Sentence examples for risk clustering from inspiring English sources

There is a growing body of literature exploring risk clustering across countries and populations.

Principal components analysis was used to determine the pattern of risk clustering and to derive a continuous aggregate score (MetScore).

As mentioned earlier, underlying risk factors (both quantified and unquantified) drive the spatial (and temporal) risk clustering observed in this study.

Differing results of health risk clustering studies across countries and in particular for different ethnic subgroups [ 7, 43] highlight the need to examine health risk clusters for different social and population groups [ 10].

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).

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).

These high risk clusters should be targeted for future studies and intervention efforts.

Three deaths occurred in the high risk clusters in West Virginia and in Tennessee.

We identified high risk clusters in four regions of the United States.

However, in high risk clusters of transmission, even extensive coverage by current programs leaves transmission ongoing at reduced levels.

The significant high risk clusters detected should be targeted for future studies and for interventions by public health officials.