Assessment of Aflatoxins Exposure through Urinary Biomarker Approach and the Evaluation of the Impacts of Aflatoxins Exposure on the Selected Health Parameters of the Children of Multan City of Pakistan

Food Control ◽  
2021 ◽  
pp. 107863
Author(s):  
Usama Nasir ◽  
Iqra Naeem ◽  
Muhammad Asif ◽  
Amir Ismail ◽  
Yun Yun Gong ◽  
...  
2021 ◽  
Vol 13 (13) ◽  
pp. 7465
Author(s):  
Mujahid Ali ◽  
Afonso R. G. de Azevedo ◽  
Markssuel T. Marvila ◽  
Muhammad Imran Khan ◽  
Abdul Muhaimin Memon ◽  
...  

Since December 2019, the COVID-19 epidemic has been spreading all over the world. This epidemic has brought a risk of death in the daily activity (physical and social) participation that influences travellers’ physical, social, and mental health. To analyze the impact of the COVID-19-induced daily activities on health parameters of higher education institutes, 150 students of the Universiti Teknologi PETRONAS, Perak, Malaysia, were surveyed through an online web survey using random sampling techniques. The data were analyzed through RStudio and SPSS using multilevel linear regression analysis and Hierarchical Structural Equation Modeling. The estimated results indicate that restricting individuals from doing out-of-home activities negatively influences physical and social health. A unit increase in the in-home maintenance activities during the COVID-19 pandemic introduced a daily increase of 0.5% in physical health. Moreover, a unit increase in the in-home activities at leisure time represents a 1% positive improvement in social health. Thus, physical activity has proven to be beneficial in improving physical and social health with severe COVID-19. In contrast, the coefficient of determination (R2) for all endogenous variables ranges from 0.148 to 0.227, which is incredibly acceptable in psychological research. For a healthier society with a better quality of life, this study adopted multidisciplinary approaches that are needed to be designed.


2020 ◽  
Vol 23 (6) ◽  
pp. 330-337
Author(s):  
Olatz Mompeo ◽  
Rachel Gibson ◽  
Paraskevi Christofidou ◽  
Tim D. Spector ◽  
Cristina Menni ◽  
...  

AbstractA healthy diet is associated with the improvement or maintenance of health parameters, and several indices have been proposed to assess diet quality comprehensively. Twin studies have found that some specific foods, nutrients and food patterns have a heritable component; however, the heritability of overall dietary intake has not yet been estimated. Here, we compute heritability estimates of the nine most common dietary indices utilized in nutritional epidemiology. We analyzed 2590 female twins from TwinsUK (653 monozygotic [MZ] and 642 dizygotic [DZ] pairs) who completed a 131-item food frequency questionnaire (FFQ). Heritability estimates were computed using structural equation models (SEM) adjusting for body mass index (BMI), smoking status, Index of Multiple Deprivation (IMD), physical activity, menopausal status, energy and alcohol intake. The AE model was the best-fitting model for most of the analyzed dietary scores (seven out of nine), with heritability estimates ranging from 10.1% (95% CI [.02, .18]) for the Dietary Reference Values (DRV) to 42.7% (95% CI [.36, .49]) for the Alternative Healthy Eating Index (A-HEI). The ACE model was the best-fitting model for the Healthy Diet Indicator (HDI) and Healthy Eating Index 2010 (HEI-2010) with heritability estimates of 5.4% (95% CI [−.17, .28]) and 25.4% (95% CI [.05, .46]), respectively. Here, we find that all analyzed dietary indices have a heritable component, suggesting that there is a genetic predisposition regulating what you eat. Future studies should explore genes underlying dietary indices to further understand the genetic disposition toward diet-related health parameters.


2021 ◽  
Vol 196 ◽  
pp. 106335
Author(s):  
B.J. Campbell ◽  
C.H. Gelley ◽  
J.S. McCutcheon ◽  
F.L. Fluharty ◽  
A.J. Parker
Keyword(s):  

Author(s):  
Rachel Herold ◽  
Rachel Boykan ◽  
Allison Eliscu ◽  
Héctor E. Alcalá ◽  
Maciej L. Goniewicz

Nicotine and cannabis use are common among adolescents and may be associated with behavioral problems, poor academic outcomes and use disorders. The goals of this analysis were the following: (1) Describe the influence of friends’ nicotine and cannabis smoking and vaping on self-reported use. (2) Describe the relationship between friends’ nicotine and cannabis use on participants’ urinary biomarkers of nicotine (cotinine) and cannabis (11-nor-9-carboxy-Δ⁹tetrahydrocannabinol=THC-COOH). This is a secondary analysis of survey and biomarker data collected in adolescents aged 12–21 between April 2017 and April 2018, in Long Island, New York. Bivariate and multivariable analyses were conducted using SPSS 26. A cutoff value of ≥10 ng/mL was used to signify recent usage for urinary cotinine and THC-COOH levels. Over one-third of the 517 surveyed adolescents reported using tobacco and one-third reported using cannabis. A significant relationship between friends’ substance use and self-use was found. For both tobacco and cannabis, over 90% (p < 0.01) of participants with urinary biomarker levels above cutoff had friends who used the respective substance. Friends’ nicotine and friends’ cannabis use were each independently associated with urinary biomarker levels for those substances (for nicotine, beta = 88.29, p = 0.03; for cannabis, beta = 163.58, p = 0.03). Friends’ use of nicotine and cannabis is associated with adolescents’ intake, as well as the physiological exposure to those substances. These findings underscore the importance of including peer influence in the discussion with adolescents about tobacco and cannabis use.


2020 ◽  
Vol 326 ◽  
pp. 18-22 ◽  
Author(s):  
Jaroslav Mráz ◽  
Iveta Hanzlíková ◽  
Šárka Dušková ◽  
Monika Tvrdíková ◽  
Igor Linhart

2006 ◽  
Vol 48 (8) ◽  
pp. 771-779 ◽  
Author(s):  
Edward Anthony Emmett ◽  
Hong Zhang ◽  
Frances Susan Shofer ◽  
David Freeman ◽  
Nancy Virginia Rodway ◽  
...  

2013 ◽  
Vol 24 (11) ◽  
pp. 1880-1888 ◽  
Author(s):  
Conall M. O’Seaghdha ◽  
Shih-Jen Hwang ◽  
Martin G. Larson ◽  
James B. Meigs ◽  
Ramachandran S. Vasan ◽  
...  

2007 ◽  
Vol 33 (8) ◽  
pp. 1473-1473 ◽  
Author(s):  
Wei-Erh Cheng ◽  
Chuen-Ming Shih ◽  
Liang-Wen Hang ◽  
Kuen-Yuh Wu ◽  
Hsin-Ling Yang ◽  
...  

1990 ◽  
Vol 70 (4) ◽  
pp. 406-413 ◽  
Author(s):  
Linda P. Harriman ◽  
David A. Snowdon ◽  
Louise B. Messer ◽  
Del Marie Rysavy ◽  
Sharon K. Ostwald ◽  
...  

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