Financial strain is associated with poorer sleep outcomes, with stronger associations among Asian individuals, particularly Pakistani individuals, compared to White individuals.
This longitudinal study of 36,544 individuals (114,164 person-years) from the UK Household Longitudinal Study found that financial strain was associated with poorer sleep quality, sleep disturbance, daytime dysfunction, sleep latency, and sleep medication use. The association was stronger among Asian individuals compared to White individuals, with the effect most pronounced in Pakistani individuals.
Evidence Score
Study Evidence
Study 1. Financial strain and sleep problems in the United Kingdom: longitudinal patterns by race-ethnicity.
observationalChai L, Chow C, Tsuchiya K ยท International journal for equity in health (2026)
Result:
Mechanism Graph
Limitations
- โ Abstract does not report specific effect sizes or confidence intervals
- โ Subgroup analyses may have limited statistical power for smaller ethnic groups
- โ Potential residual confounding from unmeasured variables (e.g., neighborhood factors, discrimination)
Frequently Asked Questions
What sleep dimensions were measured in this study?โผ
The study measured sleep quality, sleep disturbance, daytime dysfunction, sleep latency, and sleep medication use.
Which racial-ethnic group showed the strongest association between financial strain and sleep problems?โผ
Asian individuals, particularly Pakistani individuals, showed a stronger association between financial strain and poor sleep outcomes compared to White individuals.
What type of study design was used?โผ
This was a longitudinal observational study using fixed-effects regression models to assess within-person changes over time across four waves of the UK Household Longitudinal Study.
How many participants were included in the analysis?โผ
The study included 36,544 individuals contributing 114,164 person-years of data.
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References
- 1.Chai L, Chow C, Tsuchiya K. "Financial strain and sleep problems in the United Kingdom: longitudinal patterns by race-ethnicity.." International journal for equity in health, 2026. PMID: 42421076 DOI: 10.1186/s12939-026-02931-x