Evidence map›Paper›PMID 29670342›Full record

ReviewClinical interventions in aging2018

Assessment of anxiety in older adults: a review of self-report measures.

Michela Balsamo, Fedele Cataldi, Leonardo Carlucci, Beth Fairfield

Abstract readComparative StudyReview
In one paragraph

Review in Clinical interventions in aging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 95 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
95citing papers in PubMed, 5 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

95 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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35 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Michela BalsamoDepartment of Psychological, Health, and Territorial Sciences, Gabriele d'Annunzio University of Chieti-Pescara, Chieti, Italy.
Fedele CataldiDepartment of Psychological, Health, and Territorial Sciences, Gabriele d'Annunzio University of Chieti-Pescara, Chieti, Italy.
Leonardo CarlucciDepartment of Psychological, Health, and Territorial Sciences, Gabriele d'Annunzio University of Chieti-Pescara, Chieti, Italy.
Beth FairfieldDepartment of Psychological, Health, and Territorial Sciences, Gabriele d'Annunzio University of Chieti-Pescara, Chieti, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With increasing numbers of older adults in the general population, anxiety will become a widespread problem in late life and one of the major causes of health care access contributing to high societal and individual costs. Unfortunately, the detection of anxiety disorders in late life is complicated by a series of factors that make it different from assessment in younger cohorts, such as differential symptom presentation, high comorbidity with medical and mental disorders, the aging process, and newly emergent changes in life circumstances. This review covers commonly and currently used self-report inventories for assessing anxiety in older adults. For each tool, psychometric data is investigated in depth. In particular, information about reliability, validity evidence based on data from clinical and nonclinical samples of older adults, and availability of age-appropriate norms are provided. Finally, guidance for clinical evaluation and future research are proposed in an effort to highlight the importance of clinical assessment in the promotion of clinically relevant therapeutic choices.

Indexed as

Self ReportAgedAnxietyFemaleHumansMaleMiddle AgedPersonality AssessmentPsychometricsReproducibility of Resultsaginganxietyassessmentelderlypsychometric propertiesself-report

Identifiers

PMID29670342
PMCPMC5896683

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.