Relationship of Gallbladder Diseases with Sociodemographic Characteristics, Lifestyle, and Chronic Diseases in Northeastern China

Int J Environ Res Public Health. 2018 Nov 21;15(11):2596. doi: 10.3390/ijerph15112596.

Abstract

Background: Gallbladder diseases are common in Jilin, China. However, there have been few previous studies on this disease. Our study used the chronic disease database in Jilin Province to study the factors correlated with gallbladder diseases.

Methods: A total of 21,435 people were selected from the Jilin Province adult chronic disease survey conducted in 2012. Multistage stratified random cluster sampling was used in this cross-sectional study. Multiple logistic regression analysis was used to explore the independent associations of different factors with gallbladder diseases.

Results: There were 1876 people with gallbladder diseases, and the prevalence of the diseases was 8.8% (males 4.4%, females 12.8%). Multivariate logistic regression analysis showed that female (prevalence odds ratio (POR) = 3.13, 95% confidence intervals (CIs): 2.76⁻3.55), older people (30⁻45 years (POR = 2.79, 95% CIs: 2.06⁻3.77), 45⁻60 years (POR = 4.26, 95% CIs: 3.17⁻5.73), 60⁻79 years (POR = 4.72, 95% CIs: 3.48⁻6.41)), people living in rural areas (POR = 1.65, 95% CIs: 1.49⁻1.82), smoking (current smoker (POR = 1.15, 95% CIs: 1.01⁻1.31), former smoker (POR = 1.37, 95% CIs: 1.13⁻1.66)), high frequency of eating seafood (POR = 0.77, 95% CIs: 0.63⁻0.93), and high frequency of eating soy products (POR = 0.50, 95% CIs: 0.44⁻0.58) were associated with gallbladder diseases.

Conclusions: We found that there were some factors associated with gallbladder disease, and there needs to be further studies to confirm these associations.

Keywords: cross-sectional study; gallbladder disease; relationship.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • China / epidemiology
  • Chronic Disease*
  • Cross-Sectional Studies
  • Demography
  • Female
  • Gallbladder Diseases / etiology*
  • Health Surveys
  • Humans
  • Life Style*
  • Logistic Models
  • Male
  • Middle Aged
  • Odds Ratio
  • Prevalence
  • Rural Population / statistics & numerical data
  • Smoking / epidemiology
  • Social Class