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Work-Life Balance, Not Hours Worked, Predicts How Well Older Workers Sleep

In A Nutshell

  • A year-long study of 45 UK workers over 50 found most had poor sleep scores, and work-life balance was one of the strongest predictors of both sleep and wellbeing.
  • Wrist sensors revealed that frequent nighttime awakenings, not short sleep duration, were the bigger driver of poor sleep, even though workers blamed short nights.
  • Women reported more sleep problems than men, but their sensors showed better sleep efficiency and longer sleep, a gap researchers say needs more study given the small sample.
  • Researchers speculate that pairing wearables with regular check-ins could someday feed into digital health tools, though that idea remains untested.

A year-long study tracking 45 older workers across four UK sectors found that, on a standard sleep questionnaire that flags scores above 5 as poor sleep, the vast majority scored in that range. Several work factors, especially work-life balance and difficulty sleeping because of work, were tied to worse scores. Tiny wrist sensors added information questionnaires alone didn’t capture.

Researchers followed workers between the ages of 50 and 66 for a full year, an unusually long stretch for a study that combines detailed questionnaires with wearable sensors.

Published in Scientific Reports, the study is part of the Supporting Healthy Ageing at Work (SHAW) project at the University of Edinburgh. It raises questions about how employers and health systems think about an aging workforce, a group that in the UK now makes up one in three workers, a record 3.6 million people as of 2023.

Sleep Problems Showed Up Across Manufacturing, Finance, and Care Work

Participants came from four sectors: manufacturing, social care, finance, and self-employment. They wore a wrist sensor called a Geneactiv for roughly 35 to 40 days at a time, up to three times across the year, while regularly filling out questionnaires on job stress, sleep, and wellbeing. In total, researchers collected 1,901 questionnaire responses and 5,258 days of sensor data.

Median adherence was 67% for both the weekly questionnaires and the wearable device, though two participants never wore it and seven withdrew before the study began.

Sleep problems were common across all four sectors, with manufacturing workers scoring especially high, though given the small sample size, sector comparisons should be read as suggestive rather than definitive.

stressed man at his job in black suit
A year-long study of older workers finds sensors reveal poor sleep is driven by awakenings, not short nights, tied to stress. (Photo by Kampus Production on Pexels)

Awakenings, Not Short Sleep, Drove Most of the Disruption

Here is where the wrist sensors earned their keep. Most people in the study said they weren’t getting enough sleep, blaming short nights. But the devices strapped to their wrists told a different story: participants were actually getting close to seven or eight hours most nights, though almost everyone had some rough nights mixed in. The real culprit was how often they woke up, and for how long, in the middle of the night.

Six participants who regularly worked past 10 p.m. tended to fall asleep after midnight, and their sensors picked up more movement during sleep. Two others in the study were full shift workers, but researchers said their numbers were too small to skew the overall findings.

Work-Life Balance Emerged as a Key Driver of Sleep Quality

When researchers crunched the numbers to see what best predicted sleep quality and overall wellbeing, one thing stood out above the rest: work-life balance. Participants who reported a poor balance scored worse on both fronts throughout the year. Feeling tense or irritable because of work was strongly linked to lower wellbeing, while saying that work made it hard to sleep was among the most consistent predictors of poor sleep scores. A friendly atmosphere at work mattered more for wellbeing than sleep.

Wristband data also let researchers calculate something questionnaires can’t measure well on their own: what share of the night someone actually spent asleep, as opposed to lying awake or drifting in and out. That number predicted both sleep and wellbeing scores on its own, even after accounting for everything people had already reported.

One more twist: it wasn’t just average sleep quality that mattered for wellbeing, it was how much sleep bounced around from night to night. Someone with a few rough nights mixed into an otherwise decent week fared worse than someone with steady, if mediocre, sleep throughout. Sensor readings from the prior week tracked closely with wellbeing, while readings from just the prior few days lined up better with sleep scores, though researchers said that pattern needs more study.

Women Reported Worse Sleep, But Their Sensors Told a Different Story

A mismatch showed up when researchers broke the data down by gender. Women self-reported more sleep problems than men, but their sensors showed they actually spent more of the night asleep rather than awake, with fewer disturbances and sleep duration closer to a full eight hours. Men logged more moderate-to-vigorous activity daily but slept less and spent more of the night awake or restless.

Researchers noted similar gaps have shown up in earlier studies. But because the sample here was small, these gender differences should be read as a lead worth exploring, not a settled fact about men and women.

Why This Matters for an Aging Workforce

One in three UK workers is now over 50, a number that keeps climbing. This study suggests, in plain terms, that a bad boss or a heavy workload doesn’t just make for a rough day. It can follow someone home and keep them up at night, month after month. Health problems are among the top reasons older workers quit early, which ripples out to whoever ends up covering their care.

It’s a speculative leap, but researchers floated the idea that tools like this, a quick weekly check-in paired with a wristband that quietly tracks sleep, could someday plug into digital health platforms, giving workers, doctors, and employers a clearer read on how a job affects health. That’s still a ways off. What’s clear now is that for a lot of people in this study, the job followed them straight into bed.


Disclaimer: This article summarizes findings from a single peer-reviewed study with a small sample size. It is intended for general informational purposes and should not be taken as medical advice. Anyone with ongoing sleep problems or concerns about work-related stress should speak with a doctor or qualified health professional.


Paper Notes

Limitations

Researchers acknowledged that the study’s most significant limitation is its relatively small sample of 45 participants, which means findings should be interpreted with some caution and may not fully generalize across all professions or industries. Participants were drawn from only four sectors in the UK, which limits broader applicability. No medical expert physically assessed participants at any point, and the study did not screen out people with pre-existing chronic health conditions that might independently affect their sleep or wellbeing. The questionnaire used to measure job stress was not previously validated in a UK setting, and researchers modified it from its standard four-point response format to a six-point format to capture finer differences in weekly responses, meaning results from that measure cannot be directly compared to findings from other published studies. Researchers also noted that tailored questionnaires for capturing mental health symptoms were not used, and that linking participant data to electronic health records would have added useful context that was not available in this study.

Funding and Disclosures

The study was funded by the UKRI Healthy Ageing Challenge Social, Behavioural and Design Research Programme, grant number ES/V016148/1. Additional funding acknowledgments were noted for a Wellcome Trust Programme grant and an EU Horizon grant, both attributed to the corresponding author. Researchers stated that the funder played no role in study design, data collection, analysis, interpretation, or manuscript preparation. The authors declared no competing interests.

Publication Details

Paper title: Interrelations of work with health and wellbeing on a 50+ year old workforce assessed using longitudinal self-reports and actigraphy | Authors: Athanasios Tsanas, Belinda Steffan, Billy Dixon, Kiersten Hay, Larissa Pschetz, Jakov Jandric, and Wendy Loretto, all affiliated with the University of Edinburgh. | Journal: Scientific Reports | DOI: https://doi.org/10.1038/s41598-026-58229-z | Publication details: Scientific Reports (2026) 16:23215


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