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

Emma Green; Holly Bennett; Carol Brayne; Lorraine K. Tyler; Edward T. Bullmore; Andrew C. Calder; Rhodri Cusack; Tim Dalgleish; John Duncan; Richard N. Henson; William D. Marslen-Wilson; James B. Rowe; Meredith A. Shafto; Karen Campbell; Teresa Cheung; Simon Davis; Linda Geerligs; Rogier Kievit; Anna McCarrey; Abdur Mustafa; Darren Price; David Samu; Jason R. Taylor; Matthias Treder; Kamen Tsvetanov; Janna Van Belle; Nitin Williams; Lauren Bates; Tina Emery; Sharon Erzinçlioglu; Andrew Gadie; Sofia Gerbase; Stanimira Georgieva; Claire Hanley; Beth Parkin; David Troy; Tibor Auer; Marta Correia; Lu Gao; Rafael Henriques; Jodie Allen; Gillian Amery; Liana Amunts; Anne Barcroft; Amanda Castle; Cheryl Dias; Jonathan Dowrick; Melissa Fair; Hayley Fisher; Anna Goulding; Adarsh Grewal; Geoff Hale; Andrew Hilton; Frances Johnson; Patricia Johnston; Thea Kavanagh-Williamson; Magdalena Kwasniewska; Alison McMinn; Kim Norman; Jessica Penrose; Fiona Roby; Diane Rowland; John Sargeant; Maggie Squire; Beth Stevens; Aldabra Stoddart; Cheryl Stone; Tracy Thompson; Ozlem Yazlik; Dan Barnes; Marie Dixon; Jaya Hillman; Joanne Mitchell; Laura Villis; Fiona E. Matthews

doi:10.1186/s12889-018-5663-7

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

Emma Green^*, Holly Bennett, Carol Brayne, Lorraine K. Tyler, Edward T. Bullmore, Andrew C. Calder, Rhodri Cusack, Tim Dalgleish, John Duncan, Richard N. Henson, William D. Marslen-Wilson, James B. Rowe, Meredith A. Shafto, Karen Campbell, Teresa Cheung, Simon Davis, Linda Geerligs, Rogier Kievit, Anna McCarrey, Abdur MustafaDarren Price, David Samu, Jason R. Taylor, Matthias Treder, Kamen Tsvetanov, Janna Van Belle, Nitin Williams, Lauren Bates, Tina Emery, Sharon Erzinçlioglu, Andrew Gadie, Sofia Gerbase, Stanimira Georgieva, Claire Hanley, Beth Parkin, David Troy, Tibor Auer, Marta Correia, Lu Gao, Rafael Henriques, Jodie Allen, Gillian Amery, Liana Amunts, Anne Barcroft, Amanda Castle, Cheryl Dias, Jonathan Dowrick, Melissa Fair, Hayley Fisher, Anna Goulding, Adarsh Grewal, Geoff Hale, Andrew Hilton, Frances Johnson, Patricia Johnston, Thea Kavanagh-Williamson, Magdalena Kwasniewska, Alison McMinn, Kim Norman, Jessica Penrose, Fiona Roby, Diane Rowland, John Sargeant, Maggie Squire, Beth Stevens, Aldabra Stoddart, Cheryl Stone, Tracy Thompson, Ozlem Yazlik, Dan Barnes, Marie Dixon, Jaya Hillman, Joanne Mitchell, Laura Villis, Fiona E. Matthews

^*Corresponding author for this work

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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.

Original language	English
Article number	760
Journal	BMC Public Health
Volume	18
Issue number	1
DOIs	https://doi.org/10.1186/s12889-018-5663-7
Publication status	Published - 19 Jun 2018

Bibliographical note

Funding Information:
This work was supported by the Biotechnology and Biological Sciences Research Council [grant number BB/H008217/1]. F.E.M. is supported by the MRC U105292687. The funders had no role in the design, implementation, analysis or interpretation of the study.

Publisher Copyright:
© 2018 The Author(s).

Keywords

Ageing
Cognition
Epidemiological study
Lifespan
Neuroscience
Non-participation

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1186/s12889-018-5663-7

Cite this

Green, E., Bennett, H., Brayne, C., Tyler, L. K., Bullmore, E. T., Calder, A. C., Cusack, R., Dalgleish, T., Duncan, J., Henson, R. N., Marslen-Wilson, W. D., Rowe, J. B., Shafto, M. A., Campbell, K., Cheung, T., Davis, S., Geerligs, L., Kievit, R., McCarrey, A., ... Matthews, F. E. (2018). Exploring patterns of response across the lifespan: The Cambridge Centre for Ageing and Neuroscience (Cam-CAN) study. BMC Public Health, 18(1), Article 760. https://doi.org/10.1186/s12889-018-5663-7

@article{1ec092466e6640fbaf641d365ab286a2,

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

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.",

keywords = "Ageing, Cognition, Epidemiological study, Lifespan, Neuroscience, Non-participation",

author = "Emma Green and Holly Bennett and Carol Brayne and Tyler, {Lorraine K.} and Bullmore, {Edward T.} and Calder, {Andrew C.} and Rhodri Cusack and Tim Dalgleish and John Duncan and Henson, {Richard N.} and Marslen-Wilson, {William D.} and Rowe, {James B.} and Shafto, {Meredith A.} and Karen Campbell and Teresa Cheung and Simon Davis and Linda Geerligs and Rogier Kievit and Anna McCarrey and Abdur Mustafa and Darren Price and David Samu and Taylor, {Jason R.} and Matthias Treder and Kamen Tsvetanov and {Van Belle}, Janna and Nitin Williams and Lauren Bates and Tina Emery and Sharon Erzin{\c c}lioglu and Andrew Gadie and Sofia Gerbase and Stanimira Georgieva and Claire Hanley and Beth Parkin and David Troy and Tibor Auer and Marta Correia and Lu Gao and Rafael Henriques and Jodie Allen and Gillian Amery and Liana Amunts and Anne Barcroft and Amanda Castle and Cheryl Dias and Jonathan Dowrick and Melissa Fair and Hayley Fisher and Anna Goulding and Adarsh Grewal and Geoff Hale and Andrew Hilton and Frances Johnson and Patricia Johnston and Thea Kavanagh-Williamson and Magdalena Kwasniewska and Alison McMinn and Kim Norman and Jessica Penrose and Fiona Roby and Diane Rowland and John Sargeant and Maggie Squire and Beth Stevens and Aldabra Stoddart and Cheryl Stone and Tracy Thompson and Ozlem Yazlik and Dan Barnes and Marie Dixon and Jaya Hillman and Joanne Mitchell and Laura Villis and Matthews, {Fiona E.}",

note = "Funding Information: This work was supported by the Biotechnology and Biological Sciences Research Council [grant number BB/H008217/1]. F.E.M. is supported by the MRC U105292687. The funders had no role in the design, implementation, analysis or interpretation of the study. Publisher Copyright: {\textcopyright} 2018 The Author(s).",

year = "2018",

month = jun,

day = "19",

doi = "10.1186/s12889-018-5663-7",

language = "English",

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Green, E, Bennett, H, Brayne, C, Tyler, LK, Bullmore, ET, Calder, AC, Cusack, R, Dalgleish, T, Duncan, J, Henson, RN, Marslen-Wilson, WD, Rowe, JB, Shafto, MA, Campbell, K, Cheung, T, Davis, S, Geerligs, L, Kievit, R, McCarrey, A, Mustafa, A, Price, D, Samu, D, Taylor, JR, Treder, M, Tsvetanov, K, Van Belle, J, Williams, N, Bates, L, Emery, T, Erzinçlioglu, S, Gadie, A, Gerbase, S, Georgieva, S, Hanley, C, Parkin, B, Troy, D, Auer, T, Correia, M, Gao, L, Henriques, R, Allen, J, Amery, G, Amunts, L, Barcroft, A, Castle, A, Dias, C, Dowrick, J, Fair, M, Fisher, H, Goulding, A, Grewal, A, Hale, G, Hilton, A, Johnson, F, Johnston, P, Kavanagh-Williamson, T, Kwasniewska, M, McMinn, A, Norman, K, Penrose, J, Roby, F, Rowland, D, Sargeant, J, Squire, M, Stevens, B, Stoddart, A, Stone, C, Thompson, T, Yazlik, O, Barnes, D, Dixon, M, Hillman, J, Mitchell, J, Villis, L & Matthews, FE 2018, 'Exploring patterns of response across the lifespan: The Cambridge Centre for Ageing and Neuroscience (Cam-CAN) study', BMC Public Health, vol. 18, no. 1, 760. https://doi.org/10.1186/s12889-018-5663-7

TY - JOUR

T1 - Exploring patterns of response across the lifespan

T2 - The Cambridge Centre for Ageing and Neuroscience (Cam-CAN) study

AU - Green, Emma

AU - Bennett, Holly

AU - Brayne, Carol

AU - Tyler, Lorraine K.

AU - Bullmore, Edward T.

AU - Calder, Andrew C.

AU - Cusack, Rhodri

AU - Dalgleish, Tim

AU - Duncan, John

AU - Henson, Richard N.

AU - Marslen-Wilson, William D.

AU - Rowe, James B.

AU - Shafto, Meredith A.

AU - Campbell, Karen

AU - Cheung, Teresa

AU - Davis, Simon

AU - Geerligs, Linda

AU - Kievit, Rogier

AU - McCarrey, Anna

AU - Mustafa, Abdur

AU - Price, Darren

AU - Samu, David

AU - Taylor, Jason R.

AU - Treder, Matthias

AU - Tsvetanov, Kamen

AU - Van Belle, Janna

AU - Williams, Nitin

AU - Bates, Lauren

AU - Emery, Tina

AU - Erzinçlioglu, Sharon

AU - Gadie, Andrew

AU - Gerbase, Sofia

AU - Georgieva, Stanimira

AU - Hanley, Claire

AU - Parkin, Beth

AU - Troy, David

AU - Auer, Tibor

AU - Correia, Marta

AU - Gao, Lu

AU - Henriques, Rafael

AU - Allen, Jodie

AU - Amery, Gillian

AU - Amunts, Liana

AU - Barcroft, Anne

AU - Castle, Amanda

AU - Dias, Cheryl

AU - Dowrick, Jonathan

AU - Fair, Melissa

AU - Fisher, Hayley

AU - Goulding, Anna

AU - Grewal, Adarsh

AU - Hale, Geoff

AU - Hilton, Andrew

AU - Johnson, Frances

AU - Johnston, Patricia

AU - Kavanagh-Williamson, Thea

AU - Kwasniewska, Magdalena

AU - McMinn, Alison

AU - Norman, Kim

AU - Penrose, Jessica

AU - Roby, Fiona

AU - Rowland, Diane

AU - Sargeant, John

AU - Squire, Maggie

AU - Stevens, Beth

AU - Stoddart, Aldabra

AU - Stone, Cheryl

AU - Thompson, Tracy

AU - Yazlik, Ozlem

AU - Barnes, Dan

AU - Dixon, Marie

AU - Hillman, Jaya

AU - Mitchell, Joanne

AU - Villis, Laura

AU - Matthews, Fiona E.

N1 - Funding Information: This work was supported by the Biotechnology and Biological Sciences Research Council [grant number BB/H008217/1]. F.E.M. is supported by the MRC U105292687. The funders had no role in the design, implementation, analysis or interpretation of the study. Publisher Copyright: © 2018 The Author(s).

PY - 2018/6/19

Y1 - 2018/6/19

N2 - 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.

AB - 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.

KW - Ageing

KW - Cognition

KW - Epidemiological study

KW - Lifespan

KW - Neuroscience

KW - Non-participation

UR - http://www.scopus.com/inward/record.url?scp=85048733385&partnerID=8YFLogxK

U2 - 10.1186/s12889-018-5663-7

DO - 10.1186/s12889-018-5663-7

M3 - Article

C2 - 29914423

AN - SCOPUS:85048733385

SN - 1471-2458

VL - 18

JO - BMC Public Health

JF - BMC Public Health

IS - 1

M1 - 760

ER -

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

Abstract

Bibliographical note

Keywords

UN SDGs

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