2020
DOI: 10.1186/s12877-020-01689-3
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Health profiles and socioeconomic characteristics of nonagenarians residing in Mugello, a rural area in Tuscany (Italy)

Abstract: Background: Health, as defined by the WHO, is a multidimensional concept that includes different aspects. Interest in the health conditions of the oldest-old has increased as a consequence of the phenomenon of population aging. This study investigates whether (1) it is possible to identify health profiles among the oldest-old, taking into account physical, emotional and psychological information about health, and (2) there are demographic and socioeconomic differences among the health profiles. Methods: Latent… Show more

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Cited by 3 publications
(3 citation statements)
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References 52 publications
(128 reference statements)
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“…However, this score reported very few missing values (2 individuals in each cohort). The creation of the “not tested” category allowed us to considerably reduce the number of missing values for participants who were unable to respond due to ill health [ 36 ]. However, there were still some missing values in the dataset (see Table A4 in Supplemental Material).…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…However, this score reported very few missing values (2 individuals in each cohort). The creation of the “not tested” category allowed us to considerably reduce the number of missing values for participants who were unable to respond due to ill health [ 36 ]. However, there were still some missing values in the dataset (see Table A4 in Supplemental Material).…”
Section: Methodsmentioning
confidence: 99%
“…We perform a Latent Class Analysis (LCA) to shed light on the unobserved heterogeneity in health among Danish centenarians. LCA is a statistical method used to identify unobserved classes of individuals via observed categorical variables [ 36 40 , 50 ]. By considering several individual characteristics, the LCA determines individual probabilities of belonging to the latent classes and probabilities of finding a person with a certain characteristic in each class.…”
Section: Methodsmentioning
confidence: 99%
“…However, this score reported very few missing values (2 individuals in each cohort). The creation of the "non tested" category allowed us to considerably reduce the number of missing values for participants who were unable to respond due to ill health (41). However, there were still some missing values in the dataset.…”
Section: Methodsmentioning
confidence: 99%