34 research outputs found
Gynecological cancer profile in the Yaounde population, Cameroon
This population-based retrospective study was carried out in the Yaounde Population Cancer Registry (YPCR) at the General Hospital Yaounde, Cameroon. The aim was to find out the socio-economic, epidemiologic, anatomic and pathologic profile of patients with gynecological cancers in the Yaounde population. The database of the registry was reviewed between January 1, 2004 and June 30 2005 (18 months). All cases of microscopically confirmed gynecological cancers registered within this period were recruited. Defined as gynecological cancers are cancers of the breast (in women), ovary, uterine corpus, vulva, vagina, and cervix. The results showed that gynecological cancers have a monthly incidence of 30 cases. Whereas cancers of the placenta, vagina, breast, and ovary affect younger adults, endometrial, vulval and cervical cancers predominate in the elderly. 58% of the women were aged between 34-54 years. Most patients are from the West (30.55%), Centre (28.90%) and Littoral (10.00%) provinces respectively. The commonest cancers are the breast (48.12%), cervix (40.18%), and ovary (5.82%) at respective average ages of 42.80 years (19-76 years range), 53.08 years (24-78 years range) and 44.22 years (9-75 years range). Cancers of the uterine corpus are rare. Most patients were illiterate, of low to average socio-economic status, presenting at advanced stage of disease. Cancer of the breast is common in the upper social class; while malignancies of the cervix, endometrium, and vagina predominate in the low and middle classes. Only 17.5% of our patients had been previously screened for any form of cancer prior to present disease. We had no data on family history of cancer. We recommend intensive public health education and sensitization of women on primary and secondary prevention especially for cervical and breast cancers. Gynaecological services should be vulgarized and existing ones improved with defined referral and counter referral systems. Further in-depth studies to document trends on cancer survival are recommended. Clinics in Mother and Child Health Vol. 3(1) 2006: 437-44
Physical activity and all-cause and cause-specific mortality: assessing the impact of reverse causation and measurement error in two large prospective cohorts
Most cohort studies have only a single physical activity (PA) measure and are thus susceptible to reverse causation and measurement error. Few studies have examined the impact of these potential biases on the association between PA and mortality. A total of 133,819 participants from Nurses’ Health Study and Health Professionals Follow-up Study (1986–2014) reported PA through biennial questionnaires. Cox regression was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for PA and mortality using different analytic approaches comparing single (baseline, simple update = most recent) versus repeated (cumulative average) measures of PA and applying various lag times separating PA measurement and time at risk. Over 3.2 million person-years, we documented 47,273 deaths. The pooled multivariable-adjusted HR (95% CI) of all-cause mortality per 10 MET-hour/week was 0.95 (0.94–0.96) for baseline PA, 0.78 (0.77–0.79) for simple updated PA and 0.87 (0.86–0.88) for cumulative average PA in the range of 0–50 MET-hour/week. Simple updated PA showed the strongest inverse association, suggesting larger impact of reverse causation. Application of 2-year lag substantially reduced the apparent reverse causation (0.85 (0.84–0.86) for simple updated PA and 0.90 (0.89–0.91) for cumulative average PA), and 4–12-year lags had minimal additional effects. In the dose–response analysis, baseline or simple updated PA showed a J or U-shaped association with all-cause mortality while cumulative average PA showed an inverse association across a wide range of PA (0–150 MET-hour/week). Similar findings were observed for different specific mortality causes. In conclusion, PA measured at baseline or with short lag time was prone to bias. Cumulative average PA showed robust evidence that PA is inversely associated with mortality in a dose-response manner
Dietary inflammatory index and risk of colorectal adenoma: effect measure modification by race, nonsteroidal anti-inflammatory drugs, cigarette smoking and body mass index?
Post-diagnosis dietary insulinemic potential and survival outcomes among colorectal cancer patients
The association of insulinemic potential of diet and lifestyle with the risk of insulin-related disorders: a prospective cohort study among participants of Tehran Lipid and Glucose Study
Does the inflammatory potential of diet affect disease activity in patients with inflammatory bowel disease?
Dietary Inflammatory Index and Risk of Esophageal Squamous Cell Cancer in a Case-Control Study from Iran
High Dietary Inflammatory Index Is Associated With Increased Plaque Vulnerability of Carotid in Patients With Ischemic Stroke
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Construct validation of the dietary inflammatory index among postmenopausal women
Purpose: Many dietary factors have either proinflammatory or anti-inflammatory properties. We previously developed a dietary inflammatory index (DII) to assess the inflammatory potential of diet. In this study, we conducted a construct validation of the DII based on data from a food frequency questionnaire and three inflammatory biomarkers in a subsample of 2567 postmenopausal women in the Women's Health Initiative Observational Study. Methods: We used multiple linear and logistic regression models, controlling for potential confounders, to test whether baseline DII predicted concentrations of interleukin-6, high-sensitivity C-reactive protein (hs-CRP), tumor necrosis factor alpha receptor 2, or an overall biomarker score combining all three inflammatory biomarkers. Results: The DII was associated with the four biomarkers with beta estimates (95% confidence interval) comparing the highest with lowest DII quintiles as follows: interleukin-6: 1.26 (1.15-1.38), P < .0001; tumor necrosis factor alpha receptor 2: 81.43 (19.15-143.71), P =.004; dichotomized hs-CRP (odds ratio for higher vs. lower hs-CRP): 1.30 (0.97-1.67), P =.34; and the combined inflammatory biomarker score: 0.26 (0.12-0.40), P =.0001. Conclusions: The DII was significantly associated with inflammatory biomarkers. Construct validity of the DII indicates its utility for assessing the inflammatory potential of diet and for expanding its use to include associations with common chronic diseases in future studies. trend trend trend tren