Search

Background: Depression is a major public health concern among Indian adolescents. Pre- and post-natal depression can often alter fetal development and have negative consequences on the physical and mental health of the mother. This paper aims to draw attention to the prevalence of depression and its correlates among currently married, ever-pregnant adolescents from two Indian States, i.e. Uttar Pradesh and Bihar. Methods: This study utilizes data from a subsample (n = 3116) of the prospective cohort study Understanding the Lives of Adolescents and Young Adults (UDAYA) among 10 to 19 year-old adolescents. Bivariate analysis was performed to assess the prevalence of depression by sociodemographic and behavioral characteristics. To further access the predictors associated with depression a logistic regression model was applied. Results: Around one-tenth (9%) of pregnant adolescents had depression. Regression analysis indicated that substance use, religion, autonomy, considering attempting suicide, premarital relationship, violence, dowry, adverse pregnancy outcome, menstrual problem, and parental pressure for the child immediately after marriage were significantly associated with depression. Conclusions: This study confirms the pre-existing annotation that teen pregnancy is linked with depression. Findings indicate that Adolescent mothers experiencing violence, and a history of adverse pregnancy outcomes are at increased risk of developing depression. These study findings call for an urgent need to address depression among adolescent mothers. [ABSTRACT FROM AUTHOR]

Objective: This study sought to assess the prevalence of adverse events following immunization (AEFI) and factors associated with AEFI of the ChAdOx1 nCoV-19 vaccine (Covishield) among healthcare workers (HCW) of a medicine-teaching institution of North India. Materials and Methods: A cross-sectional study was conducted in the months of June and July 2021 among HCW (N = 203) of 18 years and above, vaccinated with at least the first dose of Covishield. A semi-structured, prevalidated, and pretested questionnaire was used to collect information through an interview schedule. The questionnaire was divided into five sections: the sociodemographic profile, behavioral characteristics, past medical history, COVID-19 awareness, and past infection and COVID-19 vaccine related information. Chi-squared test was applied to check the association of different factors with AEFI. Results: In our study, 73.89% of participants suffered from at least one AEFI after the first dose of the vaccine, while 48.66% had at least one AEFI after the second dose. Females reported significantly high AEFI for both doses (P = 0.001, 0.000). We found a significant association between the occurrence of AEFI and occupation (first dose P = 0.015), substance abuse (first dose P = 0.002), diet (first dose P = 0.016), and allergy (first dose P = 0.027). Other significant findings were headaches among HCW ≥40 years of age (dose P = 0.034) and systemic AEFI in participants with comorbidity (first dose P = 0.020). Conclusion: More AEFI were reported after the first dose as compared to the second dose. AEFI were more among females after both the doses. Occupation, substance use, diet, and history of allergy were significantly associated with AEFI. [ABSTRACT FROM AUTHOR]