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Cross-sectional analysis evaluates knowledge and skills influencing preconception behaviors in couples, suggesting effective interventions.
Purpose To evaluate the pathways through which preconception health knowledge relates to preconception health behaviors via behavioral skills among Chinese reproductive-aged individuals and couples using the Information–Motivation–Behavioral Skills model, and to assess dyadic partner effects. Design Cross-sectional study with individual-level mediation and dyadic path models. Setting Population-based survey in Zhejiang Province, China (July–September 2023). Sample 1991 individuals (1086 women; 905 men), including 458 heterosexual couples. Measures Preconception health behavior score (0-100) summing >20 guideline-recommended behaviors; preconception health knowledge; behavioral skills; sociodemographics. Analysis Individual-level mediation estimated with Sobel–Goodman tests; dyadic effects estimated using Actor–Partner Interdependence Model extended to Mediation (APIMeM) via path analysis; two-sided tests with P < 0.05. Results Mean behavior scores: women 71.27 ± 9.03; men 71.12 ± 9.96. Women: total effect of knowledge on behaviors 0.896 ( P = 0.001); direct 0.785 ( P = 0.003); indirect via skills 0.111 ( P = 0.033). Men: total 1.731 ( P < 0.001); direct 1.313 ( P < 0.001); indirect 0.418 ( P < 0.001). Dyadic analyses showed partner skill-to-behavior effects: women’s skills → men’s behaviors β = 0.127 ( P = 0.003); men’s skills → women’s behaviors β = 0.153 ( P = 0.001). Conclusion Preconception knowledge and behavioral skills are linked to healthier preconception behaviors, with meaningful partner interdependence. Couple-centered, skill-building interventions may improve preconception health and pregnancy outcomes. Cross-sectional design limits causal inference; self-reported behaviors may introduce bias; findings from one province may limit generalizability.
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Sun et al. (2026) studied this question.
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