Quantifying metabolic food waste and associated global warming potential attributable to overweight and obese adults in a temperate high-income region.

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Title: Quantifying metabolic food waste and associated global warming potential attributable to overweight and obese adults in a temperate high-income region.
Authors: Krah, Courage Y.1 (AUTHOR), Burke, Daniel T.1 (AUTHOR), Bahramian, Majid1 (AUTHOR), Hynds, Paul1 (AUTHOR), Priyadarshini, Anushree1,2 (AUTHOR) Anu.Priyadarshini@mu.ie
Source: Food Research International. May2025, Vol. 209, pN.PAG-N.PAG. 1p.
Subjects: Food waste, Body mass index, Body weight, Environmental indicators, Well-being
Abstract: Traditional discussions on food waste often excludes metabolic food waste (MFW), which occurs when individuals consume food beyond their caloric needs. This study is the first to quantify MFW among adults with excess body weight (overweight and obese) in the Republic of Ireland (ROI) and globally the first to explore its socioeconomic and health-related predictors. Using an online food frequency questionnaire, MFW was estimated via the excess energy intake method, and Generalized Linear Model (GLM) was applied to identify significant predictors of MFW volumes. Median per capita MFW was 121.84 kg/year, with potatoes being the most wasted food item (23.4 kg/year). Significant predictors of higher MFW included higher body weight (B = 0.024, p < 0.001), male gender (B = −0.812, p < 0.001), younger age (25–34 years) (B = 0.151, p = 0.035), omnivorous diets (B = 0.277, p < 0.001), and higher grocery shopping frequency (B = 0.032, p < 0.001). Conversely, individuals who prioritized price over taste in food purchases exhibited significantly lower MFW volumes (B = −0.137, p = 0.025). The annual total volumes of MFW (0.3 Mt./yr) generated by excess body weight adults in ROI is also responsible for 1.5 Mt. CO₂e/yr emissions nationally. These findings position MFW as a critical yet underexplored dimension of food waste with profound implications for public health and environmental policies, aligning with SDGs 2 (Zero Hunger), 3 (Good Health and Well-being), and 12 (Responsible Consumption and Production). [Display omitted] • Excess energy intake method used to calculate MFW among adults with excess body weight. • First global study linking sociodemographic, dietary and behavioural factors to metabolic food waste (MFW). • Males gender, younger individuals, frequent grocery shopping are associated with higher MFW volumes. • Adults with excess body weight living in Ireland generate 0.3 Mt./yr of MFW and 1.5 Mt. CO₂ eq/yr emissions. [ABSTRACT FROM AUTHOR]
Copyright of Food Research International is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Quantifying metabolic food waste and associated global warming potential attributable to overweight and obese adults in a temperate high-income region.
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  Data: Traditional discussions on food waste often excludes metabolic food waste (MFW), which occurs when individuals consume food beyond their caloric needs. This study is the first to quantify MFW among adults with excess body weight (overweight and obese) in the Republic of Ireland (ROI) and globally the first to explore its socioeconomic and health-related predictors. Using an online food frequency questionnaire, MFW was estimated via the excess energy intake method, and Generalized Linear Model (GLM) was applied to identify significant predictors of MFW volumes. Median per capita MFW was 121.84 kg/year, with potatoes being the most wasted food item (23.4 kg/year). Significant predictors of higher MFW included higher body weight (B = 0.024, p &lt; 0.001), male gender (B = −0.812, p &lt; 0.001), younger age (25–34 years) (B = 0.151, p = 0.035), omnivorous diets (B = 0.277, p &lt; 0.001), and higher grocery shopping frequency (B = 0.032, p &lt; 0.001). Conversely, individuals who prioritized price over taste in food purchases exhibited significantly lower MFW volumes (B = −0.137, p = 0.025). The annual total volumes of MFW (0.3 Mt./yr) generated by excess body weight adults in ROI is also responsible for 1.5 Mt. CO₂e/yr emissions nationally. These findings position MFW as a critical yet underexplored dimension of food waste with profound implications for public health and environmental policies, aligning with SDGs 2 (Zero Hunger), 3 (Good Health and Well-being), and 12 (Responsible Consumption and Production). [Display omitted] • Excess energy intake method used to calculate MFW among adults with excess body weight. • First global study linking sociodemographic, dietary and behavioural factors to metabolic food waste (MFW). • Males gender, younger individuals, frequent grocery shopping are associated with higher MFW volumes. • Adults with excess body weight living in Ireland generate 0.3 Mt./yr of MFW and 1.5 Mt. CO₂ eq/yr emissions. [ABSTRACT FROM AUTHOR]
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  Data: &lt;i&gt;Copyright of Food Research International is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder&#39;s express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.&lt;/i&gt; (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.foodres.2025.116309
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      – Code: eng
        Text: English
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      – SubjectFull: Body mass index
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      – SubjectFull: Body weight
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              Text: May2025
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