Prevalence of cognitive impairment and associated factors in older people

Older people are the fastest-growing age group, with the highest risk of cognitive impairment. This study assessed the prevalence and associated factors with cognitive impairment in community-dwelling older people. Older people were interviewed and accomplished through sociodemographic and health qu...

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Published in:Journal of affective disorders Vol. 355; pp. 283 - 289
Main Authors: Campos, Ana Carolina Brunatto Falchetti, Teixeira, Iara Gonçalves, Moraes, Nayara de Souza, Cadorin, Isabela de Jesus, Morelli, Patrícia Mariotto, Lidio, Adrielly Vargas, Medeiros, Eduarda Behenck, Garcez, Michelle Lima, Keller, Gabriela Serafim, Kucharska, Ewa, da Rosa, Maria Inês, Ceretta, Luciane Bisognin, Quevedo, João, Budni, Josiane
Format: Journal Article
Language:English
Published: Netherlands Elsevier B.V 15-06-2024
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Abstract Older people are the fastest-growing age group, with the highest risk of cognitive impairment. This study assessed the prevalence and associated factors with cognitive impairment in community-dwelling older people. Older people were interviewed and accomplished through sociodemographic and health questionnaires. The quantitative variables were described by mean and standard deviation or median and interquartile range. The significance level adopted was 5 % (p < 0.05). The association between the quantitative variables was evaluated using the Pearson or Spearman correlation coefficients. The research population comprised 165 long-lived adults aged ≥80. The youngest one was 80, and the oldest one was 94 years old. The participants were 84.8 ± 3.6 years old, female (63 %) with a mean of education of 2.9 ± 1.8 years. A poor performance in the Mini-Mental State Examination (MMSE) was found in 58 (35.2 %) individuals when adjusted for educational level. After adjustment for confounding factors, body mass index (BMI) (p = 0.09), total older adults' income (up to 1 minimum wage [mw], p = 0.023; over 1 to 2 mw, p = 0.023), functional disability (Moderate dependence 75 %, p = 0.038; Moderate dependence 50 %, p = 0.081; Moderate dependence 25 %, p = 0.054), and the anxiety scale (p = 0.032), remained associated with cognitive impairment. This study showed that BMI, total older adults' income, functional disability, and anxiety are related to cognitive impairment in long-lived adults. This study has some limitations, such as the fact that it is a cross-sectional study, the reduced number of individuals, and the fact that there were no comparisons among different ages and populations. •The prevalence of cognitive impairment in long-lived people from this study was 35.2 %.•The cognitive impairment was associated with body mass index in long-lived people.•The cognitive impairment was associated with functional disability in long-lived people.•The anxiety symptoms were associated with cognitive impairment in long-lived adults.
AbstractList Older people are the fastest-growing age group, with the highest risk of cognitive impairment. This study assessed the prevalence and factors associated with cognitive impairment in community-dwelling older people. Older people were interviewed and accomplished through sociodemographic and health questionnaires. The mean described quantitative variables and standard deviation or interquartile range and median, the significance level adopted was 5 % (p < 0.05), and the association between the quantitative variables was evaluated using the Pearson correlation coefficients or Spearman tests. The research population comprised 165 long-lived adults aged ≥80. The youngest one was 80, and the oldest one was 94 years old. The participants were 84.8 ± 3.6 years old, female (63 %) with a mean of education of 2,9 ± 1,8 years. A poor performance in the Mini-Mental State Examination (MMSE) was found in 58 (35.2 %) individuals when adjusted for educational level. After adjustment for confounding factors, body mass index (BMI) (p = 0.09), total older adults' income (up to 1 minimum wage [mw], p = 0.023; over 1 to 2 mw, p = 0.023), functional disability (Moderate dependence 75 %, p = 0.038; Moderate dependence 50 %, p = 0.081; Moderate dependence 25 %, p = 0.054), and the anxiety scale (p = 0.032), remained associated with cognitive impairment. This study showed that BMI, total older adults' income, functional disability, and anxiety are related to cognitive impairment in older people from 80. This study has limitations, such as the fact that it is a cross-sectional study, the number of individuals, and there were no comparisons among different ages and populations.
Older people are the fastest-growing age group, with the highest risk of cognitive impairment. This study assessed the prevalence and associated factors with cognitive impairment in community-dwelling older people. Older people were interviewed and accomplished through sociodemographic and health questionnaires. The quantitative variables were described by mean and standard deviation or median and interquartile range. The significance level adopted was 5 % (p < 0.05). The association between the quantitative variables was evaluated using the Pearson or Spearman correlation coefficients. The research population comprised 165 long-lived adults aged ≥80. The youngest one was 80, and the oldest one was 94 years old. The participants were 84.8 ± 3.6 years old, female (63 %) with a mean of education of 2.9 ± 1.8 years. A poor performance in the Mini-Mental State Examination (MMSE) was found in 58 (35.2 %) individuals when adjusted for educational level. After adjustment for confounding factors, body mass index (BMI) (p = 0.09), total older adults' income (up to 1 minimum wage [mw], p = 0.023; over 1 to 2 mw, p = 0.023), functional disability (Moderate dependence 75 %, p = 0.038; Moderate dependence 50 %, p = 0.081; Moderate dependence 25 %, p = 0.054), and the anxiety scale (p = 0.032), remained associated with cognitive impairment. This study showed that BMI, total older adults' income, functional disability, and anxiety are related to cognitive impairment in long-lived adults. This study has some limitations, such as the fact that it is a cross-sectional study, the reduced number of individuals, and the fact that there were no comparisons among different ages and populations. •The prevalence of cognitive impairment in long-lived people from this study was 35.2 %.•The cognitive impairment was associated with body mass index in long-lived people.•The cognitive impairment was associated with functional disability in long-lived people.•The anxiety symptoms were associated with cognitive impairment in long-lived adults.
BACKGROUNDOlder people are the fastest-growing age group, with the highest risk of cognitive impairment. This study assessed the prevalence and associated factors with cognitive impairment in community-dwelling older people.METHODSOlder people were interviewed and accomplished through sociodemographic and health questionnaires. The quantitative variables were described by mean and standard deviation or median and interquartile range. The significance level adopted was 5 % (p < 0.05). The association between the quantitative variables was evaluated using the Pearson or Spearman correlation coefficients.RESULTSThe research population comprised 165 long-lived adults aged ≥80. The youngest one was 80, and the oldest one was 94 years old. The participants were 84.8 ± 3.6 years old, female (63 %) with a mean of education of 2.9 ± 1.8 years. A poor performance in the Mini-Mental State Examination (MMSE) was found in 58 (35.2 %) individuals when adjusted for educational level. After adjustment for confounding factors, body mass index (BMI) (p = 0.09), total older adults' income (up to 1 minimum wage [mw], p = 0.023; over 1 to 2 mw, p = 0.023), functional disability (Moderate dependence 75 %, p = 0.038; Moderate dependence 50 %, p = 0.081; Moderate dependence 25 %, p = 0.054), and the anxiety scale (p = 0.032), remained associated with cognitive impairment.CONCLUSIONSThis study showed that BMI, total older adults' income, functional disability, and anxiety are related to cognitive impairment in long-lived adults. This study has some limitations, such as the fact that it is a cross-sectional study, the reduced number of individuals, and the fact that there were no comparisons among different ages and populations.
Author Budni, Josiane
Moraes, Nayara de Souza
Campos, Ana Carolina Brunatto Falchetti
da Rosa, Maria Inês
Keller, Gabriela Serafim
Teixeira, Iara Gonçalves
Ceretta, Luciane Bisognin
Garcez, Michelle Lima
Morelli, Patrícia Mariotto
Cadorin, Isabela de Jesus
Kucharska, Ewa
Lidio, Adrielly Vargas
Medeiros, Eduarda Behenck
Quevedo, João
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  givenname: Iara Gonçalves
  surname: Teixeira
  fullname: Teixeira, Iara Gonçalves
  organization: Laboratory of Experimental Neurology, Graduate Program in Health Sciences (PPGCS), University of Southern Santa Catarina (UNESC), Criciúma, SC, Brazil
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  givenname: Nayara de Souza
  surname: Moraes
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  givenname: Isabela de Jesus
  surname: Cadorin
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  givenname: Patrícia Mariotto
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  givenname: Adrielly Vargas
  surname: Lidio
  fullname: Lidio, Adrielly Vargas
  organization: Laboratory of Experimental Neurology, Graduate Program in Health Sciences (PPGCS), University of Southern Santa Catarina (UNESC), Criciúma, SC, Brazil
– sequence: 7
  givenname: Eduarda Behenck
  surname: Medeiros
  fullname: Medeiros, Eduarda Behenck
  organization: Laboratory of Experimental Neurology, Graduate Program in Health Sciences (PPGCS), University of Southern Santa Catarina (UNESC), Criciúma, SC, Brazil
– sequence: 8
  givenname: Michelle Lima
  surname: Garcez
  fullname: Garcez, Michelle Lima
  organization: Laboratory of Experimental Neurology, Graduate Program in Health Sciences (PPGCS), University of Southern Santa Catarina (UNESC), Criciúma, SC, Brazil
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  givenname: Gabriela Serafim
  surname: Keller
  fullname: Keller, Gabriela Serafim
  organization: Laboratory of Experimental Neurology, Graduate Program in Health Sciences (PPGCS), University of Southern Santa Catarina (UNESC), Criciúma, SC, Brazil
– sequence: 10
  givenname: Ewa
  surname: Kucharska
  fullname: Kucharska, Ewa
  organization: Akademia Ignatianum w Krakowie Wydział Pedagogiczny Instytut Nauk o Wychowaniu, Krakow, Poland
– sequence: 11
  givenname: Maria Inês
  surname: da Rosa
  fullname: da Rosa, Maria Inês
  organization: Graduate Program in Public Health (PPGSCol), University of Southern Santa Catarina (UNESC), Criciúma, Santa Catarina, Brazil
– sequence: 12
  givenname: Luciane Bisognin
  surname: Ceretta
  fullname: Ceretta, Luciane Bisognin
  organization: Graduate Program in Public Health (PPGSCol), University of Southern Santa Catarina (UNESC), Criciúma, Santa Catarina, Brazil
– sequence: 13
  givenname: João
  surname: Quevedo
  fullname: Quevedo, João
  organization: Center of Excellence on Mood Disorders, Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA
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  givenname: Josiane
  surname: Budni
  fullname: Budni, Josiane
  email: josiane.budni@unesc.net
  organization: Laboratory of Experimental Neurology, Graduate Program in Health Sciences (PPGCS), University of Southern Santa Catarina (UNESC), Criciúma, SC, Brazil
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Keywords Human aging
Longevity
Long-lived adult
Age-related pathology
Cognitive impairment
Cognitive decline
Language English
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Snippet Older people are the fastest-growing age group, with the highest risk of cognitive impairment. This study assessed the prevalence and associated factors with...
Older people are the fastest-growing age group, with the highest risk of cognitive impairment. This study assessed the prevalence and factors associated with...
BACKGROUNDOlder people are the fastest-growing age group, with the highest risk of cognitive impairment. This study assessed the prevalence and associated...
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SubjectTerms Age-related pathology
Cognitive impairment
Human aging
Long-lived adult
Longevity
Title Prevalence of cognitive impairment and associated factors in older people
URI https://dx.doi.org/10.1016/j.jad.2024.03.072
https://www.ncbi.nlm.nih.gov/pubmed/38479509
https://search.proquest.com/docview/2957168238
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