Evidence map›Paper›PMID 35195713›Full record

ArticleThe journals of gerontology. Series B, Psychological sciences and social sciences2022

Generational Shifts in Young Adult Cardiovascular Health? Millennials and Generation X in the United States and England.

Melissa L Martinson, Jessica Lapham, Hazal Ercin-Swearinger, Julien O Teitler, Nancy E Reichman

Open access · greenAbstract read
In one paragraph

Article in The journals of gerontology. Series B, Psychological sciences and social sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

12 citing papers in PubMed, 18 citations in OpenAlex.

  1. Trial
  2. Multi-Morbidity at Death and the US Disadvantage in Mortality.European journal of population = Revue europeenne de demographie · 2025
    Article
  3. Article
  4. Article
  5. Article
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  7. Cohort Differences in Physical Health and Disability in the United States and Europe.The journals of gerontology. Series B, Psychological sciences and social sciences · 2024
    Article
  8. Article
  9. Article
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  11. An Introduction to the Supplemental Issue on Why Does Health in the US Continue to Lag Behind.The journals of gerontology. Series B, Psychological sciences and social sciences · 2022
    Article
  12. Older Adults in the United States Have Worse Cardiometabolic Health Compared to England.The journals of gerontology. Series B, Psychological sciences and social sciences · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 2 countries.

Melissa L MartinsonSchool of Social Work, University of Washington, Seattle, Washington, USA.
Jessica LaphamSchool of Social Work, University of Washington, Seattle, Washington, USA.
Hazal Ercin-SwearingerDepartment of Social Work, Cankiri Karatekin University, Cankiri, Turkey.
Julien O TeitlerSchool of Social Work, Columbia University, New York City, New York, USA.
Nancy E ReichmanDepartment of Pediatrics and Child Health Institute of New Jersey, Rutgers University, New Brunswick, New Jersey, USA.
University of Washington · USÇankırı Karatekin University · TRColumbia University · USRutgers, The State University of New Jersey · US

Funding

New Jersey Alliance for Clinical Translational Science: NJ ACTSUL1TR003017 · NCATS · RUTGERS BIOMEDICAL/HEALTH SCIENCES-RBHS · PI PANETTIERI, REYNOLD ALEXANDER · 2019 to 2023
$28.9M
Statistical Data EnclaveP30AG012846 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI VICKI A. FREEDMAN · 1999 to 2026
$23.2M
Scientific/Technical CoreP2CHD042828 · NICHD · UNIVERSITY OF WASHINGTON · PI SARA R. CURRAN · 2017 to 2026
$6.3M
NCATS NIH HHS UL1 TR003017NIA NIH HHS P30 AG012846NICHD NIH HHS P2C HD042828
6 · The paper itself

Abstract

objectivesTo compare cardiovascular (CV) risks/conditions of Millennials (born 1981-1996) to those of Generation X (Gen X; born 1965-1980) at ages 20-34 years, across 2 countries (United States, England), by gender.

methodsUsing data from the National Health and Nutrition Examination Survey (United States) and Health Survey for England, we estimated weighted unadjusted and adjusted gender-specific proportions of CV risk factors/conditions, separately for Millennials and Generation X in each country. We also further calculated sex-specific generational differences in CV risk factor/conditions by income tercile and for individuals with normal body weight.

resultsMillennials in the United States were more obese compared to their Gen X counterparts and more likely to have diabetes risk but less likely to smoke or have high cholesterol. Millennials in England had higher diabetes risk but similar or lower rates of other CV risk/conditions compared to their Gen X counterparts. Generational changes could not be fully attributed to increases in obesity or decreases in income. DISCUSSION: We expected that Millennial CV risk factors/conditions would be worse than those of Gen X, particularly in the United States, because Millennials came of age during the Great Recession and a period of increasing population obesity. Millennials generally fared worse than their Gen X counterparts in terms of obesity and diabetes risk, especially in the United States, but had lower rates of smoking and high cholesterol in both countries. Secular trends of increasing obesity and decreased economic opportunities did not appear to lead to uniform generational differences in CV risk factors.

Indexed as

Diabetes MellitusAge FactorsCholesterolFemaleHumansMaleNutrition SurveysObesityRisk FactorsUnited StatesCholesterolDiabetesGenderHypertensionObesity

Identifiers

PMID35195713
PMCPMC9154229
OpenAlexW4211164368

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.