Statistics from Altmetric.com
A cohort study with mean follow up of 4.5 years (Caregiver Health Effects Study, a part of the Cardiovascular Health Study).
4 communities in the US.
392 caregivers whose spouses had difficulties with ≥1 activity of daily living (ADL) or instrumental activity of daily living (IADL) because of physical or health problems or problems with confusion and 427 non-caregivers whose spouses did not have these difficulties. Mean age was 80 years (range 66–96 y), 51% were women, and 90% were white. Inclusion criteria were age ≥65 y and plans to live in the study area for 3 years. Exclusion criteria were being wheelchair bound at home, inability to attend evaluations, or having cancer treatment. Follow up for mortality was 100%.
Assessment of risk factors
Baseline data were collected on sociodemographic factors (age, sex, race, education, and stressful life events), physical health status (prevalent disease, subclinical disease, or no disease), and caregiving status (spouse not disabled [referrant group] or caregiving defined as living with but not helping disabled spouse, helping disabled spouse with no self reported physical or emotional strain, or helping disabled spouse with strain reported).
Main outcome measure
All cause mortality.
During follow up, 103 participants died (16% in the groups with a disabled spouse and 9% in the group whose spouses were not disabled). After adjustment for sociodemographic factors and physical health status, caregiving with strain was associated with all cause mortality, whereas caregiving without strain or living with a disabled spouse and not helping were not associated with mortality; age, sex, race, and prevalent disease were associated with increased risk of all cause mortality (table⇓).
Older adults who provided care for a disabled spouse had an increased risk of all cause mortality if the caregiving was associated with self reported physical or emotional strain.
To date, researchers have not reached consensus on the effect of caregiving on the caregiver's long term health status. Studies have been small and not prospective. Schulz and Beach are the first researchers to show that caregivers who report strain are at greater risk of death. Their data indicate that, after adjusting for sociodemographic factors and physical health status, caregivers who provided support to their spouse and reported caregiving strain were 63% more likely to die within 4 years than non-caregivers. In addition, caregivers who were older, men, black, or had ≥1 prevalent disease had higher 4 year mortality rates. This prospective study is an important contribution to the health status and caregiving research.
Schulz and Beach used a broad definition of caregiver which specified that the spouses had difficulty with ≥ 1 task of IADL or ADL. Therefore, the results of the study probably underestimate the risk of mortality for individuals caring for spouses with chronic deteriorating illnesses, such as dementia. Limitations of the study include no mention of the sex bias in assessment of tasks of IADL, and limiting the definition of caregiver strain to a simple question asking about extent of emotional or physical strain for each task helped with (any v none).
With the increasing ageing population, the need for and value of caregivers will also increase. Arno et al1 point out the tangible value of informal caregiving to the healthcare system in terms of cost and hours of labour involved. The results of this study are relevant to all nurses who work with elderly people in primary and home care settings because they are in a position to identify spousal caregivers at serious risk of mortality. Unfortunately, little empirical evidence exists about effective interventions to reduce this strain. Until such evidence is found, nurses should identify spousal caregivers with biopsychosocial risk factors and institute individualised care strategies to assist the caregiver in reducing strain and optimising care.
Source of funding: National Institutes of Health.
For correspondence: Dr R Schulz, Department of Psychiatry and University Center for Social and Urban Research, University of Pittsburgh, 121 University Place, Pittsburgh, PA 15260, USA. Fax +1 412 624 4810.
A modified version of this abstract appears in Evidence Based Mental Health and ACP Journal Club.
If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.