İklim değişikliğine bağlı anksiyetenin prenatal bağlanmaya etkisi: Tanımlayıcı bir çalışma

Year 2025, Volume: 6 Issue: 2, 138 - 143, 31.08.2025

Özlem Naldöken

https://doi.org/10.61534/anatoljhr.1678420

Abstract

Amaç: Çalışmamız, iklim değişikliğine bağlı anksiyetenin prenatal bağlanmaya etkisinin belirlenmesi amacıyla gerçekleştirilmiştir.
Yöntem: Araştırmanın örneklemini, 15.10.2024-01.03.2025 tarihleri arasında bir devlet hastanesinin kadın hastalıkları ve doğum polikliniklerine muayene için başvuran 287 gebe kadın oluşturmuştur. Veriler; Kişisel Bilgi Formu, İklim Değişikliği Anksiyetesi Ölçeği (İDAÖ) ve Prenatal Bağlanma Envanteri (PBE) ile toplanmıştır.
Bulgular: Kadınların PBE toplam puan ortalaması 37.65±9.76’dır. İDAÖ toplam ve alt boyut puan ortalamaları değerlendirildiğinde İDAÖ toplam puan ortalaması 19.64±7.38; Bilinçsel Bozulma alt boyut puan ortalaması 12.19±4.32; İşlevsel Bozulma alt boyut puan ortalaması 7.44±3.36’dır. PBE toplam puanı ile bazı özelliklerinin ve iklim değişikliği değişkenleri karşılaştırmasında yaş, eğitim durumu, gebelik ve yaşayan çocuk sayısı, gebeliğin planlı olma durumu, iklim değişikliğinin kadın sağlığı açısından önemli olma durumu ile PBE toplam puanı arasında anlamlı farklılık olduğu belirlenmiştir (p<0.05). Gebelerin sosyodemografik özellikleri ile İDAÖ toplam ve alt boyut puan ortalamalarının karşılaştırmasında 19-27 yaş aralığında ve üniversite mezunu gebelerin İDAÖ toplam ve alt boyut puan ortalamalarının daha yüksek olduğu belirlenmiştir.
Sonuçlar: Prenatal bağlanma arttıkça iklim değişikliği anksiyetesinin azaldığı; yaş, yaşayan çocuk sayısı, iklim değişikliğinin kadın sağlığı açısından önemi ve İDAÖ toplam değişkenlerinin prenatal bağlanma üzerinde anlamlı ilişkisi olduğu saptanmıştır.

Keywords

anksiyete , ebelik , gebelik , iklim değişikliği , prenatal bakım

The effect of climate change-related anxiety on prenatal attachment: A descriptive study

Abstract

Aim: Our study was conducted to determine the effect of climate change-related anxiety on prenatal attachment.
Method: The sample of the study consisted of 287 pregnant women who visited the gynecology and obstetrics outpatient clinics of a state hospital between October 15, 2024, and March 1, 2025, for examination participated in the study. Data were collected with Personal Questionnaire, Climate Change Anxiety Scale (CCAS) and Prenatal Attachment Inventory (PAI).
Results: The mean PAI total score of the pregnant women was 37.65±9.76. When the total and sub-dimension mean scores of the CCAS were evaluated, the mean score was 19.64±7.38; the mean score of the Cognitive Impairment sub-dimension was 12.19±4.32; and the mean score of the Functional Impairment sub-dimension was 7.44±3.36. It was determined that there was a significant difference between the PAI total score and age, educational status, planned pregnancy, pregnancy and number of living children, and the importance of climate change in terms of women's health (p<0.05). When the mean total and sub-dimension scores of the CCAS and sociodemographic characteristics were compared, it was found that the mean total and sub-dimension scores of the CCAS were higher in pregnant women aged between 19-27 years and university graduates.
Conclusion: It was found that climate change anxiety decreased as prenatal bonding increases in pregnant women attachment increased attachment increased, and age, number of living children, the importance of climate change for women's health, and total variables of the CCAS had a significant relationship with prenatal attachment.

Keywords

anxiety , climate change , midwifery , pregnancy , prenatal care

Ethical Statement

Ethics committee approval was obtained from Sivas Cumhuriyet University Non-Interventional Clinical Research Ethics Committee (Board Decision No: 2024/07-24, Date: 18.07.2024).

Supporting Institution

This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

Thanks

I would like to thank the pregnant women who agreed to participate in the study and Assistant Professor Demet Çakır for her support during the statistical analysis process.

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