Displaying all 2 publications

Abstract:
Sort:
  1. Choe JY, Yusof KMKK, Rohani S
    Data Brief, 2023 Aug;49:109397.
    PMID: 37600124 DOI: 10.1016/j.dib.2023.109397
    The excessive growth of aquatic macrophytes in a water system has a negative effect on the lake ecosystem. This article presents data on water parameters and sedimentation rates from sites that include different aquatic macrophytes at Tasik Berombak, a freshwater lake on Peninsular Malaysia's eastern coast. Areas with Hanguana malayana and Pandanus helicopus were selected for sampling, while an area without aquatic macrophytes served as the control. At the lake's surface and bottom, temperature, conductivity, total dissolved solids, dissolved oxygen (D.O.), and pH were measured in situ. The surface water was sampled for chemical analysis in the laboratory (chlorophyll-a, total suspended solids, total carbon, total organic carbon, inorganic carbon, total dissolved nitrogen, total dissolved phosphorus). Settling sediment was collected using cylinder traps deployed under the macrophytes at the bottom of the lake. The presented data includes the water parameters according to plant-base area, depth differentiation (top versus bottom), and variable correlation analysis. Understanding the impact of excessive aquatic plants on the lake ecosystem in a tropical environment requires information on water parameters and sedimentation rates from the aquatic plants. Therefore, these data can be used to monitor the impact of land use change on the aquatic plant community and, ultimately, the lake ecosystem.
  2. Abdollahi F, Rohani S, Sazlina GS, Zarghami M, Azhar MZ, Lye MS, et al.
    Iran J Psychiatry Behav Sci, 2014;8(2):11-21.
    PMID: 25053953
    OBJECTIVE:
    There are various attempts to confirm variables that could predict postpartum depression in advance. This study determined antenatal risk factors for postpartum depression in women at risk of developing this disorder.

    METHODS:
    A prospective cohort study was conducted with 2279 eligible women who attended at Mazandaran province' primary health centers from 32-42 weeks of pregnancy to eighth postpartum weeks. The women were screened for symptoms of depression using the Iranian version of Edinburgh Postnatal Depression Scale. An Edinburgh Postnatal Depression Scale score of > 12 indicated possible postpartum depression. Univariate and multiple logistic regression models were used for data analysis.

    RESULTS:
    A total of 2083women during 32-42 weeks of gestation participated in this study and were followed up to 8-week postpartum. Four hundred and three (19.4%) mothers yielded scores above the threshold of 12. Depression and general health state in pregnancy based on Edinburgh Postnatal Depression Scale (OR = 1.35, CI = 1.3-1.4) and General Health Questionnaire-28 (OR = 1.03, CI = 1.01-1.04), respectively were significant independent antenatal risk factors of depression symptoms at 8-week postpartum. Mothers who lived in nuclear families (OR = 1.38, CI = 1.04-1.84), whose husbands had lower educational status (OR = 0.95, CI = 0.91-0.99), and with delayed prenatal care (OR = 1.01, CI = 1.001-1.03) were more susceptible to postpartum depression.

    CONCLUSION:
    A comprehensive antenatal assessment focused on psychiatric problems, environmental and obstetric factors would benefit pregnant women in the prevention of postpartum depression.

    KEYWORDS:
    Cohort Study; Postpartum Depression; Prediction; Risk Factors
Related Terms
Filters
Contact Us

Please provide feedback to Administrator ([email protected])

External Links