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For: Albalawi AA, Hambly C, Speakman JR. Consumption of takeaway and delivery meals is associated with increased BMI and percent fat among UK Biobank participants. Am J Clin Nutr 2022;116:173-188. [PMID: 35681260 PMCID: PMC9257477 DOI: 10.1093/ajcn/nqac078] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Accepted: 03/28/2022] [Indexed: 01/22/2023] Open

For:	Albalawi AA, Hambly C, Speakman JR. Consumption of takeaway and delivery meals is associated with increased BMI and percent fat among UK Biobank participants. Am J Clin Nutr 2022;116:173-188. [PMID: 35681260 PMCID: PMC9257477 DOI: 10.1093/ajcn/nqac078] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Accepted: 03/28/2022] [Indexed: 01/22/2023] Open

Number

Cited by Other Article(s)

Giacomini G, Scacchi A, Ragusa P, Prinzivalli A, Elhadidy HSMA, Gianino MM. Which variables and determinants influence online food delivery consumption among workers and students? Results from the DELIvery Choice In OUr Society (DELICIOUS) cross-sectional study. Front Public Health 2024;11:1326628. [PMID: 38259773 PMCID: PMC10801387 DOI: 10.3389/fpubh.2023.1326628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Accepted: 12/18/2023] [Indexed: 01/24/2024] Open

Abstract

Introduction

Online food delivery (OFD) applications provide easy access to food, eliminating the need for cooking and meal planning. However, they predominantly promote processed and calorie-dense foods, potentially impacting diet and health. This study aimed to describe the use of OFD services in a sample of Italian workers and students, to explore potential determinants of OFD usage and to assess possible differences in use between these two categories.

Methods

Data were collected through an online survey (convenience sampling) distributed on social media platforms between July 12, 2022, and February 1, 2023. The sample included individuals aged 18 and above, currently residing in Italy. The sample was stratified according to worker/student status. Descriptive analyses were performed on key variables. A multivariable logistic regression analysis was conducted to assess the effects of variables on OFD usage, treated as a dichotomous variable (usage or non-usage).

Results

This study analyzed 3,502 questionnaires (2,594 from workers and 908 from students) after excluding 323 non-student and non-worker responses. Positive associations with OFD use included higher income, remote working, smoking, elevated BMI, depression risk, and impulsive buying among workers, while being female, frequent screen-watching during meals, daily smoking, higher BMI, and impulsive buying were associated with OFD use among students. Factors negatively associated with OFD use included older age (workers and students), living in suburbs (workers and students) or in an outline town (workers), being single (workers and students), adhering to the Mediterranean diet (students), having low health literacy (students), and job dissatisfaction (workers).

Discussion

OFD consumption was associated with some risky behaviors and conditions, such as high BMI or smoking, suggesting that it might be influenced by individual tendencies. Healthier habits, such as physical activity, did not significantly impact OFD usage, especially among workers. Whereas, among students, factors such as low health literacy and better eating habits were associated with less use of OFD, so that they could be more prone to use OFD in a measured way. Further research is needed to better understand potential associations between OFD and risky habits, as well as its role in promoting access to healthy food in underserved areas.

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Jing H, Teng Y, Chacha S, Wang Z, Shi G, Mi B, Zhang B, Cai J, Liu Y, Li Q, Shen Y, Yang J, Kang Y, Li S, Liu D, Wang D, Yan H, Dang S. Is Increasing Diet Diversity of Animal-Source Foods Related to Better Health-Related Quality of Life among Chinese Men and Women? Nutrients 2023;15:4183. [PMID: 37836467 PMCID: PMC10574670 DOI: 10.3390/nu15194183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2023] [Revised: 09/12/2023] [Accepted: 09/25/2023] [Indexed: 10/15/2023] Open

Abstract

Diet plays a crucial role in regulating individuals' lifestyles and is closely related to health. The intake of animal-sourced foods (ASF) provides the human body with high-quality protein and various micronutrients. This study aimed to investigate whether the diversity of animal foods has a positive impact on the health-related quality of life (HRQoL) among residents. The data came from the Shaanxi baseline survey of the Northwest Chinese Regional Ethnic Cohort Study, which recruited more than 100 thousand participants aged 35 to 74 from five provinces between June 2018 and May 2019. A total of 39,997 participants in Shaanxi (mean age: 50 years; 64% women) were finally included in this current study. The animal source food diet diversity score (ASFDDS) was established based on the frequency of consuming pork, mutton, beef, poultry, seafood, eggs, pure milk, and yogurt. The physical component score (PCS) and mental component score (MCS), ranging from 0 to 100 on the 12-Item Short Form Survey (SF-12), were used to assess participants' HRQoL. Better PCS/MCS was defined as scores higher than the 90th percentile. The results showed that men had a higher intake of ASF and ASFDDS than women. After adjusting for potential confounders, compared with those who never or rarely consumed animal foods, the likelihood of having better PCS and MCS increased by 16% (OR = 1.16, 95%CI: 1.01-1.34) and 24% (OR = 1.24, 95%CI: 1.03-1.448), respectively, in men with an ASFDDS ≥ 2. In women, a 34% increase (OR = l.34, 95%CI: 116-l.54) likelihood for better PCS was observed for an ASFDDS ≥ 2, but no association was observed for MCS. Increasing each specific animal source's food intake was associated with better PCS after adjusting for all covariates. However, for MCS, positive associations were only observed in seafood consumption among men and eggs among women. Restricted cubic splines showed a substantial dose-response association between intake frequency of animal-source foods and PCS, both in men and women. The study suggests that a diverse intake of animal-sourced foods can potentially improve the HRQoL of Chinese adults.

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Affiliation(s)

Hui Jing Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an 710061, China; (H.J.); (Y.T.); (S.C.); (Z.W.); (G.S.); (B.M.); (B.Z.); (J.C.); (Y.L.); (Q.L.); (Y.S.); (J.Y.); (Y.K.); (S.L.); (D.L.)
Yuxin Teng Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an 710061, China; (H.J.); (Y.T.); (S.C.); (Z.W.); (G.S.); (B.M.); (B.Z.); (J.C.); (Y.L.); (Q.L.); (Y.S.); (J.Y.); (Y.K.); (S.L.); (D.L.)
Samuel Chacha Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an 710061, China; (H.J.); (Y.T.); (S.C.); (Z.W.); (G.S.); (B.M.); (B.Z.); (J.C.); (Y.L.); (Q.L.); (Y.S.); (J.Y.); (Y.K.); (S.L.); (D.L.)
Ziping Wang Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an 710061, China; (H.J.); (Y.T.); (S.C.); (Z.W.); (G.S.); (B.M.); (B.Z.); (J.C.); (Y.L.); (Q.L.); (Y.S.); (J.Y.); (Y.K.); (S.L.); (D.L.)
Guoshuai Shi Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an 710061, China; (H.J.); (Y.T.); (S.C.); (Z.W.); (G.S.); (B.M.); (B.Z.); (J.C.); (Y.L.); (Q.L.); (Y.S.); (J.Y.); (Y.K.); (S.L.); (D.L.)
Baibing Mi Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an 710061, China; (H.J.); (Y.T.); (S.C.); (Z.W.); (G.S.); (B.M.); (B.Z.); (J.C.); (Y.L.); (Q.L.); (Y.S.); (J.Y.); (Y.K.); (S.L.); (D.L.)
Binyan Zhang Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an 710061, China; (H.J.); (Y.T.); (S.C.); (Z.W.); (G.S.); (B.M.); (B.Z.); (J.C.); (Y.L.); (Q.L.); (Y.S.); (J.Y.); (Y.K.); (S.L.); (D.L.)
Jiaxin Cai Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an 710061, China; (H.J.); (Y.T.); (S.C.); (Z.W.); (G.S.); (B.M.); (B.Z.); (J.C.); (Y.L.); (Q.L.); (Y.S.); (J.Y.); (Y.K.); (S.L.); (D.L.)
Yezhou Liu Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an 710061, China; (H.J.); (Y.T.); (S.C.); (Z.W.); (G.S.); (B.M.); (B.Z.); (J.C.); (Y.L.); (Q.L.); (Y.S.); (J.Y.); (Y.K.); (S.L.); (D.L.)
Qiang Li Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an 710061, China; (H.J.); (Y.T.); (S.C.); (Z.W.); (G.S.); (B.M.); (B.Z.); (J.C.); (Y.L.); (Q.L.); (Y.S.); (J.Y.); (Y.K.); (S.L.); (D.L.)
Yuan Shen Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an 710061, China; (H.J.); (Y.T.); (S.C.); (Z.W.); (G.S.); (B.M.); (B.Z.); (J.C.); (Y.L.); (Q.L.); (Y.S.); (J.Y.); (Y.K.); (S.L.); (D.L.)
Jiaomei Yang Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an 710061, China; (H.J.); (Y.T.); (S.C.); (Z.W.); (G.S.); (B.M.); (B.Z.); (J.C.); (Y.L.); (Q.L.); (Y.S.); (J.Y.); (Y.K.); (S.L.); (D.L.)
Yijun Kang Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an 710061, China; (H.J.); (Y.T.); (S.C.); (Z.W.); (G.S.); (B.M.); (B.Z.); (J.C.); (Y.L.); (Q.L.); (Y.S.); (J.Y.); (Y.K.); (S.L.); (D.L.)
Shanshan Li Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an 710061, China; (H.J.); (Y.T.); (S.C.); (Z.W.); (G.S.); (B.M.); (B.Z.); (J.C.); (Y.L.); (Q.L.); (Y.S.); (J.Y.); (Y.K.); (S.L.); (D.L.)
Danmeng Liu Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an 710061, China; (H.J.); (Y.T.); (S.C.); (Z.W.); (G.S.); (B.M.); (B.Z.); (J.C.); (Y.L.); (Q.L.); (Y.S.); (J.Y.); (Y.K.); (S.L.); (D.L.)
Duolao Wang Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool L7 8XZ, UK;
Hong Yan Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an 710061, China; (H.J.); (Y.T.); (S.C.); (Z.W.); (G.S.); (B.M.); (B.Z.); (J.C.); (Y.L.); (Q.L.); (Y.S.); (J.Y.); (Y.K.); (S.L.); (D.L.)
Shaonong Dang Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an 710061, China; (H.J.); (Y.T.); (S.C.); (Z.W.); (G.S.); (B.M.); (B.Z.); (J.C.); (Y.L.); (Q.L.); (Y.S.); (J.Y.); (Y.K.); (S.L.); (D.L.)

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Bianchi F, Luick M, Bandy L, Bone J, Kelly S, Farrington J, Leung J, Mottershow A, Murar F, Jebb SA, Harper H, Pechey R. The impact of altering restaurant and menu option position on food selected from an experimental food delivery platform: a randomised controlled trial. Int J Behav Nutr Phys Act 2023;20:60. [PMID: 37208720 PMCID: PMC10197857 DOI: 10.1186/s12966-023-01456-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Accepted: 04/24/2023] [Indexed: 05/21/2023] Open

Abstract

BACKGROUND

Overconsumption is one of the most serious public health challenges in the UK and has been linked to increased consumption of food ordered through delivery platforms. This study tested whether repositioning foods and/or restaurant options in a simulated food delivery platform could help to reduce the energy content of users' shopping basket.

METHODS

UK adult food delivery platform users (N = 9,003) selected a meal in a simulated platform. Participants were randomly allocated to a control condition (choices listed randomly) or to one of four intervention groups, (1) food options listed in ascending order of energy content, (2) restaurant options listed in ascending order of average energy content per main meal, (3) interventions 1 and 2 combined (4) interventions 1 and 2 combined, but food and restaurant options repositioned based on a kcal/price index to display options lower in energy but higher in price at the top. Gamma regressions assessed the impact of interventions on total energy content of baskets at checkout.

RESULTS

The energy content of participants' baskets in the control condition was 1382 kcals. All interventions significantly reduced energy content of baskets: Compared to control, repositioning both foods and restaurants purely based on energy content of options resulted in the greatest effect (-209kcal; 95%CIs: -248,-168), followed by repositioning restaurants (-161kcal; 95%CIs: -201,-121), repositioning restaurants and foods based on a kcal/price index (-117kcals; 95%CI: -158,-74) and repositioning foods based on energy content (-88kcals; 95%CI: -130,-45). All interventions reduced the basket price compared to the control, except for the intervention repositioning restaurants and foods based on a kcal/price index, which increased the basket price.

CONCLUSIONS

This proof-of-concept study suggests repositioning lower-energy options more prominently may encourage lower energy food choices in online delivery platforms and can be implemented in a sustainable business model.

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Popkin BM. Does excessive fast-food consumption impair our health? Am J Clin Nutr 2022;116:11-12. [PMID: 35679428 DOI: 10.1093/ajcn/nqac110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023] Open