-by-age at LTPA interaction in mixed-effects model). For example, fully adjusted ORs of LTPA (vs no LTPA) at ages 36 and 68 years, respectively, for advanced puberty versus fully mature were 0.69 (95% CIs 0.50 to 0.96) and 1.03 (0.72 to 1.47). Age at menarche was not associated with LTPA at any age (pinteraction with age at LTPA=0.9). For example, OR (from mixed-effects model) of LTPA between 36 and 68 years was 1.23 (0.93, 1.63) for menarche at 13 vs ≤11 years. CONCLUSIONS In a nationally representative study, there was little evidence to suggest that pubertal timing was an important correlate of LTPA between ages 36 and 68 years. Maturity-related variations in adolescents' LTPA may be transitory and lose importance over time.
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Affiliation(s)
- Ahmed Elhakeem
- MRC Unit for Lifelong Health and Ageing, University College London, London, UK
- Musculoskeletal Research Unit, School of Clinical Sciences, University of Bristol, Bristol, UK
| | - Rachel Cooper
- MRC Unit for Lifelong Health and Ageing, University College London, London, UK
| | - David Bann
- Centre for Longitudinal Studies, UCL Institute of Education, London, UK
| | - Diana Kuh
- MRC Unit for Lifelong Health and Ageing, University College London, London, UK
| | - Rebecca Hardy
- MRC Unit for Lifelong Health and Ageing, University College London, London, UK
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113
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Allinson JP, Hardy R, Donaldson GC, Shaheen SO, Kuh D, Wedzicha JA. Combined Impact of Smoking and Early-Life Exposures on Adult Lung Function Trajectories. Am J Respir Crit Care Med 2017; 196:1021-1030. [PMID: 28530117 DOI: 10.1164/rccm.201703-0506oc] [Citation(s) in RCA: 99] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
RATIONALE Both adverse early-life exposures and adult smoking can negatively influence adult lung function trajectory, but few studies consider how the impact of early-life exposures may be modified by subsequent smoking. METHODS The Medical Research Council National Survey of Health and Development is a nationally representative cohort, initially of 5,362 individuals, followed since enrollment at birth in March 1946. Using data collected prospectively across life and multilevel modeling, we investigated how the relationships between early-life exposures (infant lower respiratory infection, manual social class, home overcrowding, and pollution exposure) and FEV1 and FVC trajectories between ages 43 and 60-64 years were influenced by smoking behavior. MEASUREMENTS AND MAIN RESULTS Among 2,172 individuals, there were synergistic interactions of smoking with infant respiratory infection (P = 0.04) and early-life home overcrowding (P = 0.009), for FEV1 at 43 years. Within smoker-stratified models, there were FEV1 deficits among ever-smokers associated with infant lower respiratory infection (-108.2 ml; P = 0.001) and home overcrowding (-89.2 ml; P = 0.002), which were not evident among never-smokers (-15.9 ml; P = 0.69 and -13.7 ml; P = 0.70, respectively). FVC modeling, including 1,960 individuals, yielded similar results. FEV1 decline was greater in smokers (P < 0.001), but there was no effect of any early-life exposure on FEV1 decline. Neither smoking nor early-life exposures were associated with FVC decline. CONCLUSIONS Besides accelerating adult FEV1 decline, cigarette smoking also modifies how early-life exposures impact on both midlife FEV1 and FVC. These findings are consistent with smoking impairing pulmonary development during adolescence or early adulthood, thereby preventing catch-up from earlier acquired deficits.
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Affiliation(s)
- James P Allinson
- 1 Airways Disease Section, National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Rebecca Hardy
- 2 Medical Research Council Unit for Lifelong Health and Ageing at UCL, University College London, London, United Kingdom; and
| | - Gavin C Donaldson
- 1 Airways Disease Section, National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Seif O Shaheen
- 3 Centre for Primary Care and Public Health, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom
| | - Diana Kuh
- 2 Medical Research Council Unit for Lifelong Health and Ageing at UCL, University College London, London, United Kingdom; and
| | - Jadwiga A Wedzicha
- 1 Airways Disease Section, National Heart and Lung Institute, Imperial College London, London, United Kingdom
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114
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Ikram MA, Brusselle GGO, Murad SD, van Duijn CM, Franco OH, Goedegebure A, Klaver CCW, Nijsten TEC, Peeters RP, Stricker BH, Tiemeier H, Uitterlinden AG, Vernooij MW, Hofman A. The Rotterdam Study: 2018 update on objectives, design and main results. Eur J Epidemiol 2017; 32:807-850. [PMID: 29064009 PMCID: PMC5662692 DOI: 10.1007/s10654-017-0321-4] [Citation(s) in RCA: 354] [Impact Index Per Article: 44.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2017] [Accepted: 10/06/2017] [Indexed: 02/07/2023]
Abstract
The Rotterdam Study is a prospective cohort study ongoing since 1990 in the city of Rotterdam in The Netherlands. The study targets cardiovascular, endocrine, hepatic, neurological, ophthalmic, psychiatric, dermatological, otolaryngological, locomotor, and respiratory diseases. As of 2008, 14,926 subjects aged 45 years or over comprise the Rotterdam Study cohort. Since 2016, the cohort is being expanded by persons aged 40 years and over. The findings of the Rotterdam Study have been presented in over 1500 research articles and reports (see www.erasmus-epidemiology.nl/rotterdamstudy ). This article gives the rationale of the study and its design. It also presents a summary of the major findings and an update of the objectives and methods.
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Affiliation(s)
- M Arfan Ikram
- Department of Epidemiology, Erasmus Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands.
- Department of Neurology, Erasmus Medical Center, Rotterdam, The Netherlands.
| | - Guy G O Brusselle
- Department of Epidemiology, Erasmus Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
- Department of Respiratory Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Respiratory Medicine, Ghent University Hospital, Ghent, Belgium
| | - Sarwa Darwish Murad
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Gastro-Enterology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Cornelia M van Duijn
- Department of Epidemiology, Erasmus Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
| | - Oscar H Franco
- Department of Epidemiology, Erasmus Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
- Department of Cardiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - André Goedegebure
- Department of Otolaryngology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Caroline C W Klaver
- Department of Epidemiology, Erasmus Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
- Department of Ophthalmology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Tamar E C Nijsten
- Department of Dermatology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Robin P Peeters
- Department of Epidemiology, Erasmus Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Bruno H Stricker
- Department of Epidemiology, Erasmus Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Henning Tiemeier
- Department of Epidemiology, Erasmus Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
- Department of Psychiatry, Erasmus Medical Center, Rotterdam, The Netherlands
| | - André G Uitterlinden
- Department of Epidemiology, Erasmus Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Meike W Vernooij
- Department of Epidemiology, Erasmus Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Albert Hofman
- Department of Epidemiology, Erasmus Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
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115
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Stafford M, Bendayan R, Tymoszuk U, Kuh D. Social support from the closest person and sleep quality in later life: Evidence from a British birth cohort study. J Psychosom Res 2017; 98:1-9. [PMID: 28554363 PMCID: PMC5478069 DOI: 10.1016/j.jpsychores.2017.04.014] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2017] [Revised: 04/20/2017] [Accepted: 04/21/2017] [Indexed: 01/26/2023]
Abstract
OBJECTIVES Supportive social relationships have been found to be related to fewer sleep problems and better sleep quality. We examined associations between positive and negative support from the nominated close person across 15years of follow-up with sleep quality in older age. METHODS MRC National Survey of Health and Development study members reported sleep quality at age 68 (n=2446). Cumulative exposure to and changes in positive and negative support were derived from data at age 53, 60-64 and 68years. Pittsburgh Sleep Quality Index scores were regressed on social support measures adjusted for i) gender only then additionally ii) education, marital status, number in household, limiting illness, body mass index, caregiving, iii) and affective symptoms. RESULTS Greater exposure to positive support and lower exposure to negative support over 15years were independently associated with better sleep quality at age 68. Sleep quality was poorer for those who experienced declining positive support or increasing negative support. Those who nominated their spouse/partner as their closest person at age 53 but not at age 68 had poorer sleep quality than those who nominated their spouse on both occasions. These associations were not explained by the covariates, including affective symptoms. CONCLUSIONS Based on repeat data on support from the closest person, this study finds a link between declining social relationship quality and poor sleep quality. Whilst acknowledging that the association may be bi-directional, the study suggests that interventions to improve older people's social relationships may have benefits for sleep.
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Affiliation(s)
- Mai Stafford
- MRC Unit for Lifelong Health and Ageing at UCL, London, UK.
| | | | - Ula Tymoszuk
- Department of Epidemiology and Public Health, UCL, London, UK
| | - Diana Kuh
- MRC Unit for Lifelong Health and Ageing at UCL, London, UK
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116
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Lane CA, Parker TD, Cash DM, Macpherson K, Donnachie E, Murray-Smith H, Barnes A, Barker S, Beasley DG, Bras J, Brown D, Burgos N, Byford M, Jorge Cardoso M, Carvalho A, Collins J, De Vita E, Dickson JC, Epie N, Espak M, Henley SMD, Hoskote C, Hutel M, Klimova J, Malone IB, Markiewicz P, Melbourne A, Modat M, Schrag A, Shah S, Sharma N, Sudre CH, Thomas DL, Wong A, Zhang H, Hardy J, Zetterberg H, Ourselin S, Crutch SJ, Kuh D, Richards M, Fox NC, Schott JM. Study protocol: Insight 46 - a neuroscience sub-study of the MRC National Survey of Health and Development. BMC Neurol 2017; 17:75. [PMID: 28420323 PMCID: PMC5395844 DOI: 10.1186/s12883-017-0846-x] [Citation(s) in RCA: 63] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2017] [Accepted: 03/21/2017] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Increasing age is the biggest risk factor for dementia, of which Alzheimer's disease is the commonest cause. The pathological changes underpinning Alzheimer's disease are thought to develop at least a decade prior to the onset of symptoms. Molecular positron emission tomography and multi-modal magnetic resonance imaging allow key pathological processes underpinning cognitive impairment - including β-amyloid depostion, vascular disease, network breakdown and atrophy - to be assessed repeatedly and non-invasively. This enables potential determinants of dementia to be delineated earlier, and therefore opens a pre-symptomatic window where intervention may prevent the onset of cognitive symptoms. METHODS/DESIGN This paper outlines the clinical, cognitive and imaging protocol of "Insight 46", a neuroscience sub-study of the MRC National Survey of Health and Development. This is one of the oldest British birth cohort studies and has followed 5362 individuals since their birth in England, Scotland and Wales during one week in March 1946. These individuals have been tracked in 24 waves of data collection incorporating a wide range of health and functional measures, including repeat measures of cognitive function. Now aged 71 years, a small fraction have overt dementia, but estimates suggest that ~1/3 of individuals in this age group may be in the preclinical stages of Alzheimer's disease. Insight 46 is recruiting 500 study members selected at random from those who attended a clinical visit at 60-64 years and on whom relevant lifecourse data are available. We describe the sub-study design and protocol which involves a prospective two time-point (0, 24 month) data collection covering clinical, neuropsychological, β-amyloid positron emission tomography and magnetic resonance imaging, biomarker and genetic information. Data collection started in 2015 (age 69) and aims to be completed in 2019 (age 73). DISCUSSION Through the integration of data on the socioeconomic environment and on physical, psychological and cognitive function from 0 to 69 years, coupled with genetics, structural and molecular imaging, and intensive cognitive and neurological phenotyping, Insight 46 aims to identify lifetime factors which influence brain health and cognitive ageing, with particular focus on Alzheimer's disease and cerebrovascular disease. This will provide an evidence base for the rational design of disease-modifying trials.
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Affiliation(s)
- Christopher A. Lane
- Dementia Research Centre, Institute of Neurology, University College London, London, UK
| | - Thomas D. Parker
- Dementia Research Centre, Institute of Neurology, University College London, London, UK
| | - Dave M. Cash
- Dementia Research Centre, Institute of Neurology, University College London, London, UK
- Translational Imaging Group, Centre for Medical Image Computing, University College London, London, UK
| | - Kirsty Macpherson
- Dementia Research Centre, Institute of Neurology, University College London, London, UK
| | - Elizabeth Donnachie
- Leonard Wolfson Experimental Neurology Centre, Institute of Neurology, University College London, London, UK
| | - Heidi Murray-Smith
- Dementia Research Centre, Institute of Neurology, University College London, London, UK
| | - Anna Barnes
- Institute of Nuclear Medicine, University College London Hospitals, London, UK
| | - Suzie Barker
- Dementia Research Centre, Institute of Neurology, University College London, London, UK
| | - Daniel G. Beasley
- Translational Imaging Group, Centre for Medical Image Computing, University College London, London, UK
| | - Jose Bras
- Department of Molecular Neuroscience, Institute of Neurology, University College London, London, UK
- Department of Medical Sciences and Institute of Biomedicine - iBiMED, University of Aveiro, Aveiro, Portugal
| | - David Brown
- Institute of Nuclear Medicine, University College London Hospitals, London, UK
| | - Ninon Burgos
- Translational Imaging Group, Centre for Medical Image Computing, University College London, London, UK
| | | | - M. Jorge Cardoso
- Translational Imaging Group, Centre for Medical Image Computing, University College London, London, UK
| | - Ana Carvalho
- Institute of Nuclear Medicine, University College London Hospitals, London, UK
| | - Jessica Collins
- Dementia Research Centre, Institute of Neurology, University College London, London, UK
| | - Enrico De Vita
- Lysholm Department of Neuroradiology, The National Hospital for Neurology and Neurosurgery, Queen Square, London, UK
- Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, Institute of Neurology, University College London, London, UK
| | - John C. Dickson
- Institute of Nuclear Medicine, University College London Hospitals, London, UK
| | - Norah Epie
- Dementia Research Centre, Institute of Neurology, University College London, London, UK
| | - Miklos Espak
- Translational Imaging Group, Centre for Medical Image Computing, University College London, London, UK
| | - Susie M. D. Henley
- Dementia Research Centre, Institute of Neurology, University College London, London, UK
| | - Chandrashekar Hoskote
- Lysholm Department of Neuroradiology, The National Hospital for Neurology and Neurosurgery, Queen Square, London, UK
| | - Michael Hutel
- Dementia Research Centre, Institute of Neurology, University College London, London, UK
- Translational Imaging Group, Centre for Medical Image Computing, University College London, London, UK
| | - Jana Klimova
- Dementia Research Centre, Institute of Neurology, University College London, London, UK
| | - Ian B. Malone
- Dementia Research Centre, Institute of Neurology, University College London, London, UK
| | - Pawel Markiewicz
- Translational Imaging Group, Centre for Medical Image Computing, University College London, London, UK
| | - Andrew Melbourne
- Translational Imaging Group, Centre for Medical Image Computing, University College London, London, UK
| | - Marc Modat
- Dementia Research Centre, Institute of Neurology, University College London, London, UK
- Translational Imaging Group, Centre for Medical Image Computing, University College London, London, UK
| | - Anette Schrag
- Department of Clinical Neuroscience, Institute of Neurology, University College London, London, UK
| | - Sachit Shah
- Lysholm Department of Neuroradiology, The National Hospital for Neurology and Neurosurgery, Queen Square, London, UK
- Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, Institute of Neurology, University College London, London, UK
| | - Nikhil Sharma
- MRC Unit for Lifelong Health and Ageing at UCL, London, UK
- National Hospital for Neurology and Neurosurgery, London, UK
| | - Carole H. Sudre
- Dementia Research Centre, Institute of Neurology, University College London, London, UK
- Translational Imaging Group, Centre for Medical Image Computing, University College London, London, UK
| | - David L. Thomas
- Leonard Wolfson Experimental Neurology Centre, Institute of Neurology, University College London, London, UK
- Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, Institute of Neurology, University College London, London, UK
| | - Andrew Wong
- MRC Unit for Lifelong Health and Ageing at UCL, London, UK
| | - Hui Zhang
- Department of Computer Science and Centre for Medical Image Computing, University College London, London, UK
| | - John Hardy
- Reta Lila Weston Research Laboratories, Department of Molecular Neuroscience, Institute of Neurology, University College London, London, UK
| | - Henrik Zetterberg
- Department of Molecular Neuroscience, Institute of Neurology, University College London, London, UK
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Sebastien Ourselin
- Translational Imaging Group, Centre for Medical Image Computing, University College London, London, UK
| | - Sebastian J. Crutch
- Dementia Research Centre, Institute of Neurology, University College London, London, UK
| | - Diana Kuh
- MRC Unit for Lifelong Health and Ageing at UCL, London, UK
| | | | - Nick C. Fox
- Dementia Research Centre, Institute of Neurology, University College London, London, UK
| | - Jonathan M. Schott
- Dementia Research Centre, Institute of Neurology, University College London, London, UK
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