Small area estimation of obesity prevalence and dietary patterns: A model applied to Rio de Janeiro city,Brazil

We propose the use of previously developed small area estimation techniques to monitor obesity and dietary habits in developing countries and apply the model to Rio de Janeiro city. We estimate obesity prevalence rates at the Census Tract through a combinatorial optimization spatial microsimulation model that matches body mass index and socio-demographic data in Brazil's 2008–9 family expenditure survey with Census 2010 socio-demographic data. Obesity ranges from 8% to 25% in most areas and affects the poor almost as much as the rich. Male and female obesity rates are uncorrelated at the small area level. The model is an effective tool to understand the complexity of the problem and to aid in policy design.     

Prevalencia e incidencia de sobrepeso y obesidad en 2,5 millones de niños y adolescentes en España

Introduction and objectivesChildhood obesity trends are plateauing in Spain, but limited information is available about how they differ by region. This study assessed childhood and adolescent the prevalence and incidence of overweight and obesity from 2005 to 2017 across 8 Spanish regions.MethodsThis longitudinal study used height and weight measurements from 2.5 million children aged 2 to 17 years to calculate overweight and obesity, according to the World Health Organization (WHO) guidelines. Data were obtained from The Base de datos para la Investigación Farmacoepidemiológica en Atención Primaria, and the Information System for Research in Primary Care. Prevalence and incidence rates and trends from 2005 to 2017 were calculated and stratified by age, sex, and region.ResultsThe overall obesity prevalence increased in boys and girls from age 2 (0.8%; 95%CI, 0.8-0.9 in both sexes) until peaking at age 7 in girls (17.3%; 95%CI, 17.1-17.5) and age 9 in boys (24.1%; 95%CI 23.9-24.3). The highest and lowest obesity prevalences were observed in Murcia and Navarre. Overall obesity prevalence trends decreased from 2005 to 2017 in all age-sex groups and in most regions. Highest obesity incidence rates were found in children aged 6 to 7 years, (4.5 [4.5-4.5] and 3.5 [3.5-3.5] new obesity cases per 100 person-years in boys and girls, respectively). Boys had higher prevalence and incidence rates than girls across all regions. Overweight/obesity prevalence and incidence rates and their trends were consistently higher than the obesity results, although a similar pattern was observed across sex and age.ConclusionsOverweight and obesity prevalence slightly decreased in Spain from 2005 to 2017, but regional, sex, and age differences persisted. Because incidence peaked around the age of 6 years, it may be important to begin health promotion programs at an early age.     

Socio-demographic factors,overweight/obesity and nutrients associated with hypertension among rural adults (≥18 years): Findings from National Nutrition Monitoring Bureau survey

BackgroundHypertension is the leading cause of death throughout the world. The study was conducted to assess the prevalence, determinants and knowledge & practices about hypertension among rural adults in India.MethodsA community-based cross-sectional study was carried out in 10 major states of India. Information on socio-economic & demographic particulars was collected and anthropometric measurements like height, weight, waist & hip circumference and blood pressure were measured. Foods and nutrient intakes were assessed by 24-h recall method. Analysis was done using SPSS window 22.ResultsThe prevalence of pre-hypertension was 45.3% (95% CI: 44.6–46.0) and hypertension was 22% (95% CI: 21.5–22.3) (age standardized prevalence; 20.2%) while, overweight/obesity was 22.6% (95% CI: 22.2–23.0) as per Asian cut offs (BMI≥23). The prevalence of hypertension was higher in West Bengal (29.5%) and Kerala (28.9%) and low in Madhya Pradesh and Uttar Pradesh (16–19%). The odds of hypertension was 1.2 times higher among forward communities, businessmen, tobacco users and those consuming alcohol, 2–3 times higher among overweight (CI: 1.87–2.25) and obese (2.65–3.27). The odds of hypertension was 1.2 times higher among those consuming lower tertile of carbohydrates (CI = 1.02–1.41) and zinc (CI = 1.11–1.42). About 76% were aware of hypertension, 21% were old hypertensive & 19% were on treatment. Conclusions: Age standardized prevalence of hypertension was 20% among adults and was associated with age, occupation, overweight/obesity, tobacco and alcohol use, low intake of carbohydrates and zinc. Therefore, increasing awareness and consumption of healthy diet through behavior change communication will help to control hypertension among adults.     

Association between overweight and characteristics of young adult students: support for nursing care

OBJECTIVE:

to verify associations between overweight and the characteristics of young adult students to support nursing care.

METHOD:

case-control study conducted with young adults from public schools. The sample was composed of 441 participants (147 cases and 294 controls, with and without excess weight, respectively). Sociodemographic and clinical characteristics were collected together with exposure factors and anthropometrics. Multiple logistic regression was used. The study received Institutional Review Board approval.

RESULTS:

statistically significant association with overweight: non-Caucasian, having a partner; weight gain during adolescence, mother''s excess weight, the use of obesogenic medication, augmented diastolic blood pressure, of abdominal circumference and waist/hip ratio. In addition to these, schooling and weight gain during childhood were also included in the multivariate analysis. After adjustment, the final model included: having a partner, weight gain during adolescence, augmented diastolic blood pressure and abdominal circumference.

CONCLUSION:

the analysis of predictor variables for excess weight among young adult students supports nurses in planning and developing educational practices aimed to prevent this clinical condition, which is a risk factor for other chronic comorbidities, such as cardiovascular diseases.