Television viewing and its association with overweight in Colombian children: results from the 2005 National Nutrition Survey: A cross sectional study

<p>Abstract</p> <p>Background</p> <p>There has been an ongoing discussion about the relationship between time spent watching television and childhood obesity. This debate has special relevance in the Latin American region were the globalization process has increased the availability of screen-based entertainment at home. The aim of this study is to examine the association between television viewing and weight status in Colombian children.</p> <p>Methods</p> <p>This cross sectional investigation included children aged 5 to12 yrs from the National Nutrition Survey in Colombia (ENSIN 2005). Weight and height were measured in 11,137 children in order to calculate body mass index. Overweight was defined by international standards. Time spent viewing television was determined for these children through parental reports. Multiple logistic regression analyses were conducted for different subgroups and adjusted for potential confounders in order to study the association between television viewing and weight status in this population.</p> <p>Results</p> <p>Among the surveyed children, 41.5% viewed television less than two hours/day; 36.8% between two and 3.9 hours/day and 21.7% four or more hours/day. The prevalence of overweight (obesity inclusive) in this population was 11.1%. Children who were classified as excessive television viewers (between two and 3.9 hours/day or 4 or more hours/day) were more likely to be overweight (OR: 1.44 95% CI: 1.41–1.47 and OR: 1.32 95% CI: 1.30–1.34, respectively) than children who reported to watch television less than 2 hours/day. Stratified analyses by age, gender and urbanization levels showed similar results.</p> <p>Conclusion</p> <p>Television viewing was positively associated with the presence of overweight in Colombian children. A positive association between urbanization level and television viewing was detected. Considering that the majority of Colombian children lives in densely populated cities and appear to engage in excessive television viewing these findings are of public health relevance for the prevention of childhood obesity.</p

Social patterning of cardiovascular and metabolic risk in Colombian adults

ObjectivesTo test for differences in cardiovascular and metabolic risk (CMR) by educational attainment and physical capital. To compare CMR among black, indigenous, and mixed populations, accounting for socioeconomic status (SES).DesignWe conducted multivariate analyses using cross-sectional data from a national survey of Colombian adults (n = 10,814) to examine the social patterning of CMR. In sex/gender-stratified models, a CMR index was regressed on educational attainment, physical capital, ethnicity/race, and age.ResultsWomen with a primary education (OR = 1.64, 95% CI: 1.25, 2.15) had higher age- and ethnicity/race-adjusted odds of CMR than women with more than secondary education. Men with a primary education (OR = 0.67, 95% CI: 0.48, 0.92) had significantly lower adjusted odds of CMR than men with more than secondary education; these associations did not remain significant after adjustments for physical capital. Men in the first (OR = 0.45, 95% CI: 0.36, 0.57) and second (OR = 0.72, 95% CI: 0.57, 0.91) physical capital tertiles had significantly lower adjusted odds of CMR than those in the highest tertile. There was not a significant patterning of CMR by ethnicity/race for women or men, or by physical capital for women.ConclusionsFindings suggest that for Colombian adults CMR is patterned by SES; these associations differ by sex/gender

Income inequality and high blood pressure in Colombia: a multilevel analysis

The objective of this research was to examine the association between income inequality and high blood pressure in Colombia. Using a nationally representative Colombian sample of adults, and data from departments and municipalities, we fit sex-stratified linear and logistic multilevel models with blood pressure as a continuous and binary variable, respectively. In adjusted models, women living in departments with the highest quintile of income inequality in 1997 had higher systolic blood pressure than their counterparts living in the lowest quintile of income inequality (mean difference 4.42mmHg; 95%CI: 1.46, 7.39). Women living in departments that were at the fourth and fifth quintile of income inequality in 1994 were more likely to have hypertension than those living in departments at the first quintile in the same year (OR: 1.56 and 1.48, respectively). For men, no associations of income inequality with either systolic blood pressure or hypertension were observed. Our findings are consistent with the hypothesis that income inequality is associated with increased risk of high blood pressure for women. Future studies to analyze pathways linking income inequality to high blood pressure in Colombia are needed