The optics of noncommunicable diseases: from lifestyle to environmental toxicity

Upstream and downstream explanations of the harms of ultra-processed foods in national dietary guidelines

OBJECTIVE

Dietary advice about the potential health risks of unhealthy foods or diets has historically been communicated in terms of nutrients. Recent evidence has shown that the processing of food itself is independently attributable to harmful outcomes, particularly a new category of foods described to be "ultra-processed". Dietary guidelines are a key policy tool to translate and communicate nutrition research, however there is little research exploring whether and how the harms of food processing are communicated and rationalized in dietary advice.

DESIGN

Nineteen publicly available dietary guidelines were thematically analysed to explore: 1) the diversity of terms used to refer to processed foods and 2) the underlying explanations and rationales provided to reduce consumption of processed foods.

SETTING

International.

RESULTS

Seventeen different descriptive terms were used to refer to processed foods, with many countries using a large variation of terms within their dietary guidelines. Six rationales to reduce consumption of processed foods were identified, which were grouped into four overarching domains: harmful outcomes (disease risk, environmental risk); food quality (food quality, nutrient content); diet quality; and food environment.

CONCLUSION

The rationales provided to reduce the consumption of processed foods reflect upstream and downstream determinants of health. However, the persistence of nutrient-based rationales indicate that most dietary guidelines do not apply an upstream understanding of the issues with ultra-processing. Further, the diversity of terms and foods referenced in dietary guidelines suggest that the concept of ultra-processing is subject to multiple interpretations.

Immuno-Hormonal, Genetic and Metabolic Profiling of Newborns as a Basis for the Life-Long OneHealth Medical Record: A Scoping Review

Holistic and life-long medical surveillance is the core of personalised medicine and supports an optimal implementation of both preventive and curative healthcare. Personal medical records are only partially unified by hospital or general practitioner informatics systems, but only for citizens with long-term permanent residence. Otherwise, insight into the medical history of patients greatly depends on their medical archive and memory. Additionally, occupational exposure records are not combined with clinical or general practitioner records. Environmental exposure starts preconceptionally and continues during pregnancy by transplacental exposure. Antenatal exposure is partially dependent on parental lifestyle, residence and occupation. Newborn screening (NBS) is currently being performed in developed countries and includes testing for rare genetic, hormone-related, and metabolic conditions. Transplacental exposure to substances such as endocrine disruptors, air pollutants and drugs may have life-long health consequences. However, despite the recognised impact of transplacental exposure on the increased risk of metabolic syndrome, neurobehavioral disorders as well as immunodisturbances including allergy and infertility, not a single test within NBS is geared toward detecting biomarkers of exposure (xenobiotics or their metabolites, nutrients) or effect such as oestradiol, testosterone and cytokines, known for being associated with various health risks and disturbed by transplacental xenobiotic exposures. The outcomes of ongoing exposome projects might be exploited to this purpose. Developing and using a OneHealth Medical Record (OneHealthMR) may allow the incorporated chip to harvest information from different sources, with high integration added value for health prevention and care: environmental exposures, occupational health records as well as diagnostics of chronic diseases, allergies and medication usages, from birth and throughout life. Such a concept may present legal and ethical issues pertaining to personal data protection, requiring no significant investments and exploits available technologies and algorithms, putting emphasis on the prevention and integration of environmental exposure and health data.

Digital Interventions for Psychological Comorbidities in Chronic Diseases-A Systematic Review

Chronic diseases represent one of the main causes of death worldwide. The integration of digital solutions in clinical interventions is broadly diffused today; however, evidence on their efficacy in addressing psychological comorbidities of chronic diseases is sparse. This systematic review analyzes and synthesizes the evidence about the efficacy of digital interventions on psychological comorbidities outcomes of specific chronic diseases. According to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, a systematic search of PubMed, PsycInfo, Scopus and Web of Science databases was conducted. Only Randomized Controlled Trials (RCTs) were considered and either depression or anxiety had to be assessed to match the selection criteria. Of the 7636 identified records, 17 matched the inclusion criteria: 9 digital interventions on diabetes, 4 on cardiovascular diseases, 3 on Chronic Obstructive Pulmonary Disease (COPD) and one on stroke. Of the 17 studies reviewed, 14 found digital interventions to be effective. Quantitative synthesis highlighted a moderate and significant overall effect of interventions on depression, while the effect on anxiety was small and non-significant. Design elements making digital interventions effective for psychological comorbidities of chronic diseases were singled out: (a) implementing a communication loop with patients and (b) providing disease-specific digital contents. This focus on “how” to design technologies can facilitate the translation of evidence into practice.