Evidence map›Paper›PMID 37605166›Full record

ArticleBMC public health2023

Can lifestyle factors explain racial and ethnic inequalities in all-cause mortality among US adults?

Klajdi Puka, Carolin Kilian, Yachen Zhu, Nina Mulia, Charlotte Buckley, Aurélie M Lasserre, Jürgen Rehm, Charlotte Probst

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.7field-weighted citation impact, top 17% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 6 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 6 institutions in 5 countries.

Klajdi Puka *Institute for Mental Health Policy Research, Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada.
Carolin Kilian *Institute for Mental Health Policy Research, Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada.
Yachen ZhuAlcohol Research Group, Public Health Institute, Emeryville, CA, USA.
Nina MuliaAlcohol Research Group, Public Health Institute, Emeryville, CA, USA.
Charlotte BuckleyDepartment of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, UK.
Aurélie M LasserreInstitute for Mental Health Policy Research, Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada.
Jürgen RehmInstitute for Mental Health Policy Research, Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada.
Charlotte ProbstInstitute for Mental Health Policy Research, Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada. charlotte.probst@camh.ca.
Centre for Addiction and Mental Health · CAAlcohol Research Group · USHeidelberg University · DEPublic Health Institute · USUniversität Hamburg · DEUniversity of Sheffield · GB

Funding

Supplement to a microsimulation of alcohol control interventions to advance health equity and reverse the current decrease in life expectancy in the USR01AA028009 · NIAAA · CENTRE FOR ADDICTION AND MENTAL HEALTH · PI PROBST, CHARLOTTE · 2020 to 2024
$2.4M
NIAAA NIH HHS R01 AA028009NIAAA NIH HHS R01AA028009
6 · The paper itself

Abstract

backgroundRacial and ethnic inequalities in all-cause mortality exist, and individual-level lifestyle factors have been proposed to contribute to these inequalities. In this study, we evaluate the extent to which the association between race and ethnicity and all-cause mortality can be explained by differences in the exposure and vulnerability to harmful effects of different lifestyle factors.

methodsThe 1997-2014 cross-sectional, annual US National Health Interview Survey (NHIS) linked to the 2015 National Death Index was used. NHIS reported on race and ethnicity (non-Hispanic White, non-Hispanic Black, and Hispanic/Latinx), lifestyle factors (alcohol use, smoking, body mass index, physical activity), and covariates (sex, age, education, marital status, survey year). Causal mediation using an additive hazard and marginal structural approach was used.

results465,073 adults (18-85 years) were followed 8.9 years (SD: 5.3); 49,804 deaths were observed. Relative to White adults, Black adults experienced 21.7 (men; 95%CI: 19.9, 23.5) and 11.5 (women; 95%CI: 10.1, 12.9) additional deaths per 10,000 person-years whereas Hispanic/Latinx women experienced 9.3 (95%CI: 8.1, 10.5) fewer deaths per 10,000 person-years; no statistically significant differences were identified between White and Hispanic/Latinx men. Notably, these differences in mortality were partially explained by both differential exposure and differential vulnerability to the lifestyle factors among Black women, while different effects of individual lifestyle factors canceled each other out among Black men and Hispanic/Latinx women.

conclusionsLifestyle factors provide some explanation for racial and ethnic inequalities in all-cause mortality. Greater attention to structural, life course, healthcare, and other factors is needed to understand determinants of inequalities in mortality and to advance health equity.

Indexed as

EthnicityLife StyleMortalityAdolescentAdultAgedAged, 80 and overAlcohol DrinkingCross-Sectional StudiesFemaleHumansMaleMiddle AgedRacial GroupsYoung AdultAlcoholBMIEthnicityHealth behaviorsObesityPhysical activityRaceSmoking

Identifiers

PMID37605166
PMCPMC10464312
OpenAlexW4386046092

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.