Evidence mapPaperPMID 39719571Full record

ArticleBMC public health2024

Association between the female hormone intake and cardiovascular disease in the women: a study based on NHANES 1999-2020.

Shenao Qu, Zhixuan Zhang, Ran Ju, Zhuoqun Li, Jing Leng, Zihan Xue, Xuan Han, Shiran Tao, Yi Lv, Nana Zhang

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Shenao Qu *Center for Regenerative and Reconstructive Medicine, Med-X Institute of Western China Science and Technology Innovation Harbour, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, China.
Zhixuan Zhang *Center for Regenerative and Reconstructive Medicine, Med-X Institute of Western China Science and Technology Innovation Harbour, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, China.
Ran JuCenter for Regenerative and Reconstructive Medicine, Med-X Institute of Western China Science and Technology Innovation Harbour, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, China.
Zhuoqun LiNational Local Joint Engineering Research Center for Precision Surgery and Regenerative Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710061, China.
Jing LengXi'an Jiaotong University Health Science Center, Xi'an, 710061, China.
Zihan XueXi'an Jiaotong University Health Science Center, Xi'an, 710061, China.
Xuan HanNational Local Joint Engineering Research Center for Precision Surgery and Regenerative Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710061, China.
Shiran TaoXi'an Jiaotong University Health Science Center, Xi'an, 710061, China.
Yi LvCenter for Regenerative and Reconstructive Medicine, Med-X Institute of Western China Science and Technology Innovation Harbour, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, China. luyi169@126.com.
Nana ZhangCenter for Regenerative and Reconstructive Medicine, Med-X Institute of Western China Science and Technology Innovation Harbour, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, China. znn164503047@mail.xjtu.edu.cn.

Funding

National Natural Science Foundation of China 82202297Natural Science Basic Research Program of Shaanxi Province 2022JQ-914
6 · The paper itself

Abstract

Although many studies have reported the relationship between female hormone intake and cardiovascular disease (CVD) development, their association has not been fully elucidated and defined, based on data from the Third National Health and Nutrition Examination Survey intending to assess the health and nutritional status of non-institutionalized children and adults in the United States. This study examined the relationship between female hormone intake and coronary artery disease (CVD) development in 38,745 women, averaging 38.10 ± 12.59 years in age. We explored the association between hormone intake and CVD incidence, considering various social determinants of health (SDOH) with statistical methods like Chi-square tests, logistic regression, and stratified Chi-square analysis. Our findings reveal a complex relationship between female hormone intake and CVD development. Hormones appear to reduce CVD risk in women over 60 years old. However, hormone intake correlates with increased CVD risk in highly educated women. Socioeconomic status also influences this relationship; while hormones pose a risk factor for heart failure and stroke in impoverished or wealthy women, they serve as a protective factor against CVD for middle-income women. Additionally, hormonal intake seems beneficial for women who experienced menarche between 13 and 15 years old, menopause between 30 and 49, and had 7-9 pregnancies, especially when coupled with a diet low in sugar, fat, cholesterol, and adequate folic acid intake. These results indicate that while hormones can prevent CVD under specific conditions, their impact can be detrimental in different SDOH contexts. In conclusion, while appropriate hormone intake can prevent CVD, its effects vary across different demographic and health backgrounds. This underscores the necessity for meticulous screening of SDOH factors in clinical settings to maximize the protective benefits of hormones against CVD.

Indexed as

Cardiovascular DiseasesNutrition SurveysAdultFemaleHumansIncidenceMiddle AgedRisk FactorsUnited StatesYoung AdultCardiovascular diseaseFemale hormone intakeNHANESSDOH factor

Identifiers

PMID39719571
PMCPMC11667859

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.