The concept of ‘internalizing behaviour’ reflects a child’s emotional or psychological state and typically includes depressive disorders, anxiety disorders, somatic complaints and teenage suicide. Genetic and environmental causes have been largely implicated, although research continues to explore social etiological factors. Some research suggests females may be especially vulnerable to internalizing disorders, while data across ethnicities are somewhat variable. Regarding treatment, cognitive-behavioural therapies and use of pharmacological approaches (i.e. selective serotonin reuptake inhibitors) have both shown great promise in reducing symptoms of internalizing disorders. However, given the role of the social environment, prevention programmes aimed at reducing exposure to drugs, violence/abuse and environmental toxins are highly important. Internalizing disorders are associated with a host of deleterious outcomes (e.g. school drop-out, substance use and potentially suicide) as well as psychopathological outcomes (e.g. co-morbid anxiety or depression, externalizing disorders – including suicide). Children with mental health problems suffer educationally and are more likely to become entangled in the justice and welfare systems. Clearly, early treatment and prevention programmes for internalizing disorders need to be a priority from a public health perspective as well as from a family and community perspective.

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A new technique for the determination of the orientation distribution of a porphyrin within a Langmuir monolayer, in terms of the mean tilt angle relative to the monolayer normal and the width, is described. The technique utilizes the measurement of polarized fluorescence, excited with the electric field both parallel and perpendicular to the monolayer plane. The main difference between this technique and the existing ones [Fraaije et al.,

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Objective Traditional observational research has suggested a connection between socioeconomic position, mental health, and sleep apnea (SA), but the specifics of this connection are still unclear. Using the Mendelian randomization approach, we intended to evaluate the potential causal link between mental health, socioeconomic status, and SA. Methods Our research employed summary statistics data from large-scale genome-wide association studies (GWAS) on mental health, socioeconomic status, and SA. In the main study, the connection between mental health, socioeconomic status, and SA was examined using the inverse variance weighted approach. In addition, as a supplement, we also used other Mendelian randomization methods, including MR Egger, weighted median, simple mode, and weighted mold. Results The primary analysis showed that educational attainment, including longer years of schooling, college or university degree, and higher intelligence was associated with a lower risk of SA (OR = 0.750, 95%CI = 0.653–0.862; OR = 0.558, 95%CI = 0.423–0.735; OR = 0.871, 95%CI = 0.760–0.999, respectively), while social deprivation was associated with a higher risk of SA (OR = 1.821, 95%CI = 1.075–3.085). And the income was not associated with the risk of sleep apnea (OR = 0.877, 95%CI = 0.682–1.129). In mental health exposure, major depressive disorder was associated with a higher risk of sleep apnea (OR = 1.196, 95%CI = 1.015–1.409), while attention-deficit hyperactivity disorder, bipolar disorder, and schizophrenia were not associated with the risk of sleep apnea (OR = 1.064, 95%CI = 0.958–1.181; OR = 1.030, 95%CI = 0.942–1.127; OR = 0.990, 95%CI = 0.957–1.025, respectively). Reverse MR analysis failed to find a causal effect from SA to mental health and socioeconomic status. Conclusions This MR investigation offers proof of a possible causal relationship between SA, socioeconomic level, and mental health.