Study Design, Attributes & Descriptives Flashcards

(30 cards)

1
Q

What overall study design did Zhuang et al. (2024) use?

A

A large-scale primary prospective cohort study using UK Biobank data.

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2
Q

Which UK resource supplied participants?

A

The UK Biobank, a population-based cohort of >500 000 adults aged 40–69 y.

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3
Q

What were the primary aims of the study?

A
  • Examine associations between overall (PDI), healthful (hPDI) and unhealthful (uPDI) plant-based diet indices and incident CVD;
  • explore potential mediators (dietary components & serum biomarkers).

(ii) explore potential mediators (dietary components & serum biomarkers).

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4
Q

Which three diet quality scores were analysed?

A

PDI, hPDI (healthful), and uPDI (unhealthful).

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5
Q

How were those indices constructed? (short answer)

A

Intake of 18 food groups was ranked into quintiles (1–5 pts); positive vs reverse scoring created PDI, hPDI, uPDI (score range 18–90).

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6
Q

Baseline data-collection window for dietary recalls?

A

2009-2012 (Oxford WebQ online 24-h recalls, up to 5 per person).

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7
Q

Final censor date for follow-up?

A

31 December 2020.

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8
Q

Mean follow-up duration (prediabetes vs diabetes)?

A

9.9 y (prediabetes) and 9.6 y (diabetes).

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9
Q

Initial ‘at-risk’ pool before exclusions?

A

~60 540 with prediabetes and 31 422 with diabetes identified in UK Biobank.

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10
Q

Give four major exclusion criteria at the 2nd screen.

A

Pre-existing CVD, cancer, missing/invalid 24-h recall, type 1 diabetes, or extreme energy intake (<600 / >4200 kcal men; <500 / >3600 kcal women).

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11
Q

Final analytic sample sizes?

A

17 926 with prediabetes; 7 798 with diabetes.

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12
Q

Attrition rates for each group?

A

Prediabetes ≈ 70.4 %; Diabetes ≈ 75.2 %.

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13
Q

Participant age range at baseline?

A

40–69 years.

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14
Q

Primary outcome definition?

A

Incident CVD (hospital ICD-10 codes for CHD, stroke, atrial fibrillation).

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15
Q

Key data-collection tool for diet?

A

Oxford WebQ self-administered 24-h recall.

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16
Q

How many food/drink items are in Oxford WebQ?

A

Nearly 200 distinct items.

17
Q

Why were dietary recalls averaged across occasions?

A

To better reflect long-term intake and reduce measurement error.

18
Q

Which index always assigns reverse scores to animal foods?

A

All three (PDI, hPDI, uPDI) assign reverse scores to animal foods.

19
Q

What differentiates hPDI from uPDI scoring?

A

hPDI gives positive points to healthy plant foods & reverse to less-healthy; uPDI does the opposite.

20
Q

Give two examples of ‘healthy plant foods’ in this study.

A

Whole grains; fruits/vegetables (nuts, legumes, tea/coffee also counted).

21
Q

Give two examples of ‘less-healthy plant foods’.

A

Sugar-sweetened beverages; refined grains (plus potatoes, sweets/desserts, fruit juice).

22
Q

What serum biomarkers were later tested as mediators?

A

Cystatin C, creatinine, CRP, HDL-C, IGF-1, among others.

23
Q

Which risk assessment scores were reported for study quality?

A

Newcastle-Ottawa = 9/9; Downs & Black = 24/28; Jadad = 1/5.

24
Q

Why exclude events within 2 years of baseline?

A

To reduce reverse causality (diet change due to pre-clinical CVD).

25
Statistical model used for incidence analysis?
Cox proportional-hazards (Model 1 age/sex; Model 2 multivariable).
26
List three covariate categories in Model 2.
Socio-demographics (income/TDI), lifestyle (smoking, alcohol, physical activity), clinical history (HTN, hypercholesterolaemia, family CVD/DM).
27
Mean person-years accrued for prediabetes group?
172 610 person-years.
28
Number of CVD events recorded in diabetes group?
1 461 events.
29
Core take-home on study scope (one sentence)?
A decade-long UK Biobank cohort shows how quality, not just quantity, of plant-based eating relates to hard CVD outcomes in high-risk groups.
30