An adequate consumption of fruit and vegetables provides a number of benefits for health. Previous studies have revealed that adequate fruit and vegetable consumption has protective effects against and/or may delay the onset of critical chronic and deteriorating diseases and conditions(Reference Hung, Joshipura, Jiang, Hu, Hunter, Smith-Warner, Colditz, Rosner, Spiegelman and Willett1–Reference Pomerleau, Lock and McKee8). This benefit results from the rich content of vitamins, minerals, fibre and phytochemicals in these food groups. Without doubt, low fruit and vegetable intake can lead to undesirable health outcomes. According to the 2002 WHO world health report, up to 2·7 million deaths annually are caused by low fruit and vegetable consumption(9).
Although the advantages of fruit and vegetable intake in sufficient amounts are recognized, people in both developed and developing countries still have inadequate fruit and vegetable intake(9, Reference Pomerleau, Lock, McKee and Altmann10). As indicated by National Nutrition Survey reports (1986 and 1995), the population in Thailand – like in other countries – consumes low amounts of fruit and vegetables(11, 12). However, their current patterns of fruit and vegetable consumption are mostly unknown.
As recommended in the WHO ‘fruit and vegetable promotion’ campaign launched in 2003, an individual should eat at least 5 servings or 400 g of fruit and vegetables daily(13). Several studies have reported the association of fruit and vegetable intake with sociodemographic factors(Reference Friel, Newell and Kelleher14–Reference Ball, Crawford and Mishra20); however, the results are inconsistent. This drew our attention to the questions of whether the frequencies and amounts of fruit and vegetables consumed by Thais differ from the current international recommendation; and whether meeting the recommended consumption is associated with sociodemographic characteristics. Therefore the objectives of the present study were to examine fruit and vegetable consumption and its recommended intake in association with sociodemographic factors among Thai adults. Regarding fruit and vegetable consumption, we assessed frequencies and amounts of fruit and vegetable consumed and estimated the percentage of Thais meeting the recommended intakes of fruit, vegetables and fruit plus vegetables.
Methods
Research design
The Thailand National Health Examination Survey III (NHESIII) is a nationally representative cross-sectional survey using multistage, stratified cluster sampling. Detailed methods are described elsewhere(Reference Aekplakorn, Abbott-Klafter, Premgamone, Dhanamun, Chaikittiporn, Chongsuvivatwong, Suwanprapisa, Chaipornsupaisan, Tiptaradol and Lim21). The final collected sample comprised 39 290 individuals, who were representative of Thai population aged 15 years and older. The study was approved by the Ethical Review Committee for Research in Human Subjects, Ministry of Public Health. All participants provided written informed consent.
Instrument
An interview questionnaire was designed and tested before the survey. It collected three types of information as follows.
1. Sociodemographic characteristics: questions covered information on participants’ gender, age, current marital status, highest education level attained, household monthly income, region and residential area.
2. Fruit and vegetable intake: a short semi-qualitative FFQ with four questions was carried out to assess the frequency (number of days per week) and amount (standard serving size) of fruit and vegetables consumed in one week over the past 12 months. One serving size of fruit was defined as 6–8 pieces of ripe papaya, water melon or pineapple, 1 banana, 1 tangerine, 4 rambutans, cup of no-added-sugar processed fruit, cup of canned fruit or cup of 100 % fruit juice. A serving of vegetables referred to cup of cooked leafy vegetables, 1 cup of raw green leafy vegetables, cup of tomato, carrot, pumpkin, cabbage, beans or white onion, or cup of 100 % vegetable juice.
3. Pictorial sheets: pictorial sheets consisted of (i) pictures of fruits and vegetables in one serving size and (ii) a picture of the standard measuring cup (1 cup = 240 ml).
Data collection
Data collection was conducted from January to April 2004 by trained research assistants.
The eligible participants in the selected households were invited to participate and interviewed. In collecting information on fruit and vegetable intake, the trained interviewers asked each participant to indicate frequencies and amounts of fruit and vegetables consumed and subsequently to clarify the information interviewed. Pictorial sheets were used as the aids to estimate serving size of fruits and vegetables eaten.
Statistical analyses
Data analyses were performed with the Stata/MP 9·2 for Windows statistical software package (StataCorp, College Station, TX, USA) to take into consideration the complex sampling design. Proper weighting variables transformed the data set into a nationally representative sample. Descriptive statistics were calculated to describe the participants’ characteristics, fruit and vegetable consumption, and their relationships. Due to the skewed distribution of data, non-parametric tests were carried out. Median differences among three or more subgroups of sociodemographic variables in fruit and vegetable consumption were assessed using the Kruskal–Wallis test. Then the Wilcoxon rank-sum test was conducted for post hoc comparisons.
In the present study, the total quantity of vegetables and/or fruits was calculated by multiplying the weekly frequency by the amount consumed and then dividing by 7 in order to give the number of daily intake servings. The daily recommended intake levels were at least 5 servings for fruit plus vegetables, 2 servings for fruit and 3 servings for vegetables. Multivariate logistic regression analysis with backward elimination for likelihood ratio was utilized to determine the associations of several sociodemographic factors with the three outcome variables in separate models (i.e. meeting recommended intake amounts of fruit, vegetables and both fruit and vegetables). The best-fit models with significant associated variables for each outcome are reported. Statistical outcomes were considered significant at P < 0·05.
Results
Sociodemographic characteristics
Of the 39 290 participants, 51·8 % were female. Average age in years was 39·13 (sd 0·18), 40·44 (sd 0·19) and 39·80 (sd 0·15) for males, females and the total sample, respectively. Almost 70 % were married. Two-thirds of participants graduated from an elementary school. Nearly two-thirds of them had household income lower than 10 000 Baht/month, with an average of 10 176 Baht/month. One-third resided in the central part of Thailand, followed by the north-east and the north. Over half lived in an urban area.
Fruit and vegetable consumption
Only 36·5 % of Thais consumed fruit daily, and 68·0 % consumed vegetables daily. The average number of days on which fruit and vegetables were eaten per week was 4·56 (sd 2·17, median 4·00) and 5·97 (sd 1·70, median 7·00), respectively.
Participants on average consumed 1·46, 1·78 and 3·24 daily servings of fruit, vegetables and fruit plus vegetables, respectively (Table 1). Women consumed significantly more fruit and fruit plus vegetables than did men. Fruit and vegetable intake seemed to decline with advancing age, but increased with educational level and monthly household income. Furthermore, average amounts of fruit and vegetable intake varied by marital status and region. Interestingly, participants dwelling in urban areas had significantly higher intakes of fruit and vegetables than did those in rural areas.
a,b,c,d,e,fMedian values within a column with unlike superscript letters were significantly different across each category of fruit, vegetable and fruit plus vegetable intake (P < 0·05).
Only 1/3, 1/4 and 1/4 of participants reached the minimum daily recommended intake levels for fruit, vegetables and fruit plus vegetables, respectively (Table 2). More women followed fruit and fruit plus vegetable intake recommendations than did men. The percentage of participants reaching the fruit and vegetable recommendations varied by region and residential area, and was lower among those with older age, lower educational level and monthly household income, and among married participants.
* Data are weighted to be representative of the Thai population.
Sociodemographic factors associated with fruit and vegetable consumption
Table 3 illustrates the sociodemographic factors associated with meeting the recommended intakes for fruit, vegetables and both. The most important factors for meeting the fruit intake recommendation were being female (OR = 1·46), having educational level of secondary and vocation school (OR = 1·42) and household income of ≥50 000 Baht/month (OR = 1·60). Significant sociodemographic characteristics associated with meeting the recommendation for vegetable consumption included household income of ≥50 000 Baht/month (OR = 1·45) and living in Bangkok (OR = 1·52). Furthermore, female gender (OR = 1·13) and household income of ≥50 000 Baht/month (OR = 1·66) were strongly related to recommended levels of fruit and vegetable consumption. As the age of the participants increased, the less likely they were to meet the recommended fruit and vegetable intake amounts.
ref, referent category.
*Final models of logistic regression.
Discussion
The present study reveals that the majority of Thai individuals consumed less fruit and vegetables daily than the recommended intake levels. Only 36·5 % and 68·0 % of Thais ate fruit and vegetables on a daily basis. Furthermore, average daily servings for fruit, vegetables and fruit plus vegetables were 1·46, 1·78 and 3·24, respectively. In comparison with data obtained from the National Nutrition Survey III (1986) and IV (1995)(11, 12), the current study shows that Thais have increased their fruit and vegetable intake slightly. From the National Nutrition Survey III, food intake data collected using the weighing method and 24 h dietary recall showed that Thais consumed 1·06, 1·33 and 2·40 servings daily for fruit, vegetables and fruit plus vegetables, respectively(11). The National Nutrition Survey IV reported only 0·96 servings for fruit, 1·42 for vegetables and 2·38 for fruit plus vegetables consumed each day(12).
When interpreting results, differences in dietary assessment methods may make a direct comparison of average intake amounts among studies problematic. We realize this problem and thereby give its inclusive picture as a trend in fruit and vegetable consumption. In the current study, a short FFQ was used for assessing the quantity of fruit and vegetables consumed daily on account of two main reasons: (i) it provides outcomes quite similar to those obtained from other different dietary assessment methods(Reference Serdula, Coates and Byers22, Reference Andersen, Johansson and Solvoll23); and (ii) this method can easily and appropriately be used for dietary assessment of a very large population group.
Diversities in the median amounts and percentage of individuals meeting recommendations for fruit, vegetable and fruit plus vegetable intakes are explained by sociodemographic characteristics. Consistent with previous studies, we found that gender significantly affected the intakes of fruit and vegetables(Reference Friel, Newell and Kelleher14–Reference O’Brien, Kiely, Galvin and Flynn18). Women are likely to eat more fruit than men(Reference Friel, Newell and Kelleher14–Reference O’Brien, Kiely, Galvin and Flynn18). For vegetable intake, however, the present findings are inconsistent with others(Reference Friel, Newell and Kelleher14–Reference Thompson, Margetts, Speller and McVey16), which found that women had higher intakes of vegetables compared with men. Possibly, women have a greater health concern than men(Reference Li, Serdula, Bland, Mokdad, Bowman and Nelson17). In contrast with O’Brien et al.(Reference O’Brien, Kiely, Galvin and Flynn18), who evaluated the compliance with dietary guidelines for vegetable and fruit intake in Irish adults, the mean intake of vegetables among male respondents of the present survey was higher than that among females, 149 v. 132 g/d, respectively. This may be due to the fact that men eat food in larger quantities. As in Giskes et al.’s study(Reference Giskes, Turrell, Patterson and Newman19), our data showed that women and men consumed similar amounts of vegetables. Analysed outcomes also revealed that being female is one of the significant factors for complying with the recommended levels of fruit (OR = 1·46) and fruit plus vegetable (OR = 1·13) intake.
Studies conducted by Thompson et al.(Reference Thompson, Margetts, Speller and McVey16) and Ball et al.(Reference Ball, Crawford and Mishra20) revealed an increasing trend of fruit and vegetable intake with advancing age. On the contrary, our findings indicated that older age groups were more likely to consume lesser amounts of fruit, vegetables and fruit plus vegetables than younger age groups. Natural deteriorating changes as one gets older and health conditions may be important causes of the low consumption of fruit and vegetables. These may reflect difficulty in reaching fruit and vegetable sources, reduction of appetite for food, or inconvenience in preparing food. In relation to marital status, those who were single tended to consume larger amounts of fruit and vegetable than those who were married or widow/divorced/separated. These findings are inconsistent with those of Friel et al.(Reference Friel, Newell and Kelleher14), in which the largest amounts of fruit and vegetables were consumed by married individuals. The explanation for our results may be indirectly related to the age of the participants. More than half of our single participants were in the younger age group, 15–29 years, while ∼53 % of married and ∼70 % of widow/divorced/separated participants were in the age groups of 45–69 and 60–79 years, respectively. The needs for foods and nutrients in the young are higher. Moreover, this younger group may be able to access fruit and vegetables with fewer barriers. Even though the amounts of fruit and vegetable intake varied by marital status, marital status by itself was not an independent predictor of fruit and vegetable intake in our study.
Our data also support earlier findings(Reference Friel, Newell and Kelleher14, Reference Shohaimi, Welch, Bingham, Luben, Day, Wareham and Khaw15, Reference O’Brien, Kiely, Galvin and Flynn18–Reference Ball, Crawford and Mishra20) that fruit and vegetable consumption increases with educational level and monthly household income. In addition, we found a strong independent effect of household income on fruit, vegetable and fruit plus vegetable intake. However, educational level attained was a significant factor merely for fruit intake. Interestingly, location of dwelling – either region or residential area – was related to fruit and vegetable intake. Participants who lived in Bangkok or an urban area ate larger amounts of fruit and vegetables compared with those dwelling in other regions or rural areas. One possible rationalization is associated with the marketing system. The majority of fruit and vegetables are cultivated in rural areas of Thailand. Nevertheless, most of them are transported into the markets of big cities. Consequently, availability, accessibility and variety of fruit and vegetables are higher in the big cities. However, other potential factors causing differences in fruit and vegetable consumption among regions require further investigation.
Our study contains both strengths and limitations. Among its strengths, a stratified multistage cluster probability sampling was used to acquire population-based participants distributed across various sociodemographic categories. Moreover, collected data were then weighted by gender and age group using the Census-based population estimates for 2003 as the reference year for the panel. Therefore, the sample is consequently representative of the Thai population. Furthermore, our sample size is quite large and hence the findings are generalizable to the whole population.
Limitations should also be stated. First, the findings are based on a short form of dietary assessment. Although types of fruit and vegetable (i.e. canned or processed fruit or vegetable) were asked, only pictures of whole fruits and vegetables were illustrated. Details about the type and variety of fruits and vegetables typically consumed by this population are therefore unknown. Second, even if it is useful to assess the eating habits among the large sample group, the short FFQ used, combined with pictorial sheets of only one serving size of fruits and vegetables, may cause the under- or overestimation of intake. However, this dietary assessment tool was validated in a sample group which had the same characteristics as the participants. A third limitation is related to self-report. Reliability and validity of self-reported information commonly depend on participants’ honesty. Another limitation involved the study design. A cross-sectional design was applied in our study wherein data were collected at only one point in time, so no inferences can be made regarding the chronological sequence of the associations observed here.
Multiple public health benefits of the fruit and vegetable intake recommendation are obvious. However, inadequate fruit and vegetable intake has been found in the majority of Thais. Additional efforts are thus necessary to improve fruit and vegetable consumption, especially for those with advanced age. Effective new strategies and campaigns for promoting fruit and vegetable intake are required. Future research should scrutinize the influence of lifestyle, regions and health-related behaviour differences on fruit and vegetable consumption.
Acknowledgements
The current study was funded by the Health Systems Research Institute of Thailand. There are no conflicts of interest. W.S. contributed to the completed data analyses, writing of the first draft of the manuscript and revision of the manuscript. W.A. and M.P. contributed to the design of the study, data analyses and revision of the manuscript. All authors were involved in the development of the manuscript and approved the final version. NHESIII was supported by the Bureau of Policy and Strategy, Ministry of Public Health and conducted by the Health Systems Research Institute, Thailand. The authors express their sincere gratitude to all participants for their contribution and the NHESIII researcher team whose cooperation made the study possible. Finally, the authors wish to thank Professor Amnuay Thithapandha for his kind help with the English editing of the manuscript.