| Course | NUR 603 Epidemiology |
|---|---|
| Module | Module 4 |
| Paper type | Study design critique comparing observational studies and a trial |
| Length | About 1,020 words, 6 pages |
| Format | APA 7 student paper |
| School | Southern New Hampshire University |
| Program | MSN |
| Updated | September 2026 |
Free sample paper for NUR 603 Module 4
Two Designs, Two Answers: What the Vitamin D Observational Studies and the VITAL Trial Can Each Claim
[Student Name]
Southern New Hampshire University
NUR 603: Epidemiology
Module Four Study Design Critique
[Instructor Name]
[Date]
Two Designs, Two Answers: What the Vitamin D Observational Studies and the VITAL Trial Can Each Claim
For more than a decade, vitamin D seemed to protect against nearly everything. People with higher blood levels had less cancer, less heart disease and longer lives in study after study, and supplements became one of the most commonly recommended pills in primary care. When a large randomized trial finally tested the idea, it found little benefit. This critique examines why well-conducted observational studies and a well-conducted trial disagreed. It argues that the disagreement is not a failure of either design but a lesson in what each design can and cannot claim, and that the trial answers the question patients actually ask.
The Observational Evidence
Gandini et al. (2011) pooled observational studies relating serum 25-hydroxyvitamin D to cancer. For colorectal cancer, based on 2,630 cases in nine studies, each 10 ng/mL increase in serum level was associated with a summary relative risk of 0.85, a 15% lower risk. For breast cancer, the pooled estimate was 0.89, but the authors noted a telling split: case-control studies gave a strong association, with a relative risk of 0.83, while prospective studies gave almost none, at 0.97. No association was found for prostate cancer.
The designs behind these numbers matter. In a prospective cohort, blood is drawn from healthy people who are then followed to see who develops cancer. In a case-control study, blood is drawn from people who already have cancer and compared with blood from people who do not. Both designs observe vitamin D levels as they happen to be; neither assigns them. At best, they can show that a level is associated with an outcome and estimate how strongly.
The Trial
The Vitamin D and Omega-3 Trial randomized 25,871 men aged 50 and older and women aged 55 and older across the United States to vitamin D3 at 2,000 IU a day or placebo, using a factorial design that also tested omega-3 fatty acids (Manson et al., 2019). About 5,100 participants were Black, a strength given how often trials underrepresent them. Over a median follow-up of 5.3 years, invasive cancer occurred in 793 participants in the vitamin D group and 824 in the placebo group, a hazard ratio of 0.96 with a 95% confidence interval from 0.88 to 1.06. Major cardiovascular events occurred in 396 and 409 participants, a hazard ratio of 0.97. Neither primary end point was reduced.
Randomization is what gives the trial its authority. By assigning vitamin D by chance, it balances the groups on factors that were measured and, on average, on factors that were not, so a gap in cancer or heart events between the arms can be laid at the door of the supplement itself. That is precisely what the observational studies could not do. The trial also measured adherence and outside supplement use, since placebo participants were allowed a modest dose of their own, and its analysis kept every participant in their original arm. Both choices protect the comparison from the bias that arises when healthier people are more likely to keep taking a pill.
Why the Designs Disagreed
The first explanation is confounding. People with high vitamin D levels tend to spend more time outdoors, exercise more, weigh less and smoke less, and each of these is linked to lower cancer and heart disease risk. Studies adjust for the confounders they measure, but adjustment is never complete, and residual confounding by general health can produce an association that disappears when vitamin D is assigned at random.
The second is reverse causation. Autier et al. (2014) reviewed observational studies and trials across many conditions and concluded that low vitamin D is more likely a marker of ill health than a cause of it. Inflammation lowers serum 25-hydroxyvitamin D, and people who are becoming ill go outdoors less. In that case, disease or its early stages lower vitamin D, rather than low vitamin D causing disease.
The third is the timing of measurement, which explains the split in the breast cancer results. In case-control studies, blood is drawn after diagnosis, when the cancer, its treatment and the changes in daily life it brings can already have lowered vitamin D. Prospective studies avoid this problem by drawing blood before disease, and their weaker association fits the view that part of the case-control signal was an effect of the disease on the measurement (Gandini et al., 2011).
Limits of the Trial
The trial has limits of its own. Most participants were not deficient at the start, so it cannot rule out benefit in people with very low levels. Five years may be too short for an effect on cancer incidence, which develops over decades, and the trial tested one dose. A secondary analysis suggested a possible reduction in cancer deaths, but secondary results are hypothesis-generating and should not be read as proof. These limits narrow the trial's answer; they do not reverse it. For generally healthy older adults, taking vitamin D to prevent cancer or heart disease is not supported.
What Each Design Can Claim
The observational studies can claim that higher vitamin D levels are associated with lower colorectal cancer risk in the populations studied. They cannot claim that raising vitamin D would lower that risk. The trial can claim that giving 2,000 IU a day to a broad population of older adults did not reduce cancer or cardiovascular events over about five years. It cannot claim that vitamin D is irrelevant to health, since it did not test people with deficiency separately. Writing within these limits means using association verbs, such as linked or associated, for the cohorts and effect verbs, such as reduced or did not reduce, only for the trial.
Conclusion
The vitamin D story shows why association is not enough to justify an intervention. Confounding, reverse causation and the timing of measurement can all create associations that a randomized trial does not confirm. For a patient who asks whether to take vitamin D to prevent cancer, the best evidence says it is unlikely to help unless there is a separate reason, such as deficiency or bone health, to take it.
References
Autier, P., Boniol, M., Pizot, C., & Mullie, P. (2014). Vitamin D status and ill health: A systematic review. The Lancet Diabetes & Endocrinology, 2(1), 76-89. https://doi.org/10.1016/S2213-8587(13)70165-7
Gandini, S., Boniol, M., Haukka, J., Byrnes, G., Cox, B., Sneyd, M. J., Mullie, P., & Autier, P. (2011). Meta-analysis of observational studies of serum 25-hydroxyvitamin D levels and colorectal, breast and prostate cancer and colorectal adenoma. International Journal of Cancer, 128(6), 1414-1424. https://doi.org/10.1002/ijc.25439
Manson, J. E., Cook, N. R., Lee, I.-M., Christen, W., Bassuk, S. S., Mora, S., Gibson, H., Gordon, D., Copeland, T., D'Agostino, D., Friedenberg, G., Ridge, C., Bubes, V., Giovannucci, E. L., Willett, W. C., & Buring, J. E. (2019). Vitamin D supplements and prevention of cancer and cardiovascular disease. New England Journal of Medicine, 380(1), 33-44. https://doi.org/10.1056/NEJMoa1809944
What the NUR 603 Module 4 instructions ask for
The NUR 603 study design assignment usually asks you to compare or critique epidemiologic designs, such as cohort, case-control, cross-sectional and randomized trials, using published studies on a single question. Prompts often ask you to identify each design, explain its strengths and weaknesses, discuss bias and confounding and state what conclusions each study supports. Expect three to four pages in APA 7. Pick a question on which observational and experimental evidence exist, since contrasting them makes the design issues concrete, and read the methods sections carefully, because design details such as when exposure was measured often explain the results better than the abstract does. Note the sample size and follow-up of each study before you compare them.
How this NUR 603 Module 4 study design critique example is built
This sample contrasts the Gandini meta-analysis of observational studies, which linked each 10 ng/mL of serum vitamin D to a 15% lower colorectal cancer risk, with the VITAL trial of 25,871 older adults, which found hazard ratios of 0.96 for invasive cancer and 0.97 for major cardiovascular events with 2,000 IU daily. It explains how each design works, then attributes the disagreement to confounding by health, reverse causation as described by Autier and the timing of blood draws that splits case-control from prospective breast cancer results. It critiques the trial's own limits and closes by stating exactly what each design can claim, with the verbs to match, so the conclusions never outrun the evidence behind them.
Where the NUR 603 Module 4 rubric puts the points
Design critique rubrics in this course commonly score correct identification of study designs, explanation of strengths and limitations, discussion of bias and confounding, interpretation of results, appropriate conclusions and APA 7 writing. Top-band papers report effect sizes with confidence intervals, explain mechanisms of bias with concrete examples and apply scrutiny to every study, including the one whose result they favor. Graders also look for language that matches the design, using associated for observational findings and caused or reduced only for trials. Connecting the critique to a practice decision, such as what to tell a patient, often earns the final points. So does a clean APA reference list.
NUR 603 Module 4 help: the mistakes that cost points
Design critiques lose points when they simply summarize studies, when they call a cohort finding causal, when confounding is named without an example or when the trial is treated as flawless. Another common error is confusing the design of a meta-analysis with the design of the studies it pooled. Identify each design precisely, report the numbers, explain at least two specific biases, critique the stronger study too and write conclusions in verbs that fit the design. If your assignment focuses on a different question, such as hormone therapy, screening or diet, send the prompt and the studies you were given for a critique built around them and the designs they use.
Get NUR 603 Module 4 written to your instructions
Send the prompt and the studies you must compare. A critique that identifies each design precisely, reports effect sizes with intervals, explains the biases with examples and states what each study can claim is written in 24 to 48 hours, and we do not charge for the first one. The paper above is an original model document written by our desk, not a submitted student paper and not an official Southern New Hampshire University document.
More NUR 603 papers and related MSN samples
- NUR 603 Module 1 Discussion: When the Lyme Case Definition Changed
- NUR 603 Module 2 Short Paper: Diabetes Incidence Falling, Prevalence Holding
- NUR 603 Module 3 Milestone One: Alcohol-Induced Deaths in Midlife Women
- NUR 555 Module 3 Milestone One: Rheumatoid Arthritis and Osteoarthritis in Two Patients With Sore Hands
- NUR 506 Module 6 Evidence Synthesis Paper
- NUR 560 Module 8 Focused Assessment: Acute Monoarthritis: Gout or Septic Arthritis
- NUR 530 Module 6 Evidence Appraisal: Appraising the Evidence on Interdisciplinary Rounds and Discharge Planning
NUR 603 Module 4 questions, answered
Where can I find a free NUR 603 Module 4 Study Design Critique sample?
This page carries the full critique: vitamin D observational studies compared with the VITAL trial, explaining confounding, reverse causation and measurement timing, with three APA 7 references.
Why do observational studies and randomized trials sometimes disagree?
Observational studies cannot fully control confounding and may suffer reverse causation or measurement timing problems. Randomization balances measured and unmeasured factors, so a trial can test cause directly.
What did the VITAL trial find about vitamin D?
Among 25,871 older US adults, 2,000 IU of vitamin D3 daily for a median of 5.3 years did not reduce invasive cancer or major cardiovascular events compared with placebo.
What is reverse causation in epidemiology?
It is when the outcome, or its early stages, causes the exposure rather than the reverse. Illness and inflammation can lower vitamin D, making low vitamin D look like a cause of disease.
Why can case-control studies overstate an association?
Exposure is often measured after diagnosis, when the disease or its treatment may already have changed it. Drawing blood before disease, as prospective cohorts do, avoids that problem.