scholarly journals Prospective study on the association between dietary non-enzymatic antioxidant capacity and depressive symptoms

2020 ◽  
Vol 36 ◽  
pp. 91-98
Author(s):  
Takako Miki ◽  
Masafumi Eguchi ◽  
Takeshi Kochi ◽  
Shamima Akter ◽  
Huan Hu ◽  
...  
Bone ◽  
2016 ◽  
Vol 90 ◽  
pp. 31-36 ◽  
Author(s):  
Essi Hantikainen ◽  
Alessandra Grotta ◽  
Weimin Ye ◽  
Hans-Olov Adami ◽  
Pamela J. Surkan ◽  
...  

2012 ◽  
Vol 82 (3) ◽  
pp. 228-232 ◽  
Author(s):  
Mauro Serafini ◽  
Giuseppa Morabito

Dietary polyphenols have been shown to scavenge free radicals, modulating cellular redox transcription factors in different in vitro and ex vivo models. Dietary intervention studies have shown that consumption of plant foods modulates plasma Non-Enzymatic Antioxidant Capacity (NEAC), a biomarker of the endogenous antioxidant network, in human subjects. However, the identification of the molecules responsible for this effect are yet to be obtained and evidences of an antioxidant in vivo action of polyphenols are conflicting. There is a clear discrepancy between polyphenols (PP) concentration in body fluids and the extent of increase of plasma NEAC. The low degree of absorption and the extensive metabolism of PP within the body have raised questions about their contribution to the endogenous antioxidant network. This work will discuss the role of polyphenols from galenic preparation, food extracts, and selected dietary sources as modulators of plasma NEAC in humans.


Author(s):  
Padmini D. Ranasinghe ◽  
Jocelynn T. Owusu ◽  
Amanda Bertram ◽  
Henry Michtalik ◽  
Hsin-Chieh Yeh ◽  
...  

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Maaike Koning ◽  
Jacqueline Vink ◽  
Tommy L. S. Visscher ◽  
Junilla Larsen

Abstract Background Growing evidence suggests that maternal mental health issues are associated with (young) children’s weight outcomes. However, most studies have been limited by cross-sectional designs and have been aimed at (younger) children. The current prospective study focuses on the link between maternal mental health (i.e., psychological stress and depressive symptoms) and adolescents’ zBMI development. Methods The participants in the present study were part of wave 1 and 2 of a longitudinal study on Dutch adolescents’ and their parents’ health behavior. Adolescents (aged 10–14) and their parents were recruited through six secondary schools in the South and the East of the Netherlands. For this study, we only included biological mothers and their adolescent children who participated in both waves, with data on the main measures in both waves, leaving a final sample of 336 biological mother-child dyads. Adolescents height and weight were measured, and both parents and adolescents filled in validated questionnaires on perceived stress and depressive symptoms and answered additional questions concerning domain-specific stress. Regression analyses were performed in R to examine longitudinal links between maternal stress and depressive symptoms at baseline (T1) and adolescents’ BMI standard deviation scores (zBMI) 6 months later (T2), corrected for baseline zBMI and covariates. Results Maternal general perceived stress (β = .20, p = .002) at T1 preceded higher adolescents’ zBMI at T2, after controlling for baseline zBMI and other covariates, whereas maternal depressive symptoms at T1 (β = −.05, p = .44) and other domain-specific stress did not (maternal financial stress, maternal stress at work, maternal stress at home). Additionally, lower educational level among adolescents (β = .16, p = .001) and adolescent depressive symptoms (β = .16, p = .001) was associated with a higher zBMI at T2. Conclusions Results suggest that maternal general stress, but not depressive symptoms, may influence adolescents’ weight development. Our findings warrant future investigation on whether and how general stress among mothers may predict weight increases of their adolescent offspring.


2018 ◽  
Vol 21 (12) ◽  
pp. 1200-1205 ◽  
Author(s):  
Markus Gerber ◽  
Simon Best ◽  
Fabienne Meerstetter ◽  
Marco Walter ◽  
Sebastian Ludyga ◽  
...  

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