In statistical comparisons, a p-value represents the likelihood that an observation was merely due to chance. Researchers look for low p-values (less than 0.05) when they analyze their results because this indicates an observed relationship between two variables is likely to be meaningful. A p-value less than 0.05 indicates that an observed relationship is statistically significant. Examine Table 1 in the research article, which compares the characteristics of the study participants based on their adherence to the DASH diet. Higher adherence to the DASH diet was statistically significantly associated with lower Group of answer choices 1 body mass index (BMI) 2 waist circumference 3 systolic blood pressure 4 diastolic blood pressure
In statistical comparisons, a p-value represents the likelihood that an observation was merely due to chance. Researchers look for low p-values (less than 0.05) when they analyze their results because this indicates an observed relationship between two variables is likely to be meaningful. A p-value less than 0.05 indicates that an observed relationship is statistically significant. Examine Table 1 in the research article, which compares the characteristics of the study participants based on their adherence to the DASH diet. Higher adherence to the DASH diet was statistically significantly associated with lower Group of answer choices 1 body mass index (BMI) 2 waist circumference 3 systolic blood pressure 4 diastolic blood pressure
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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In statistical comparisons, a p-value represents the likelihood that an observation was merely due to chance. Researchers look for low p-values (less than 0.05) when they analyze their results because this indicates an observed relationship between two variables is likely to be meaningful. A p-value less than 0.05 indicates that an observed relationship is statistically significant.
Examine Table 1 in the research article, which compares the characteristics of the study participants based on their adherence to the DASH diet. Higher adherence to the DASH diet was statistically significantly associated with lower
Group of answer choices
1 body mass index (BMI)
2 waist circumference
3 systolic blood pressure
4 diastolic blood pressure
Transcribed Image Text:Table 1. Characteristics of the study participants in the tertiles of the DASH score.
DASH Score Tertiles
Characteristics
Age (years)
Sex
Male
Female
Religion
Christian
Muslim
Parental obesity
Yes
No
All (n = 244)
21.6 ± 2.85
85 (34.8)
159 (65.2)
131 (53.7)
113 (46.3)
52 (21.3)
192 (78.7)
4.0 +0.73
23.2 ± 3.62
23.1±8.75
2.4 ± 2.07
77.7 + 10.15
101.72 ± 10.44
0.8 ± 0.09
115.7 +11.61
67.7 + 9.41
91.7 ± 9.77
T1 (Lowest)
(n = 73)
21.6 ± 3.26
21 (28.8)
52 (71.2)
47 (64.4)
26 (35.6)
17 (23.3)
56 (76.7)
T2 (n = 102)
3.9 ± 0.79
23.1 ± 4.05
24.7 + 8.46
2.6 ± 1.90
80.1 ± 9.15
103.65 + 12.41
0.9 ± 0.09
118.2 + 13.33
69.3 ± 12.13
95.7 11.23
21.6 ± 2.69
39 (38.2)
63 (61.8)
61 (59.8)
41 (40.2)
21 (20.6)
81 (79.4)
T3 (Highest)
(n = 69)
21.6 ± 2.67
4.0 ± 0.66
23.3 ± 3.14
23.1 ± 9.05
2.4 ± 1.81
77.6 ± 10.50
101.289.63
0.8 ± 0.09
114.4 ± 10.65
66.7 ± 10.11
93.2 ± 10.37
25 (36.2)
44 (63.8)
23 (33.3)
46 (66.7)
14 (20.3)
55 (79.7)
p-Value
PAQ-C summary score
BMI (kg/m²)
Fat mass (%)
Visceral fat rating
WC (cm)
Hip circumference (cm)
WHR
Systolic BP (mmHg)
Diastolic BP (mmHg)
Mean BP (mmHg)
Data are presented as n (%) or the mean ± standard deviation. The chi-squared test and one-way variance analysis
were used to compare categorical and continuous variables between DASH score tertiles, respectively. DASH,
Dietary Approaches to Stop Hypertension; PAQ-C, Physical Activity Questionnaire for Older Children; BMI, body
mass index; WC, waist circumference; WHR, waist-to-hip ratio; BP, blood pressure.
4.1 ± 0.75
23.1 3.88
21.6 ±8.68
2.3 ± 2.56
73.7 ± 10.53
100.23 ± 10.11
0.7 ± 0.07
111.6 ± 10.12
65.2 ± 9.60
91.9 ± 9.17
0.996
0.414
<0.001
0.185
0.126
0.932
0.138
0.045
0.023
0.467
0.235
0.010
0.549
0.295
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