females are 60.3% and 59.1%, respectively. Hence it is
unlikely that lower marriage rate among twins is caused by
poorer health of twins compared with that of singletons.
Unknown Zygosity
The unknown zygosity twins are a heterogeneous group
consisting of identified twins who either didn’t respond
to the questionnaire on physical similarities or whose
answers were inconsistent. In a previous register-based
study of school achievements of Danish adolescent twins
from birth cohorts 1986–1989 it was demonstrated that
the parents of unknown zygosity twins had lower educa-
tional level and were slightly younger, and the UZ twins
had significantly worse school achievements compared
with twins of known zygosity (Petersen et al., 2009). In the
present study we demonstrated that the unknown zygosity
twins had lower marriage rates and higher divorce rates
compared with twins of known zygosity, and the disad-
vantage was highest among non-responders. Hence, most
likely it is the general picture that the twins whose zygosity
is not accessible — especially those who didn’t respond to
the questionnaire — are disadvantaged compared to twins
with known zygosity.
Limitations
Our study only covers legal marriages and not couples
living together without being married. However, since
86% of all individuals from birth cohorts 1940–64 were or
had been legally married in 2002 and furthermore we have
no reason to believe that twins who live together are more
likely to be unmarried than singletons living together, it is
unlikely to introduce a bias to our study.
A second concern is the erroneous registration of date
of marriage. Approximately 2.5% of our sample was
excluded from the Cox analyses, either because they had
ended their first marriage before the start of the CPR-reg-
ister or due to registration errors. We found an uneven
distribution of these exclusions in that more females than
males were excluded and more singletons than twins were
excluded. Still, the twin-singleton difference in exclusion
rate is very small for both males (twins: 2.0%; singletons:
2.3%) and for females (twins: 2.6%; singletons: 3.3%),
thus we do not expect that this causes any substantial bias
in the results.
The Danish Twin Register holds approximately 70% of
the twins born in the period from 1940–64, the remaining
twins are mainly lost due to infant death of one or both of
the twins prior to the start of the CPR register in April
1968 (Skytthe et al., 2002). Since we only include individu-
als surviving to age 15 the loss due to incompleteness is
quite a lot lower: mainly twins surviving to age 15 without
a surviving co-twin are missing in our sample. This might
introduce a bias in our study if infant death is associated
with marital status of the surviving twin.
Due to either non-response or conflicts of the answers,
zygosity was missing for 11.2% of same-sex twins. This
group has, as demonstrated in the present study, lower
marriage as well as higher divorce rates compared with
same-sex twins of known zygosity. Hence, the present
results for MZ and same-sex DZ twins are slightly over-
estimated.
We have limited the study to first marriage. There may
have been a few individuals who were married at a young
age, and divorced and remarried before April 2, 1968.
Since the oldest in our study are turning 28 in 1968 this
group must be small and therefore we do not expect this
to distort the results of our study.
Strengths
The size of the study (35,975 twins and 91,803 singletons)
combined with the register-based results are the major
strengths of the study. No prior study has examined such
a large sample with minimal selection bias and loss to
follow up.
Conclusion
We conclude that twins are married at slightly older ages
compared with singletons, that twins have lower marriage
rates compared with singletons, and that female twins
have lower divorce rates compared with singletons, but no
difference is observed for divorce rates among males. The
results might indicate that twins do not have the same
need for marriage as singletons but female twins are better
at maintaining the marriage thereby avoiding divorce.
References
Ben-Shlomo, Y., Smith, G. D., Shipley, M., & Marmot, M. G.
(1993). Magnitude and causes of mortality differences
between married and unmarried men. Journal of
Epidemiology and Community Health, 47, 200–205.
Christensen, K., Vaupel, J. W., Holm, N. V., & Yashin, A. I.
(1995). Mortality among twins after age 6: Fetal origins
hypothesis versus twin method. BMJ, 310, 432–436.
Christensen, K., Wienke, A., Skytthe, A., Holm, N. V., Vaupel,
J. W., & Yashin, A. I. (2001). Cardiovascular mortality in
twins and the fetal origins hypothesis. Twin Research, 4,
344–349.
Christiansen, L., Frederiksen, H., Schousboe, K., Skytthe, A.,
von Wurmb-Schwark, N., Christensen, K. et al. (2003).
Age- and sex-differences in the validity of questionnaire-
based zygosity in twins. Twin Research, 6, 275–278.
Ebrahim, S., Wannamethee, G., McCallum, A., Walker, M., &
Shaper, A. G. (1995). Marital status, change in marital
status, and mortality in middle-aged British men.
American Journal of Epidemiology, 142, 834–842.
Emerek, R., Hansen, P. V., & Leth-Sorensen, S. (1990).
Documentation of the Danish Database for Labor Market
Research (Danish). Retrieved from http://dst.dk/
upload/hovedrapport.pdf
Foy, A. K., Vernon, P., & Jang, K. (2001). Examining the
dimensions of intimacy in twin and peer relationships.
Twin Research, 4, 443–452.
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