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      Meal-time Smartphone Use in an Obesogenic Environment: Two Longitudinal Observational Studies

      research-article
      , BA 1 , , PhD 2 , , PhD 1 , 3 ,
      (Reviewer), (Reviewer)
      JMIR mHealth and uHealth
      JMIR Publications
      screen time, mobile phones, technology, obesogenic environment, young adults

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          Abstract

          Background

          Despite a large volume of research on the impact of other digital screens (eg, televisions) on eating behavior, little is known about the nature and impact of mealtime smartphone use.

          Objective

          We investigated how smartphones are used in everyday meals, whether phone users differ according to mealtime phone use patterns, and whether specific phone functions (particularly food photography) would affect the amount and enjoyment of food eaten.

          Methods

          Across 2 studies, we used the experience sampling method to track 1780 meals in situ. In study 1, a total 137 young adults reported on their mealtime smartphone use 3 times per day over 7 consecutive days. This corresponded to each main meal, with participants recording whether they used their phones and what phone functions they engaged in while eating. In study 2, a total of 71 young adults were similarly tracked for 3 meals per day over 7 days. Across the week, participants’ meals were randomized to 1 of 3 smartphone conditions: food photography while eating, nonfood photography while eating, or no phone use. As the outcome measures, participants reported on the amount and enjoyment of food they ate.

          Results

          During the week-long tracking, most participants (110/129, 85.3%) recorded at least one instance of mealtime smartphone use, with an average frequency of 1 in 3 meals where phones were used (27.1%; 95% CI 23.6-30.6). Unlike traditional digital screens, mealtime phone use encompassed a wide range of social and nonsocial activities. Further, specific forms of phone use behaviors influenced food intake in different ways. Specifically, in study 2, participants showed the typical pattern of increased food intake across the day when they engaged in nonfood photography during a meal ( P<.001); however, this pattern was disrupted when they engaged in food photography ( P=.73).

          Conclusions

          Our findings underscore the prevalence and multifaceted nature of mealtime phone use, distinguishing mobile phones from traditional forms of digital screens.

          Trial Registration

          ClinicalTrials.gov NCT03299075; https://www.clinicaltrials.gov/ct2/show/NCT03299075 and ClinicalTrials.gov NCT03346785; https://clinicaltrials.gov/ct2/show/NCT03346785

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          Most cited references58

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          Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies.

          (2004)
          A WHO expert consultation addressed the debate about interpretation of recommended body-mass index (BMI) cut-off points for determining overweight and obesity in Asian populations, and considered whether population-specific cut-off points for BMI are necessary. They reviewed scientific evidence that suggests that Asian populations have different associations between BMI, percentage of body fat, and health risks than do European populations. The consultation concluded that the proportion of Asian people with a high risk of type 2 diabetes and cardiovascular disease is substantial at BMIs lower than the existing WHO cut-off point for overweight (> or =25 kg/m2). However, available data do not necessarily indicate a clear BMI cut-off point for all Asians for overweight or obesity. The cut-off point for observed risk varies from 22 kg/m2 to 25 kg/m2 in different Asian populations; for high risk it varies from 26 kg/m2 to 31 kg/m2. No attempt was made, therefore, to redefine cut-off points for each population separately. The consultation also agreed that the WHO BMI cut-off points should be retained as international classifications. The consultation identified further potential public health action points (23.0, 27.5, 32.5, and 37.5 kg/m2) along the continuum of BMI, and proposed methods by which countries could make decisions about the definitions of increased risk for their population.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            The Dutch Eating Behavior Questionnaire (DEBQ) for assessment of restrained, emotional, and external eating behavior

              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Dissecting obesogenic environments: the development and application of a framework for identifying and prioritizing environmental interventions for obesity.

              The "obesogenicity" of modern environments is fueling the obesity pandemic. We describe a framework, known as ANGELO (analysis grid for environments linked to obesity), which is a conceptual model for understanding the obesogenicity of environments and a practical tool for prioritizing environmental elements for research and intervention. Development of the ANGELO framework. The basic framework is a 2 x 4 grid which dissects the environment into environmental size (micro and macro) by type: physical (what is available), economic (what are the costs), political (what are the "rules"), and sociocultural (what are the attitudes and beliefs). Within this grid, the elements which influence food intake and physical activity are characterized as obesogenic or "leptogenic" (promoting leanness). Application of the ANGELO framework. The ANGELO framework has been piloted at the population level (island communities) to prioritize the settings/sectors for intervention and at the setting level (fast food outlets) to prioritize research needs and interventions. Environmental elements were prioritized by rating their validity (evidence of impact), relevance (to the local context), and potential changeability. The ANGELO framework appears to be a flexible and robust instrument for the needs analysis and problem identification stages of reducing the obesogenicity of modern environments. Copyright 1999 American Health Foundation and Academic Press.
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                Author and article information

                Contributors
                Journal
                JMIR Mhealth Uhealth
                JMIR Mhealth Uhealth
                JMU
                JMIR mHealth and uHealth
                JMIR Publications (Toronto, Canada )
                2291-5222
                May 2021
                6 May 2021
                : 9
                : 5
                : e22929
                Affiliations
                [1 ] Division of Social Sciences Yale–National University of Singapore College Singapore Singapore
                [2 ] Department of Psychology National University of Singapore Singapore Singapore
                [3 ] Neuroscience and Behavioral Disorders Programme Duke-National University of Singapore Medical School Singapore Singapore
                Author notes
                Corresponding Author: Jean C J Liu jeanliu@ 123456yale-nus.edu.sg
                Author information
                https://orcid.org/0000-0003-0926-8516
                https://orcid.org/0000-0002-8724-650X
                https://orcid.org/0000-0003-0137-3450
                Article
                v9i5e22929
                10.2196/22929
                8138713
                33955842
                b1174241-a06c-44e4-826f-1e2b0171e5f7
                ©Joceline Y Y Yong, Eddie M W Tong, Jean C J Liu. Originally published in JMIR mHealth and uHealth (https://mhealth.jmir.org), 06.05.2021.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mHealth and uHealth, is properly cited. The complete bibliographic information, a link to the original publication on https://mhealth.jmir.org/, as well as this copyright and license information must be included.

                History
                : 2 August 2020
                : 10 September 2020
                : 30 September 2020
                : 11 April 2021
                Categories
                Original Paper
                Original Paper

                screen time,mobile phones,technology,obesogenic environment,young adults

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