Evidence map›Paper›PMID 29524110›Full record

SynthesisEuropean journal of epidemiology2018

Lifestyle factors, cardiovascular disease and all-cause mortality in middle-aged and elderly women: a systematic review and meta-analysis.

Verônica Colpani, Cristina P Baena, Loes Jaspers, Gabriella M van Dijk, Ziba Farajzadegan, Klodian Dhana, Myrte J Tielemans, Trudy Voortman, Rosanne Freak-Poli, Gilson G V Veloso and 4 more

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in European journal of epidemiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 137 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
137citing papers in PubMed, 9 pooled it
–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

137 citing papers in PubMed, 9 syntheses or guidelines pooled it.

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77 more citing papers are in PubMed but not listed here.

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

14 authors.

Verônica ColpaniDepartment of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands. vecolpani@gmail.com.
Cristina P BaenaDepartment of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.
Loes JaspersDepartment of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.
Gabriella M van DijkDepartment of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.
Ziba FarajzadeganDepartment of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.
Klodian DhanaDepartment of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.
Myrte J TielemansDepartment of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.
Trudy VoortmanDepartment of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.
Rosanne Freak-PoliDepartment of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.
Gilson G V VelosoDepartment of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.
Rajiv ChowdhuryDepartment of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Maryam KavousiDepartment of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.
Taulant MukaDepartment of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.
Oscar H FrancoDepartment of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.

Funding

British Heart Foundation RG/13/13/30194Medical Research Council MR/L003120/1
6 · The paper itself

Abstract

Cardiovascular disease (CVD) risk factors, incidence and death increases from around the time of menopause comparing to women in reproductive age. A healthy lifestyle can prevent CVD, but it is unclear which lifestyle factors may help maintain and improve cardiovascular health for women after menopausal transition. We conducted a systematic review and meta-analysis of prospective cohort studies to evaluate the association between modifiable lifestyle factors (specifically smoking, physical activity, alcohol intake, and obesity), with CVD and mortality in middle-aged and elderly women. Pubmed, Embase, among other databases and reference lists were searched until February 29th, 2016. Study specific relative risks (RR) were meta-analyzed using random effect models. We included 59 studies involving 5,358,902 women. Comparing current versus never smokers, pooled RR were 3.12 (95% CI 2.15-4.52) for CHD incidence, 2.09 (95% CI 1.51-2.89) for stroke incidence, 2.76 (95% CI 1.62-4.71) for CVD mortality and 2.22 (95% CI 1.92-2.57) for all-cause mortality. Physical activity was associated with a decreased risk of 0.74 (95% CI 0.67-0.80) for overall CVD, 0.71 (95% CI 0.67-0.75) for CHD, 0.77 (95% CI 0.70-0.85) for stroke, 0.70 (95% CI 0.58-0.84) for CVD mortality and 0.71 (95% CI 0.65-0.78) for all-cause mortality. Comparing moderate drinkers versus non-drinkers, the RR was 0.72 (95% CI 0.56-0.91) for CHD, 0.63 (95% CI 0.57-0.71) for CVD mortality and 0.80 (95% CI 0.76-0.84) for all-cause mortality. For women with BMI 30-35 kg/m

Indexed as

ExerciseLife StyleMenopauseAgedCardiovascular DiseasesCause of DeathFemaleHumansMiddle AgedObesityRisk Reduction BehaviorStrokeCardiovascular diseaseLifestyleMenopauseMortalityWomen

Identifiers

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.