TY - JOUR
T1 - Selfie aging index
T2 - an index for the self-assessment of healthy and active aging
AU - Gonçalves, Judite
AU - Gomes, Maria Isabel
AU - Fonseca, Miguel
AU - Teodoro, Tomás
AU - Barros, Pedro Pita
AU - Botelho, Maria-Amália
N1 - Funding: NOVAsande and FCT-Portuguese Foundation for Science and Technology (grant nr. UID/MAT/00297/2013)
PY - 2017/12/22
Y1 - 2017/12/22
N2 - Introduction: Governments across Europe want to promote healthy and active aging, as a matter of both public health and economic sustainability. Designing policies focused on the most vulnerable groups requires information at the individual level. However, a measure of healthy and active aging at the individual level does not yet exist.Objectives: This paper develops theSelfie Aging Index(SAI), an individual-level index of healthy and active aging. The SAI is developed thinking about a tool that would allow each person to take aselfieof her aging status. Therefore, it is based entirely on self-assessed indicators. This paper also illustrates how the SAI may look like in practice.Methods: The SAI is based on the Biopsychosocial Assessment Model (MAB), a tool for the multidimensional assessment of older adults along three domains: biological, psychological, and social. Indicators are selected and their weights determined based on an ordered probit model that relates the MAB indicators to self-assessed health, which proxies healthy and active aging. The ordered probit model predicts the SAI based on the estimated parameters. Finally, predictions are rescaled to the 0-1 interval. Data for the SAI development come from the Study of the Aging Profiles of the Portuguese Population and the Survey of Health, Aging, and Retirement in Europe.Results: The selected indicators are BMI, having difficulties moving around indoors and performing the activities of daily living, feeling depressed, feeling nervous, lacking energy, time awareness score, marital status, having someone to confide in, education, type of job, exercise, and smoking status. The model also determines their weights.Conclusion: Results shed light on various factors that contribute significantly to healthy and active aging. Two examples are mental health and exercise, which deserve more attention from individuals themselves, health-care professionals, and public health policy. The SAI has the potential to put the individual at the center of the healthy and active aging discussion, contribute to patient empowerment, and promote patient-centered care. It can become a useful instrument to monitor healthy and active aging for different actors, including individuals themselves, health-care professionals, and policy makers.
AB - Introduction: Governments across Europe want to promote healthy and active aging, as a matter of both public health and economic sustainability. Designing policies focused on the most vulnerable groups requires information at the individual level. However, a measure of healthy and active aging at the individual level does not yet exist.Objectives: This paper develops theSelfie Aging Index(SAI), an individual-level index of healthy and active aging. The SAI is developed thinking about a tool that would allow each person to take aselfieof her aging status. Therefore, it is based entirely on self-assessed indicators. This paper also illustrates how the SAI may look like in practice.Methods: The SAI is based on the Biopsychosocial Assessment Model (MAB), a tool for the multidimensional assessment of older adults along three domains: biological, psychological, and social. Indicators are selected and their weights determined based on an ordered probit model that relates the MAB indicators to self-assessed health, which proxies healthy and active aging. The ordered probit model predicts the SAI based on the estimated parameters. Finally, predictions are rescaled to the 0-1 interval. Data for the SAI development come from the Study of the Aging Profiles of the Portuguese Population and the Survey of Health, Aging, and Retirement in Europe.Results: The selected indicators are BMI, having difficulties moving around indoors and performing the activities of daily living, feeling depressed, feeling nervous, lacking energy, time awareness score, marital status, having someone to confide in, education, type of job, exercise, and smoking status. The model also determines their weights.Conclusion: Results shed light on various factors that contribute significantly to healthy and active aging. Two examples are mental health and exercise, which deserve more attention from individuals themselves, health-care professionals, and public health policy. The SAI has the potential to put the individual at the center of the healthy and active aging discussion, contribute to patient empowerment, and promote patient-centered care. It can become a useful instrument to monitor healthy and active aging for different actors, including individuals themselves, health-care professionals, and policy makers.
KW - Active aging
KW - Aging index
KW - Biopsychosocial assessment model
KW - Healthy aging
KW - Multidimensional index
KW - Ordered probit model
KW - Self-assessed health
KW - Selfie Aging Index
UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85062611709&origin=resultslist&sort=plf-f&src
U2 - 10.3389/fmed.2017.00236
DO - 10.3389/fmed.2017.00236
M3 - Article
C2 - 29312944
SN - 2296-858X
VL - 4
JO - Frontiers in medicine
JF - Frontiers in medicine
IS - DEC
M1 - 236
ER -