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Enregistrement W1964496731 · doi:10.5539/gjhs.v7n3p140

A Study of Marital Satisfaction Among Non-Depressed and Depressed Mothers After Childbirth in Jahrom, Iran, 2014

2014· article· en· W1964496731 sur OpenAlexvenueno aff
Marzieh Kargar Jahromi, Azam Zare, Mahboobeh Taghizadeganzadeh, Afifeh Rahmanian Koshkaki

Notice bibliographique

RevueGlobal Journal of Health Science · 2014
Typearticle
Langueen
DomaineMedicine
ThématiqueMaternal Mental Health During Pregnancy and Postpartum
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésChildbirthDepression (economics)MedicineMarital statusPsychologyPostpartum depressionPsychiatryClinical psychologyPregnancyEnvironmental health

Résumé

récupéré en direct d'OpenAlex

INTRODUCTION: Birth is one of the most wonderful events in nature and pregnancy and delivery are major developments for most married women. Similar to the pregnancy period, the period of time following delivery is accompanied by certain mental and physical changes in women. During this time, mothers experience a full range of mental disorders, varying from minor to psychotic. The objective of this study was to examine marital satisfaction among non-depressed and depressed mothers who visited primary health centers in Jahrom after childbirth in 2014. MATERIALS & METHODS: This is a descriptive cross-sectional study. The study population consisted of 80 mothers, who were in the 6 to 12 weeks of delivery and had visited primary health centers in Jahrom from April to July, 2014.To select the participants, the researcher looked thorough the files at each center and chose the mothers who were qualified for the study based on convenience sampling. The criteria for participation were: being aged from 20 to 40; being in the 6-12 weeks since delivery; having a healthy newborn; willingness to participate in the study. The participants were divided into the two groups of mothers suffering from postpartum depression (40 women) and mothers not affected by postpartum depression (40 women) on basis of questionnaire. The study follows the ethics in a scientific study. The researcher personally visited the primary health centers and explained the objectives of the study to the participants. Subsequently, the participants were asked to complete a demographic questionnaire, Enrich Marital Satisfaction Scale, and Edinburgh Postpartum Depression Scale. The participants were allowed one hour to complete the questionnaires. RESULTS: The results showed that the average age of depressed and non-depressed women was respectively 28.1 ± 5 and 29.4 ± 5.5. Regarding the sex of the newborns, 53% of the depressed women had a son and 46.7% had a daughter. In the non-depressed group, 43.3% of the mothers had a son and 56.7% had a daughter. 56.7% of the depressed mothers were first-time mothers; however, 43.3% of the non-depressed mothers had experienced childbirth for the first time. Most of the women in both groups had a high-school diploma-53% of the depressed mothers and 51% of the non-depressed. 66.7% of the depressed mothers had had natural childbirths; 60% of the non-depressed mothers had had Cesareans. There was not a statistically meaningful difference between the two groups in terms of the demographic variables. The average depression score of the depressed group was 13.7 with a standard deviation of 3.2; the average depression score of the non-depressed group was 5.8 with a standard deviation of 2. There was a statistically significant difference between the two groups in terms of marital satisfaction. CONCLUSION: Postpartum depression is a major and common health problem, affects many women after childbirth and inflicts not only direct costs on the health care system, but causes extensive indirect losses due to mothers' inability to function. Though this condition is prevalent among new mothers, not many researchers have addressed it in small towns and investigated its relationship with marital satisfaction. In addition, most women suffering from postpartum depression know very little about the disorder. Accordingly, it is vital to educate women and conduct more studies on the issue.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,010
Score d'incertitude au seuil0,020

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,012
Tête enseignante GPT0,307
Écart entre enseignants0,295 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations15
Publié2014
Routes d'admission1
Résumé présentoui

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