{"id":89700,"date":"2023-02-21T15:58:53","date_gmt":"2023-02-21T14:58:53","guid":{"rendered":"https:\/\/aprifel-pp.mentalworks.biz\/?post_type=article_revue&#038;p=89700"},"modified":"2023-03-23T14:30:09","modified_gmt":"2023-03-23T13:30:09","slug":"relation-between-screen-time-and-dietary-choices-less-fruit-and-vegetables-consumed-by-heavy-users","status":"publish","type":"article_revue","link":"https:\/\/aprifel-pp.mentalworks.biz\/en\/global-fv-newsletter-article\/relation-between-screen-time-and-dietary-choices-less-fruit-and-vegetables-consumed-by-heavy-users\/","title":{"rendered":"Relation between screen-time and dietary choices: less fruit and vegetables consumed by \u201cheavy users\u201d"},"content":{"rendered":"\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"450\" src=\"https:\/\/aprifel-pp.mentalworks.biz\/wp-content\/uploads\/2023\/02\/Article-3-ok.jpg\" alt=\"screen-time and dietary choices- GFVN - February 2023\" class=\"wp-image-90049\"\/><\/figure>\n\n\n\n<p><strong>Television viewing<\/strong> represents one of the<strong> most common sedentary behaviors<\/strong> among the US population, with adults watching approximately 34h per week. It is also a <strong>significant predictor for many non-communicable diseases and all-cause mortality<\/strong>. Particularly, watching two or more hours of television per day has been <strong>associated with adverse health behaviors<\/strong>, numerous chronic diseases, cancer-related mortality and early mortality generally. Moreover, long hours of screen time have been associated with <strong>poor dietary patterns<\/strong> among adults, including higher consumption of sugar and <strong>lower intake of fiber, fruit and vegetables<\/strong> (<a href=\"https:\/\/jamanetwork.com\/journals\/jamainternalmedicine\/article-abstract\/648479\" target=\"_blank\" rel=\"noreferrer noopener\">Hu, 2001<\/a> ; <a href=\"https:\/\/jamanetwork.com\/journals\/jama\/article-abstract\/196345\" target=\"_blank\" rel=\"noreferrer noopener\">Hu, 2003<\/a> ; <a href=\"https:\/\/diabetesjournals.org\/care\/article\/27\/11\/2603\/23793\/Physical-Activity-and-Television-Viewing-in\" target=\"_blank\" rel=\"noreferrer noopener\">Dunstan, 2004<\/a> ; <a href=\"https:\/\/stacks.cdc.gov\/view\/cdc\/20011\" target=\"_blank\" rel=\"noreferrer noopener\">Bowman, 2006<\/a> ; <a href=\"https:\/\/onlinelibrary.wiley.com\/doi\/full\/10.1111\/j.1753-0407.2009.00047.x\" target=\"_blank\" rel=\"noreferrer noopener\">Ford, 2010<\/a>).<\/p>\n\n\n\n<p>The aim of this study was to explore whether <strong>extended use of a variety of screen-based devices<\/strong>, in addition to television, was associated with <strong>dietary habits, physical activity, stress, sleep, and sleep quality <\/strong>among US adults.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-heavy-users-of-screens-consumes-few-fruit-and-vegetables\">\u00ab Heavy users \u00bb of screens consumes few fruit and vegetables<\/h2>\n\n\n\n<p>The present study found <strong>poorer dietary habits <\/strong>among individuals spending a <strong>significant portion of their day using a variety of screen-based devices<\/strong> (i.e., total screen time). These \u201cheavy users\u201d reported the least healthy dietary patterns (e.g., they consumed <strong>few fruits\/vegetables<\/strong> and regularly consumed sodas\/sweet tea), the lowest frequency of meals shared with the family without screens on, and the highest frequency of fast-food consumption. When analyzed separately by type of screen, only \u201c<strong>heavy users<\/strong>\u201d of television and smartphones showed statistically different scores in dietary patterns compared to the other groups.<\/p>\n\n\n\n<p>The results also highlight the <strong>importance of separately exploring the impact of different screen devices<\/strong> on dietary habits instead of focusing only on an aggregate measure of total screen time.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-links-between-family-meals-in-front-of-the-tv-and-health-to-be-clarified\">Links between family meals in front of the TV and health to be clarified<\/h2>\n\n\n\n<p>Both \u201cheavy users\u201d of TV and TV-connected devices reported a <strong>statistically higher frequency of family meals while watching TV<\/strong>. However, frequency of family meals has been identified as a predictor of healthier dietary patterns and better weight management among children and adolescents (<a href=\"https:\/\/publications.aap.org\/pediatrics\/article-abstract\/127\/6\/e1565\/30112\/Is-Frequency-of-Shared-Family-Meals-Related-to-the\" target=\"_blank\" rel=\"noreferrer noopener\">Hammons, 2011<\/a>). This association could be explained by the fact that frequent family meals may support improved family cohesion, problem-solving, and emotional coping which are considered as mediators of improved health outcomes (<a href=\"https:\/\/psycnet.apa.org\/record\/2008-03488-003\" target=\"_blank\" rel=\"noreferrer noopener\">Franko, 2008<\/a>). Yet, it remains unclear if the potential of family meals to support more healthful outcomes for children and families could be <strong>disrupted by watching television<\/strong> or otherwise engaging in screen time during those meals. Given that \u00ab heavy users \u00bb of screens in the study reported the greatest number of days sharing a family meal while watching television as well as the highest intake of fast foods, more research is needed <strong>to explore how simultaneous engagement in screen time and family meals might relate to the emotional and physical health of families<\/strong>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-binge-watching-a-growing-phenomenon-associated-with-unhealthy-dietary-habits\">\u00ab Binge watching \u00bb, a growing phenomenon associated with unhealthy dietary habits<\/h2>\n\n\n\n<p>Binge-watching is defined as the continuous consumption of screen-based entertainment facilitated in part by media streaming services and television-connected devices. In this study, <strong>binge-watching<\/strong> was significantly associated with the <strong>least healthy dietary habits<\/strong>, frequency of fast-food consumption and eating family meals in front of the television. Heavy users of all screens also reported the lowest physical activity, self-rated health, hours of sleep, sleep quality, and highest perceived stress. In sum, results indicate that <strong>prolonged screen time may be associated with a constellation of diverse factors that adversely impact health<\/strong>, perhaps differentially by type of screen.<\/p>\n\n\n\n<p>Future studies should continue to investigate <strong>how various screen-based devices might affect health behaviors<\/strong> and subsequently health-related outcomes in the long-term.<\/p>\n\n\n\n<p><strong>Based on<\/strong>: Vizcaino, M et al. From TVs to tablets: the relation between device-specific screen time and health-related behaviors and characteristics. BMC Public Health, 2020; 20(1) :1295<\/p>\n\n\n\n<div class=\"block__stylized-list\">\n    <div class=\"block__stylized-list__leading\" id=\"block__stylized-list__leading\">\n        <i class=\"fa-classic fa-regular fa-pen-to-square\" aria-hidden=\"true\"><\/i>\n        <strong>Methodology<\/strong>\n    <\/div>\n    <div id=\"block__stylized-list__content\" style=\"display: none;\"><ul>\n<li>Participants : adults 18 years-old ans older, English speaker, current US residents, and owners of a television and at least one other device with a screen, who are used to watching television at least 2h per day on most days<\/li>\n<li>A survey to assess screen time across multiple devices &#038; dietary habits distributed via Amazon Mechanical Turk (MTurck)<\/li>\n<li>Use of the Qualtrics platform<\/li>\n<li>Data collection conducted during August 2019<br \/>\n<\/div>\n<\/div>\n\n\n\n<div class=\"block__solid-colored\">\n    <div class=\"block__solid-colored__leading\">\n        <i class=\"fa-classic fa-regular fa-square-check\" aria-hidden=\"true\"><\/i>\n        <strong>Key messages<\/strong>\n    <\/div>\n    <div class=\"block__solid-colored__content\"><ul>\n<li>Poorer dietary choices, as well as other negative health-related impacts, occurred more often as the viewing time of a variety of different screen-based devices increased in a sample of US adults.<\/li>\n<li>\u201cHeavy users\u201d of screens reported the least healthy dietary patterns (e.g. they consumed few fruits\/vegetables and regularly consumed sodas\/sweet tea), the lowest frequency of meals shared with the family without screens on, and the highest frequency of fast food consumption<\/li>\n<li>Future research is needed to better understand what factors among different screen-based devices might affect health behaviors and in turn health-related outcomes.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n\n\n\n<div class=\"block__reference\">\n    <div class=\"block__reference__leading\" id=\"block__reference__leading\">\n        <i class=\"fa-classic fa-solid fa-share-from-square\" aria-hidden=\"true\"><\/i>\n        <strong>References<\/strong>\n    <\/div>\n    <div class=\"block__reference__entries\" id=\"block__reference__entries\" style=\"display: none;\">\n                    <div class=\"block__reference__entry\">\n                <i class=\"fa-classic fa-solid fa-share\" aria-hidden=\"true\"><\/i>\n                <span>Hu FB, Leitzmann MF, Stampfer MJ, Colditz GA, Willett WC, Rimm EB. Physical activity and television watching in relation to risk for type 2 diabetes mellitus in men. Arch Intern Med. 2001; 161:1542\u20138.<\/span>\n            <\/div>\n                    <div class=\"block__reference__entry\">\n                <i class=\"fa-classic fa-solid fa-share\" aria-hidden=\"true\"><\/i>\n                <span>Hu FB, Li TY, Colditz GA, Willett WC, Manson JE. Television watching and other sedentary behaviors in relation to risk of obesity and type 2 diabetes mellitus in women. JAMA. 2003; 289:1785\u201391.<\/span>\n            <\/div>\n                    <div class=\"block__reference__entry\">\n                <i class=\"fa-classic fa-solid fa-share\" aria-hidden=\"true\"><\/i>\n                <span>Dunstan DW, Salmon J, Owen N, Armstrong T, Zimmet PZ, Welborn TA, et al. Physical activity and television viewing in relation to risk of undiagnosed abnormal glucose metabolism in adults. Diabetes Care. 2004; 27:2603\u20139. Bowman SA. Television-viewing characteristics of adults: correlations to eating practices and overweight and health status. Prev Chronic Dis. 2006; 3: 1\u201311.<\/span>\n            <\/div>\n                    <div class=\"block__reference__entry\">\n                <i class=\"fa-classic fa-solid fa-share\" aria-hidden=\"true\"><\/i>\n                <span>Ford ES, Schulze MB, Kr\u00f6ger J, Pischon T, Bergmann MM, Boeing H. Television watching and incident diabetes: findings from the European prospective investigation into Cancer and nutrition-Potsdam study. J Diabetes. 2010; 2:23\u20137.<\/span>\n            <\/div>\n                    <div class=\"block__reference__entry\">\n                <i class=\"fa-classic fa-solid fa-share\" aria-hidden=\"true\"><\/i>\n                <span>Hammons A, Fiese B. Is frequency of shared family meals related to the nutritional health of children and adolescents? Pediatrics. 2011; 127(6): e1565e1574<\/span>\n            <\/div>\n                    <div class=\"block__reference__entry\">\n                <i class=\"fa-classic fa-solid fa-share\" aria-hidden=\"true\"><\/i>\n                <span> Franko DL, Thompson D, Affenito SG, Barton BA, Striegel-Moore RH. What mediates the relationship between family meals and adolescent health issues? Health Psychol. 2008; 27(2, Suppl):S109\u201317.<\/span>\n            <\/div>\n            <\/div>\n<\/div>\n","protected":false},"template":"","class_list":["post-89700","article_revue","type-article_revue","status-publish","hentry"],"acf":{"auteur":"","source":"","revue":[{"ID":89654,"post_author":"25","post_date":"2023-02-21 15:59:50","post_date_gmt":"2023-02-21 14:59:50","post_content":"<!-- wp:image {\"id\":90026,\"sizeSlug\":\"full\",\"linkDestination\":\"none\"} -->\n<figure class=\"wp-block-image size-full\"><img src=\"https:\/\/aprifel-pp.mentalworks.biz\/wp-content\/uploads\/2023\/02\/Edito-ok.jpg\" alt=\"Comportements alimentaires mouvement et sommeil - \u00e9dito Equation Nutrition - f\u00e9vrier 2023\" class=\"wp-image-90026\"\/><\/figure>\n<!-- \/wp:image -->\n\n<!-- wp:image -->\n<figure class=\"wp-block-image\"><img alt=\"\"\/><\/figure>\n<!-- \/wp:image -->\n\n<!-- wp:paragraph -->\n<p>Our <strong>lifestyles<\/strong>, i.e., diet, physical activity, sedentary behaviors and sleep, have long been known to have a direct impact on our <strong>physical and mental health<\/strong>. Indeed, physical inactivity, sedentary time and unhealthy diets figure among the four major risk factors of noncommunicable diseases responsible for 74% of all deaths worldwide (<a href=\"https:\/\/www.who.int\/news-room\/fact-sheets\/detail\/noncommunicable-diseases\" target=\"_blank\" rel=\"noreferrer noopener\">WHO, 2022<\/a>). While some studies start suggesting that physical activity might be strongly <strong>associated with healthier eating habits <\/strong>(<a href=\"http:\/\/medpr.imp.lodz.pl\/Association-between-Mediterranean-diet-and-high-physical-activity-among-working-population,95029,0,2.html\" target=\"_blank\" rel=\"noreferrer noopener\">Pavicic \u017de\u017delj, 2019<\/a>), research is <strong>emerging <\/strong>on the <strong>association <\/strong>between <strong>sedentary behavior and diet<\/strong> as well as between <strong>diet and sleep<\/strong>.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>This issue of the Global Fruit &amp; Veg Newsletter shares three recent studies that aim to assess those links.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>The first article highlights the role of diet, and particularly of <strong>fruit and vegetables in impacting sleep quality<\/strong>, with the most significant associations in women. Indeed, they observed <strong>improvements in insomnia symptoms<\/strong>, <strong>sleep quality<\/strong>, and <strong>time to fall asleep<\/strong> in women who <strong>increased fruit and vegetables intake by 3<\/strong> <strong>or more servings <\/strong>compared to those who did not change or decreased their fruit and vegetables intake.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>The second article analyzes the <strong>association between physical activity and eating habits during the COVID-19 quarantine<\/strong> among Brazilian adults. During this lockdown period, young adults mostly have experienced major changes in their behaviors, which make the originality of this article compared to others. <strong>Physical activity<\/strong> was <strong>positively associated to healthier eating habits<\/strong> (including fruit and vegetables intake) and <strong>inversely related to lower consumption of sweets and fried foods<\/strong>.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>Finally, the <strong>association between sedentary behaviors and health-related behaviors<\/strong> was studied in the last article. According to the state of art, this is the first study to explore whether extended use of a variety of screen-based devices, in addition to television, was associated with dietary habits and other health-related characteristics and behaviors among US adults. <strong>Poorer dietary choices<\/strong>, as well as other <strong>negative health-related impacts<\/strong>, <strong>occurred more often as the viewing time of a variety of different screen-based devices increased<\/strong>.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>Although the different components of our lifestyle are closely related to each other, studies evaluate their relationship with health independently. This stresses the need to conduct research that considers all four components with an integrated approach to better understand interactions.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:acf\/pictureable {\"name\":\"acf\/pictureable\",\"data\":{\"authors_0_fully_name\":\"David Thivel \",\"_authors_0_fully_name\":\"field_pictureable_author_fully_name\",\"authors_0_profession\":\"Professor, Clermont Auvergne University, FRANCE\",\"_authors_0_profession\":\"field_pictureable_author_profession\",\"authors_0_information\":\"\",\"_authors_0_information\":\"field_pictureable_author_information\",\"authors_0_picture\":89698,\"_authors_0_picture\":\"field_pictureable_author_picture\",\"authors\":1,\"_authors\":\"field_pictureable_authors\"},\"align\":\"center\",\"mode\":\"auto\"} \/-->\n\n<!-- wp:acf\/about {\"name\":\"acf\/about\",\"data\":{\"title\":\"About the author\",\"_title\":\"field_about_title\",\"content\":\"David Thivel holds a PhD in Exercise Physiology and Human Nutrition (INRAE and Blaise Pascal University, France) and two postdoctoral positions, first at the New York Nutrition Obesity Research Center (Columbia University, USA) and then at the Healthy Active Living and Obesity Research Group (Ottawa, Canada).\\r\\n\\r\\nDavid mainly works on the metabolic, energetic and nutritional adaptations to daily activities and exercise-versus dietary-induced energy deficits, particularly in pediatric obesity.\\r\\n\\r\\nDavid currently leads the \\u003ca href=\\u0022https:\/\/ame2p.uca.fr\/presentation-du-laboratoire\\u0022 rel=\\u0022noopener\\u0022 target=\\u0022_blank\\u0022\\u003eAME2P\\u003c\/a\\u003e research laboratory (Clermont Auvergne University) and is president of the \\u003ca href=\\u0022https:\/\/www.ecog-obesity.eu\/\\u0022 rel=\\u0022noopener\\u0022 target=\\u0022_blank\\u0022\\u003eEuropean Childhood Obesity Group\\u003c\/a\\u003e (ECOG).\\r\\n\\r\\n\\r\\n\",\"_content\":\"field_about_content\"},\"align\":\"center\",\"mode\":\"auto\"} \/-->","post_title":"Food behaviors, movement behaviors and sleep: what links?","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"food-behaviors-movement-behaviors-and-sleep-what-links","to_ping":"","pinged":"","post_modified":"2024-10-24 17:25:55","post_modified_gmt":"2024-10-24 15:25:55","post_content_filtered":"","post_parent":0,"guid":"https:\/\/aprifel-pp.mentalworks.biz\/?post_type=revue&#038;p=89654","menu_order":40,"post_type":"revue","post_mime_type":"","comment_count":"0","filter":"raw"}],"position":"3","references":""},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v23.6 (Yoast SEO v23.6) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Relation between screen-time and dietary choices<\/title>\n<meta name=\"description\" content=\"Television viewing represents one of the most common sedentary behaviors among the US population, with adults watching 34h per week.\" 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