This study aimed to review qualitative studies on perceptions of home cooking. A systematic search was conducted in Scopus and SciELO databases using English and Portuguese terms related to home cooking, without date or language restrictions. Twenty-six articles, published between 2004 and 2017, investigated, whether as a primary objective or as a secondary finding, the perceptions of individuals on home cooking. More than half of the studies were conducted in English-speaking countries. Study participants included women and men, adults and seniors as well as residents of urban and rural areas, Eastern and Western countries, and developing and developed nations. Thematic analysis showed that home cooking has different interpretations and meanings in diverse contexts and revealed differences in how individuals plan and cook their meals at home. Cognitive, practical, affective, and emotional factors are the major motivators to home meal preparation. Having a cooking role model in the family, cooking confidence and skills, and living alone were reported as facilitators of home cooking. A better understanding of the heterogeneity of perceptions and meanings of home cooking can contribute to the development of effective and culturally appropriate interventions for stimulating healthy cooking habits.
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http://dx.doi.org/10.1590/1413-812320202511.01352019 | DOI Listing |
Curr Environ Health Rep
January 2025
Brandeis University, Waltham, MA, USA.
Purpose Of Review: Indoor air pollution is likely to be elevated in multi-family housing and to contribute to health disparities, but limited studies to date have systematically considered the empirical evidence for exposure differentials between multi-family and single-family housing. Our goal is to separately examine the drivers of residential indoor air pollution, including outdoor air pollution, ventilation and filtration, indoor sources, and occupant activity patterns, using secondhand smoke as a case study to examine the behavioral dimensions of indoor environmental interventions.
Recent Findings: Within studies published from 2018 to 2023, multi-family homes have higher average outdoor air pollution than single-family homes given their more frequent presence in urban and near-roadway settings.
Environ Epidemiol
February 2025
Department of Sociomedical Sciences, Mailman School of Public Health, Columbia University, New York, New York.
Background: Utility services for electricity, gas, heat, and hot water are necessities for everyday activities (e.g., lighting, cooking, and thermal safety).
View Article and Find Full Text PDFJ Agric Food Res
December 2024
Center for Indigenous Health Research, Wuqu' Kawoq|Maya Health Alliance, Tecpan, Chimaltenango, 04006, Guatemala.
Fungal toxins in local food supplies are a critical environmental health risk to communities globally. To better characterize hypothesized toxin control points among households, we conducted household surveys across four departments (first administrative division) in Guatemala. Data gathered included maize harvesting, processing, storage, and traditional nixtamalization practices.
View Article and Find Full Text PDFJ Anim Physiol Anim Nutr (Berl)
January 2025
Laboratory of Aquatic Nutrition and Feed, College of Fisheries, Guangdong Ocean University, Zhanjiang, China.
Antioxidants, both glutathione (GSH) and astaxanthin (AX), possess beneficial applications in animal growth and antioxidant properties. In this study, three experimental diets with isoproteic and isolipidic were formulated, the control diet (CON), the control diet added with 0.03% Carophyll Pink (contains 10% AX), the control diet added with 0.
View Article and Find Full Text PDFMeat Sci
January 2025
Department of Biosystems Machinery Engineering, Chungnam National University, Daejeon 34134, Republic of Korea. Electronic address:
This study evaluated the performance of a deep-learning-based model that predicted cooking loss in the semispinalis capitis (SC) muscle of pork butts using hyperspectral images captured 24 h postmortem. To overcome low-scale samples, 70 pork butts were used with pixel-based data augmentation. Principal component regression (PCR) and partial least squares regression (PLSR) models for predicting cooking loss in SC muscle showed higher R values with multiplicative signal correction, while the first derivative resulted in a lower root mean square error (RMSE).
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