Evidence map›Paper›PMID 36058359›Full record

ArticleJournal of affective disorders2023

The "loneliness epidemic", intersecting risk factors and relations to mental health help-seeking: A population-based study during COVID-19 lockdown in Canada.

Shen Lamson Lin

Open access · greenAbstract read
In one paragraph

Article in Journal of affective disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
8.3field-weighted citation impact, top 2% 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.

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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.

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  18. Risk factors for loneliness: A literature review.Social science & medicine (1982) · 2023
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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

1 author at 1 institution in 2 countries.

Shen Lamson LinFactor-Inwentash Faculty of Social Work, University of Toronto, 246 Bloor Street W, Toronto, Ontario M5S 1V4, Canada; Department of Social and Behavioural Sciences, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong SAR, China. Electronic address: shenlin@cityu.edu.hk.
City University of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPandemic-induced social distancing and stay-at-home orders, while successful in decreasing the transmission of COVID-19, could exacerbate loneliness. Few studies have examined how pandemic-related social determinants intersect to shape pandemic loneliness and its relations to mental health care in Canada.

methodsA population-representative sample of 3772 adults from the Canadian Perspective Survey Series (CPSS-6; January 25 to 31, 2021) was analyzed. Gender-specific logistic regression was employed to investigate the association between three-item loneliness scale (UCLA-3) with socio-demographics, job precarity, health behaviours, social isolation indicators, and mental health help-seeking. Classification and Regression Tree (CART) modelling was used to identify intersecting risk factors and the most important predictor of severe loneliness (UCLA-3 score ≥ 7).

resultsThe estimated prevalence of severe loneliness was 34.7 % in Canada, with women significantly higher than men (38.1 % vs 31.3 %, p < 0.001). Pandemic loneliness were more prevalent in female (OR = 1.53, 99 % CI: 1.26-1.85), those who were younger (OR's range 1.42-3.00), women without college degree (OR = 1.44, 99 % CI: 1.01-2.04), those living alone (OR = 1.56, 99 % CI: 1.09-2.23), immigrant men (OR = 1.79, 99 % CI: 1.23-2.60), those with small network (OR's range: 1.73-3.26), those who were absent from work due to COVID-19 related reasons (OR = 2.11, 99 % CI: 1.04-4.28), past-month binge drinkers (OR's range: 1.39-1.70) and cannabis user (OR = 1.47, 99 % CI: 1.12-1.93). The CART algorithm identifies that immigrants who experienced pandemic-triggered job insecurity were the most-at-risk group of severely loneliness. Pandemic loneliness was positively associated with formal help-seeking from mental health professionals (OR = 1.71, 99 % CI: 1.21-2.41), informal help-seeking from social circle (OR = 1.51, 99 % CI: 1.17-1.95), and unmet mental health needs (OR = 1.78, 99 % CI: 1.29-2.49). LIMITATIONS: Cross-sectional data prohibits causal inferences.

conclusionThe COVID-19 pandemic converges with loneliness epidemic in Canada. Prevention and intervention programs should target upstream social determinants of mental health, especially the intersection of migration status and COVID-19-related job precarity, to eliminate loneliness during the pandemic.

Indexed as

COVID-19LonelinessAdultCanadaCommunicable Disease ControlCross-Sectional StudiesFemaleHumansMaleMental HealthPandemicsRisk FactorsCOVID-19LonelinessMachine learningPsychiatric epidemiologySocial isolation

Identifiers

PMID36058359
PMCPMC9436782
OpenAlexW4294169014

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.