Methodological aspects and characteristics of participants in the study on the prevalence of obesity in children and adolescents in Florianópolis, Southern Brazil, 2018–2019: EPOCA study

Pereira, Luciana Jeremias; Vieira, Francilene Gracieli Kunradi; Belchor, Ana Luisa Lages; Cezimbra, Vanessa Guimarães; Alves, Carlos Alencar Souza; Matsuo, Luísa Harumi; Spanholi, Mariana Winck; Teodoroski, Ana Carolina Clark; Roberto, Denise Miguel Teixeira; Souza, Lidiamara Dornelles de; Silva, Andressa Ferreira da; Soar, Cláudia; Leal, Danielle Biazzi; Silva, Diego Augusto Santos; Corrêa, Elizabeth Nappi; Kupek, Emil; Vasconcelos, Francisco de Assis Guedes de; Rockenbach, Gabriele; Longo, Giana Zarbato; Luchesi, Karen Fontes; Assis, Maria Alice Altenburg de; Leite, Maurício Soares; Pietro, Patrícia Faria Di; Hinnig, Patrícia de Fragas

doi:10.1016/j.annepidem.2022.10.017

Cited by 8 publications

(17 citation statements)

References 45 publications

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“…Body weight was measured using an electronic scale of 180 kg maximum capacity (Marte®, model PP 180, accuracy of 100 g) in the 2002 and 2007 surveys; and with an electronic scale of 200 kg maximum capacity (Marte®, model LC 200 PP, accuracy of 50 g) in 2012/13 and in 2018/19. Height was measured using a tape measure attached to a wall without a baseboard in 2002 (1 mm precision) and a portable stadiometer (Alturexata®, 1 mm precision) in 2007, 2012/13, and 2018/19 (Bernardo & de Vasconcelos, 2012; de Assis et al, 2005; Matsuo et al, 2022; Motter et al, 2015; Pereira et al, 2023). In all surveys, the students were wearing light clothes, barefoot, in an orthostatic position, with their heads in the Frankfurt plane (Bernardo & de Vasconcelos, 2012; de Assis et al, 2005; Matsuo et al, 2022; Motter et al, 2015; Pereira et al, 2023).…”

Section: Methodsmentioning

confidence: 99%

“…Height was measured using a tape measure attached to a wall without a baseboard in 2002 (1 mm precision) and a portable stadiometer (Alturexata®, 1 mm precision) in 2007, 2012/13, and 2018/19 (Bernardo & de Vasconcelos, 2012; de Assis et al, 2005; Matsuo et al, 2022; Motter et al, 2015; Pereira et al, 2023). In all surveys, the students were wearing light clothes, barefoot, in an orthostatic position, with their heads in the Frankfurt plane (Bernardo & de Vasconcelos, 2012; de Assis et al, 2005; Matsuo et al, 2022; Motter et al, 2015; Pereira et al, 2023).…”

Section: Methodsmentioning

confidence: 99%

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Trends in the prevalence of obesity, overweight, and thinness among schoolchildren aged 7–14 years from southern Brazil (2002–2019)

Spanholi,

Matsuo,

Roberto

et al. 2023

American J Hum Biol

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ObjectiveTo analyze the obesity, overweight, and thinness trends among Brazilian schoolchildren by sex, age group, and type of school according to World Health Organization (WHO) and International Obesity Task Force (IOTF) criteria.MethodsWe conducted four surveys between 2002 and 2018/19 involving schoolchildren aged 7–14 years from a state capital in southern Brazil. Weight status was classified using both WHO and IOTF criteria.ResultsIn the total sample, obesity prevalence based on the IOTF and the WHO criteria were 72% and 44% higher in 2018/19 compared with 2002, respectively. Over the whole period, the obesity prevalence increased among children (WHO: 10.1% vs. 14.1%; IOTF: 5.0% vs. 8.3%), and those from public schools (WHO: 10.5% vs. 16.4%; IOTF: 5.6% vs. 10.1%). There was no significant reduction in thinness prevalence over the analyzed period.ConclusionObesity prevalence remains on an upward trend in a state capital in southern Brazil, especially among children from public schools. A higher prevalence of overweight and obesity was observed using the WHO criteria compared with IOTF criteria.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Trends in the prevalence of obesity, overweight, and thinness among schoolchildren aged 7–14 years from southern Brazil (2002–2019)

Spanholi,

Matsuo,

Roberto

et al. 2023

American J Hum Biol

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“…This cognitive task required children to recognize food, food preparations, and cooking methods in detail and that may not have been compatible with the perceptual and conceptual capacities of children who have not reached the stage of abstract reasoning (approximately 10-11 years) [5,36,37]. Later studies have already improved the methodology for application of such a questionnaire by trained researchers [20,21,23].…”

Section: Discussionmentioning

confidence: 99%

“…Findings from the current study conducted in 2015 provided practical implications to the subsequent studies that used the Web-CAAFE tool. In these studies, the item "nuggets" was deleted from the screens of the tool and the protocol for training the researchers was standardized in order to provide better explanations about food items [20,21,23]. In addition, future studies should verify how the illustration of these specific foods can be improved considering the limited cognitive capacity of children to recognize certain food items.…”

Section: Discussionmentioning

confidence: 99%

“…The instrument also proved to be satisfactory regarding the assessment of reproducibility [20]. Web-CAAFE was used in Brazilian health monitoring studies, being applied to more than 10,000 students in recent years [21][22][23]. However, it is necessary to evaluate the instrument constantly to help reduce errors in the estimates provided by them.…”

Section: Introductionmentioning

confidence: 99%

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How Brazilian Schoolchildren Identify, Classify, and Label Foods and Beverages—A Card Sorting Methodology

Pereira

Lopes

Martins

et al. 2023

IJERPH

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This study examined how Brazilian schoolchildren identified, classified, and labeled foods and beverages. Semi-structured interviews were conducted with 133 schoolchildren aged 7 to 10 years old from a public school located in southern Brazil in 2015. A set of cards with pictures of 32 food and beverage items from the web-based Food Intake and Physical Activity of Schoolchildren tool (Web-CAAFE) were used. Participants identified each item, formed groups for them based on similarity, and assigned labels for those groups. Student’s t-tests and analysis of variance (ANOVA) tests were used to verify the mean difference between the groups of items. K-means cluster analysis was applied to identify similar clusters. Schoolchildren made an average of 9.1 piles of foods and beverages that they thought were similar (±2.4) with 3.0 cards (±1.8) each. Five groups were identified: meats, snacks and pasta, sweets, milk and dairy products, and fruits and vegetables. The most frequently used nomenclature for labeling groups was taxonomic-professional (47.4%), followed by the specific food item name (16.4%), do not know/not sure (13.3%), and evaluative (health perception) (8.8%). The taxonomic-professional category could be applied to promote improvements in the identification process of food and beverage items by children in self-reported computerized dietary questionnaires.

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Temporal trend of food consumption markers, breakfast consumption and association with overweight/obesity in schoolchildren aged 7 to 10 years between 2007 and 2019

Costa,

Barboza,

Rossi

et al. 2024

Nutrition Bulletin

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Obesity has a multifactorial origin. Among the behavioural risk factors, excessive consumption of unhealthy foods, skipping breakfast and reduced physical activity stand out. The main objective of this article was to identify trends in dietary habits and their association with overweight/obesity over a 12‐year period in schoolchildren aged 7 to 10 years in Florianópolis, southern Brazil. A cross‐sectional panel analysis study, using anthropometric, sociodemographic, physical activity and food consumption data of schoolchildren aged 7 to 10 years, collected in three waves of the Study of Prevalence of Obesity in Children and Adolescents (EPOCA), carried out during the years 2007, 2012/2013 and 2018/2019, was performed. To analyse the trend in dietary variables over the years, the 95% CIs were compared with the non‐overlap of intervals indicating statistical significance. Multiple logistic regression analysis was performed to test the association of weight status with dietary markers. The prevalence of overweight/obesity was 34.4%, 37.2% and 34.2% in 2007, 2012/2013 and 2018/2019, respectively, and there were no statistically significant differences among waves. There was a progressive and significant reduction in the consumption of soft drinks and sweets and in eating breakfast by schoolchildren, from 2007 to 2019. Breakfast consumption was inversely associated with the chance of overweight/obesity (OR 0.74, 95% CI 0.59–0.93), and female students were less likely to have overweight/obesity when compared to boys (OR 0.70, 95% CI 0.61–0.81). The reduction in the consumption of soft drinks and sweets over the years might be caused by efforts in public policies that intended to reduce the consumption of unhealthy foods among schoolchildren. The progressive and significant reduction in having breakfast should be better elucidated in future studies, to minimise the potential impact of this practice on schoolchildren's bodyweight.

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Methodological aspects and characteristics of participants in the study on the prevalence of obesity in children and adolescents in Florianópolis, Southern Brazil, 2018–2019: EPOCA study

Cited by 8 publications

References 45 publications

Trends in the prevalence of obesity, overweight, and thinness among schoolchildren aged 7–14 years from southern Brazil (2002–2019)

Trends in the prevalence of obesity, overweight, and thinness among schoolchildren aged 7–14 years from southern Brazil (2002–2019)

How Brazilian Schoolchildren Identify, Classify, and Label Foods and Beverages—A Card Sorting Methodology

Temporal trend of food consumption markers, breakfast consumption and association with overweight/obesity in schoolchildren aged 7 to 10 years between 2007 and 2019

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