HighlightsThe study population shows high prevalence of neck pain.The factors were widowed, income, educational level, sitting posture and diseases.Prevention should emphasize sociodemographic, behavioral, and ergonomic factors.

Objective: To compare men and women with low back pain and identify the prevalence and some of its associated factors in a population-based sample of adults aged 20 and over a seven day period. Methods: Cross-sectional study based on a population survey. 600 individuals were interviewed on the following: (1) characteristics of the participants (i.e. demographic, socioeconomic, and labor aspects); (2) physical activity level (IPAQ); (3) musculoskeletal symptoms (Nordic Questionnaire). Descriptive, bivariate, and Poisson regression analyses were performed. Results: Overall prevalence of LBP was 28.8%, being 39.0% in men and 60.9% in women. The measured associated factors in men were age between 36 and 59 years (PR = 3.

Objective: To determine the prevalence of low back pain in children and its relationship with gender, age, exercise practice and sedentary activities (time on TV and on computer and/or video game). Methods: We conducted a cross-sectional study with a sample of 1,461 students, being 754 males and 707 females enrolled in the 5th to 8th grades of all five local elementary schools of urban Ourinhos, SP, Brasil, aged 10-14 years old, from whom sociodemographic data, time spent on sedentary activities such as TV and computer and/or video game were collected. We conducted a descriptive, bivariate and multivariate binary logistic regression. Results: The results showed that the prevalence of low back pain in the sample was 18.5%, being 15.5% in boys and 21.6% in girls. Low back pain was associated to the female gender, age range between 12-14 years and the habit of watching TV more than three times a week and over 3 hours per day. Conclusion: The students analyzed showed high prevalence of low back pain related to gender, age and habit of watching TV. Appropriate interventions should be implemented to reduce the occurrences of back pain in schoolchildren. Level of Evidence III, Cross Sectioning.

92 más, residentes de la ciudad de Bauru, São Paulo, y su asociación con la cantidad de morbilidades referidas. Se realizó una encuesta poblacional mediante una muestra compleja en dos estadios, con un total de 600 participantes de la zona urbana de Bauru. Para la recolección de datos se utilizó los siguientes instrumentos: 1. caracterización de los participantes (aspectos demográficos, socioeconómicos, nivel de actividad física y hábito de fumar); 2. morbilidades (referida mediante la pregunta: "En el último año, usted ha recibido el diagnóstico médico de alguna enfermedad?"); 3. calidad de vida (utilizando el cuestionario Medical Outcomes Study 36 -Item Short-Form Health Survey -SF-36). Se realizó análisis descriptivos y bivariados, mediante la prueba T de Student y Anova. Se observó que 70,5% presentaron por lo menos una enfermedad, y las principales referidas fueron la hipertensión, la artrosis, la depresión y la diabetes. En relación a la asociación entre los números de enfermedades, las personas mayores y las que refirieron tres o más enfermedades presentaron peores scores de QVRS en todos los dominios físicos y en las limitaciones por aspectos sociales y emocionales.El mayor número de morbilidades se asoció a los menores scores de calidad de vida relacionada a la salud.Palabras clave | Morbilidad; Calidad de Vida; Cuestionarios.

ObjectiveTo verify the association among sociodemographic variables, physical activity level and health-related quality of life in adults aged 20 years and over.MethodsPopulation-based study, with household sample by clusters. The dependent variables were the PCS and MCS scores of the instrument 36-Item Short-Form Health Survey (SF-36), the independent variables were gathered in sociodemographic characteristics and the level of physical activity. Absolute and relative frequency distributions were used for categorical variables and bivariate analysis, using Student’s t-test and ANOVA and multivariate using non-conditional logistic regression.ResultsOf the 600 interviewees, the mean PCS score for men was 80.2 and for women 74.6, while for MCS, 83.8 (±16.9) and 76.5 (±23.3), for men and women, respectively. Women tend to report lower scores than men in all domains: men (OR=4.83) and women (OR=4.80) were older (OR=4.34) (OR=3.57) and sedentary women (OR=1.90) were associated with lower PCS scores, while older men (OR=3.96) and widowed and separated’ (OR=3.03) had lower MSC scores.ConclusionHRQoL was associated with advancing age and schooling, in both sexes, sedentary women and widowed and separated men.