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Background: Overweight and obesity lead to higher probability of individuals accessing primary care but adiposity estimates are rarely available at regional levels to inform health service planning. This paper analyses a large, community-derived clinical database of objectively measured body mass index (BMI) to explore relationships with area-level socioeconomic disadvantage for informing regional level planning activities., Materials and Methods: The study included 91776 adults who had BMI objectively measured between 1 July 2009 and 30 June 2011 by a single pathology provider. Demographic data and BMI were extracted and matched to 2006 national census socioeconomic data using geocoding. Adjusted odds-ratios for overweight and obesity were calculated using sex-stratified logistic regression models with socioeconomic disadvantage of census collection district of residence as the independent variable., Results: The prevalence of overweight or obesity was 79.2% (males) and 65.8% (females); increased with age to 74 years; and was higher in rural (74%) versus urban areas (71.4%) (p<0.001). Increasing socioeconomic disadvantage was associated with increasing prevalence of overweight (p<0.0001), obesity (p<0.0001) and overweight or obesity (p<0.0001) in women and obesity (p<0.0001) in men. Socioeconomic disadvantage was unrelated to overweight (p = 0.2024) and overweight or obesity (p = 0.4896) in males., Conclusion: It is feasible to link routinely-collected clinical data, representative of a discrete population, with geographic distribution of disadvantage, and to obtain meaningful area-level information useful for targeting interventions to improve population health. Our results demonstrate novel area-level socioeconomic gradients in overweight and obesity relevant to regional health service planning.

Aim: To examine the bidirectional relationship between short sleep duration and body mass index (BMI). A secondary aim was to investigate whether reduced physical activity and increased screen time (television and computer use) mediated these associations., Methods: This study utilised data from the Longitudinal Study of Australian Children, which is an observational cohort study of Australian children. The sample included 2984 (52.4% boys) children followed from 4 to 5 years of age until 8 to 9 years of age. Sleep duration, screen time and covariates were reported by parents, with BMI measured objectively. Cross-lagged modelling investigated the bidirectional association between sleep duration and BMI; lagged panel mediation modelling examined physical activity and screen time as potential mediators., Results: Short sleep duration at 4 to 5 years of age was significantly associated with higher BMI at 8 to 9 years of age (β= -.07, p = .044). The relationship between short sleep duration at 4 to 5 years of age and higher BMI at 8 to 9 years of age was partially mediated by increased television viewing at 6 to 7 years of age (β = -.01, 95% confidence interval [-.02, -.002])., Conclusion: Short sleep duration could be a risk factor for obesity in children. Increased television viewing may be one mechanism underlying this longitudinal relationship., (©2013 Foundation Acta Paediatrica. Published by John Wiley & Sons Ltd.)

Aims: The study aims to examine whether patterns of health behaviours (based on sleep duration, physical activity, screen time and diet) were associated with obesity in Australian children., Methods: This paper included 1833 children aged 6-7 years (51.6% male) recruited in 2006 as part of the Longitudinal Study of Australian Children. Latent class analysis was performed to identify the presence of distinct behavioural profiles on the basis of sleep duration, physical activity, screen time and eating habits. Logistic regression was performed to examine the association between the behavioural profiles and obesity assessed at baseline and 2-year follow-up., Results: Three behavioural profiles, healthy (27.7%), sedentary (24.8%) and short sleepers/unhealthy eaters (47.5%), were identified. Compared with the healthy profile, the sedentary profile (odds ratio = 1.59, 95% confidence interval (1.06-2.38)) and short sleepers/unhealthy eaters (odds ratio = 1.47 (1.03-2.13)) had elevated odds of obesity at 2-year follow-up., Conclusions: The present study identified distinct profiles of health behaviours in this sample of Australian children. These findings add to existing findings that many health behaviours co-occur and that obesity interventions should target patterns of behaviours in children., (© 2013 The Authors. Journal of Paediatrics and Child Health © 2013 Paediatrics and Child Health Division (Royal Australasian College of Physicians).)

Obesity is associated with the increased incidence of colon cancer. Many cancer risk factors have been identified including increased blood levels of insulin, leptin, interleukin-6, interleukin-17, tumor necrosis factor-alpha, and decreased blood levels of adiponectin. However, the role of blood levels of estrogen in obesity-associated colon cancer is controversial. Evidence showed that obesity affected men more strongly than women in the carcinogenesis of colon cancer, indicating protective effect of estrogen which is increased in obesity. However, an epidemiological study has also shown that endogenous estradiol level is an independent risk factor for colon cancer, positively associated with colon cancer after normalizing insulin, IGF-1. The controversial opinions may be caused by different effects of ER-alpha and ER-beta. ER-alpha can increase colon cancer cell proliferation and increase cancer incidence. ER-beta has the opposite effect to ER-alpha, and it causes apoptosis of colon cancer cells. The normal colonocytes mainly express ER-beta. Therefore, increased estrogen in obesity may have protective effect via ER-beta in obesity-associated colon cancer. However, with the development of colon cancer, ER-alpha is increased and ER-beta is decreased. In the late stage of colon cancer, estrogen may promote cancer development via ER-alpha. The different effects and expression of ER-alpha and ER-beta may explain the different results observed in several epidemiological studies as well as several animal experiments. Therefore, manipulation of estrogen-caused signal pathways to inhibit ER-alpha and stimulate ER-beta may have preventive and therapeutic effect for obesity-associated colon cancer.

Objectives: To investigate the relationship between sleep duration and obesity in older Australian adults., Method: Self-reported health data were collected through the 45 and Up Study. Multinomial logistic regression models were used to test the relationship between sleep duration and body mass index, controlling for a range of demographic and health-related variables., Results: The sample included 45,325 Australian adults aged 55 to 95 years. The regression models demonstrated that short and long sleep were associated with obesity in 55- to 64-year-olds but not in those aged 65 years and above., Discussion: The present results suggest that the relationships between sleep duration and obesity previously reported in young and middle-aged adults are not evident in older adults. The absence of these relationships could reflect a combination of age-related factors that impact on sleep and body composition.

The present study examined the association between sleep duration and obesity in 40,834 middle-aged Australian adults. Multinomial logistic regression was used to test the relationship between sleep duration and obesity while controlling for important demographic and health covariates; separate models were tested for males and females. Short sleep (i.e., <7 h a night) was found to be independently associated with obesity in males and females. To our knowledge, this is the first study to report an association between short sleep and obesity in Australian adults. Although more research is required, interventions targeting short sleep could aid obesity treatment and prevention.