ABSTRACT
BACKGROUND: Inflammatory bowel disease (IBD) as a chronic and debilitating disease is affected by sleep disturbance which increases the risk of malignancy. Sleep disturbance is more common in irritable bowel syndrome (IBS) and few reported studies have assessed its role in IBD. We evaluated the effect of IBS on sleep quality and quality of life (QOL) of IBD patients in clinical remission. METHODS: In a cross-sectional study, 115 IBD patients in clinical remission aged from 14 to 70 years referred to gastroenterology outpatient departments and private gastroenterology offices from 2007 to 2016. Patients considered in four groups (with/without IBS). The Revised "Rome III criteria" used for diagnosing IBS. Pittsburgh Sleep Quality Index questionnaire and the health-related QOL questionnaire used for evaluating sleep quality and QOL. RESULTS: About 85 (73.9%) cases had ulcerative colitis (UC) and 30 (26.1%) cases had Crohn's disease (CD). Forty (34.8%) cases had IBD + IBS. Poor sleep quality in UC + IBS (OR: 0.018, P = 0.003) and UC (OR: 0.016, P = 0.002) was less than CD. Diseases extent in left side colitis (OR: 0.064, P = 0.016) were less than with pancolitis. Sleep quality affected by quality of life (IBDQ) (P = 0.048). Mean quality of life (IBDQ) in patients who had poor sleep was 11% less than those with good sleep. CONCLUSIONS: The syndrome of IBS affects the sleep quality of IBD in clinical remission, especially in CD. Its additive effect with IBD may worsen symptoms that correlated with sleep disturbance, such as pain, psychological and physical condition, and QOL.
ABSTRACT
BACKGROUND: Mood variation in manic and depression phases during time is common in type I of Bipolar disorder. Analyzing recurrence require to the related statistical methods. In this paper, we compare the two methods of estimating the GEE and the QIF in recurrence data. METHODS: In this study, data of 255 patients with Bipolar I disorder hospitalized during years of 2007-2011. Recurrence in Bipolar I disorder was as outcome. Patients' characteristics were gender, age of onset, recurrence history in first degree family, and economic status. Under simulation, percentage of missing were generated to vary and handled by complete-case(cc) strategy. Data were analyzed using GEE and QIF methods. Performance of the methods was assessed using Relative Efficiency. RESULTS: QIF method had more efficiency than GEE method in the data with missing /without missing. Odds of recurrence in a first-degree family history was 30% more than those without a family history (p=0.009). Also, odds of recurrence in high/moderate level of economic status was 23% more than low level status (p=0.014). CONCLUSION: QIF method was more appropriated for modeling recurrence during time with the structure of more correlation and low dropout rate in data. Family history and economic status were more affected recurrence in type I of Bipolar disorder.
