The effects of gases from food waste on human health: A systematic review.
Paulina RudziakEvans BatungIsaac LuginaahPublished in: PloS one (2024)
Food waste is a routine and increasingly growing global concern that has drawn significant attention from policymakers, climate change activists and health practitioners. Amid the plurality of discourses on food waste-health linkages, however, the health risks from food waste induced emissions have remained under explored. This lack of evidence is partly because of the lack of complete understanding of the effects of food waste emissions from household food waste on human health either directly through physiological mechanisms or indirectly through environmental exposure effects. Thus, this systematic review contributes to the literature by synthesizing available evidence to highlight gaps and offers a comprehensive baseline inventory of food waste emissions and their associated impacts on human health to support public health decision-making. Four database searches: Web of Science, OVID(Medline), EMBASE, and Scopus, were searched from inception to 3 May 2023. Pairs of reviewers screened 2189 potentially eligible studies that addressed food waste emissions from consumers and how the emissions related to human health. Following PRISMA guidelines, 26 articles were eligible for data extraction for the systematic review. Findings indicate that emissions from food waste, such as hydrogen sulphide, ammonia, and volatile organic carbons, can affect human endocrine, respiratory, nervous, and olfactory systems. The severity of the human health effects depends on the gaseous concentration, but range from mild lung irritation to cancer and death. This study recommends emission capture technologies, food diversion programs, and biogas technologies to reduce food waste emissions.
Keyphrases
- human health
- climate change
- risk assessment
- systematic review
- public health
- municipal solid waste
- life cycle
- endothelial cells
- meta analyses
- decision making
- healthcare
- primary care
- squamous cell carcinoma
- working memory
- high glucose
- anaerobic digestion
- papillary thyroid
- randomized controlled trial
- machine learning
- lymph node metastasis
- clinical practice
- big data
- global health
- minimally invasive
- data analysis
- health information
- deep learning
- high resolution
- childhood cancer