Intergenerational transmission of mental disorders has been well established, but it is unclear whether exposure to a child's mental disorder increases parents' subsequent risk of mental disorders.

We examined the association of mental disorders in children with their parents' subsequent mental disorders.

In this population-based cohort study, we included all individuals with children born in Finland or Denmark in 1990–2010. Information about mental disorders was acquired from national registers. The follow-up period began when the parent's eldest child was 5 years old (for ICD-10 codes F10–F60) or 1 year old (for codes F70–F98) and ended on 31 December 2019 or when the parent received a mental disorder diagnosis, died, or emigrated from Finland or Denmark. The associations of mental disorders in children with their parents' subsequent mental disorders were examined using Cox proportional hazards models.

The study cohort included 1 651 723 parents. In total, 248 328 women and 250 763 men had at least one child who had been diagnosed with a mental disorder. The risk of a parent receiving a mental disorder diagnosis was higher among those who had a child with a mental disorder compared with those who did not. For both parents, the hazard ratios were greatest in the first 6 months after the child's diagnosis (hazard ratio 2.04–2.54), followed by a subtle decline in the risk (after 2 years, the hazard ratio was 1.33–1.77).

Mental disorders in children are associated with a greater risk of subsequent mental disorders among their parents. Additional support is needed for parents whose children have been recently diagnosed with a mental disorder.

Depressive and anxiety disorders constitute a major component of the disease burden of mental disorders in China.

To comprehensively evaluate the disease burden of depressive and anxiety disorders in China.

The raw data is sourced from the Global Burden of Disease, Injuries, and Risk Factors Study (GBD) 2021. This study presented the disease burden by prevalence and disability-adjusted life years (DALYs) of depressive and anxiety disorders at both the national and provincial levels in China from 1990 to 2021, and by gender (referred to as 'sex' in the GBD 2021) and age.

From 1990 to 2021, the number of depressive disorder cases (from 34.4 to 53.1 million) and anxiety disorders (from 40.5 to 53.1 million) increased by 54% (95% uncertainty intervals: 43.9, 65.3) and 31.2% (19.9, 43.8), respectively. The age-standardised prevalence rate of depressive disorders decreased by 6.4% (2.9, 10.4), from 3071.8 to 2875.7 per 100 000 persons, while the prevalence of anxiety disorders remained stable. COVID-19 had a significant adverse impact on both conditions. There was considerable variability in the disease burden across genders, age groups, provinces and temporal trends. DALYs showed similar patterns.

The burden of depressive and anxiety disorders in China has been rising over the past three decades, with a larger increase during COVID-19. There is notable variability in disease burden across genders, age groups and provinces, which are important factors for the government and policymakers when developing intervention strategies. Additionally, the government and health authorities should consider the potential impact of public health emergencies on the burden of depressive and anxiety disorders in future efforts.

We rely heavily on cut-off points of brief measures of psychological distress in research and clinical practice to identify those at risk of mental health conditions; however, few studies have compared the performance of different scales.

To determine the extent to which the child- and parent-report Strength and Difficulty Questionnaire (SDQ), Revised Children’s Anxiety and Depression Scale (RCADS), short Mood and Feeling Questionnaire (sMFQ) and child-report KIDSCREEN correlated and identified the same respondents above cut-off points and at risk of mental health conditions.

A cross-sectional survey was conducted among 231 children aged 11–16 years and 289 parents who completed all the above measures administered via a mobile app, MyJournE, including the SDQ, RCADS and sMFQ.

The psychopathology measures identified similar proportions of young people as above the cut-off point and at risk of depression (child report 14.7% RCADS, 19.9% sMFQ, parent report 8.7% RCADS, 12.1% sMFQ), anxiety (child report 24.7% RCADS, 26.0% SDQ-Emotional subscale, parent report 20.1% RCADS, 26% SDQ-Emotional subscale) and child-report internalising problems (26.8% RCADS, 29.9% SDQ). Despite strong correlations between measures (child report 0.77–0.84 and parent report 0.70–0.80 between the SDQ, sMFQ and RCADS) and expected directions of correlation with KIDSCREEN and SDQ subscales, kappa values indicate moderate to substantial agreement between measures. Measures did not consistently identify the same children; half (n = 36, 46%) of those on child report and a third (n = 30, 37%) on parent report, scoring above the cut-off point for the SDQ-Emotional subscale, RCADS total or sMFQ, scored above the cut-off point on all of them. Only half (n = 46, 54%) of the children scored above the cut-off point on child report by the SDQ-Internalising and RCADS total scales.

This study highlights the risk of using a screening test to ‘rule out’ potential psychopathology. Screening tests should not be used diagnostically and are best used together with broad assessment.

Anxiety symptoms are elevated among people with joint hypermobility. The underlying neural mechanisms are attributed theoretically to effects of variant connective tissue on the precision of interoceptive representations contributing to emotions.

To investigate the neural correlates of anxiety and hypermobility using functional neuroimaging.

We used functional magnetic resonance neuroimaging to quantify regional brain responses to emotional stimuli (facial expressions) in people with generalised anxiety disorder (GAD) (N = 30) and a non-anxious comparison group (N = 33). All participants were assessed for joint laxity and were classified (using Brighton Criteria) for the presence and absence of hypermobility syndrome (HMS: now considered hypermobility spectrum disorder).

Participants with HMS showed attenuated neural reactivity to emotional faces in specific frontal (inferior frontal gyrus, pre-supplementary motor area), midline (anterior mid and posterior cingulate cortices) and parietal (precuneus and supramarginal gyrus) regions. Notably, interaction between HMS and anxiety was expressed in reactivity of the left amygdala (a region implicated in threat processing) and mid insula (primary interoceptive cortex) where activity was amplified in people with HMS with GAD. Severity of hypermobility in anxious, compared with non-anxious, individuals correlated with activity within the anterior insula (implicated as the neural substrate linking anxious feelings to physiological state). Amygdala-precuneus functional connectivity was stronger in participants with HMS, compared with non-HMS participants.

The predisposition to anxiety in people with variant connective tissue reflects dynamic interactions between neural centres processing threat (amygdala) and representing bodily state (insular and parietal cortices). Correspondingly, interventions to regulate amygdala reactivity while enhancing interoceptive precision may have therapeutic benefit for symptomatic hypermobile individuals.