Evidence map›Paper›PMID 40479611›Full record

ArticleAge and ageing2025

Depression and anxiety symptom networks across the lifespan.

Daniel Harlev, Aya Vituri, Moni Shahar, Noham Wolpe

Abstract readComparative Study
In one paragraph

Article in Age and ageing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. From dysphoria to anhedonia: age-related shift in the link between cognitive and affective symptoms.The journals of gerontology. Series B, Psychological sciences and social sciences · 2026
    Article
  5. 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

4 authors.

Daniel HarlevDepartment of Physical Therapy, Stanley Steyer School of Health Professions, Gray Faculty of Medical & Health Sciences, Tel Aviv University, Tel Aviv 6997801, Israel.ORCID 0000-0001-9733-707X
Aya VituriTel Aviv Center for Artificial Intelligence & Data Science (TAD), Tel Aviv University, 6997801, Israel.
Moni ShaharTel Aviv Center for Artificial Intelligence & Data Science (TAD), Tel Aviv University, 6997801, Israel.
Noham WolpeDepartment of Physical Therapy, Stanley Steyer School of Health Professions, Gray Faculty of Medical & Health Sciences, Tel Aviv University, Tel Aviv 6997801, Israel.ORCID 0000-0002-4652-7727

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe relationship between anxiety and depressive symptoms is complex and may vary across the lifespan. Symptom network analyses offer a powerful tool to examine these interactions, but few studies have directly compared symptom networks in younger and older adults.

methodsWe analysed data from the Cambridge Centre for Ageing and Neuroscience (Cam-CAN) study, including 786 participants aged 18 to 88, who reported at least subclinical levels of symptoms on the Hospital Anxiety and Depression Scale (HADS). Network analysis was employed to examine symptom communities (clusters of related symptoms), within- and between-community connectivity (association strength), and centrality (symptom importance) across age groups.

resultsThe overall network structure, separating anxiety and depressive symptoms into two communities, remained stable. However, older adults showed reduced connectivity within depression and between depression and anxiety. While 'panic' was a consistently central symptom, 'rumination' and 'restlessness' were the key bridge symptoms (i.e. linking anxiety and depression) in young and older adults, respectively. DISCUSSION: Our findings reveal both stable and dynamic aspects of depression and anxiety symptoms across the lifespan. Reduced within-community connectivity for depressive symptoms suggests greater heterogeneity in how depression manifests in older populations. The shift in bridging symptoms, from cognitive (rumination) in young adults to somatic (restlessness) in older adults, suggests subtle yet clinically important differences in how depression and anxiety are linked across the lifespan. Our findings support age-informed assessment and diagnosis of depressive and anxiety symptoms.

Indexed as

AgingAnxietyDepressionAdolescentAdultAgedAged, 80 and overAge FactorsFemaleHumansMaleMiddle AgedPsychiatric Status Rating ScalesYoung Adultageinganxietycentralitydepressionnetwork analysisolder people

Identifiers

PMID40479611
PMCPMC12143471

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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.