149 resultados para Determinants of overweight


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This study investigates the determinants of the fertility rate in Taiwan over the period 1966–2001. Consistent with theory, the key explanatory variables in Taiwan's fertility model are real income, infant mortality rate, female education and female labor force participation rate. The test for cointegration is based on the recently developed bounds testing procedure while the long-run and short-run elasticities are based on the autoregressive distributed lag model. Among our key results, female education and female labor force participation rate are found to be the key determinants of fertility in Taiwan in the long run. The variance decom-position analysis indicates that in the long run approximately 45percent of the variation in fertility is explained by the combined impact of female labor force participation, mortality and income, implying that socioeconomic development played an important role in the fertility transition in Taiwan. This result is consistent with the traditional structural hypothesis.

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This study investigates the determinants of the fertility rate in China over the 1952-2000 period. Consistent with theory, the key explanatory variables in our fertility model are real per capita income, infant mortality rate, female illiteracy and female labour force participation rates. The long-run results and the test for cointegration are based on the Johansen (1988) and Johansen & Juselius (1990) approach. Our long-run results conform to theory in that all variables appear with their expected signs, and the dummy variable used to capture the effects of the family planning policy indicates that in the years of the policy, fertility rates have been falling by around 10-12%. Our results suggest that socio-economic development - consistent with the traditional structural hypothesis - played a key role in China's fertility transition.

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Participation in physical activity helps prostate cancer survivors to cope with the side effects of treatment, enhances quality of life and decreases the risks of many of the comorbidities to which survivors are highly susceptible. Prostate cancer survivors, however, are less likely than other cancer survivors (e.g., breast and colorectal) to increase physical activity after diagnosis. Interventions have been only modestly successful at increasing participation in physical activity for prostate cancers survivors and more research is needed to increase our understanding of the determinants of physical activity for this group. Using a social ecological framework, this qualitative research sought to examine the individual, social and environmental determinants of participation in physical activity for prostate cancer survivors. In-depth interviews were conducted with 20 survivors of prostate cancer aged between 35 and 75 years. Participants were drawn from a public and a private health service and from a range of treatment types. We are currently collecting data for this study and preliminary themes will be discussed at the conference (abstract will be updated once findings are known).

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Affective factors are likely to play a major role in determining the extent to which offenders are able to engage with, and benefit from, treatment. In this article, it is argued that the relationship between affect and treatment engagement may be understood in three ways: the access the client has to emotional states, the ability to express such states, and the willingness of the client to do this in the therapeutic session. It is suggested that affective determinants of treatment readiness can be understood with reference tomodels of emotional regulation and that attention to these affective factors in the early stages of treatment is likely to promote engagement, reduce attrition, and consequently improve treatment outcomes for violent offenders.

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This study examined the prospective associations of BMI, physical activity (PA), changes in BMI, and changes in PA, with depressive symptoms. Self-reported data on height, weight, PA, selected sociodemographic and health variables and depressive symptoms (CESD-10) were provided in 2000 and 2003 by 6,67 young adult women (22–27 years in 2000) participating in the Australian Longitudinal Study on Women's Health (ALSWH). Results of logistic regression analyses showed that the odds of developing depressive symptoms at follow-up (2003) were higher in women who were overweight or obese in 2000 than in healthy weight women, and lower in women who were active in 2000 than in sedentary women. Changes in BMI were significantly associated with increased odds of depressive symptoms at follow-up. Sedentary women who increased their activity had lower odds of depressive symptoms at follow-up than those who remained sedentary. Increases in activity among initially sedentary young women were protective against depressive symptoms even after adjusting for BMI changes. These findings indicate that overweight and obese young women are at risk of developing depressive symptoms. PA appears to be protective against the development of depressive symptoms, but does not attenuate the depressive symptoms associated with weight gain. However, among initially sedentary young women, even small increases in PA over time may reduce the odds of depressive symptoms, regardless of weight status.

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Objectives: Adolescent obesity is linked to measurable, asymptomatic metabolic and cardiovascular precursors, but its associations with adolescents’ experienced health and morbidity is less clear. The objective of this paper was to determine (1) Prevalence of comorbidities experienced by overweight/obese adolescents; (2) Associations between timing of overweight/obesity and morbidity.

Methods: Data were drawn from the three waves (1997, 2000, 2005) of the Health of Young Victorians Study (HOYVS), an Australian school-based longitudinal study. The main outcome measures were blood pressure; self- and parent-proxy reported health status (PedsQL, global health); self-reported mental health (SDQ), psychological distress (K-10), physical symptoms, sleep, asthma, and dieting; parent-reported health care needs (CSHCN screener) and visits. Regression methods, adjusted for sociodemographic factors, were used to assess associations with (1) Body mass index (BMI) status (non-overweight, overweight or obese) and (2) Timing of overweight/obesity ( never , childhood only , adolescence only , ‘persistent ).

Results: Of the 923 adolescents (20.2% overweight, 6.1% obese), 63.5% were categorised as ‘never’ overweight/obese, 8.5% as ‘childhood only’, 7.3% as ‘adolescence only’, and 20.8% as ‘persistent’. Current BMI status was strongly associated with poorer physical and global health, hypertension and dieting behaviours. Associations were weaker for emotional morbidity, and there was no clear evidence of association with any other variable. Other than dieting, adolescent morbidity was not associated with resolved childhood overweight/obesity.

Conclusions: Despite poorer overall health, overweight/obese adolescents were not more likely to report specific problems that might prompt health intervention. Morbidity was mainly associated with concurrent, rather than earlier, overweight/obesity.

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Background: This article aims to examine the relative contribution of occupational activity to English adults’ meeting of government recommendations for physical activity (PA).

Methods: Data were extracted from a cross-sectional survey of householders in the UK via the Health Survey for England.1 In total, 14,018 adult participants were included in the analysis. Multivariate logistic regression was used to examine the odds of achieving PA recommendations with and without including occupational activity and to examine the contribution of gender and social and demographic characteristics.

Results: When occupational PA was included, 36% of men and 25% of women were active at the recommended level. Once occupational PA was removed, these proportions were 23% and 19%, respectively. These results were socially patterned, most notably by age and gender.

Conclusions: Occupational PA provides a substantial contribution to those meeting the government target for PA.

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This paper reviews previous cost studies of overweight and obesity in the UK. It proposes a method for estimating the economic and health costs of overweight and obesity in the UK which could also be used in other countries. Costs of obesity studies were identified via a systematic search of electronic databases. Information from the WHO Burden of Disease Project was used to calculate the mortality and morbidity cost of overweight and obesity. Population attributable fractions for diseases attributable to overweight and obesity were applied to National Health Service (NHS) cost data to estimate direct financial costs. We estimate the direct cost of overweight and obesity to the NHS at £3.2 billion. Other estimates of the cost of obesity range between £480 million in 1998 and £1.1 billion in 2004 [Correction added after online publication 11 June 2007: 'of the cost of obesity' added after 'Other estimates']. There is wide variation in methods and estimates for the cost of overweight and obesity to the health systems of developed countries. The method presented here could be used to calculate the costs of overweight and obesity in other countries. Public health initiatives are required to address the increasing prevalence of overweight and obesity and reduce associated healthcare costs.

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Introduction: In this paper I review previous cost studies for overweight and obesity in the UK. I propose a method for estimating the economic and health costs of overweight and obesity in the UK which could also be used in other countries.

Methods: Costs of obesity studies were identified via a systematic search of electronic databases. Information from the WHO Burden of Disease Project was used to calculate the mortality and morbidity cost of overweight and obesity.
Population attributable fractions for diseases attributable
to overweight and obesity were applied to National Health Service (NHS) cost data to estimate direct financial costs.

Results: We estimate the direct cost of overweight and obesity to the NHS at £3.2 billion. Other estimates range between £480 million in 1998 and £1.1 billion in 2004. There is wide variation in methods and estimates for the cost of overweight and obesity to the health systems of developed countries.

Conclusion: The method presented here could be used to calculate the costs of overweight and obesity in other countries. Public health initiatives are required to address the increasing prevalence of overweight and obesity and reduce associated healthcare costs.

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This review summarises current evidence relating to the effectiveness of physical activity (PA) interventions for treating overweight and obesity and type 2 diabetes. Interventions to increase PA for the treatment of overweight and obesity in both children and adults have primarily consisted of health education and behaviour modification strategies in clinical settings or with selected families or individuals. Although evidence is limited, strategies to reduce sedentary behaviours appear to have potential for reducing obesity among children and adolescents. Among adults, strategies that combine diet and PA are more effective than PA strategies alone. Combined lifestyle strategies are most successful for maintained weight loss, although most programs are unsuccessful in producing long-term changes. There is little evidence about compliance to prescribed behaviour changes or the factors that promote or hinder compliance to lifestyle changes. Limited evidence suggests that continued professional contact and self-help groups can help sustain weight loss. Most of the interventions for the treatment of type 2 diabetes have been conducted in clinical settings and have typically required the use of extensive resources. Evidence suggests that interventions can lead to small but clinically meaningful improvements in glycaemic control, even in the absence of weight loss. A recent study demonstrated that a multifactorial intervention (diet, PA and pharmaceutical) can reduce the risk of diabetes complications in individuals with type 2 diabetes. Nevertheless, there is little evidence about the effectiveness of community-based interventions in producing long-term changes in glycaemic control and reduced mortality in people with type 2 diabetes.

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Youth violence is a global problem. Few studies have examined whrther the prevalence or predictors of youth violence are similar in comparable Western countries like Australia and the United States (US). In the current article, analyses are conducted using two waves of data collected as part of a longitudinal study of adolescent development in approximately 4,000 students aged 12 to 16 years in Victoria, Australia and Washington State, US. Students completed a self-report survey of problem behaviours including violent behaviour, as well as risk and protective factors across five domains (individual, family, peer, school, community). Compared to Washington State, rates of attacking or beating another over the past 12 months were lower in Victoria for females in the first survey and higher for Victorian males in the follow-up survey. Preliminary analyses did not show state-specific predictors of violent behaviour. In the final multivariate analyses of the combined Washington State and Victorian samples, protective factors were being female and student emotion control. Risk factors were prior violent behaviour, family conflict, association with violent peers, community disorganisation, community norms favourable to drug use, school suspensions and arrests. Given the similarity of influential factors in North America and Australia, application of US early intervention and prevention programs may be warranted, with some tailoring to the Australian context.