Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
April 26, 2022Frontiers in Cardiovascular MedicineOpen Access

Risk for Cardiovascular Death Associated With Waist Circumference and Diabetes: A 9-Year Prospective Study in the Wan Shou Lu Cohort

View Full Paper
Ask AI
Bookmark
Share

Key result

High waist circumference with diabetes linked to ~278% greater cardiovascular death risk.

  • HR 3.78
  • 95% CI 3.35-3.98
  • P<0.001
  • n=1,521

Why the study?

Few studies have investigated the long-term prognostic value of both waist circumference and diabetes for predicting cardiovascular mortality in the general population.

Does high waist circumference combined with diabetes increase the risk of cardiovascular death in a general population free of baseline CVD?

Population

1,521 consecutive subjects free of clinical CVD

Comparison

Different WC levels with or without diabetes

Design

Prospective cohort study

Follow-up

Median 9.2 years

Authors

MLMan LiPZPing ZhuSWShuxia Wang

Discussion

Loading...

Member takes

Overview

Supports refined CV risk stratification with waist circumference in diabetes; hypothesis-generating pending prospective validation.

Study Design

Type

Cohort (n=1,521)

Multicenter

No

Structured PICO

Does high waist circumference combined with diabetes increase the risk of cardiovascular death in a general population free of baseline CVD?

P
Population
1,521 consecutive subjects free of clinical cardiovascular disease from the Wan Shou Lu Street cohort, mean age 70.96, 59.4% male, China-based. Key exclusion criteria: history of stroke, CVD, or cancer, and comorbidities leading to changes in abdominal circumference measurement.
I
Intervention
High waist circumference (>94 cm) coexisting with diabetes mellitus
C
Comparator
Lower waist circumference levels (<82 cm or 82-94 cm) without diabetes mellitus
O
Outcome
Cardiovascular death (defined as deaths caused by coronary heart disease or stroke and deaths that cannot be classified without evidence of the source)hard clinical

Main Result

Effect estimate: HR 3.78 (95% CI 3.35-3.98)

Absolute Event Rate: 27.6% vs 11.8%

p-value: p=<0.001

The coexistence of high waist circumference and diabetes significantly increases the risk of cardiovascular death, providing incremental prognostic value beyond traditional risk factors.

Limitations

  • Waist circumference was only calculated at baseline without reevaluation during follow-up
  • All included patients were Asians, which may limit generalizability to other populations
  • Lack of gold standard methods for assessing abdominal obesity, such as CT or MRI

Cite This Study

Li et al. (2022) conducted a cohort in General population free of clinical cardiovascular disease (n=1,521). High waist circumference (>94 cm) and diabetes vs. Low waist circumference (<82 cm) without diabetes was evaluated on Cardiovascular death (HR 3.78, 95% CI 3.35-3.98, p=<0.001). High waist circumference (>94 cm) coexisting with diabetes significantly increased the risk of cardiovascular death compared to low waist circumference without diabetes (HR 3.78).

synapsesocial.com/papers/6a13d25d1cc64fde2ef189e8https://doi.org/10.3389/fcvm.2022.856517
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1The Impact Of Waist Circumference And Diabetes On Incident Of Cardiovascular Death During 9 Years Of Follow Up In General Population2021
  2. 2The Impact of Waist Circumference on Incident of Cardiovascular Death During 9 Years of Follow Up in General Population2021
  3. 3Association of waist circumference with all-cause and cardiovascular mortality in diabetes from National Health and Nutrition Examination Survey 2003-20182024
  4. 4The association between weight-adjusted waist circumference index and cardiovascular disease and mortality in patients with diabetes2024 · 29 citations
  5. 5Clinical Utility of Waist Circumference in Predicting All‐cause Mortality in a Preventive Cardiology Clinic Population: A PreCIS Database Study2009 · 37 citations