Evidence map›Paper›PMID 39784108›Full record

Observational studyJournal of medical Internet research2025

The Impact of the COVID-19 Pandemic on Oldest-Old Social Capital and Health and the Role of Digital Inequalities: Longitudinal Cohort Study.

Luca Guido Valla, Michele Rossi, Alessandra Gaia, Antonio Guaita, Elena Rolandi

Registry-linked trialAbstract readObservational Study
In one paragraph

Observational study in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01345110 (A Longitudinal Population Study on Brain Aging and Mental Performances for the 1935-1939 Born People Living in Abbiategrasso), which is not on this map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 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.

NCT01345110 completednot on this map

A Longitudinal Population Study on Brain Aging and Mental Performances for the 1935-1939 Born People Living in Abbiategrasso (a Small Town Near Milan)

TypeobservationalSponsorFondazione Golgi CenciRan2009 to 2015Enrolled1,321ConditionsDementia, Alzheimer Disease, Vascular Dementia
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Observational
  3. Article
  4. 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

5 authors.

Luca Guido VallaDepartment of Statistical Sciences, University of Padua, Padua, Italy.ORCID 0000-0002-6905-4870
Michele RossiGolgi Cenci Foundation, Abbiategrasso, Italy.ORCID 0000-0002-1532-0002
Alessandra GaiaCentre for Longitudinal Studies, UCL Social Research Institute, University College London, London, United Kingdom.ORCID 0000-0003-4478-7629
Antonio GuaitaGolgi Cenci Foundation, Abbiategrasso, Italy.ORCID 0000-0003-3954-5932
Elena RolandiGolgi Cenci Foundation, Abbiategrasso, Italy.ORCID 0000-0003-0043-2471

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDuring the COVID-19 pandemic, information and communication technology (ICT) became crucial for staying connected with loved ones and accessing health services. In this scenario, disparities in ICT use may have exacerbated other forms of inequality, especially among older adults who were less familiar with technology and more vulnerable to severe COVID-19 health consequences.

objectiveThis study investigated changes in ICT use, psychological and physical health, and social capital before and after the pandemic among the oldest old population (aged 80 years or older after the pandemic) and explored how internet use influenced these changes.

methodsWe leveraged data from the InveCe.Ab study, a population-based longitudinal cohort of people born between 1935 and 1939 and living in Abbiategrasso, a municipality on the outskirts of Milan, Italy. Participants underwent multidimensional assessment at baseline (2010) and after 2, 4, 8, and 12 years. We restricted our analysis to cohort members who participated in the last wave (ie, 2022) and who did not have a diagnosis of dementia (n=391). We used linear mixed models to assess the impact of COVID-19 and time on changes in social capital, physical and psychological health, and ICT use in a discontinuity regression design while controlling for age, sex, education, and income satisfaction. Then, we assessed the influence of internet use and its interaction with COVID-19 on these changes.

resultsCOVID-19 had a significant impact on social relationships (β=-4.35, 95% CI 6.38 to -2.32; P<.001), cultural activities (β=-.55, 95% CI -0.75 to -0.35; P<.001), cognitive functioning (β=-1.00, 95% CI -1.28 to -0.72; P<.001), depressive symptoms (β=.42, 95% CI 0.10-0.74; P=.009), physical health (β=.07, 95% CI 0.04-0.10; P<.001), and ICT use (β=-.11, 95% CI -0.18 to -0.03; P=.008). Internet use predicts reduced depressive symptoms (β=-.56, 95% CI -1.07 to -0.06; P=.03) over time. The interaction between internet use and COVID-19 was significant for cultural activities (β=-.73, 95% CI -1.22 to -0.24; P=.003) and cognitive functioning (β=1.36, 95% CI 0.67-2.05; P<.001).

conclusionsThe pandemic had adverse effects on older adults' health and social capital. Contrary to expectations, even ICT use dropped significantly after the pandemic. Internet users maintained higher psychological health regardless of time and COVID-19 status. However, COVID-19 was associated with a steeper decline in cognitive functioning among internet nonusers. Policy makers may develop initiatives to encourage ICT adoption among older adults or strengthen their digital skills.

trial registrationClinicalTrials.gov NCT01345110; https://clinicaltrials.gov/study/NCT01345110.

Indexed as

COVID-19Social CapitalAged, 80 and overCohort StudiesDigital DivideFemaleHealth StatusHumansInternet UseItalyLongitudinal StudiesMalePandemicsSARS-CoV-2Socioeconomic FactorsCOVID-19digital dividehealthICTICT useinformation and communication technologymental healtholder adultssocial capital

Identifiers

PMID39784108
PMCPMC11757979

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.