COMPARISON OF FOOD HABITS AMONG SMOKER AND NON-SMOKER INDIVIDUALS: ISFAHAN HEALTHY HEART PROGRAM by Firoozeh Sajadi, Niloofar Ghaderian, Noushin Mohammadifard, Maryam Maghroon, Hasan Alikhasi, Hamid Roohafza, Ahmad Bahonar, Mohamadreza Rahmati, Behrooz Salavati

“…Mean consumption of fast food in smoker men was higher than non-smokers (1 ± 1.4 vs. 0.8 ± 1.5, respectively, P = 0.01). …”
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Analysis and Migration of Hydrolyzate of Melamine-Formaldehyde Products by Liquid Chromatography-Mass Spectrometry by XIONG Xiao-ting;RAO Pu;CHEN Yi-guang;GUO Yan-hua;SONG Zi-feng;LI Hui-yong;HUANG Xiao-gang;HE Guo-shan

“…Melamine-formaldehyde (MF) tableware is popular in Chinese fast food restaurant and baby feeding. MF product could be hydrolyzed in hot-acid condition and release harmful components. …”
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Wybrane elementy stylu życia rodziny a problem nadwagi i otyłości u dzieci w wieku wczesnoszkolnym. Doniesienie z badań = Selected elements of family lifestyle and the problem of o... by ANETA SZYMAŃSKA, BEATA DOBROWOLSKA, ANNA BOGUSŁAWA PILEWSKA-KOZAK, AGNIESZKA KONSTANCJA PAWŁOWSKA-MUC

“…Raz w tygodniu (24%) lub rzadziej (38,7%) pojawiało się w diecie ciemne pieczywo, podobnie kasze – raz w tygodniu (53,3%) i rzadziej (30,7%). Produkty typu Fast-food pojawiają się w diecie rodzin ankietowanych raz w tygodniu (37,3%) lub rzadziej (42,7%). …”
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Household, psychosocial, and individual-level factors associated with fruit, vegetable, and fiber intake among low-income urban African American youth by Angela Cristina Bizzotto Trude, Anna Yevgenyevna Kharmats, Kristen Marie Hurley, Elizabeth Anderson Steeves, Sameera A. Talegawkar, Joel Gittelsohn

“…Also, youth with parents who shopped more frequently at fast-food stores had 7 % lower odds for higher vegetable intake (95 % CI: 0.88–0.99). …”
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Development of a national childhood obesogenic environment index in the United States: differences by region and rurality by Andrew T. Kaczynski, Jan M. Eberth, Ellen W. Stowe, Marilyn E. Wende, Angela D. Liese, Alexander C. McLain, Charity B. Breneman, Michele J. Josey

“…Based on strength of associations in the literature, expert ratings, expertise of team members, and data source availability, 10 key variables were identified – six related to HE (# per 1000 residents for grocery/superstores, farmers markets, fast food restaurants, full-service restaurants, and convenience stores; as well as percentage of births at baby (breastfeeding)-friendly facilities) and four related to PA (percentage of population living close to exercise opportunities, percentage of population < 1 mile from a school, a composite walkability index, and number of violent crimes per 1000 residents). …”
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Perfil nutricional de portadores de obesidade de uma Unidade Básica de Saúde de Ibaté-SP by Leny Lourenço, Angélica De Moraes Manço Rubiatti

“…O consumo alimentar indicou que 40% não ingeriam fast foods, 32% realizavam três refeições ao dia, o uso de sal e óleo mensal ultrapassou a recomendação e a ingestão de água encontrou-se adequada. …”
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The association between the food environment and adherence to healthy diet quality: the Maastricht Study by Jeffrey Alexander Chan, Annemarie Koster, Simone JPM Eussen, Maria Gabriela M Pinho, Jeroen Lakerveld, Coen DA Stehouwer, Pieter C Dagnelie, Carla J van der Kallen, Marleen MJ van Greevenbroek, Anke Wesselius, Hans Bosma

“…Results: No relationship was identified between either the FEHI (B = 0·62; 95 % CI = –2·54, 3·78) or individual food outlets, such as fast food (B = –0·07; 95 % CI = –0·20, 0·07) and diet quality. …”
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Coliformes totales, fecales y algunas enterobacterias, Sthaphylococcus sp. y hongos en ensaladas para perro calientes expendidas en la ciudad de Maracay, Venezuela by Laura Acevedo, Clever Mendoza, Rafael Oyón

“…Las ensaladas crudas presentaban un pH y una acidez de 5,92 y 0,78 ml NaOH respectivamente<br>Total and fecal coliforms, some enterobacteria, Staphylococcus sp. and moulds in salads for hot dogs sold in Maracay city, Venezuela. Fast food sold on the streets are good vehicule to transmit gastrointestind diseases to consumers because they are highly manipulated. …”
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Evaluación del ambiente construido en barrios de diferente nivel socioeconómico de la CABA by Leila Yasmin Garipe, Verónica Gónzalez, Antonella Biasizzo, Jennifer Lalia Soriano, Gaston Perman, Diego Giunta

“…A higher density was observed in Constitución for fast food restaurants (Recoleta 3.6; Almagro 2.4; Constitución 6.7) and food stands (Recoleta 4.2; Almagro 1.2; Constitución 25.7) and a lower density for outdoor physical activity facilities. …”
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Clustering of lifestyle risk factors in relation to suicidal thoughts and behaviors in young adolescents: a cross-national study of 45 low- and middle-income countries by Yongle Zhan, Pei Wang, Yongan Zhan, Zhiming Lu, Yidan Guo, Noor Ani Ahmad, Andrew Owusu, Tepirou Chher, Johnson T. Hinneh, Krishna Kumar Aryal, Noorali Darwish, Sameera J. Senanayake, Bushra abdulrahman Ahmed Mufadhal, Alissar Rady, Marcia Bassier-Paltoo, Suvd Batbaatar

“…Four clusters of lifestyle risk behaviors were identified, namely healthy lifestyles (H–L), insufficient intake of vegetables and fruit (V-F), frequent consumption of soft drinks and fast food (D-F), and tobacco smoking and alcohol drinking (S-A) clusters. …”
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A school-based intervention improved dietary intake outcomes and reduced waist circumference in adolescents: a cluster randomized controlled trial by Angélica Ochoa-Avilés, Roosmarijn Verstraeten, Lieven Huybregts, Susana Andrade, John Van Camp, Silvana Donoso, Patricia Liliana Ramírez, Carl Lachat, Lea Maes, Patrick Kolsteren

“…This paper reports: (i) the effect on fruit and vegetable intake, added sugar intake, unhealthy snacking (consumption of unhealthy food items that are not in line with the dietary guidelines eaten during snack time; i.e. table sugar, sweets, salty snacks, fast food, soft drinks and packaged food), breakfast intake and waist circumference; and, (ii) dose and reach of the intervention. …”
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Żywienie a płodność. Dieta kobiet w okresie prokreacyjnym by Dorota Świątkowska

“…Bezwzględnie należy wyeliminować tłuszcze trans, obecne w przemysłowo produkowanych ciastach, słodyczach, chipsach, żywności typu fast food, zupach w proszku, twardych margarynach. …”
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Estudio de los hábitos alimentarios de los ciclistas de la selección española de mountain bike Analysis of the feeding habits in cyclists of the Spanish national mountain bike team... by A. Som Castillo, C. Sánchez Muñoz, J. Ramírez Lechuga, M. Zabala Díaz

“…Also, 56% of C/J group and 20% of the U23/E group eat "fast food" (p = 0.028). Conclusions: Feeding habits of the C/J cyclists of the Spanish national team are considered inadequate, being significantly better for the U23/E group, although also in this older group there are basic aspects to improve.…”
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National trends and disparities in retail food environments in the USA between 1990 and 2014 by Jana A Hirsch, Yuzhe Zhao, Steven Melly, Kari A Moore, Nicolas Berger, James Quinn, Andrew Rundle, Gina S Lovasi

“…We measured retail food environment as counts of all food stores, all unhealthy food sources (including fast food, convenience stores, bakeries and ice cream) and healthy food stores (including supermarkets, fruit and vegetable markets) from National Establishment Time Series business data. …”
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Nutritional Behaviours Of Adolescents Living In Rural Areas. Part 2. Characteristic Of Pro-Health Behaviour In Aspect Of Frequency Of Consuming Meals And Selected Foodstuff by Elżbieta Cipora, Ewa Smoleń, Halina Piecewicz, Jarosław Sobieszczański, Walery Zukow, Anna Sobieszczańska

“…The adolescents showed health promoting behaviours with respect to the frequency of consumption of fast food, because only 5.2% of them consumed these products every day. …”
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FACTORI PREDISPOZANŢI AI CONSTIPAŢIEI CRONICE LA COPIL – STUDIU CLINIC PE 2 ANI by Claudia Olaru, Smaranda Diaconescu, V.V. Lupu, Nicoleta Gimiga, Gabriela Păduraru, Ancuţa Ignat, Gabriela Ciubotariu, Vasile Drug, Marin Burlea

“…Doar 14,6% (145) au raportat consumul zilnic de fructe şi legume, în timp ce 51,1% (508) au luat masa cel puţin o dată pe săptămână la restaurante de tip fast-food. 21,6% (214) practică sport cel puţin 2 ore/săptămână, în timp ce 48,7% (484) petrec cel puţin 3 ore/zi la televizor. 12,8% (128) dintre pacienţi sunt supraponderali şi 5,7% (57) obezi. …”
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Current situation and factors influencing physical fitness among adolescents aged 12 ∼ 15 in Shandong Province, China: A cross-sectional study by Zhihao Huang, Shanshan Li, Fei Lu, Kunzong Tian, Lujing Peng

“…On the other hand, adolescents had a higher odds of failing the physical fitness tests who always exposed to passive smoking, who spent 1 ∼ 3 h on screen per day or more than 3 h on screen per day, who spent more than 3 h doing homework per day, who consumed fast food 2 ∼ 3 times per week or more than 3 times per week. …”
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Prevalence of eating disorders among Saudi female university students during the COVID-19 outbreak by Gehan El-Akabawy, PhD, Jana K. Abukhaled, Durrah W. Alabdullah, Sarah A. Aleban, Shahad A. Almuqhim, Rasha A. Assiri, MD

“…College type (p < 0.003), fast food consumption (p = 0.010), and engaging in exercise (p < 0.001) were also significant factors. …”
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Quality of life related to health and habits: Differences between adolescents in rural and urban environments by Raúl Jiménez Boraita, Daniel Arriscado Alsina, Esther Gargallo Ibort, Josep María Dalmau Torres

“…Adolescents in urban areas reported higher levels of physical activity between 6:00 p.m. and 10:00 p.m., and a higher consumption of fast food. Conclusions: The results show the need for strategies aimed at counteracting the negative influence that physical and sociodemographic factors typical of urbanized areas exert on HRQL. …”
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Dietary patterns and risk for gastric cancer: A case-control study in residents of the Huaihe River Basin, China by Xiaomin Wu, Xiaomin Wu, Xiaomin Wu, Qian Zhang, Qian Zhang, Hong Guo, Hong Guo, Ning Wang, Xueqi Fan, Bin Zhang, Bin Zhang, Wei Zhang, Wei Zhang, Wanying Wang, Zhongze Fang, Zhongze Fang, Jing Wu, Jing Wu

“…Pylori (H. pylori) infection, comparing the highest with the lowest tertiles of dietary pattern scores, the multivariable ORs (95% CIs) were 0.786 (0.488, 1.265; Ptrend &lt; 0.001) for the flavors, garlic and protein pattern, 2.133 (1.299, 3.502; Ptrend &lt; 0.001) for the fast food pattern, 1.050 (0.682, 1.617; Ptrend &lt; 0.001) for the vegetable and fruit pattern, 0.919 (0.659, 1.282; Ptrend &lt; 0.001) for the pickled food, processed meat products and soy products pattern, 1.149 (0.804, 1.642; Ptrend &lt; 0.001) for the non-staple food pattern and 0.690 (0.481, 0.989; Ptrend &lt; 0.001) for the coffee and dairy pattern.ConclusionsThe specific dietary patterns were associated with the risk of gastric cancer. …”
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