BMC Medical Research Methodology

Table 3 Prevalence estimates of overweight, obesity, hypertension and hypercholesterolemia using self-reported data (BHIS 2018) and measured data (BHES 2018). Sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) using self-reported data

From: Using random-forest multiple imputation to address bias of self-reported anthropometric measures, hypertension and hypercholesterolemia in the Belgian health interview survey

	Overweight (%)			Obesity (%)
	Total	Men	Women	Total	Men	Women
Prevalence BELHES [95% CI]	34 [31-38]	39 [34-45]	29 [25-34]	22 [19-25]	20 [16-24]	22 [18-27]
Prevalence BHIS [95%IC]	34 [30-37]	39 [34-44]	29 [24-33]	15 [13-18]	14 [11-18]	16 [13-21]
Sensitivity	78	80	73	69	69	65
Specificity	88	86	89	99	99	99
PPV	78	80	75	94	95	93
NPV	88	86	85	92	92	91
	Hypertension (%)			Hypercholesterolemia (%)
	Total	Men	Women	Total	Men	Women
Prevalence BELHES [95% CI]	33 [29-36]	33 [28-38]	33 [28-38]	47 [43- 51]	46 [40-51]	48 [43-53]
Prevalence BHIS [95%IC]	16 [13-19]	15 [12-19]	17 [13-21]	21 [18- 24]	18 [14-2]	22 [17-27]
Sensitivity	45	41	51	22	41	18
Specificity	99	97	98	83	78	87
PPV	90	88	91	56	45	66
NPV	79	74	83	52	54	51

^*CI Confidence interval. Significant underestimation of the prevalence estimates for obesity, hypertension and hypercholesterolemia in the BHIS (P < 0.001)

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