Maternal perinatal social support and infant social-emotional problems and competencies: a longitudinal cross-cohort replication study.

PURPOSE: Maternal perinatal social support is theorised to promote offspring social-emotional development, yet few studies have prospectively examined this relationship. Findings may inform preventative intervention efforts, to support a healthy start to emotional life. METHODS: This study examined whether maternal social support perinatally predicts infant social-emotional development at 12 months of age in two longitudinal cohort studies: The Australian Temperament Project (ATP) (n = 1,052 mother-infant dyads [653 mothers, M age_at_birth = 32.03, 88% Australian-born; 1,052 infants, 52% girls]) and The Triple B Pregnancy Cohort Study (Triple B) (n = 1,537 dyads [1,498 mothers, M age_at_birth = 32.53, 56% Australian-born; 1,537 infants, 49% girls]). Social support was assessed at pregnancy (third trimester) and eight-weeks post-birth. Infant social-emotional competencies (ATP: Brief Infant and Toddler Social and Emotional Assessment (BITSEA), Competencies Scale; Triple B: Bayley Scales of Infant and Toddler Development-Social Emotional Scale) and problems (ATP: BITSEA, Problems Scale; Triple B: Ages and Stages Questionnaires: Social-Emotional Scale), were assessed at 12-months of age. RESULTS: In ATP, social support was associated with lower offspring problems (pregnancy: ß = -0.15; post-birth: ß = -0.12) and greater competencies (pregnancy: ß = 0.12; post-birth: ß = 0.16) at 12 months. In Triple B, social support also predicted lower offspring problems (pregnancy: ß = -0.11; post-birth: ß = -0.07) and greater competencies (pregnancy: ß = 0.07) at 12 months. Findings did not indicate an association between support at eight-weeks post-birth and subsequent competencies (ß = 0.06). CONCLUSIONS: Evidence suggests that perinatal social support promotes healthy infant social and emotional development. These results underscore the critical importance of social support for mothers transitioning into parenthood.

Factor structure of the Mini-Maternal Behavior Q-Sort and associations with infant attachment: Informing precision in research and intervention.

We examined the factor structure of parental sensitivity to infants as assessed by the Mini-Maternal Behavior Q-Sort (Mini-MBQS), a 25-item short-form of the original 90-item MBQS. We aimed to: (1) identify latent factors of the Mini-MBQS; and (2) validate each factor by testing associations with infant attachment classifications. Data on parent-infant dyads (n = 313; 222 mothers with 281 children, 29 fathers with 32 children) were drawn from a three-generation Australian cohort study. Exploratory Factor Analysis and Exploratory Structural Equation Modelling examined the structure of the Mini-MBQS. Two latent Mini-MBQS factors were identified, requiring 8 of 25 original items: (1) Attention and Responsiveness and (2) Contingency in Interactions. Infants with insecure attachment classifications had parents with lower sensitivity across both factors relative to infants classified secure. In particular, infants with resistant attachment classifications had parents with notably low Contingency in Interactions scores. Infants with disorganised attachment classifications had parents with the lowest relative sensitivity across both factors, and in these dyads Attention and Responsiveness scores were especially low. Results provide an empirically derived factor structure for the Mini-MBQS. Two subscales, each with significant infant attachment associations, may improve precision in clinical intervention and research translation.

Young adult mental health sequelae of eating and body image disturbances in adolescence.

OBJECTIVE: There has been interest in the antecedents and mental health impacts of eating and body image disturbances in adolescence. Less is known about longer-term mental health impacts into young adulthood, as longitudinal studies with data spanning this developmental period are rare. We capitalize on mental health data collected across adolescence and young adulthood from a population-based cohort study that has been following >2000 Australian children and their families from infancy to young adulthood. METHOD: This sample comprised 1,568 participants who completed the Eating Disorder Inventory drive for thinness and bulimic behavior (the severity of binge-purge patterns) subscales, and a modified version of the body dissatisfaction subscale in mid-adolescence (15-16 years), or the Depression Anxiety Stress Scales in young adulthood (19-20, 23-24, and 27-28 years). RESULTS: After adjusting for baseline demographic and prior mental health factors (<13 years of age), all three indices of eating and body image disturbances in adolescence predicted each mental health outcome in young adulthood. Mental health risks associated with adolescent body dissatisfaction and bulimic behavior scores remained stable across young adulthood, with men having more pronounced problems associated with bulimic behavior scores than women. In contrast, mental health risks associated with adolescent drive for thinness scores diminished across this period similarly for men and women. DISCUSSION: Findings suggest that adolescent eating and body image disturbances may have long-term mental health impacts that extend into young adulthood. This underscores the need for early preventative intervention, and longer-term monitoring and support for body image and eating disturbances.

Maternal mental health and infant emotional reactivity: a 20-year two-cohort study of preconception and perinatal exposures.

BACKGROUND: Maternal mental health during pregnancy and postpartum predicts later emotional and behavioural problems in children. Even though most perinatal mental health problems begin before pregnancy, the consequences of preconception maternal mental health for children's early emotional development have not been prospectively studied. METHODS: We used data from two prospective Australian intergenerational cohorts, with 756 women assessed repeatedly for mental health problems before pregnancy between age 13 and 29 years, and during pregnancy and at 1 year postpartum for 1231 subsequent pregnancies. Offspring infant emotional reactivity, an early indicator of differential sensitivity denoting increased risk of emotional problems under adversity, was assessed at 1 year postpartum. RESULTS: Thirty-seven percent of infants born to mothers with persistent preconception mental health problems were categorised as high in emotional reactivity, compared to 23% born to mothers without preconception history (adjusted OR 2.1, 95% CI 1.4-3.1). Ante- and postnatal maternal depressive symptoms were similarly associated with infant emotional reactivity, but these perinatal associations reduced somewhat after adjustment for prior exposure. Causal mediation analysis further showed that 88% of the preconception risk was a direct effect, not mediated by perinatal exposure. CONCLUSIONS: Maternal preconception mental health problems predict infant emotional reactivity, independently of maternal perinatal mental health; while associations between perinatal depressive symptoms and infant reactivity are partially explained by prior exposure. Findings suggest that processes shaping early vulnerability for later mental disorders arise well before conception. There is an emerging case for expanding developmental theories and trialling preventive interventions in the years before pregnancy.

Machine learning in mental health: a scoping review of methods and applications.

BACKGROUND: This paper aims to synthesise the literature on machine learning (ML) and big data applications for mental health, highlighting current research and applications in practice. METHODS: We employed a scoping review methodology to rapidly map the field of ML in mental health. Eight health and information technology research databases were searched for papers covering this domain. Articles were assessed by two reviewers, and data were extracted on the article's mental health application, ML technique, data type, and study results. Articles were then synthesised via narrative review. RESULTS: Three hundred papers focusing on the application of ML to mental health were identified. Four main application domains emerged in the literature, including: (i) detection and diagnosis; (ii) prognosis, treatment and support; (iii) public health, and; (iv) research and clinical administration. The most common mental health conditions addressed included depression, schizophrenia, and Alzheimer's disease. ML techniques used included support vector machines, decision trees, neural networks, latent Dirichlet allocation, and clustering. CONCLUSIONS: Overall, the application of ML to mental health has demonstrated a range of benefits across the areas of diagnosis, treatment and support, research, and clinical administration. With the majority of studies identified focusing on the detection and diagnosis of mental health conditions, it is evident that there is significant room for the application of ML to other areas of psychology and mental health. The challenges of using ML techniques are discussed, as well as opportunities to improve and advance the field.

Does adolescent heavier alcohol use predict young adult aggression and delinquency? Parallel analyses from four Australasian cohort studies.

While the association between heavy alcohol consumption and aggression has been well documented, the causal direction of this association, particularly at a population level, is disputed. A number of causal sequences have been proposed. First, that aggression leads to heavy alcohol use. Second, that heavy alcohol use leads to aggression. Third, that the association between alcohol use and aggression is due to confounding by (a) sociodemographic variables or (b) delinquency. We report here data from four Australasian prospective longitudinal studies of adolescents, to assess the temporal sequence of heavy drinking and aggression over the period from adolescence to young adulthood. The four cohort studies provide a total sample of 6,706 persons (Australian Temperament Project, n = 1701; Christchurch Health and Development Study, n = 931; Mater-University of Queensland Study of Pregnancy, n = 2437; Victorian Adolescent Health Cohort Study, n = 1637). We use multinomial logistic regression to determine whether early adolescent aggression predicts subsequent age of onset of heavy episodic drinking (HED), after adjustment for concurrent sociodemographic factors and delinquency. We then consider whether HED predicts subsequent aggression, after adjusting for past aggression, concurrent delinquency, and a range of confounders. There are broadly consistent findings across the four cohort studies. Early aggression strongly predicts subsequent HED. HED predicts later aggression after adjustment for prior aggression and other confounders. Policies that alter population levels of alcohol consumption are likely to impact on levels of aggression in societies where HED linked to aggression is more common.

A longitudinal investigation of perceived friend influence on adolescent girls' body dissatisfaction and disordered eating.

Although major etiological models highlight the importance of friends in the development of adolescent body image and eating problems, longitudinal research that comprehensively investigates possible direct and mediational relationships between these variables is lacking. Thus, this study aimed to examine prospective interrelationships between perceived friend influence, body dissatisfaction, and disordered eating in early adolescent girls, and whether these relationships differed across levels of body mass. A large Australian community sample of female high school students (N = 1,094; Time 1 M age = 12.3 years) completed a battery of self-report questionnaires assessing perceived friend influence, body dissatisfaction, and disordered eating at 3 yearly intervals. Height and weight were also measured at each time point. Structural equation modeling was used to investigate two separate models, in which Time 2 body dissatisfaction was hypothesized to mediate the relationship between Time 1 perceived friend influence and Time 3 dieting and bulimic behaviors. No significant direct or indirect pathways were found between friend influence and disordered eating. Unexpectedly, however, body dissatisfaction was found to prospectively predict girls' perception of friend influence. These findings were remarkably similar in both healthy and overweight girls. The findings suggest that friends may be more influential for those adolescents who have higher levels of body image concern, rather than contributing directly to the development of body dissatisfaction. The peer environment represents an important consideration in adolescent prevention and intervention programs.

Parental personality and early life ecology: a prospective cohort study from preconception to postpartum.

Personality reliably predicts life outcomes ranging from social and material resources to mental health and interpersonal capacities. However, little is known about the potential intergenerational impact of parent personality prior to offspring conception on family resources and child development across the first thousand days of life. We analysed data from the Victorian Intergenerational Health Cohort Study (665 parents, 1030 infants; est. 1992), a two-generation study with prospective assessment of preconception background factors in parental adolescence, preconception personality traits in young adulthood (agreeableness, conscientiousness, emotional stability, extraversion, and openness), and multiple parental resources and infant characteristics in pregnancy and after the birth of their child. After adjusting for pre-exposure confounders, both maternal and paternal preconception personality traits were associated with numerous parental resources and attributes in pregnancy and postpartum, as well as with infant biobehavioural characteristics. Effect sizes ranged from small to moderate when considering parent personality traits as continuous exposures, and from small to large when considering personality traits as binary exposures. Young adult personality, well before offspring conception, is associated with the perinatal household social and financial context, parental mental health, parenting style and self-efficacy, and temperamental characteristics of offspring. These are pivotal aspects of early life development that ultimately predict a child's long-term health and development.

Methods and Applications of Social Media Monitoring of Mental Health During Disasters: Scoping Review.

BACKGROUND: With the increasing frequency and magnitude of disasters internationally, there is growing research and clinical interest in the application of social media sites for disaster mental health surveillance. However, important questions remain regarding the extent to which unstructured social media data can be harnessed for clinically meaningful decision-making. OBJECTIVE: This comprehensive scoping review synthesizes interdisciplinary literature with a particular focus on research methods and applications. METHODS: A total of 6 health and computer science databases were searched for studies published before April 20, 2021, resulting in the identification of 47 studies. Included studies were published in peer-reviewed outlets and examined mental health during disasters or crises by using social media data. RESULTS: Applications across 31 mental health issues were identified, which were grouped into the following three broader themes: estimating mental health burden, planning or evaluating interventions and policies, and knowledge discovery. Mental health assessments were completed by primarily using lexical dictionaries and human annotations. The analyses included a range of supervised and unsupervised machine learning, statistical modeling, and qualitative techniques. The overall reporting quality was poor, with key details such as the total number of users and data features often not being reported. Further, biases in sample selection and related limitations in generalizability were often overlooked. CONCLUSIONS: The application of social media monitoring has considerable potential for measuring mental health impacts on populations during disasters. Studies have primarily conceptualized mental health in broad terms, such as distress or negative affect, but greater focus is required on validating mental health assessments. There was little evidence for the clinical integration of social media-based disaster mental health monitoring, such as combining surveillance with social media-based interventions or developing and testing real-world disaster management tools. To address issues with study quality, a structured set of reporting guidelines is recommended to improve the methodological quality, replicability, and clinical relevance of future research on the social media monitoring of mental health during disasters.

Maternal bonding, negative affect, and infant social-emotional development: A prospective cohort study.

BACKGROUND: Theoretical perspectives and empirical evidence suggest that maternal bonding and negative affect play a role in supporting infant social-emotional development (Branjerdporn et al., 2017; Kingston et al., 2012; O'Donnell et al., 2014; Van den Bergh et al., 2017). However, the complex pathways likely to exist between these constructs remain unclear, with limited research examining the temporal and potentially bi-directional associations between maternal bonding and negative affect across pregnancy and infancy. METHODS: The interrelationships between maternal bonding, negative affect, and infant social-emotional development were examined using multi-wave perinatal data from an Australian cohort study (N = 1,579). Self-reported bonding and negative affect were assessed at each trimester, and 8 weeks and 12 months postpartum. The Bayley-III social-emotional scale was administered at age 12 months. RESULTS: Results revealed strong continuities in bonding and negative affect across pregnancy and postpartum. Small associations (ß = -.10 to -.20) existed between maternal negative affect during pregnancy and poor early bonding. Higher postnatal maternal bonding predicted infant social-emotional development (ß = .17). LIMITATIONS: Limitations include a somewhat advantaged and predominantly Anglo-Saxon sample of families, and the use of self-report measures (though with strong psychometric properties). These limitations should be considered when interpreting the study findings. CONCLUSIONS: Maternal bonding and negative affect are interrelated yet unique constructs, with suggested developmental interplay between mother-to-infant bonding and infant social-affective development.