BACKGROUND: This study was conducted as part of the Medical Research Council Cognitive Function and Ageing Study. OBJECTIVE: To compare information given by elderly people on their past and current health and family history of illness with similar information obtained from a relative, friend or carer. DESIGN: Screening and assessment stages of a prevalence study. SETTING: Three urban and two rural areas of England and Wales. PARTICIPANTS: A subsample weighted by age and cognitive status of random population samples of people >/=65 years, living in their own home or in a residential or nursing home, interviewed between 1991 and 1994. A relative, friend or carer identified by each elderly person to provide proxy information. INTERVIEW: Computerized schedules including items on demographic details, cognitive function, lifetime illnesses, current health problems and family history of illness. RESULTS: The rate of proxy 'don't know' responses and the agreement between the elderly person and their proxy were calculated for each item, both for the overall sample and for subgroups based on characteristics of the respondent and of the proxy and on the relationship between them. Higher 'don't know' rates were found to be particularly associated with more distant relationships, questions on family history, a shorter length of time known and a lack of co-residence. Agreement was strongly related to the nature of the question and less to co-residence, with other factors such as relationship having much smaller effects. CONCLUSIONS: Proxy information on past and current health problems can be almost complete and in good agreement with self-report, particularly where the proxy lives with the respondent. On family history of illness, history of head injury or boxing and current sleep problems, proxy information is likely to be less complete and show poor agreement. A proxy who is not a close relative is likely to give less complete information but agreement will not be substantially lower.
BACKGROUND: This study was conducted as part of the Medical Research Council Cognitive Function and Ageing Study. OBJECTIVE: To compare information given by elderly people on their past and current health and family history of illness with similar information obtained from a relative, friend or carer. DESIGN: Screening and assessment stages of a prevalence study. SETTING: Three urban and two rural areas of England and Wales. PARTICIPANTS: A subsample weighted by age and cognitive status of random population samples of people >/=65 years, living in their own home or in a residential or nursing home, interviewed between 1991 and 1994. A relative, friend or carer identified by each elderly person to provide proxy information. INTERVIEW: Computerized schedules including items on demographic details, cognitive function, lifetime illnesses, current health problems and family history of illness. RESULTS: The rate of proxy 'don't know' responses and the agreement between the elderly person and their proxy were calculated for each item, both for the overall sample and for subgroups based on characteristics of the respondent and of the proxy and on the relationship between them. Higher 'don't know' rates were found to be particularly associated with more distant relationships, questions on family history, a shorter length of time known and a lack of co-residence. Agreement was strongly related to the nature of the question and less to co-residence, with other factors such as relationship having much smaller effects. CONCLUSIONS: Proxy information on past and current health problems can be almost complete and in good agreement with self-report, particularly where the proxy lives with the respondent. On family history of illness, history of head injury or boxing and current sleep problems, proxy information is likely to be less complete and show poor agreement. A proxy who is not a close relative is likely to give less complete information but agreement will not be substantially lower.
Authors: Lynne Parkinson; David Sibbritt; Philip Bolton; Joan van Rotterdam; Inger Villadsen Journal: Clin Rheumatol Date: 2012-11-14 Impact factor: 2.980
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Authors: Jesús de Pedro-Cuesta; Pilar García-Sagredo; Enrique Alcalde-Cabero; Angel Alberquilla; Javier Damián; Graciela Bosca; Fernando López-Rodríguez; Montserrat Carmona; Monserrat Carmona; María J de Tena-Dávila; Luis García-Olmos; Carlos H Salvador Journal: PLoS One Date: 2013-10-31 Impact factor: 3.240
Authors: Marta Barcelo; Maria Jose Jimenez-Cebrian; Manuel Diaz-Rubio; Alberto Lopez Rocha; Enrique Rey Journal: BMC Geriatr Date: 2013-03-07 Impact factor: 3.921
Authors: Carol Jagger; Ruth J Matthews; Fiona E Matthews; Nicola A Spiers; Judith Nickson; Eugene S Paykel; Felicia A Huppert; Carol Brayne Journal: BMC Public Health Date: 2007-07-13 Impact factor: 3.295