The “Hispanic mortality paradox” revisited: Meta-analysis and meta-regression of life-course differentials in Latin American and Caribbean immigrants' mortality

Shor, Eran; Roelfs, David J.; Vang, Zoua M.

doi:10.1016/j.socscimed.2017.05.049

Cited by 167 publications

(128 citation statements)

References 82 publications

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“…For the pooled analysis, crude relative risks (RR) were computed from available data for each study and pooled using a random effect model. Then, published adjusted odds or hazard ratio (HR) were harmonized into RR (30,31). A random effect model was used for pooling RR across studies, using the inverse variance weighting method.…”

Section: Statistical Analysesmentioning

confidence: 99%

Association of Hearing Impairment with Incident Depressive Symptoms: A Community-Based Prospective Study

Lisan

Sloten

Lemogne

et al. 2019

The American Journal of Medicine

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Objective: the aim was to investigate the potential association between hearing impairment and incident depressive symptoms. Methods: using a prospective community-based cohort study in France (the Paris Prospective Study III), participants aged 50-75 years were recruited between 2008 and 2012 and thereafter followed up every two years up to 2018. Hearing impairment, measured at study recruitment by audiometry testing, was defined as a pure tone average greater than 25 decibels in the better ear. Incident depressive symptoms, measured using the validated 13-item Questionnaire of Depression 2 nd version, was assessed during follow-up. Multivariate generalized estimating equations were used to compute odd ratio (OR) and 95% confidence intervals (CI). Results: among 7591 participants free of depressive symptoms at baseline (mean age 59.8 years, 63% of men), 14.3% had hearing impairment. Over six years of follow-up, 479 subjects (6.3%) had incident depressive symptoms. The OR for incident depressive symptoms was 1.36 for subjects with baseline hearing impairment (95% CI 1.06 to 1.73). A pooled analysis of four published prospective studies yielded a multivariable relative risk of baseline hearing impairment for incident depressive symptoms of 1.29 (95%CI 1.09 to 1.53). Conclusions: in this community-based prospective cohort study of participants aged 50 to 75, baseline hearing impairment was associated with a 36% increased odd of incident depressive symptoms.

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Section: Statistical Analysesmentioning

confidence: 99%

Association of Hearing Impairment with Incident Depressive Symptoms: A Community-Based Prospective Study

Lisan

Sloten

Lemogne

et al. 2019

The American Journal of Medicine

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“…The Hispanic paradox has been heavily criticized since it entirely discounts the health outcomes where Hispanics perform worse than Whites (eg hypertension and diabetes) 9 while also disregarding the within-group heterogeneity masked by the label of Hispanic ethnicity, failing to discern any differences between Mexicans, Puerto Ricans, Central Americans, and Cubans. [10][11][12] The Hispanic paradox remains a problematic term since it misrepresents Hispanics as a comparatively healthy group when it is only a paradox because Whites are not outperforming Hispanics on all measures of health. The term positions Whites as the gold standard in the measuring and reporting of health outcomes.…”

Section: Commentarymentioning

confidence: 99%

Will 'Deaths of Despair' among Whites Change How We Talk about Racial/Ethnic Health Disparities?

Brown

Tucker-Seeley

2018

Ethn Dis

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The recent trend of premature death among Whites in the United States has garnered attention in both the popular and academic literature. This attention has focused on the plight of low socioeconomic status Whites in non-urban areas. The population health literature in general and the health disparities literature more specifically has struggled to describe differences in health when White groups present worse health outcomes or worsening trends compared with racial/ethnic minority groups. There remain many open questions as population health/health disparities research attempts to explain the increasing mortality rates for low socioeconomic status Whites in non-urban areas in relationship to other racial/ethnic groups. As the conversation in the academic and popular literature continues to unfold, a key question for population health research and practice is how will the 'deaths of despair' phenomenon among Whites influence our measuring of, and reporting and intervening on, race/ethnic health disparities?

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“…Gallet and Doucouliagos (2017) applied meta-regression analysis (MRA), and examine the healthcare spending elasticity for the mortality rate and the spending elasticity for life expectancy. Shor et al (2017)conducted meta-analyses and meta-regressions to examine the relationship between immigration and mortality from Latin American countries to OECD countries, and the overall results suggested no immigrant mortality advantage, and the relative risk of mortality largely depends on life course stages. Broadly speaking, a meta-analysis can be defined as a systematic literature review supported by statistical methods where the goal is to aggregate and contrast the findings from several related studies (Glass 1976).…”

Section: Why Meta-analysis Is Used To Re-examine the Impact Of Healthmentioning

confidence: 99%

Impact of healthcare insurance on medical expense in China: new evidence from meta-analysis

et al. 2017

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This paper is aimed to make sense of the real effect of implement of social healthcare insurance on one's medical expense in China. Due to previous studies drew various and inconsistent conclusions on this issue, this works intend to apply meta-analysis to the problem. For 31 related studies, we first implement an advanced conditional Dirichlet-based Bayesian semi-parametric model specific to meta-analysis, and come to a primary conclusion that healthcare possesses little probability reducing one's medical expense in China. Further, the authors conduct random effects meta-regression and find that heterogeneity exists among the observed effect sizes. Mixed effects model shows that the age variation may is actually the heterogeneity source. The coefficients for Nonold and Old are respectively 0.29 and 0.54, implying that when researching on the medical expense for the elderly, it is more likely to conclude the medical insurance could increase medical spending. The coefficients for IV and OLS are both National Center for Mathematics and Interdisciplinary Sciences, CAS, Beijing, China remarkably negative at 90% confidence level. This suggests when directly using Instrument Variable (IV) approach and OLS method to assess the implementation effect for the healthcare insurance, it is inclined to result in the reduced impact on medical expense. We deduce this is because this two methods can't solve the sample-selection bias when compared with the Two-part model and difference-in-difference (DID) model. Based on the results and discussion, we finally propose suggests for the government.

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The “Hispanic mortality paradox” revisited: Meta-analysis and meta-regression of life-course differentials in Latin American and Caribbean immigrants' mortality

Cited by 167 publications

References 82 publications

Association of Hearing Impairment with Incident Depressive Symptoms: A Community-Based Prospective Study

Association of Hearing Impairment with Incident Depressive Symptoms: A Community-Based Prospective Study

Will 'Deaths of Despair' among Whites Change How We Talk about Racial/Ethnic Health Disparities?

Impact of healthcare insurance on medical expense in China: new evidence from meta-analysis

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