ArticleHypertension research : official journal of the Japanese Society of Hypertension2019
Job strain and the prevalence of uncontrolled hypertension among white-collar workers.
Article in Hypertension research : official journal of the Japanese Society of Hypertension, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed, 18 citations in OpenAlex.
- Hypertension and Its Determinants Among White-Collar Workers: A Cross-Sectional Study Focusing on Lifestyle Risk Factors and Health Literacy.BioMed research international · 2026Article
- Article
- Job stress, a source of hypertension among workers in Sub-Saharan Africa: a scoping review.BMC public health · 2023Article
- Influence of shift work on periodontitis according to the occupation group.Scientific reports · 2023Article
- Alcohol Abuse Associated with Accumulated Periods of Precarious Employment: A Four-Year Follow-Up Study of a Young Population in Korea.International journal of environmental research and public health · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 4 institutions in 1 country.
Funding
Abstract
To determine whether white-collar workers treated for hypertension who are exposed to psychosocial stressors at work have a higher prevalence of uncontrolled hypertension than unexposed workers, this study conducted three waves of data collection over a 5-year period (repeated cross-sectional design). The study sample was composed of 464 white-collar workers treated for hypertension. At each collection time, ambulatory blood pressure (ABP) was measured every 15 min during the workday. Uncontrolled hypertension was defined as a mean daytime systolic ABP ≥135 mmHg and/or diastolic ABP ≥85 mmHg for non-diabetic participants and systolic ABP ≥125 mmHg and/or diastolic ABP ≥75 mmHg for diabetic participants. Job strain was evaluated with Karasek's demand-latitude model using validated scales for psychological demands and decision latitude. Prevalence ratios (PR) and 95% confidence intervals (CI) were estimated using generalized estimating equations, adjusting for sociodemographic and lifestyle-related risk factors. Men with job strain (high demands and low latitude) and active jobs (high demands and high latitude) had a higher prevalence of uncontrolled hypertension (PR job strain = 1.46, 95% CI: 1.07-1.98 and PR active = 1.47, 95% CI: 1.12-1.94). When considered separately, high demands were associated with a higher prevalence of uncontrolled hypertension in both men (PR highest tertile = 1.60, 95% CI: 1.25-2.06) and women (PR highest tertile = 1.60, 95% CI: 1.03-2.47). Workers exposed to psychosocial stressors at work according to the demand-latitude model had a higher prevalence of uncontrolled hypertension. Reducing these frequent exposures could help to reduce the burden of uncontrolled hypertension.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.