Your topics. New publications.

A compact browser notification when there’s something new. At most once a day — no account needed.

What interests you?

Optional and switchable off here at any time. We save your selected topics and device subscription; no email address is required. Privacy

Search the harborEN/DEAccount
Sleep & recovery
Research brief

Lagged symptom links among pain, sleep and depressive symptoms in adults aged 50+

In five international aging cohorts, pain, sleep disturbance, loneliness, fatigue/effort and depressive-affective symptoms showed consistent lagged associations from one wave to the next, but effect sizes varied substantially between cohorts and causality is not established. [1]

Automatic summary · not editorially reviewed

The key findings

  1. The analysis included 123,608 participants from five aging cohorts contributing 405,472 complete adjacent-wave transitions. [1]

  2. Sleep disturbance was the most precise pooled lagged predictor of later depressed mood (odds ratio 1.41, 95% CI 1.36–1.46). [1]

  3. The authors state the findings do not establish direct causal symptom dynamics, actionable intervention targets or country-level differences. [1]

The source at a glance

Study type / format
International longitudinal multi-cohort study (abstract)
Population / context
Adults aged 50 years or older in five international aging cohorts (ELSA, HRS, KLoSA, MHAS, SHARE).
Summary based on
Study abstract
Original publication
August 21, 2026

Five aging cohorts with repeated symptom measures

The study combined harmonized longitudinal data from five international aging cohorts: ELSA, HRS, KLoSA, MHAS and SHARE. CHARLS and LASI were excluded because repeated direct pain measures were absent or longitudinal waves were insufficient. Participants were adults aged 50 years or older who contributed complete observations from two adjacent waves, in which six binary symptom nodes were measured at wave t and wave t+1. The analysis included 123,608 participants and 405,472 complete adjacent-wave transitions.

Supporting source [1]

Sleep disturbance predicted later depressed mood most precisely

Cohort-specific weighted logistic cross-lagged panel network models adjusted for earlier symptoms, sociodemographic factors, wave indicators, participant clustering, survey weights and weights for study dropout. Sleep disturbance was the most precise pooled lagged predictor of later depressed mood (odds ratio 1.41, 95% confidence interval 1.36–1.46). Pain predicted later sleep disturbance, fatigue/effort, depressed mood and loneliness, while sleep disturbance and fatigue/effort predicted later pain in both directions. Several associations were statistically significant but highly heterogeneous between cohorts, especially pain predicting sleep disturbance and pain predicting fatigue/effort.

Supporting source [1]

Consistent lagged links, but no causal or country-level claims

A sensitivity analysis with five nodes, excluding the low positive affect node, gave similar estimates for all main pathways. The authors conclude that the symptoms showed consistent prospective lagged associations across the five cohorts, though effect sizes varied substantially across populations. They state that the findings can inform joint symptom assessment and identify promising symptom pairs for future within-person and causal-inference research. However, the results do not establish direct causal symptom dynamics, actionable intervention targets or country-level differences.

Supporting source [1]

How to interpret this

This explainer is based on the abstract only; the full text was not reviewed. The study reports observational lagged associations, not causal effects, and the authors note substantial between-cohort heterogeneity and no country-level conclusions.

Based on the study abstract; the full paper, tables and supplementary data were not reviewed.

Source & supporting passages

Read the quoted passagesIn the language of the original source
  1. Finding 1 ↑

    123,608 participants contributing 405,472 complete adjacent-wave transitions
  2. Finding 2 ↑

    most precise pooled lagged predictor of later
  3. Finding 3 ↑

    do not establish direct causal symptom dynamics

AI-assisted summary with linked source passages. No independent editorial or clinical review.

Our editorial method

Discussion

Community discussions

0 topics

Member contributions. Share sources, disclose commercial interests, and avoid personal medical or dosing advice.

Loading…