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Did the authors note any differences in gender with regard to fish consumption and inflammatory markers? What does this result mean? When compared with the non-fish consumers, those who consumed >300 g of fish per week had on average ____% lower CRP. Was this result significant? How do you know? What was the value of Amyloid A (mg/dl) for the group that made up the largest percentage of the sample? How much fish did this group consume? Do the study findings have implications for health care? If so what are they? Provide a rationale for your answer.

Did the authors note any differences in gender with regard to fish consumption and inflammatory markers? What does this result mean? When compared with the non-fish consumers, those who consumed >300 g of fish per week had on average ____% lower CRP. Was this result significant? How do you know? What was the value of Amyloid A (mg/dl) for the group that made up the largest percentage of the sample? How much fish did this group consume? Do the study findings have implications for health care? If so what are they? Provide a rationale for your answer.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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Did the authors note any differences in gender with regard to fish consumption and inflammatory markers? What does this result mean?

When compared with the non-fish consumers, those who consumed >300 g of fish per week had on average ____% lower CRP. Was this result significant? How do you know?

What was the value of Amyloid A (mg/dl) for the group that made up the largest percentage of the sample? How much fish did this group consume?

Do the study findings have implications for health care? If so what are they? Provide a rationale for your answer. 

**Table 2. Inflammatory Markers and Daily Fish Consumption** | Fish Consumption | No. (11%) | <150 g/week (56%) | 150–300 g/week (24%) | >300 g/week (9%) | p Value | |------------------------|-----------|-------------------|----------------------|------------------|----------| | Number of participants (%) | 319 | 1,719 | 745 | 259 | — | | C-reactive protein (mg/l) | 2.7 ± 1.2 | 2.0 ± 1.1† | 2.0 ± 2.1† | 1.8 ± 1.1† | 0.004 | | Interleukin-6 (ng/ml) | 1.5 ± 0.5 | 1.3 ± 0.6‡ | 1.2 ± 1.1‡ | 1.0 ± 0.3‡ | 0.03 | | Tumor necrosis factor-alpha (mg/dl) | 5.3 ± 3 | 5.1 ± 2† | 4.7 ± 3† | 4.2 ± 2‡ | <0.001 | | Amyloid A (mg/dl) | 6.4 ± 3 | 5.9 ± 4‡ | 5.1 ± 4‡ | 4.6 ± 3‡ | 0.004 | | White blood cells (×1,000 counts) | 6.8 ± 3 | 6.7 ± 4 | 6.5 ± 4‡ | 6.5 ± 3‡ | 0.04 | **Notes:** - No gender differences were observed. - p values derived from ANOVA that evaluated associations between inflammatory markers (dependent) and fish intake (independent factor). - †p ≤ 0.05 and ‡p < 0.01 (Bonferroni-corrected) for differences between fish consumption groups vs. no consumption. - Probability values derived from the analysis of variance (ANOVA).
Transcribed Image Text:**Table 2. Inflammatory Markers and Daily Fish Consumption** | Fish Consumption | No. (11%) | <150 g/week (56%) | 150–300 g/week (24%) | >300 g/week (9%) | p Value | |------------------------|-----------|-------------------|----------------------|------------------|----------| | Number of participants (%) | 319 | 1,719 | 745 | 259 | — | | C-reactive protein (mg/l) | 2.7 ± 1.2 | 2.0 ± 1.1† | 2.0 ± 2.1† | 1.8 ± 1.1† | 0.004 | | Interleukin-6 (ng/ml) | 1.5 ± 0.5 | 1.3 ± 0.6‡ | 1.2 ± 1.1‡ | 1.0 ± 0.3‡ | 0.03 | | Tumor necrosis factor-alpha (mg/dl) | 5.3 ± 3 | 5.1 ± 2† | 4.7 ± 3† | 4.2 ± 2‡ | <0.001 | | Amyloid A (mg/dl) | 6.4 ± 3 | 5.9 ± 4‡ | 5.1 ± 4‡ | 4.6 ± 3‡ | 0.004 | | White blood cells (×1,000 counts) | 6.8 ± 3 | 6.7 ± 4 | 6.5 ± 4‡ | 6.5 ± 3‡ | 0.04 | **Notes:** - No gender differences were observed. - p values derived from ANOVA that evaluated associations between inflammatory markers (dependent) and fish intake (independent factor). - †p ≤ 0.05 and ‡p < 0.01 (Bonferroni-corrected) for differences between fish consumption groups vs. no consumption. - Probability values derived from the analysis of variance (ANOVA).
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