scholarly journals An Approach to Investigate Content-Related Quality of Nutraceuticals Used by Slovenian Consumers: A Case Study with Folate and Vitamin D Supplements

Foods ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 845
Author(s):  
Katja Žmitek ◽  
Sanja Krušič ◽  
Igor Pravst

A predisposition for the efficiency of nutraceuticals is that the product contains a sufficient quantity of a vitamin. Several studies have highlighted different quality issues. Our objective was to investigate whether the contents of the vitamins in selected types of food supplements were in accordance with labeling. We focused on two types of food supplements where content-related quality issues could result in public health risks: food supplements for supplementation with (a) folic acid (as 5-methyltetrahydrofolate (5-MTHF)) in pregnancy and (b) with vitamin D in the general population. The study was done on supplements from the global supply that are typically used by Slovenian consumers. We sampled one production batch of 30 different food supplements—six and 24 samples with 5-MTHF and cholecalciferol, respectively. We found samples with vitamin contents outside the 80–150% tolerance interval in both sets. Particularly, 5-MTHF was found to be more problematic, probably due to its lower stability. This study shows the need for better quality control. Quality control is needed during both the manufacturing process and product shelf lifetimes. Content quality should be also subject to external controls by authorities. Voluntarily quality control schemes would also enable consumers to identify products of sufficient quality.

2021 ◽  
Vol 49 ◽  
pp. 102760
Author(s):  
Steve Simpson-Yap ◽  
Pia Jelinek ◽  
Tracey Weiland ◽  
Nupur Nag ◽  
Sandra Neate ◽  
...  

2015 ◽  
Vol 172 (2) ◽  
pp. 181-187 ◽  
Author(s):  
Viveca Åberg ◽  
Sophie Norenstedt ◽  
Jan Zedenius ◽  
Maria Sääf ◽  
Jörgen Nordenström ◽  
...  

ObjectiveVitamin D insufficiency is common in primary hyperparathyroidism (pHPT). Patients with pHPT frequently have a reduced health-related quality of life (HRQoL). Our objectives were to evaluate whether HRQoL in pHPT is associated with vitamin D insufficiency and whether vitamin D supplementation after parathyroidectomy (PTX) could improve HRQoL.DesignA randomized, double-blind study (ClinicalTrials.gov identifier: NCT00982722).MethodsThe study included 150 pHPT patients randomized, 6 weeks after PTX, to daily treatment with either cholecalciferol 1600 IU and calcium carbonate 1000 mg (D+) or calcium carbonate alone (D−). HRQoL was estimated with SF-36 before and after PTX and after 12 months of study medication.ResultsThree-quarters (77%) of the pHPT patients had vitamin D insufficiency, defined as 25OHD <50 nmol/l. The pHPT patients scored lower than a reference population in all domains of SF-36. A total of 135 patients completed the entire study period. Improvements in nearly all domains were registered at the follow-up 6 weeks after PTX. At the end of the study medication period, the D+ group had a significantly higher median serum (s-) 25OHD concentration (76 (65; 93) (lower; upper interquartile ranges) vs 48 (40; 62) nmol/l, P<0.001) and a lower plasma (p-) parathyroid hormone concentration (40 (34; 52) vs 49 (38; 66) ng/l, P=0.01) than the D− group. The improvements in HRQoL remained unchanged at the follow-up 1 year after PTX. Postoperative vitamin D supplementation had no obvious effect on HRQoL.ConclusionPTX resulted in significant improvements in HRQoL. Despite a high prevalence of vitamin D insufficiency, 1 year of postoperative vitamin D supplementation had no obvious beneficial effect on HRQoL.


2011 ◽  
Vol 26 (11) ◽  
pp. 3683-3688 ◽  
Author(s):  
Shuchi Anand ◽  
George A. Kaysen ◽  
Glenn M. Chertow ◽  
Kirsten L. Johansen ◽  
Barbara Grimes ◽  
...  

2019 ◽  
Vol 18 ◽  
pp. 153473541882205 ◽  
Author(s):  
M. Robyn Andersen ◽  
Erin Sweet ◽  
Shelly Hager ◽  
Marcia Gaul ◽  
Fred Dowd ◽  
...  

Background: Vitamin D supplements may prevent recurrence, prolong survival, and improve mood for women with breast cancer, although evidence for these effects is preliminary. Methods: This report describes vitamin D supplement use by 553 breast cancer patient/survivors (193 who used a naturopathic oncology [NO] provider and 360 who did not) participating in a matched cohort study of breast cancer outcomes. Results: We found that more than half of breast cancer patients reported using vitamin D supplements. Women who received care from NO providers in early survivorship may be more likely to use vitamin D supplements ( P < .05). Approximately 30% of breast cancer patients with blood levels recorded in their medical chart were potentially vitamin D deficient (<30 ng/mL). Vitamin D supplement use at study enrollment was associated with higher levels of self-reported health-related quality of life (HRQOL) at enrollment ( P < .05) and predicted better HRQOL at 6-month follow-up ( P < .05). Sufficient blood levels of vitamin D recorded between enrollment and follow-up were also associated with better HRQOL at follow-up ( P < .05). Conclusions: Vitamin D supplementation by breast cancer patients is common both during and after treatment for breast cancer, but deficiency may also be common. NO and conventional providers may be able to promote vitamin D sufficiency through vitamin D supplementation and by encouraging healthy solar exposure. Further studies should be undertaken examining whether vitamin D supplementation and higher blood levels might improve HRQOL among women with breast cancer in early survivorship.


2020 ◽  
Vol 75 ◽  
pp. 109-118
Author(s):  
Lena E Granlund ◽  
Anna K Ramnemark ◽  
Christer Andersson ◽  
Marie C Lindkvist ◽  
Margareta Norberg ◽  
...  

2018 ◽  
Vol 50 (5S) ◽  
pp. 729-730 ◽  
Author(s):  
Kelly A. Dougherty ◽  
Chiara Bertolaso ◽  
Joan I. Schall ◽  
Kim Smith-Whitley ◽  
Virginia A. Stallings

PLoS ONE ◽  
2017 ◽  
Vol 12 (4) ◽  
pp. e0176264 ◽  
Author(s):  
Agnieszka Kempinska-Podhorodecka ◽  
Malgorzata Milkiewicz ◽  
Dariusz Jabłonski ◽  
Piotr Milkiewicz ◽  
Ewa Wunsch

2012 ◽  
Vol 18 (1) ◽  
pp. 8-14
Author(s):  
Ayse Kutlu ◽  
Gözde D. Görür ◽  
Hüsnü Efendi ◽  
Halil Ünalan ◽  
Sezer Şener Komsuoğlu

2021 ◽  
Author(s):  
Francesco Battocchio ◽  
Jaijith Sreekantan ◽  
Arghad Arnaout ◽  
Abed Benaichouche ◽  
Juma Sulaiman Al Shamsi ◽  
...  

Abstract Drilling data quality is notoriously a challenge for any analytics application, due to complexity of the real-time data acquisition system which routinely generates: (i) Time related issues caused by irregular sampling, (ii) Channel related issues in terms of non-uniform names and units, missing or wrong values, and (iii) Depth related issues caused block position resets, and depth compensation (for floating rigs). On the other hand, artificial intelligence drilling applications typically require a consistent stream of high-quality data as an input for their algorithms, as well as for visualization. In this work we present an automated workflow enhanced by data driven techniques that resolves complex quality issues, harmonize sensor drilling data, and report the quality of the dataset to be used for advanced analytics. The approach proposes an automated data quality workflow which formalizes the characteristics, requirements and constraints of sensor data within the context of drilling operations. The workflow leverages machine learning algorithms, statistics, signal processing and rule-based engines for detection of data quality issues including error values, outliers, bias, drifts, noise, and missing values. Further, once data quality issues are classified, they are scored and treated on a context specific basis in order to recover the maximum volume of data while avoiding information loss. This results into a data quality and preparation engine that organizes drilling data for further advanced analytics, and reports the quality of the dataset through key performance indicators. This novel data processing workflow allowed to recover more than 90% of a drilling dataset made of 18 offshore wells, that otherwise could not be used for analytics. This was achieved by resolving specific issues including, resampling timeseries with gaps and different sampling rates, smart imputation of wrong/missing data while preserving consistency of dataset across all channels. Additional improvement would include recovering data values that felt outside a meaningful range because of sensor drifting or depth resets. The present work automates the end-to-end workflow for data quality control of drilling sensor data leveraging advanced Artificial Intelligence (AI) algorithms. It allows to detect and classify patterns of wrong/missing data, and to recover them through a context driven approach that prevents information loss. As a result, the maximum amount of data is recovered for artificial intelligence drilling applications. The workflow also enables optimal time synchronization of different sensors streaming data at different frequencies, within discontinuous time intervals.


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