Background The epidemiology of Functional abdominal bloating (FAB) and its impact on health-related quality of life (HRQoL) in Chinese people remains unclear. Methods Randomised, stratified, multi-stage sampling methodology was used to select a representative sample of the general population from five cities in China (n = 16,078). All respondents completed the modified Rome II questionnaire; 20% were asked to complete the 36-item Short Form (SF-36). The associated factors of FAB were analyzed. The effects of FAB on HRQoL were estimated with gender stratification using propensity score techniques in 20% subsample. Results Overall, 643 individuals (4.00%) had FAB and it was more prevalent in males than in females (4.87% vs. 3.04%, P<0.001). For males, self-reported history of dyspepsia was most strongly associated with FAB (OR = 2.78; 95% CI: 1.59, 4.72). However, the most strongly associated factor was self-reported health status for females (moderate health vs. good health: OR = 2.06, 95% CI: 1.07, 3.96. P = 0.030; poor health vs. good health: OR = 5.71, 95% CI: 2.06, 15.09). Concerning HRQoL, FAB was found to be related to two domains: role limitation due to physical problems (P = 0.030) and bodily pain (P<0.001) in females. While, in males, there were significant differences in multiple domains between those with and without FAB. Conclusion The prevalence of FAB in China was lower than previous reports. Males who had ever been diagnosed with dyspepsia and females who were in a poor self-reported health status were correlated with a higher prevalence of FAB. FAB affected only physical health in females, but impaired both physical and mental health in males.
Drossman DA, Li Z, Andruzzi E, Temple R, Talley N, et al. (1993) U.S. householder survey of functional gastrointestinal disorders. Prevalence, sociodemography, and health impact. Dig Dis Sci 38(9): 1569–1580. doi: 10.1007/bf01303162
Schmulson M, Chang L (2011) Review article: the treatment of functional abdominal bloating and distension. Alimentary pharmacology & therapeutics 33(10): 1071–1086. doi: 10.1111/j.1365-2036.2011.04637.x
Xia J, Sun T, Li X, Cao Y, Liu C, et al. (2012) Investigate the mobidity and the related factors of functional gastrointestinal disorders in officers and soldiers at grass-roots units of some troops. Journal of Naval General Hospital 23(4): 3.
Tuteja AK, Talley NJ, Joos SK, Tolman KG, Hickam DH (2008) Abdominal bloating in employed adults: prevalence, risk factors, and association with other bowel disorders. The American journal of gastroenterology 103(5): 1241–1248. doi: 10.1111/j.1572-0241.2007.01755.x
Penson DF (2003) General Quality of Life 2 Years Following Treatment for Prostate Cancer: What Influences Outcomes? Results From the Prostate Cancer Outcomes Study. Journal of Clinical Oncology 21(6): 1147–1154. doi: 10.1200/jco.2003.07.139
Hoffman RM, Barry MJ, Stanford JL, Hamilton AS, Hunt WC, et al. (2006) Health outcomes in older men with localized prostate cancer: results from the Prostate Cancer Outcomes Study. Am J Med 119(5): 418–425. doi: 10.1016/j.amjmed.2005.06.072
Kutner NG, Zhang R, Barnhart H, Collins A (2005) Health status and quality of life reported by incident patients after 1 year on haemodialysis or peritoneal dialysis. Nephrol Dial Transplant 20(10): 2159–2167. doi: 10.1093/ndt/gfh973
Yan X, Wang R, Zhao Y, Ma X, Fang J, et al. (2009) Systematic investigation of gastrointestinal diseases in China (SILC): validation of survey methodology. BMC gastroenterology 9: 86. doi: 10.1186/1471-230x-9-86
Li L, Wang HM, Shen Y (2003) Chinese SF-36 Health Survey: translation, cultural adaptation, validation, and normalisation. Journal of epidemiology and community health 57(4): 259–263. doi: 10.1136/jech.57.4.259
Zhao YF, Ma XQ, Wang R, Yan XY, Li Z, et al. (2011) Epidemiology of functional constipation and comparison with constipation-predominant irritable bowel syndrome: the Systematic Investigation of Gastrointestinal Diseases in China (SILC). Alimentary pharmacology & therapeutics 34(8): 1020–1029. doi: 10.1111/j.1365-2036.2011.04809.x
Harder VS, Stuart EA, Anthony JC (2008) Adolescent cannabis problems and young adult depression: male-female stratified propensity score analyses. American journal of epidemiology 168(6): 592–601. doi: 10.1093/aje/kwn184
Harder VS, Stuart EA, Anthony JC (2010) Propensity score techniques and the assessment of measured covariate balance to test causal associations in psychological research. Psychological methods 15(3): 234–249. doi: 10.1037/a0019623
HO D SE, Imai K,King G, Stuart E (2011) MatchIt 2.4-20: Nonparametric Preprocessing for Parametric Casual Inference. Available: http://cran.r-project.org/web/packages/M？atchIt/index.html Accessed 2012 May 12
Ridgeway G MD, McCaffrey D, Morra A, Ann B, Burgette L (2012) Twang 1.2–4: Toolkit for Weighting and Analysis of Nonequivalent Groups. Available: http://cran.r-project.org/web/packages/t？wang/index.html Accessed 2012 May 12.
Fang H, Johnson C, Chevalier N, Stopp C, Wiebe S (2010) Using propensity score modeling to minimize the influence of confounding risks related to prenatal tobacco exposure. Nicotine Tob Res 12(12): 1211–1219. doi: 10.1093/ntr/ntq170
Johnsen R, Jacobsen BK, Forde OH (1986) Associations between symptoms of irritable colon and psychological and social conditions and lifestyle. Br Med J (Clin Res Ed) 292(6536): 1633–1635. doi: 10.1136/bmj.292.6536.1633
Walker EA, Katon WJ, Jemelka RP, Roy-Bryne PP (1992) Comorbidity of gastrointestinal complaints, depression, and anxiety in the Epidemiologic Catchment Area (ECA) Study. Am J Med 92(1A): 26S–30S. doi: 10.1016/0002-9343(92)90133-v