Chapter 7. (Un)healthy food discourses

2020 ◽  
pp. 125-144
Author(s):  
Jana Declercq
Keyword(s):  
Healthy Food

Macho Nachos

2015 ◽  
Vol 46 (4) ◽  
pp. 182-196 ◽  
Author(s):  
Luke (Lei) Zhu ◽  
Victoria L. Brescoll ◽  
George E. Newman ◽  
Eric Luis Uhlmann
Keyword(s):  
Gender Stereotypes ◽  
Food Packaging ◽  
Food Preferences ◽  
Healthy Food ◽  
Psychological Reactance ◽  
Unhealthy Food ◽  
Healthy Foods ◽  
Gender Schema ◽  
Male And Female ◽  
Schema Congruity

Abstract. The present studies examine how culturally held stereotypes about gender (that women eat more healthfully than men) implicitly influence food preferences. In Study 1, priming masculinity led both male and female participants to prefer unhealthy foods, while priming femininity led both male and female participants to prefer healthy foods. Study 2 extended these effects to gendered food packaging. When the packaging and healthiness of the food were gender schema congruent (i.e., feminine packaging for a healthy food, masculine packaging for an unhealthy food) both male and female participants rated the product as more attractive, said that they would be more likely to purchase it, and even rated it as tasting better compared to when the product was stereotype incongruent. In Study 3, packaging that explicitly appealed to gender stereotypes (“The muffin for real men”) reversed the schema congruity effect, but only among participants who scored high in psychological reactance.

Relationship of Physical Activity, Bone Healthy Food Pattern and Cognition in Schoolaged Children – CogniDROP

2019 ◽  
Author(s):  
Beatrice Hanusch ◽  
Kathrin Jansen ◽  
Alina Drozdowska ◽  
Michael Falkenstein ◽  
Thomas Lücke ◽  
...  
Keyword(s):  
Physical Activity ◽  
Healthy Food ◽  
Food Pattern ◽  
Relationship Of

SISTEM PAKAR MENU MAKANAN SEHAT BAGI PENDERITA KOLESTEROL DENGAN METODE FORWARD CHAINING

2017 ◽  
Vol 3 (2) ◽  
pp. 72
Author(s):  
Gusnita Darmawati
Keyword(s):  
Expert System ◽  
Cholesterol Level ◽  
Blood Group ◽  
Healthy Food ◽  
Healthy Diet ◽  
Blood Type ◽  
Forward Chaining ◽  
Cholesterol Levels ◽  
Microsoft Office ◽  
Visual Basic 6.0

<p>Penelitian ini membangun suatu sistem pakar untuk menentukan menu makanan sehat berdasarkan golongan darah dan tingkat kadar kolesterol pasien dengan metode Forward Chaining. Tujuan untuk membantu orang awam dalam menentukan menu makanan sehat untuk pasien kolesterol. Sistem ini menganalisa masalah penentuan menu makanan sehat berdasarkan golongan darah dan tingkat kadar kolesterol pasien. Hasil yang diperoleh dari sitem pakar ini adalah berupa informasi makanan sehat yang akan dikonsumsi oleh pasien kolesterol dengan jenis golongan darah dan tingkat kadar kolesterol yang berbeda. Analisa dilakukan dengan cara mengetahui jenis golongan darah dan tingkat kadar kolesterol pasien yang ditampilkan oleh program sistem pakar ini, rancangan sistem ini menggunakan inference forward chaining, dengan implementasi sistem menggunakan sistem database Microsoft Office Access dan bahasa pemrograman Visual Basic 6.0. Dari rancangan aplikasi sistem pakar yang dibuat, maka orang awam yang memderita kolesterol dapat menentukan menu makanan sehat untuk di konsumsi berdasarkan golongan darah dan tingkat kadar kolesterol dengan menjalankan aplikasi sistem pakar.</p><p><em><br /></em></p><p><em><em>This study builds an expert system to determine the healthy food menu based on blood type and cholesterol levels of patients with Forward Chaining method. The goal is to help the layman in determining a healthy diet for cholesterol patients. This system analyzes the problem of determining healthy food menu based on blood group and patient cholesterol level. The results obtained from this expert system is in the form of healthy food information that will be consumed by cholesterol patients with the type of blood group and different cholesterol levels. From the design of expert system applications created, the layman who memderita cholesterol can determine the healthy diet to be consumed by blood type and cholesterol level by running an expert system application.<br /> <br /> </em></em></p>

scholarly journals Food Bank Donations in the United States: A Landscape Review of Federal Policies

Nutrients ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 3764
Author(s):  
Katelin M. Hudak ◽  
Emily Friedman ◽  
Joelle Johnson ◽  
Sara E. Benjamin-Neelon
Keyword(s):  
United States ◽  
Nutritional Quality ◽  
Food System ◽  
The United States ◽  
Healthy Food ◽  
Food Banks ◽  
Food Bank ◽  
Federal Policies ◽  
Food And Beverage

Rates of food insecurity have increased substantially in the United States (US), and more families are turning to the charitable food system to help meet their needs. Prior studies have examined the nutritional quality of foods offered through food banks, but little is known about what government policies may shape the healthy food donation landscape. The purpose of this study was to review US federal policies that impact food and beverage donations to food banks and assess whether policies encourage healthy food donations. In spring 2020, two researchers independently reviewed federal food and beverage donation policies using predefined search terms in two legal databases. We identified six categories of policies based on the existing food donation literature and themes that emerged in the policy review. We identified 42 federal policies spanning six categories that addressed food and beverage donations to food banks. The largest category was “government programs,” with 19 (45%) policies. The next largest category was “donation via schools,” with 12 (29%) policies. However, no policies specifically addressed the nutritional quality of food donations. There is an opportunity for the federal government to strengthen food bank donation policies and improve the nutritional quality of donated foods and beverages.

scholarly journals The Impact of a Produce Prescription Programme on Healthy Food Purchasing and Diabetes-Related Health Outcomes

2021 ◽  
pp. 1-24
Author(s):  
Julian Xie ◽  
Ashley Price ◽  
Neal Curran ◽  
Truls Østbye
Keyword(s):  
Health Outcomes ◽  
Fruits And Vegetables ◽  
Healthy Food ◽  
Grocery Store ◽  
Diabetes Control ◽  
Food Purchasing ◽  
Significant Relationships ◽  
Expenditure Share ◽  
The Impact

Abstract Objective: To evaluate a Produce Prescription Programme’s utilisation, and its effects on healthy food purchasing and diabetes control among participants with type 2 diabetes. Design: Prospective cohort study using participants’ electronic health records (EHR) and food transaction data. Participants were categorized as “Frequent Spenders” and “Sometimes Spenders” based on utilisation frequency. Multivariate regressions assessed utilisation predictors; and programme effects on fruit/vegetable purchasing (spending, expenditure share, variety) and on diabetes-related outcomes (HbA1c, BMI, blood pressure). Setting: Patients enrolled by clinics in Durham, North Carolina, USA. Participants received $40 monthly for fruits and vegetables at a grocery store chain. Subjects: 699 food-insecure participants (353 with diabetes). Results: Being female and older was associated with higher programme utilisation; hospitalisations were negatively associated with programme utilisation. Frequent Spender status was associated with $8.77 more in fruit/vegetable spending (p < 0.001), 3.3% increase in expenditure share (p = 0.007), and variety increase of 2.52 fruits and vegetables (p < 0.001). For $10 of Produce Prescription Dollars spent, there was an $8.00 increase in fruit/vegetable spending (p < 0.001), 4.1% increase in expenditure share, and variety increase of 2.3 fruits/vegetables (p < 0.001). For the 353 participants with diabetes, there were no statistically significant relationships between programme utilisation and diabetes control. Conclusions: Programme utilisation was associated with healthier food purchasing, but the relatively short study period and modest intervention prevent making conclusions about health outcomes. Produce Prescription Programmes can increase healthy food purchasing among food-insecure people, which may improve chronic disease care.

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