Urban living and obesity : is it independent of its population and lifestyle characteristics?

OBJECTIVES: Living in an urban area influences obesity. However, little is known about whether this relationship is truly independent of, or merely mediated through, the demographic, socio-economic and lifestyle characteristics of urban populations. We aimed to identify and quantify the magnitude of this relationship in a Sri Lankan population.

METHODS: Cross-sectional study of adults aged 20-64 years representing the urban (n = 770) and rural (n = 630) populations, in the district of Colombo in 2004. Obesity was measured as a continuous variable using body mass index (BMI). Demographic, socio-economic and lifestyle factors were assessed. Gender-specific multivariable regression models were developed to quantify the independent effect of urban/ rural living and other variables on increased BMI.

RESULTS: The BMI (mean; 95% confidence interval) differed significantly between urban (men: 23.3; 22.8-23.8; women: 24.2; 23.7-24.7) and rural (men: 22.3; 21.9-22.7; women: 23.2; 22.7-23.7) sectors (P < 0.01). The observed association remained stable independently of all other variables in the regression models among both men (coefficient = 0.64) and women (coefficient = 0.95). These coefficients equated to 2.2 kg weight for the average man and 1.7 kg for the average woman. Other independent associations of BMI were with income (coefficient = 1.74), marital status (1.48), meal size (1.53) and religion (1.20) among men, and with age (0.87), marital status (2.25) and physical activity (0.96) among women.

CONCLUSIONS: Urban living is associated with obesity independently of most other demographic, socio-economic and lifestyle characteristics of the population. Targeting urban populations may be useful for consideration when developing strategies to reduce the prevalence of obesity.

Maternal and best friends' influences on meal-skipping behaviours

Skipping meals is particularly common during adolescence and can have a detrimental effect on multiple aspects of adolescent health. Understanding the correlates of meal-skipping behaviours is important for the design of nutrition interventions. The present study examined maternal and best friends’ influences on adolescent meal-skipping behaviours. Frequency of skipping breakfast, lunch and dinner was assessed using a Web-based survey completed by 3001 adolescent boys and girls from years 7 and 9 of secondary schools in Victoria, Australia. Perceived best friend and maternal meal skipping, modelling of healthy eating (eating healthy food, limiting junk food, eating fruit and vegetables) and weight watching were assessed. Best friend and maternal factors were differentially associated with meal-skipping behaviours. For example, boys and girls who perceived that their best friend often skipped meals were more likely to skip lunch (OR ¼ 2·01, 95% CI 1·33, 3·04 and OR ¼ 1·93, 95% CI 1·41, 2·65; P,0·001). Boys and girls who perceived that their mother often skipped meals were more likely to skip breakfast (OR ¼ 1·48, 95% CI 1·01, 2·15; P,0·05 and OR ¼ 1·93, 95% CI 1·42, 2·59; P,0·001) and lunch (OR ¼ 2·05, 95% CI 1·35, 3·12 and OR ¼ 2·02, 95% CI 1·43, 2·86; P,0·001). Educating adolescents on how to assess and interpret unhealthy eating behaviours that they observe from significant others may be one nutrition promotion strategy to reduce meal-skipping behaviour. The involvement of mothers may be particularly important in such efforts. Encouraging a peer subculture that promotes regular consumption of meals and educates adolescents on the detrimental impact of meal-skipping behaviour on health may also offer a promising nutrition promotion strategy.