DOI: 10.31038/NDN.2019112

Abstract

Background: Head and neck cancer (HNC) patients experience significant weight loss before diagnosis, during and after treatment, and even during the first year of follow-up. However, the prognostic value of weight loss depends on body mass index, and this may be associated with low skeletal muscle mass, masking its loss. Thus, body composition changes occurring during HNC management warrant further investigation.

Objective: The aim of this scoping review was to evaluate body composition changes and the methods to assess it in HNC patients under oncological treatment with curative intent.

Inclusion Criteria: All published studies in English, Spanish and Portuguese during 2000-2019 focusing on body composition changes in HNC patients aged 18 years or older in the context of treatment with curative intent were considered. Surgical treatment approach was excluded to avoid excess heterogeneity. A three-step search strategy was undertaken.

Presentation of results: HNC patients suffer from serious loss of lean body mass, skeletal muscle or free fat mass after treatment compared with baseline. This can be demonstrated either by triceps skin fold thickness, bioelectrical impedance analysis, dual-energy x-ray absorptiometry or computed tomography. Nutritional deterioration occurs up to 8-12 months after treatment and has a remarkable impact on survival, quality of life, and risk for complications.

Conclusion: HNC patients experience a significant depletion of lean body mass, fat-free mass and skeletal muscle, accompanied by body fat mass, while undergoing (chemo) radiotherapy. Bioelectrical impedance analysis seems to be a feasible body composition assessment tool as it is inexpensive and non-invasive and usually readily available.

Keywords

Head and Neck Cancer, Body Composition, Skeletal Muscle, Lean Body Mass, Adipose Tissue, Fat Free Mass

Background

Head and neck cancer (HNC) is a term that refers to a heterogenous group of cancers that occur in the upper aerodigestive tract i.e. oral cavity, pharynx, larynx, paranasal sinuses, nasal cavity or salivary glands [1, 2]. Certain subtypes of these cancers demonstrate a strong increasing incidence and in general they are related to a low survival outcome. The most frequently found risk factors for HNC are the use of alcohol, tobacco, human papillomavirus (HPV)/Epstein-Barr virus (EBV) infection and poor oral hygiene³. Given their complexity and location, interference with the anatomical and physiological characteristics, the tumors and their treatment are able to promote aesthetic alterations and disturbance of functions such as phonation, swallowing, hearing and breathing [2, 4]. Dysphagia (difficulty in swallowing) is a prevalent risk factor for morbidity prior, during and following oncological treatment for HNCs, affecting most patients at some stage over the course of treatment, and is often rated as the most significant factor affecting quality of life amongst HNC survivors [1, 5]. Prior to treatment, HNC patients may experience swallowing dysfunction due to pain, obstruction or an uncoordinated swallowing mechanism[5], contributing to insufficient dietary intake, which may occur if the estimated energy intake is <60% of the individual requirement for more than 1 and 2 weeks [6]. However, not only the location of the tumor may result in problems in eating and drinking, but the cancer treatments (surgery and (chemo)radiotherapy either alone or in combination) also cause, in addition to dysphagia, alterations in swallowing function, which may persist for several months or even years, as xerostomia, thick saliva, difficulty in chewing, anorexia and nausea/vomiting [1-8]. These symptoms, either related to the acute toxicity or the anatomic changes caused by these treatments, may exacerbate nutrition deterioration by compromising dietary intake [2]. Even partial reduction in dietary intake (i.e. daily deficit >25%, >50%, or >75% of energy requirements) results in large caloric deficits over time, and the expected duration, as well as the degree of depletion of body reserves, should be considered. Both conditions result in weight loss and, consequently, in body mass index (BMI) reduction, which may be severe [6]. Apparently, age, race, gender, smoking and alcohol consumption, and radiation dose, do not independently predict severe weight loss [7]. The negative energy balance and skeletal muscle mass (SMM) loss observed in cancer patients is driven by a combination of reduced food intake and metabolic derangements (e.g. elevated resting metabolic rate, insulin resistance, lipolysis, and proteolysis which aggravate weight loss and are caused by systemic inflammation and catabolic factors), which may be host- or tumor-derived [6].

When compared with other cancer-patient populations, patients with HNC have the second highest prevalence of malnutrition, after upper gastrointestinal tract cancer patients [9]: 20-67% are malnourished or at high risk of becoming malnourished at diagnosis [7] and this will worsen throughout the treatment [2]. Significant weight loss (i.e., the involuntary weight loss of 5% body weight in 1 month or 10% in 6 months)[10]  is a common phenomenon before HNC diagnosis, during and after treatment, and occurs for up to a year following treatment [7]. A meta-analysis conducted by Couch et al. (2015) showed a relation between the extent and prevalence of weight loss and the location and stage of the tumor. Patients with advanced-stage HNC (stage III/IV) experience weight loss significantly more often when compared with those with early-stage (stage I/II) disease [10]. Weight loss alone is often the most common clinical measurement of cachexia [10] and forms one of the independent negative prognostic factors [2] for HNC patients, having a negative impact on quality of life (QOL) and morbidity as well [10]. Cancer cachexia is a term that refers to a multifactorial syndrome defined by an ongoing loss of SMM (with or without loss of fat mass) unable to be fully reversed by conventional nutritional support and leading to progressive functional impairment [11]. An early detection of malnutrition aims to improve oncological outcomes, and minimize acute toxicities, treatment interruptions and enhance survival [2]. Body composition (BC) has gained increasing interest in oncology and refers to the amount and distribution of lean tissue and adipose tissue in the human body [12]. The published studies have shown the importance of the changes in BC in various cancer patients [2] and more specifically loss of SMM, with or without loss of fat has proven to be a significant parameter [8]. Further, muscle loss determines the limiting dose of some antineoplastic drugs due to high distribution volume in adipose tissue, resulting in a slower drug elimination [2], and in a higher chemotherapy toxicity, and increase in mortality [8]. Different parameters can be used to assess BC, but the best-known parameter is BMI [12]. However, the role of this anthropometric tool is still unclear in HNC patients [8]. In recent years, several studies have shown a clear dissociation between total body weight loss and SMM loss, reflecting the increased prevalence of obesity in the population. The prognostic value of weight loss depends on the BMI, and this may be associated with low SMM, masking its loss. Thus, weight loss itself poorly predicts outcome in HNC patients when compared with depleted SMM, illustrating the inadequacy of BMI as an accurate method to reflect nutritional status [8]. An assessment method would be needed for rapid clinical implementation, to adequately evaluate BC in HNC patients in order to reveal significant malnutrition, appropriate chemotherapy dose, and to identify high risk patients [8]. Besides questionnaires like Patient-Generated Subjective Global Assessment (PG-SGA) that allow the assessment of the nutritional status, the existing techniques to evaluate nutritional status and/or BC include anthropometric measurements for weight and BMI, measurement of skinfold thickness, biochemical parameters, bioelectrical impedance analysis (BIA), computed tomography (CT), magnetic resonance (MRI) or dual-energy x-ray absorptiometry (DEXA) [13].

Many studies have shown the impact of CT image of L3 as the reference method to measure BC². Chamchod et al. (2016) showed that lean body mass (LBM) estimation for HNC patients, especially post-therapy, should be performed using CT image-based assessment, otherwise, measurement error of >10 kg should be presupposed. However, because all HNC patients do not routinely have this image available, bioelectrical impedance analysis (BIA) has been reported as a method with a good consistency along the treatment [2]. This method is widely used, non-invasive, portable, inexpensive, and feasible to assess BC in humans [14]. It is based on impedance of a low-voltage current passing through the body [14], which can then be used to calculate an estimate of total body water (TBW). Further, TBW can be used to estimate fat-free mass (FFM) by comparing with body weight and body fat [8]. Dual-energy X-ray absorptiometry (DEXA) has gained popularity in quantifying LBM for being non-invasive, carrying low cost and radiation dose, and being able to measure LBM, fat mass, and bone mineral density. However, DEXA values depend on the precision error of the DEXA machine, which may be affected by the diffuse inflammatory changes caused by chemotherapy. It remains an important area for research, because there are no recommendations on this issue, and it is important to understand how chemotherapy may affect precision error, in order to accurately interpret changes in BC [15]. This scoping review was guided by the methodologically rigorous manual by The Joanna Briggs Institute (JBI), for scoping reviews [16], and aimed to synthesise and map the BC changes in HNC patients, which occur during treatment. The main objective was to provide a descriptive overview of what these changes are and how they can be measured. The purpose of a scoping review is to map and examine the existing evidence in literature in a given field, providing an overview, as a preliminary exercise prior to the conduct of a systematic review, regardless of quality of the contributing studies, unless otherwise specified. Therefore, a scoping review does not intend to recommend clinical practices or to provide guidelines [16]. An initial search of the JBI Database of Systematic Reviews and Implementation Reports, MEDLINE and CINAHL demonstrated that there were no systematic reviews, meta-analyses or scoping reviews (published or in progress) on this topic. The objective, inclusion criteria and methods for this scoping review were specified in advance and documented in a protocol [16].

Review question/objective

The purpose of this scoping review was to examine and map the BC changes in HNC patients, under active treatment, and to determine which methods are useful to assess BC in these patients. The current review was guided by the following research questions, built on the ‘PCC’ mnemonic (Population, Concept and Context):

1. What is known from the existing literature about the changes in BC in head and neck cancer patients under active oncological treatment?

   Two other questions were identified to guide the subsequent steps of the scoping review, and broader complement the research question above.

2. Which methods are useful for assessing BC changes in HNC patients under active treatment?
3. What are their reported strengths and weaknesses?

Inclusion Criteria

As well as the title and the research question, the eligibility criteriawere built on the ‘PCC’ mnemonic (Population, Concept and Context):

Types of participants

The current review considered HNC patients, aged 18 years or older, who had not been submitted to any training or dietary program.

Concept

This scoping review considered all studies that focused on the BC changes.

Context

This scoping review considered the studies that evaluated the BC changes in the context of treatment, with curative intent. These included antineoplastic agents, chemotherapy, adjuvant chemotherapy, radiotherapy, adjuvant radiotherapy, and adjuvant chemoradiotherapy. Surgical treatment approach was not included. Adjuvant treatment was included, but not when this was surgery alone.

Types of sources

This scoping review considered only published studies, both quantitative and qualitative data, with an abstract available. Due to time constraints, only published studies were considered for the review, retrieved from databases, excluding unpublished studies.

Search strategy

The search strategy aimed to find only published studies, within the last 19 years from 2000 to 2019. A three-step search strategy was conducted on this review.An initial limited search of MEDLINE (via PubMed) and CINAHL Plus with Full Text (via EBSCO) was undertaken through an analysis of the index terms used to describe the articles. A second search using all index terms identified was undertaken across both databases included. Thirdly, the reference lists of all identified reports and articles will be searched for additional studies. Studies published between January 2000 and July 10, 2019 in English, Spanish and Portuguese were considered for inclusion in this review.  Initial keywords/search terms were used: head and neck cancer; body composition OR body weight OR body weight change OR body mass index OR fat-free mass OR skeletal muscle; antineoplastic agents OR radiotherapy OR radiotherapy, adjuvant OR chemotherapy, adjuvant OR chemoradiotherapy OR chemoradiotherapy, adjuvant.  The search in PubMed provided most articles, and the search are shown in Appendix I. The search strategy conducted in Cinahl Plus with Full Text followed the same strategy mentioned in Appendix I. Search results run in the different databases were consolidated, and duplicated studies were excluded. After the duplicates were removed, two independent reviewers screened the articles to exclude those that do not meet the eligibility criteria identified in the second stage of the protocol, based on the titles and abstracts. For those fulfilling the eligibility criteria, the full-text article was obtained. Disagreements on study eligibility of the sampled articles were discussed between the two independent reviewers. Studies identified from reference lists were assessed for relevance based on their title and abstract.

Extraction of results

Relevant data were extracted from the included studies to address the review question using the template developed in the protocol (Appendix II), as indicated by the methodology for scoping reviews developed by the Joanna Briggs Institute [16]. In accordance with the purpose of scoping reviews, the quality of data extracted was not appraised before inclusion. Two reviewers extracted data independently. Disagreements on study eligibility of the sampled articles were discussed between the two independent reviewers, or with a third reviewer. The data extracted included author(s)/year of publication, aims and purpose of the study, sample size, study design, type of treatment, measurement points and component(s) of BC evaluated, BC assessment methods, main results/findings.

Results

The database searches provided a total of 1180 citations after duplicates were removed. One additional citation was found in the reference list review. A total of 17 papers met the inclusion criteria, based on the titles and abstracts. The full-text, of these 17 citations, were obtained and read, and 5 of them were excluded for the following reasons: only assessing skeletal muscle before treatment (n=1), only assessing phase-angle variations during radiotherapy (n=1), only assessing nutrition status, phase-angle and body weight (n=1), patients received exercise training, during and after treatment (n=2), which may serve as a possible confounding for changes body weight or lean body mass. A total of 12 studies were included in this review. A flowchart showing the study selection process is detailed in Figure 1.

Figure 1. PRISMA flow chart for the scoping review process.

From: Moher D, Liberati A, Tetzlaff J, Altman DG, The PRISMA Group (2009). Preferred Reporting Items for Systematic Reviews and MetaAnalyses: The PRISMA Statement. PLoS Med 2009; 6 (7): e1000097

Characteristics of Study Design and Data Collection

The review reports found from 12 studies published from 2004 to 2018, had been conducted almost worldwide: China (2) [17, 18] Netherlands (2) [14, 19], United States of America (3) [8, 20, 21] Turkey (1) [22], Brazil (1) [23], Spain (1) [2], Canada (1) [24] and Sweden (1) [25]. A summary of the characteristics of studies included are described in Appendix III. The population size for the included studies ranged from 20²to 215 participants [8] comprising a total of 891 HNC patients (75, 3% male; 24, 7% female), over 18 years old. Ten studies had used a prospective cohort design [2, 14, 17, 18-21, 22-25] and two studies had used a retrospective cohort design [8, 20].

Body Composition Changes (Concept)

BC analysis included variables such as: LBM, measured by five studies [8, 17, 19-21] FFM measured by five studies [2, 14, 18, 23, 25] two of which estimated fat-free mass index (FFM (kg) divided by body height² (m²)) [18, 25]. Fat mass/adipose tissue were measured by seven studies [8, 17, 18, 19, 22-24] one of which estimated fat mass index (FM (kg) divided by body height² (m²)) [18], and another estimated subcutaneous fat [22].^. Skeletal muscle was measured by two studies, normalized for height in meters squared, reported by skeletal muscle index (SMI) [18, 24]. Reviewing the articles and synthesizing findings from baseline to the end of treatment, all studies reported BC changes, especially loss of LBM or FFM. Appendix IV shows the BC changes reported from the baseline to the end of treatment. The BC analysis data collected at baseline were set as the reference to analyses whether significant changes were observed at different measurement points. One study [2] reported a positive change in FFM during induction chemotherapy (iCT), which increased until the begin of concomitance treatment, and then declined significantly, while another study [21] reported also a positive change during iCT, but this was related to weight gain and not specifically to FFM. The greatest change in body mass occurred in LBM at 1-month post-concurrent chemoradiotherapy (CRT). The loss in LBM occurred despite dietary consumption, and reduced significantly for all body compartments: arms, legs, and trunk [21]. One study [25] reported a decrease of FFM of 6, 5 kg in >10% weight loss group, and 2, 7 kg in ≤ 10% weight loss group. One study [24] including 28 HNC patients found that approximately half of lost body weight was attributed specifically to muscle loss (3.4 kg) and the other half could be explained by 3.6 kg fat loss, both visceral and subcutaneous adipose tissue. The same results were reported in another the study [19], where LBM significantly declined during treatment, corresponding a sixty-two percent of weight loss. However, there were no significant changes between first and second post treatment assessment, which is in agreement with the results found by the same authors, but in a more recent study¹⁴ showing a significant decline in FFM (p<.05) during the treatment period but remaining stable 4 months after the end of treatment. One study [17] reported a significant decline in body fat mass and LBM at the different time points after radiotherapy (RT) compared with pre-RT. During the recovery time from the end of treatment to 6 months post-RT, lean body mass remained largely static, whereas body fat mass continued to decrease. Two studies [7, 20] reported different results by sex. In men, a significantly dropped of LBM post-treatment compared with pre-treatment was found, decreased from @ 58kg to @ 51kg after RT, whereas mean estimated LBM in women remained fairly stable, decreasing from @ 38.0 kg to @ 36 kg RT. Additionally, another study [8] reported that the mean fat mass dropped in both men and women after treatment. Two studies [22, 23] showed that TST measurements significantly deteriorated in the end of RT, what means a significant loss of subcutaneous fat, corroborated by BIA analysis, which demonstrated a significant reduction in body fat and FFM, which continued to decline one month after the end of treatment [23]. One study [18] reported statistically and clinically significant changes also in fat mass, FFM, and SMM, during concurrent CRT.  Synthesizing these findings shows how HNC patients suffer from serious LBM, skeletal muscle, body fat or FFM loss, during and after treatment compared with baseline.

Body composition assessment methods

In five studies [2, 14, 18, 23] BC was assessed by BIA, two of which also used DEXA [14] or TSF [23], respectively. In three studies [8, 20, 24] the assessment method was CT, at the level of the third lumbar (L3) vertebra. DEXA, as a single measurement, was applied in other three studies [17, 19, 21] and in one study [22] BC was assessed by TSF. One study [2] considered BIA as a method with good application consistency in patients with locally advanced HNC providing useful information, especially for evaluating FFM, since these patients do not have image of L3 at the CT available in a regular daily basis. However, also referred that the validity and interpretation of maintenance in FFM through the treatment in his study, need to be taken cautiously as the BC values were estimated from changes in voltage across the body. In another study [17] on nasopharyngeal cancer patients managed in Hong Kong, the authors did not find a systematic difference between BIA and DEXA measures, although the BIA had slightly underestimated FFM by <1 kg, both pre- and post-treatment, and accordingly to these results, one study [18] in locally advanced nasopharyngeal carcinoma patients showed that BC assessed by BIA could reflect the change of nutritional status when compared with other methods such as DEXA. One study [8] including HNC patients (various tumor subsites) recommended routine use of quantitative imaging (CT and DEXA) in HNC patients, especially in those prone to changes in nutritional status, as opposed to general population-based height-weight formulae, because the last are not sufficient for body mass quantification. One study [22] used triceps skinfold thickness (TSF) to estimate subscutaneous fat in a series of 54 HNC patients. This is a inexpensive and non-invasive method, and it is widely available [13]. On the other hand, eight studies [17, 19-25] did not report any advantage or disadvantage of using BIA, L3 image at CT, TSF or DEXA. In summary, these findings show that BIA has the great advantage for being available on a regular basis for assessing BC in HNC patients, is inexpensive, noninvasive, and it is a good method to be applied when no imaging techniquesare available. Further, it can be performed by a clinical dietitian [18] if the protocol is followed.

Discussion

This scoping review report’s findings from 12 articles identified through a systematic literature search, published over a 14-year period, that investigated or described the BC changes in HNC patients under active oncological treatment, with curative intent. The patient group with surgical treatment approach was not included in this review for uniformity reasons, as this would have increased the heterogenous nature of the patient population. In general, the studies displayed different oncological treatment modalities, the sample sizes in the retrospective studies suffer from dropout, and the prospective studies from small samples. The studies included in this scoping review also comprised different ‘’measurement points’’, evaluated different components of BC, as well as the methods to assess it in HNC patients, which makes it challenge to synthesizing findings. Studies of human BC using CT scans have provided proof-of-concept that variability in drug disposition and toxicity profiles may be partially explained by different features in BC [26]. The depletion of skeletal muscle before and after RT is strongly associated with decreased survival in patients with solid tumors [20], a higher risk for complications and reduced response to cancer treatment [19]. BC analysis results indicated that the BC components, such as LBM, FFM, body fat and skeletal muscle, change at different measurement points, and that these changes in HNC patients, receiving RT, cannot be effectively monitored by measuring their weight, and BMI [27].^. Two studies [19, 24] reported a loss of LBM corresponding to more than half the weight lost, showing that weight loss itself poorly predicts outcome in HNC patients [8]. Low dietary intake due to treatment related nutrition impact symptoms seems to be one of the main contributing factors for muscle loss in HNC patients, because they not meet the recommended calorie and protein intake. In additional to low dietary intake, inflammation could exacerbate muscle loss during cancer treatment [24], as well as impairments in physical performance, contributing to aberrant changes in BC [20]. However, there was a positive change in FFM during iCT [2], reported by Arribas et al. (2017), which may be related to the improvement of the symptoms that initially limited the oral intake and could contribute to minimize further deterioration, proving the role of the nutritional intervention from the beginning of the treatment [2]. Besides these two studies, and this specific measurement point, all the studies included in this review reported loss of LBM, FFM, fat mass and skeletal muscle during the treatment. Post-treatment nutritional deterioration is evident among HNC patients in all included studies, occurring up to 8-12 months during follow-up, although there appears to be a slight recovery. Different findings were observed between Jager-Wittenaar et al (2010) and Kenway et al. (2004) related to body-weight increase after treatment. Jager-Wittenaar et al. (2010) reported a weight gain, characterized by increase of fat mass instead of FFM, while Kenway et al. (2004) found a continously decline of body fat after treatment. Changes in BC after cancer treatment warrant further investigation as this phenomenon might affect recovery from therapy-related side effects and more importantly, even prevent complications. A systematic review by Correia et al.(2019) addressing the methods for BC assessment in clinical settings found that the reference methods for BC assessment in cancer patients are DEXA and L3 in CT imaging, but these examinations are not routinely performed in the management of HNC. This finding is consistent with this review where some authors chose BIA as the preferred method as an alternative to more invasive and expensive methods like DEXA and CT, and because it is available on in routine HNC management. BIA is recommended to be increasingly implemented in nutritional assessment [18]. Citak et al. (2017) used TSF to estimate subscutaneous fat, and only highlight advantages for its use, because all anthropometric measurements were performed by the same person [22]. However, poorer accuracy and precision in obese/oedematous individuals [28], and its sensitive to technician skills, type of calliper and prediction equations used it [13], need to be taken into account. All the BC changes that occur during management of HNC patients, as well as choosing the most feasible, accurate and practical method to assess these changes, represents a challenge for further investigation, in order to assess and improve nutritional status, and disease-associated processes.

Limitations of the review

Although the quality of data extracted was not appraised before inclusion, since it is not relevant for a scoping review, some limitations should be reported so as to provide valuable information to future investigation:

The present scoping review is a pragmatic mean of dealing with the lack of evidence available on BC changes in HNC patients under active treatment;

• The present scoping review aims to use 2 electronic databases and the search has been refined to increase the likelihood of retrieving as many relevant published articles as possible;
• Only published studies, in English, Portuguese and Spanish in scientific journals were considered eligible for inclusion;
• A quality assessment of the articles included in the scoping review was not performed;
• Due to time constraints, the search strategy didn’t include the MeSH term “neoplasms”, what may had excluded some relevant references;
• The difference in results may be the result of including a heterogeneous group of patients receiving different types of treatment, and of the variability of BC assessment tools;
• The interval of BC assessment between pre- and post- RT varied, and some patients may have recovered muscle mass during this period whereas other may have continued to lose muscle mass after the end of treatment;
• The variability in quality of imaging, which may affect skeletal muscle mass, contouring and adipose tissue segmentation.

Conclusion

HNC patients experience a significant depletion of LBM, FFM and skeletal muscle, accompanied by body fat mass, while undergoing (chemo) radiotherapy, demonstrated either by the TSF, BIA, DEXA or CT. This loss has a significant impact on their survival, quality of life, on the risk for complications and may result in a reduced response to cancer treatment. Thus, BC assessment should become an integral component of the care of HNC patients, beyond weight and BMI, and should be carried out at different times throughout treatment. Based on this review, further investigations are recommended applying measurements at same time points and assessing BC changes with comparable methods in order to obtain evidence for the impact of body composition changes in this patient population.

Appendix I – Search Strategy

PubMed – search conducted on 10/07/2019

Appendix II: Data extraction instrument

Appendix III: C haracteristics of Study Design and Data Collection

Appendix IV: BC changes reported from the baseline to the end of treatment

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DOI: 10.31038/NDN.2019111

Editorial

I am pleased to present the inaugural issue of the journal of Nutrition, Dietetics & Nutraceuticals (NDN) from the open access international publishing house Research Open World. NDN provides a platform covering in an interdisciplinary manner all areas of Nutrition, Dietetics & Nutraceuticals. The goal of NDN is to publish actual, original and high-quality research articles, reviews, and short communications, which can be divided into three categories: The science of nutrition, Community Nutrition and Therapeutic nutrition and dietetics.

Specific studies and developments of interest for the journal comprise Nutrition and Food Sciences and Food Biotechnology. Food industry uses extensively a high quantity of water in the industrial processes, namely, heating and cooling systems and washing of equipment and facilities. Consequently, it produces a large quantity of problematic wastewaters. Food industry wastewaters constitute a complex subject for the environment and public health due to the presence of high concentrations of organic matter monitored by chemical oxygen demand (COD), biochemical oxygen demand (BOD) and total organic carbon (TOC), salinity (high conductivity values), total and suspended solids and nutrients (calcium, magnesium, phosphorus, potassium, sodium and chloride). Food industry wastewater can be responsible for soil contamination, accumulation of toxic compounds in ecosystems, eutrophication phenomena, rapid oxygen depletion, and surface and groundwater contamination. Within this type of wastewater, it can be highlighted the dairy, winery, slaughterhouse and olive oil mill wastewater. However, appropriate and innovative treatment processes are required. Conventional treatment processes of food industry wastewaters are based on biological principles, for instance, aerobic [1, 2] and anaerobic [3] digestion and wetlands [4]. However, these biological processes have some limitations. Several physicochemical processes have been applied in order to reduce organic and inorganic contamination, for example, coagulation−flocculation with FeSO₄, Al₂(SO₄)₃, and FeCl₃ for cheese whey wastewater [2] and winery wastewater [5], coagulation with chitosan, starch, alum and ferric chloride for olive oil wastewater [6], acid precipitation with H₂SO₄, HNO₃ and HCl for cheese whey and slaughterhouse wastewater [7, 8], basic precipitation with NaOH and Ca(OH)₂ for cheese whey wastewater [9, 8], oxidation with Ca(ClO)₂, H₂O₂ and CaO₂ for slaughterhouse wastewater [7], Fenton-like oxidation system for pretreated cheese whey wastewater [10], ozone-based advanced oxidation processes (O₃, O₃/UV and O₃/UV/H₂O₂) for winery wastewater [11], photocatalytic/photolytic reactor system for winery wastewater [12], solar photochemical for winery wastewater [13], electrochemical advanced oxidation [14]  and solar driven advanced oxidation [15] for the pretreated winery wastewater, use of clay–polymer nano composites for olive oil mill and winery wastewater [16], reverse osmosis for winery wastewater [17], electrolysis system for olive oil mill wastewater [18], electro-coagulation for olive oil mill wastewater [19] and slaughterhouse wastewater [20], Fenton’s Reagent for olive oil mill wastewater [21], conductive-diamond electrooxidation (CDEO), ozonation and Fenton oxidation for olive oil mill wastewater [22] and alkaline and enzymatic hydrolysis for slaughterhouse wastewater [23]. The application of these effluents on the soil can also be an alternative [24, 25]. However, some precautions should be taken when these effluents are applied at long-term. Thus, NDN can receive important works in the area of biological and physicochemical treatment, recovery and reuse of the food industry wastewaters.

Thank you for your contribution to the Journal of Nutrition, Dietetics & Nutraceuticals

Sincerely,
Ana R. Prazeres

Acknowledgments

The author thanks to the Alentejo Regional Operational Program (ALENTEJO 2020, Portugal 2020) for the financing of the HYDROREUSE project – Treatment and reuse of agro-industrial wastewater using an innovative hydroponic system with tomato plants (ALT20-03-0145-FEDER-000021), through the Regional Development European Fund (FEDER).

References

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