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Figure 1.

Example Family Health History CEGRM for 41-year-old Male Study Participant
Example Family Health History CEGRM for 41-year-old Male Study Participant

Figure 2.

Example Familial Network, 33-year old Male Participant
Example Familial Network, 33-year old Male Participant

Alter characteristics associated with alter being named as a personal health informant by ego

Odds Ratio95% Confidence Intervalp-value
Alter gender
  Male[Reference]
  Female2.141.65, 2.770.0519
Geographic homophily
  Alter and ego lives in different states[Reference]
  Alter and ego live in same state1.551.45, 3.460.2873
Gender homophily
  Alter and ego are different genders[Reference]
  Alter and ego are the same gender1.150.58, 2.270.6918
Alter generation
  Alter and ego are in the same generation[Reference]
  Alter is 1 generation above ego1.260.93, 3.190.6305
  Alter is 2 generations above ego0.820.31, 2.160.6804
Alter family side
  Paternal[Reference]
  Maternal1.120.48, 2.560.0006
Alter has ≥1 chronic health condition2.411.32, 4.620.0041
Alter talks about ego’s health16.286.42, 40.85<0.0001
Alter avoids health discussions5.002.51, 16.610.0969
Alter is a source of family health information3.461.40, 8.500.0072
Ego monitors and tracks alter’s health5.932.36, 14.880.0002
Ego helps alter with managing health2.772.18, 16.780.2663
Alter shares helpful health facts1.202.69, 3.860.7672

Alter and tie descriptive statistics (n = 1,078)

PercentMeanStandard DeviationRange
Gender
  Female51.8
  Male48.2
Age (Years)49.623.51-97
Relationship to ego
  Grandparent12.1
  Parent6.5
  Aunt or uncle24.8
  Sibling13.0
  Cousin43.7
Lives in same state as ego34.3
>1 health conditions reported25.5
Health conditions*
  Hypertension10.8
  Cancer6.9
  Diabetes6.0
  Heart disease5.4
  Mental illness5.3
  Kidney disease2.1
Health communication exchanges
  Alter talks to ego about ego’s health11.0
  Alter talks to ego about alter’s health14.5
  Reciprocal health discussions8.5
  Alter avoids discussions about health9.2
  Alter is a source of family health information13.2
  Ego monitors and tracks alter’s health12.3
  Ego helps alter with managing health5.6
  Alter shares helpful health facts7.4

Network descriptive statistics (n = 37 networks)

MeanStandard DeviationRange
Network size29.1415.5410.00-67.00
Proportion male0.480.070.39-0.67
Homophily
  Gender0.500.070.40-0.67
  Generation0.520.150.07-0.72
  Same state0.340.290.00-1.00
Proportion of network by family relationship
  Grandparent0.150.080.04-0.40
  Parent0.080.040.03-0.20
  Aunt or uncle0.250.100.10-0.71
  Sibling0.150.100.00-0.39
  Cousin0.360.190.00-0.63
Proportion of network reporting >1 health conditions0.260.130.00-0.58
Proportion of network by health communication role
  Alter talks to ego about alter’s health0.170.110.00-0.50
  Alter talks to ego about ego’s health0.130.120.00-0.56
  Reciprocal health discussions0.100.090.00-0.40
  Alter avoids discussions about health0.090.100.00-0.50
  Alter is a source of family health information0.130.090.00-0.42
  Ego monitors and tracks alter’s health0.150.100.00-0.40
  Ego helps alter with managing health0.050.070.00-0.30
  Alter shares helpful health facts0.080.070.00-0.27
Proportion of network by generation
  Same generation as ego0.520.150.07-0.72
  1 generation above ego0.330.110.22-0.78
  2 generations above ego0.150.080.04-0.40

Emergent themes and exemplary quotes for family health history knowledge prompts

ThemeQuote
Open Communication“Well growing up, my mother often talked about kidney disease as well as diabetes running in our family. So, we made an effort – on physicals and so forth – that they also check those organs out.”
Observation“So that was known my entire life because…he [my grandfather] always had the syringe and the needle…It was something I saw and it was always a big deal. It was a really big deal… Him having to take insulin.”
Caregiving“I took care of him [my father] for a while, so, I learned a lot of his health issues and concerns because I was the caretaker. I had to know his pill schedule and different little things… then [I] was able to talk to the doctors, because I was the one giving him his care, I learned a lot and did research about what they were telling me that his conditions were.”
Post-Death Knowledge“I actually didn’t know while he [my father] was living that he had diabetes. I didn’t find out until after… when I had to clean out his things and then being the one who he left in charge of everything, I had to speak with the doctors. So, I was finding out a lot more about his health after he had passed.”
Speculation*“I don’t know if she [my cousin] would even take meds, but she definitely is either manic depressant or bipolar or something. Even her mother thinks so…Observing her behavior.”

Participant demographics and self-reported health status (n = 37)

PercentMeanStandard DeviationRange
Gender
  Female48.6
  Male51.4
Age (Years)43.816.819-68
Marital status
  Single47.2
  Married or in long-term partnership47.2
  Divorced2.8
Household size1.61.30-5
Educational level
  High school or less11.1
  Some college19.4
  College graduate38.9
  Master’s degree or higher27.8
History of health issues
  Hypertension35.1
  High cholesterol27.0
  Asthma13.5
  Diabetes or high blood sugar10.8
  Cancer8.1
  Stroke5.4
  Heart attack0.0
  Other18.9
Health status
  Excellent13.9
  Good61.1
  Fair19.4
  Poor or very poor5.4
Experience working in health care field40.5
eISSN:
1529-1227
Idioma:
Inglés
Calendario de la edición:
Volume Open
Temas de la revista:
Social Sciences, other