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Record W4403837222 · doi:10.1016/j.osep.2024.10.002

Psychosocial Impact of the COVID-19 Pandemic on Older Adults With and Without Cognitive Impairment: A Cross-Sectional Study

2024· article· en· W4403837222 on OpenAlexaboutno aff
Anna Luiza Guimarães, Karin Reuwsaat Vieira, Nwabunwanne Emele, Bruno Costa Poltronieri, Yasmin Guedes de Oliveira, Cíntia Monteiro Carvalho, Ana Pelegrino, Feng Lin, Rogério Panizzutti

Bibliographic record

VenueThe American Journal of Geriatric Psychiatry Open Science Education and Practice · 2024
Typearticle
Languageen
FieldPsychology
TopicCOVID-19 and Mental Health
Canadian institutionsnot available
FundersFundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de JaneiroConselho Nacional de Desenvolvimento Científico e Tecnológico
KeywordsPsychosocialPandemicCross-sectional studyCoronavirus disease 2019 (COVID-19)2019-20 coronavirus outbreakPsychologyCognitive impairmentGerontologySevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)CognitionClinical psychologyMedicinePsychiatryDiseaseVirology

Abstract

fetched live from OpenAlex

Objectives 1) To develop and test the validity of the Psychosocial Pandemic Impact Scale (PPIS); 2) test associations between PPIS scores and demographics/cognitive performance in older adults; 3) answer whether the PPIS scores would differ between cognitively healthy (HOA) or mildly impaired older adults (MCI), and between those assessed before and after vaccines were available in Brazil. Design Cross-sectional study. Setting Community-dwelling older adults registered to participate in a remote randomized clinical trial of computerized cognitive training were assessed online during the COVID-19 pandemic in Brazil. Participants A sample of 181 older adults (>60 years) was used for the PPIS psychometric analysis, from which 120 who completed baseline cognitive, quality of life, and mood assessments were included in the group comparisons and correlational analysis. Measurements The psychosocial pandemic impact scale (PPIS); The Montreal Cognitive Assessment (MoCA; used as a brief screening tool); The verbal fluency test (to assess executive function) and the Verbal memory and learning with the Portuguese version of the rey auditory verbal learning test (RAVLT); The geriatric anxiety inventory (GAI); The Geriatric Depression Scale - Short Form (GDS); The WHOQOL-BREF and WHOQOL-OLD quality of life questionnaires; The Katz and Lawton scales and the Activities of Daily Living Questionnaire (ADLQ) to measure daily function. Results The PPIS demonstrated good internal consistency (α = .84) and sampling adequacy (MSA= .85) and was significantly associated with validated measures of anxiety and depression (GAI: ρ = 0.49, p< 0.001; GDS: ρ = 0.48, p=0.006) and quality of life (WHOQOL-Bref: ρ = -0.46, p< 0.001; WHOQOL-Old: ρ = -0.24, p=0.03), confirming construct validity and scale reliability. HOA who were female and had more years of education and those with MCI who were younger and had better memory reported higher PPIS scores. One-way ANOVAs including age and education as covariates revealed that people with MCI reported higher PPIS scores than HOA before vaccination (p = 0.01), but not after. While HOA assessed before and after vaccines were available showed similar PPIS scores, those with MCI assessed after had a trend towards lower scores than those assessed before (p = 0.06). Conclusions Our study provides a reliable instrument for assessing older adults' psychosocial pandemic impact and shows that people with MCI might be more vulnerable to such effects—which are mediated by memory performance, age, education, and gender. This data can help clinicians to identify and propose interventions targeting vulnerable populations during public health emergencies.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.053
GPT teacher head0.514
Teacher spread0.461 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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