Trajectories of depressive symptoms, dopamine D2 and D4 receptors, family socioeconomic status and social support in adolescence and young adulthood

2009 ◽  
Vol 19 (1) ◽  
pp. 14-26 ◽  
Author(s):  
Guang Guo ◽  
Kathryn Harker Tillman
2020 ◽  
pp. 0044118X2094134 ◽  
Author(s):  
Wenjing Yan ◽  
Kairong Yang ◽  
Qiuling Wang ◽  
Xuqun You ◽  
Feng Kong

This study aimed at examining the relationships among subjective family socioeconomic status (FSES), self-esteem (SE), social support (SS), and life satisfaction (LS) in two independent samples of Chinese adolescents. In Study 1, 510 adolescents were asked to complete a multi-section questionnaire. The mediation analyses indicated that subjective FSES predicted LS through three pathways. First, subjective FSES predicted LS through the mediating effect of SE. Second, subjective FSES predicted LS through the mediating effect of SS. Third, subjective FSES predicted LS through the serial mediating effect of SS and SE. Besides, the contrast tests revealed that the mediating effect of SE had no significant difference with that of SS. To test whether the above results are stable and replicable, we further conducted a validation study in Sample 2 ( N = 405) and found all the results remained significant. Implications for future research and limitations are discussed.


2006 ◽  
Vol 189 (5) ◽  
pp. 422-427 ◽  
Author(s):  
Jennifer Y. F. Lau ◽  
Thalia C. Eley

BackgroundDepression rises markedly in adolescence, a time when increased and new genetic influences have been reported.AimsTo examine ‘new’ and ‘stable’ genetic and environmental factors on depressive symptoms in adolescence and young adulthood.MethodA questionnaire survey investigated a sample of twin and sibling pairs at three time points over an approximately 3-year period. Over 1800 twin and sibling pairs reported depressive symptoms at the three time points. Data were analysed using multivariate genetic models.ResultsDepressive symptoms at all time points were moderately heritable with substantial non-shared environmental contributions. Wave I genetic factors accounted for continuity of symptoms at waves 2 and 3. ‘New’ genetic effects at wave 2 also influenced wave 3 symptoms. New non-shared environmental influences emerged at each time point.ConclusionsNew genetic and environmental influences may explain age-related increases in depression across development.


2018 ◽  
Vol 54 (5) ◽  
pp. 950-962 ◽  
Author(s):  
Lotte van Doeselaar ◽  
Theo A. Klimstra ◽  
Jaap J. A. Denissen ◽  
Susan Branje ◽  
Wim Meeus

2016 ◽  
Vol 183 (4) ◽  
pp. 269-276 ◽  
Author(s):  
Shakira F. Suglia ◽  
Ryan T. Demmer ◽  
Richa Wahi ◽  
Katherine M. Keyes ◽  
Karestan C. Koenen

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A235-A235
Author(s):  
Christine Laganière ◽  
Samantha Kenny ◽  
Hélène Gaudreau ◽  
Irina Pokhvisneva ◽  
Andrée-Anne Bouvette-Turcot ◽  
...  

Abstract Introduction Several psychosocial factors contribute to the etiology of sleep bruxism in childhood, including emotional-behavioral problems, as well as environmental and familial factors. It is known that sleep bruxism is prevalent in preschoolers, but most etiology studies were conducted with school-aged children or adolescents. Studies focusing on younger, preschool-aged populations that consider family-related factors are lacking. This study aimed to assess the relationship between emotional-behavioral problems and the presence of sleep bruxism in preschoolers, while taking maternal depressive symptoms into consideration. Methods Three hundred eighty-three mother-child dyads from the Maternal Adversity, Vulnerability, and Neurodevelopment (MAVAN) cohort were included in the present study. Mothers completed the Child’s Sleep Habits Questionnaires (CSHQ; includes the frequency of bruxism), a questionnaire about their child’s emotional-behavioral problems (CBCL; anxiety and depressive problems), and reported their own depressive symptoms (CES-D). Measures were completed at two timepoints: when children were 4 and 5 years old. Generalized Estimating Equation (GEE) models were used to evaluate the relationship between sleep bruxism frequency and children’s emotional-behavioral problems, while controlling for maternal depressive symptoms, child’s biological sex, family socioeconomic status, and age. Results Maternal reports indicated that 12% of children experienced sleep bruxism at least sometimes at age four, and 20% did at age five. Children’s anxiety and depressive symptoms were associated with increased sleep bruxism frequency (p < 0.05). Associations between children’s emotional-behavioral problems and bruxism remained statistically significant when controlling for maternal depressive symptoms, child’s biological sex, family socioeconomic status, and time (p < 0.05). Conclusion In this normative cohort of children, sleep bruxism was associated with anxiety and depressive symptoms in children as young as age four. Furthermore, this relationship can still be observed when the severity of maternal depressive symptoms is considered. Whether anxiety and depressive symptoms contribute to sleep bruxism, or vice versa, remain to be further investigated. Nevertheless, results suggest that screening of emotional-behavioral problems should be considered in children experiencing sleep bruxism. Support (if any) Fonds de recherche du Québec - Santé


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