The cumulation of ill health and low agency in socially excluded city dwellers in the Netherlands: how to better identify high-risk/high-need population segments with public health survey data

Table 6 Prevalence and proportion of ill health and personal control by population segment (%‘s, weighted ^a)

	SE segment		SE + low labour market segment
	Prevalence	Proportion^b	Prevalence	Proportion^b
CVD risk factors
Diabetes	13.8	20.2	12.3	35.0
High blood pressure	21.4	15.5	20.3	28.4
Current smoking	38.2	15.3	35.5	26.9
Obesity (BMI 30 or higher)	23.5	17.6	23.0	33.0
Inactivity	24.3	26.6	20.3	43.8
Cancer	3.6	12.8	3.7	26.1
Self-rated health fair or poor	64.4	24.4	59.3	43.3
Anxiety and depression symptoms	42.4	47.5	31.5	67.2
Low personal control	48.6	41.7	35.5	60.4

^a Sampling weights were calculated by Statistics Netherlands based on a linear model with 9 sociodemographic variables and their interaction terms [28]
^b The proportion of the population with the condition in question, that falls within this segment. For example row 1 Diabetes: of the 174,134 socially excluded adults 24,030 or 13.8% reported diabetes. The socially excluded population segment thus accounted for 20.2% of all 118,965 diabetes cases (24,030/118,965)

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