PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 1, 2019Frontiers in Neurology30 citationsOpen Access

Age- and Sex-Associated Impacts of Body Mass Index on Stroke Type Risk: A 27-Year Prospective Cohort Study in a Low-Income Population in China

HGHongfei GuSSShuang ShaoJLJie Liu

Key Result

Being overweight at baseline significantly increased the risk of total stroke (HR 1.48) compared to normal weight over a 27-year follow-up in a low-income Chinese population.

Study Design

Type

Cohort (n=3,906)

Multicenter

No

Structured PICO

Does abnormal body mass index increase the risk of specific stroke types in a low-income Chinese population?

P
Population
3,906 participants from a low-income, poorly educated population in rural China
I
Intervention
Abnormal Body Mass Index (BMI) categories (overweight, obesity, underweight)
C
Comparator
Normal-weight individuals
O
Outcome
Incidence of stroke types (total stroke, ischemic stroke, and hemorrhagic stroke)hard clinical

Being overweight or obese significantly increases the risk of various stroke subtypes in both men and women under 65 years old in rural China, highlighting the need for weight management.

Main Result

Effect estimate: HR 1.48 (95% CI 1.24-1.77)

p-value: p=<0.001

Limitations

  • Study population from a single township in northern China is not representative of the national population.
  • Low-income and low education levels of the rural population may limit generalization.
  • Small number of stroke events may have decreased statistical power.
  • Incomplete data on medication use.
  • Lack of baseline dyslipidemia data.
  • BMI assessed only at baseline, without accounting for central obesity or BMI variation over time.

Abstract

The relationship between body mass index (BMI) and stroke type has remained controversial despite studies demonstrating that BMI is related to stroke risk, especially in specific groups. We assessed the age- and sex-associated impacts of BMI on stroke type in a low-income, poorly educated population in China. The association of BMI with stroke type was estimated using Cox regression analyses in this prospective cohort study, after adjusting for sex, age, education level, hypertension, diabetes, smoking and alcohol drinking status. During the follow-up period, 638 stroke cases occurred among the 3906 participants included in this prospective study. For men aged <65years, being overweight was an independent predictor of all stroke subtypes, compared with normal-weight individuals; the hazard ratios (HRs) and 95% confidence intervals (CIs) were 1.98 (1.52–2.58) for total stroke, 1.69 (1.22–2.33) for ischemic stroke, and 3.62 (2.09–6.25) for hemorrhagic stroke, all P<0.001. Being underweight was also an independent predictor of hemorrhagic stroke (HR, 5.10; 95%CI, 1.80–14.50, P=0.002). For women <65-years-old, being overweight was a risk factor for total (HR, 1.38; 95%CI, 1.01–1.89; P=0.044) and hemorrhagic (HR, 2.06; 95% CI, 1.00–4.28; P=0.050) strokes; obesity was a risk factor for total (HR, 2.47; 95% CI, 1.60–3.82) and ischemic (HR, 2.53;95%CI, 1.54–4.15) strokes, all P<0.001. These findings suggest that weight management should be a high priority for substantially reducing the heavy burden of strokes in rural China among both men and women <65-years-old; men<65-years-old should maintain their weight within a reasonable range.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Gu et al. (2019) conducted a cohort in Stroke (n=3,906). Overweight (BMI 24-27.9 kg/m2) vs. Normal weight (BMI 18-23.9 kg/m2) was evaluated on Total stroke (HR 1.48, 95% CI 1.24-1.77, p=<0.001). Being overweight at baseline significantly increased the risk of total stroke (HR 1.48) compared to normal weight over a 27-year follow-up in a low-income Chinese population.

synapsesocial.com/papers/6a12067653eb82a3c9b4cbc6https://doi.org/10.3389/fneur.2019.00456
Ask AI
Helpful
Bookmark
Share
View Full Paper