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Ezekiel Ojugo

Ezekiel O.

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Viewed Questions

 Which of the following statements regarding skin cancer is true?
a. Chemical carcinogens contribute more to the development of skin cancer than UV radiation.
b. Sun exposure during childhood does not impact the development of skin cancer later in life.
c. Tanning booths enable safer tanning because the UV exposure from lamps is not likely to contribute to the development of skin cancer.
d. Skin cancer can develop from cumulative sun exposure, even in the absence of sunburns.

Which of the following statements regarding skin cancer is true? a. Chemical carcinogens contribute more to the development of skin cancer than UV radiation. b. Sun exposure during childhood does not impact the development of skin cancer later in life. c. Tanning booths enable safer tanning because the UV exposure from lamps is not likely to contribute to the development of skin cancer. d. Skin cancer can develop from cumulative sun exposure, even in the absence of sunburns.

Human Biology Concepts and Current Issues

Questions asked

INSTANT ANSWER

1. Cohort studies involve the comparison of disease incidence rates between exposed and non-exposed groups. (1 point) A. True B. False 2. Cohort studies can make conclusions about temporal relationships between exposure and outcome because the data on exposure or risk factors is collected before the outcome occurs. (1 point) A. True B. False 3. It would be appropriate to select subjects for an exposure-based cohort study from certain occupational groups, such as battery workers. (1 point) A. True B. False 4. Relative risk is the ratio of the risk of disease among the exposed to the risk of disease among the unexposed. (1 point) A. True B. False 5. In cohort studies, participants are randomly allocated to exposed or not exposed. (1 point) A. True B. False

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INSTANT ANSWER

40. Indicate whether the following statements on the study findings are true or false as reported by the authors. Note: The authors calculated odds ratio in this case control study, but this is an appropriate measure of risk ratio because the prevalence of tuberculosis is less than 5%. (3 points) Tuberculosis causes increased diabetes risk after controlling for potential confounders. The study results indicate that DM increases the risk of developing new cases of tuberculosis. The study data suggest that diabetes roughly duplicates the risk (or odds) of tuberculosis. *Odds ratio is an appropriate measure of risk ratio because the prevalence of the disease is less than 5%. Tuberculosis was associated with increased risk of intermediate hyperglycemia. Diabetes was associated with an increased tuberculosis risk after controlling for potential confounders. Diabetes was associated with an increased tuberculosis risk, regardless of the exposure measure used and after controlling for potential confounders.

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INSTANT ANSWER

Historically, an association between tuberculosis and diabetes was recognised clinically, and the recent global rise in diabetes prevalence has reignited interest. We therefore quantified the tuberculosis–diabetes association using US survey data. A case-control analysis was performed using cross-sectional data from the second National Health and Nutrition Examination Survey (1976–1980; civilian non-institutionalised US population aged 20–74). Cases were respondents ever diagnosed with tuberculosis, and controls were respondents who reported never receiving a tuberculosis diagnosis. Exposure to diabetes and intermediate hyperglycaemia was defined using a self-reported measure, an oral glucose tolerance test, or both. We used logistic regression to estimate an adjusted odds ratio, controlling for potential major confounders. In relation to the main exposure measure, the adjusted odds ratio for the association between tuberculosis and diabetes varied between 2.31 (95% confidence interval 1.36–3.93) and 2.36 (95% confidence interval 1.40– 3.97), depending on the model. No association was found for intermediate hyperglycaemia, with adjusted odds ratio varying between 1.33 (95% confidence interval 0.49–3.64) and 1.34 (95% confidence interval 0.50–3.62), depending on model. Irrespective of the exposure measure and the confounders controlled for, diabetes was associated with an increased tuberculosis risk. This study may underestimate the true association due to exposure misclassification. 38. Given the study design in Corris et al., what kind of bias should the authors be MOST concerned about? (1 point) A. Information bias B. Selection bias C. Berkson’s bias D. Healthy worker bias E. None of the above

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2. TB risk with DM and IH Exposure Self-reported status Normal IHb DM Missing Self-reported status and OGTT combined (OGTT takes precedence) Normal IHc DM Missing Self-reported status and OGTT combined (exposed on either measure) Normal IHc DM Missing Valid OGTT result or on insulin Normal IHc DM Cases (unweighted n1⁄4166) Weighted %a 85.7 4.1 10.2 0.0 82.8 6.5 10.7 0.0 81.7 6.5 11.8 0.0 Controls (unweighted n 1⁄4 15,191) Weighted %a 94.3 2.3 3.3 0.1 91.1 4.8 4.1 0.1 90.5 5.2 4.3 0.1 Crude OR (95% 1.00 1.98 (0.62–6.27) 3.35 (1.96–5.74) 1.00 1.48 (0.60–3.66) 2.90 (1.77–4.76) 1.00 1.39 (0.56–3.44) 3.04 (1.88–4.90) CI) p* 0.015 0.029 0.017 0.100 n1⁄441 n1⁄43837 59.6 80.4 23.4 13.2 17.0 6.4 1.00 2.40 (0.81–7.10) 3.59 (1.06–12.15) 37. Using the information provided in Table 2, do the following: a) construct and label the appropriate 2x2 table to evaluate the association between self-reported DM and tuberculosis, and b) show the calculation that the authors did to obtain a crude OR = 3.35 for the self-reported DM status. Hint: Assume that those with missing information in the control group did not have DM. Also, note that intermediate hyperglycaemia (IH) does not constitute DM exposure and should be included with the DM negative group. Numeric cells should be whole numbers. (Labels are worth ¼ point each; numeric cells 1 point each; OR calculation 2 points = 12 points)

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INSTANT ANSWER

Cases were respondents who reported ever receiving a diagnosis of TB from a doctor, regardless of whether they still had it (n 1⁄4 166). Those who reported never having received such a diagnosis were included as controls (n 1⁄4 15,191). Respondents with missing data were excluded (n 1⁄4 7), The total sample size used for data analysis in this case-control study was 15,364 individuals. (2 points) A. True B. False

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INSTANT ANSWER

Historically, an association between tuberculosis and diabetes was recognised clinically, and the recent global rise in diabetes prevalence has reignited interest. We therefore quantified the tuberculosis–diabetes association using US survey data. A case-control analysis was performed using cross-sectional data from the second National Health and Nutrition Examination Survey (1976–1980; civilian non-institutionalised US population aged 20–74). Cases were respondents ever diagnosed with tuberculosis, and controls were respondents who reported never receiving a tuberculosis diagnosis. Exposure to diabetes and intermediate hyperglycaemia was defined using a self-reported measure, an oral glucose tolerance test, or both. We used logistic regression to estimate an adjusted odds ratio, controlling for potential major confounders. In relation to the main exposure measure, the adjusted odds ratio for the association between tuberculosis and diabetes varied between 2.31 (95% confidence interval 1.36–3.93) and 2.36 (95% confidence interval 1.40– 3.97), depending on the model. No association was found for intermediate hyperglycaemia, with adjusted odds ratio varying between 1.33 (95% confidence interval 0.49–3.64) and 1.34 (95% confidence interval 0.50–3.62), depending on model. Irrespective of the exposure measure and the confounders controlled for, diabetes was associated with an increased tuberculosis risk. This study may underestimate the true association due to exposure misclassification The total sample size used for data analysis in this case-control study was 15,364 individuals. (2 points) A. True B. False

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INSTANT ANSWER

Historically, an association between tuberculosis and diabetes was recognised clinically, and the recent global rise in diabetes prevalence has reignited interest. We therefore quantified the tuberculosis–diabetes association using US survey data. A case-control analysis was performed using cross-sectional data from the second National Health and Nutrition Examination Survey (1976–1980; civilian non-institutionalised US population aged 20–74). Cases were respondents ever diagnosed with tuberculosis, and controls were respondents who reported never receiving a tuberculosis diagnosis. Exposure to diabetes and intermediate hyperglycaemia was defined using a self-reported measure, an oral glucose tolerance test, or both. We used logistic regression to estimate an adjusted odds ratio, controlling for potential major confounders. In relation to the main exposure measure, the adjusted odds ratio for the association between tuberculosis and diabetes varied between 2.31 (95% confidence interval 1.36–3.93) and 2.36 (95% confidence interval 1.40– 3.97), depending on the model. No association was found for intermediate hyperglycaemia, with adjusted odds ratio varying between 1.33 (95% confidence interval 0.49–3.64) and 1.34 (95% confidence interval 0.50–3.62), depending on model. Irrespective of the exposure measure and the confounders controlled for, diabetes was associated with an increased tuberculosis risk. This study may underestimate the true association due to exposure misclassification. 32. What is the study population for this particular research? Be specific. (1 point) 33. How did the authors define a case? (2 points) 34. How did the authors define a control? (2 points)

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INSTANT ANSWER

Historically, an association between tuberculosis and diabetes was recognised clinically, and the recent global rise in diabetes prevalence has reignited interest. We therefore quantified the tuberculosis–diabetes association using US survey data. A case-control analysis was performed using cross-sectional data from the second National Health and Nutrition Examination Survey (1976–1980; civilian non-institutionalised US population aged 20–74). Cases were respondents ever diagnosed with tuberculosis, and controls were respondents who reported never receiving a tuberculosis diagnosis. Exposure to diabetes and intermediate hyperglycaemia was defined using a self-reported measure, an oral glucose tolerance test, or both. We used logistic regression to estimate an adjusted odds ratio, controlling for potential major confounders. In relation to the main exposure measure, the adjusted odds ratio for the association between tuberculosis and diabetes varied between 2.31 (95% confidence interval 1.36–3.93) and 2.36 (95% confidence interval 1.40– 3.97), depending on the model. No association was found for intermediate hyperglycaemia, with adjusted odds ratio varying between 1.33 (95% confidence interval 0.49–3.64) and 1.34 (95% confidence interval 0.50–3.62), depending on model. Irrespective of the exposure measure and the confounders controlled for, diabetes was associated with an increased tuberculosis risk. This study may underestimate the true association due to exposure misclassification. 30. Why did the authors choose this data source over other similar sources that were also available but from more recent years? Check all that apply. (1 point) ☐ Diabetes data were not collected in recent surveys. ☐ There were insufficient numbers of respondents with diabetes in recent surveys. ☐ There were insufficient numbers of respondents with tuberculosis in recent surveys. ☐ Tuberculosis data were not collected in recent surveys. 31. Provide at least three methods the authors used to define the main exposure(s) or risk factor(s) in this study. (3 points)

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INSTANT ANSWER

Historically, an association between tuberculosis and diabetes was recognised clinically, and the recent global rise in diabetes prevalence has reignited interest. We therefore quantified the tuberculosis–diabetes association using US survey data. A case-control analysis was performed using cross-sectional data from the second National Health and Nutrition Examination Survey (1976–1980; civilian non-institutionalised US population aged 20–74). Cases were respondents ever diagnosed with tuberculosis, and controls were respondents who reported never receiving a tuberculosis diagnosis. Exposure to diabetes and intermediate hyperglycaemia was defined using a self-reported measure, an oral glucose tolerance test, or both. We used logistic regression to estimate an adjusted odds ratio, controlling for potential major confounders. In relation to the main exposure measure, the adjusted odds ratio for the association between tuberculosis and diabetes varied between 2.31 (95% confidence interval 1.36–3.93) and 2.36 (95% confidence interval 1.40– 3.97), depending on the model. No association was found for intermediate hyperglycaemia, with adjusted odds ratio varying between 1.33 (95% confidence interval 0.49–3.64) and 1.34 (95% confidence interval 0.50–3.62), depending on model. Irrespective of the exposure measure and the confounders controlled for, diabetes was associated with an increased tuberculosis risk. This study may underestimate the true association due to exposure misclassification. 28. What is the name of the data source used to perform the case-control analysis? Be specific. (2 point) 29. What was the study design of the data source? (2 points) A. Case control B. Cohort C. Cross-sectional D. Ecological E. None of the above

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INSTANT ANSWER

Historically, an association between tuberculosis and diabetes was recognised clinically, and the recent global rise in diabetes prevalence has reignited interest. We therefore quantified the tuberculosis–diabetes association using US survey data. A case-control analysis was performed using cross-sectional data from the second National Health and Nutrition Examination Survey (1976–1980; civilian non-institutionalised US population aged 20–74). Cases were respondents ever diagnosed with tuberculosis, and controls were respondents who reported never receiving a tuberculosis diagnosis. Exposure to diabetes and intermediate hyperglycaemia was defined using a self-reported measure, an oral glucose tolerance test, or both. We used logistic regression to estimate an adjusted odds ratio, controlling for potential major confounders. In relation to the main exposure measure, the adjusted odds ratio for the association between tuberculosis and diabetes varied between 2.31 (95% confidence interval 1.36–3.93) and 2.36 (95% confidence interval 1.40– 3.97), depending on the model. No association was found for intermediate hyperglycaemia, with adjusted odds ratio varying between 1.33 (95% confidence interval 0.49–3.64) and 1.34 (95% confidence interval 0.50–3.62), depending on model. Irrespective of the exposure measure and the confounders controlled for, diabetes was associated with an increased tuberculosis risk. This study may underestimate the true association due to exposure misclassification. 26. What is the main exposure or risk factor of interest in this study? (2 points) A. Diabetes (DM) B. Intermediate hyperglycemia (IH) C. Tuberculosis (TB) D. All of the above

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