Sentence examples for implausible height from inspiring English sources

Implausible height and weight measurements (>4 SD from the mean for gender-specific and age-specific category, approximately 0.1% of all measurements) were recoded as missing.

Children with a BMI-for-age percentile <1, which usually results from a biologically implausible height, weight, or height-weight combination, were not assigned a weight classification following CDC recommendations [ 16].

Implausible height measurements (>4 SD from the mean for gender- and age-specific category) were re-coded as missing (101 measurements from 96 individuals, ∼0.1% of all available measurements).

Four implausible heights at baseline were excluded, as well as three unreasonable values for weight (0, 1, 10 kg) at the 5-year follow-up.

Clinically implausible values for height, weight and BMI will be excluded with Health Survey for England statistics used as a guide.

Additional analyses considering body mass index (BMI) were restricted to a sample of 158 936 due to missing and/or implausible values for height and/or weight.

An additional four individuals were excluded due to implausible values in height, leaving 2662 men and 4073 women at baseline (Fig.  1).

In this study, respondents with missing or implausible information on height or weight (470 people), as well as respondents with missing information on the utilization of health care (75 people), were excluded.

Participants with implausible anthropometric values (height < 130 cm; BMI < 16 kg/m; WC > 160 cm; or WC < 60 cm and BMI > 25 kg/m) (n = 6), or missing data on anthropometry (n = 599) were further excluded.

Also, an additional 5% of cases were excluded due to biologically implausible values for height (<40 and >83.875 inches) and weight (<75 and >350 pounds) and trimming the most extreme 1% of BMI values, observations greater than the 99.5 percentile or less than the 0.5 percentile (<16.5986 and >50.7722), to remove outliers, leaving a sample size of 151,216 [ 21].

Children with implausible values for height or weight (n = 13) and those missing data on maternal prepregnancy BMI (n = 144), smoking (n = 11), pregnancy weight gain (n = 8), or birth order (n = 2) were excluded, leaving 1,916 children with data for analysis.