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. 2021 Aug 24;6:72. doi: 10.1038/s41525-021-00236-2

Table 3.

Associations between high-risk results, provider recommendations, and patient-reported health behavior changes.

Time point/behavior Monogenic disease risk (ref: none) OR (95% CI) p Cardiometabolic risk prediction (per condition in 80th percentile risk) OR (95% CI) p
Recommendations
Any change 0.59 (0.15–1.84) 0.391 1.68 (1.07–2.72) 0.027
 Health behavior 0.79 (0.21–2.50) 0.702 1.41 (0.88–2.32) 0.161
 Medication 1.51 (0.19–8.41) 0.652 1.99 (0.94–4.97) 0.097
Changes at 6 weeks
Any change 1.72 (0.62–4.79) 0.292 1.49 (1.00–2.23) 0.049
 Exercise 1.94 (0.66–5.74) 0.228 1.54 (0.99–2.41) 0.057
 Diet 1.60 (0.55–4.67) 0.387 1.27 (0.83–1.96) 0.266
 Supplements 1.73 (0.30–9.92) 0.534 1.25 (0.54–2.86) 0.602
 Medications 0.37 (0.04–3.21) 0.366 1.28 (0.64–2.56) 0.474
 Other NAa 0.568 0.48 (0.08–2.94) 0.424
Changes at 6 months
Any change 2.11 (0.74–6.03) 0.160 1.52 (1.04–2.24) 0.032
 Exercise 2.39 (0.85–6.72) 0.098 1.59 (1.05–2.40) 0.029
 Diet 1.88 (0.67–5.27) 0.227 1.34 (0.91–1.98) 0.134
 Supplements 0.79 (0.08–7.39) 0.832 1.23 (0.59–2.57) 0.571
 Medications 0.29 (0.03–2.49) 0.258 1.50 (0.83–2.72) 0.175
 Other 2.03 (0.16–25.50) 0.578 1.06 (0.32–3.53) 0.918

High-risk results were defined in two ways: (1) identification of an unexpected monogenic disease risk (analyses exclude two patients who were previously diagnosed with hemochromatosis, who received monogenic disease risk findings on their GS report) and (2) number of polygenic predictions about cardiometabolic traits (range: 0–8) where patients were identified to be in the 80th percentile for genetic risk, per polygenic risk predictions. Means and 95% confidence intervals of odds ratios were estimated using logistic regression or generalized estimating equations using logit linking functions and binomial distributions.

aAn odds ratio could not be estimated, because no participant with an unexpected monogenic disease risk reported a change to this category at 6 weeks post disclosure. The p-value was estimated using a Fisher’s exact test on available data.