Food Monitoring Data Research Articles

Recognizing and Predicting the Risk of Malnutrition in the Elderly Using Artificial Intelligence: A Systematic Review

The global population is aging at an alarming rate, endangering conventional care models that have always relied on in-person supervision. Elderly malnutrition has been found to be a serious health problem associated with health deterioration, which has several, immediate effects on everyday activities and standard of living. Deficiency in nutrients is a frequent and serious concern in older adults and might have an impact on the emergence of geriatric diseases. The two most obvious indicators of malnutrition in the elderly include unintentional weight loss and a lower value of the body mass index (BMI). However, non-symptomatic or unnoticed insufficiencies, such as lower than expected level of different crucial micronutrients, which are quite challenging to diagnose and are typically disregarded among older residents of their communities. Artificial intelligence (AI) permeates every aspect of human existence. The current systematic review looks at how AI-based technology is currently being used and how it affects elderly malnutrition. Using the following keywords, computerized literature searches of many reliable data bases were used to compile relevant published articles: malnutrition, artificial intelligence (AI), machine learning (ML), elderly nutrition, risk factors of malnutrition among the elderly, chronic diseases, elderly. Prospective studies with original data were chosen, and their significant findings were integrated into the analysis of the state of malnutrition at the moment. In conclusion, it is challenging to deploy AI-based food and nutrient intake monitoring data because no single program is suitable for all international cuisines and eating customs. Geographic variations in the dietary habits of the population make it challenging to compile the necessary data sets for deep learning. Furthermore, even within a same region, hospital menus differ from patient to patient. It is suggested that meals served in hospitals under the same management be standardized to facilitate the procedure.

Applicability of Food Monitoring Data for Assessing Relative Exposure Contributions of Pyrethroids in Retrospective Human Biomonitoring Risk Estimations.

The use of pyrethroids is very broad and shows increasing trends. Human biomonitoring studies represent the best approach for realistic risk estimations, but their interpretation requires a tiered approach. A previous HBM4EU study indicated levels in European children groups just around the threshold for concern, requiring further refinement. The main difficulty is that several pyrethroids with different toxicity potencies generate the same urinary metabolites. As diet is the main pyrethroid source for the general population, EU food monitoring data reported by EFSA have been used to estimate the relative contribution of each pyrethroid. The main contributors were cypermethrin for DCCA and 3-PBA and lambda-cyhalothrin for CFMP. Urinary levels predicted from food concentration according to the EFSA diets were mostly within the range of measured levels, except 3-PBA and CFMP levels in children, both below measured levels. The predicted lower levels for 3-PBA can be explained by the very low Fue value, initially proposed as conservative, but that seems to be unrealistic. The discrepancies for CFMP are mostly for the highest percentiles and require further assessments. The refined assessments included the revision of the previously proposed human biomonitoring guidance values for the general population, HBM-GV Gen Pop, following recent toxicological reevaluations, and the estimation of hazard quotients (HQs) for each individual pyrethroid and for the combined exposure to all pyrethroids. All HQs were below 1, indicating no immediate concern, but attention is required, particularly for children, with HQs in the range of 0.2-0.3 for the highly exposed group. The application of probabilistic methods offers assessments at the population level, addressing the variability in exposure and risk and providing relevant information for Public Health impact assessments and risk management prioritization.

Harmonized approach to estimate the burden of disease of dietary exposure to four chemical contaminants - A French study

Exposure to chemical contaminants found in foods has been associated with various adverse health effects. Burden of disease studies are increasingly used to estimate the public health impact of such exposures. The aims of this study were to estimate the burden of disease due to dietary exposure to four chemicals in France in 2019 (lead (Pb), cadmium (Cd), methylmercury (MeHg), and inorganic arsenic (i-As)), and to develop harmonized methods that can be applied for other chemicals and countries. We used national food consumption data from the third French national food consumption survey, chemical food monitoring data from the Second French Total Diet Study (TDS), dose-response data and disability weights from scientific literature, and disease incidence and demographics from national statistics. We adopted a risk assessment approach to estimate disease burden, incidence, mortality, and Disability-Adjusted Life Years (DALYs) attributable to dietary exposure to the chemicals. In all models, we harmonized food classification and exposure assessment. We propagated uncertainty through the calculations using Monte Carlo simulation. We estimated that, among these chemicals, i-As and Pb were responsible for the highest disease burden. i-As was estimated to cause 820 DALYs, or approximately 1.25 DALYs per 100,000 inhabitants. The estimated burden of Pb was 1834 to 5936 DALYs, or 2.7 (lower bound) to 8.96 (upper bound) DALYs/100,000. The burden of MeHg (192 DALYs), and Cd (0 DALY) was substantially lower. The foods contributing most to disease burden was drinks (30 %), “other foods” (mostly composite dishes) (19 %), and fish and seafood (7 %). Interpretation of estimates needs to consider all underlying uncertainties, linked with data and knowledge gaps. The harmonized models are the first to make use of data from TDS, which are available in several other countries. Thus, they can be applied to estimate the burden and to rank food-associated chemicals at national level.

Cumulative dietary risk assessment of pesticides in food for the Danish population for the period 2012-2017.

The cumulative chronic dietary exposure for the Danish population were assessed using Danish food monitoring data for the period 2012-2017 and Danish food consumption data for the consumer groups children (age 1-2, age 4-6 and age 7-14 years), adults age 15-75, high consumers and consumers eating Danish produced fruit and vegetables whenever possible. Levels below the Limit of Reporting (LOR) were set to ½ LOR with correction. For risk assessment of the cumulative chronic dietary exposure we used the Hazard Index (HI) method where the Hazard Quotient (HQ) was calculated for each pesticide and summed up to a HI. The HI was calculated to be below 1 for all consumer groups; i.e. 0.36 for children age 4-6 years and 0.13 for adults, indicating that the cumulative chronic dietary pesticide exposure is unlikely to constitute a health risk for Danish consumers, even for high consumers eating 600g or more of fruit and vegetables each day. By eating Danish produced commodities whenever possible, the HI was reduced by a factor of one third for both children and adults. 25 different commodities contributed to about 90% of the HI and to 84% of the exposure.

Improving the Risk Assessment of Pesticides through the Integration of Human Biomonitoring and Food Monitoring Data: A Case Study for Chlorpyrifos.

The risk assessment of pesticide residues in food is a key priority in the area of food safety. Most jurisdictions have implemented pre-marketing authorization processes, which are supported by prospective risk assessments. These prospective assessments estimate the expected residue levels in food combining results from residue trials, resembling the pesticide use patterns, with food consumption patterns, according to internationally agreed procedures. In addition, jurisdictions such as the European Union (EU) have implemented large monitoring programs, measuring actual pesticide residue levels in food, and are supporting large-scale human biomonitoring programs for confirming the actual exposure levels and potential risk for consumers. The organophosphate insecticide chlorpyrifos offers an interesting case study, as in the last decade, its acceptable daily intake (ADI) has been reduced several times following risk assessments by the European Food Safety Authority (EFSA). This process has been linked to significant reductions in the use authorized in the EU, reducing consumers’ exposure progressively, until the final ban in 2020, accompanied by setting all EU maximum residue levels (MRL) in food at the default value of 0.01 mg/kg. We present a comparison of estimates of the consumer’s internal exposure to chlorpyrifos based on the urinary marker 3,5,6-trichloro-2-pyridinol (TCPy), using two sources of monitoring data: monitoring of the food chain from the EU program and biomonitoring of European citizens from the HB4EU project, supported by a literature search. Both methods confirmed a drastic reduction in exposure levels from 2016 onwards. The margin of exposure approach is then used for conducting retrospective risk assessments at different time points, considering the evolution of our understanding of chlorpyrifos toxicity, as well as of exposure levels in EU consumers following the regulatory decisions. Concerns are presented using a color code, and have been identified for almost all studies, particularly for the highest exposed group, but at different levels, reaching the maximum level, red code, for children in Cyprus and Israel. The assessment uncertainties are highlighted and integrated in the identification of levels of concern.

Aggregated transfer factor of 137Cs in edible wild plants and its time dependence after the Fukushima Dai-ichi nuclear accident

We obtained the aggregated transfer factor (Tag) for 10 common edible wild plant species (four perennial spermatophytes, bamboo shoot, two tree species, and three perennial pteridophytes) in northeastern Japan. Measurement of Tag was carried out in 2012–2019 and we also used publicly available data for 2012–2019: food monitoring data and total deposition data from an airborne survey. The Tag obtained from actual measurements agreed well with Tag values calculated from the publicly available data. The sampling locations were only identified at the municipal level and uncertainty of the deposition for the publicly available data, and thus Tag values showed substantial variation. The Tag of the perennial spermatophytes, including bamboo shoot, and perennial pteridophytes showed single exponential decline with effective half-lives of approximately 2 years, whereas those of tree species did not show distinct temporal change. These results imply that data since 2014 are applicable for Tag estimation for long-term potential ingestion dose in the future to the public because of the slow decline. The calculated Tag values of all species for 2014–2019 ranged from 6.1 × 10−5 to 5.2 × 10−3 m2/kg-fresh mass. The maximum Tag value was observed for the tree koshiabura (Chengiopanax sciadophylloides) and the minimum value was observed for the perennial spermatophyte giant butterbur (Petasites japonica). Tree species showed higher Tag than spermatophyte and pteridophyte perennials.

Considerations on Food Materials that Exceeded the Standard Limits of Radiocaesium with Time: Use of Food Monitoring Data

Considerations on Food Materials that Exceeded the Standard Limits of Radiocaesium with Time: Use of Food Monitoring Data

Burden of Disease of Dietary Exposure to Four Chemical Contaminants in Denmark, 2019

Exposure to chemical contaminants found in foods has been associated with diverse adverse health effects. The aim of this study was to estimate the burden of disease associated with dietary exposure to four chemicals in Denmark in 2019: lead (Pb), cadmium (Cd), methylmercury (MeHg), and inorganic arsenic (i-As). We collected national food consumption and chemical food monitoring data from Danish databases, dose-response and severity data from the scientific literature, and disease incidence and population numbers from national statistics. We adopted a risk assessment approach to estimate disease burden, quantifying incidence, mortality, and Disability-Adjusted Life Years (DALYs) attributable to dietary exposure to the chemicals. In all models, we propagated uncertainty around the input parameters through the calculations using Monte Carlo simulation. We estimated that, among these chemicals, Pb and MeHg were responsible for the highest disease burden. MeHg led to the loss of nearly 600 healthy life years, or approximately 10 DALYs per 100,000 inhabitants. Dietary exposure to Pb was estimated to cause 383 to 1,261 DALYs, corresponding to 6.6 (lower bound) to 22 (upper bound) DALYs/100,000 per year. The foods contributing most to disease burden were fish (MeHg) and sweets, fruit, and bread and cereals (Pb). The burden attributed to dietary exposure to i-As (5 DALYs) and Cd (0.04 DALY) was substantially lower. Interpretation of estimates needs to consider all underlying uncertainties, linked with data and knowledge gaps. These estimates are useful supplements to traditional risk assessment to guide food safety interventions and inform dietary guidelines for different population groups.

Estimating of internal radiation doses due to food consumption and its reduction applying the food regulation after the Fukushima nuclear accident using national food-monitoring data

Estimating of internal radiation doses due to food consumption and its reduction applying the food regulation after the Fukushima nuclear accident using national food-monitoring data

Occurrence and dietary exposure assessment of pentachlorophenol in livestock, poultry, and aquatic foods marketed in Guangdong Province, China: Based on food monitoring data from 2015 to 2018.

As a persistent organic pollutant, pentachlorophenol (PCP) has serious impacts on human health. However, its presence in animal source food products sold in the Guangdong Province (GD) of China, and the resultant dietary exposure have not been elucidated. To address this gap, 3,100 samples from seven food categories, including beef, pork, mutton, offals, broilers, hen eggs, and farmed freshwater fish, marketed throughout four geographical regions of GD, were collected from 2015 to 2018. Gas chromatography coupled with mass spectrometry was employed to detect PCP levels in these food matrices. PCP was found in all food categories, but the average contamination levels were low, ranging from 0.40µg/kg wet weight (ww) (hen eggs) to 5.85µg/kg ww (offals). However, higher concentrations of PCP were detected (P <0.05) in animal source food from the North region. Additionally, a temporal declining trend was observed in this four-year consecutive survey. The estimated human dietary exposure of PCP to population groups, including the general population and subgroups (male and female, children, and adults), was found to be far below the permissible daily intake (3µg/kg body weight). Therefore, the health impacts of PCP should be correspondingly low for local residents, based on current toxicological knowledge. Regional exposure patterns varied due to different extents of contamination in the four areas, and pork, broilers, and freshwater fish were the major sources of dietary PCP exposure. PRACTICAL APPLICATION: As a persistent organic pollutant, pentachlorophenol (PCP) has serious impacts on human health. However, its presence in animal source food products sold in Guangdong Province of China, and the resultant dietary exposure have not been elucidated. In this study, we conducted an in-depth investigation on the occurrence of PCP in major foodstuff categories, including beef, pork, mutton, broilers, offals, hen eggs, and farmed freshwater fish, marketed in all 21 prefecture-level divisions of Guangdong Province, in order to provide integral insights for regulatory authorities.

Estimation of internal radiation exposure during 9 years after Fukushima nuclear accident using National food-monitoring data in Japan

Purpose: To clarify public health mitigations to reduce ingestion dose after the nuclear accident by demonstrating the trends in official radiological food monitoring data from the national food surveillance program during the first nine years after the Fukushima nuclear accident.Methods: 2,524,369 food samples have been officially submitted to the Ministry of Health, Labour and Welfare for monitoring during the first nine years after the Fukushima Nuclear Accident as of 25 December 2019 since March 2011. Among them exceeded samples were 6,577. Radiation doses were estimated using ingestion rates based on the Japanese National Food Consumption Survey dataset (N = 6,962) using a Monte Carlo method.Results: Assuming that food restrictions were fully implemented and using the national mean food consumption data, the 95 percentile of the effective doses to adult males from dietary exposures was 110 µSv reducing 108 µSv in 2011 and 36 µSv reducing 1 µSv in 2019. The 99.99 percentile of the effective doses to adult males from dietary exposures was 943 µSv reducing 3,608 µSv in 2011 and 206 µSv reducing 54 µSv in 2018.Discussion: The effect of public health mitigation on radiation food safety has been changing during the first nine years after the Fukushima accident. The 99.99 percentile of the effective doses was below the standard limit even if the regulation was not applied in 2019.Conclusions: We confirmed the improving internal radiation dose trend with the official national food surveillance system data from the first nine years after the Fukushima nuclear accident. We expect that the food contamination levels will continue to decrease over time.

What makes digital health intrusive? Qualitative findings from an international study on diabetes

Abstract Background Remote digital monitoring (RDM, i.e., using digital devices to monitor patients' health and behavior) is a novel care model that can improve health outcomes for people with chronic conditions. However, it could be intrusive to patients' lives. We sought to understand which aspects of RDM make it intrusive to patients and why. Methods We performed content analysis of qualitative data collected by using open-ended questions in an international, online survey with a convenience sample of adults with type 1 or 2 diabetes (February-July 2019). Participants were first shown scenarios describing possible RDM features (i.e. different RDM tools [for glucose or food monitoring], feedback loops [receiving feedback in consultation, or remotely by a physician, or by artificial intelligence], and data handling options [by the public or private sector]). Results We analyzed data from 709 participants from 24 countries (38% men, median age 38, 54% type 1). Participants found RDM burdensome (n = 468). Burden arose from RDM features that caused disruption in daily life (e.g., alerts), features that may invite undesirable attention in public (e.g., visible wearable sensors may invite questions about one's health), or from having to adapt one's life to fit in RDM (e.g., adapt one's mealtime routine around food monitoring). Participants wanted control, particularly over sharing food-monitoring data with health care professionals in real-time to receive feedback (n = 440). They felt RDM could expose a delicate topic to 'surveillance' by authority figures (i.e., their data may 'reveal' poor dietary habits, leading to criticism by physicians). Intrusion could take the form of RDM eroding the patient-physician relationship (n = 34), or fear of data misuse (n = 206), which was associated with private-sector financial interests. Conclusions Our findings offer directions for minimally intrusive RDM design and show that digital health may cause concerns about stigma and treatment burden. Key messages Remote digital monitoring is intrusive when it increases treatment burden and limits patients’ control over their own health. “Minimally intrusive” digital health design could increase patient acceptability and, ultimately, foster scalability.

Probabilistic cumulative dietary risk assessment of pesticide residues in foods for the German population based on food monitoring data from 2009 to 2014

Cumulative dietary risks for the German population owing to pesticide residues in foods were assessed using food monitoring and consumption data. Based on grouping principles for cumulative assessment groups (CAG) as defined by the European Food Safety Authority, probabilistic modelling gave cumulative long- and short-term dietary exposures relevant to the nervous and thyroid system. Compound specific toxicological reference values were considered to assess the total margins of exposure (MoEs) for each CAG, allowing an assessment of the cumulative dietary consumer risk. For the German population, no public health concerns were identified for 6 of 11 CAGs. For three CAGs high uncertainties remained, since MoEs were less than the usually required threshold of 100 for the upper confidence interval of the modelling uncertainty. For two CAGs relevant to the nervous and thyroid system, possible health risks cannot be excluded with the selected approach. Most potent risk drivers were chlorpyrifos and the group of dithiocarbamates (expressed as propineb). For regulatory decisions on possible cumulative dietary health risks the limitations of the published approaches and the absence of harmonized data sources for robust refinements have to be considered. Future research to reduce this high uncertainty is considered necessary in this area.

Characteristics of radiocesium contaminations in mushrooms after the Fukushima nuclear accident: evaluation of the food monitoring data from March 2011 to March 2016.

The monitoring inspection of food after the Fukushima nuclear accident (2011) was essential for ensuring food safety in Japan and reducing the adverse health effects due to incorporation of inacceptable amounts of radionuclides, in particular radiocesium (134Cs and 137Cs). In this study, the mushroom fraction of the governmental data set of the first 5years after the accident has been analyzed for contamination levels in mushrooms, in particular time trends and radioecological characteristics as well as associated health risks. The analyses show that mycorrhiza mushrooms are much more sensitive for radionuclide uptake than saprobiontic mushrooms (the latter of which include the very popular shiitake mushrooms (Lentinula edodes)). The maximum value reached 31,000Bq/kg in a sample of apricot milkcaps in 2012. Analysis of the origin of the samples revealed that the origin (in terms of prefecture) of the mushrooms was a less determining factor for the contamination level than the type of mushrooms, as most exceedances in 2012 and thereafter were found outside Fukushima Prefecture. Several dose models were applied to the data to evaluate both worst case and realistic effective committed dose scenarios. The doses were generally rather low due to low consumption rates in the Japanese food basket. In any case, the analysis proved that the food monitoring campaign was highly effective in cutting doses to the public by more than a factor of 10 compared with a hypothetical scenario in which no monitoring had been conducted.

Probabilistic dietary risk assessment of pesticide residues in foods for the German population based on food monitoring data from 2009 to 2014

Dietary risks for the German population owing to pesticide residues in foods were assessed based on food monitoring data, consumption surveys for children and adults and compound specific toxicological reference values or general thresholds of toxicological concern. A tiered probabilistic modelling was conducted to screen 700 pesticides for significant long- and short-term dietary exposures. Especially for the short-term dietary exposure, the probabilistic methodology used allows simultaneous consideration of the complete daily consumption, whereas most regulatory bodies still rely on single commodity approaches. After screening, refined exposure assessments were conducted for 19 compounds under consideration of conversion factors for toxicologically relevant metabolites, processing information, experimentally derived variability factors and the edible portion for each food item. In total, for 693 compounds the dietary exposure was unlikely to present a chronic or acute public health concern for the German population. In contrast, the refined assessments indicate that the short-term dietary exposure for chlorpyrifos and the cumulative short-term dietary exposure for dimethoate and omethoate may present a public health concern. For copper, owing to exposure assessment limitations, as well as for dimethylvinphos, halfenprox and tricyclazole, which exceeded the thresholds of toxicological concern, the dietary risk assessment remained inconclusive.

Radiocaesium contamination of bamboo shoots in Fukushima and surrounding regions after the Fukushima nuclear accident

Radiocaesium contamination of bamboo shoots was characterised using food monitoring data from 2011 to 2015 in Fukushima and surrounding prefectures in Japan. Though 134Cs + 137Cs activity concentration data on bamboo shoots exhibited a large variability in each prefecture and year, annual means of the activity concentrations gradually decreased with time. Until 2012 or 2013, some activity concentration data in each prefecture exceeded the regulatory limits for food in Japan, with the highest measurement of 3 100 Bq kg−1 fresh weight, and thereafter almost no data exceeded the limit. This activity concentration decrease was slower than that in farmed foods.

Effective and ecological half-lives of 90Sr and 137Cs observed in wheat and rice in Japan.

Published pre-Fukushima food monitoring data from 1963 to 1995 were used to study the long-term presence of 137Cs and 90Sr in rice and wheat. Effective half-lives (Teff) were calculated for rice (137Cs: 5.6 years; 90Sr: 6.7 years) and wheat (137Cs: 3.5 years; 90Sr: 6.2 years), respectively. In rice, 137Cs exhibits a longer Teff because putrefaction processes will lead to the formation of NH4+ ions that are efficient ion exchangers for mineral-adsorbed cesium ions, hence making it more readily available to the plant. Knowledge on the long-term behavior of radiocesium and radiostrontium will be important for Japanese food-safety campaigns after the Fukushima nuclear accident.

Effective half-lives of 137Cs from persimmon tree tissue parts in Japan after Fukushima Dai-ichi Nuclear Power Plant accident

To estimate the radiocesium decreasing rates from persimmon trees during a period of about 3 y following the accident at Tokyo Electric Power Company's Fukushima Dai-ichi Nuclear Power Plant (FDNPP), we conducted measurements of tree tissue parts collected in 2011–2013. The sampling was carried out in Chiba, 220 km south of FDNPP; radioactive fallouts discharged from FDNPP had mainly been observed in March–April 2011 on the sampling site. We measured 137Cs concentrations in the tree tissue parts, i.e., fruits (flesh, skin and seeds), leaves and newly emerged branches, and then the effective half-lives (Teff) of 137Cs were calculated. Leaf samples were classified into two types by sampling months according to the growing stages, that is, immature (April–May) and mature (June–November) leaves. All these parts showed exponential declines in 137Cs concentration with good adjusted contribution ratios of higher than ca. 0.7. The calculated Teff values from all tissue parts were similar with the average of 229 d (range: 216–243 d). From these results, we concluded that each tree tissue was representative for the calculation of Teff. For comparison to these observation results, open source food monitoring data from 2011 to 2013 including 137Cs data for persimmon fruits collected in Fukushima Prefecture were used to calculate Teff for persimmon trees. Values of Teff were obtained for persimmon fruits grown in each local government area in Fukushima Prefecture and they ranged from 303 to 475 d.

Phthalates and Diet: a Review of the Epidemiology and Food Monitoring Data

Background: Phthalates are associated with a variety of health outcomes, but dietary sources that may be targeted for exposure reduction remain elusive. A summary of phthalate monitoring food surve...

Cumulative dietary exposure to a selected group of pesticides of the triazole group in different European countries according to the EFSA guidance on probabilistic modelling

The practicality was examined of performing a cumulative dietary exposure assessment according to the requirements of the EFSA guidance on probabilistic modelling. For this the acute and chronic cumulative exposure to triazole pesticides was estimated using national food consumption and monitoring data of eight European countries. Both the acute and chronic cumulative dietary exposures were calculated according to two model runs (optimistic and pessimistic) as recommended in the EFSA guidance. The exposures obtained with these model runs differed substantially for all countries, with the highest exposures obtained with the pessimistic model run. In this model run, animal commodities including cattle milk and different meat types, entered in the exposure calculations at the level of the maximum residue limit (MRL), contributed most to the exposure. We conclude that application of the optimistic model run on a routine basis for cumulative assessments is feasible. The pessimistic model run is laborious and the exposure results could be too far from reality. More experience with this approach is needed to stimulate the discussion of the feasibility of all the requirements, especially the inclusion of MRLs of animal commodities which seem to result in unrealistic conclusions regarding their contribution to the dietary exposure.