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OBJETIVE: To assess the association of gestational age (GA) and intrauterine growth with body composition at 11 years of age. METHOD: Analysis of data from the 2004 Pelotas birth cohort, whose outcomes were fat mass (FM, kg), fat mass index (FMI, kg/m2), fat-free mass (FFM, kg), fat-free mass index (FFMI, kg/m2) - measured by air displacement plethysmography - and body mass index for age (BMI/age, Z-score). The exposures of interest were the gestational index (GA) of infants born at less than 33 weeks, from 34 to 36 and from 37 to 41, and intrauterine growth categorized as small (SGA), adequate (AGA) and large (LGA) for gestational age. Analysis of variance was used to compare means and linear regression was used to assess the strength of association. The analyses were adjusted according to variables collected at birth, such as monthly family income, maternal characteristics - education, age, pre-gestational body mass index (BMI), weight gain during pregnancy, smoking during pregnancy, type of delivery, and parity - and adolescent characteristics - skin color and birth weight. For analysis, FM and FMI underwent logarithmic transformation due to data asymmetry. RESULTS: A total of 3,401 adolescents were analyzed, including boys and girls born at less than 33 weeks, with lower FM and FFM means than those born at term. However, in the adjusted analyses, there was no association between GA and any of the outcomes in either sex. LGA boys had a 10.5% higher FMI (p = 0.026) and +0.3 BMI/age Z-score (p = 0.019) as compared to AGA boys, and LGA girls had +0.3 kg/m 2 of FFMI (p = 0.039) than AGA girls. CONCLUSION: GA was not associated with body composition at 11 years of age. However, LGA boys had higher BMI and BMI/age Z-score, and LGA girls had higher FFMI than AGA girls.

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Resumo O Programa Criança Feliz (PCF) atinge 1,4 milhão de crianças brasileiras menores de três anos com visitas domiciliares visando o desenvolvimento neuropsicomotor. Com base em modelo conceitual, avaliou-se implementação e impacto do PCF em estudo randomizado, em 30 municípios. Ao todo 3.242 crianças foram alocadas para o grupo intervenção (GI) ou controle (GC), sendo 80,0% acompanhadas prospectivamente durante três anos. O desenvolvimento foi avaliado pelo Ages and Stages Questionnaire (ASQ3). Análises por intenção de tratar mostraram escores médios de 203,3 no GI e 201,3 no GC. Análises adicionais com variáveis instrumentais e emparelhamento por escores de propensão tampouco mostraram efeito, uma vez que o número de contatos recebidos não esteve associado aos escores ASQ3. Tampouco foi observado impacto sobre estimulação, interações responsivas ou atributos psicológicos das crianças. As visitas foram interrompidas durante 12 meses devido à COVID-19, sendo substituídas por contatos virtuais. O estudo de implementação revelou baixa cobertura no GI, contaminação do GC, deficiências na gestão e baixa qualidade das visitas em muitos municípios. O estudo não demonstrou impacto do PCF implementado sob condições de rotina e fornece elementos para seu aprimoramento.

Abstract The Happy Child Program (Programa Criança Feliz - PCF, in Portuguese) reaches 1.4 million Brazilian children under three years of age with home visits aimed at promoting neuropsychomotor development. Based on a conceptual model, PCF implementation and impact were evaluated in a randomized study in 30 municipalities. A total of 3,242 children were allocated to the intervention (IG) or control (CG) group, 80.0% of whom were prospectively followed up from late 2018 to late 2021. Development was assessed by the Ages and Stages Questionnaire (ASQ3). During the three-year study period, visits were replaced by virtual contacts for an average of 12 months due to COVID-19. At the endline survey, intent-to-treat analyses showed mean scores of 203.3 in the IG and 201.3 in the CG. Additional analyses using instrumental variables and propensity scores matching also showed no effect, since the number of contacts with the program was not associated with ASQ3 scores. No impact was observed on stimulation, responsive interactions or psychological attributes of children. The implementation study revealed low coverage in the IG, contamination of the CG, deficiencies in management and low quality of visits in many municipalities. The study did not demonstrate an impact of PCF implemented under routine conditions, but provides elements for its improvement.

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The Happy Child Program (Programa Criança Feliz - PCF, in Portuguese) reaches 1.4 million Brazilian children under three years of age with home visits aimed at promoting neuropsychomotor development. Based on a conceptual model, PCF implementation and impact were evaluated in a randomized study in 30 municipalities. A total of 3,242 children were allocated to the intervention (IG) or control (CG) group, 80.0% of whom were prospectively followed up from late 2018 to late 2021. Development was assessed by the Ages and Stages Questionnaire (ASQ3). During the three-year study period, visits were replaced by virtual contacts for an average of 12 months due to COVID-19. At the endline survey, intent-to-treat analyses showed mean scores of 203.3 in the IG and 201.3 in the CG. Additional analyses using instrumental variables and propensity scores matching also showed no effect, since the number of contacts with the program was not associated with ASQ3 scores. No impact was observed on stimulation, responsive interactions or psychological attributes of children. The implementation study revealed low coverage in the IG, contamination of the CG, deficiencies in management and low quality of visits in many municipalities. The study did not demonstrate an impact of PCF implemented under routine conditions, but provides elements for its improvement.

O Programa Criança Feliz (PCF) atinge 1,4 milhão de crianças brasileiras menores de três anos com visitas domiciliares visando o desenvolvimento neuropsicomotor. Com base em modelo conceitual, avaliou-se implementação e impacto do PCF em estudo randomizado, em 30 municípios. Ao todo 3.242 crianças foram alocadas para o grupo intervenção (GI) ou controle (GC), sendo 80,0% acompanhadas prospectivamente durante três anos. O desenvolvimento foi avaliado pelo Ages and Stages Questionnaire (ASQ3). Análises por intenção de tratar mostraram escores médios de 203,3 no GI e 201,3 no GC. Análises adicionais com variáveis instrumentais e emparelhamento por escores de propensão tampouco mostraram efeito, uma vez que o número de contatos recebidos não esteve associado aos escores ASQ3. Tampouco foi observado impacto sobre estimulação, interações responsivas ou atributos psicológicos das crianças. As visitas foram interrompidas durante 12 meses devido à COVID-19, sendo substituídas por contatos virtuais. O estudo de implementação revelou baixa cobertura no GI, contaminação do GC, deficiências na gestão e baixa qualidade das visitas em muitos municípios. O estudo não demonstrou impacto do PCF implementado sob condições de rotina e fornece elementos para seu aprimoramento.

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OBJECTIVE: To identify the factors associated with the diet quality among 9th grade students in the municipal education system of Pelotas, state of Rio Grande do Sul, Brazil. METHODS: This was a cross-sectional study, conducted in 2019. Food information was collected using a food frequency questionnaire, and diet quality was assessed through an index developed by the authors. Diet was classified as low, intermediate or high quality. The association was assessed using multinomial logistic regression. RESULTS: The 808 adolescents evaluated obtained a mean score of 16.0 points (deviation-standard=4.1) according to the developed index. The high diet quality was associated with tobacco experimentation [odds ratio (OR) 2.92; 95% confidence interval (95%CI) 1.74;4.92] and leisure-time physical activity (OR=1.65; 95%CI 1.15;2.38). CONCLUSION: We highlighted the importance of encouraging physical activity practice, monitoring risk behaviors among adolescents and promoting the consumption of healthy food.

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Objetivo: Identificar os fatores associados à qualidade da dieta de estudantes do 9º ano da rede municipal de ensino de Pelotas, Rio Grande do Sul, Brasil. Métodos: Estudo transversal, realizado em 2019. As informações alimentares foram coletadas por formulário de frequência alimentar, e a qualidade da dieta foi avaliada mediante índice desenvolvido pelos autores. A dieta foi classificada como de baixa, intermediária ou alta qualidade. A associação foi avaliada por regressão logística multinomial. Resultados: Os 808 adolescentes avaliados obtiveram média de 16,0 pontos (desvio-padrão=4,1) no índice desenvolvido. A alta qualidade da dieta mostrou-se associada a experimentação de tabaco [razão de chances, ou odds ratio (OR) 2,92; intervalo de confiança de 95% (IC95%) 1,74;4,92] e prática de atividade física no lazer (OR=1,65; IC95% 1,15;2,38). Conclusão: Destaca-se a importância do incentivo à prática de atividade física, monitoramento de comportamentos de riscos nos adolescentes e promoção do consumo de alimentos considerados saudáveis.

Objetivo: Identificar factores asociados a calidad de la dieta de estudiantes de 9º ano de escuelas municipales de Pelotas, Rio Grande do Sul. Métodos: Estudio transversal, realizado en 2019. La información dietética se recopiló mediante Formulario de Frecuencia de Alimentos y la calidad de la dieta se evaluó mediante índice desarrollado por los autores. La dieta fue clasificada como de baja, intermedia o de alta calidad. La asociación se investigó mediante regresión logística multinomial. Resultados: Los 808 adolescentes evaluados tuvieron en media 16,0 puntos (desvío-estándar=4,1) en el índice desarrollado. La alta calidad de la dieta se asoció con experimentación de tabaco [OR=2,92; intervalo de confianza del 95% (IC95%) 1,74;4,92] y práctica de actividad física en el tiempo libre (OR=1,65; IC95% 1,15;2,38). Conclusión: Se destaca la importancia de fomentar la práctica de actividad física, el seguimiento de conductas de riesgo en adolescentes y promover el consumo de alimentos saludables.

Objective:To identify the factors associated with the diet quality among 9th grade students in the municipal education system of Pelotas, state of Rio Grande do Sul, Brazil. Methods: This was a cross-sectional study, conducted in 2019. Food information was collected using a food frequency questionnaire, and diet quality was assessed through an index developed by the authors. Diet was classified as low, intermediate or high quality. The association was assessed using multinomial logistic regression. Results:The 808 adolescents evaluated obtained a mean score of 16.0 points (deviation-standard=4.1) according to the developed index. The high diet quality was associated with tobacco experimentation [odds ratio (OR) 2.92; 95% confidence interval (95%CI) 1.74;4.92] and leisure-time physical activity (OR=1.65; 95%CI 1.15;2.38). Conclusion: We highlighted the importance of encouraging physical activity practice, monitoring risk behaviors among adolescents and promoting the consumption of healthy food.

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ABSTRACT OBJETIVE To assess the association of gestational age (GA) and intrauterine growth with body composition at 11 years of age. METHOD Analysis of data from the 2004 Pelotas birth cohort, whose outcomes were fat mass (FM, kg), fat mass index (FMI, kg/m2), fat-free mass (FFM, kg), fat-free mass index (FFMI, kg/m2) - measured by air displacement plethysmography - and body mass index for age (BMI/age, Z-score). The exposures of interest were the gestational index (GA) of infants born at less than 33 weeks, from 34 to 36 and from 37 to 41, and intrauterine growth categorized as small (SGA), adequate (AGA) and large (LGA) for gestational age. Analysis of variance was used to compare means and linear regression was used to assess the strength of association. The analyses were adjusted according to variables collected at birth, such as monthly family income, maternal characteristics - education, age, pre-gestational body mass index (BMI), weight gain during pregnancy, smoking during pregnancy, type of delivery, and parity - and adolescent characteristics - skin color and birth weight. For analysis, FM and FMI underwent logarithmic transformation due to data asymmetry. RESULTS A total of 3,401 adolescents were analyzed, including boys and girls born at less than 33 weeks, with lower FM and FFM means than those born at term. However, in the adjusted analyses, there was no association between GA and any of the outcomes in either sex. LGA boys had a 10.5% higher FMI (p = 0.026) and +0.3 BMI/age Z-score (p = 0.019) as compared to AGA boys, and LGA girls had +0.3 kg/m 2 of FFMI (p = 0.039) than AGA girls. CONCLUSION GA was not associated with body composition at 11 years of age. However, LGA boys had higher BMI and BMI/age Z-score, and LGA girls had higher FFMI than AGA girls.

RESUMO OBJETIVO Avaliar a associação da idade gestacional (IG) e crescimento intrauterino com a composição corporal aos 11 anos de idade. MÉTODO Análise de dados da coorte de nascimentos de Pelotas de 2004, cujos desfechos foram massa gorda (MG, kg), índice de massa gorda (IMG, kg/m2), massa livre de gordura (MLG, kg), índice de massa livre de gordura (IMLG, kg/m2) - medidos por pletismografia por deslocamento de ar -, e índice de massa corporal para idade (IMC/Idade, escore-Z). Sendo as exposições de interesse o índice gestacional (IG) de nascidos com menos de 33 semanas, de 34 a 36 e de 37 a 41, e crescimento intrauterino categorizado em pequeno para a idade gestacional (PIG), adequado (AIG) e grande (GIG). Para comparar médias, utilizou-se análise de variância e, para avaliar a força de associação, regressão linear. As análises foram ajustadas de acordo com variáveis coletadas ao nascer, como renda familiar mensal, características maternas - escolaridade, idade, índice de massa corporal (IMC) pré-gestacional, ganho de peso na gestação, tabagismo na gestação, tipo de parto e paridade - e características dos adolescentes - cor da pele e peso ao nascer. Para análise, o MG e o IMG sofreram transformação logarítmica devido a assimetria dos dados. RESULTADOS Foram analisados 3.401 adolescentes, entre meninos e meninas nascidos com menos de 33 semanas, com médias de MG e MLG menores que as dos nascidos(as) a termo. Porém, nas análises ajustadas, não houve associação entre IG e qualquer um dos desfechos em ambos os sexos. Meninos GIG apresentaram IMG 10,5% maior (p = 0,026) e +0,3 escore-Z de IMC/Idade (p = 0,019) em relação aos AIG, e meninas GIG apresentaram +0,3 kg/m2 de IMLG (p = 0,039) do que as AIG. CONCLUSÃO A IG não se associou à composição corporal aos 11 anos. Entretanto, meninos GIG apresentaram maiores IMG e escore-Z de IMC/Idade e meninas GIG, maior IMLG, quando comparados aos AIG.

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OBJECTIVE: To evaluate all-cause mortality in approximately three years of follow-up and related sociodemographic, behavioral and health factors in community-dwelling older adults in Pelotas, RS. METHODS: This was a longitudinal observational study that included 1,451 older adults (≥ 60 years) who were interviewed in 2014. Information on mortality was collected from their households in 2016-2017 and confirmed with the Epidemiological Surveillance department of the city and by documents from family members. Associations between mortality and independent variables were assessed by crude and multiple Cox regression, with hazard ratio with respective 95% confidence intervals (95%CI). RESULTS: Almost 10% (n = 145) of the participants died during an average of 2.5 years of follow-up, with a higher frequency of deaths among males (12.9%), ?80 years (25.2%), widowhood (15.0%), no education (13.8%) and who did not work (10.5%). Factors associated with higher mortality were: being a male (HR = 2.8; 95%CI 1.9 - 4.2), age ?80 years (HR = 3.9; 95%CI 2.4 - 6.2), widowhood (HR = 2.2; 95%CI 1.4 - 3.7), physical inactivity (HR = 2.3; 95%CI 1.1 - 4..6), current smoking (HR = 2.1; 95%CI 1.2 - 3.6), hospitalizations in the previous year (HR = 2.0; 95%CI 1.2 - 3.2), depressive symptoms (HR = 2.0; 95%CI 1.2 - 3,4) and dependence for two or more daily life activities (HR = 3.1; 95%CI 1,7 - 5.7). CONCLUSION: The identification of factors that increased the risk of early death makes it possible to improve public policies aimed at controlling the modifiable risk factors that can lead to aging with a better quality of life.

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BACKGROUND: We aimed to investigate the association between preterm birth and body composition at 6, 18, and 30 years of age using data from three population-based birth cohort studies. METHODS: Gestational age (GA), defined by the date of the last menstrual period (categorized in ≤33, 34-36, and ≥ 37 weeks), was gathered in the first 24-h after delivery for all live births occurring in the city of Pelotas, Brazil, in 2004, 1993 and 1982. Body composition was assessed by air-displacement plethysmography. Outcomes included fat mass (FM, kg), percent FM (%FM), FM index (FMI, kg/m2), fat-free mass (FFM, kg); percent FFM (%FFM), FFM index (FFMI, kg/m2), body mass index (BMI, kg/m2 at 18 years in the 1993 cohort and 30 years in the 1982 cohort), and BMI Z-score (at 6 years in the 2004 cohort). We further explored the association of birth weight for GA with body composition indicators and BMI. Crude and adjusted linear regressions provided beta coefficients with 95% confidence intervals (95%CI). RESULTS: A total of 3036, 3027, and 3369 participants, respectively, from the 2004, 1993, and 1982 cohorts were analyzed. At 6 years, preterm boys (born at 34-36 weeks) presented lower adjusted mean of FM (ß = - 0.80 kg, - 1.45;-0.16, p = 0.046), %FM (ß = - 2.39%, - 3.90;-0.88, p = 0.008), FMI (ß = - 0.70 kg/m2, - 1.13;-0.27, p = 0.004) as well as lower FFM (ß = - 0.4 kg, - 0.77; - 0.12, p = 0.010) and FFMI (ß = - 0.3 kg/m2, - 0.46;-0.10, p < 0.001), and BMI Z-score (ß = - 0.69,; - 0.99;-0.40, p < 0.001); but higher %FFM (ß = 2.4%, 0.87;-3.90, p = 0.008), when compared to boys born at term (≥37). At 30 years, FM (15.7 kg, 0.25;31.1, p = 0.102) was higher among males born at ≤33 weeks. No association was observed for females from the three cohorts and for 18-year-old males. The association of birth weight for GA with body composition and BMI was not significant in any cohort. At 6 years, SGA boys had lower FFMI than boys AGA. CONCLUSIONS: Our results suggest that preterm birth is associated with decreased body fat and fat-free mass in childhood but higher fat mass in adulthood. Nevertheless, results were only significant for males. SGA boys also showed lower FFMI.

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ABSTRACT: Objective: To evaluate all-cause mortality in approximately three years of follow-up and related sociodemographic, behavioral and health factors in community-dwelling older adults in Pelotas, RS. Methods: This was a longitudinal observational study that included 1,451 older adults (≥ 60 years) who were interviewed in 2014. Information on mortality was collected from their households in 2016-2017 and confirmed with the Epidemiological Surveillance department of the city and by documents from family members. Associations between mortality and independent variables were assessed by crude and multiple Cox regression, with hazard ratio with respective 95% confidence intervals (95%CI). Results: Almost 10% (n = 145) of the participants died during an average of 2.5 years of follow-up, with a higher frequency of deaths among males (12.9%), ?80 years (25.2%), widowhood (15.0%), no education (13.8%) and who did not work (10.5%). Factors associated with higher mortality were: being a male (HR = 2.8; 95%CI 1.9 - 4.2), age ?80 years (HR = 3.9; 95%CI 2.4 - 6.2), widowhood (HR = 2.2; 95%CI 1.4 - 3.7), physical inactivity (HR = 2.3; 95%CI 1.1 - 4..6), current smoking (HR = 2.1; 95%CI 1.2 - 3.6), hospitalizations in the previous year (HR = 2.0; 95%CI 1.2 - 3.2), depressive symptoms (HR = 2.0; 95%CI 1.2 - 3,4) and dependence for two or more daily life activities (HR = 3.1; 95%CI 1,7 - 5.7). Conclusion: The identification of factors that increased the risk of early death makes it possible to improve public policies aimed at controlling the modifiable risk factors that can lead to aging with a better quality of life.

RESUMO: Objetivo: Avaliar a mortalidade por todas as causas em aproximadamente três anos de acompanhamento e os fatores sociodemográficos, comportamentais e de saúde em idosos comunitários de Pelotas, Rio Grande do Sul. Métodos: Foi um estudo observacional longitudinal que incluiu 1.451 idosos (≥ 60 anos) entrevistados em 2014. As informações sobre mortalidade foram coletadas nos domicílios em 2016-2017, confirmadas com o setor de Vigilância Epidemiológica do município e por documentos de familiares. As associações entre mortalidade e as variáveis independentes, por regressão de Cox simples e múltipla, foram apresentadas pelos riscos relativos com os respectivos intervalos de confiança (95%). Resultados: Quase 10% (n = 145) dos participantes morreram durante uma média de 2,5 anos de acompanhamento, sendo a maior frequência de óbitos em homens (12,9%), indivíduos com ≥ 80 anos (25,2%) e viúvos (15,0%). Estiveram associadas ao maior risco de mortalidade: sexo masculino (RR = 2,8; IC95% 1,9 - 4,2), ≥ 80 anos (RR = 3,9; IC95% 2,4 - 6,2), viuvez (RR = 2,2; IC95% 1,4 - 3,7), inatividade física (RR = 2,3; IC95% 1,1 - 4,6), tabagismo atual (RR = 2,1; IC95% 1,2 - 3,8), hospitalização no último ano (RR = 2,0; IC95% 1,2 - 3,2), sintomas depressivos (RR = 2,1; IC95% 1,2 - 3,6) e dependência para duas ou mais atividades diárias (RR = 3,1; IC95% 1,7 - 5,7). Conclusão: A identificação dos fatores que aumentaram o risco de óbito precocemente possibilita melhorar políticas públicas que visem controlar os fatores de risco modificáveis para um envelhecimento com melhor qualidade de vida.

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OBJECTIVES: To describe the occurrence of simultaneous risk factors for chronic noncommunicable diseases, and factors associated with these prevalences in rural adults of a Southern Brazilian city. METHODS: The design of this study was cross-sectional with a sample of 1,445 adults from the rural area of Pelotas, RS. Four risk factors were considered: smoking, alcohol consumption, physical inactivity and inadequate consumption of vegetables. To verify the simultaneous occurrence of the outcomes, a cluster analysis was used. The association was tested by ordinal regression resulting in odds ratios. RESULTS: Among the four risk factors evaluated, three were the most prevalent among men, and only physical inactivity was greater among women. In the cluster analysis, only the combination of alcohol consumption + smoking + inadequate vegetable consumption presented an observed prevalence that was significantly higher than the expected (O/E = 2.67, 95%CI 1.30, 5.48), and higher than another study in the south of the country. This can be justified because that study included an evaluation of urban dwellers and the consumption of fruits. After adjustment, men, single individuals, non-white people, those with less schooling, those with a worse socioeconomic status, those who reported poor perception of health, and those who do not work in specifically rural activities had a greater probability of having the simultaneity of risk factors. CONCLUSION: The results show the importance of developing priority actions regarding the health of rural populations with special attention to the subgroups with an identified higher risk.

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