Partner support for women's antidepressant treatment and its association with depressive symptoms in pregnant women, mothers, and women planning pregnancy.

PURPOSE: To examine the association between partner support for women's antidepressant treatment and depressive symptoms in pregnant women, those planning pregnancy, and mothers who ever used antidepressants. METHODS: We included 334 women (n=44 planners, n=182 pregnant, n=108 mothers) ever treated with antidepressants within the HEALTHx2 study, a web-based cross-sectional study conducted across Norway in June 2020 to June 2021. The Edinburgh Postnatal Depression Scale and two questions of the Patient Health Questionnaire measured depressive symptoms, by degree of severity and for depressed mood, anxiety, and anhedonia sub-dimensions. Partner support was measured using one item from the Antidepressant Compliance Questionnaire. Association was estimated via unadjusted and adjusted linear and logistic regression models. RESULTS: Being unsupported by the partner was associated with increased odds of reporting moderate-to-very-severe depressive symptoms in mothers (adjusted odds ratio (aOR), 3.57; 95% confidence interval (CI), 1.04-12.19) and pregnant women (aOR, 3.26; 95% CI, 0.95-11.14), relative to being supported. Pregnant women (adjusted mean difference (ß), 0.76; 95% CI, 0.14-1.38) and mothers (ß, 0.93; 95% CI, 0.23-1.64) with no support for their antidepressant treatment presented greater symptoms of anhedonia; for women planning pregnancy, this association emerged in relation to anxiety symptoms (ß among non-users of antidepressant, 2.58; 95% CI, 1.04-4.13). CONCLUSIONS: Partner support for women's antidepressant treatment may play a key role in depressive symptoms severity and the subtypes of anhedonia and anxiety, among women planning pregnancy, pregnant women, and mothers. This highlights the importance of partner inclusion in the complex decision-making process for antidepressant treatment around the time of pregnancy.

Monitoring and predicting spatio-temporal dynamics of river bankline movements: a case study for land use risk management in the lower Ganga River, India.

Changing the river course in the alluvial plain region is a common phenomenon that may have disastrous consequences. The risk of river bank erosion has increased dramatically during the last few decades. As a result, assessing the river bankline alteration is necessary. The study aims to determine the changes in the bankline in the lower Ganga River. This research presents a novel approach by using the digital shoreline analysis system (DSAS) in conjunction with geospatial data to monitor and predict long-term changes in river banks from 1965 to 2017, providing a comprehensive temporal analysis that is unprecedented in this study area. The study analyzes the bankline change along the river Ganga using DSAS using during the elapsed period. An erosion and accretion zonation was conducted based on the rate of bankline change of the river Ganga in the study area. The rate of bankline shifting was quantified using the endpoint rate (EPR) and linear regression rate (LRR) statistics computed using the DSAS model. The east bank of the Ganga in the study area experienced an average erosion of - 41.17 m/year according to the LRR model. Whereas, the west bank eroded an average of - 2.32 m/year between 1965 and 2017. 90.54% of the transect lines recorded erosion at the east bank and 53.69% of the transect lines at the west bank recorded erosion computed with LRR. For the assessment of the impact of river bankline change on the LULC of the study area, the future river banklines for 2027 and 2037 were forecasted. The result shows that by 2027 and 2037 about 133.24 and 147 km2 of agricultural land and 7.19 and 11.47 km2 of the built-up area may be affected by river bank erosion respectively. By extending the applications of DSAS and geospatial analytics to encompass predictive and impact assessment capabilities, this study significantly enriches the literature on the management of riverbank erosion and associated land use risks. This research provides important insights that improve river management and planning and enable the formulation of robust strategies to mitigate erosion risks on river banks.

Wetland health assessment using DPSI framework: a case study in Kolkata Metropolitan Area.

Wetlands are among the most valuable components of the ecosystem, playing an important role in preventing floods, maintaining the hydrological cycle, protecting against natural hazards, and controlling local weather conditions and ecological restoration. The Kolkata Metropolitan Area (KMA) is considered one of the most ecologically valuable regions in terms of wetland ecosystem, but due to haphazard development and human activities, the wetlands of the city are under constant threat of degradation. Therefore, this study aims to assess the factors responsible for wetland health and their dynamics using Driving Force-Pressure-State-Impact (DPSI) framework. To assess wetland health during 2011-2020, seventeen indicators and four sub-indicators were selected to calculate weights using the analytic hierarchy process (AHP). The results showed that most of the municipalities in the healthy category were in the pressure (P) section in 2011, while fluctuations were observed in the impact (I) section in several wards during 2011-20. The condition section (S) showed the overall change in the water, vegetation, and built-up categories from 2011 to 2020, so the most dominant category was "healthy," followed by "unhealthy" and "poor." The highly significant factors worsening wetland health were population density (B1), road density (B3), per capita wastewater generation (B5), per capita solid waste generation (B7), biological oxygen demand (D1a), dissolved oxygen (D1b), pH (D1c), and total coliform (D1d). The results of the study can help develop sustainable conservation and management of the wetland ecosystem in the KMA urban area and at the global level with similar geographical conditions.