Latina mothers' mental health and children's academic readiness: Moderation by maternal education

2019 ◽  
Vol 62 ◽  
pp. 260-269 ◽  
Author(s):  
Francisco Palermo ◽  
Gustavo Carlo ◽  
Jean M. Ispa ◽  
Christina Squires
2018 ◽  
Vol 202 ◽  
pp. 170-178 ◽  
Author(s):  
Ann-Katrin Meyrose ◽  
Fionna Klasen ◽  
Christiane Otto ◽  
Gabriela Gniewosz ◽  
Thomas Lampert ◽  
...  

2016 ◽  
Vol 33 (S1) ◽  
pp. S176-S176
Author(s):  
C. Miranda ◽  
L. Santos ◽  
C.S. Paula ◽  
W. Ribeiro ◽  
T. Florencio

IntroductionIn deprived environments, mental health problems for both the mother and her stunted child may be related.ObjectiveTo verify possible association between a child's nutritional and mental health status with common maternal mental disorders (and associated impairment).AimsTo contribute to management of malnutrition and mental health in low-income populations.MethodsCase-control study in which 48 malnourished children (aged 48 to 72 months) were compared with 50 eutrophic children. The child's nutritional status, the children's mental health, the maternal mental health, and the associated disability were evaluated by using the WHO criteria, the “Strengths and Difficulties Questionnaire” (SDQ), the “Self-Report Questionnaire”-20 (SRQ-20), and the “Sheehan Disability Scale” (SDS), respectively. In addition, selected socio-economic aspects were considered.ResultsVariables with significant odds ratio (OR) in the univariate analysis were: maternal education (OR: 2.96, 95% CI: 1.30–6.75), number of residents in the household (OR: 0.32, 95% CI: 0.14–0.74), number of children in the household (OR: 0.25, 95% CI: 0.10–0.61), and social class (OR: 2.30, 95% CI: 1.02–5.18). The only SDQ dimension that tended to be associated with malnutrition was conduct problems (P = 0.08). The disability associated with probable common maternal mental disorders (CMD) also showed statistically significant association (P = 0.02). In the logistic regression, child malnutrition remained associated with child conduct problems and disability associated with probable CMD.ConclusionsConduct problems in stunted children are positively associated with CMD and related disability. Longitudinal studies are necessary to confirm these hypotheses.Disclosure of interestThe authors have not supplied their declaration of competing interest.


2020 ◽  
Vol 46 (Supplement_1) ◽  
pp. S242-S242
Author(s):  
Keri Ka-Yee Wong ◽  
Marta Francesconi ◽  
Eirini Flouri

Abstract Background The prevalence of childhood psychopathology fluctuates across the lifespan, yet studies often adopt linear growth curve models (LGM) of estimation that assumes constant linear growth and do not account for the comorbidity between internalizing and externalizing behaviors in predicting later psychosis. This study tests whether internalizing and externalizing behaviors in early childhood (4–9 years) and adolescence (11–16 years) are best modelled by a two-part parallel piecewise growth model (2-PGM) or a single LGM (4–16 years) and whether specific developmental periods better predict psychotic-like experiences (PLEs) in adulthood (18 years). Methods Parent-rated child’s psychopathology on the Strengths and Difficulties Questionnaire (Goodman, 2006) at ages 4, 6, 8, 9, 11, 13, and 16 years from the Avon Longitudinal Study of Parents and Children were first modelled by a parallel LGM, then a 2-PGM, to predict clinician-rated adult PLEs. Models were re-run controlling for confounds assessed prior to age 4 years (i.e., child’s gender, verbal IQ, socioeconomic status, maternal education, prior diagnosis of mental health issues, and stressful life experiences at 42 months). Results Considering internalizing and externalizing problem behaviors in tandem, a 2-PGM fit the data better than a LGM (CFI/TLI = .97/.96, 2(129) = 781.63, p < .001, RMSEA = .033, 90%CI[.031-.035], WRMR = 1.32, N = 4717). Controlling for confounds, internalizing symptoms at baseline (b = .130, p = .004) and changes (b = .196, p < .001) in early childhood best predicted adult PLEs, but not changes in adolescent internalizing/externalizing symptoms. Females were more likely than males to be in the definite/suspected PLEs group at 18 years (b = .078, p = .006). Findings suggest that maternal reports of internalizing problem behaviors, particularly in primary school years, provide predictive utility of clinician-assessed PLEs. Discussion Using a 2-PGM technique may better identify important developmental windows of assessment and intervention for PLEs than LGM. Findings have important theoretical and practical implications for mental health research.


Author(s):  
Kalaiselvy Arikrishnan ◽  
Yuvaraj Krishnamoorthy ◽  
Gokul Sarveswaran ◽  
Marie Gilbert Majella ◽  
Deeparaj L ◽  
...  

AbstractObjectivesMost of the adult mental health disorder occurs either during childhood or adolescent stage. Assessment of positive mental health among adolescents will help in predicting the future physical and mental health outcome. Hence, this study was done to determine the prevalence and factors associated with positive mental health among adolescents in rural Puducherry.MethodsA cross-sectional study was conducted among adolescents (10–19 years) during April and May 2018. Mental Health Continuum-Short Form (MHC-SF), a validated questionnaire was used for the assessment of positive mental health. Prevalence of positive mental health was expressed as proportion with 95% confidence interval.ResultsOf the total 245 adolescents interviewed, almost half of them belonged to the age group of mid-adolescence (14–16 years). Majority (66.5%) were boys and more than one third were studying in secondary class.Prevalence of positive mental health was 51.8% (95% CI: 45.6–58.1). Mother’s education between primary and secondary (aPR-0.77 95% CI: 0.60–0.98), upper middle (aPR-1.74 95% CI: 1.03–2.94) and middle socioeconomic status (aPR-1.80 95% CI: 1.11–2.87) were significantly associated with positive mental health.ConclusionCurrent study found that more than half of the rural adolescents had positive mental health. Maternal education and upper socioeconomic status were found to be significant predictors of positive mental health. Our findings on the burden and risk factors as well as protective factors of mental health can contribute to the mental health strategy in public health action.


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