Evidence map›Paper›PMID 36419980›Full record

ArticleFrontiers in psychiatry2022

Pre-existing mental health disorders and fear of COVID-19 pandemic: Data from a phone survey in community-dwelling older adults recruited in the NutBrain study.

Elena Perdixi, Sara Bernini, Silvia Conti, Nithiya Jesuthasan, Matteo Cotta Ramusino, Alfredo Costa, Federica Prinelli

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Frontiers in psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04461951 (Exploring the Relationship Between Nutrition, gUT Microbiota, and BRain AgINg in Community-dwelling Seniors), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 31% of its field
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.

NCT04461951 unknown statusnot on this map

Exploring the Relationship Between Nutrition, gUT Microbiota, and BRain AgINg in Community-dwelling Seniors: the NutBrain Study

TypeobservationalSponsorIRCCS National Neurological Institute "C. Mondino" FoundationRan2019 to 2022Enrolled643ConditionsCognitive Dysfunction, Dietary HabitsArmsLifestyles (exposure)
3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
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

7 authors at 1 institution in 2 countries.

Elena PerdixiUnit of Behavioral Neurology and Dementia Research Center, IRCCS Mondino Foundation, Pavia, Italy.
Sara BerniniUnit of Behavioral Neurology and Dementia Research Center, IRCCS Mondino Foundation, Pavia, Italy.
Silvia ContiUnit of Behavioral Neurology and Dementia Research Center, IRCCS Mondino Foundation, Pavia, Italy.
Nithiya JesuthasanEpidemiology Unit, Institute of Biomedical Technologies, National Research Council, Segrate, MI, Italy.
Matteo Cotta RamusinoUnit of Behavioral Neurology and Dementia Research Center, IRCCS Mondino Foundation, Pavia, Italy.
Alfredo CostaUnit of Behavioral Neurology and Dementia Research Center, IRCCS Mondino Foundation, Pavia, Italy.
Federica PrinelliUnit of Behavioral Neurology and Dementia Research Center, IRCCS Mondino Foundation, Pavia, Italy.
Institute of Biomedical Technologies · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: COVID-19 has caused a parallel epidemic of fear, anxiety, depression, stress, and frustration, particularly among the most fragile and vulnerable individuals, such as older people and those with previous mental health disorders. The present study aims to investigate the association between pre-existing mental health disorders, particularly depressive symptoms and Mild Cognitive Impairment (MCI), and the fear of COVID-19 and to explore which cognitive domains were involved in coping with fear in older people. Materials and methods: In April 2020, we conducted a phone-interview questionnaire on community-dwelling older adults living in Lombardy Region (Italy) who participated in the NutBrain study. At baseline, socio-demographic characteristics along with lifestyles, and medical history were recorded. Participants underwent a neuropsychological battery exploring the global cognitive function and specific cognitive domains, to detect cases of MCI. The Center for Epidemiologic Studies Depression scale (CES-D) was used for screening depressive symptoms. During the phone survey, respondents were assessed using a structured questionnaire querying about fear of the COVID-19 pandemic. We performed multivariate logistic regression models to study the association between MCI and depressive symptomatology and fear. We also explored which cognitive domains were associated with fear. Odds Ratios (OR) with Confidence Intervals (95%CI) were estimated adjusting for potential confounders. Results: Out of the 351 respondents (mean age 73.5 ± 6.1 years, 59.8% women, 49.1% high education), at baseline, 22.9% had MCI and 18.8% had depressive symptoms. In the multivariate analyses gender, age, and body mass index were significantly associated with the fear score. Considering different domains of fear, MCI was associated with fear of being infected themselves (OR 2.55, 95%CI 1.39-4.70) while depressive symptoms were associated with fear of contagion for family members (OR 2.38, 95%CI 1.25-4.52). Impaired executive cognitive function was positively associated with the highest tertile of the fear score (OR 3.28, 95%CI 1.37-7.74) and with fear of contagion for themselves (OR 3.39, 95%CI 1.61-7.17). Conclusion: Older adults experienced different fear reactions, particularly when suffering from neurocognitive disorders and depressive symptoms; executive dysfunction was associated with increased fear. These results highlighted the need to pay attention to the psychological effects of the outbreak of COVID-19 to target intervention, especially among vulnerable subgroups of individuals. Clinical trial registration: [ClinicalTrials.gov], identifier [NCT04461951].

Indexed as

COVID-19depressive symptomsfearmental health disordersneurocognitive disordersolder peoplephone survey

Identifiers

PMID36419980
PMCPMC9676658
OpenAlexW4308440542

What OpenQuestion holds

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Registered trials

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.