HLTH 8035 Week 10 Causal Claim Audit Example

Course	HLTH 8035 Epidemiology: Decoding the Science of Public Health
Week	Week 10
Paper type	Causal claim audit
Length	About 770 words, 5 pages
Format	APA 7 student paper
School	Walden University
Program	PhD in Public Health
Updated	October 2026

Free sample paper for HLTH 8035 Week 10

Causal Claim Audit: Five Considerations a Long-Working-Hours and Stroke Cohort Claims in Its Discussion, Checked Against the Evidence the Paper Actually Presents

Student Name

Walden University

HLTH 8035: Epidemiology: Decoding the Science of Public Health

Instructor Name

Month Day, Year

What this page is doingThe title frames the audit as a check of the authors' use of causal considerations, not a recitation of the considerations themselves.

Causal Claim Audit: Five Considerations a Long-Working-Hours and Stroke Cohort Claims in Its Discussion, Checked Against the Evidence the Paper Actually Presents

The Study and Its Claim

The composite cohort followed 18,000 employed adults for twelve years after they reported their usual weekly working hours at enrollment. Compared with people working 35 to 40 hours, those working 55 hours or more had a higher rate of first stroke, with an adjusted hazard ratio of 1.35. In the discussion, the authors argue that long working hours cause stroke, invoking five of Hill's considerations: strength, consistency, temporality, dose-response and biological plausibility. Hill offered these as viewpoints to weigh, not as a checklist that proves causation when ticked (Hill, 1965). This audit judges whether each consideration, as the authors use it, is supported by what the paper presents.

What this page is doingCredited at the outset as the authors' chosen frame, Hill's considerations become the standard the audit applies to their reasoning rather than a list it repeats.

Audit Table

Table 1

Causal Considerations Claimed and the Evidence Presented

Consideration	Authors' claim, paraphrased	Evidence actually presented	Verdict \|
Temporality	Hours were measured before stroke occurred	Hours recorded at enrollment; strokes in the first year excluded	Met \|
Strength	The association is strong enough to be causal	Hazard ratio of 1.35, adjusted for age, sex and smoking only	Partly met \|
Consistency	Other studies report the same finding	Citation of a meta-analysis whose included studies mostly used self-reported hours	Weaker than claimed \|
Dose-response	Risk rises with hours worked	Three categories: 35 to 40, 41 to 54 and 55 or more hours, with the middle category showing no increase	Asserted without support \|
Biological plausibility	Long hours raise stress, blood pressure and sedentary time	Mechanisms described from other literature; none measured in the cohort	Described, not tested \|

One consideration is met, one partly met, and three rest on less than the discussion claims.

Temporality: Met

Working hours were reported at enrollment, before any stroke, and the authors excluded strokes in the first year to reduce the chance that early illness shaped reported hours. This is the one consideration the design fully satisfies.

Strength: Partly Met

A hazard ratio of 1.35 is modest. Modest associations can be causal, but they are also the size that residual confounding can produce. The model adjusted for age, sex and smoking, but not for occupation, income or shift work. People working 55 hours or more include both well-paid professionals and low-wage workers holding two jobs, and occupational class is strongly related to stroke risk through many paths. Unmeasured confounding of plausible size could account for an association of this magnitude, so strength offers only partial support.

Consistency: Weaker Than Claimed

The authors cite a large meta-analysis that found a higher risk of stroke among people working long hours (Kivimäki et al., 2015). That is genuine consistency in the direction of the association. But consistency adds most when studies with different designs and different weaknesses agree. Most of the included cohorts, like this one, relied on a single self-report of working hours and adjusted for overlapping confounders. Studies sharing the same weakness can agree with one another for the same wrong reason, so consistency here is weaker than the discussion implies.

Dose-Response: Asserted Without Support

The discussion states that risk "increased with longer hours." The paper presents three categories. The middle category, 41 to 54 hours, had a hazard ratio of 1.02, essentially the same as the reference, and only the top category was elevated. A gap between two extreme categories is not a dose-response relationship; a gradient requires risk to rise across levels of exposure, ideally across several categories or a continuous measure. The paper's own data show a threshold at most, and possibly a feature of who works the longest hours.

Biological Plausibility: Described, Not Tested

The authors describe plausible pathways, including chronic stress responses, elevated blood pressure, reduced physical activity and alcohol use. These pathways are reasonable, but none was measured in the cohort, so the paper cannot show that the association runs through them. Plausibility also depends on current knowledge and can be found for almost any association (Rothman & Greenland, 2005), which makes it the weakest consideration to rest a causal claim on.

What the Audit Supports

The cohort supports a temporal association between very long working hours and later stroke, consistent with earlier studies. It does not support the causal conclusion in its discussion, because the strength of the association is within reach of unmeasured occupational confounding, the consistency rests on studies sharing the same exposure measure, the claimed dose-response is not in the data and the mechanisms were not tested. A defensible conclusion would read: "Working 55 hours or more was associated with a modestly higher risk of stroke; residual confounding by occupation and income cannot be excluded."

References

Hill, A. B. (1965). The environment and disease: Association or causation? Proceedings of the Royal Society of Medicine, 58(5), 295-300. https://doi.org/10.1177/003591576505800503

Kivimäki, M., Jokela, M., Nyberg, S. T., Singh-Manoux, A., Fransson, E. I., Alfredsson, L., Bjorner, J. B., Borritz, M., Burr, H., Casini, A., Clays, E., De Bacquer, D., Dragano, N., Erbel, R., Geuskens, G. A., Hamer, M., Hooftman, W. E., Houtman, I. L., Jöckel, K.-H., . . . Virtanen, M. (2015). Long working hours and risk of coronary heart disease and stroke: A systematic review and meta-analysis of published and unpublished data for 603 838 individuals. The Lancet, 386(10005), 1739-1746. https://doi.org/10.1016/S0140-6736(15)60295-1

Rothman, K. J., & Greenland, S. (2005). Causation and causal inference in epidemiology. American Journal of Public Health, 95(S1), S144-S150. https://doi.org/10.2105/AJPH.2004.059204

The Walden HLTH 8035 Week 10 instructions

The tenth week asks for an audit of the causal claims in a study's discussion section. Students identify which causal considerations the authors invoke, often Hill's, and check each claim against the evidence actually presented in the paper. A table with the claim, the evidence and a verdict, such as met, partly met or asserted without support, keeps the audit systematic. Short sections beneath the table argue each verdict. The audit judges the authors' use of the considerations, not the list itself, and recognizes that the considerations are aids to judgment rather than a checklist. A closing statement offers wording the evidence supports. Sources follow APA style. The audit should avoid adding new causal claims of its own.

How the HLTH 8035 Week 10 example is put together

The sample summarizes the composite cohort and its hazard ratio for 55 or more weekly hours. Its table covers temporality, strength, consistency, dose-response and plausibility. Sections argue each verdict: temporality met, since hours preceded stroke; strength partly met, since occupation and income were not adjusted; consistency weaker than claimed, since a cited meta-analysis drew on studies sharing self-reported hours; dose-response unsupported, since the middle category showed no increase; and plausibility described from other literature without testing. A final section proposes associational wording that names residual confounding. The cohort and its figures are composite, while the meta-analysis cited is real.

Where the marks sit in the HLTH 8035 Week 10 rubric

Causal claim audits are graded on matching each claim to the evidence. Faculty reward audits that paraphrase the authors' claims accurately, check them against what the paper presents and give reasoned verdicts. Distinguishing a gradient from a gap between extreme categories earns credit, as does recognizing that consistent studies can share a common weakness. Treating Hill's considerations as aids to judgment, not a scorecard, shows maturity. A closing statement of supportable wording links the audit to practice. Audits that simply recite the considerations or accept the authors' verdicts lose marks. Accurate citations complete the work. Verdicts written as met, partly met or unsupported make the audit easy to follow.

HLTH 8035 Week 10 help from the desk

Causal claim audits often fall short by listing Hill's considerations and checking them off without looking at the paper's data. Another common problem is accepting a claimed dose-response from two or three categories. Some students also treat consistency as proof even when cited studies share the same measurement problem. To write a stronger audit, quote or paraphrase each causal claim. Find the evidence for it in the paper's own results. Give a verdict and explain it. Pay attention to category patterns and shared weaknesses. End with wording the evidence can carry. If you need a causal claim audit of a study in your area, our team can prepare one. Keep each verdict to one or two sentences of reasons.

Get a HLTH 8035 Week 10 example written to your instructions

Paste in the Week 10 prompt and rubric, together with the study or review whose causal claims you are auditing. Each claim the authors make is checked against the evidence they actually present and given a verdict, and the audit ends on the causal wording the paper has earned. A first audit costs nothing; allow 24-48 hours.

More HLTH 8035 papers and PhD in Public Health samples

HLTH 8035 Week 10 questions, answered

Where can I find a free HLTH 8035 Week 10 sample paper?

A complete Week 10 audit of five causal considerations claimed in a composite working hours and stroke cohort, with three references, comes next on this page.

Which consideration does the HLTH 8035 Week 10 audit find met?

Temporality, because working hours were recorded at enrollment before any stroke and first-year strokes were excluded.

Why is the dose-response claim unsupported?

The paper used three categories, and the middle one showed no increase, so the data show a gap between extremes rather than a gradient.

Why is consistency weaker than claimed?

The cited studies mostly relied on self-reported working hours, so they could agree for the same flawed reason.

What wording does the audit propose?

That working 55 hours or more was associated with a modestly higher risk of stroke, with residual confounding by occupation and income not excluded.