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.

Associations between maternal psychological distress and mother-infant bonding: a systematic review and meta-analysis.

PURPOSE: Maternal psychological distress and mother-infant bonding problems each predict poorer offspring outcomes. They are also related to each other, yet the extensive literature reporting their association has not been meta-analysed. METHODS: We searched MEDLINE, PsycINFO, CINAHL, Embase, ProQuest DTG, and OATD for English-language peer-reviewed and grey literature reporting an association between mother-infant bonding, and multiple indicators of maternal psychological distress. RESULTS: We included 133 studies representing 118 samples; 99 samples (110,968 mothers) were eligible for meta-analysis. Results showed concurrent associations across a range of timepoints during the first year postpartum, between bonding problems and depression (r = .27 [95% CI 0.20, 0.35] to r = .47 [95% CI 0.41, 0.53]), anxiety (r = .27 [95% CI 0.24, 0.31] to r = .39 [95% CI 0.15, 0.59]), and stress (r = .46 [95% CI 0.40, 0.52]). Associations between antenatal distress and subsequent postpartum bonding problems were mostly weaker and with wider confidence intervals: depression (r = .20 [95% CI 0.14, 0.50] to r = .25 [95% CI 0.64, 0.85]), anxiety (r = .16 [95% CI 0.10, 0.22]), and stress (r = .15 [95% CI - 0.67, 0.80]). Pre-conception depression and anxiety were associated with postpartum bonding problems (r = - 0.17 [95% CI - 0.22, - 0.11]). CONCLUSION: Maternal psychological distress is associated with postpartum mother-infant bonding problems. Co-occurrence of psychological distress and bonding problems is common, but should not be assumed. There may be benefit in augmenting existing perinatal screening programs with well-validated mother-infant bonding measures.

Monitoring Australian parents' shifting receptiveness to digital mental health interventions during the COVID-19 pandemic.

BACKGROUND: Nascent evidence indicates that the mental health of parents and children has markedly declined during the COVID-19 pandemic. Considering disruptions to traditional face-to-face mental health services resultant from stay-at-home orders, the potential value of digital mental health interventions has become extremely apparent. Despite this, uptake of digital interventions remains poor, indicating that a better understanding is needed of factors that determine a willingness to use digital platforms. METHOD: The present multi-wave, longitudinal study of 2365 Australian parents explored between-person and within-person predictors of intentions to use digital interventions during the pandemic. RESULTS: More than one-third of parents reported likely use of a self-guided and therapist-guided digital intervention, with the most endorsed reason for use being to support their child's mental health. Between-person baseline predictors of higher intention ratings were parent's prior mental illness, not living with a partner and recent environmental stressors. Within-person predictors of higher intention ratings were endorsement of mindful parenting strategies, child access to the Internet, better perceived management of child's education, lower social support and financial hardship. CONCLUSION: Findings demonstrate that willingness to engage in digital interventions fluctuates in response to changing circumstances. Identifying novel ways to increase acceptance and uptake of digital interventions based on modifiable predictors established here is needed to realize the full potential of these modes of care in times of need.

Parent and child mental health trajectories April 2020 to May 2021: Strict lockdown versus no lockdown in Australia.

OBJECTIVE: To control a second-wave COVID-19 outbreak, the state of Victoria in Australia experienced one of the world's first long and strict lockdowns over July-October 2020, while the rest of Australia experienced 'COVID-normal' with minimal restrictions. We (1) investigate trajectories of parent/child mental health outcomes in Victoria vs non-Victoria and (2) identify baseline demographic, individual and COVID-19-related factors associated with mental health trajectories. METHODS: Online community sample of 2004 Australian parents with rapid repeated assessment over 14 time-points over April 2020 to May 2021. Measures assessed parent mental health (Depression, Anxiety and Stress Scales-21), child depression symptoms (13-item Short Mood and Feelings Questionnaire) and child anxiety symptoms (four items from Brief Spence Children's Anxiety Scale). RESULTS: Mental health trajectories shadowed COVID-19 infection rates. Victorians reported a peak in mental health symptoms at the time of the second-wave lockdown compared to other states. Key baseline predictors, including parent and child loneliness (standardized regression coefficient [ß] = 0.09-0.46), parent/child diagnoses (ß = 0.07-0.21), couple conflict (ß = 0.07-0.18) and COVID-19 stressors, such as worry/concern about COVID-19, illness and loss of job (ß = 0.12-0.15), predicted elevated trajectories. Effects of predictors on parent and child mental health trajectories are illustrated in an online interactive app for readers (https://lingtax.shinyapps.io/CPAS_trend/). CONCLUSION: Our findings provide evidence of worse trajectories of parent and child mental health symptoms at a time coinciding with a second COVID-19 outbreak involving strict lockdown in Victoria, compared to non-locked states in Australia. We identified several baseline factors that may be useful in detecting high-risk families who are likely to require additional support early on in future lockdowns.

schema: an open-source, distributed mobile platform for deploying mHealth research tools and interventions.

BACKGROUND: Mobile applications for health, also known as 'mHealth apps', have experienced increasing popularity over the past ten years. However, most publicly available mHealth apps are not clinically validated, and many do not utilise evidence-based strategies. Health researchers wishing to develop and evaluate mHealth apps may be impeded by cost and technical skillset barriers. As traditionally lab-based methods are translated onto mobile platforms, robust and accessible tools are needed to enable the development of quality, evidence-based programs by clinical experts. RESULTS: This paper introduces schema, an open-source, distributed, app-based platform for researchers to deploy behavior monitoring and health interventions onto mobile devices. The architecture and design features of the platform are discussed, including flexible scheduling, randomisation, a wide variety of survey and media elements, and distributed storage of data. The platform supports a range of research designs, including cross-sectional surveys, ecological momentary assessment, randomised controlled trials, and micro-randomised just-in-time adaptive interventions. Use cases for both researchers and participants are considered to demonstrate the flexibility and usefulness of the platform for mHealth research. CONCLUSIONS: The paper concludes by considering the strengths and limitations of the platform, and a call for support from the research community in areas of technical development and evaluation. To get started with schema, please visit the GitHub repository: https://github.com/schema-app/schema.

Attachment and child behaviour and emotional problems in autism spectrum disorder with intellectual disability.

BACKGROUND: Behaviour and emotional problems are highly prevalent in children with autism spectrum disorder (ASD). In typically developing children, attachment quality acts as a risk/protective factor for behavioural outcomes and adjustment, warranting investigation in children with ASD. METHOD: We investigated the relationship between attachment and child behaviour and emotional problems in children with ASD and comorbid intellectual disability. Data were collected from parent-child dyads where children were diagnosed with ASD and ID (n = 28) or other developmental disabilities (n = 20). RESULTS: Children with ASD had higher levels of behaviour and emotional problems and more attachment difficulties than children with other developmental disabilities. Poorer attachment quality contributed uniquely to the variance in child behaviour and emotional problems. CONCLUSIONS: Interventions targeting behaviour and emotional problems in children with ASD may benefit from an attachment model which addresses the child's difficulty in using caregivers as a coregulatory agent of emotions.

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.

Correction to: Prenatal alcohol exposure and infant gross motor development: a prospective cohort study.

Following publication of the original article [1], the authors opted to revise the first paragraph of the section "Characteristics associated with maternal drinking in pregnancy". Below is the updated version.

Prenatal alcohol exposure and infant gross motor development: a prospective cohort study.

BACKGROUND: Maternal alcohol consumption in pregnancy may have adverse effects on child gross motor (GM) development. There have been few human studies on this topic, particularly ones examining low exposure. This study examined the association between prenatal alcohol exposure (PAE) and infant GM development at 12-months of age. METHODS: Participants were 1324 women recruited from antenatal clinics in Sydney and Perth, Australia. Maternal and paternal alcohol use was assessed in pregnancy via interview; offspring GM development was measured at 12-months with the Bayley Scales of Infant Development (BSID-III). RESULTS: Any alcohol use in pregnancy was common: 56.1%, of pregnant women drank early in Trimester one (0-6 weeks), however this reduced to 27.9% on average thereafter and at predominantly low levels. However, infant BSID GM scale scores were not found to differ significantly as a function of PAE in the first 6-weeks (low, moderate, binge or heavy PAE), nor with low PAE across pregnancy. CONCLUSIONS: We found no evidence to suggest that low PAE is associated with measurable impairment in infant GM development at 12-months. Further research is needed to examine potential PAE impacts on GM development in heavier exposure groups and through the childhood years when subtle GM deficits may be more detectable.

Retention strategies in longitudinal cohort studies: a systematic review and meta-analysis.

BACKGROUND: Participant retention strategies that minimise attrition in longitudinal cohort studies have evolved considerably in recent years. This study aimed to assess, via systematic review and meta-analysis, the effectiveness of both traditional strategies and contemporary innovations for retention adopted by longitudinal cohort studies in the past decade. METHODS: Health research databases were searched for retention strategies used within longitudinal cohort studies published in the 10-years prior, with 143 eligible longitudinal cohort studies identified (141 articles; sample size range: 30 to 61,895). Details on retention strategies and rates, research designs, and participant demographics were extracted. Meta-analyses of retained proportions were performed to examine the association between cohort retention rate and individual and thematically grouped retention strategies. RESULTS: Results identified 95 retention strategies, broadly classed as either: barrier-reduction, community-building, follow-up/reminder, or tracing strategies. Forty-four of these strategies had not been identified in previous reviews. Meta-regressions indicated that studies using barrier-reduction strategies retained 10% more of their sample (95%CI [0.13 to 1.08]; p = .01); however, studies using follow-up/reminder strategies lost an additional 10% of their sample (95%CI [- 1.19 to - 0.21]; p = .02). The overall number of strategies employed was not associated with retention. CONCLUSIONS: Employing a larger number of retention strategies may not be associated with improved retention in longitudinal cohort studies, contrary to earlier narrative reviews. Results suggest that strategies that aim to reduce participant burden (e.g., flexibility in data collection methods) might be most effective in maximising cohort retention.

Weight in the First Year of Life: Associations with Maternal Prepregnancy Body Mass Index and Gestational Weight Gain-Findings from a Longitudinal Pregnancy Cohort.

Objective To investigate the obesogenic influence of maternal prepregnancy body mass index (BMI) and gestational weight gain (GWG) on infant weight at birth and 12 months postpartum in an Australian general population sample. Methods Data on 1,305 pregnant women were collected on prepregnancy BMI and GWG through maternal interview, on infant weight at birth through hospital records, and on infant weight 12 months postbirth through direct measurement. Relationships between prepregnancy, gestational weight exposures, and infant weight outcomes were assessed with and without adjustment for potential confounding. Results We observed a 14 to 24 g increase in infant birth weight for every 1 kg increase in maternal weight (infant birth weight: ß(BMI) = 0.014, p < 0.000; ß(GWG) = 0.012, p < 0.000; and 12 months: ß(BMI) = 0.018, p < 0.000; ß(GWG) = 0.024, p < 0.000). Effects remained after adjustment for potential confounders (infant birth weight: ß(BMI) = 0.014, p < 0.000; ß(GWG) = 0.012, p < 0.001; and 12 months: ß(BMI)= 0.017, p ≤ 0.033; ß(GWG) = 0.023, p = 0.001). However, the effects observed were small, and there was no evidence that GWG mediated relationships between preconception BMI and infant weight. Conclusion In a general population sample, there is a significant but not substantial observed relationship between maternal prepregnancy BMI and GWG and infant weight outcomes, suggesting a minor role for these factors at a population level.

Understanding and optimising gratitude interventions: the right methods for the right people at the right time.

OBJECTIVE: Gratitude has consistently been associated with various beneficial health-related outcomes, including subjective wellbeing, positive mental health, and positive physical health. In light of such effects, positive psychology researchers and practitioners have often implemented gratitude interventions in an attempt to build individuals' orientations toward appreciation and thankfulness. Recent meta-analyses and reviews have revealed, however, that these interventions often have mixed effects on gratitude or other health outcomes. With this issue in mind, we aimed to identify (a) contextual considerations that may impact the effectiveness of these approaches, and (b) recommendations for the optimisation of gratitude interventions. METHODS AND MEASURES: Seventeen mental health professionals or experienced health psychology researchers engaged in semi-structured interviews to address the research questions. RESULTS: Thematic analysis of the data resulted in three contextual themes-cultural considerations, personal characteristics, and life experience-that were discussed as factors likely to influence intervention effectiveness. With respect to recommendations, participants highlighted the importance of encouraging deep engagement in gratitude tasks, consistent repetition of those tasks, and the value of interpersonal expressions of gratitude. CONCLUSION: Discussion is centred on suggestions for future research on gratitude and on implications for the implementation of gratitude interventions.

Association of maternal and paternal perinatal depression and anxiety with infant development: A longitudinal study.

BACKGROUND: Maternal and paternal perinatal depression and anxiety are theorised to adversely impact infant development. Yet, few studies have assessed both mental health symptoms and clinical diagnoses within the one study. Moreover, research on fathers is limited. This study therefore aimed to examine the association between symptoms and diagnoses of maternal and paternal perinatal depression and anxiety with infant development. METHOD: Data were from the Triple B Pregnancy Cohort Study. Participants included 1539 mothers and 793 partners. Depressive and anxiety symptoms were assessed using the Edinburgh Postnatal Depression Scale and Depression Anxiety Stress Scales. Major depressive disorder, generalized anxiety disorder, social anxiety disorder, panic disorder, and agoraphobia were assessed using the Composite International Diagnostic Interview in trimester three. Infant development was assessed at 12-months using the Bayley Scales of Infant and Toddler Development. RESULTS: Antepartum, maternal depressive and anxiety symptoms were associated with poorer infant social-emotional (d = -0.11, p = .025) and language development (d = -0.16, p = .001). At 8-weeks postpartum, maternal anxiety symptoms were associated with poorer overall development (d = -0.11, p = .030). No association was observed for clinical diagnoses in mothers, nor paternal depressive and anxiety symptoms or clinical diagnoses; albeit risk estimates were largely in the expected direction of adverse effects on infant development. CONCLUSIONS: Evidence suggests that maternal perinatal depression and anxiety symptoms may adversely impact infant development. Effects were small but findings underscore the importance of prevention, early screening and intervention, alongside consideration of other risk factors during early critical periods.

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.

The Role of Antenatal and Postnatal Maternal Bonding in Infant Development.

OBJECTIVE: The affectional bond experienced by a mother toward her developing fetus/infant has been theorized to be a critical factor in determining infant developmental outcomes; yet there remains a paucity of research in this area, and a lack of high-quality longitudinal studies. This study aimed to examine the extent to which mother-to-infant bonding predicted infant development in a multi-wave longitudinal pregnancy cohort study (N = 1,347). METHOD: Self-reported bonding was assessed using the Maternal Antenatal Attachment Scale at each trimester, and the Maternal Postnatal Attachment Scale at 8 weeks and 12 months postpartum. Infant development was assessed using the Bayley Scales of Infant and Toddler Development, Third Edition (Bayley-III) at 12 months. RESULTS: Bonding predicted indicators of infant social-affective development, including social-emotional, behavioral, and temperamental outcomes. Effect sizes ranged from small to moderate, increasing over the perinatal period (ß = 0.11-0.27). Very small effects were also identified in the relationship between bonding and cognitive, language, and motor development (ß = 0.06-0.08). CONCLUSION: Findings suggest that a mother's perceived emotional connection with her child plays a role in predicting social-affective outcomes; prediction may not extend to other domains of infant development. Maternal bonding may therefore be a potentially modifiable predictor of infant social-affective outcomes, offering important considerations for preventive intervention.

Strengthening Peer Mentoring Relationships for New Mothers: A Qualitative Analysis.

(1) Background: The transition to motherhood can be challenging, especially for first-time mothers, and can accompany maternal distress. Social support-such as that offered by peers-can be important in assisting mothers to manage such distress. Although primiparous mothers often seek out and value peer support programs, few researchers have investigated factors that may influence the strength of relationships in non-professional maternal peer support programs. Insight into these factors can be key to enhancing the success of future peer support interventions. (2) Methods: Reflexive thematic analysis was applied to data gathered from 36 semi-structured interviews conducted with 14 primiparous mothers and 17 peer mentors in a peer support program. (3) Results: Four themes related to successful mentorship were identified: expectations of peer relationship, independence of peer mentor, contact, and similarities. (4) Conclusions: For primiparous mothers who are developing their support network, these factors appear important for promoting close and effective peer support relationships. Interventions that harness the dynamics between these factors may contribute to more successful peer support relationships and mental health outcomes for participants.

Association of adolescent and young adult depression and anxiety with perinatal mental health in fathers: Findings from an Australian longitudinal study.

The current study examined associations between preconception diagnoses of major depressive disorder (MDD) and anxiety disorders in adolescence and young adulthood and perinatal depression and anxiety symptoms in early fatherhood. In an Australian community cohort study of health and development, earlier history of MDD and anxiety disorders (extending back to adolescence) were assessed retrospectively in the third trimester of pregnancy via the Composite International Diagnostic Interview. Paternal perinatal depression and anxiety were then assessed prospectively over three timepoints (third trimester of pregnancy, 8 weeks and 12 months postpartum), using established cut-points on the Edinburgh Postnatal Depression Scale and the Depression Anxiety Stress Scales (anxiety subscale). Mixed-effects regression models examined risk associations between preconception diagnoses of MDD and anxiety disorders, and perinatal depression and anxiety symptoms at each timepoint, adjusting for socio-demographic factors and concurrent maternal mental health difficulties. The odds of clinically concerning levels of paternal perinatal depression and anxiety were 6-fold and 4-fold higher, respectively, in men with a preconception history of MDD. The odds of perinatal depression were 3-fold higher in men with a preconception history of an anxiety disorder. Less evidence was found for an association between preconception diagnoses of an anxiety disorder and perinatal anxiety in fathers. Interventions aimed at improving mental health in men during adolescence and young adulthood may promote continued psychological health in men during early fatherhood.

Critical measurement issues in the assessment of social media influence on body image.

Progress towards understanding how social media impacts body image hinges on the use of appropriate measurement tools and methodologies. This review provides an overview of common (qualitative, self-report survey, lab-based experiments) and emerging (momentary assessment, computational) methodological approaches to the exploration of the impact of social media on body image. The potential of these methodologies is detailed, with examples illustrating current use as well as opportunities for expansion. A key theme from our review is that each methodology has provided insights for the body image research field, yet is insufficient in isolation to fully capture the nuance and complexity of social media experiences. Thus, in consideration of gaps in methodology, we emphasise the need for big picture thinking that leverages and combines the strengths of each of these methodologies to yield a more comprehensive, nuanced, and robust picture of the positive and negative impacts of social media.

Exploring the features of an app-based just-in-time intervention for depression.

BACKGROUND: Technological advancements make it possible to deliver depression interventions via smartphone applications ("Apps"), including those that deliver content "just-in-time" (e.g., in response to acute negative mood states). This study examined whether an app-based just-in-time intervention (ImproveYourMood+) decreased depressive symptoms, and whether the following features were related to symptom improvement: micro-intervention content, mood monitoring, and just-in-time prompts to use content. METHODS: Participants (n = 235) from the general population who self-identified as wanting to improve their negative mood were randomised to a waitlist control group (n = 55) or one of three intervention groups: MoodTracker (monitoring-only, n = 58), ImproveYourMood (monitoring and content; n = 62), or ImproveYourMood+ (monitoring, content, and prompts; n = 60). The active intervention phase was 3 weeks. Depressive and anxiety symptoms, and negative automatic thoughts were assessed at baseline, immediately post-intervention, and one month following post-intervention. RESULTS: Linear mixed modelling revealed greater declines over time in depressive and anxiety symptoms and negative automatic thoughts for the ImproveYourMood group (standardized mean differences [SMDs] ranged from .32 to .40) and improves for the ImproveYourMood+ group for negative automatic thoughts (SMDs ≥ .37) compared to the waitlist control group. No between-group differences were observed between the MoodTracker and control groups (SMDs = .04-.23). User experience appeared to be superior in more comprehensive/multi-modal versions. LIMITATIONS: The study employed a naturalistic design, whereby participants self-selected to utilise the program, did not complete eligibility assessments, and did not receive compensation. The study therefore attained considerable drop-out rate (~50% by the follow-up timepoints), potentially reflecting the usage patterns of real-world mental health apps. CONCLUSIONS: The findings suggest that micro-interventions can be an effective way to reduce depressive symptoms both in the moment and 1-2 months later. Integration of micro-interventions with full treatment programs is a viable next step in micro-intervention research.

Paternal coping and psychopathology during the perinatal period: A mixed studies systematic review and meta-analysis.

How fathers cope with stress may be critical to their mental health during the perinatal period. Using a sequential explanatory design for systematic review and meta-analysis, we aimed to identify associations and causal relations between higher- and lower-order avoidant and approach coping strategies and paternal psychopathology. We searched five electronic databases and grey literature, and used random-effects models to calculate pooled effects from 11 quantitative studies. Meta-analytic results were integrated with findings from 18 qualitative studies. Fathers' avoidant coping was positively associated with global psychopathology and depression. Approach-oriented coping, particularly problem-solving, was associated with positive affect but not psychopathology. Qualitative findings indicate distressed fathers employ avoidant coping strategies such as suppression, distraction, and social withdrawal. Approach-oriented coping strategies such as problem-solving and cognitive reappraisals appeared to be constructive components of men's coping repertoires supporting adaptation to fatherhood. Different coping strategies and approaches may reflect enactment of constrictive, moderate, or reinterpreted masculine norms. Study designs did not allow conclusions about causal relations between coping and psychopathology. Screening for, and targeting of, high avoidant coping among expectant and new fathers may help detect men at risk of or experiencing mental health difficulties and inform clinical response to psychopathology. Research examining whether different patterns of avoidant and approach coping are associated with psychopathology over time could inform interventions to support men's mental health and adaptation to fatherhood.