Effects of husbands’ and wives’ education on each other's mortality
Introduction
Mortality differentials associated with educational achievement have been widely documented among individuals living in industrialized countries (Borrell, Regidor, Arias, Navarro, Puigpinos, Dominguez et al., 1999; Elo & Preston, 1996; Krokstad, Kunst, & Westin, 2002; Kunst & Mackenbach, 1994; Mackenbach, Kunst, Groenhof, Borgan, Costa, Faggiano et al., 1999; Manor, Eisenbach, Israeli, & Friedlander, 2000; Manor, Eisenbach, Friedlander, & Kark, 2004). For overall and cardiovascular disease (CVD) mortality, increasing years of education confer a protective effect (Kaplan & Keil, 1993; Kawachi, Marshall, & Pearce, 1991; Mackenbach, Cavelaars, Kunst, & Groenhof, 2000; Manor et al., 2004; Phelan, Link, Diez-Roux, Kawachi, & Levin, 2004; Turrell & Mathers, 2001). This effect is primarily related to occupational and economic conditions (Elo & Preston, 1996; Lantz et al., 1998), health behaviors (Lantz et al., 1998; Lynch, Kaplan & Salonen, 1997), and psychosocial circumstances (Lynch et al., 1997; Phelan et al., 2004). Additionally, the effects of education on mortality vary by age (Borrell et al., 1999; Elo & Preston, 1996; Manor, Eisenbach, Friedlander, & Kark (2004), Manor, Eisenbach, Israeli, & Friedlander (2000)), gender (Elo & Preston, 1996; Mackenbach et al., 1999; Manor et al., 2000), race (Elo & Preston, 1996; Howard, Anderson, Russell, Howard, & Burke, 2000), and marital status (Goldman, Korenman, & Weinstein, 1995).
Marriage represents an important dimension of social relationships (Kiecolt-Glaser & Newton, 2001; Rogers, 1996; Berkman & Syme, 1979). It benefits individuals by providing support and social networks that affect morale, self-worth, and life satisfaction. Furthermore, marriage positively influences health behaviors such as diet, exercise, and utilization of medical and social services (Joung, van der Meer & Mackenbach, 1995; Umberson, 1992; Wyke & Ford, 1992).
Significantly less is known about the contribution of a partner's risk characteristics, such as their socioeconomic status (SES), to one's own health (Bosma, Appels, Sturmans, Grabauskas, & Gostautas, 1995; Carmelli, Swan, & Rosenman, 1985; Eaker, Haynes, & Feinleib, 1983; Egeland, Tverdal, Meyer, & Selmer, 2002; Haynes, Eaker, & Feinleib, 1983; McDonough, Williams, House, & Duncan, 1999; Medalie & Goldbourt, 1976; Monden, van Lenthe, de Graaf, & Kraaykamp, 2003; Stolzenberg, 2001; Strogatz, Siscovick, Weiss, & Rennert, 1988; Suarez & Barrett-Connor, 1984). Numerous studies have looked at the wife's influence on her husband's wellbeing (Bosma et al., 1995; Carmelli et al., 1985; Eaker et al., 1983; Egeland et al., 2002; Haynes et al., 1983; Medalie & Goldbourt, 1976; Strogatz et al., 1988; Suarez & Barrett-Connor, 1984), while there is very limited evidence about the husband's influence on his wife's health (Monden et al., 2003; Stolzenberg, 2001; McDonough et al., 1999). Conflicting results have been reported regarding the effect of an educated wife on her husband's health (Bosma et al., 1995; Egeland et al., 2002; Haynes et al., 1983; Strogatz et al., 1988). In a recent study that examined the effects of both partner's education on health, educated husbands and wives contributed in a positive direction to their spouses self-assessed health and smoking behavior but not excessive alcohol consumption (Monden et al., 2003).
Notwithstanding the effects of a spouse's education on morbidity and mortality, scarce data are available regarding the health risks associated with an educational gap between spouses. Researchers hypothesized that the effects of educational status discrepancy, whereby perceived or actual inconsistent rankings between two individuals produce psychological stress and tension, result in adverse health (Hurst & Guldin, 1981; Vernon & Buffler, 1988).
In the present study, mortality differentials for married couples were examined using data from the Israel Longitudinal Mortality Study (ILMS), 1983–1992. Specific goals were (a) to assess the contribution of a spouse's educational attainment on one's overall and CVD mortality and (b) to determine if educational discrepancy between spouses affects mortality.
Section snippets
Data
This study used data from the ILMS, which links census records from a 20% systematic sample of Israeli households in the 1983 census, with national records of death that occurred in the subsequent 9.5 years, i.e., until the end of 1992 (Eisenbach, Manor, Peritz, & Hite, 1997). Excluded were institutionalized persons, those living in kibbutzim (collective agricultural communities), and those for whom origin could not be defined (as described below). Israel has a population register in which a
Results
The study cohort comprised 37,618 married couples. Distribution of the population by education (from lowest to highest) was 46.1%, 34.4%, and 19.5% for men and 52.5%, 32.6% and 14.9% for women. Place of origin was similar for the two spouses in 92% of marriages, with approximately 60% originating from Europe, 18% from Africa and 22% from Asia (data not shown). The mean age at entry for men and women was 58.1±6.3 years and 54.0±6.0 years, respectively. During the 9.5-year study period, 6058
Discussion
This study explores the effects of husbands’ and wives’ education on each other's mortality, independent of their own educational attainment. In this nationwide study of 37,618 married couples aged 45–69 years, mortality differentials were examined using data that linked a 20% sample of the 1983 Israeli census to mortality records through 1992. The results are based on variables ascertained at the census date and did not incorporate changes that took place during the follow-up period (e.g.,
Acknowledgments
Dena H. Jaffe is the recipient of the Golda Meir Trust post-doctoral fellowship. Data was created by Grant 93-00015/2 from the US–Israel Binational Science Foundation.
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