Differences in risk factors and chronic conditions between informal (family) carers and non-carers using a population-based cross-sectional survey in South Australia
Autor: | Kay Price, Anne F. Stacey, Tiffany K. Gill, Anne W. Taylor |
---|---|
Přispěvatelé: | Stacey, Anne F, Gill, Tiffany K, Price, Kay, Taylor, Anne W |
Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
Gerontology
Male Cross-sectional study Epidemiology Health Status carer health status family carers informal caregivers risk factors chronic Specific risk Logistic regression 0302 clinical medicine Risk Factors general medicine (see internal medicine) South Australia Medicine risk factors 030212 general & internal medicine health care economics and organizations carer health status Geriatrics Aged 80 and over education.field_of_study informal caregivers General Medicine Middle Aged humanities chronic Caregivers Female 0305 other medical science Adult medicine.medical_specialty Adolescent Population 03 medical and health sciences Young Adult Humans education Aged 030505 public health business.industry geriatric medicine Research general diabetes Cross-Sectional Studies Logistic Models Attributable risk Chronic Disease family carers Self Report business Body mass index |
Zdroj: | BMJ Open |
Popis: | BackgroundThere is growing discussion on the impact of informal caregiving on the health status and morbidity of family carers. Evidence suggests a proportion of carers may be at risk of poor health outcomes. However, there are limited population-based studies that provide representative data on specific risk factors among carers (eg, blood pressure, cholesterol, smoking status, activity and body mass index) and major chronic conditions (eg, asthma, diabetes and arthritis). This study aimed to redress that imbalance.MethodSelf-reported data were from the South Australian Monitoring and Surveillance System (SAMSS), a representative cross-sectional state-wide population-based survey of 600 randomly selected persons per month. SAMSS uses computer-assisted telephone interviewing (CATI) to monitor chronic health-related problems and risk factors and to assess health outcomes. In total, 2247 family carers were identified from 35 195 participants aged 16 years and older for the 5-year period from 2010 to 2015. Logistic regression analyses examined associations of being a carer with self-reported chronic diseases and health risk factors. In addition, the population attributable risk (PAR) of being a carer was examined for selected chronic conditions.ResultsThe prevalence of carers was 6.4%, and peak age group for carers was 50–59 years. Adjusted ORs for chronic conditions in carers were significant for all chronic conditions examined. Although there is a high prevalence of self-reported risk factors and chronic conditions among carers compared with non-carers at the population level, PAR findings suggest that caregiving is associated with a small to moderate increased risk of having these chronic conditions.ConclusionsMonitoring of carer health and morbidity particularly ‘at risk’ individuals such as female carers with asthma or diabetes remains important and provides an ongoing baseline for future surveys. To achieve this, caregiver-based studies need to become part of mainstream biomedical research at both epidemiological and clinical levels. |
Databáze: | OpenAIRE |
Externí odkaz: |