| Course | NR 503 Population Health, Epidemiology and Statistical Principles |
|---|---|
| Week | 3 |
| Paper type | Study design appraisal |
| Length | About 1,300 words, 3 pages |
| Format | APA 7 student paper |
| School | Chamberlain University |
| Program | MSN |
| Updated | October 2026 |
Free sample paper for NR 503 Week 3
Appraising the 2013 Carpenter Pooled Case-Control Study of Bed Sharing and SIDS, Its Claims Set Against What the Design Can Deliver, and the Alcohol Question Three Datasets Never Asked
Student Name
College of Nursing, Chamberlain University
NR 503: Population Health, Epidemiology and Statistical Principles
Instructor Name
Month Day, Year
Appraising the 2013 Carpenter Pooled Case-Control Study of Bed Sharing and SIDS, Its Claims Set Against What the Design Can Deliver, and the Alcohol Question Three Datasets Never Asked
Why This Study
Few questions in infant care produce as much disagreement as whether a baby should ever sleep in the parents' bed. The American Academy of Pediatrics recommends room sharing without bed sharing (Moon et al., 2022), while some breastfeeding advocates argue that bed sharing is low risk when no hazards are present. Carpenter et al. (2013) set out to settle the question for the lowest-risk families: babies who are breastfed and whose parents do not smoke. Their headline finding, that bed sharing raised the risk of sudden infant death syndrome (SIDS) about fivefold even in that group, is quoted widely in parent teaching. This appraisal asks what the study's design can and cannot support.
The Design as Performed
The authors describe the study as an individual-level analysis of five case-control datasets. That label is accurate, but what was done is worth stating fully. The authors combined data from five existing studies, themselves drawing on 19 studies across the United Kingdom, Europe and Australasia, into one dataset of 1,472 babies who died of SIDS and 4,679 living control babies of similar age, time and place. Cases were identified after death; controls were selected from the living population. Information on sleeping arrangements and other factors was collected by interviewing parents. Where information was missing, it was imputed, and the analysis used random effects logistic regression to adjust for confounding factors and allow for differences between the studies.
So the study is a comparison assembled after the outcome was already known. It cannot show that bed sharing came before a process leading to death in any way other than by asking parents what happened, and it can estimate odds ratios but not risks directly. The absolute risks in the abstract were estimated by combining the odds ratios with external population rates, which is a model, not a measurement.
The Claim Ledger
Each main claim is set beside what the design can deliver.
Table 1
Claims Set Against the Design
| Claim in the paper | What the design can deliver | Verdict |
|---|---|---|
| Bed sharing overall is associated with SIDS: adjusted odds ratio 2.7 (95% CI 1.4 to 5.3) | An association between reported bed sharing and SIDS, adjusted for measured factors | Supported as an association |
| The risk falls as the baby gets older | Age-specific odds ratios within the pooled data | Supported |
| For breastfed babies under 3 months of non-smoking parents with no other risk factors, bed sharing carries an adjusted odds ratio of 5.1 (2.3 to 11.4) against room sharing | Only as good as the measurement of "no other risk factors," including maternal alcohol and drugs | Weakest link; see below |
| Absolute risk rises from 0.08 to 0.23 per 1,000 live births | A modeled estimate using external rates | Plausible, but modeled, not measured |
| A substantial reduction in SIDS could be achieved if parents avoided bed sharing | A causal claim beyond what a case-control study can establish alone | Not established by this design |
Note. Figures from Carpenter et al. (2013). CI = confidence interval.
When the Exposure Was Recorded
Exposure information came from parents' reports, collected after the event. For cases, bed sharing referred to the last sleep before death. For controls, the paper defines bed sharing as the baby being in bed with the parents when they woke on the day of the interview. The two reference periods are not the same kind of night. A case's last sleep was a single specific night, remembered after a tragedy; a control's reference sleep was the most recent night before an interview. Parents of a baby who died may remember the night in intense detail, and some may feel pressure to describe it in a particular way. Parents of a living baby are describing an ordinary morning.
That asymmetry is built into most SIDS case-control studies, and it cannot be fully removed. It can inflate or deflate the odds ratio depending on how each group reports, and the appraisal cannot say which way it pushes here. What it does show is that the exposure was measured differently in the two groups, which is the kind of error adjustment cannot fix.
Who Reached the Final Table
The most quoted estimate, the odds ratio of 5.1, applies to a narrow subgroup: babies under 3 months, breastfed, with non-smoking parents, a mother who took less than two units of alcohol in the prior 24 hours and used no drugs, and no other risk factors. The question is how many babies in that subgroup had those characteristics actually recorded.
The paper answers part of this itself. It states that questions on the mother's alcohol use in the last 24 hours and on illegal drug use were not asked in three of the five studies (Carpenter et al., 2013). For those studies, alcohol and drug use were imputed from other variables. So some babies counted in the no-alcohol, no-drugs subgroup were placed there by a statistical model rather than by anything a parent reported. The authors acknowledged the criticism and describe going back to original records for the key subgroup, but the records they found mostly covered alcohol use by others in the household rather than the mother. The key subgroup is therefore partly defined by imputation, and the odds ratio of 5.1 rests on it.
A Second Study, the Same Question
Blair et al. (2014) analyzed two UK case-control studies with 400 SIDS cases and 1,386 controls and reached a different answer for the low-risk group. Co-sleeping overall carried an odds ratio of 3.9, and the risk was very high on a sofa or next to a parent who had drunk more than two units of alcohol. But bed sharing in the absence of those hazards showed no significant risk overall (odds ratio 1.1, 95% CI 0.6 to 2.0), and for babies under 3 months the estimate was 1.6, with a confidence interval running from 0.96 to 2.7.
The two studies agree that hazards such as smoking, alcohol and sofas multiply the danger. They differ on the babies with none of those hazards, and one likely reason is exactly the measurement problem above: the UK studies asked about alcohol directly. The disagreement does not show that bed sharing is safe for young infants; Blair's estimate for babies under 3 months still leans toward risk. It shows that the size of the risk in the lowest-risk group is not settled.
One Thing Settled, One Not
Settled: bed sharing is associated with SIDS, and that association is much stronger when parents smoke, when the mother has been drinking or using drugs, or when the baby is young. Both studies support this, the finding is consistent with earlier work, and it is the basis of current guidance (Moon et al., 2022).
Not settled: the size of the risk, if any, for a breastfed baby under 3 months whose parents do not smoke, drink or use drugs, sleeping in an adult bed with no other hazards. Carpenter et al. (2013) estimate an odds ratio of 5.1, but it depends in part on imputed alcohol and drug data; Blair et al. (2014) found no significant increase. For parent teaching, that means the nurse can state clearly which conditions make bed sharing dangerous and can explain why the AAP advises against it for young infants, without claiming that one study has proved a fivefold risk for every family.
References
Blair, P. S., Sidebotham, P., Pease, A., & Fleming, P. J. (2014). Bed-sharing in the absence of hazardous circumstances: Is there a risk of sudden infant death syndrome? An analysis from two case-control studies conducted in the UK. PLoS ONE, 9(9), Article e107799. https://doi.org/10.1371/journal.pone.0107799
Carpenter, R., McGarvey, C., Mitchell, E. A., Tappin, D. M., Vennemann, M. M., Smuk, M., & Carpenter, J. R. (2013). Bed sharing when parents do not smoke: Is there a risk of SIDS? An individual level analysis of five major case-control studies. BMJ Open, 3(5), Article e002299. https://doi.org/10.1136/bmjopen-2012-002299
Moon, R. Y., Carlin, R. F., & Hand, I. (2022). Sleep-related infant deaths: Updated 2022 recommendations for reducing infant deaths in the sleep environment. Pediatrics, 150(1), Article e2022057990. https://doi.org/10.1542/peds.2022-057990
NR 503 Week 3 instructions, in plain terms
The Week 3 appraisal has you evaluate the design of a published epidemiologic study. Most sections require the research question, the design as actually performed, how exposure and outcome were measured, the main results, threats to validity, whether conclusions follow and APA. Describe the design as performed, not only as labeled. Build a ledger that sets each claim beside what the design can deliver. Trace where exposure information came from and when, separately for cases and controls. Check who reached the final table and which variables were missing. Compare a second study on the same question. Finish by sorting what the evidence settles from what it leaves open. Quote odds ratios with their confidence intervals.
How the NR 503 Week 3 example is put together
The opening explains the disagreement between room-sharing advice and families who bed-share, with the AAP's position. The design section describes individual-level analysis of five case-control datasets. Table 1 sets claims against the design: an overall adjusted odds ratio of 2.7, the low-risk subgroup estimate of 5.1 and others, each with a verdict. The exposure section explains that cases reported the last sleep before death while controls reported a reference sleep, an asymmetry that can bias results. The final table section shows that alcohol and drug questions were not asked in three datasets. Blair and colleagues' two UK studies found no significant risk in the low-risk group. The closing settles hazardous circumstances and leaves the low-risk question open.
Where the points sit in the NR 503 Week 3 rubric
Study appraisal rubrics in NR 503 generally score accurate identification of design, analysis of measurement and bias, interpretation of results, judgment of whether conclusions follow, use of comparison evidence and APA. The claim ledger is what graders reward most, and this paper builds one that connects each finding to the design's limits. Design is credited for being described as performed. Bias scores through the asymmetric recall of exposure and the missing alcohol data. Results earn points for accurate odds ratios with confidence intervals. Comparison evidence is credited through Blair and colleagues. Separating settled from unsettled questions shows judgment. Three references complete APA. The verdict column lets a reader see at a glance which claims survive the design.
NR 503 Week 3 help from the desk
The claim ledger goes unbuilt more often than anything else, so the appraisal reports a design and some limitations without ever connecting them to the paper's claims. Another loss is accepting the design label without describing what was done. Students also skip when and how exposure was measured, ignore missing variables in subgroups or appraise only the abstract. If a paper never states its design, describe it from the methods. You may appraise a well-run study; strengths need evidence too. Sample detail matters where it changes who the results describe. Send your assigned study and an NR 503 appraisal can be built around a claim ledger.
Get a NR 503 Week 3 example written to your instructions
Send the article your section assigned and the appraisal headings it gave you, and a custom NR 503 Week 3 appraisal is written to that paper and returned inside 24-48h, the first one free. Where the classroom lets you pick the study, send the prompt and we will suggest one that gives the ledger something to work on.
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NR 503 Week 3 questions, answered
What if the paper never states its design?
Then work it out from the methods and say that you did. A study that recruited people with a condition and looked backward at what they had been exposed to is that design whatever the abstract calls it. Naming the arrangement from what was done, and noting that the paper described itself differently, is usually worth more than any single criticism that follows.
Am I allowed to appraise a study I think is well run?
Yes, and it happens often. The appraisal is not a search for damage; it is an account of what this arrangement can and cannot deliver, and a careful study still cannot deliver things its design excludes. Say what it settles, say what it leaves open, and the ledger does the work with no verdict on the researchers.
How much detail about the sample is expected?
Enough to follow people from enrollment to the final table. That means the number who entered, the number analyzed, and one sentence on what is known about the gap. Where the paper does not report it, saying so is itself a finding, because an unexplained difference between those two counts can move an estimate further than most faults that get written up.
Where can I find a free NR 503 Week 3 sample paper?
The complete Week 3 appraisal of the Carpenter bed sharing study, with the design as performed, the claim ledger, exposure timing, missing variables, the Blair comparison and three references, appears on this page.
What does the NR 503 Week 3 appraisal say is not settled?
The size of any risk for a breastfed baby under 3 months whose parents do not smoke, drink or use drugs, sleeping in an adult bed with no other hazards, since the two studies disagree.