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Mean percent body fat, metabolic risk cluster z scores, and insulin levels were significantly greater with weekly purchases of family dinner from fast-food restaurants (P<0.05).
Validity of the cluster solution was supported by significant group differences in body mass index and waist circumference with the High Risk cluster at elevated health risk compared to the others.
Mean percent body fat, metabolic risk cluster z scores, and high-density lipoprotein levels were significantly higher for families who purchased weekly family dinner from takeout sources (P<0.05).
Patients in the high risk cluster (n = 44, high expression of "ES set without proliferation genes") had a significantly shorter TTP than patients in the low risk cluster (n = 57, low expression) (2.7 vs. 4.7 months; Log-rank P value = 0.014) (Figure 2A).
The dependent logit variable contrasted risk cluster against the remaining non-risk cluster areas.
The dependent logit variable contrasted risk cluster districts against the remaining non-risk cluster districts.
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After extracting three maternal risk clusters using LCCA, mothers were classified into three independent clusters (a high-risk cluster, a moderate-risk cluster, and a low-risk cluster).
Because the usage of the appropriate treatment measure is already high (85.5% of households) within high-risk cluster, further improvements might be challenging.
Each high-risk cluster comprises a set of adjacent villages.
Therefore, Cluster 1 was characterized as the high-risk cluster.
Mothers in our sample were divided into three distinct groups with different risks of having offspring with birth defects: a high-risk cluster, a moderate-risk cluster, and a low-risk cluster.
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