20 resultados para Fast foods
em Deakin Research Online - Australia
Resumo:
Access to healthy food can be an important determinant of a healthy diet. This paper describes the assessment of access to healthy and unhealthy foods using a GIS accessibility programme in a large outer municipality of Melbourne. Access to a major supermarket was used as a proxy for access to a healthy diet and fast food outlet as proxy for access to unhealthy food. Our results indicated that most (>80%) residents lived within an 8–10 min car journey of a major supermarket i.e. have good access to a healthy diet. However, more advantaged areas had closer access to supermarkets, conversely less advantaged areas had closer access to fast food outlets. These findings have application for urban planners, public health practitioners and policy makers.
Resumo:
It is known that the consumption of fast food is associated with obesity (Binkley 2000). Relative ease of access to fast foods compared with healthy foods may contribute to the increasing prevalence of obesity. The aim of this study was to determine and compare the access by car to fast foods and a healthy diet. The study was located in the City of Casey, a municipality in South East Melbourne with a population of 220,000. We have previously shown that ease of access to a large chain supermarket ensures access to a basket of healthy foods adequate to meet the nutritional needs of a family of 6 (Burns 2004). The City of Casey council provided location details for major fast food outlets and supermarkets. Fast food was defined as food sourced from an outlet without table service. We included only those major fast food chain outlets which had more than 10 franchises within Australia. We included the 3 major supermarket chains that account for 87% total food retailing in Victoria. Geographic details from the City of Casey were used to map the location of these outlets. Then using these locations and road network a basic cost distance model was created for either the supermarket chains or fast food chains outlets. The cost unit is (time), it was to calculate by giving the roads in the network an average travel speed depending in the type of road (minor, major or highway) and then calculating how long it would take to reach the closest outlet. Access to supermarket and fast food outlets were determined relative to population density.
Our results indicate that in the City of Casey most (> 80%) people live within an 8-10 minute car journey of a major supermarket and a fast food outlet. Fifty percent of the fast food outlets are co-located with a supermarket. We conclude that access to both healthy food and fast food in the City of Casey is good if you own a car. The increasing demand for fast food is easily met in this municipality. Obesity prevention strategies in Casey should concentrate on the food choices available at fast food outlets and town planning to ensure a mix of food outlets to maximize the likelihood of healthy food choices.
Resumo:
Soft drink and fast food are energy dense foodstuffs that are heavily marketed to adolescents, and are likely to be important in terms of risk of obesity. This study sought to examine the influences on soft drink and fast food consumption among adolescents as part of a cross-sectional survey of 2,719 adolescents (aged 11-16) from 93 randomly selected schools in New South Wales, Australia. Students provided information on soft drink and fast food consumption, and responded to statements examining influences over consumption. Over half of the boys and more than one third of the girls reported drinking soft drink daily, and consumption peaked in Grade 8 students. A quarter of students reported choosing soft drinks instead of water or milk, and around 40% agreed that soft drink was usually available in their homes. Availability in the home and drinking soft drinks with meals was most strongly associated with consumption in all age groups. Fast food consumption was higher among boys than girls in all age groups. Convenience and value for money yielded the strongest associations with fast food
consumption in boys, while preferring fast food to meals at home and preferring to “upsize” meals were most strongly associated with consumption in girls. Interventions to reduce consumption of soft drinks should target availability in both the home and school environment by removing soft drinks and replacing them with more nutritive beverages. Fast food outlets should be encouraged to provide a greater range of healthy and competitively priced options in reasonable portions.
Resumo:
Background
Chronic diseases are the leading cause of premature death and disability in the world with over-nutrition a primary cause of diet-related ill health. Excess quantities of energy, saturated fat, sugar and salt derived from fast foods contribute importantly to this disease burden. Our objective is to collate and compare nutrient composition data for fast foods as a means of supporting improvements in product formulation.
Methods/design
Surveys of fast foods will be done in each participating country each year. Information on the nutrient composition for each product will be sought either through direct chemical analysis, from fast food companies, in-store materials or from company websites. Foods will be categorized into major groups for the primary analyses which will compare mean levels of saturated fat, sugar, sodium, energy and serving size at baseline and over time. Countries currently involved include Australia, New Zealand, France, UK, USA, India, Spain, China and Canada, with more anticipated to follow.
Discussion
This collaborative approach to the collation and sharing of data will enable low-cost tracking of fast food composition around the world. This project represents a significant step forward in the objective and transparent monitoring of industry and government commitments to improve the quality of fast foods.
Resumo:
Objective: To examine the pattern of intake of key foods and beverages of children aged 4–12 years and the association with weight status.
Design and setting: A computer-assisted telephone interview was used to determine the intake of fruit, vegetables, packaged snacks, fast foods and sweetened drinks ‘yesterday’ and ‘usually’ as reported by parents/guardians of a representative sample of 2184 children from the Barwon South-Western region of Victoria, Australia.
Results: Children who consumed .2–3, .3–4 and .4 servings of fruit juice/drinks ‘yesterday’ were, respectively, 1.7 (95% confidence interval (CI) 1.2–2.2), 1.7 (95% CI 1.2–2.5) and 2.1 (95% CI 1.5–2.9) times more likely to be overweight/obese compared with those who had no servings of fruit juice/drink ‘yesterday’, adjusted for age, gender and socio-economic status (SES). Further, children who had $3 servings
of soft drink ‘yesterday’ were 2.2 (95% CI 1.3–3.9) times more likely to be
overweight/obese compared with those who had no servings of soft drink ‘yesterday’, adjusted for age, gender and SES. In addition, children who ‘usually’ drank fruit juice/drinks twice or more per day were 1.7 (95% CI 1.2–2.4) times more likely to be overweight/obese compared with those who drank these beverages once or less per week, adjusted for age, gender and SES. Although fast foods and packaged snacks were regularly eaten, there were no associations between weight status and
consumption of these foods.
Conclusions: Intake of sweetened beverages was associated with overweight and obesity in this population of Australian schoolchildren and should be a target for intervention programmes aimed at preventing unhealthy weight gain in children.
Resumo:
Objective : We examined associations between density of and proximity to fast food outlets and body weight in a sample of children (137 aged 8-9 years and 243 aged 13-15 years) and their parents (322 fathers and 362 mothers).
Methods : Children's measured and parents' self-reported heights and weights were used to calculate body mass index (BMI). Locations of major fast food outlets were geocoded. Bivariate linear regression analyses examined associations between the presence of any fast food outlet within a 2 km buffer around participants' homes, fast food outlet density within the 2 km buffer, and distance to the nearest outlet and BMI. Each independent variable was also entered into separate bivariate logistic regression analyses to predict the odds of being overweight or obese.
Results : Among older children, those with at least one outlet within 2 km had lower BMI z-scores. The further that fathers lived from an outlet, the higher their BMI. Among 13-15-year-old girls and their fathers, the likelihood of overweight/obesity was reduced by 80% and 50%, respectively, if they had at least one fast food outlet within 2 km of their home. Among older girls, the likelihood of being overweight/obese was reduced by 14% with each additional outlet within 2 km. Fathers' odds of being overweight/obese increased by 13% for each additional kilometre to the nearest outlet.
Conclusions : While consumption of fast food has been shown to be associated with obesity, this study provides little support for the concept that exposure to fast food outlets in the local neighbourhood increases risk of obesity.
Resumo:
Objective: The present study aimed to examine associations between availability of outlets where takeaway or fast food could be purchased and consumption of takeaway or fast food among children.
Design Cross-sectional: Parents completed a questionnaire regarding the frequency per week their child usually ate takeaway or fast foods. The availability of outlets where these foods could be purchased close to home and en route to school was determined with a Geographic Information System (presence of any outlets and density of outlets within 800 m from home and along the route to school, and distance from home to closest outlet).
Setting: Greater Melbourne and Geelong, Australia.
Subjects: Three hundred and fifty-three children aged 5–6 years and 463 children aged 10–12 years.
Results: Overall, 69·4 % of children consumed takeaway or fast foods once weekly or more often. Only one measure of availability of outlets close to home was associated with consumption; each additional outlet within 800 m was associated with 3 % lower odds of consuming takeaway or fast foods at least once weekly (OR = 0·97, 95 % CI 0·95, 1·00). There were no associations between availability en route to school and the likelihood of consuming takeaway or fast food at least once weekly.
Conclusions: Access to outlets where takeaway or fast food could be purchased did not predict frequency of consumption of takeaway or fast food in the expected direction. Such relationships appear to be complex and may not be adequately captured by the measures of access included in the current study.
Resumo:
Objective: (i) To describe sub-Saharan African (SSA) post-migration food habits and eating patterns; and (ii) to examine how the food habits of SSA households in Victoria reflect post-migration acculturation.
Design: A cross-sectional survey using a snowball sampling technique. Data on food habits and eating patterns were obtained using semi-structured, face-to-face interviews from November 2001 to April 2002.
Subjects: A total of 139 households of demographically diverse recent migrants from across sub-Saharan Africa.
Setting: Melbourne metropolitan and Melbourne fringes.
Analysis: Data were summarised using descriptive statistics.
Results: SSA migrants and refugees indicated dietary acculturation characterised by three processes: substitution, supplementation and modification of recipes. They experienced difficulty locating their traditional foods, in particular, African vegetables (34.2%), unprocessed maize meal (29.1%), camel milk (23.1%) and maize grain (13.7%). The new foods adopted since arrival were pizza, breakfast cereals and fast foods, but also included new fruits and vegetables. Takeaway food such as Pizza Hut or McDonalds featured prominently in the SSA post-migration diet. Reasons for eating out were favourite food (48.3%), routine family outing (38.3%), special occasion (33.3%) and no time to cook (25%). A significant change in meal pattern was the inclusion of breakfast, although 21% reported skipping breakfast.
Conclusion: Many of the observed dietary changes were not consistent with good health and may predispose this population to rapid weight gain and chronic disease. Rapid modernisation and the Anglo-Australian culture interact in a complex way with traditional eating and socialisation practices of SSA migrants. Understanding these forces can allow effective health promotion and community development strategies to be developed for the future health of SSA migrants and their communities.
Resumo:
Objectives: This study aimed 10 evaluate the food intake pattens of adolescents with respect to the Australian Guide to Healthy Eating, and to examine variations in food intake patterns by age, gender and region of residence.
Design: Cross-sectional online food survey administered through schools. Participants and setting: In 2004-2005,3841 secondary students in years seven (12-13 years) and nine (14-15 years) drawn from 37 secondary schools in Victoria, Australia completed an online food intake patterns survey.
Outcome measures: Food intake was measured by a Food Frequency Questionnaire (FFQ), and categorized according to the five basic food groups (fruit, vegetables, meat, daily, cereal) and the 'extra' food group as defined by the Australian Guide to Healthy Eating (AGHE). The foods groups were examined in the study population and compared across age, gender and region.
Results: Many adolescents in this sample reported food intakes that deviated substantially from recommendations of the AGHE. For example, two-thirds of participants failed to consume foods from the five recommended food groups daily; over a third reported eating fruit 'rarely or never'; and 22% reported eating fast foods every day. Food intakes were generally more in line with dietary guidelines among girls than boys.
Regional differences were less consistent, and there were few differences by age.
Conclusion: A significant proportion of adolescents have food intakes that fall short of the recommendations outlined in the Australian Guide to Healthy Eating. This highlights the need for public health initiatives to promote healthier food intake pattens among adolescents.
Resumo:
The general health message to the public about meat consumption is both confusing and misleading. It is stated that meat is not good for health because meat is rich in fat and cholesterol and high intakes are associated with increased blood cholesterol levels and coronary heart disease (CHD). This paper reviewed 54 studies from the literature in relation to red meat consumption and CHD risk factors. Substantial evidence from recent studies shows that lean red meat trimmed of visible fat does not raise total blood cholesterol and LDL-cholesterol levels. Dietary intake of total and saturated fat mainly comes from fast foods, snack foods, oils, spreads, other processed foods and the visible fat of meat, rather than lean meat. In fact, lean red meat is low in saturated fat, and if consumed in a diet low in SFA is associated with reductions in LDL-cholesterol in both healthy and hypercholesterolemia subjects. Lean red meat consumption has no effect on in vivo and ex vivo production of thromboxane and prostacyclin or the activity of haemostatic factors. Lean red meat is also a good source of protein, omega-3 fatty acids, vitamin B12, niacin, zinc and iron. In conclusion, lean red meat, trimmed of visible fat, which is consumed in a diet low in saturated fat does not increase cardiovascular risk factors (plasma cholesterol levels or thrombotic risk factors).
Resumo:
Background : There is evidence of a clustering of healthy dietary patterns and physical activity among young people and also of unhealthy behaviours. The identification of influences on children's health behaviors, particularly clustered health behaviors, at the time at which they develop is imperative for the design of interventions. This study examines associations between parental modelling and support and children's physical activity (PA) and consumption of fruit and vegetables (FV), and combinations of these behaviours.
Methods : In 2002/3 parents of 775 Australian children aged 10–12 years reported how frequently their child ate a variety of fruits and vegetables in the last week. Children wore accelerometers for eight days during waking hours. Parental modelling and parental support (financial and transport) were self-reported. Binary logistic and multinomial logistic regression analyses examined the likelihood of achieving ≥ 2 hours of PA per day (high PA) and of consuming ≥ 5 portions of FV per day (high FV) and combinations of these behaviors (e.g. high PA/low FV), according to parental modelling and support.
Results : Items of parental modelling and support were differentially associated with child behaviours. For example, girls whose parents reported high PA modelling had higher odds of consuming ≥ 5 portions of FV/day (OR = 1.95, 95% CI = 1.32–2.87, p < 0.001). Boys whose parents reported high financial support for snacks/fast foods had higher odds of having 'high PA/low FV' (OR = 2.0, 95% CI = 1.1–3.7).
Conclusion : Parental modelling of and support for physical activity and fruit and vegetable consumption were differentially associated with these behaviours in children across behavioural domains and with combinations of these behaviours. Promoting parents' own healthy eating and physical activity behaviours as well encouraging parental modelling and support of these behaviours in their children may be important strategies to test in future research.
Resumo:
Adolescents of low socio-economic position (SEP) are less likely than those of higher SEP to consume diets in line with current dietary recommendations. The reasons for these SEP variations remain poorly understood. We investigated the mechanisms underlying socio-economic variations in adolescents’ eating behaviours using a theoretically derived explanatory model. Data were obtained from a community-based sample of 2529 adolescents aged 12–15 years, from 37 secondary schools in Victoria, Australia. Adolescents completed a web-based survey assessing their eating behaviours, self-efficacy for healthy eating, perceived importance of nutrition and health, social modelling and support and the availability of foods in the home. Parents provided details of maternal education level, which was used as an indicator of SEP. All social cognitive constructs assessed mediated socio-economic variations in at least one indicator of adolescents’ diet. Cognitive factors were the strongest mediator of socio-economic variations in fruit intakes, while for energy-dense snack foods and fast foods, availability of energy-dense snacks at home tended to be strong mediators. Social cognitive theory provides a useful framework for understanding socio-economic variations in adolescent's diet and might guide public health programmes and policies focusing on improving adolescent nutrition among those experiencing socio-economic disadvantage.
Resumo:
Background/Objectives: Living in socioeconomically disadvantaged neighbourhoods is associated with increased risk of a poor diet; however, the mechanisms underlying associations are not well understood. This study investigated whether selected healthy and unhealthy dietary behaviours are patterned by neighbourhood-socioeconomic disadvantage, and if so, whether features of the neighbourhood–nutrition environment explain these associations.
Subjects/Methods: A survey was completed by 1399 women from 45 neighbourhoods of varying levels of socioeconomic disadvantage in Melbourne, Australia. Survey data on fruit, vegetable and fast-food consumption were linked with data on food store locations (supermarket, greengrocer and fast-food store density and proximity) and within-store factors (in-store data on price and availability for supermarkets and greengrocers) obtained through objective audits. Multilevel regression analyses were used to examine associations of neighbourhood disadvantage with fruit, vegetable and fast-food consumption, and to test whether nutrition environment factors mediated these associations.
Results: After controlling for individual-level demographic and socioeconomic factors, neighbourhood disadvantage was associated with less vegetable consumption and more fast-food consumption, but not with fruit consumption. Some nutrition environmental factors were associated with both neighbourhood disadvantage and with diet. Nutrition environmental features did not mediate neighbourhood-disadvantage variations in vegetable or fast-food consumption.
Conclusions: Although we found poorer diets among women living in disadvantaged neighbourhoods in Melbourne, the differences were not attributable to less supportive nutrition environments in these neighbourhoods.
Resumo:
Objective:
This cross-sectional study aimed to identify sociodemographic and behavioural characteristics of ‘overweight-resilient’ women, that is, women who were in a healthy body weight range, despite living in socioeconomically disadvantaged neighbourhoods that place them at increased risk of obesity. The study also aimed to test a comprehensive theoretically derived model of the associations between intrapersonal, social and environmental factors and obesity among this target group.
Participants:
A total of 3235 women aged 18–45 years from 80 urban and rural neighbourhoods throughout Victoria, Australia, participated in the Resilience for Eating and Activity Despite Inequality study.
Measurements:
Women reported height, weight, sociodemographic characteristics, leisure-time physical activity, dietary behaviours and a range of theoretically derived cognitive, social and neighbourhood environmental characteristics hypothesized to influence obesity risk. A theoretical model predicting body mass index (BMI) was tested using structural equation models.
Results:
Women classified as ‘resilient’ to obesity tended to be younger, born overseas, more highly educated, unmarried and to have higher or undisclosed household incomes. They engaged in more leisure-time physical activity and consumed less fast foods and soft drinks than overweight/obese women. Neighbourhood characteristics, social characteristics and cognitive characteristics all contributed to explaining variation in BMI in the hypothesized directions.
Conclusions:
These results demonstrate several characteristics of women appearing ‘resilient’ to obesity, despite their increased risk conferred by residing in socioeconomically disadvantaged neighbourhoods. Acknowledging the cross-sectional study design, the results advance theoretical frameworks aimed at investigating obesity risk by providing evidence in support of a comprehensive model of direct and indirect effects on obesity of neighbourhood, as well as social, cognitive and behavioural characteristics.