title: >>For better or worse, till death us do part<<--spousal age gap and differential longevity: evidence from historical demography.
abstract: Based on a set of 2,371 family related entries dating from 1688 to 1921, the current study tried to verify longevity differentials due to interspousal age difference. For the purpose of the analysis, age-heterogamy was operationalized in terms of sample-specific marital age gap (3.2 years) with a standard deviation of 6.1 years. Based on this, five marriage groups were isolated. Female mean age at marriage experienced a slight increase over time, while the male mean at marriage decreased. This led to an appreciable narrowing of the spousal age gap. Age-homogamous unions were most prevalent in the lower socio-economic class (day-laborers, industrial workers) (p<0.01). In both husband-older and wife-older unions, the interspousal gap increased with marriage order. In accord with previous studies, mean age at death varied significantly by marriage group. Females, who married younger men, died later than females, who married older men. In contrast, male longevity was most depressed within age-similar marriages, while those who married older or younger wives displayed higher life spans. Overall, marriage to a younger spouse seemed to increase longevity prospects (p<0.05). These differentials were not exclusively a function of the marital age gap, but were affected by diverse confounders such as reproductive output and socio-economic status.
authors.affiliation: Institute of Anthropology, Johannes Gutenberg University, Mainz, Germany. kemkes@mail.uni-mainz.de
authors.forename: Ariane
authors.initials: A
authors.lastname: Kemkes-Grottenthaler
mesh_terms: D000328:Adult; D000367:Age Factors; D000368:Aged; D005260:Female; D005789:Genealogy and Heraldry; D005858:Germany; D049671:History, 18th Century; D049672:History, 19th Century; D049673:History, 20th Century; D006801:Humans; D008136:Longevity; D008297:Male; D008393:Marriage / Q000266:history; D008875:Middle Aged; D012959:Socioeconomic Factors; D016019:Survival Analysis