Gebelik döneminde beden imajını etkileyen sosyodemografik, obstetrik ve kas-iskelet sistemi ile ilişkili faktörlerin araştırılması
Year: 2024
Type: article
Study design: Observational Study
Abstract: Purpose: The aim of this study was to investigate sociodemographic, obstetric, and musculoskeletal pain-related factors affecting body image during pregnancy.Methods: The study included 107 pregnant women aged 18–40 years and at least 12 weeks pregnant. Age, height, weight, educational status, and obstetric history (gestational week, number of pregnancies, and births) were recorded using a semi-structured evaluation form. Body image was assessed with the Body Image in Pregnancy Scale. The pregnant women were questioned in detail about the pain they experienced in various body parts, and the number of painful areas was recorded.Results: The mean age of participants was 28.53±4.98 years. Of the participants, 47.70% were university graduates, and 41.10% were high school graduates. The median gestational week was 25 (range: 14–39 weeks). Body image scale total score was not associated with gestational week, number of pregnancies, or births (r=-0,062, p=0,52; r=-0,016, p=0,87; r=-0,109 p=0,26 respectively). However, it was positively correlated with educational status (r=0.220, p=0.02), number of painful areas (r=0.451, p=0.00), and Body Mass Index (BMI) during pregnancy (r=0.191, p=0.04). The regression model explained 25.60% of the variance in body image, with educational level, number of painful areas, and BMI emerging as significant predictors (R=0,506; R2:0,256, Adj. R2=0,235, F=11,385; p<0,01).Conclusion: These findings indicate that higher education levels, more musculoskeletal pain, and higher BMI during pregnancy are associated with a more negative body image.
Source: DergiPark (Istanbul University)
Authors: Özkutlu, Özge, Özdemir, Özhan, Üzelpasacı, Esra, Demir, Esma, Dülger, Ayşegül, Türkçapar, Ayşe Figen, Ün Yıldırım, Necmiye
Language: English
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W4414895128
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