Examining the characteristics of patients with long-term impaired work ability in primary health care - a cross-sectional study.

Scand J Prim Health CareMar 23, 2026 (epub)

Märit Löfgren, Lena Nordeman, Nashmil Ariai et al.

✦ AI-curated · Sources linked

In 30 seconds

This cross-sectional study described 243 primary healthcare patients in Sweden with recurrent or long-term sick leave or health-related unemployment, recruited through a cluster-randomized trial across 40 primary care centres. Participants had low perceived work ability and extremely low health-related quality of life, alongside substantial anxiety, exhaustion, and pain-related risk of prolonged sick leave. Mean recorded sick days were 1,215 (SD 1,010), and 67.9% were on full-time sick leave. Sense of coherence correlated with several health and work-related measures, but not with sick-leave duration or rehabilitation participation.

Key findings

  • Mean sick days were 1,215 (SD 1,010); 67.9% of participants were on full-time sick leave.
  • Participants reported extremely low health-related quality of life, low perceived work ability, and substantial anxiety and exhaustion.
  • Sense of coherence correlated with health literacy, health-related quality of life, mental-health symptoms, perceived work ability, and pain (all p < 0.001).
  • Sense of coherence was not correlated with sick-leave duration or participation in rehabilitation.

Why it matters

The findings portray a group experiencing substantial health and functional burden alongside prolonged work absence. The associations between sense of coherence and several health-related measures suggest that patients’ perceived capacity to manage challenges may be relevant to understanding their broader health and work situation. The cross-sectional results describe co-occurrence, not causal pathways.

What to keep in mind

The cross-sectional design cannot establish causality or determine how characteristics change over time.

Source

Published in Scand J Prim Health Care. This summary was written by xxcode from the publication's abstract and metadata. It is not peer reviewed and is not a substitute for the original article. For clinical decisions, review the original publication.

ShareTelegramLinkedIn

AI-generated summaries may contain errors or omissions. Verify clinically important information with the original publication.

More in Internal Medicine (General)

Want this personalized?

Stop searching the literature. Choose what you follow and xxcode will build your personalized medical digest.

  • Your specialties
  • Your filters and thresholds
  • Clinical Research + Case Reports, tuned separately
  • Automatic weekly delivery
  • Audio and text

Prefer listening? Personalized audio digests are available with Pro.

Stay updated for free

Get the 3 most interesting publications in one specialty each week.

Weekly email. Unsubscribe anytime.