ArticleJournal of behavioral medicine2021
Quantifying direct effects of social determinants of health on systolic blood pressure in United States adult immigrants.
Article in Journal of behavioral medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed, 4 citations in OpenAlex.
- Material needs security and cardiovascular risk factors in rural South Africa.BMC public health · 2024Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
Identify the pathway by which social determinants of health (SDoH) variables impact systolic blood pressure (SBP) in immigrants. Latent variables were used to assess the relationship between SDoH and SBP. Latent variables were identified using confirmatory factor analysis (CFA) for (1) global socioeconomic status (SES) (education, income, number of hours worked per week), (2) stressors of immigration (life-course SES, immigration stress, immigration demand), (3) adaptation to immigration (perceived discrimination, perceived stress, health literacy), and (4) burden of disease (disability, comorbidities, chronic pain). Structural equation modeling (SEM) was used to investigate the relationship between immigrant specific latent variables and SBP. The study included 181 adult immigrants. The initial model (chi2 (77, n = 181) = 302.40, p < 0.001, RMSEA = 0.086, CFI = 0.84, TLI = 0.78, CD = 0.91) showed that stressors of immigration had a direct relationship with SBP (-0.35, p = 0.033); global (SES) had a direct relationship with burden of disease (-0.70, p = 0.007) and an indirect relationship with SBP by way of burden of disease (0.24, p = 0.015). The final model (chi2 (69, n = 181) = 149.98, p < 0.001, RMSEA = 0.054, CFI = 0.94, TLI = 0.91, CD = 0.96) maintained that global SES had a direct relationship with burden of disease (-0.40, p < 0.001) and an indirect relationship with SBP by way burden of disease (0.34, p < 0.001). This study suggests a direct relationship between burden of disease and SBP, and an indirect relationship between SES and SBP. Development of interventions should take burden of disease into account as a direct driver of blood pressure in immigrants, and address factors related to SES.
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.