Heritability of self-reported health.
OBJECTIVE
To explore the contribution of genes and environmental factors to variation in a common measure (i.e., a five-point--excellent, very good, good, fair, and poor--Likert scale) of self-reported health.


METHODS
Data were analyzed from 4,638 male-male twin pair members of the Vietnam Era Twin (VET) Registry who responded to a 1987 health survey.


METHODS
Varying models for the relationship between genetic and environmental influences on self-reported health were tested in an attempt to explain the relative contributions of additive genetic, shared and nonshared environmental effects, and health conditions reported since 1975 to perceived health status.


METHODS
A mail and telephone survey of health was administered in 1987 to VET Registry twins.


RESULTS
Variance component estimates under the best-fitting model included a 39.6 percent genetic contribution to self-reported health. In a model which included the effect of health condition, genes accounted for 32.5 percent and health condition accounted for 15.0 percent of the variance in self-reported health. The magnitude of the genetic contribution to perceived health status was not significantly different in a model with or without health condition.


CONCLUSIONS
These data suggest over one-third of the variability of self-reported health can be attributed to genes. Since perceived health status is a major predictor of morbidity, mortality, and health services utilization, future analyses should consider the role of heritable influences on traditional health services variables.
Romeis
J C
JC
School of Public Health, St. Louis University, MO 63108, USA.
Scherrer
J F
JF
Xian
H
H
Eisen
S A
SA
Bucholz
K
K
Heath
A C
AC
Goldberg
J
J
Lyons
M J
MJ
Henderson
W G
WG
True
W R
WR
D000368:Aged; D000704:Analysis of Variance; D004781:Environmental Exposure / Q000009:adverse effects*; D020022:Genetic Predisposition to Disease / Q000235:genetics*; D015438:Health Behavior; D007722:Health Knowledge, Attitudes, Practice; D006296:Health Services / Q000706:statistics & numerical data; D006304:Health Status; D006306:Health Surveys; D006801:Humans; D008297:Male; D008875:Middle Aged; D008957:Models, Genetic; D009017:Morbidity; D009026:Mortality; D011237:Predictive Value of Tests; D012042:Registries; D012307:Risk Factors; D011795:Surveys and Questionnaires; D014481:United States / Q000453:epidemiology; D014728:Veterans / Q000523:psychology / Q000706:statistics & numerical data