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Maternal anthropometric determinants as risk markers of suicidality and severity of illness in women with postnatal depression

CONTEXT: Studies have shown nutrition to play a role in etiology of postnatal depression, but few risk markers have been developed for the same. Anthropometric determinants have not been sufficiently researched in relation to suicidality and severity of illness in women with postnatal depression. AI...

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Autores principales: Nayak, AS, Nachane, HB
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6970329/
https://www.ncbi.nlm.nih.gov/pubmed/31898598
http://dx.doi.org/10.4103/jpgm.JPGM_541_18
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author Nayak, AS
Nachane, HB
author_facet Nayak, AS
Nachane, HB
author_sort Nayak, AS
collection PubMed
description CONTEXT: Studies have shown nutrition to play a role in etiology of postnatal depression, but few risk markers have been developed for the same. Anthropometric determinants have not been sufficiently researched in relation to suicidality and severity of illness in women with postnatal depression. AIM: The present study assesses the efficacy of anthropometric determinants as risk markers of severity of illness and suicidal ideations in postnatal depression. METHODS AND MATERIALS: 100 women were screened at 6 weeks postnatal for the presence of postnatal depression and suicidal ideation using the Edinburgh Postnatal Depression Scale. Anthropometric determinants assessed were height, weight, weight gain in pregnancy, weight at first antenatal visit, body mass index and waist-to-hip ratio. Univariate and multivariate analysis were done for risk estimation using Spearman's rank correlation and multiple regression analysis, respectively. RESULTS: In total, 39% of the women showed the presence of postnatal depression. Out of these 39 women, 31% had suicidal ideations. The waist-to-hip ratio was the most significant factor in all the models, having a negative correlation with suicidality and severity of depression (P < 0.05). The multiple regression model using anthropometric determinants could significantly assess risk of both suicidality (P = 0.03, adjusted R(2) = 0.08) and postnatal depression (P = 0.04, adjusted R(2) = 0.07). CONCLUSIONS: The study concludes that anthropometric determinants can be used effectively as risk markers for suicidality and severity of illness in women with postnatal depression. The most significant risk factor was found to be waist-to-hip ratio in both the models.
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spelling pubmed-69703292020-01-29 Maternal anthropometric determinants as risk markers of suicidality and severity of illness in women with postnatal depression Nayak, AS Nachane, HB J Postgrad Med Original Article CONTEXT: Studies have shown nutrition to play a role in etiology of postnatal depression, but few risk markers have been developed for the same. Anthropometric determinants have not been sufficiently researched in relation to suicidality and severity of illness in women with postnatal depression. AIM: The present study assesses the efficacy of anthropometric determinants as risk markers of severity of illness and suicidal ideations in postnatal depression. METHODS AND MATERIALS: 100 women were screened at 6 weeks postnatal for the presence of postnatal depression and suicidal ideation using the Edinburgh Postnatal Depression Scale. Anthropometric determinants assessed were height, weight, weight gain in pregnancy, weight at first antenatal visit, body mass index and waist-to-hip ratio. Univariate and multivariate analysis were done for risk estimation using Spearman's rank correlation and multiple regression analysis, respectively. RESULTS: In total, 39% of the women showed the presence of postnatal depression. Out of these 39 women, 31% had suicidal ideations. The waist-to-hip ratio was the most significant factor in all the models, having a negative correlation with suicidality and severity of depression (P < 0.05). The multiple regression model using anthropometric determinants could significantly assess risk of both suicidality (P = 0.03, adjusted R(2) = 0.08) and postnatal depression (P = 0.04, adjusted R(2) = 0.07). CONCLUSIONS: The study concludes that anthropometric determinants can be used effectively as risk markers for suicidality and severity of illness in women with postnatal depression. The most significant risk factor was found to be waist-to-hip ratio in both the models. Wolters Kluwer - Medknow 2020 2020-01-13 /pmc/articles/PMC6970329/ /pubmed/31898598 http://dx.doi.org/10.4103/jpgm.JPGM_541_18 Text en Copyright: © 2020 Journal of Postgraduate Medicine http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Nayak, AS
Nachane, HB
Maternal anthropometric determinants as risk markers of suicidality and severity of illness in women with postnatal depression
title Maternal anthropometric determinants as risk markers of suicidality and severity of illness in women with postnatal depression
title_full Maternal anthropometric determinants as risk markers of suicidality and severity of illness in women with postnatal depression
title_fullStr Maternal anthropometric determinants as risk markers of suicidality and severity of illness in women with postnatal depression
title_full_unstemmed Maternal anthropometric determinants as risk markers of suicidality and severity of illness in women with postnatal depression
title_short Maternal anthropometric determinants as risk markers of suicidality and severity of illness in women with postnatal depression
title_sort maternal anthropometric determinants as risk markers of suicidality and severity of illness in women with postnatal depression
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6970329/
https://www.ncbi.nlm.nih.gov/pubmed/31898598
http://dx.doi.org/10.4103/jpgm.JPGM_541_18
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