Interventions via the Internet are promising regarding the promotion of healthy habits among youth. The objective of this study was to evaluate the effect of an adapted version of StayingFit to promote healthy eating habits and the measurement adequacy of anthropometric markers among adolescents. A web school-based 12-month cluster-randomized controlled trial examining 7th to 9th grade students was conducted in twelve schools in Salvador, Bahia, Brazil. The schools’ students were randomly distributed into the intervention and control groups. The intervention group participated in StayingFit, an online program designed to encourage and guide healthy eating habits and control body weight. Data on food consumption, anthropometry, physical activity level, and sedentary behavior were collected from all of the students at the beginning of and after the 12-month study. Demographic and socioeconomic data were collected at baseline. The baseline data indicated high rates of overweight (14.4% overweight and 8.5% obese), insufficiently active (87.6%), and sedentary (63.7%). Furthermore, few adolescents regularly consumed fruits (18.8%) and vegetables/legumes (16.4%). Generalized estimating equations (GEEs) were used to evaluate the effect of the intervention. At the end of the follow-up period, students in the intervention group had a 43% increased chance of regularly consuming beans (OR = 1.43, 95% CIs = 1.10–1.86) and a 35% decreased chance of regularly consuming soft drinks (OR = 0.65, 95% CIs = 0.50–0.84). No differences were found between the groups studied with regard to the anthropometric parameters. Despite these modest results, the implementation of a web intervention can be beneficial and help promote positive changes in adolescent eating habits.
RESUMOA crescente complexidade dos sistemas industriais e o consequente aumento da automação e instrumentação dos processos têm tornado os sistemas de detecção, diagnóstico e correção de falhas (Fault Detection, Diagnosis and Correction, FDDC) cada vez mais importantes. Neste trabalho é feita uma reflexão sobre a pesquisa em detecção, diagnóstico e correção de falhas, a partir de uma análise crítica das definições e terminologias utilizadas. Dessa forma, são propostas as terminologias e definições que parecem mais apropriadas para a área, suas atividades básicas e seus objetos de estudo, a partir do confronto das visões de diversos autores, já que isto não foi feito até o momento por nenhum trabalho da literatura. Também são apontados os principais sistemas industriais investigados nos últimos anos para a resolução de problemas de FDDC, e são averiguadas quais são as técnicas mais aplicadas na resolução destes problemas. Palavras-chave: Detecção, diagnóstico e correção de falhas; processos industriais; definições; terminologia.
ABSTRACTThe increasing complexity of industrial systems and the consequent growth in instrumentation and process automation have given FDDC -Fault Detection, Diagnosis and Correction -systems an increasingly important role. This paper reflects on research into fault detection, diagnosis and correction through a critical analysis of the definitions and terminology used. The terminology and definitions that seem most appropriate for the research field, for its activities and for its object of study are proposed to conciliate the clash of visions of various authors, since this was not done yet by any work of literature. Furthermore, the most commonly studied industrial systems are highlighted as well as the most commonly used techniques in recent works with applications in these industrial problems.
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