Evidence map›Paper›PMID 40497069›Full record

ArticlePublic health challenges2024

Lifestyle choices among women with breast cancer in the United States.

Chloé Michel, Michelle Sovinsky, Steven Stern

Abstract read
In one paragraph

Article in Public health challenges, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

3 authors.

Chloé MichelSwiss Re Zurich Switzerland.
Michelle SovinskyDepartment of Economics University of Mannheim Mannheim Germany.ORCID https://orcid.org/0000-0002-6081-2663
Steven SternDepartment of Economics Stony Brook University Stony Brook New York USA.

Funding

Family Dynamics, Fertility, and Investments in Children Across Generations - Administrative SupplementR01HD069609 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Thomas Fraser Crossley · 2011 to 2026
$14.2M
NICHD NIH HHS R01 HD069609
6 · The paper itself

Abstract

Introduction: Breast cancer is a common form of cancer for women. The goal of this research was to estimate how a breast cancer diagnosis affects a woman's decisions about smoking, alcohol use, and exercise. Methods: Using data from the Panel Study of Income Dynamics on breast cancer diagnosis and lifestyle choices, we estimated how being diagnosed influences smoking, drinking, and exercising habits for more than 8000 women over the period 1999-2011. Results: Controlling for unobserved heterogeneity, persistence in behaviors, and correlation across behaviors, we found that the impact of a diagnosis had a different effect on smoking, drinking, and exercising behaviors. Furthermore, the impact depended upon the recency of the diagnosis. Recently diagnosed women exercised and smoked less-an average woman in our sample reduced exercise by 19% and smoking by 1%. However, women with breast cancer did not change their drinking habits relative to healthy women. Conclusions: A diagnosis of breast cancer impacts lifestyle choices. Women who were diagnosed with breast cancer in the last 5 years exercised and smoked less but did not change their alcohol consumption after a breast cancer diagnosis regardless of when the diagnosis was made. Our approach provides insight into what extent women who are faced with negative information about life expectancy take this into consideration when deciding to engage in risky behaviors that might further affect their survival. Whether to engage in physical activity, drink alcohol, or smoke are choices associated with how to live.

Indexed as

breast cancerhealth economicsrisky health behavior

Identifiers

PMID40497069
PMCPMC12060761

What OpenQuestion holds

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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.