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Health Insurance Case

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3. Particular analysis results
Links between single variables of health insurance and all remaining variables accounted for 8.85% of all network connections (Blue and red links in Figure 1. A full list of links is available in the supplemental material). According to general analysis results, by exploring these links with particular emphases on those constituting the most relevant relationships with demographics, culture and income, we explain the role of health insurance in the whole landscape of social resources for wellbeing.
Forty five pairwise links (23 incoming and 22 outgoing) constitute the relationship between health insurance and demographic characteristics. As demographics variables such as age, sex, and relation to household head …show more content…

The flip side of no insurance through Medicare had significant links with lowest retirement income ($0-22,400), middle and highest social security income ($9,800-50,000) and the full rank of supplemental security income ($0-30,000). With no links to insurance or not through Medicare, Middle retirement income ($22,500-<76,000) linked ‘no private insurance’, which indicate this group is not significantly covered by public insurance and significantly not covered by private …show more content…

This variable had also high indices of closeness (Pc=99.1 z=1.5), betweenness (Pc=97.3, z=3.3) and hub weight (Pc=99.5, z=7.1). High indices as itinerant broker (participating in 31 triads, Pc=99.1 z=7.6) and liaison (152 triads, Pc=99.8 z=12.3) signaled its mediating role within and between social variables in resources different to health insurance. According to its high gatekeeper index (14 triads, Pc=95.0 z=1.8), it also mediated between social variables and the health insurance subnetwork, uncovering diverse population profiles without health insurance, such of children but also elders with low retirement incomes or people being covered by social security, some regularly out of the working force, and some with recent family

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