Correction to ‘Sex-specific, counteracting responses to inbreeding in a bird’

Pizzari, Tommaso; Løvlie, Hanne; Cornwallis, Charles K.

doi:10.1098/rspb.2015.0522

Cited by 1 publication

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“…In our study communities, economic change is creating new opportunities for education, social mobility, wealth and status creation [61]. Social networks are becoming more [36], which can rapidly spread information about the costs and benefits to fertility limitation.…”

Section: Discussionmentioning

confidence: 99%

Social network- and community-level influences on contraceptive use: evidence from rural Poland

Colleran

Mace

2015

Proc. R. Soc. B.

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The diffusion of ‘modern’ contraceptives—as a proxy for the spread of low-fertility norms—has long interested researchers wishing to understand global fertility decline. A fundamental question is how local cultural norms and other people's behaviour influence the probability of contraceptive use, independent of women's socioeconomic and life-history characteristics. However, few studies have combined data at individual, social network and community levels to simultaneously capture multiple levels of influence. Fewer still have tested if the same predictors matter for different contraceptive types. Here, we use new data from 22 high-fertility communities in Poland to compare predictors of the use of (i) any contraceptives—a proxy for the decision to control fertility—with those of (ii) ‘artificial’ contraceptives—a subset of more culturally taboo methods. We find that the contraceptive behaviour of friends and family is more influential than are women's own characteristics and that community level characteristics additionally influence contraceptive use. Highly educated neighbours accelerate women's contraceptive use overall, but not their artificial method use. Highly religious neighbours slow women's artificial method use, but not their contraceptive use overall. Our results highlight different dimensions of sociocultural influence on contraceptive diffusion and suggest that these may be more influential than are individual characteristics. A comparative multilevel framework is needed to understand these dynamics.

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Section: Discussionmentioning

confidence: 99%