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The fruit and vegetable intake of young Australian adults: a population perspective

Published online by Cambridge University Press:  27 June 2017

Monica Nour*
Affiliation:
The University of Sydney, School of Life and Environmental Sciences, Level 4 EAST, Charles Perkins Centre D17, John Hopkins Drive, Sydney, NSW 2006, Australia
Zhixian Sui
Affiliation:
The University of Sydney, School of Life and Environmental Sciences, Level 4 EAST, Charles Perkins Centre D17, John Hopkins Drive, Sydney, NSW 2006, Australia
Amanda Grech
Affiliation:
The University of Sydney, School of Life and Environmental Sciences, Level 4 EAST, Charles Perkins Centre D17, John Hopkins Drive, Sydney, NSW 2006, Australia
Anna Rangan
Affiliation:
The University of Sydney, School of Life and Environmental Sciences, Level 4 EAST, Charles Perkins Centre D17, John Hopkins Drive, Sydney, NSW 2006, Australia
Kevin McGeechan
Affiliation:
The University of Sydney, School of Public Health, Sydney, NSW, Australia
Margaret Allman-Farinelli
Affiliation:
The University of Sydney, School of Life and Environmental Sciences, Level 4 EAST, Charles Perkins Centre D17, John Hopkins Drive, Sydney, NSW 2006, Australia
*
*Corresponding author: Email [email protected]
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Abstract

Objective

To examine intakes and variety of fruit and vegetables consumed by Australian young adults, also assessing differences by meal occasion and sociodemographic characteristics.

Design

Secondary analysis of cross-sectional 24 h recall data collected through the 2011–12 National Nutrition and Physical Activity Survey. Crude means and proportions consuming fruits and vegetables were calculated. Pearson χ2 tests, Kruskal–Wallis analyses and linear regression models were used to assess differences in mean intakes by age, BMI and sociodemographic variables. The variety eaten was determined based on the number of fruit and vegetable subgroups consumed.

Setting

Representative sample of metropolitan and rural areas across Australia.

Subjects

Respondents aged 18–34 years were included (n 2397).

Results

Mean daily intake of fruit (128 g/0·9 servings) and vegetables (205 g/2·7 servings) was lower than the minimum recommended intake set at 2 and 5 servings, respectively. Age was positively associated with fruit and vegetable intake (P=0·002, P<0·001), with 18–24-year-olds reporting the poorest vegetable variety compared with 25–29- and 30–34-year-olds (P=0·002). When controlling for total energy, males consumed less vegetables than females (P=0·002). A large proportion of the 15 % of respondents who consumed adequate amounts of fruits and vegetables on the day prior to the survey reported intake across all meal occasions (P<0·001).

Conclusions

Fruit and vegetable intake is suboptimal among Australian young adults. An age-appropriate campaign is recommended to target increased consumption, particularly for those aged 18–24 years, with opportunity to promote increased variety and consumption across the day.

Type
Research Papers
Copyright
Copyright © The Authors 2017 

Fruits and vegetables are nutrient-dense foods, rich in fibre, vitamins, minerals and phytochemicals while being relatively low in energy. This makes them important components of a healthy diet. Regular consumption of an adequate intake is associated with lower risks of obesity( Reference Ledoux, Hingle and Baranowski 1 ), cancers( Reference Boffetta, Couto and Wichmann 2 Reference Steinmetz and Potter 4 ), CVD( Reference Dauchet, Amouyel and Hercberg 5 Reference Wang, Ouyang and Liu 7 ), stroke( Reference Hu, Huang and Wang 8 ), hypertension( Reference Appel, Moore and Obarzanek 9 , Reference Miura, Greenland and Stamler 10 ) and all-cause mortality( Reference Bazzano, He and Ogden 11 ). Guidelines vary by country, although most are consistent with the WHO’s minimum recommendation of 400–500 g of fruits and vegetables daily (excluding potatoes and other starchy tubers) to reduce the risk of chronic disease( 12 14 ). In the UK, five daily portions of fruits and vegetables (combined weight of 400 g) are recommended for health. This does not include starchy vegetables such as potatoes( 14 ). In Australia, two servings of fruits (150 g/serving) and five servings of vegetables (75 g/serving) are the minimum recommended daily intake for adults and include non-fried potatoes( 15 ). As these recommendations are based on gender-specific energy and nutrient requirements, adult males are recommended six servings of vegetables daily (total weight of 450 g). Variety is also encouraged to maximise dietary diversity and the bioavailability of nutrients and other beneficial phytochemicals( 15 18 ).

Fruit and vegetable consumption levels are inadequate in many countries( Reference Rekhy and McConchie 19 Reference Casagrande, Wang and Anderson 23 ). Internationally, the intake among young adults is particularly low( Reference Serdula and Kettel-Khan 24 , 25 ). Researchers and practitioners have made efforts to encourage intake and most recently the Australian government led the population-wide Go For 2&5® campaign which resulted in a combined increase in consumption by 0·8 servings/d( Reference Pollard, Miller and Daly 26 ). Despite these efforts the latest statistics indicate that 19–30-year-old Australians are the poorest consumers of fruits and vegetables among adults( 27 ).

While formative research with young adults suggests that fruit and vegetable consumption is likely to increase during the transition to parenthood( Reference Dumbrell and Mathai 28 , Reference Hartmann, Dohle and Siegrist 29 ), if the pattern of suboptimal intake tracks into middle adulthood, it increases the risk of diet-related diseases among these adults and their offspring are likely to inherit these poor dietary patterns( Reference Lee and Park 30 ). Thus, innovative interventions and campaigns are needed to positively influence fruit and vegetable intake of future generations of adults. For maximum effect, interventions should be tailored to the target population( Reference Noar, Benac and Harris 31 ). This requires an in-depth understanding of the current patterns of intake and determinants of consumption.

The determinants of fruit and vegetable intake have been well documented in the literature, with gender, socio-economic status (SES), personal preferences, availability and accessibility, and parental intake influencing consumption( Reference Rasmussen, Krølner and Klepp 32 ). Australian-wide studies specifically evaluating fruit and vegetable intake according to demographic associations are limited and more than 10 years old( Reference Dobson, Porteous and McElduff 33 Reference Giskes, Turrell and Patterson 35 ), although there have been attempts to estimate intake at the state level such as the Western Australian report on intakes following the Go For 2&5 campaign( Reference Pollard, Miller and Daly 26 ). Prior to the most recent nutrition survey measuring food and dietary patterns (the 2011–12 National Nutrition and Physical Activity Survey (NNPAS)), the last national survey was conducted in 1995( 36 ). Preliminary results of the recent national survey show that fruit and vegetable intake remains inadequate( 27 ). However, this analysis does not account for all sources of fruits and vegetables in the diet. Detailed secondary analysis including mixed dishes where fruits and vegetables make a minor contribution might yield more complete results.

In 1995, Australians living in areas of lower SES with low incomes had the lowest fruit and vegetable intakes( Reference Giskes, Turrell and Patterson 35 ). Previous literature has also demonstrated that access to fresh fruits and vegetables varies with geographical location( Reference Dean and Sharkey 37 Reference Landrigan and Pollard 39 ). Other research has shown that increased vegetable intake can mediate weight loss in young adults( Reference Partridge, McGeechan and Bauman 40 ). To provide context for interventions, current relationships between intake, sociodemographic variables, and factors such as BMI should be examined.

Dietary guidelines based on epidemiological evidence recommend consumption of a variety of fruits and vegetables to maximise bioavailability of nutrients including phytochemicals and the unique health benefits they confer( 15 Reference Van Duyn and Pivonka 17 ). Thus, variety should be considered when planning interventions. Lastly, with recommendations set at five vegetable servings daily, it is unlikely that an individual will meet his/her requirements if vegetable consumption occurs in a single eating occasion. Thus, assessing distribution of intake across meal occasions is also of interest to discern opportunities for increased consumption.

Evaluating fruit and vegetable intake according to group characteristics and demographics can inform policy and health promotion practice to improve consumption levels. Thus, the present study aimed to conduct secondary analyses on the NNPAS data from 2011–12 in order to: (i) determine the intakes of fruits and vegetables among young adults (18–34-year-olds); (ii) evaluate variety of fruits and vegetables in the diets of young adults; (iii) investigate fruit and vegetable intakes by meal occasion (main meals v. snacks); and (iv) examine intakes according to sociodemographic variables such as age, gender, BMI, Socio-Economic Index for Areas (SEIFA) and geographical location.

Methods

Participants and dietary data methodology

The data analysed in the present study were collected as part of the 2011–12 Australian NNPAS by the Australian Bureau of Statistics (ABS). A detailed description of the survey methods including data collection and handling is available from the ABS( 41 ). Briefly, the 2011–12 NNPAS was conducted using nationally representative sub-samples of the Australian Health Survey 2011–13. Trained ABS technicians collected dietary data on foods and beverages consumed using a computer-assisted personal interview, multiple-pass 24 h dietary recall. This method captured intakes of foods and beverages consumed by respondents on the day prior to the interview. To account for variations in intakes across seasons and days of the week, surveys were conducted over 12 months covering weekdays and weekends. Portion sizes were assessed by quantifying the amount of food the respondent consumed at one meal occasion. Rulers, rings, a grid, a wedge, various meat cuts and Australian-sourced drawings and photographs of actual-size food and drink containers in different shapes and sizes were provided in a food model booklet to help respondents estimate portion sizes, which were converted to grams by multiplying the volume specified by the food density( 41 ). A second 24 h recall was conducted with all participants asked to participate on a voluntary basis. Data from the second interview (computer-assisted telephone interview) was not included as only 64 % of respondents participated in the second dietary recall. The survey included a representative sample of city, metropolitan, rural and remote areas across the Australian States and Territories. In the present paper, secondary analyses were conducted on fruit and vegetable intake data of young adults aged 18–34 years. This age range was chosen to reflect definitions of young adulthood according to national health institutes in the USA and Australia( 42 , 43 ). However, as emerging adults may have quite different lifestyles from those aged 30–35 years( Reference Arnett 44 ), we further grouped into the following age categories: 18–24 years, 25–29 years and 30–34 years. Data were extracted from the Confidentialised Unit Record Files provided by the ABS (permission granted for use)( 45 ).

Classification of fruits and vegetables

The Confidentialised Unit Record Files group food data for all respondents into categories. Further grouping was conducted to classify fruits and vegetables according to categories based on the foundation and total diet food models developed for dietary guidelines( 18 ). Fruits were categorised as citrus, pome, tropical, berries, stone or other; with a separate fruit juice category. Vegetables were grouped as green and brassica, orange, starchy, root/tubular/bulb or other, excluding fried potatoes. Legumes, fresh, canned, frozen and dried varieties of fruits and vegetables, as well as fruits and vegetables within mixed dishes were included in the analyses (see online supplementary material, Table S1). All fruits and vegetables in mixed dishes were included. The proportions of fruits and vegetables within all mixed dishes were determined based on ingredient weights reported within the 2011–13 AUSNUT food recipe file( 46 ) and assigned to the appropriate fruit or vegetable category. Consumption of fruit juice exceeding 125 ml and fried potatoes were excluded from analyses in accordance with the Australian Guide to Healthy Eating recommendations which classify them as discretionary (non-core) items( 15 ). Fried potato intake was assessed and reported separately.

Assessment of fruit and vegetable intake

The total weight of fruits and vegetables consumed by each respondent was calculated as the sum of the fruit and vegetable categories, which included both individual fruits and vegetables and those from mixed dishes. Consumers and non-consumers were identified and proportions were established. The mean intakes of fruits and vegetables (grams) were calculated and converted to servings. Internationally there is variation in the definition of a serving. For example, in the UK, a serving of fruit or vegetables is equivalent to 80 g( 47 ). We used the Australian Guide to Healthy Eating( 15 ) definition which specifies that a standard serving of fruit is equivalent to 150 g, while a serving of vegetables equates to 75 g, with a minimum of two servings of fruit and five servings of vegetables recommended daily for adults. These recommendations are based on gender-specific energy and nutrients requirements, such that adult males are recommended six servings of vegetables daily.

Variety and intake by meal occasion

The variety of fruits and vegetables eaten was calculated as the number of the fruit and vegetable categories consumed as defined in the online supplementary material, Table S1. Variety was assessed using a modified version of the scoring system developed by Magarey et al.( Reference Magarey, McKean and Daniels 34 ). Scoring was as follows: low variety (one type of fruit, one or two types of vegetable), medium variety (two types of fruit, three or four types of vegetable) and high variety (three or more types of fruit, five or more types of vegetable). For this analysis, consuming ≥50 % of a serving of a category of fruit or vegetable as defined in Table S1 (i.e. ≥75 g of fruit or ≥37·5 g of vegetables) was counted as consuming one type of fruit or vegetable. The number of different types consumed by each participant was summed to give his/her total variety score. Fruit juice was excluded from variety scoring as the type of fruit within these products was not differentiated as part of the current analyses. Dried fruit was also excluded as only a small proportion of the population reported consumption on the day prior to the dietary recall. Data were also categorised by meal occasion as breakfast, lunch, dinner or snacks, where snacks included brunch, morning tea, afternoon tea, snack, extended consumption and other. The mean fruit and vegetable intake at each meal occasion was determined. Further analyses were conducted to explore patterns in number of servings consumed across the day and proportions consuming fruits and vegetables per meal occasion.

Associations between fruit and vegetable intake and lifestyle, anthropometry and sociodemographic variables

To explore factors that may influence fruit and vegetable consumption, we evaluated the relationship between age, BMI, sociodemographic variables (SEIFA and geographical location), lifestyle factors and mean intakes. BMI was derived from the height and weight measurements taken objectively by the interviewer and categorised as underweight (≤18·5 kg/m2), healthy weight (18·5–24·99 kg/m2), overweight (25·0–29·99 kg/m2) or obese (≥30·0 kg/m2) based on the National Institutes of Health’s cut-offs( 48 ). Respondents with no BMI recording (n 317) were coded as ‘missing values’ and omitted from BMI analyses. The SEIFA takes into consideration the impact of the area of residence, rather than an individual’s income, occupation or level of education, on intake. Quintile 1 includes the most disadvantaged areas, while quintile 5 represents the least disadvantaged areas. Geographical location was categorised as inner regional Australia, city/metropolitan (capital cities and surrounds) and other (outer regional Australia, remote and very remote Australia). Data on smoking (smoker v. non-smoker) and alcohol consumption (grams per day) were also evaluated as potential confounders in regression models.

Statistics

Statistical analyses were conducted using the statistical software package IBM SPSS Statistics for Windows version 22.0. Data for those aged 18–34 years inclusive were extracted from the Confidentialised Unit Record Files. Subject weighting factors supplied by the ABS were applied to the data before analyses, to ensure they were more representative of the population by age, gender, area of residence and seasonal effect( 41 ). Under-reporters were identified as those with a ratio of energy intake to BMR of <0·87 based on the Goldberg cut-off( Reference Black 49 ), which has been used for identification of misreporting in previous national Australian surveys( Reference Rangan, Allman‐Farinelli and Donohoe 50 ) and validated for use with 24 h recall data( Reference Rennie, Coward and Jebb 51 ). Results are reported including under-reporters unless stated otherwise. Descriptive statistics were used to report fruit and vegetable intake. The mean intake per capita and median intake per consumer were determined and percentage consuming calculated. Differences in proportions of young adults consuming fruits and vegetables according gender, age, BMI, SEIFA and geographical location were assessed using Pearson’s χ 2 tests. Differences in variety scores and proportions of persons consuming vegetables at each meal occasion according to categories of servings consumed were also determined by Pearson χ 2 tests. As data were not normally distributed, Kruskal–Wallis tests were applied to assess trends in intakes across categories and by age and gender, and to compare differences in intakes between meal occasions. Linear regression models were used to determine the relationship between fruit and vegetable intake and age, gender, BMI and sociodemographic variables (SEIFA and geographical location), controlling for energy intake and lifestyle factors (smoking status and alcohol intake). Statistical significance was set at P<0·05 for all tests.

Results

Characteristics

Table 1 summarises the characteristics of the sample of young adults included within the analyses (n 2397). The sample was evenly distributed across genders, age and SEIFA. Close to half the population were classed as overweight or obese (Table 1). Approximately 16 % of respondents were classed as under-reporters (n 386).

Table 1 Characteristics of the sample of Australian young adults from the National Nutrition and Physical Activity Survey 2011–12 (n 2397)

* n 2080, 317 measurements not obtained.

Proportions of young adults consuming fruits and vegetables

Proportions of young adults consuming fruits and vegetables, and the amounts consumed, according to age, gender, BMI, SEIFA and geographical location, are presented in Tables 25. Fifty-six per cent of respondents consumed fruit (48 % when excluding fruit juice) and 93 % consumed vegetables. A small percentage of respondents (4·3 %) did not consume any fruit or vegetables. A greater proportion of females consumed fruits than males (males, 40·6 %; females, 53·8 %; P<0·001). No significant differences were observed between genders for vegetable consumption (Table 2). Fewer young adults aged 18–24 years reported consuming fruits (Table 4), and the largest percentage of consumers was observed in the young adults of the highest SEIFA category for fruit when including juice (Table 5) and for vegetables (Table 3). The proportion consuming legumes on the day prior to the dietary recall was relatively low at 12·3 %. Pome fruit and fruit juice were the most popular fruit categories consumed (Table 4).

Table 2 Proportions (%) of Australian young adults aged 18–34 years consuming vegetables, and the median intake and interquartile range ((IQR); 25th–75th percentile) per consumer (g/d), according to age, gender and BMI, National Nutrition and Physical Activity Survey 2011–12 (n 2397)

* From Kruskal–Wallis test on per capita intakes; significant P values indicated in bold font.

n 2080, as 317 participants did not have a measured weight and height for calculation of BMI values.

Excluding fried potatoes.

Table 3 Proportions (%) of Australian young adults aged 18–34 years consuming vegetables, and the median intake and interquartile range ((IQR); 25th–75th percentile) per consumer (g/d), according to Socio-Economic Index for Areas (SEIFA) and geographical location, National Nutrition and Physical Activity Survey 2011–12 (n 2397)

* From Kruskal–Wallis test on per capita intakes; significant P values indicated in bold font.

Excluding fried potatoes.

Table 4 Proportions (%) of Australian young adults aged 18–34 years consuming fruit, and the median intake and interquartile range ((IQR); 25th–75th percentile) per consumer (g/d), according to age, gender and BMI, National Nutrition and Physical Activity Survey 2011–12 (n 2397)

* From Kruskal–Wallis test on per capita intakes; significant P values indicated in bold font.

n 2080, as 317 participants did not have a measured weight and height for calculation of BMI values.

Including fruit juice, up to 1 serving (125 ml or ½ cup).

§ Up to 1 serving (125 ml or ½ cup).

Table 5 Proportions (%) of Australian young adults aged 18–34 years consuming fruit, and the median intake and interquartile range ((IQR); 25th–75th percentile) per consumer (g/d), according to Socio-Economic Index for Areas (SEIFA) and geographical location, National Nutrition and Physical Activity Survey 2011–12 (n 2397)

* From Kruskal–Wallis test on per capita intakes; significant P values indicated in bold font.

Including fruit juice, up to 1 serving (125 ml or ½ cup).

Up to 1 serving (125 ml or ½ cup).

Amounts of fruits and vegetables consumed

Median intake among consumers was 181·5 and 159·5 g for fruit and vegetables, respectively. This is equivalent to 1·2 servings of fruit and 2·1 servings of vegetables using Australian standard serving sizes. The median (interquartile range; 25th–75th percentile) intake of fried potatoes among 18–34-year-olds was 88·5 (55·0–134·3) g, which, if included, would bring the median servings of vegetables consumed to 3·3 servings. Intake of vegetables was lowest for 18–24-year-olds (P=0·002; Table 2). Fruit intake (including juice) was highest for the 30–34-year-olds (P=0·002), with females consuming more than males (P<0·001; Table 4). Those within the obese category reported the lowest intake of fruits (P=0·02; Table 4). While no significant differences were found between SEIFA quintiles for vegetable intake, consumption patterns were trending towards significance (P=0·06). Geographical location had no significant effect on vegetable intake. However, those within regional locations reported consuming more starchy vegetables (P<0·001) and less of the ‘others’ category (P=0·045; Table 3).

Comparison of per capita intake with Australian Guide to Healthy Eating recommendations

On average, 18–34-year-olds consumed 128 g (0·9 servings) of fruit, which was below the 300 g (2 servings) minimum daily recommendation. The mean vegetable intake was 205 g (2·7 servings), also below the 375 g (5 servings) minimum recommended daily intake. Approximately 15 % of the young adults consumed ≥5 servings of vegetables and ≥2 servings of fruit on the day prior to recall.

Fruit and vegetable variety

The variety of fruits and vegetables consumed by the respondents is presented in Table 6. Less than a quarter of population surveyed reported consuming 3–4 different vegetable categories on the day prior to the dietary recall. Among those who consumed vegetables, intake of starchy vegetables was high (approximately 1·2 servings) but consumption of the green and brassica group was less than half a serving (Table 2). A large proportion of the young adults consumed <1 type of fruit, with citrus, pome and stone fruits eaten the most among fruit consumers (Table 4). There were no differences in fruit variety (consuming ≥2 categories) by age or gender. However, those aged 18–24 years had the lowest vegetable variety score (P=0·01), with no differences by gender.

Table 6 Proportions of Australian young adults aged 18–34 years consuming a low, medium and high variety of vegetable and fruit sub-categories, National Nutrition and Physical Activity Survey 2011–12 (n 2397)

* Consumption of a category defined as eating at least half a serving of fruit or vegetable within the category (≥37·5 g of vegetables or ≥75 g of fruit).

Excluding fried potatoes.

Excluding fruit juice and dried fruit.

§ Significant difference in proportion scoring ≥3 for vegetable variety score by age using post hoc χ 2 analysis (z=3·0, P<0·008, Bonferroni-corrected P value).

Analysis by meal occasion

Differences in fruit and vegetable intake were observed across meal occasions (P<0·001). The highest mean intake of vegetables occurred at dinner (131 (sd 212) g, 1·75 servings), followed by lunch (64·7 (sd 101) g). Less than a quarter of a serving of vegetables was reported at breakfast (12·5 (sd 52·2) g) and as snacks (15·5 (sd 64·5) g). Fruit consumption was highest between main meals with almost half a serving consumed as snacks (68·9 (sd 128) g). Table 7 demonstrates the differences in proportions consuming fruits and vegetables per meal occasion grouped according to the number of servings consumed throughout the day. Those consuming >5 vegetable servings daily had the highest proportion of consumers across all meals (P<0·001). Additionally, a larger proportion of respondents who consumed >2 fruit servings/d reported intake of fruit as a snack and at lunch compared with those consuming ≤1 serving/d (P<0·001; Table 7).

Table 7 Proportions (%) of Australian young adults aged 18–34 years consuming vegetables and fruits per meal occasion (breakfast, lunch, dinner and snacks), grouped according to the number of servings consumed throughout the day, National Nutrition and Physical Activity Survey 2011–12 (n 2397)

* From χ 2 analysis of differences in proportions of persons consuming vegetables/fruits at each meal according to categories of servings consumed; significant P values indicated in bold font.

Excluding fruit juice.

Snacks included all foods consumed between main meals.

Associations between fruit and vegetable intake and lifestyle, anthropometry and sociodemographic variables: linear modelling

Table 8 shows the associations between fruit and vegetable intake and sociodemographic and lifestyle factors. A positive association was observed between age and fruit and vegetable intake (P=0·002, excluding juice; P=0·003 including juice; P<0·001, vegetables). When controlling for energy males consumed less vegetables than females (P=0·002). There were no associations found between BMI and intake (Table 8). While the removal of under-reporters increased β values positively, the associations remained non-significant. Living in outer regional and remote areas was associated with the lowest fruit intake (P=0·01, excluding juice). No associations were found between intake and SEIFA categories.

Table 8 Linear regression results: factors associated with vegetable and fruit intake among Australian young adults aged 18–34 years, National Nutrition and Physical Activity Survey 2011–12 (n 2397)

* Beta coefficients represent the adjusted mean difference between each subgroup and the reference group (R), based on per capita intake in grams (n 2397), after controlling for confounders including age, gender, BMI, SEIFA, geographical location, smoking status and alcohol intake.

Under-reporters (n 386) excluded.

Discussion

The present secondary analysis of the 2011–12 NNPAS data confirms that fruit and vegetable intakes of young adults aged 18–34 years are suboptimal. The combined mean fruit and vegetable intake of the surveyed sample (328 g/d) fell short of the WHO standard, which recommends 400–500 g of fruits and vegetables daily for prevention of chronic disease risk( 12 ) and aligns with previous reports on the global inadequacy of population intakes( Reference Miller, Yusuf and Chow 52 ). Most Australian young adults also failed to consume a variety of fruits and vegetables, with those in the youngest age group (18–24 years) reporting the lowest intakes and variety. Analyses by sociodemographic variables revealed that males may need more support than females to improve intake as well as those in regional areas who have less access to a variety of fresh vegetables. These findings can inform policy and health promotion practice to effectively close the gap between current consumption levels and recommended intake.

Young adults consumed a mean of 0·9 and 2·7 servings of fruits and vegetables daily, respectively. This is higher than the ABS analysis for 19–30-year-olds (0·7 and 2·2 servings of fruits and vegetables)( 53 ), but includes all sources of fruits and vegetables using disaggregated data. Overall, vegetable intake of young adults may be slightly better than reported in previous analysis but is still well below recommendations, and therefore public health messages promoting fruit and vegetable consumption remain important.

Previous data collected in 1995 do not report intake of young adults separately; however, mean daily intake for those aged 19 years or over was 3·6 servings of vegetables and approximately 1 serving of fruit( 36 ). While the food items, classification of fruits and vegetables and method of analyses differed between the surveys, it is evident that intake of fruits and vegetables remains poor and is worsening. Thus, immediate action is required to assist this generation of adults to improve their intake.

Despite literature indicating that access to a variety of fruits and vegetables is lower and costs are higher in regional areas of Australia( Reference Landrigan and Pollard 39 , Reference Harrison, Coyne and Lee 54 56 ), no differences in intake were observed between geographical locations. However, those within regional locations reported consuming more starchy vegetables and less of the ‘others’ category. As fruits and vegetables are highly perishable, the costs of transportation to remote areas are high and with desert climates, water shortages and soil prohibiting local production in some areas( Reference Edwards, Dixon and Friel 57 ), it is not surprising that young adults in isolated rural areas consume less perishable vegetables. To address this, social marketing campaigns could focus on the promotion of nutritionally equivalent frozen and low-sugar and low-sodium canned fruits and vegetables as a means of increasing variety at low cost, particularly in regional areas. Examples include frozen berries or canned beans, tomatoes and mushrooms.

Studies in Australia have explored differences in fruit and vegetable intake by SES. While Giskes et al. identified lower intakes among adolescents living lower-SES areas( Reference Giskes, Turrell and Patterson 35 ), and the New South Wales population health survey results (2014) showed that fewer people in disadvantaged areas met fruit and vegetable recommendations( 58 ), no studies have specifically looked at young adults. The present analysis found no differences in mean vegetable intake of young adults by SEIFA quintile. However, among the higher SEIFA group there was a trend towards greater consumption of the ‘other vegetables’, such as mushrooms and avocado, which tend to be more expensive. It may be worthwhile to run local rather than national campaigns that address the specific barriers relevant to fruit and vegetable intake for the population within their area of residence. With the perceived cost of vegetables identified as a significant barrier to intake among young adults( Reference Dumbrell and Mathai 28 , Reference Hartman, Wadsworth and Penny 59 ), campaigns could focus on budgeting for the inclusion of fruits and vegetables, particularly for lower SEIFA groups. Furthermore, previous research has indicated that there are no significant differences in knowledge of fruit and vegetable recommendations between socio-economic groups; however, those from higher SES quintiles scored significantly higher in their ability to make healthier food choices( Reference Hendrie, Coveney and Cox 60 ). This suggests the lower-SES areas may need extra support in translating knowledge into behaviour.

The analysis of patterns of fruit intake by SEIFA group revealed that while the lowest intake was recorded for those in the lowest SEIFA quintile, the highest intake of fruit juice was among those of the top SEIFA group. These results contrast what is seen in the USA, where the highest juice consumption is reported among those of lower SES( Reference Drewnowski and Rehm 61 ). Industry reports on the trend of commercial fruit juice consumption estimate an annual growth in revenue from juice sales of 9·8 % in Australia( 62 ). This proliferation of juice sales through outlets that offer ‘designer’ juices may be contributing to a trend for juice consumption among young adults of higher SEIFA. Previous research in Australia highlighted that such juices were seen as a fashion accessory by young adults( Reference Hattersley, Irwin and King 63 ). Although fruit juice can assist in meeting the recommended two fruit servings daily, the higher sugar and lower fibre content of these beverages and ease of overconsumption indicate that intake should continue to be monitored and emphasis placed on increasing whole fruit consumption and replacing juice with water. This is particularly important considering fruit juice promotes weight gain over the long term( Reference Hebden, O’Leary and Rangan 64 ).

Overall, variety was poor among the young adults. Fruit consumers mainly reported intake of pome, citrus and stone fruit with lower intakes of berries and tropical fruit. Among vegetable consumers, intake of starchy vegetables was high but consumption of the green and brassica group was less than half a serving. While starchy vegetables contain carbohydrates (which provide energy) and some vitamins, green leafy and brassica vegetables are rich in folate which has been postulated to reduce the risk of cancer( 18 ) and neural tube defects( Reference De-Regil, Fernández-Gaxiola and Dowswell 65 ). They are also a good source of phytochemicals, Fe and vitamin C. Our estimates of vegetable intake counted potatoes prepared without fat as a starchy vegetable but did not include fried potatoes as per the Australian dietary guidelines. Among consumers the median intake of fried potatoes (1·2 servings) was proportionally high compared with other vegetables.

Only 12 % of the young adults surveyed consumed legumes. The consumption of legumes is of value, as they are a relatively inexpensive source of protein, Fe, fibre and micronutrients. Thus, promoting intake of these protein- and nutrient-rich vegetables to young adults can help to improve vegetable intake while also reducing the total cost of meals. Additionally, with previous research highlighting the effect of exposure to fruits and vegetables in the early years of life on intake and variety consumed in adulthood( Reference Ramsay, Rudley and Tonnemaker 66 ), continued work is needed to promote consumption in younger children with initiatives such as the Stephanie Alexander Kitchen Garden Program( Reference Block, Gibbs and Staiger 67 ).

To our knowledge, the current analysis is the first to examine fruit and vegetable intake by meal occasion. The findings demonstrated that vegetables are consumed mainly at dinner and lunch, with an opportunity to increase intake at breakfast and as snacks. Fruit consumption was highest between main meals with almost half a serving consumed as snack. Additionally, a greater proportion of respondents who met or exceeded the daily recommendations consumed fruits and vegetables throughout the day. Thus, public health practitioners should consider encouraging intake at all meals to increase the likelihood of reaching the recommended daily intake of fruits and vegetables.

Finally, the low level of fruit and vegetable intake within the young adult population is a concern considering the continued risk of overweight and obesity in this age group( Reference Grech and Allman-Farinelli 68 ). Given the cross-sectional nature of these data, it is not surprising that there was no association observed between BMI category and intake. Previous longitudinal studies have confirmed, however, that increasing vegetable intake is associated with a reduction in weight( Reference Bertoia, Mukamal and Cahill 69 ), with a recent systematic review confirming that consumption of whole fruit can reduce the risk for long-term weight gain in middle-aged adults( Reference Hebden, O’Leary and Rangan 64 ). Thus, promoting vegetable and whole fruit intake to young adults, especially those of higher BMI, may be beneficial to weight maintenance in their transition into adulthood. Furthermore, given the additional benefits of increased fruit and vegetable intake in reducing the risk of cancer, CVD and all-cause mortality( Reference Oyebode, Gordon-Dseagu and Walker 70 ), promoting increased intake in this young generation may reduce the future burden of chronic disease.

Strengths and limitations

As with most dietary assessment methods, the 24 h recall has some measurement error introduced by inaccurate recall or estimation of intake( Reference Slimani, Ferrari and Ocke 71 ). It is also important to note that those classified as ‘non-consumers’ on the day of the interview may not typically be non-consumers. Thus, one day recalls may not be a reflection of usual intake among individuals, but provide a good estimation and snapshot of consumption at a population level, allowing public health researchers to assess how intake changes over time. We also looked at the effect of under-reporting, with no significant effect found on associations.

A significant strength of our secondary analysis was the use of detailed intake data including fruits and vegetables consumed as part of any mixed dish, providing a more comprehensive estimation of intake. Future analysis could explore the major mixed-meal sources of fruits and vegetables.

Conclusions

Fruit and vegetable intake remains suboptimal for Australian young adults aged 18–34 years, with poorer intakes among 18–24-year-olds and males. Therefore, intensive efforts are warranted to effectively promote fruits and vegetables to this at-risk population group to increase intake as they transition into adulthood. The analyses documented herein highlight the specific opportunities for improving intake, namely supporting younger adults aged 18–24 years, with a focus on engaging males to increase vegetable intake, promoting fruits and vegetables at all meal occasions, with inclusion in mixed dishes, to increase likelihood of meeting daily requirements. For those in regional areas with limited access to a variety of fresh fruits and vegetables, canned and frozen options can be explored.

Acknowledgements

Financial support: This research received no specific grant from any funding agency in the public, commercial or not-for-profit sectors. M.N. and A.G. are supported by the Australian Post-graduate Award (APA) for doctoral studies. Conflict of interest: The authors have no financial or personal conflicts of interest to declare. Authorship: M.N., Z.S., A.R., A.G. and M.A.-F. contributed to the study design. K.M. provided statistical support and all authors contributed to data analysis and/or interpretation of the results. M.N. drafted the manuscript and all authors read and approved the final version of the manuscript. Ethics of human subject participation: In keeping with the National Statement on Ethical Conduct in Human Research( 72 ), this research was exempt from review by the institutional review board as all data were de-identified. The surveys used to obtain these data were conducted under the Federal Census and Statistics Act 1905( 41 ).

Supplementary Material

To view supplementary material for this article, please visit https://doi.org/10.1017/S1368980017001124

References

1. Ledoux, T, Hingle, M & Baranowski, T (2011) Relationship of fruit and vegetable intake with adiposity: a systematic review. Obes Rev 12, e143e150.Google Scholar
2. Boffetta, P, Couto, E, Wichmann, J et al. (2010) Fruit and vegetable intake and overall cancer risk in the European Prospective Investigation into Cancer and Nutrition (EPIC). J Natl Cancer Inst 102, 529537.Google Scholar
3. Lunet, N, Lacerda-Vieira, A & Barros, H (2005) Fruit and vegetables consumption and gastric cancer: a systematic review and meta-analysis of cohort studies. Nutr Cancer 53, 110.Google Scholar
4. Steinmetz, KA & Potter, JD (1996) Vegetables, fruit, and cancer prevention: a review. J Am Diet Assoc 96, 10271039.Google Scholar
5. Dauchet, L, Amouyel, P, Hercberg, S et al. (2006) Fruit and vegetable consumption and risk of coronary heart disease: a meta-analysis of cohort studies. J Nutr 136, 25882593.Google Scholar
6. Ness, AR & Powles, JW (1997) Fruit and vegetables, and cardiovascular disease: a review. Int J Epidemiol 26, 113.Google Scholar
7. Wang, X, Ouyang, Y, Liu, J et al. (2014) Fruit and vegetable consumption and mortality from all causes, cardiovascular disease, and cancer: systematic review and dose–response meta-analysis of prospective cohort studies. BMJ 349, g4490.Google Scholar
8. Hu, D, Huang, J, Wang, Y et al. (2014) Fruits and vegetables consumption and risk of stroke: a meta-analysis of prospective cohort studies. Stroke 45, 16131619.Google Scholar
9. Appel, LJ, Moore, TJ, Obarzanek, E et al. (1997) A clinical trial of the effects of dietary patterns on blood pressure. N Engl J Med 336, 11171124.Google Scholar
10. Miura, K, Greenland, P, Stamler, J et al. (2004) Relation of vegetable, fruit, and meat intake to 7-year blood pressure change in middle-aged men: the Chicago Western Electric Study. Am J Epidemiol 159, 572580.Google Scholar
11. Bazzano, LA, He, J, Ogden, LG et al. (2002) Fruit and vegetable intake and risk of cardiovascular disease in US adults: the first National Health and Nutrition Examination Survey Epidemiologic Follow-up Study. Am J Clin Nutr 76, 9399.Google Scholar
12. World Health Organization (2003) Diet, Nutrition and the Prevention of Chronic Diseases. Report of a Joint WHO/FAO Expert Consultation. WHO Technical Report Series no. 916. Geneva: WHO.Google Scholar
13. French Government, Programme National Nutrition Santé (2002) Fruits et légumes: au moins 5 par jour. http://www.mangerbouger.fr/bien-manger/que-veut-dire-bien-manger-127/les-9-reperes/fruits-et-legumes-au-moins-5-par-jour.html (accessed May 2016).Google Scholar
14. National Health Service, NHS Choices (2015) Live Well. 5 A DAY. http://www.nhs.uk/livewell/5aday/Pages/5ADAYhome.aspx (accessed January 2017).Google Scholar
15. National Health and Medical Research Council (2011) Australian Dietary Guidelines Incorporating the Australian Guide to Healthy Eating – Providing the Scientific Evidence for Healthier Australian Diets. Canberra, ACT: NHMRC.Google Scholar
16. Gibson, RS (2007) The role of diet- and host-related factors in nutrient bioavailability and thus in nutrient-based dietary requirement estimates. Food Nutr Bull 28, 1 Suppl. Int., S77S100.Google Scholar
17. Van Duyn, MAS & Pivonka, E (2000) Overview of the health benefits of fruit and vegetable consumption for the dietetics professional: selected literature. J Am Diet Assoc 100, 15111521.Google Scholar
18. National Health and Medical Research Ccouncil (2011) A modelling system to inform the revision of the Australian Guide to Healthy Eating. https://www.eatforhealth.gov.au/sites/default/files/files/public_consultation/n55a_dietary_guidelines_food_modelling_111216.pdf (accessed December 2015).Google Scholar
19. Rekhy, R & McConchie, R (2014) Promoting consumption of fruit and vegetables for better health. Have campaigns delivered on the goals? Appetite 79, 113123.Google Scholar
20. Cox, DN, Anderson, AS, Lean, ME et al. (1998) UK consumer attitudes, beliefs and barriers to increasing fruit and vegetable consumption. Public Health Nutr 1, 6168.CrossRefGoogle ScholarPubMed
21. Pomerleau, J, Lock, K, McKee, M et al. (2004) The challenge of measuring global fruit and vegetable intake. J Nutr 134, 11751180.Google Scholar
22. Hall, JN, Moore, S, Harper, SB et al. (2009) Global variability in fruit and vegetable consumption. Am J Prev Med 36, 402409.e5.Google Scholar
23. Casagrande, SS, Wang, Y, Anderson, C et al. (2007) Have Americans increased their fruit and vegetable intake? The trends between 1988 and 2002. Am J Prev Med 32, 257263.Google Scholar
24. Serdula, MK GC, Kettel-Khan, L et al. (2004) Trends in fruit and vegetable consumption among adults in the United States: behavioral risk factor surveillance system, 1994–2000. Am J Public Health 94, 10141018.Google Scholar
25. Public Health England & Food Standards Agency (2014) National Diet and Nutrition Survey: results from Years 1 to 4 (combined) of the rolling programme for 2008 and 2009 to 2011 and 2012. Chapter 8, Table 8. https://www.gov.uk/government/statistics/national-diet-and-nutrition-survey-results-from-years-1-to-4-combined-of-the-rolling-programme-for-2008-and-2009-to-2011-and-2012 (accessed October 2015).Google Scholar
26. Pollard, CM, Miller, MR, Daly, AM et al. (2008) Increasing fruit and vegetable consumption: success of the Western Australian Go for 2&5® campaign. Public Health Nutr 11, 314320.Google Scholar
27. Australian Bureau of Statistics (2012) 4364.0.55.001 – Australian Health Survey: First Results, 2011–12. Canberra, ACT: ABS.Google Scholar
28. Dumbrell, S & Mathai, D (2008) Getting young men to eat more fruit and vegetables: a qualitative investigation. Health Promot J Aust 19, 216221.Google Scholar
29. Hartmann, C, Dohle, S & Siegrist, M (2014) Time for change? Food choices in the transition to cohabitation and parenthood. Public Health Nutr 17, 27302739.CrossRefGoogle ScholarPubMed
30. Lee, HA & Park, H (2015) Correlations between poor micronutrition in family members and potential risk factors for poor diet in children and adolescents using Korean National Health and Nutrition Examination Survey Data. Nutrients 7, 63466361.CrossRefGoogle ScholarPubMed
31. Noar, SM, Benac, CN & Harris, MS (2007) Does tailoring matter? Meta-analytic review of tailored print health behavior change interventions. Psychol Bull 133, 673693.Google Scholar
32. Rasmussen, M, Krølner, R, Klepp, K-I et al. (2006) Determinants of fruit and vegetable consumption among children and adolescents: a review of the literature. Part I: Quantitative studies. Int J Behav Nutr Phys Act 3, 22.Google Scholar
33. Dobson, A, Porteous, J, McElduff, P et al. (1997) Dietary trends: estimates from food supply and survey data. Eur J Clin Nutr 51, 193198.Google Scholar
34. Magarey, A, McKean, S & Daniels, L (2006) Evaluation of fruit and vegetable intakes of Australian adults: the National Nutrition Survey 1995. Aust N Z J Public Health 30, 3237.Google Scholar
35. Giskes, K, Turrell, G, Patterson, C et al. (2002) Socio-economic differences in fruit and vegetable consumption among Australian adolescents and adults. Public Health Nutr 5, 663669.Google Scholar
36. Australian Bureau of Statistics (1997) 4802.0 – National Nutrition Survey: Selected Highlights, Australia, 1995. Canberra, ACT: ABS.Google Scholar
37. Dean, WR & Sharkey, JR (2011) Rural and urban differences in the associations between characteristics of the community food environment and fruit and vegetable intake. J Nutr Educ Behav 43, 426433.Google Scholar
38. Reicks, M, Randall, JL & Haynes, BJ (1994) Factors affecting consumption of fruits and vegetables by low-income families. J Am Diet Assoc 94, 13091311.Google Scholar
39. Landrigan, T & Pollard, C (2010) Food Access and Cost Survey (FACS). http://www.public.health.wa.gov.au/cproot/4115/2/Food%20Access%20and%20Costs%20Survey%202010.pdf (accessed March 2016).Google Scholar
40. Partridge, SR, McGeechan, K, Bauman, A et al. (2016) Improved eating behaviours mediate weight gain prevention of young adults: moderation and mediation results of a randomised controlled trial of TXT2BFiT, mHealth program. Int J Behav Nutr Phys Act 13, 44.Google Scholar
41. Australian Bureau of Statistics (2013) 4363.0.55.001 – Australian Health Survey: User’s Guide, 201113 . Canberra, ACT: ABS.Google Scholar
42. National Institutes of Health (2010) Trials use technology to help young adults achieve healthy weights. http://www.nih.gov/news/health/nov2010/nhlbi-29.htm (accessed September 2015).Google Scholar
43. Australian Institute of Health (2007) Young Australians: their health and wellbeing (2007) Part 1: Background. http://www.aihw.gov.au/WorkArea/DownloadAsset.aspx?id=6442459815 (accessed January 2017).Google Scholar
44. Arnett, JJ (2000) Emerging adulthood: a theory of development from the late teens through the twenties. Am Psychol 55, 469480.Google Scholar
45. Australian Bureau of Statistics (2013) 2011–13 National Nutrition Survey [confidentialised unit record file (CURF) on CD-ROM]. Canberra, ACT: ABS.Google Scholar
46. Food Standards Australia New Zealand (2011/13) Australian Food Supplement and Nutrient Database: Food Recipe File. http://www.foodstandards.gov.au/science/monitoringnutrients/ausnut/ausnutdatafiles/Pages/foodrecipe.aspx (accessed November 2015).Google Scholar
47. National Health Service, NHS Choices (2015) Rough guide – Fruit and vegetable portion sizes. http://www.nhs.uk/livewell/5aday/documents/downloads/5aday_portion_guide.pdf (accessed January 2017).Google Scholar
48. NHLBI Obesity Education Initiative, National Heart, Lung, and Blood Institute, North American Association for the Study of Obesity, Expert Panel on the Identification, Treatment of Overweight and Obesity in Adults (2002) The Practical Guide: Identification, Evaluation, and Treatment of Overweight and Obesity in Adults. Bethesda, MD: National Heart, Lung, and Blood Institute.Google Scholar
49. Black, A (2000) The sensitivity and specificity of the Goldberg cut-off for EI:BMR for identifying diet reports of poor validity. Eur J Clin Nutr 54, 395404.Google Scholar
50. Rangan, A, Allman‐Farinelli, M, Donohoe, E et al. (2014) Misreporting of energy intake in the 2007 Australian Children’s Survey: differences in the reporting of food types between plausible, under‐and over‐reporters of energy intake. J Hum Nutr Diet 27, 450458.Google Scholar
51. Rennie, KL, Coward, A & Jebb, SA (2007) Estimating under-reporting of energy intake in dietary surveys using an individualised method. Br J Nutr 97, 11691176.Google Scholar
52. Miller, V, Yusuf, S, Chow, CK et al. (2016) Availability, affordability, and consumption of fruits and vegetables in 18 countries across income levels: findings from the Prospective Urban Rural Epidemiology (PURE) study. Lancet Glob Health 4, e695e703.Google Scholar
53. Australian Bureau of Statistics (2013) Table 5.1: Mean Daily Food Intake, 4364.0.55.007. In 43640DO005_20112012 – Australian Health Survey: Nutrition First Results – Foods and Nutrients, 2011–12. Canberra, ACT: ABS.Google Scholar
54. Harrison, MS, Coyne, T, Lee, AJ et al. (2007) The increasing cost of the basic foods required to promote health in Queensland. Med J Aust 186, 914.Google Scholar
55. Chapman, K, Kelly, B, Bauman, A et al. (2014) Trends in the cost of a healthy food basket and fruit and vegetable availability in New South Wales, Australia, between 2006 and 2009. Nutr Diet 71, 117126.Google Scholar
56. Cancer Council NSW (2007) NSW healthy food basket cost, availability and quality survey. https://www.cancercouncil.com.au/576/cancer-prevention/diet-exercise/nutrition-policy/food-costs/nsw-healthy-food-basket-2007/ (accessed June 2017).Google Scholar
57. Edwards, F, Dixon, J, Friel, S et al. (2011) Climate change adaptation at the intersection of food and health. Asia Pac J Public Health 23, 2 Suppl., 91S104S.Google Scholar
58. Centre for Epidemiology and Research (2014) Centre for Epidemiology and Research Health Statistics New South Wales. Sydney, NSW: NSW Ministry of Health Health Statistics.Google Scholar
59. Hartman, H, Wadsworth, DP, Penny, S et al. (2013) Psychosocial determinants of fruit and vegetable consumption among students in a New Zealand university. Results of focus group interviews. Appetite 65, 3542.Google Scholar
60. Hendrie, GA, Coveney, J & Cox, D (2008) Exploring nutrition knowledge and the demographic variation in knowledge levels in an Australian community sample. Public Health Nutr 11, 13651371.Google Scholar
61. Drewnowski, A & Rehm, CD (2015) Socioeconomic gradient in consumption of whole fruit and 100% fruit juice among US children and adults. Nutr J 14, 3.Google Scholar
62. IBISWorld (2016) Juice and Smoothie Bars in Australia: Market Research Report. http://www.ibisworld.com.au/industry/juice-and-smoothie-bars.html (accessed March 2016).Google Scholar
63. Hattersley, L, Irwin, M, King, L et al. (2009) Determinants and patterns of soft drink consumption in young adults: a qualitative analysis. Public Health Nutr 12, 18161822.Google Scholar
64. Hebden, L, O’Leary, F, Rangan, A et al. (2015) Fruit consumption and adiposity status in adults: a systematic review of current evidence. Crit Rev Food Sci Nutr 57, 25262540.Google Scholar
65. De-Regil, L, Fernández-Gaxiola, A, Dowswell, T et al. (2010) Effects and safety of periconceptional folate supplementation for preventing birth defects. Cochrane Database Syst Rev issue 10, CD007950.Google Scholar
66. Ramsay, SA, Rudley, M, Tonnemaker, LE et al. (2016) A comparison of college students’ reported fruit and vegetable liking and intake from childhood to adulthood. J Am Coll Nutr 36, 2837.Google Scholar
67. Block, K, Gibbs, L, Staiger, PK et al. (2012) Growing community the impact of the Stephanie Alexander Kitchen Garden Program on the social and learning environment in primary schools. Health Educ Behav 39, 419432.Google Scholar
68. Grech, A & Allman-Farinelli, M (2016) Prevalence and period trends of overweight and obesity in Australian young adults. Eur J Clin Nutr 70, 10831085.Google Scholar
69. Bertoia, M, Mukamal, KJ, Cahill, L et al. (2016) Changes in intake of fruits and vegetables and weight change in US men and women followed for up to 24 years: analysis from three prospective cohort studies. PLoS Med 13, e1001956.Google Scholar
70. Oyebode, O, Gordon-Dseagu, V, Walker, A et al. (2014) Fruit and vegetable consumption and all-cause, cancer and CVD mortality: analysis of Health Survey for England data. J Epidemiol Community Health 68, 856862.Google Scholar
71. Slimani, N, Ferrari, P, Ocke, M et al. (2000) Standardization of the 24-hour diet recall calibration method used in the European prospective investigation into cancer and nutrition (EPIC): general concepts and preliminary results. Eur J Clin Nutr 54, 900917.CrossRefGoogle ScholarPubMed
72. National Health and Medical Research Council (2015) National Statement on Ethical Conduct in Human Research, 2007 (Updated May 2015). Canberra, ACT: NHMRC.Google Scholar
Figure 0

Table 1 Characteristics of the sample of Australian young adults from the National Nutrition and Physical Activity Survey 2011–12 (n 2397)

Figure 1

Table 2 Proportions (%) of Australian young adults aged 18–34 years consuming vegetables, and the median intake and interquartile range ((IQR); 25th–75th percentile) per consumer (g/d), according to age, gender and BMI, National Nutrition and Physical Activity Survey 2011–12 (n 2397)

Figure 2

Table 3 Proportions (%) of Australian young adults aged 18–34 years consuming vegetables, and the median intake and interquartile range ((IQR); 25th–75th percentile) per consumer (g/d), according to Socio-Economic Index for Areas (SEIFA) and geographical location, National Nutrition and Physical Activity Survey 2011–12 (n 2397)

Figure 3

Table 4 Proportions (%) of Australian young adults aged 18–34 years consuming fruit, and the median intake and interquartile range ((IQR); 25th–75th percentile) per consumer (g/d), according to age, gender and BMI, National Nutrition and Physical Activity Survey 2011–12 (n 2397)

Figure 4

Table 5 Proportions (%) of Australian young adults aged 18–34 years consuming fruit, and the median intake and interquartile range ((IQR); 25th–75th percentile) per consumer (g/d), according to Socio-Economic Index for Areas (SEIFA) and geographical location, National Nutrition and Physical Activity Survey 2011–12 (n 2397)

Figure 5

Table 6 Proportions of Australian young adults aged 18–34 years consuming a low, medium and high variety of vegetable and fruit sub-categories, National Nutrition and Physical Activity Survey 2011–12 (n 2397)

Figure 6

Table 7 Proportions (%) of Australian young adults aged 18–34 years consuming vegetables and fruits per meal occasion (breakfast, lunch, dinner and snacks), grouped according to the number of servings consumed throughout the day, National Nutrition and Physical Activity Survey 2011–12 (n 2397)

Figure 7

Table 8 Linear regression results: factors associated with vegetable and fruit intake among Australian young adults aged 18–34 years, National Nutrition and Physical Activity Survey 2011–12 (n 2397)

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