RESUMO
The aims were to investigate determinants of the quality of life (QoL) of pregnant women. Total of 302 healthy women 18 to 28 weeks of gestation participated in prospective study. WHOQOL-bref, Multidimensional Health Locus of Control scales, Edinburgh Postnatal Depression Scale, and the perceived stress appraisals were administered. Various patterns of predictors for four domains of QoL were identified, for psychological (42% variance explained), social relationship (29%), environmental (29%) and physical health (25%). Depression and hope, together with the extent to which one's health is influenced by powerful other or chance should be targeted in health promotion strategies during pregnancy.
Assuntos
Equipamentos para Lactente , Qualidade de Vida , Coorte de Nascimento , Estudos de Coortes , Depressão/epidemiologia , Feminino , Humanos , Controle Interno-Externo , Ilhas , Gravidez , Gestantes , Estudos Prospectivos , Inquéritos e QuestionáriosRESUMO
Maternal nutrition and lifestyle in pregnancy are important modifiable factors for both maternal and offspring's health. Although the Mediterranean diet has beneficial effects on health, recent studies have shown low adherence in Europe. This study aimed to assess the Mediterranean diet adherence in 266 pregnant women from Dalmatia, Croatia and to investigate their lifestyle habits and regional differences. Adherence to the Mediterranean diet was assessed through two Mediterranean diet scores. Differences in maternal characteristics (diet, education, income, parity, smoking, pre-pregnancy body mass index (BMI), physical activity, contraception) with regards to location and dietary habits were analyzed using the non-parametric Mann-Whitney U test. The machine learning approach was used to reveal other potential non-linear relationships. The results showed that adherence to the Mediterranean diet was low to moderate among the pregnant women in this study, with no significant mainland-island differences. The highest adherence was observed among wealthier women with generally healthier lifestyle choices. The most significant mainland-island differences were observed for lifestyle and socioeconomic factors (income, education, physical activity). The machine learning approach confirmed the findings of the conventional statistical method. We can conclude that adverse socioeconomic and lifestyle conditions were more pronounced in the island population, which, together with the observed non-Mediterranean dietary pattern, calls for more effective intervention strategies.