Takeaway food consumption and its associations with diet quality and abdominal obesity: a cross-sectional study of young adults
© Smith et al; licensee BioMed Central Ltd. 2009
Received: 15 October 2008
Accepted: 28 May 2009
Published: 28 May 2009
Few studies have investigated the associations of takeaway food consumption with overall diet quality and abdominal obesity. Young adults are high consumers of takeaway food so we aimed to examine these associations in a national study of young Australian adults.
A national sample of 1,277 men and 1,585 women aged 26–36 completed a self-administered questionnaire on demographic and lifestyle factors, a 127 item food frequency questionnaire, usual daily frequency of fruit and vegetable consumption and usual weekly frequency of takeaway food consumption. Dietary intake was compared with the dietary recommendations from the Australian Guide to Healthy Eating. Waist circumference was measured for 1,065 men and 1,129 women. Moderate abdominal obesity was defined as ≥ 94 cm for men and ≥ 80 cm for women. Prevalence ratios (PR) were calculated using log binomial regression. Takeaway food consumption was dichotomised, with once a week or less as the reference group.
Consumption of takeaway food twice a week or more was reported by more men (37.9%) than women (17.7%, P < 0.001). Compared with those eating takeaway once a week or less, men eating takeaway twice a week or more were significantly more likely to be single, younger, current smokers and spend more time watching TV and sitting, whereas women were more likely to be in the workforce and spend more time watching TV and sitting. Participants eating takeaway food at least twice a week were less likely (P < 0.05) to meet the dietary recommendation for vegetables, fruit, dairy, extra foods, breads and cereals (men only), lean meat and alternatives (women only) and overall met significantly fewer dietary recommendations (P < 0.001). After adjusting for confounding variables (age, leisure time physical activity, TV viewing and employment status), consuming takeaway food twice a week or more was associated with a 31% higher prevalence of moderate abdominal obesity in men (PR: 1.31; 95% CI: 1.07, 1.61) and a 25% higher prevalence in women (PR: 1.25; 95% CI: 1.04, 1.50).
Eating takeaway food twice a week or more was associated with poorer diet quality and a higher prevalence of moderate abdominal obesity in young men and women.
Consuming takeaway or fast food is becoming more prevalent in Australia  and around the world [2, 3]. Although there are no standard definitions, fast food is the term used in North America and typically includes food that can be obtained quickly such as burgers, fries, pizza and fried chicken. Takeaway is the common term used in Australia and includes fast food and other "take out" meal options such as Thai and Indian food. The majority of previous studies were conducted in the USA and focused on fast food. Although it is known that takeaway and fast food consumption is higher in younger age groups than older age groups [4–9] and consumption of fast food has been shown to increase from adolescence to young adulthood , there is little research focusing on the correlates of takeaway food consumption in young adults. Furthermore, the socio-economic and lifestyle characteristics of individuals eating takeaway food have not previously been reported separately for men and women [4, 6–9]. It is important to see if the characteristics associated with high takeaway food consumption differ between men and women and to identify groups that consume high levels of takeaway food.
A high frequency of takeaway and fast food consumption has been linked to poorer diet quality including a lower intake of vegetables [5, 7, 8, 11], wholegrains , low fat dairy  and fruit [7, 9, 11], a higher intake of total fat and saturated fat [8, 11], sodium  and non-diet carbonated soft drinks . Although these studies have shown an association between takeaway and fast food frequency and individual foods, food groups or nutrients, only one previous study from Spain in 1999 measured overall diet quality . However, in this study, the fast food variable included only four items (hamburgers, cheeseburgers, Big Macs and French fries ) and excluded other common forms of takeaway food such as pizza, fried chicken, Indian, Chinese and Thai food.
In addition to poorer diet quality, an association between takeaway and fast food consumption and body weight has been reported. The Coronary Artery Risk Development in Young Adults (CARDIA) study in the USA found participants who ate fast food more than twice a week at baseline in 1985 and at the 15 year follow-up had gained an extra 4.5 kg compared with participants who ate fast food less than once a week at both time points . In Spain, participants eating fast food more than once per week had an increased likelihood of being obese (OR 1.29; P = 0.057) compared with non-consumers . In an Australian study in 1996, women eating takeaway once per week were 15% less likely to maintain their weight over a four year period compared with women who ate takeaway never or no more than once per month .
Most studies examining associations of fast food or takeaway food consumption and obesity have used body mass index (BMI) as a measure of obesity. Waist circumference is thought to be a better indicator of cardiovascular disease and type 2 diabetes risk than BMI [13, 14] as fat distributed around the waist is more harmful than overall obesity. In addition, young adults with high muscle mass might be misclassified as being overweight when using BMI, though the proportion misclassified is not known. One previous study investigating Australian adults living in rural areas during 2001–2003 found no association between high takeaway food consumption and abdominal obesity  when using waist circumference as a continuous variable. The authors did not report their findings using recommended cut points for waist circumference to define obesity .
The aims of this cross-sectional study of young adults were to examine the socio-economic and lifestyle factors associated with takeaway food consumption in men and women; and to examine associations of takeaway food consumption with diet quality and abdominal obesity.
The Childhood Determinants of Adult Health (CDAH) Study is a follow-up of children who participated in the 1985 Australian Schools Health and Fitness Survey (ASHFS), a nationally representative study of 8,498 children aged 7–15 years .
During 2001–2002 participants were traced through electoral rolls, telephone directories, the National Death Index and contact with class mates. Of the 6,840 (80%) participants successfully traced, 5,170 (61%) were enrolled in the CDAH study and invited to complete questionnaires and attend one of 34 study clinics around Australia for physical measurements. The clinics were held in each state and territory of Australia during 2004–2006, when the participants were aged 26–36 years. Clinics involved a range of physical assessments including anthropometric measurements. In total, questionnaires were completed by 2,881 participants, and 2,410 attended study clinics. The number of participants attending clinics was lower than those enrolled in the CDAH study largely due to the burden of attending the clinic (approximately three hours of testing) and the distance needed to travel.
The study was approved by the Southern Tasmania Health and Medical Research Ethics Committee and all participants gave informed consent.
Food intakes and habits were measured using a 127 item food frequency questionnaire (FFQ) and a food habits questionnaire (FHQ). The FFQ asked for the average number of times each food and beverage was consumed over the previous twelve months. For each item participants were asked to choose one of nine response options ranging from "never or less than once a month" to "six or more times per day". Daily equivalents were calculated for each FFQ item, assuming one serve was consumed at each eating occasion [18, 19]. The mid value was used when the response option included a range of values and missing items were given a value of zero. The FFQ was a modified version of one previously used in the 1995 National Nutrition Survey [19–22] and was based on an existing FFQ developed for Australian populations .
The FHQ included questions on takeaway food consumption, daily fruit and vegetable consumption, and frequency of trimming fat from meat. The takeaway food question asked "How many times per week would you usually eat hot takeaway meals (e.g. pizza, burgers, fried or roast chicken, Chinese/Indian/Thai takeaway)". Participants could choose one of five answers ranging from "I don't eat takeaway" to "6–7 meals per week". For analysis, the answers were dichotomised to less than twice per week or twice a week or more as there were small numbers in the lowest and the two higher frequency groups. To assess its validity, responses to the takeaway food question were compared with reported consumption of foods in the FFQ that are commonly eaten as takeaway foods (fried fish, meat pie/sausage roll/other savoury pasties, pizza, hamburger, hot chips/roast potato/potato wedges).
Daily fruit and vegetable consumption came from the two short questions: "how many serves of fruit/vegetables (excluding potatoes) do you usually eat each day". Examples of serving sizes were given and the response options were "I don't eat this food", "1 serve or less", "2–3 serves", "4–5 serves" or "6 or more serves". These short questions have been used in previous studies [19, 24] and have been shown to be valid measures for fruit and vegetable intake .
Questions from the FHQ and FFQ were used to determine if participants were complying with sex and age-specific recommendations in the Australian Guide to Healthy Eating (AGHE) . The AGHE has been developed to encourage the public to adopt healthy eating patterns by highlighting the foods that help meet nutrient recommendations and provides two recommended patterns of eating. The recommended eating pattern used in this analysis is the most commonly used and is consistent with public health messages that promote consumption of five servings of vegetables and two servings of fruit per day . This eating pattern is also the more conservative of the two for vegetables, fruits and dairy for men. The AGHE recommends adults consume the following number of serves from the five food groups each day: two servings of fruit, five servings of vegetables, two servings of dairy, one serving of lean meat or alternatives and six to twelve servings of breads and cereals for men and four to nine servings of breads and cereals for women.
Foods that do not fit into the five food groups are "extra" foods and are high in fat, salt and sugars and provide very few essential nutrients . The AGHE recommends that these foods be eaten in small amounts. Examples of extra foods include ice cream, cream, cakes, sweet pies, desserts, sweet biscuits, chocolate biscuits, savoury pastry, pizza, hamburgers, hot chips, fried fish, chocolate, other confectionary, crisps, dressings, mayonnaise, jam, creamy dips, fruit drink, cordial, soft drink and all alcohol. The guidelines recommend limiting the number of "extra" foods to no more than three servings per day for men and no more than two and a half servings per day for women. For analysis the extra foods variable was created excluding the takeaway food items (hamburgers, pizza, hot chips, fried fish and savoury pastry), so that takeaway food items could be distinguished separately.
For comparison with the AGHE, information on daily servings of fruit and vegetables came from the short questions in the FHQ. Daily serves of breads and cereals, dairy, lean meat and alternatives and extra foods were obtained from summing daily equivalents calculated from the FFQ (see Appendix 1 for items included in each food group). For breads and cereals, the lowest recommended value was used, and for extra foods participants not exceeding the upper limit were classified as meeting the recommendation. In line with the Dietary Guidelines for Australian Adults  high fat meats were not included in the meat and alternatives food group. However, some meat items that would be considered lean if the visible fat was removed were included as lean meats (see Appendix 1) if participants reported in the FHQ that they "usually" trimmed the fat from their meat either before or after cooking. The analysis of fruit and vegetable intake was also repeated using items from the FFQ.
For the anthropometric measurements, participants were standing and dressed in light clothing without shoes. All measurements were made by trained staff. Waist circumference was measured in triplicate over light clothing at the narrowest point between the lower costal border and the iliac crest, at the end of normal expiration. Measurements were taken using a Lufkin steel (non-stretch) tape measure and were recorded to the nearest 0.5 cm. Moderate abdominal obesity was defined as ≥ 94 cm for men and ≥ 80 cm for women. These cut points were defined by the World Health Organization and are associated with an increased risk of metabolic complications associated with abdominal obesity .
Body weight was measured using a Heine portable scale (Heine, Dover, NH, USA) and recorded to the nearest 0.1 kg. Height was measured using a portable Leicester stadiometer (Invicta, Leicester, UK) and recorded to the nearest 0.1 cm. BMI (kg/m2) was calculated from height and weight.
Demographic variables included age, sex, education (classified as school only, vocational, university), employment status (working versus not in the workforce) and marital status (married or living as married versus other). Smoking was classified based on self report as never, former or current smoker.
The long version of the International Physical Activity Questionnaire (IPAQ)  was used to assess frequency, duration and intensity of physical activity. Participants were asked to report the number of days in the previous week they had done each activity for more than 10 minutes at a time, and how long they would usually spend doing each activity. The leisure time physical activity (LTPA) domain was used in the analysis. Weekday and weekend sedentary behaviour over the previous week was also estimated using the IPAQ. Participants reported the average amount of time they had spent sitting on weekdays and weekend days during the previous week. This question has been shown to have acceptable reproducibility (one week test-retest reliability intraclass correlation range of 0.74–0.89) and comparative validity (rank correlation with one week accelerometer counts range of 0.20 – 0.51) . In addition, participants' reported total time spent watching television, videos or DVDs when it was the main activity they were doing. This question has also been shown to have acceptable reproducibility (one week test-retest intraclass correlation coefficient 0.82) and comparative validity (rank correlation with three day sedentary behaviour log 0.3) .
The frequency of consumption of nine alcoholic beverages from the FFQ and their average alcohol concentration  was used to estimate the number of standard drinks (10 gram of alcohol) consumed per week. Responses of never or less than once per month were given a value of zero. Participants were classified as non-drinkers, drinkers who consume up to 14 drinks per week, or drinkers who consume more than 14 drinks per week. These groups are based on Australian alcohol guidelines for low-risk drinking .
Prevalence ratios estimated using log binomial regression or Poisson regression with robust standard errors  were used to summarise the associations of socio-economic and lifestyle variables, and moderate abdominal obesity with takeaway food consumption. Analyses were conducted separately for men and women. Covariates included in the adjusted analyses of obesity and takeaway food consumption were those that plausibly were causally related to the outcome or were markers of other factors causally related to the outcome, were not intermediate on the postulated pathway, and produced at least a 10% change in the parameter estimate for the study factor. They included age, LTPA, television viewing (log transformed) and employment status. Continuous variables were entered into the model as continuous covariates. Additional adjustments for marital status, education, smoking status, alcohol intake and other measures of physical activity did not materially alter the results. Interactions between takeaway food consumption and other covariates were assessed by including product terms as additional covariates.
Chi square analysis was used to examine the association between takeaway food consumption and meeting the dietary recommendations in the AGHE .
All statistical analyses were conducted with STATA software (version 9.2, 2007, Statacorp, College Station, Texas).
In total, 2,881 participants answered the dietary questionnaires. Nineteen participants did not answer the takeaway food question and were excluded from all analyses. The remaining 2,862 participants were included in the analysis of socio-demographic and lifestyle factors associated with takeaway food consumption. The dietary recommendation analysis excluded 78 women who were pregnant at the time of data collection because different dietary recommendations exist for pregnant women. A further 99 participants were excluded from the dietary recommendation analysis because they failed to provide responses to 10% or more of the FFQ items (n = 2,685 for analysis). The abdominal obesity analysis was restricted to clinic attendees who had anthropometric measurements and excluded pregnant women (n = 2,194 for analysis).
Socio-demographic and anthropometric characteristics of participants
Men (n = 1277)*
Women (n = 1585)*
Age (mean, SD)
Married/living as married
Not in workforce
Normal (< 25 kg/m2)
Overweight (25 – 29.9 kg/m2)
Obese (≥ 30 kg/m2)
Waist circumference (cm)†
Moderate abdominal obesity‡
While the study sample was derived from a nationally representative sample of children first measured in 1985, only one third participated in the follow-up in adulthood. Compared with the general Australian population of similar age (25–34 years) this study sample had a higher proportion of participants who were married or living as married (57% of men and 64% of women in the general population ), and a higher proportion of professionals/managers (40% of men and 38% of women in the general population ). The proportion of participants who were classified as overweight or obese (BMI ≥ 25 kg/m2) was similar to the general population (58% of men and 35% of women ).
Takeaway food consumption
Our validation analysis showed takeaway food consumption from the short question in the FHQ was consistent with reported consumption of foods that are commonly eaten as takeaway food in the FFQ. Intake of the takeaway type foods was higher in participants who reported in the short question that they ate takeaway twice a week or more (52.8%, 404/765) than in participants who reported eating takeaway once a week or less (17.8%, 373/2097).
Takeaway food consumption and socio-economic and lifestyle variables
Men who consumed takeaway at least twice a week were more likely to be single, younger, current smokers, to spend more time watching TV and to spend more time sitting (Additional File 1). Women who consumed takeaway at least twice a week were more likely to be single, in the workforce, and to spend more time watching TV and sitting.
Achieving the dietary recommendations
The proportions of data that were missing were less than 10% in all food groups apart from lean meat and alternatives (37%). The proportions of missing data in each food group were not significantly different by takeaway food consumption, with the exception of lean meat; those consuming takeaway twice a week or more had more missing data (P = 0.043 for men, P = 0.033 for women).
Percentage of men and women achieving dietary recommendations for Australian adults by takeaway food consumption
Consuming takeaway < 2/week
Consuming takeaway ≥ 2/week
Breads and cereals
Lean meats and alternatives
Extra foods (excluding takeaway)
Breads and cereals
Lean meats and alternatives
Extra foods (excluding takeaway)
Number of recommendations men and women were achieving by takeaway food consumption
Number of recommendations* achieved
Consuming takeaway < 2/week
Consuming takeaway ≥ 2/week
n = 772
n = 460
P < 0.001
n = 1183
n = 263
P < 0.001
When we repeated the fruit and vegetable analysis using daily intakes calculated from the FFQ, the intake of vegetables (men and women) and fruit (men only) was higher than with the short questions. This meant that a higher number of participants were classified as meeting these recommendations. However, the proportion meeting the recommendations remained significantly lower in participants who ate takeaway more frequently. This is consistent with the results using the short questions from the FHQ.
Milk in hot beverages was not included in the main analysis of the dairy food group because doing so could overestimate dairy intake for people who only add a small amount of milk to their hot drink. When we included milk consumed in hot beverages, we found a greater proportion of participants met the recommendations for dairy intake. For men, the difference between the takeaway food groups was no longer significant (71.0% consuming takeaway foods once a week or less versus 73.5% consuming takeaway food twice a week or more, P = 0.337), whereas, for women, those eating takeaway once a week or less remained more likely to meet the guidelines compared with those eating takeaway twice a week or more (78.4% versus 68.4%, respectively, P = 0.001).
Factors associated with moderate abdominal obesity
Men with moderate abdominal obesity were more likely to be married (P < 0.005), older (P = 0.005) and watch more TV (P = 0.001). There was a non-linear trend for education where men with higher education were more likely to have moderate abdominal obesity (P < 0.001). Women with moderate abdominal obesity tended to be older (P = 0.024), less educated (P < 0.001), not in the workforce (P < 0.001), current smokers (P = 0.018), non-drinkers (P = 0.001), spend more time watching TV (P < 0.001), less physically active (P = 0.007), and to have more children (P = 0.002).
Takeaway food consumption and moderate abdominal obesity
Prevalence ratios of overweight and obesity for frequency of takeaway food consumption
Frequency of takeaway food consumption
WC ≥ 94 cm
BMI ≥ 25 kg/m2
BMI ≥ 30 kg/m2
WC ≥ 80 cm
BMI ≥ 25 kg/m2
BMI ≥ 30 kg/m2
The adjustments for LTPA, TV viewing and employment status (men) reduced the coefficient of takeaway food consumption in the regression of waist circumference because those factors were negatively (LTPA) or positively (TV viewing, employment status of men) correlated with waist circumference. Adjusting for age and employment status (women) increased the coefficient of takeaway food consumption because those factors were negatively (employment status of women) or positively (age) correlated with waist circumference. In multivariable analysis, these four factors were significant predictors of consuming takeaway food at least twice a week.
Using BMI in place of waist circumference as the outcome variable, an association with takeaway food consumption was only found for men classified as being obese though this association was not statistically significant. In contrast, women eating takeaway food twice a week or more had a significantly higher prevalence of overweight and obesity.
We have shown takeaway food consumption is associated with a poorer diet quality and a higher prevalence of moderate abdominal obesity in young Australian adults. Different socio-economic and lifestyle factors are associated with a higher frequency of takeaway food consumption in men and women.
Differences in the methods used to ascertain takeaway and fast food consumption and the definition of takeaway or fast food used make it difficult to compare findings across studies. The frequency of takeaway food consumption in the current study was higher than that reported in a Mediterranean population (aged 24–75 years) where only 1.1% were consuming fast food at least twice per week but only hamburgers, cheese burgers, Big Macs and French fries were included as fast food . A study in the USA reported 30% of men and 24% of women (aged 20 years and older) had consumed fast food on at least one of the two days studied using 24-hour diet recalls .
The socio-economic and lifestyle characteristics we found to be associated with higher frequency of takeaway food consumption were similar to those found in previous studies: younger age [5, 8], being single [7, 9] and watching more television . However, to our knowledge this is the first study to report characteristics of takeaway food consumption separately for men and women. Being single and spending more time watching TV and sitting were associated with takeaway food consumption in both sexes. In men, being younger and a current smoker were also associated with takeaway consumption whereas in women, there was an association with employment status.
We found men consumed takeaway more frequently than women, which is consistent with some studies [6, 37], but not others [8, 9]. In contrast to a previous study  we found no significant association between takeaway food consumption and alcohol consumption in men or women.
Studies of socio-economic position and diet quality report that people of lower socio-economic status consume diets that are higher in energy dense foods such as takeaway foods . However, our measures of socio-economic status (employment status and education) in this sample of young Australian adults do not support this. Participants who were not in the workforce were not high consumers of takeaway food, possibly because they could not afford to purchase it, and education had no association with takeaway food consumption. Previous studies investigating associations between income and takeaway food consumption have reported mixed results with some studies reporting participants with a high income to be the highest consumers [6, 11], some showing participants with a low income to be the highest consumers , and yet others showing no association . Education also shows mixed results with the majority of studies being consistent with our finding of no association [6, 8, 15], but others have reported positive associations with high education  or low education .
The number of participants achieving individual dietary recommendations was very low and lowest in participants who were eating takeaway food more frequently. This suggests takeaway food is not just an additional food item in an otherwise healthy diet but is associated with a number of other unhealthy eating behaviours, possibly by displacing healthier items from the diet. Our findings are similar to previous studies from the USA and Spain that report a higher frequency of takeaway or fast food consumption is associated with a lower intake of fruit, vegetables and dairy [5, 7–9]. A higher frequency of takeaway food consumption was associated with a lower intake of breads and cereals in men and a lower intake of lean meats and alternatives in women. Overall participants eating takeaway food more frequently met fewer of the dietary recommendations. This supports the previous study in Spain that examined overall diet quality, where participants eating fast food at least twice per week had the lowest adherence to the Healthy Eating Index and the Mediterranean Diet Score .
This is the first study to show that young adults eating takeaway more frequently have a somewhat higher prevalence of moderate abdominal obesity as measured by waist circumference. Women eating takeaway food twice a week or more had a higher prevalence of being overweight or obese as defined by a BMI ≥ 25 kg/m2 and this association remained significant after adjusting for covariates. However, in men, an association was only seen at the higher level of BMI (≥ 30 kg/m2) and the association was not significant. While we were unable to adjust for energy intake, because this was not available from the FFQ, we did take into account key determinants of energy intake by stratifying the analysis by sex and adjusting for age and physical activity levels. Due to the cross-sectional analysis, we cannot be certain of the direction of a causal relationship between takeaway food consumption and abdominal obesity. Although our study sample comes from a cohort study, longitudinal analysis is not possible because comparable dietary data were not collected in childhood. Previous studies have found an association between takeaway and fast food consumption and BMI  and changes in weight over time [5, 7, 12, 39].
There are several limitations with the dietary recommendation analysis. First, the response option for the vegetable question combined four and five serves per day, and the proportion meeting the vegetable recommendation (at least five daily serves) is likely to be lower than that reported here. In addition, compliance with the lean meat and alternatives recommendation may be overestimated due to the large number of items included in this variable. However, previous national data show consumption of meat and alternatives is high in Australian adults . Second, although we excluded from the analysis participants who had not adequately completed the questionnaire (those that failed to complete > 90% of the FFQ), we were left with occasional non-responses to items by the remaining respondents. These were assigned a value of zero on the grounds that a non-response indicated the respondent did not eat that food. However, some of these missing items may have been overlooked by the respondent. If so, this would have resulted in under-estimation of the proportions of respondents meeting the dietary recommendations. It is reassuring that this measurement error did not appear to be differential between the two takeaway food groups, with the exception of the lean meat and alternatives food group. Third, the guidelines recommend consuming wholegrain breads and cereals; apart from bread, the FFQ did not distinguish between wholegrain and non-wholegrain items. Fourth, components of mixed dishes were not included as items in the food groups and may be under-estimated. Mixed dishes are generally difficult to assess using FFQs .
A strength of this study was that we asked about usual takeaway food consumption and, in addition to food available from the main fast food chains (McDonalds, Pizza Hut, KFC etc), our takeaway food variable included other popular takeaway food options such as Indian, Thai and Chinese foods. Furthermore, this is the first study to report associations of takeaway food consumption with lifestyle factors separately for men and women. We did this because we were interested in examining potential sex differences in takeaway food consumption to better understand the predictors of this eating behaviour. Other strengths include the use of a FFQ that has been used in previous national surveys, and examining overall diet quality, which has been done in only one previous study.
In this large nationwide study of young Australian adults we found participants consuming takeaway food at least twice per week met fewer of the dietary recommendations and had a modestly higher prevalence of moderate abdominal obesity compared with participants consuming takeaway once a week or less. Initiatives to reduce takeaway food consumption or to promote healthier takeaway food options have the potential to improve diet quality and prevent obesity.
Appendix 1 – Items from food frequency questionnaire that were included in daily equivalents
Breads and cereals
White bread, toast or rolls
Wholemeal/mixed grain bread, toast or rolls
English muffin, bagel or crumpet
Flat bread (e.g. pita, chapatti)
Dry or savoury biscuits, crispbread, crackers
Rice (white or brown)
Pasta (including filled), noodles
Flavoured milk drink (e.g. milkshake, iced coffee, hot chocolate)
Milk as a drink
Milk added to breakfast cereal
Yoghurt, plain or flavoured (including fromage frais)
Cheddar and other cheeses
Lean meat, fish, eggs
* Mince dishes (e.g. rissoles, meatloaf)
* Mixed dishes with beef, veal, lamb, pork (e.g. casserole, stir fry)
* Beef, veal – roast, chop or steak
* Lamb – roast, chop
* Pork – roast, chop
* Mixed dishes with chicken, duck, turkey (e.g. casserole, stir-fry)
* Chicken, turkey, duck – roast, steamed or barbequed
Canned fish (e.g. tuna, salmon, sardines)
Fresh fish – steamed, baked, grilled
Frozen fish – steamed, baked, grilled
Almonds, walnuts, hazelnuts
Seeds – pumpkin, sesame, pine nuts, tahini
Other nuts, seeds
Other beans, lentils
* These items were only included as lean meat if participant indicated in the food habits questionnaire that fat was usually trimmed from their meat either before or after cooking.
Extra foods – excluding takeaway
Cream or sour cream
Cakes, sweet muffins, scones or pikelets
Sweet pies or sweet pastries
Other pudding or desserts
Plain, sweet biscuits
Cream, chocolate biscuits
Chocolate (including chocolate bars e.g. Mars bar™)
Potato chips, corn chips, Twisties™ etc
Oil and vinegar dressing
Mayonnaise or other creamy dressings
Jam, marmalade, syrup or honey
Creamy dips and spreads
Fruit juice drink or fruit cordial
Soft drinks (including flavoured mineral water)
Medium strength beer
Full strength beer
White wine or champagne/sparkling wine
Spirit-based mixed drinks (e.g. Lemon Ruski™)
Other alcoholic drinks (e.g. cider)
Fruit and vegetables
Note: Daily equivalents of fruits and vegetables were obtained from short questions in the food habits questionnaire.
Green/mixed salad (including lettuce, tomato etc) in a sandwich
Green/mixed salad (including lettuce, tomato etc) as a side-salad with a main meal
Stir-fried or mixed vegetables
Peas (including snow peas)
Brussel sprouts, cabbage, coleslaw
Sweetcorn, corn on the cob
Zucchini, eggplant, squash
Tomatoes (except when in a 'mixed salad')
Lettuce (except when in a 'mixed salad')
Celery (except when in a 'mixed salad')
Onion or leek
Soy beans, tofu
Other beans, lentils
Fruits – dried frozen, canned
Fresh fruit salad
Apple or pear
Orange, mandarin, grapefruit
Peach, nectarine, plum or apricot
Mango or paw paw
Grapes or berries
Melon (watermelon, rockmelon or honeydew melon)
Other fruit not listed
food frequency questionnaire
food habits questionnaire
international physical activity questionnaire
leisure time physical activity
This study was funded by grants from the National Health and Medical Research Council, the National Heart Foundation, the Tasmanian Community Fund, and Veolia Environmental Services. We gratefully acknowledge the aid of sponsors of the Childhood Determinants of Adult Health study (Sanitarium, ASICS, and Target), and the contributions of the study's project manager Ms Marita Dalton, all other project staff, and the study participants. Sarah A McNaughton and Seana Gall are supported by National Health & Medical Research Council (NHMRC) Public Health Postdoctoral Fellowships. The funding bodies had no role in the analysis or preparation of the manuscript.
- Australian Bureau of Statistics: Cafes, restaurants and catering services, Australia 2006–07. Canberra. 2008Google Scholar
- Nielsen SJ, Siega-Riz AM, Popkin BM: Trends in Food Locations and Sources among Adolescents and Young Adults. Preventive Medicine. 2002, 35: 107-113. 10.1006/pmed.2002.1037.View ArticleGoogle Scholar
- Nielsen SJ, Siega-Riz AM, Popkin BM: Trends in Energy Intake in US between 1977 and 1996: Similar Shifts Seen across Age Groups. 2002, 10: 370-378.Google Scholar
- Bowman SA, Vinyard BT: Fast food consumption of U.S. adults: impact on energy and nutrient intakes and overweight status. J Am Coll Nutr. 2004, 23: 163-168.View ArticleGoogle Scholar
- French SA, Harnack L, Jeffery RW: Fast food restaurant use among women in the Pound of Prevention study: dietary, behavioral and demographic correlates. Int J Obes Relat Metab Disord. 2000, 24: 1353-1359. 10.1038/sj.ijo.0801429.View ArticleGoogle Scholar
- Mohr P, Wilson C, Dunn K, Brindal E, Wittert G: Personal and lifestyle characteristics predictive of the consumption of fast foods in Australia. Public Health Nutrition. 2007, 10: 1456-1463. 10.1017/S1368980007000109.View ArticleGoogle Scholar
- Pereira MA, Kartashov AI, Ebbeling CB, Van Horn L, Slattery ML, Jacobs DR, Ludwig DS: Fast-food habits, weight gain, and insulin resistance (the CARDIA study): 15-year prospective analysis. Lancet. 2005, 365: 36-42. 10.1016/S0140-6736(04)17663-0.View ArticleGoogle Scholar
- Satia JA, Galanko JA, Siega-Riz AM: Eating at fast-food restaurants is associated with dietary intake, demographic, psychosocial and behavioural factors among African Americans in North Carolina. Public Health Nutr. 2004, 7: 1089-1096. 10.1079/PHN2004662.View ArticleGoogle Scholar
- Schroder H, Fito M, Isabel Covas M: Association of fast food consumption with energy intake, diet quality, body mass index and the risk of obesity in a representative Mediterranean population. Br J Nutr. 2007, 98 (6): 1274-1280. 10.1017/S0007114507781436.View ArticleGoogle Scholar
- Niemeier HM, Raynor HA, Lloyd-Richardson EE, Rogers ML, Wing RR: Fast food consumption and breakfast skipping: predictors of weight gain from adolescence to adulthood in a nationally representative sample. J Adolesc Health. 2006, 39: 842-849. 10.1016/j.jadohealth.2006.07.001.View ArticleGoogle Scholar
- Paeratakul S, Ferdinand DP, Champagne CM, Ryan DH, Bray GA: Fast-food consumption among US adults and children: dietary and nutrient intake profile. J Am Diet Assoc. 2003, 103: 1332-1338. 10.1016/S0002-8223(03)01086-1.View ArticleGoogle Scholar
- Ball K, Brown W, Crawford D: Who does not gain weight? Prevalence and predictors of weight maintenance in young women. Int J Obes Relat Metab Disord. 2002, 26: 1570-1578. 10.1038/sj.ijo.0802150.View ArticleGoogle Scholar
- Canoy D, Boekholdt SM, Wareham N, Luben R, Welch A, Bingham S, Buchan I, Day N, Khaw KT: Body fat distribution and risk of coronary heart disease in men and women in the European Prospective Investigation Into Cancer and Nutrition in Norfolk cohort: a population-based prospective study. Circulation. 2007, 116: 2933-2943. 10.1161/CIRCULATIONAHA.106.673756.View ArticleGoogle Scholar
- Zhang C, Rexrode KM, van Dam RM, Li TY, Hu FB: Abdominal obesity and the risk of all-cause, cardiovascular, and cancer mortality: sixteen years of follow-up in US women. Circulation. 2008, 117: 1658-1667. 10.1161/CIRCULATIONAHA.107.739714.View ArticleGoogle Scholar
- Simmons D, McKenzie A, Eaton S, Cox N, Khan MA, Shaw J, Zimmet P: Choice and availability of takeaway and restaurant food is not related to the prevalence of adult obesity in rural communities in Australia. Int J Obes (Lond). 2005, 29: 703-710. 10.1038/sj.ijo.0802941.View ArticleGoogle Scholar
- World Health Organization: Obesity: preventing and managing the global epidemic. 1998, Geneva: World Health OrganizationGoogle Scholar
- Dwyer T, Gibbons LE: The Australian Schools Health and Fitness Survey. Physical fitness related to blood pressure but not lipoproteins. Circulation. 1994, 89: 1539-1544.View ArticleGoogle Scholar
- Ball K, Mishra GD, Thane CW, Hodge A: How well do Australian women comply with dietary guidelines?. Public Health Nutr. 2004, 7: 443-452.Google Scholar
- McNaughton SA, Ball K, Crawford D, Mishra GD: An index of diet and eating patterns is a valid measure of diet quality in an Australian population. J Nutr. 2008, 138: 86-93.Google Scholar
- Mishra G, Ball K, Arbuckle J, Crawford D: Dietary patterns of Australian adults and their association with socioeconomic status: results from the 1995 National Nutrition Survey. Eur J Clin Nutr. 2002, 56: 687-693. 10.1038/sj.ejcn.1601391.View ArticleGoogle Scholar
- Worsley A, Blasche R, Ball K, Crawford D: Income differences in food consumption in the 1995 Australian National Nutrition Survey. Eur J Clin Nutr. 2003, 57: 1198-1211. 10.1038/sj.ejcn.1601670.View ArticleGoogle Scholar
- Savige GS, Ball K, Worsley A, Crawford D: Food intake patterns among Australian adolescents. Asia Pac J Clin Nutr. 2007, 16: 738-747.Google Scholar
- Australian Bureau of Statistics: National Nutritional Survey Users' Guide 1995. Canberra. 1998Google Scholar
- Crawford D, Ball K, Mishra G, Salmon J, Timperio A: Which food-related behaviours are associated with healthier intakes of fruits and vegetables among women?. Public Health Nutr. 2007, 10: 256-265. 10.1017/S1368980007246798.View ArticleGoogle Scholar
- Coyne T, Ibiebele TI, McNaughton S, Rutishauser IH, O'Dea K, Hodge AM, McClintock C, Findlay MG, Lee A: Evaluation of brief dietary questions to estimate vegetable and fruit consumption – using serum carotenoids and red-cell folate. Public Health Nutr. 2005, 8: 298-308. 10.1079/PHN2004688.View ArticleGoogle Scholar
- Smith A, Kellet E, Schmerlaib Y: The Australian Guide to Healthy Eating. 1998, Canberra: Commonwealth Department of Health and Family SevicesGoogle Scholar
- Go for 2&5. [http://www.gofor2and5.com.au/]
- National Health and Medical Research Council: Dietary Guidelines for Australian Adults. Canberra. 2003Google Scholar
- Craig CL, Marshall AL, Sjostrom M, Bauman AE, Booth ML, Ainsworth BE, Pratt M, Ekelund U, Yngve A, Sallis JF, Oja P: International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003, 35: 1381-1395. 10.1249/01.MSS.0000078924.61453.FB.View ArticleGoogle Scholar
- Salmon J, Owen N, Crawford D, Bauman A, Sallis JF: Physical activity and sedentary behavior: a population-based study of barriers, enjoyment, and preference. Health Psychol. 2003, 22: 178-188. 10.1037/0278-622.214.171.124.View ArticleGoogle Scholar
- Standard Drink Guide. [http://www.alcohol.gov.au/internet/alcohol/publishing.nsf/Content/standard]
- National Health and Medical Research Council: Australian alcohol guidelines for low-risk drinking: Draft for public consultation. Australia. 1997Google Scholar
- Spiegelman D, Hertzmark E: Easy SAS Calculations for Risk or Prevalence Ratios and Differences. 2005, Oxford Univ Press, 162: 199-200.Google Scholar
- Australian Bureau of Statistics: Census of Population and Housing. Australia. 2001Google Scholar
- Australian Bureau of Statistics: Census of Population and Housing. Australia. 2006Google Scholar
- Australian Bureau of Statistics: National Health Survey: Summary of Results. Canberra. 2004Google Scholar
- Larson NI, Neumark-Sztainer DR, Story MT, Wall MM, Harnack LJ, Eisenberg ME: Fast food intake: longitudinal trends during the transition to young adulthood and correlates of intake. J Adolesc Health. 2008, 43: 79-86. 10.1016/j.jadohealth.2007.12.005.View ArticleGoogle Scholar
- Drewnowski A, Specter SE: Poverty and obesity: the role of energy density and energy costs. Am J Clin Nutr. 2004, 79: 6-16.Google Scholar
- Duffey KJ, Gordon-Larsen P, Jacobs DR, Williams OD, Popkin BM: Differential associations of fast food and restaurant food consumption with 3-y change in body mass index: the Coronary Artery Risk Development in Young Adults Study. Am J Clin Nutr. 2007, 85: 201-208.Google Scholar
- Australian Bureau of Statistics: National Nutrition Survey: Selected Highlights, Australia, 1995. Canberra. 1997Google Scholar
- Cade J, Thompson R, Burley V, Warm D: Development, validation and utilisation of food-frequency questionnaires – a review. Public Health Nutr. 2002, 5: 567-587. 10.1079/PHN2001318.View ArticleGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.