Prevalência e fatores associados à síndrome metabólica em usuários de unidades básicas de saúde em São Paulo - SP

OBJETIVO: Determinar a relação da síndrome metabólica (SM) com o nível socioeconômico, hábitos comportamentais, condições de saúde, antecedentes familiares de morbidades e áreas de residência. MÉTODOS: Trata-se de um estudo de corte transversal. A amostra aleatória foi constituída por usuários de duas Unidades Básicas de Saúde da cidade de São Paulo - Jardim Comercial (UBS1) e Jardim Germânia (UBS2) -, totalizando 452. Para o diagnóstico de SM utilizou-se o critério do Third Report of the National Cholesterol Education Program Expert Panel on Detection, Evaluation and Treatment of High Blood Cholesterol in Adults (NCEP-ATP III). Na avaliação antropométrica foram aferidas medidas de peso, estatura, circunferências abdominal e do quadril. Foi utilizado questionário geral para obtenção de dados sociodemográficos, socioeconómicos, antecedentes familiares e pessoais de morbidades, hábitos comportamentais como tabagismo, etilismo e nível de atividade física. Foi estabelecida associação entre as variáveis explicativas de interesse e SM, empregando-se a regressão logística multivariada. RESULTADOS: Na UBS1, o percentual de SM foi de 56,1% e na UBS2, de 34,0%. Houve associação direta e significativa entre SM e idade, sexo feminino, cor, tabagismo, etilismo, nível de atividade física, estresse e antecedentes familiares de doença cardíaca e de diabetes mellitus. A escolaridade apresentou associação inversa: morar no bairro de menor nível socioeconómico aumentou a chance de SM. CONCLUSÃO: Os resultados sugerem que as morbidades que compõem a SM são um grave problema de saúde pública nessa população.

Disabling hearing loss prevalence in Juiz de Fora, Brazil

Data on the prevalence of disabling hearing loss (DHL) in Brazil is scarce, which impacts healthcare professionals' knowledge on the extent of the problem. Objectives: This study aimed at estimating DHL prevalence in the municipality of Juiz de Fora, Minas Gerais, to identify individual-related variables and find risk areas. Materials and Methods: This was a descriptive sectional population study held from January to October of 2009. We randomly selected 349 households with 1,050 individuals who with ages ranging between 4 days and 95 years. The data collection instruments were: WHO structured questionnaire, ENT examination and laboratory tests. Chi-square and Poisson regression models were used for analyses. Results: DHL prevalence was estimated at 5.2% (95% CI = 3.1 to 7.3) which was classified as moderate in 3.9% (95% CI = 0.001 to 0.134), severe in 0.9% (95% CI = 0.001 to 0.107) and profound in 0.4% (95% CI = 0.001 to 0.095). We found correlation between DHL and tinnitus; age over 60 years and low educational level. Conclusions: Our data obtained pointed to the need to create hearing health programs targeted to specific risk groups, promoting quality of life for hearing impaired patients.

Precision of Usual Food Intake Estimates According to the Percentage of Individuals with a Second Dietary Measurement

Background Statistical methods for estimating usual intake require at least two short-term dietary measurements in a subsample of the target population. However, the percentage of individuals with a second dietary measurement (replication rate) may influence the precision of estimates, such as percentiles and proportions of individuals below cut-offs of intake. Objective To investigate the precision of the usual food intake estimates using different replication rates and different sample sizes. Participants/setting Adolescents participating in the continuous National Health and Nutrition Examination Survey 2007-2008 (n=1,304) who completed two 24-hour recalls. Statistical analyses performed The National Cancer Institute method was used to estimate the usual intake of dark green vegetables in the original sample comprising 1,304 adolescents with a replication rate of 100%. A bootstrap with 100 replications was performed to estimate CIs for percentiles and proportions of individuals below cut-offs of intake. Using the same bootstrap replications, four sets of data sets were sampled with different replication rates (80%, 60%, 40%, and 20%). For each data set created, the National Cancer Institute method was performed and percentiles, Cl, and proportions of individuals below cut-offs were calculated. Precision estimates were checked by comparing each Cl obtained from data sets with different replication rates with the Cl obtained from original data set. Further, we sampled 1,000, 750, 500, and 250 individuals from the original data set, and performed the same analytical procedures. Results Percentiles of intake and percentage of individuals below the cut-off points were similar throughout the replication rates and sample sizes, but the Cl increased as the replication rate decreased. Wider CIs were observed at 40% and 20% of replication rate. Conclusions The precision of the usual intake estimates decreased when low replication rates were used. However, even with different sample sizes, replication rates >40% may not lead to an important loss of precision. J Acad Nutr Diet. 2012;112:1015-1020.