Lower objectively and subjectively assessed numeracy are both associated with poorer self-rated health.
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ABSTRACT: Objective
To compare an objective with a subjective numeracy assessment for association with self-reported health status, where numeracy refers to "the degree to which individuals have the capacity to access, process, interpret, communicate, and act on numerical, quantitative, graphical, biostatistical, and probabilistic health information needed to make effective health decisions" RESULTS: We completed a secondary analysis of two population-based surveys, the Empire State Poll (n = 763) and the Program for the International Assessment of Adult Competencies (PIAAC; n = 2609). The first survey assessed numeracy with a 3-item subjective instrument. The second assessed numeracy with more than 20 math problems. Both used the same measure for self-reported health status. Lower numeracy, whether subjectively or objectively assessed, was associated with worse self-reported health, even after controlling for education and other sociodemographic confounders. The odds ratios for the association were very similar (0.91 and 0.90 respectively). A lengthy objective numeracy assessment and a brief self-report assessment had similar associations with health status. A brief self-report measure of numeracy has similar properties to a lengthy objective assessment and is likely to be more feasible to use to screen patients in practice.
SUBMITTER: Benda NC
PROVIDER: S-EPMC8379725 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Evidence shows that state-level restrictive immigrant policies are associated with health disparities between noncitizens and citizens. Most research has focused on Latinos and there is limited knowledge of the relationship between restrictive policies and citizenship status among other groups, particularly Asian and Pacific Islanders (API). We examined whether state-level criminalization policy contexts (e.g., law enforcement collaboration with immigration authorities, E-Verify employment authorization) were associated with self-rated health (SRH) by citizenship, with a focus on Latinos and APIs. We expected that criminalization policies would be associated with worse health for noncitizens and citizens, but with a more negative influence for noncitizens; and that this pattern would be the same for Latinos and APIs. We merged a state-level immigrant criminalization policy database with a multi-racial/ethnic sample from 2014 to 2015 National Health Interview Survey (NHIS, n = 70,335). We tested the association between SRH and the number of state-level criminalization policies and generated predicted probabilities of noncitizens and citizens reporting excellent health in states with the most and fewest criminalization policies for the full sample, Latino, and API respondents. In states with the most criminalization policies, all noncitizens had a higher and all US-born citizens had a lower probability of excellent health. In states with the fewest criminalization policies there were no differences by citizenship status. Findings provide new evidence that state-level immigrant policies may harm the health of US-born citizens. As immigrant policymaking at the state level continues, understanding the relationship between state-level immigrant policies and health inequities across citizenship statuses will continue to be critical to improving population health.
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Project description:Background:Poorer self-rated health (SRH) predicts worse health outcomes, even when adjusted for objective measures of disease at time of rating. Twin studies indicate SRH has a heritability of up to 60% and that its genetic architecture may overlap with that of personality and cognition. Methods:We carried out a genome-wide association study (GWAS) of SRH on 111 749 members of the UK Biobank sample. Univariate genome-wide complex trait analysis (GCTA)-GREML analyses were used to estimate the proportion of variance explained by all common autosomal single nucleotide polymorphisms (SNPs) for SRH. Linkage disequilibrium (LD) score regression and polygenic risk scoring, two complementary methods, were used to investigate pleiotropy between SRH in the UK Biobank and up to 21 health-related and personality and cognitive traits from published GWAS consortia. Results:The GWAS identified 13 independent signals associated with SRH, including several in regions previously associated with diseases or disease-related traits. The strongest signal was on chromosome 2 (rs2360675, P = 1.77 x 10 -10 ) close to KLF7 . A second strong peak was identified on chromosome 6 in the major histocompatibility region (rs76380179, P = 6.15 x 10 -10 ). The proportion of variance in SRH that was explained by all common genetic variants was 13%. Polygenic scores for the following traits and disorders were associated with SRH: cognitive ability, education, neuroticism, body mass index (BMI), longevity, attention-deficit hyperactivity disorder (ADHD), major depressive disorder, schizophrenia, lung function, blood pressure, coronary artery disease, large vessel disease stroke and type 2 diabetes. Conclusions:Individual differences in how people respond to a single item on SRH are partly explained by their genetic propensity to many common psychiatric and physical disorders and psychological traits.
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