Evidence map›Paper›PMID 36936601›Full record

ArticleBMJ medicine2022

Associations between patterns of modifiable risk factors in mid-life to late life and longevity: 36 year prospective cohort study.

Ming Ding, Garrett M Fitzmaurice, Mariel Arvizu, Walter C Willett, JoAnn E Manson, Kathryn M Rexrode, Frank B Hu, Jorge E Chavarro

Abstract read
In one paragraph

Article in BMJ medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Article
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  10. Review
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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

8 authors.

Ming DingDepartment of Nutrition, Harvard T H Chan School of Public Health, Boston, MA, USA.ORCID 0000-0001-9947-3446
Garrett M FitzmauriceLaboratory for Psychiatric Biostatistics, McLean Hospital, Harvard Medical School, Boston, MA, USA.
Mariel ArvizuDepartment of Nutrition, Harvard T H Chan School of Public Health, Boston, MA, USA.ORCID 0000-0003-1860-7276
Walter C WillettDepartment of Nutrition, Harvard T H Chan School of Public Health, Boston, MA, USA.
JoAnn E MansonDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Kathryn M RexrodeDivision of Women's Health, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Frank B HuDepartment of Nutrition, Harvard T H Chan School of Public Health, Boston, MA, USA.
Jorge E ChavarroDepartment of Nutrition, Harvard T H Chan School of Public Health, Boston, MA, USA.ORCID 0000-0002-4436-9630

Funding

Transgenic CoreP30DK046200 · NIDDK · TUFTS MEDICAL CENTER · PI CORKEY, BARBARA E. · 1992 to 2021
$25.0M
Long Term Multidisciplinary Study of Cancer in Women: The Nurses Health StudyUM1CA186107 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIASSEN, A. HEATHER, STAMPFER, MEIR · 2014 to 2023
$22.3M
Integrating lifecourse approaches, biologic and digital phenotypes in support of heart and lung disease epidemiologic researchU01HL145386 · NHLBI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI CHAVARRO, JORGE EDUARDO, MANSON, JOANN ELISABETH · 2019 to 2025
$17.8M
Cancer Epidemiology Cohort in Male Health ProfessionalsU01CA167552 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Lorelei Mucci, Walter C. Willett · 2017 to 2026
$17.0M
RISK FACTORS FOR CVD IN WOMENR01HL034594 · NHLBI · TULANE UNIVERSITY OF LOUISIANA · PI JoAnn Elisabeth Manson, Lu Qi · 1985 to 2026
$13.8M
Dietary Etiology of Heart DiseaseR01HL035464 · NHLBI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI ERIC B RIMM, Qi Sun · 1986 to 2026
$13.6M
Risk Factors for Ischemic Stroke in WomenR01HL088521 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI REXRODE, KATHRYN M · 2008 to 2025
$9.9M
Reduction in frequency of drug use as a primary outcome and its relation to changes in health-related and other functional outcomes in stimulant use disorder trialsR33DA042847 · NIDA · MCLEAN HOSPITAL · PI FITZMAURICE, GARRETT M · 2019 to 2021
$1.3M
Examining Trajectories of Lifestyle Factors Associated with Healthy Aging and Longevity Using a Novel Mixture ModelR03AG060247 · NIA · HARVARD SCHOOL OF PUBLIC HEALTH · PI DING, MING · 2018 to 2019
$175k
NCI NIH HHS U01 CA167552NCI NIH HHS UM1 CA186107NHLBI NIH HHS R01 HL034594NHLBI NIH HHS R01 HL035464NHLBI NIH HHS R01 HL088521NHLBI NIH HHS U01 HL145386NIA NIH HHS R03 AG060247NIDA NIH HHS R33 DA042847NIDDK NIH HHS P30 DK046200
6 · The paper itself

Abstract

Objective: To examine the associations between patterns of mid-life to late life modifiable risk factors and longevity. Design: Prospective cohort study. Setting: Data collected from the Nurses' Health Study starting in 1984 and the Health Professionals Follow-up Study starting in 1986. Participants: 85 346 participants from the Nurses' Health Study and the Health Professionals Follow-up Study. Main outcome measures: Death from any cause by 31 October 2020 for the Nurses' Health Study and Health Professionals Follow-up Study. Risk factors investigated were body mass index, physical activity, alcohol intake, smoking status, and quality of diet. Trajectories of each risk factor and trajectories of changes in the risk factor were identified from baseline with smoothing mixture models, and the joint group memberships of participants was used to most efficiently capture patterns of the factor over time. For each risk factor, three trajectories (patterns with high, medium, and low values) and three trajectories of change in the risk factor (patterns with increase, no change, and decrease in the factor from baseline) were assumed, giving nine joint patterns: high-stable, high-increase, high-decrease, medium-stable, medium-increase, medium-decrease, low-stable, low-increase, and low-decrease. Associations between patterns of modifiable risk factors and longevity (age at death ≥85 years) and life expectancy were examined with logistic regression and accelerated failure time models, respectively. Results: The analysis included 85 346 participants, with 46 042 participants achieving longevity and 25 322 participants achieving healthy longevity (those who did not have a diagnosis of cardiovascular disease, type 2 diabetes, or cancer). Mean age at baseline was 56 years (standard deviation 5 years). Maximum longevity was achieved in participants with a low-stable pattern for body mass index (compared with a medium-stable pattern, odds ratio of longevity of 1.05, 95% confidence interval 1.00 to 1.10); those with a medium-increase pattern for physical activity (compared with a medium-stable pattern, odds ratio 1.08, 1.01 to 1.15); those with a medium-stable pattern for alcohol intake (high-increase Conclusions: During mid-life and late life, maximum longevity was achieved in participants who maintained a normal body mass index, never smoked, ate a healthy diet, and had physical activity levels and alcohol consumption that met public health recommendations.

Indexed as

preventive medicine

Identifiers

PMID36936601
PMCPMC9978682

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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.