Dataset Information

Avoidance Bias to Angry Faces Predicts the Development of Depressive Symptoms among Adolescent Girls.

ABSTRACT: Interpersonal-motivational models posit that heightened avoidance of aversive social stimuli and diminished approach of appetitive social stimuli increases social withdrawal and reduces positive social interactions, thereby increasing risk for future social anxiety and depression. The current study examined if approach-avoidance biases toward angry and happy faces, measured during the Approach Avoidance Task (AAT), would be associated with the development of adolescent depressive and social anxiety symptoms. At baseline, participants included 129 never-depressed adolescent girls (ages 11-13), two-thirds of whom were at high-risk for internalizing problems due to shy/fearful temperament. Girls reported their depressive and social anxiety symptoms every 6 months for 24 months and completed the AAT at baseline and 24-mo follow-up. Heightened avoidance bias toward angry faces at baseline predicted increases in depressive symptoms across the follow-up, even after accounting for temperament and pubertal status. In contrast, girls with greater depression and social anxiety symptoms at 24-mo follow-up exhibited less avoidance bias for angry faces at the same time point. Findings suggest that avoidance behaviors (i.e., avoiding people or settings associated with angry faces, which are often perceived as hostile, critical, or rejecting) may be a risk factor for depression, above and beyond risk imparted by temperament or advances in puberty. However, with increasing internalizing symptoms, it may become more difficult for adolescents to maintain avoidance for aversive social stimuli, and without the introduction of more adaptive emotion regulation strategies, these biases may continue to increase and maintain risk for internalizing problems.

SUBMITTER: Woody ML

PROVIDER: S-EPMC9308032 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:BackgroundIn sub-Saharan Africa (SSA), adolescent girls and young women are three times more likely than boys to have depressive disorders. Understanding adolescents' unique and common vulnerabilities and protective factors is essential for the development of appropriate interventions and programming focused on child and adolescent mental health. This paper examines the prevalence and predictors of depressive symptoms among high school adolescent girls in southern Uganda.MethodsBaseline data from a longitudinal cluster randomized study involving 1260 adolescent girls (14-17 years), recruited from 47 secondary schools were utilized. Depressive symptoms were estimated using the 21-item Beck's Depression Inventory. Hierarchical linear regression modelling was utilized to estimate key predictors of depressive symptoms among adolescent girls.ResultsOf the total sample, 16.35% (n = 206) reported severe depressive symptoms and almost one in every three adolescent girls interviewed (29.68%, n = 374) reported moderate symptoms. These symptoms were more prevalent among older adolescents (16 years and above). In addition, family relationships, social support, as well as measures of psychological wellbeing (self-concept and self-esteem) were all associated with lower levels of depressive symptoms. Hopelessness was associated with higher levels of depressive symptoms among adolescent girls.ConclusionFindings from this study indicate a high prevalence of depressive symptoms, especially among older adolescent girls. In addition, family support factors and adolescents' psychological wellbeing were associated with low levels of depressive symptoms -pointing to the need to strengthen family functioning and adolescent's psychological wellbeing to mitigate risks. Taken together, findings support increasing calls for early screening and detection of depressive symptoms to facilitate timely referral to care and treatment. Findings may also inform the development and incorporation of gender-specific mental health components in programming targeting adolescent girls, in low-resource communities in SSA.Trial registrationThis trial was prospectively registered with ClinicalTrials.gov (registration number: NCT03307226 ) on 11 October 2017.

Project description:BackgroundViolence against women has been one of the most prominent issue and a major public health concern. It is a principle violation of basic human rights and has both physical and mental effect on the victim. This study focuses on married and unmarried girls aged 15 to 19 years, belonging to Uttar Pradesh and Bihar, India. This study attempts to examine depression level among married and unmarried girls who have faced violence against them. With the unprecedented growth in social networking, online digital platform and its accessibility, the study also brings out the pertinent aspect of internet based violence and its psychological outcome on adolescent girls. Hence, the study can be seen as an important and needed value addition to the existing pool of knowledge on the subject.MethodsThe study uses Understanding the lives of adolescents and young adults (UDAYA) project data for Uttar Pradesh and Bihar. Depressive symptoms among adolescent girl is the outcome variable of the study. Descriptive statistic and bivariate analysis has been used to get to preliminary results. Chi-squared test is used to test the significant of variables. Further, multi-variate analysis (logistic regression) was used.ResultsAlmost 29, 23 and 26 percent of married adolescent girls had faced emotional, physical and sexual violence respectively. It was found that about five per cent of unmarried and eight per cent of married girls had high depressive symptoms. It was found that unmarried adolescent girls who had witnessed their father beating mother were 71 percent more likely to suffer from higher depressive symptoms [OR: 1.71, 1.09-2.69]. Adolescents who faced perpetrated bullying had 90 per cent [OR: 1.90, 1.32-2.72] and 86 per cent [OR: 1.86, 0.98-3.52] higher likelihood to suffer from higher depressive symptoms.ConclusionThe study goes beyond intimate partner violence and includes various covariates to explain the association between violence and depressive symptoms among married and unmarried adolescents. Hence, more inclusive policies are needed to address the issue of violence against women as the spectrum of the violence is expanding with time.

Dataset Information

Avoidance Bias to Angry Faces Predicts the Development of Depressive Symptoms among Adolescent Girls.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets