Fitting Logistic Regression Models in Stratified Case-Control Studies

Objective. To shed light on the association between hyperhomocysteinemia (HHcy) and thoracoabdominal aortic aneurysms (TAAAs). Methods. From July 2013 to March 2017, we conducted a matched case–control study involving individuals who presented to the Chinese People’s Liberation Army General Hospital and underwent thoracoabdominal magnetic resonance angiography or computed tomography angiography. A total of 73 patients with TAAAs were enrolled in the case group, and 219 sex-matched subjects without TAAAs were included in the control group. We then examined the relationship between HHcy and TAAAs by logistic regression models and subgroup as well as interaction analyses. Results. Serum total homocysteine (tHcy) concentrations and the proportion of HHcy were significantly higher in the patients with TAAAs than in those without TAAAs (P<0.001). Furthermore, the multivariate logistic regression models indicated that participants with HHcy had a 2.14-fold higher risk of TAAAs than those with a normal serum tHcy level (adjusted odds ratio (OR), 2.14; 95% confidence interval, 1.00–4.56). Similarly, each 1 μmol/L increase in the serum tHcy concentration was associated with a 4% higher risk of TAAAs (adjusted OR, 1.04; 95% confidence interval, 1.00–1.07). Subgroup analyses indicated that HHcy tended to be associated with a greater risk of TAAAs in all stratified subgroups (adjusted ORs>1). Furthermore, the interaction analyses revealed no interactive role in the association between HHcy and TAAAs. Conclusions. The present case–control study suggests that HHcy is an independent risk factor for TAAAs. Larger prospective cohort studies are warranted to validate these findings.

Download Full-text

A goodness-of-fit test for logistic regression models based on case-control data

Biometrika ◽

10.1093/biomet/84.3.609 ◽

1997 ◽

Vol 84 (3) ◽

pp. 609-618 ◽

Cited By ~ 140

Author(s):

J Qin

Keyword(s):

Logistic Regression ◽

Regression Models ◽

Goodness Of Fit ◽

Case Control ◽

Goodness Of Fit Test ◽

Control Data ◽

Logistic Regression Models

Download Full-text

Yogurt consumption and colorectal polyps

British Journal Of Nutrition ◽

10.1017/s0007114520000550 ◽

2020 ◽

Vol 124 (1) ◽

pp. 80-91

Author(s):

Samara B. Rifkin ◽

Francis M. Giardiello ◽

Xiangzhu Zhu ◽

Linda M. Hylind ◽

Reid M. Ness ◽

...

Keyword(s):

Colorectal Cancer ◽

Regression Models ◽

Hyperplastic Polyp ◽

Multinomial Logistic Regression ◽

Colorectal Polyp ◽

Case Control ◽

Colorectal Polyps ◽

Case Control Studies ◽

Logistic Regression Models ◽

Serrated Polyp

AbstractDiet modifies the risk of colorectal cancer (CRC), and inconclusive evidence suggests that yogurt may protect against CRC. We analysed the data collected from two separate colonoscopy-based case–control studies. The Tennessee Colorectal Polyp Study (TCPS) and Johns Hopkins Biofilm Study included 5446 and 1061 participants, respectively, diagnosed with hyperplastic polyp (HP), sessile serrated polyp, adenomatous polyp (AP) or without any polyps. Multinomial logistic regression models were used to derive OR and 95 % CI to evaluate comparisons between cases and polyp-free controls and case–case comparisons between different polyp types. We evaluated the association between frequency of yogurt intake and probiotic use with the diagnosis of colorectal polyps. In the TCPS, daily yogurt intake v. no/rare intake was associated with decreased odds of HP (OR 0·54; 95 % CI 0·31, 0·95) and weekly yogurt intake was associated with decreased odds of AP among women (OR 0·73; 95 % CI 0·55, 0·98). In the Biofilm Study, both weekly yogurt intake and probiotic use were associated with a non-significant reduction in odds of overall AP (OR 0·75; 95 % CI 0·54, 1·04) and (OR 0·72; 95 % CI 0·49, 1·06) in comparison with no use, respectively. In summary, yogurt intake may be associated with decreased odds of HP and AP and probiotic use may be associated with decreased odds of AP. Further prospective studies are needed to verify these associations.

Download Full-text