Aggregation of the four main risk factors to non-communicable diseases among adolescents

Tassitano, Rafael Miranda; Dumith, Samuel Carvalho; Gonzalez-Chica, David; Tenório, Maria Cecília Marinho

doi:10.1590/1809-4503201400020014eng

Cited by 24 publications

(38 citation statements)

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“…However, since sociodemographic factors are associated with different changes in patterns of TV or PC/VG use 8 , and access to electronic devices varies between states and cities (i.e., due to socioeconomic inequalities 10 ), such results cannot be extrapolated to other regions of Brazil (e.g., northern). In fact, the PNAD report on access to internet, television, and cell phone use revealed marked changes in access to technology, consumption habits, and interactivity of Brazilians with screen devices, indicating differences between these regions and states 11 . Thus, the aim of this study was to analyze the pattern and trends of use of screen devices and associated factors from two surveys (2007 and 2012) conducted on public high school students of Caruaru-PE.…”

Section: Introductionmentioning

confidence: 99%

“…On the one hand, there was an increase in access to new technologies such as computers, tablets, cell phones, smartphones, and the internet, while on the other hand, the timing of access in regions, capitals, and cities with greater economic development was earlier when compared to regions, rural cities, and areas with less economic development 11 . The reduction in TV use could be linked to the lack of interactivity related to this device (e.g., TV does not have social networks, which is of interest to young individuals).…”

mentioning

confidence: 99%

“…Another issue related to the different patterns of use of screen devices are the socioeconomic differences in Brazil, which caused a technological advance, facilitating the use of the internet, tablets, PCs, and smartphones 11 . In the present study, the economic factor was observed to be associated with exposure to PC/VG only in 2012, not in 2007.…”

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confidence: 99%

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Trends in television and computer/videogame use and total screen time in high school students from Caruaru city, Pernambuco, Brazil: A repeated panel study between 2007 and 2012

Aros

Germano-Soares

Silva

et al. 2018

Motriz: rev. educ. fis.

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-Aim: to analyze the pattern and trends of use of screen-based devices and associated factors from two surveys conducted on public high school students in Caruaru-PE. Methods: two representative school-based crosssectional surveys conducted in 2007 (n=600) and 2012 (n=715) on high school students (15-20 years old). The time of exposure to television (TV) and computer/videogames PC/VG was obtained through a validated questionnaire, and ≥3hours/day was considered as being excessive exposure. The independent variables were socioeconomic status, school related, and physical activity. Crude and adjusted binary logistic regression were employed to examine the factors associated with screen time. The statistical significance was set at p<0.05. Results: There was a significant reduction in TV time on weekdays and total weekly, but no change in the prevalence of excessive exposure. The proportion of exposure to PC/VG of ≥3 hours/day increased 182.5% on weekdays and 69.5% on weekends (p <0.05). In 2007, being physically active was the only protection factor for excessive exposure to total screen time. In 2012, girls presented less chance of excessive exposure to all screen-based devices and total screen time. Other protective factors were studying at night and being physically active (PC/VG time), while residing in an urban area 41)] and having higher family income [OR 1.55(1.04-2.30)] were risk factors. Conclusion: Significant and important changes in the time trends and pattern of use PC/VG were observed during the interval of 5 years. This rapid increase could be associated with increased family income and improved access to these devices, driven by technological developments.

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Section: Introductionmentioning

confidence: 99%

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Trends in television and computer/videogame use and total screen time in high school students from Caruaru city, Pernambuco, Brazil: A repeated panel study between 2007 and 2012

Aros

Germano-Soares

Silva

et al. 2018

Motriz: rev. educ. fis.

Self Cite

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“…Since behavioral risk factors are modifiable throughout the life span of an individual, it is important to identify subgroups of workers that are more exposed to unhealthy food habits, which could reduce the risk of a life that is more prone to chronic disease [9], absenteeism and reduced productivity at work. Therefore, the objectives of the present study were to investigate the clustering of unhealthy food habits and to identify the association between the number of these clustered habits and sociodemographic variables.…”

Section: Introductionmentioning

confidence: 99%

Clustering of unhealthy food habits and its association with socioeconomic factors among Brazilian workers

et al. 2017

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A B S T R A C T ObjectiveInvestigate the clustering of four unhealthy food habits (low intake of fruits, low intake of vegetables, high intake of candy, and high intake of fried snacks), and to identify the association between the number of these clustered habits and sociodemographic variables. MethodsThis was a cross-sectional representative study of industrial workers from 24 Federative Units in Brazil conducted between 2006 and 2008. The low weekly intake of fruits and vegetables (<5 days/week) and high weekly intake of candy and fried snacks (≥5 days/weeks) were evaluated using a validated questionnaire. Simultaneity was analyzed with stratification by sex, calculating the Observed (O) and Expected (E) prevalence and the O/E ratio for each of the 16 possible food intake combinations. ResultsAmong the 47,477 workers studied, in both men and women, the simultaneous presence of high weekly intake of candy and fried snacks(O/E=3.58; 95%CI=3.12-4.10 and O/E=2.17; 95%CI=1.76-2.62) and of the four ConclusionUnhealthy food habits tend to cluster together in both sexes, suggesting a strong interaction, particularly for the four unhealthy food habits together, especially among women, less educated workers and without a partner.Keywords: Epidemiological studies. Feeding behavior. Occupational Health. ,58; IC95%=3,10 e O/E=2,17; IC95%=1,62) R E S U M O Objetivo Investigar o agrupamento de quatro hábitos alimentares não saudáveis (baixo consumo de fruta, baixo consumo de verdura, alto consumo de doce e alto consumo de salgadinho), e identificar a associação entre a quantidade desses hábitos agrupados e variáveis sociodemográficas. Métodos Esse foi um estudo transversal e representativo de trabalhadores das indústrias de 24 Unidades Federativas do Brasil, realizado de 2006 e 2008. Os baixos consumos semanais de fruta e verdura (<5 dias/semana) e os altos consumos semanais de doce e salgadinho (>5 dias/semana) foram avaliados por questionário validado. A simultaneidade foi analisada com estratificação por sexo, conforme a prevalência Observada (O), Esperada (E), Razão (O/E) para cada uma das 16 combinações possíveis de consumo alimentar. Resultados Nos 47.477 trabalhadores investigados, tanto em homens quanto em mulheres, respectivamente, a presença simultânea alto consumo semanal de doce e salgadinho (O/E=3 I N T R O D U C T I O NThe eating habits of populations have undergone marked changes in recent decades, mainly as a result of the reduced consumption of natural foods such as fruits and vegetables [1] and the increased consumption of processed foods, especially ready meals and away-fromhome food. In Brazil, eating out accounts for about 31% of food expenditure [2].An unhealthy diet is characterized by an energy imbalance caused by a poor variety of foods and by an excessive consumption of fats and simple sugars. A high intake of salt, sugary foods and saturated fats and a low intake of fruits and vegetables are examples of unhealthy food habits. These behaviors pose a health risk since they are associated with a h...

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“…The college year represent a major transition for students' behavior because they are living away from home for the first time and have to make lifestyle decisions regarding personal health without their parents. Students begin adopting unhealthy behaviors like binge drinking, smoking, and poor dietary choices [6]. Thus, college setting offers an excellent platform to study preventive behavior for chronic disease particularly Cardiovascular Disease (CVD), hypertension and diabetes mellitus [7].…”

Section: Introductionmentioning

confidence: 99%

Pooled Preventive Behaviors for Main Chronic Non-Communicable Diseases as a Double Burden of Public Health among Healthcare Students, Southwest Ethiopia

Gebru¹

2016

J Trop Dis

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Aggregation of the four main risk factors to non-communicable diseases among adolescents

Cited by 24 publications

References 18 publications

Trends in television and computer/videogame use and total screen time in high school students from Caruaru city, Pernambuco, Brazil: A repeated panel study between 2007 and 2012

Trends in television and computer/videogame use and total screen time in high school students from Caruaru city, Pernambuco, Brazil: A repeated panel study between 2007 and 2012

Clustering of unhealthy food habits and its association with socioeconomic factors among Brazilian workers

Pooled Preventive Behaviors for Main Chronic Non-Communicable Diseases as a Double Burden of Public Health among Healthcare Students, Southwest Ethiopia

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