Evidence map›Paper›PMID 32785256›Full record

ArticlePloS one2020

Lifestyle and behavioral factors and mitochondrial DNA copy number in a diverse cohort of mid-life and older adults.

Chirag M Vyas, Soshiro Ogata, Charles F Reynolds, David Mischoulon, Grace Chang, Nancy R Cook, JoAnn E Manson, Marta Crous-Bou, Immaculata De Vivo, Olivia I Okereke

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–field-weighted citation impact
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

26 citing papers in PubMed.

  1. Review
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  14. Biomarkers of aging.Science China. Life sciences · 2023
    Review
  15. Review
  16. Article
  17. Article
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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

10 authors.

Chirag M VyasDepartment of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America.ORCID 0000-0002-4262-2786
Soshiro OgataChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America.
Charles F ReynoldsDepartment of Psychiatry, UPMC and University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, United States of America.
David MischoulonDepartment of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America.
Grace ChangDepartment of Psychiatry, VA Boston Healthcare System, Brockton, Massachusetts, United States of America.
Nancy R CookDivision of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America.
JoAnn E MansonChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America.
Marta Crous-BouDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America.
Immaculata De VivoChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America.
Olivia I OkerekeDepartment of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America.

Funding

Harvard Clinical and Translational Science CenterUL1TR001102 · NCATS · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2013 to 2017
$106.2M
The Harvard Clinical and Translational Science CenterUL1TR002541 · NCATS · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2018 to 2022
$93.0M
VITamin D and omegA-3 triaL (VITAL)U01CA138962 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI BURING, JULIE E., MANSON, JOANN ELISABETH · 2009 to 2014
$23.6M
The VITamin D and OmegA-3 TriaL (VITAL)R01CA138962 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI BURING, JULIE E., MANSON, JOANN ELISABETH · 2015 to 2019
$20.9M
RESEARCH METHODS COREP30MH090333 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REYNOLDS, CHARLES F · 2011 to 2015
$8.3M
VITAL-DEP: Depression Endpoint Prevention in the VITamin D and OmegA-3 TriaLR01MH091448 · NIMH · BRIGHAM AND WOMEN'S HOSPITAL · PI OKEREKE, OLIVIA IFEOMA · 2010 to 2019
$6.5M
Vitamin D and Fish Oil for Autoimmune Disease, Inflammation and Joint PainR01AR059086 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI COSTENBADER, KAREN H · 2010 to 2021
$5.4M
Randomized trial of vitamin D and omega-3 fatty acids for diabetic kidney diseaseR01DK088762 · NIDDK · UNIVERSITY OF WASHINGTON · PI DE BOER, IAN H · 2010 to 2019
$4.7M
Effect of Vitamin D and Omega-3 Fatty Acids on Blood Pressure and HypertensionR01HL102122 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI FORMAN, JOHN P, SESSO, HOWARD D · 2011 to 2016
$3.3M
Lung VITamin D and OmegA-3 TriaL (Lung VITAL)R01HL101932 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI GOLD, DIANE R · 2010 to 2014
$3.2M
A Large Randomized Trial of Vitamin D, Omega-3 Fatty Acids and Cognitive DeclineR01AG036755 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI KANG, JAE H · 2010 to 2015
$2.6M
Novel Associations of Anxiety, Depression and Telomeres across Mid- and Late-LifeR01MH096776 · NIMH · BRIGHAM AND WOMEN'S HOSPITAL · PI OKEREKE, OLIVIA IFEOMA · 2013 to 2016
$2.0M
NCATS NIH HHS UL1 TR001102NCATS NIH HHS UL1 TR002541NCI NIH HHS R01 CA138962NCI NIH HHS U01 CA138962NHLBI NIH HHS R01 HL101932NHLBI NIH HHS R01 HL102122NIAMS NIH HHS R01 AR059086NIAMS NIH HHS R01 AR060574NIA NIH HHS R01 AG036755NIDDK NIH HHS R01 DK088762NIMH NIH HHS P30 MH090333NIMH NIH HHS R01 MH091448NIMH NIH HHS R01 MH096776
6 · The paper itself

Abstract

Mitochondrial DNA copy number (mtDNAcn) is a putative biomarker of oxidative stress and biological aging. Modifiable factors, including physical activity (PA), avoidance of heavy alcohol use and smoking, and maintaining good mental health, may reduce oxidative stress and promote healthy aging. Yet, limited data exist regarding how these factors are associated with mtDNAcn or whether age, sex or race/ethnicity moderate associations. In this cross-sectional study, we selected 391 adults (183 non-Hispanic White, 110 Black and 98 Hispanic; mean = 67 years) from the VITAL-DEP (VITamin D and OmegA-3 TriaL-Depression Endpoint Prevention) ancillary to the VITAL trial. We estimated associations between lifestyle and behavioral factors (PA, alcohol consumption, cigarette smoking and depression) and log-transformed mtDNAcn using multivariable linear regression models. MtDNAcn was not correlated with chronological age; women had ~17% higher mtDNAcn compared to men. There were no significant associations between PA measures (frequency, amount or intensity) or alcohol consumption with mtDNAcn. Cigarette smoking (per 5 pack-years) was significantly associated with mtDNAcn (percent difference = -2.9% (95% confidence interval (CI) = -5.4%, -0.4%)); a large contrast was observed among heavy vs. non-smokers (≥30 vs. 0 pack-years): percent difference = -28.5% (95% CI = -44.2%, -8.3%). The estimate of mtDNAcn was suggestively different for past vs. no depression history (percent difference = -15.1% 95% CI = -30.8%, 4.1%), but this difference was not statistically significant. The association between smoking and log-mtDNAcn varied by sex and race/ethnicity; it was stronger in men and Black participants. While chance findings cannot be excluded, results from this study support associations of smoking, but not chronological age, with mtDNAcn and suggest nuanced considerations of mtDNAcn as indicative of varying oxidative stress states vs. biological aging itself.

Indexed as

DNA Copy Number VariationsLife StyleAgedAgingAlcohol DrinkingCigarette SmokingCross-Sectional StudiesDepressionDNA, MitochondrialExerciseFemaleHumansMaleMiddle AgedDNA, Mitochondrial

Identifiers

PMID32785256
PMCPMC7423118

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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.