Introduction: Pregnancy is associated with psychological, physiological and social shifts, and can be a vulnerable time in a woman's life. Despite a growing understanding of the importance of antenatal mental health, there is a paucity of research on psychosocial factors relevant to this phase, especially in developing countries. The aim of the present study was to investigate the associations of expecting mothers' sense of coherence, perceived social support, and maternal-fetal attachment with mental health outcomes.Method: Participants (N = 122) were nulliparous expectant mothers residing in urban India. Cross-sectional data was collected using an online questionnaire.Results: Participant reports of perceived social support and sense of coherence were negatively correlated with symptoms of antenatal depression, while reports of maternal-fetal attachment, sense of coherence, and social support were positively associated with antenatal well-being. In a multilinear regression model, perceived social support and sense of coherence uniquely contributed to symptoms of antenatal depression, while maternal-fetal attachment and sense of coherence uniquely contributed to antenatal well-being.Discussion: The findings of this study highlight the role of perceived social support, sense of coherence and maternal-fetal attachment in contributing to expecting mothers' mental health and well-being in urban India. These findings have implications for clinical practice and research, intending to the subjective experiences of pregnant women to improve antenatal mental health. Future research investigating these psychosocial factors using longitudinal designs is warranted and would help clinicians and practitioners identify women at risk for perinatal mental health concerns.
Zebrafish (Danio rerio) constitute an excellent model system to investigate the neural and genetic basis of quantitative cognition because of the single neuron resolution of calcium imaging of awake, behaving fish. While nonsymbolic numerical cognition has been investigated across many taxa, symbolic numerical cognition has not been investigated among fish. We developed a novel quantitative symbolic test for zebrafish using an operant conditioning paradigm in which the number of horizontal lines zebrafish approached in a 2-alternative forced choice task predicted the number of food reward pellets they would receive. Zebrafish did not at the population level learn a preference for the 2-line stimulus predictive of receiving 2 food pellets. However, they performed significantly above chance in a nonsymbolic discrimination task with the same apparatus, in which the 2-line stimulus was associated with the same reward but the choice of the 1-line stimulus was not rewarded. We also explored the explanatory value of alternative spatial learning hypotheses such as a Win-Stay, Lose-Shift (WSLS) strategy at the individual level for fish in navigating these spatially randomised tasks. The implications of this for symbolic versus nonsymbolic quantitative cognition in this model system are discussed relative to reward type and stimulus modality.
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