TABLE 2—Adjusted Relative Risk of Type 2 Diabetes According to Quintiles of Intake of Grains Among 75 521 US FemaleNurses Aged 38 to 63 Years at Baseline, 1984–1994aQuintile of Consumption1 2 3 4 5 P for TrendTotal grainCases 392 356 368 358 405Person-years 144 698 144 403 144 438 144 471 144 409RR (95% CI)Model 1: age, energy-adjusted 1.00 0.86 (0.74, 0.99) 0.83 (0.72, 0.97) 0.77 (0.66, 0.90) 0.84 (0.71, 0.99) .13Model 2: multivariate 1.00 0.84 (0.72, 0.97) 0.82 (0.70, 0.96) 0.72 (0.61, 0.85) 0.75 (0.63, 0.89) .005Whole grainCases 426 391 407 320 335Person-years 141 914 147 351 143 856 145 133 144 164RR (95% CI)Model 1: age, energy-adjusted 1.00 0.85 (0.74, 0.98) 0.86 (0.75, 0.99) 0.63 (0.55, 0.73) 0.62 (0.53, 0.71) <.0001Model 2: multivariate 1.00 0.91 (0.79, 1.05) 0.94 (0.82, 1.08) 0.74 (0.64, 0.86) 0.73 (0.63, 0.85) <.0001Refined grainCases 349 369 337 378 446Person-years 144 742 144 817 144 095 144 252 144 512RR (95% CI)Model 1: age, energy-adjusted 1.00 1.08 (0.93, 1.25) 1.01 (0.86, 1.17) 1.12 (0.96, 1.31) 1.31 (1.12, 1.53) .0003Model 2: multivariate 1.00 1.09 (0.94, 1.26) 1.01 (0.86, 1.17) 1.09 (0.92, 1.27) 1.11 (0.94, 1.30) .26Ratio of refined to whole grainCases 320 344 369 410 436Person-years 144 517 144 335 144 400 144 505 144 661RR (95% CI)Model 1: age, energy-adjusted 1.00 1.13 (0.97, 1.31) 1.26 (1.08, 1.47) 1.46 (1.26, 1.69) 1.57 (1.36, 1.82) <.0001Model 2: multivariate 1.00 1.09 (0.93, 1.27) 1.15 (0.99, 1.33) 1.27 (1.09, 1.47) 1.26 (1.08, 1.46) .01Note. RR = relative risk; CI = confidence interval.aMultivariate model 2 includes the following: age (5-year categories); body mass index (6 categories); physical activity (hours per week, in5 categories); cigarette smoking (never, past, and current smoking of 1–14, 15–24, and ≥25 cigarettes per day); alcohol intake (4 categories);family history of diabetes in a first-degree relative (yes or no); use of multivitamins or vitamin E supplements (yes or no); and total energyintake (in quintiles).
Question
TABLE 2—Adjusted Relative Risk of Type 2 Diabetes According to Quintiles of Intake of Grains Among 75 521 US FemaleNurses Aged 38 to 63 Years at Baseline, 1984–1994aQuintile of Consumption1 2 3 4 5 P for TrendTotal grainCases 392 356 368 358 405Person-years 144 698 144 403 144 438 144 471 144 409RR (95% CI)Model 1: age, energy-adjusted 1.00 0.86 (0.74, 0.99) 0.83 (0.72, 0.97) 0.77 (0.66, 0.90) 0.84 (0.71, 0.99) .13Model 2: multivariate 1.00 0.84 (0.72, 0.97) 0.82 (0.70, 0.96) 0.72 (0.61, 0.85) 0.75 (0.63, 0.89) .005Whole grainCases 426 391 407 320 335Person-years 141 914 147 351 143 856 145 133 144 164RR (95% CI)Model 1: age, energy-adjusted 1.00 0.85 (0.74, 0.98) 0.86 (0.75, 0.99) 0.63 (0.55, 0.73) 0.62 (0.53, 0.71) <.0001Model 2: multivariate 1.00 0.91 (0.79, 1.05) 0.94 (0.82, 1.08) 0.74 (0.64, 0.86) 0.73 (0.63, 0.85) <.0001Refined grainCases 349 369 337 378 446Person-years 144 742 144 817 144 095 144 252 144 512RR (95% CI)Model 1: age, energy-adjusted 1.00 1.08 (0.93, 1.25) 1.01 (0.86, 1.17) 1.12 (0.96, 1.31) 1.31 (1.12, 1.53) .0003Model 2: multivariate 1.00 1.09 (0.94, 1.26) 1.01 (0.86, 1.17) 1.09 (0.92, 1.27) 1.11 (0.94, 1.30) .26Ratio of refined to whole grainCases 320 344 369 410 436Person-years 144 517 144 335 144 400 144 505 144 661RR (95% CI)Model 1: age, energy-adjusted 1.00 1.13 (0.97, 1.31) 1.26 (1.08, 1.47) 1.46 (1.26, 1.69) 1.57 (1.36, 1.82) <.0001Model 2: multivariate 1.00 1.09 (0.93, 1.27) 1.15 (0.99, 1.33) 1.27 (1.09, 1.47) 1.26 (1.08, 1.46) .01Note. RR = relative risk; CI = confidence interval.aMultivariate model 2 includes the following: age (5-year categories); body mass index (6 categories); physical activity (hours per week, in5 categories); cigarette smoking (never, past, and current smoking of 1–14, 15–24, and ≥25 cigarettes per day); alcohol intake (4 categories);family history of diabetes in a first-degree relative (yes or no); use of multivitamins or vitamin E supplements (yes or no); and total energyintake (in quintiles).
Solution
This table presents the adjusted relative risk of Type 2 Diabetes according to the intake of different types of grains among 75,521 US female nurses aged 38 to 63 years at baseline, from 1984 to 1994.
The table is divided into four sections: Total grain, Whole grain, Refined grain, and Ratio of refined to whole grain. Each section presents the number of cases, person-years, and relative risk (RR) with a 95% confidence interval (CI) for each quintile of consumption.
Two models were used to adjust the relative risk: Model 1, which is age and energy-adjusted, and Model 2, which is multivariate and includes factors such as age, body mass index, physical activity, cigarette smoking, alcohol intake, family history of diabetes, use of multivitamins or vitamin E supplements, and total energy intake.
For total grain consumption, the relative risk decreases as the quintile of consumption increases in both models. The P for trend in Model 2 is .005, indicating a statistically significant trend.
For whole grain consumption, the relative risk also decreases as the quintile of consumption increases in both models. The P for trend in Model 2 is less than .0001, indicating a highly statistically significant trend.
For refined grain consumption, the relative risk increases as the quintile of consumption increases in Model 1, but the trend is not statistically significant in Model 2 (P for trend = .26).
For the ratio of refined to whole grain, the relative risk increases as the quintile of consumption increases in both models. The P for trend in Model 2 is .01, indicating a statistically significant trend.
Similar Questions
The results of a research study indicate that those adults who consume the most sugar-sweetened beverages also have the highest rates of type 2 diabetes. These findings suggest there is a(n) _______ correlation between sugar-sweetened beverage consumption and risk for type 2 diabetes.Multiple Choicerandomindirectdirectobservational
Food that are high in resistant starch have a low glycemic index (GI) and are beneficial for humanhealth, particularly for those with diabetes. A recent study conducted a randomised double-blindedcontrolled trial to investigate the effectiveness of a type of low-GI rice on the postprandial glucoselevels of diabetic patients, compared to an ordinary “control” rice. Note that “effective” means alower increase in postprandial glucose level compared to the control rice.The 73 diabetic patients who consented to the study were randomly assigned into two groups (GroupsA and B). Their blood glucose was measured immediately prior to and 30 minutes after consuminga prepared meal, comprising low-GI rice for Group A and control rice for Group B. The increase inpostprandial glucose level (i.e., postprandial - preprandial) was recorded. One week later, the sameprocedure was repeated, but with Group A given the control rice and Group B given the low-GI rice.The data is given in the file Rice.csv, available on Blackboard.Handwrite your answers to the following questions. Then scan, photograph or similar, combine intoa single pdf file and upload to the link named Quiz 7 - written questions. Please name your file in theformat: LastName_FirstName/StudentNumber_STAT1301_Quiz7.pdf. If you use R to performcalculations, please append your code at the end of the pdf file.(a) [1 mark] Should the data be analysed as a paired data or two independent samples? Give areason for your answer.(b) [4 marks] Perform an appropriate t-test to test the claim that the low-GI rice is more effectivethan an ordinary rice. Use a 0.05 significance level. Report the null and alternative hypotheses, teststatistic, the P-value, a statistical conclusion, and a conclusion in context.(c) [1 mark] What are the assumptions for the test in part (b)?Consider the following setting of a paired t-test. Let 𝑋𝑖 ∼ 𝑖𝑖𝑑 𝑁(𝜇𝑋, 𝜎𝑋2) denote the “before”measurements and 𝑌𝑖 ∼ 𝑖𝑖𝑑 𝑁(𝜇𝑌, 𝜎𝑌2) denote the “after” measurements, where 𝑖 = 1, 2, … 𝑛.Suppose that Cor(𝑋𝑖, 𝑌𝑖) = 𝜌. Define the difference variables 𝐷𝑖 = 𝑋𝑖 − 𝑌𝑖.(d) [2 marks] Let 𝐷̅ = 1𝑛 ∑ 𝐷𝑖𝑛𝑖=1 . Show that the variance of 𝐷̅ is Var(𝐷̅ ) = 𝜎𝑋2 +𝜎𝑌2−2𝜎𝑋𝜎𝑌𝜌𝑛 .(e) [1 mark] Show that if the samples 𝑋𝑖 and 𝑌𝑖 were independent then Var(𝑋̅ − 𝑌̅ ) = 𝜎𝑋2 +𝜎𝑌2𝑛 .(f) [1 mark] Based on parts (d) and (e), and consider testing 𝐻0: 𝜇𝑋 − 𝜇𝑌 = 0, explain why the pairedt-test is preferred over the two-sample (independent) t-test when 𝜌 > 0.Group Week1 Week2A 3.2 4.6A 1.9 4.2A -0.2 2.1A 2.2 5.2A 4.5 3A 2.9 2.6A 1.9 2.2A 2.9 3.3A 4.2 2.9A 4.1 4.4A 4.5 2.8A 2.3 1.2A 3.8 1.6A 1.9 0.9A 2.7 2.4A 2.6 2.8A 3.4 1A 2.3 1.3A 3.1 4.9A 3.2 4.4A 1.4 3.7A 2.3 1.1A 3.3 3.4A 4.6 3.6A 1.1 2.2A 3.6 3.8A 1 3.3A 2 3.6A 3.6 4.9A 1.3 2.9A 2.6 1.8A 2.6 0.4A 0.5 3A 3.4 4.2A 4.6 5.5A 2.7 4.6A 3.4 4.7B 1.1 3.7B 3.4 3.3B 1.1 2.3B 3 2.9B 3.7 1.4B 4.4 3.2B 4 6.6B 2.8 1.1B 1 3.4B 4.5 3.8B 2.8 2.6B 2.4 2.7B 1.1 4.5B 4.1 3B 1.2 2.3B 4.4 4.1B 2.9 4.2B 3.3 2.9B 5.8 2B 2.6 2.9B 1.7 3.9B 5.2 2.2B 2.1 -0.2B 2 3.4B 5.3 3.7B 5.5 3.1B 3.4 2.5B 0.7 0.1B 1.9 1B 1.8 4.2B 2.7 1.2B 3.2 2.7B 1.4 1B 5 2.3B 3.4 0.6B 4.5 1.4
During the median follow-up of 13 years, 597 incident diabetes cases were diagnosed. Higher levels of γ-glutamyltransferase (GGT), alanine aminotransferase (GPT), and aspartate aminotransferase (GOT) were associated with an increased diabetes risk, and current light drinkers had a lower risk of diabetes than nondrinkers. No sex differences were observed in these associations. Compared to nondrinkers having the lowest quartiles of liver enzymes, nondrinkers and current moderate/heavy drinkers having the highest quartiles had an increased risk of diabetes. However, no association was observed for current light drinkers having the highest quartiles of liver enzymes; the multivariable hazard ratios (95% CIs) in current light drinkers with the highest quartile of liver enzymes were 1.27 (0.68-2.37) for GGT, 1.05 (0.59-1.89) for GPT, and 0.76 (0.40-1.47) for GOT, respectively.
Question No 14.Read the following passage and answer the question that follows."The Diabetes Epidemic in Urban India" headlines a report recently released by the Ministry of Health. The report draws attention to a worrying trend: a 30% increase in the number of diagnosed diabetes cases in urban areas compared to the previous year. Experts within the report point to a significant shift in dietary habits as a primary culprit, with an increased consumption of fast food and sugary drinks being particularly highlighted. This dietary change, coupled with a sedentary lifestyle common in urban settings, is seen as a key factor driving the rise in diabetes prevalence among the urban population. The report's findings have sparked concerns about a growing health crisis, suggesting that the modern urban lifestyle is increasingly becoming a health hazard.Which one of the following, if true, MOST seriously weakens the argument?A) Urban residents have shown a growing preference for fast food and high-calorie diets, which are known risk factors for developing diabetes.B) The majority of new diabetes cases are being reported in individuals aged between 40 and 60 years, a demographic that constitutes a large portion of the urban population.C) There has been a significant increase in health awareness campaigns, leading to more people in urban areas getting screened and diagnosed for diabetes.D) Many urban centres have launched initiatives to encourage healthier living, including diet modification and exercise programs, to combat the rise in diabetes.E) Genetic research indicates that a small proportion of individuals are predisposed to diabetes, accounting for a significant number of the new cases in urban areas.
Identify the factors that are linked to susceptibility to getting type 2 diabetesGroup of answer choicesGenetic inheritance.Eating too much sugar.Living in a rich country.Obesity and lack of exercise.
Upgrade your grade with Knowee
Get personalized homework help. Review tough concepts in more detail, or go deeper into your topic by exploring other relevant questions.