food away from home
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2021 ◽  
Vol 8 ◽  
Author(s):  
Jyh-Jou Chen ◽  
Li-Yun Tsai ◽  
Jung-Mei Tsai ◽  
Chen-Yuan Hsu

Dietary behavior is a critical lifestyle factor affecting health. This study aimed to investigate food away from home (FAFH) and its effect on gastrointestinal (GI) health. A questionnaire-based survey was conducted with 300 participants at a hospital in Liouying, Taiwan. The survey collected demographic information and data on FAFH and GI health. The association of GI health with FAFH consumption behavior was significant (t-test, p < 0.05). Bodyweight status was associated with age (F = 5.01, p = 0.01), dietary situation (F = 1.96, p = 0.04), number of meals (F = 1.85, p = 0.03), dietary preferences (F = 2.84, p = 0), reasons for FAFH (F = 1.86, p = 0.02), FAFH types (F = 2.01, p = 0), and outcomes associated with FAFH (F = 2.51, p = 0). Gastrointestinal condition was associated with the number of meals (F = 2.55, p = 0), the level of activity after meals (F = 2.16, p = 0.02), and FAFH type (F = 1.48, p = 0.04). The results indicated that the participants aged 20–40 years had more problems related to their self-perceived body weight status than those aged 41–50 years. The results of this study clarify the FAFH among people in Taiwan and the effects on GI health and may serve as a reference for relevant behavioral research in food and health studies.


Author(s):  
Antonio Aguilar-Lopez ◽  
Aleš Kuhar

The propagation of the coronavirus disease 2019 (COVID-19) reshaped the relationship between income and food-away-from-home (FAFH) expenditure in Mexico during 2020. Although the number of households participating in this market fell across income deciles and regions due to the pandemic, the impact on their budget shares is not uniform. Using data from the Encuesta Nacional de Ingresos y Gastos de los Hogares (ENIGH) 2020, we estimated an Engel curve of the Working-Lesser functional form for FAFH. Among the independent variables are the number of family members 65 years of age and older, and dummies to indicate whether the household experienced food insecurity or received remittances. The estimation was carried out following the Heckman two-step method, suitable for censored-response data. The results suggest that the budget share for FAFH drops as income increases. The number of older adults and food insecurity discourage the decision to participate in FAFH expenditure and increase its budget share, whereas remittances encourage participation and reduce its budget share. The corrected conditional elasticity is 0.4609; the sign and the magnitude indicate that FAFH is a necessity good.


2021 ◽  
Vol 29 (6) ◽  
pp. 73-94
Author(s):  
Chen Zhu ◽  
Rigoberto A. Lopez ◽  
Yuan Gao ◽  
Xiaoou Liu

2021 ◽  
Author(s):  
Christine M. Sauer ◽  
Thomas Reardon ◽  
David Tschirley ◽  
Saweda Liverpool‐Tasie ◽  
Titus Awokuse ◽  
...  

2021 ◽  
pp. 101048
Author(s):  
Christoph Strupat ◽  
Gabriela Farfán ◽  
Laura Moritz ◽  
Mario Negre ◽  
Renos Vakis

2021 ◽  
pp. 1-29
Author(s):  
Zach Conrad ◽  
Sarah Reinhardt ◽  
Rebecca Boehm ◽  
Acree McDowell

Abstract Objectives: To evaluate the association between diet quality and cost for foods purchased for consumption at home and away from home. Design: Cross-sectional analysis. Multivariable linear regression models evaluated the association between diet quality and cost for all food, food at home, and food away from home. Setting: Daily food intake data from the National Health and Nutrition Examination Survey (2005-2016). Food prices were derived using data from multiple, publicly available databases. Diet quality was assessed using the Healthy Eating Index-2015 and the Alternative Healthy Eating Index-2010. Participants: 30,564 individuals ≥20 y with complete and reliable dietary data. Results: Mean per capita daily diet cost was $14.19 (95% CI: $13.91-14.48), including $6.92 ($6.73-7.10) for food consumed at home and $7.28 ($7.05-7.50) for food consumed away from home. Diet quality was higher for food at home compared to food away from home (P<0.001). Higher diet quality was associated with higher food costs overall, at home, and away from home (P<0.001 for all comparisons). Conclusions: These findings demonstrate that higher diet quality is associated with higher costs for all food, food consumed at home, and food consumed away from home. This research provides policymakers, public health professionals, and clinicians with information needed to support healthy eating habits. These findings are particularly relevant to contemporary health and economic concerns that have worsened because of the COVID-19 pandemic.


2020 ◽  
Author(s):  
Mayra S Crespo-Bellido ◽  
Stephanie K Grutzmacher ◽  
Yumie Takata ◽  
Ellen Smit

ABSTRACT Background For decades, Americans have increasingly relied on food away from home (FAFH) despite its association with negative health outcomes. Little is known about FAFH frequency and expenditures of adults with lower food security (FS) and their association with health outcomes, such as BMI. Objectives We evaluated patterns of adults’ FAFH purchases by FS status and other demographic characteristics, and examined the association between FAFH frequency and BMI in adults of varying levels of FS. Methods This cross-sectional study used data from the Consumer Behavior Survey, Food Security Survey, and anthropometric measurements to assess FAFH frequency and expenditures, FS, and calculated BMI of adults (≥18 y) who participated in the NHANES 2007–2014 (n = 20,733). We used multinomial logistic regression to examine the association between FAFH frequency quartiles (quartile 1: 0 n/wk; quartile 2: 1–2 n/wk; quartile 3: 3–4 n/wk; quartile 4: ≥5 n/wk) and BMI by FS category. Results Although FAFH frequency was similar across FS levels, adults with high FS spent more dollars (${\$}$213.60) and a greater proportion (29.4%) of their food budget on FAFH compared with adults with marginal, low, and very low FS (${\$}$133.00, ${\$}$116.20, ${\$}$103.30 and 21.4%, 19.7%, 20.0%, respectively). Obesity prevalence was highest in adults with low FS (42.9%) and very low FS (41.5%), and lowest in adults with high FS (33.7%). FAFH frequency and BMI were positively associated in adults with high (P &lt; 0.001), marginal (P = 0.025), and low (P = 0.024) FS, but not in adults with very low FS (P = 0.589). Conclusions FAFH is frequent in adults regardless of FS status. The positive association between FAFH and BMI is the strongest in adults with high FS, the group with the lowest prevalence of obesity. Conversely, BMI was not associated with FAFH in adults with very low FS, despite their higher prevalence of obesity.


Food Policy ◽  
2020 ◽  
Vol 97 ◽  
pp. 101918
Author(s):  
Zhigang Xu ◽  
Zongli Zhang ◽  
Haiyan Liu ◽  
Funing Zhong ◽  
Junfei Bai ◽  
...  

Food Security ◽  
2020 ◽  
Author(s):  
Deepthi E. Kolady ◽  
Shivendra Kumar Srivastava ◽  
David Just ◽  
Jaspal Singh

Abstract India experienced a consumption puzzle since the 1970s, whereby households’ calorie intakes declined over time, despite significant economic growth. This declining trend in calorie intake (consumption puzzle) was reversed for the first time in 2011–12. This is the first empirical study that investigates the relationship between refinements in data collection on food away from home (FAFH) and the trend reversal in per capita calorie intake decline in India. Findings from the study showed that the declining trend in calorie intake in India has been partly due to measurement issues and that correcting for these issues through refinements in data collection for FAFH in 2011–12 had a positive effect on the reversal of the calorie intake decline. India uses per capita calorie intake estimated using data from HCES to define the official poverty line, a benchmark used in designing many social welfare programs. Incorrect estimates of calorie intake will have negative implications on the effectiveness of welfare programs aimed at reducing food insecurity. Findings from this study provide insights for further improvement in data collection regarding household-level consumption expenditures. The study has implications not only for India but also for other countries that use household-level consumption data to understand diets and to design food and nutrition programs.


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