Abstract:
INTRODUCTION : Marriage formation and dissolution are important life-course events which
impact psychological well-being and health of adults and children experiencing the
events. Family studies have usually concentrated on analyzing single transitions including
Never Married to Married and Married to Divorced. This does not allow understanding
and interrogation of dynamics of these life changing events and their effects on individuals
and their families. The objective of this study was to assess determinants associated with
transitions between and within marital states in South Africa.
METHODS : The population-based data available for this study consists of over 55, 000
subjects representing over 340, 000 person-years exposure from the Africa Health
Research Institute (AHRI) in rural KwaZulu-Natal, South Africa. It was collected from 1
January 2004 to 31 December 2016. Multilevel multinomial, binary and competing risks
regression models were used to model marital state occupation, transitions between
marital states as well as investigate determinants of marital dissolution, respectively.
RESULTS : Between the years 2006 and 2007, a subject was more likely to be married
than never married when compared to years 2004 − 2005. After 2007, subjects were
less likely to be married than never married and the trend reduced over the years up to
2016 [with OR=0.86, CI=(0.78; 0.94), OR=0.71, CI=(0.64; 0.78), OR=0.60, CI=(0.54;
0.67), OR=0.50, CI=(0.44; 0.56), and OR = 0.43,CI = (0.38; 0.48)] for periods
2008 − 2009, 2010 − 2011, 2012 − 2013, 2014 − 2015, and 2016, respectively. In
2008 − 2009, subjects were more likely to experience a marital dissolution than in the
period 2004 − 2005 and the trend slightly reduces from 2010 until 2013 [OR=24.49,
CI=(5.53; 108.37)]. Raising age at first sexual debut was found to be inversely associated
with a marital dissolution [OR = 0.97;CI = (0.95; 0.99)]. Highly educated subjects were more likely to stay in one marital state than those who never went to school [OR=6.43,
CI=(4.89; 8.47), OR=18.86, CI=(1.14; 53.31), and OR=2.96, CI=(1.96; 4.46) for being
married, separated and widowed, respectively, among subjects with tertiary education].
As the age at first marriage increased, subjects became less likely to experience a
marital separation [OR = 0.06,CI = (0.00; 1.11),OR = 0.05,CI = (0.00; 0.91),
and OR = 0.04,CI = (0.00; 0.76) for subjects who entered a first marriage at ages
18 − 22, 23 − 29, and 30 − 40, respectively].
CONCLUSION : The study found that marrying at later ages is associated with a lower rate
of marital dissolution while more educated subjects tend to stay longer in one marital
state. Sexual debut at later ages was associated with a lower likelihood of experiencing
a marital dissolution. There could, however, be some factors that are not accounted for
in the model that may lead to heterogeneity in these dynamics in our model specification
which are captured by the random effects in the model. Nonetheless, we may postulate
that existing programs that encourage delay in onset of sexual activity for HIV risk
reduction for example, may also have a positive impact on lowering rates of marital
dissolution, thus ultimately improving psychological and physical health.