Hostname: page-component-cd9895bd7-gxg78 Total loading time: 0 Render date: 2024-12-26T03:55:13.313Z Has data issue: false hasContentIssue false

Knowledge and beliefs about dietary inorganic nitrate in a representative sample of adults from the United Kingdom

Published online by Cambridge University Press:  28 October 2024

Alex Griffiths
Affiliation:
School of Health, Leeds Beckett University, Leeds, UK
Evie Grainger
Affiliation:
Human Nutrition & Exercise Research Centre, Centre for Healthier Lives, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne NE2 4HH, UK
Jamie Matu
Affiliation:
School of Health, Leeds Beckett University, Leeds, UK
Shatha Alhulaefi
Affiliation:
Human Nutrition & Exercise Research Centre, Centre for Healthier Lives, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne NE2 4HH, UK
Eleanor Whyte
Affiliation:
Freeman Hospital, Newcastle upon Tyne, UK
Eleanor Hayes
Affiliation:
Human Nutrition & Exercise Research Centre, Centre for Healthier Lives, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne NE2 4HH, UK
Kirsten Brandt
Affiliation:
Human Nutrition & Exercise Research Centre, Centre for Healthier Lives, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne NE2 4HH, UK
John C Mathers
Affiliation:
Human Nutrition & Exercise Research Centre, Centre for Healthier Lives, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne NE2 4HH, UK
Mario Siervo
Affiliation:
Curtin School of Population Health, Curtin University, Perth, Australia Curtin Dementia Centre of Excellence, Enable Institute, Curtin University, Perth, Australia
Oliver M Shannon*
Affiliation:
Human Nutrition & Exercise Research Centre, Centre for Healthier Lives, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne NE2 4HH, UK
*
Corresponding author: Oliver M Shannon; Email: oliver.shannon@newcastle.ac.uk
Rights & Permissions [Opens in a new window]

Abstract

Objective:

Evaluate knowledge and beliefs about dietary nitrate among United Kingdom (UK)-based adults.

Design:

An online questionnaire was administered to evaluate knowledge and beliefs about dietary nitrate. Overall knowledge of dietary nitrate was quantified using a twenty-one-point Nitrate Knowledge Index. Responses were compared between socio-demographic groups.

Setting:

UK.

Participants:

A nationally representative sample of 300 adults.

Results:

Only 19 % of participants had heard of dietary nitrate prior to completing the questionnaire. Most participants (∼70 %) were unsure about the effects of dietary nitrate on health parameters (e.g. blood pressure, cognitive function and cancer risk) or exercise performance. Most participants were unsure of the average population intake (78 %) and acceptable daily intake (83 %) of nitrate. Knowledge of dietary sources of nitrate was generally low, with only ∼30 % of participants correctly identifying foods with higher or lower nitrate contents. Almost none of the participants had deliberately purchased, or avoided purchasing, a food based around its nitrate content. Nitrate Knowledge Index scores were generally low (median (interquartile range (IQR)): 5 (8)), but were significantly higher in individuals who were currently employed v. unemployed (median (IQR): 5 (7) v. 4 (7); P < 0·001), in those with previous nutrition education v. no nutrition education (median (IQR): 6 (7) v. 4 (8); P = 0·012) and in individuals who had heard of nitrate prior to completing the questionnaire v. those who had not (median (IQR): 9 (8) v. 4 (7); P < 0·001).

Conclusions:

This study demonstrates low knowledge around dietary nitrate in UK-based adults. Greater education around dietary nitrate may be valuable to help individuals make more informed decisions about their consumption of this compound.

Type
Research Paper
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of The Nutrition Society

Dietary inorganic nitrate is a water-soluble ion found in both plant- and animal-based foods(Reference Hord, Tang and Bryan1,Reference Blekkenhorst, Prince and Ward2) . The prime exogenous source of dietary nitrate is vegetables, especially green leafy vegetables and beetroot. However, smaller amounts are also found in processed meat (in which nitrate is used as a preservative), certain fruits, legumes, herbs and water(Reference Hord, Tang and Bryan1,Reference Blekkenhorst, Prince and Ward2) . Additionally, in recent years, specifically formulated nitrate-containing supplements (e.g. nitrate-rich gels and concentrated beetroot juice ‘shots’) have become commercially available for individuals seeking to increase their intake of dietary nitrate above levels achieved through habitual diet alone(Reference Griffiths, Alhulaefi and Hayes3,Reference Shannon, Easton and Shepherd4) .

Historically, dietary nitrate was considered to be an unwanted food contaminant with potentially deleterious health effects(Reference Benjamin5). In particular, higher intake of dietary nitrate was viewed as a risk factor for development of certain cancers and infant methemoglobinaemia, which led to recommendations by public health bodies, including the WHO, to limit intake of this compound(6,7) . However, with emerging evidence, a new perspective has begun to emerge which suggests that increased intake of nitrate may confer certain health benefits(Reference Shannon, Easton and Shepherd4,Reference Lundberg, Weitzberg and Gladwin8,Reference Lundberg, Gladwin and Ahluwalia9) . Indeed, it has now been demonstrated that consumption of dietary nitrate in the form of vegetables or vegetable-derived products can improve markers of cardiovascular (e.g. reduced blood pressure and improved endothelial function)(Reference Jackson, Patterson and MacDonald-Wicks10Reference Siervo, Scialò and Shannon15), brain (e.g. improved cognitive function and modulated cerebral blood flow)(Reference Shannon, Gregory and Siervo16Reference Siervo, Babateen and Alharbi20) and oral (e.g. modified oral microbiome and increased resilience against oral acidification) health(Reference Vanhatalo, L’Heureux and Kelly21Reference Alhulaefi, Watson and Ramsay24). Similarly, nitrate has been shown to improve exercise capacity or performance across a range of population groups(Reference Shannon, Allen and Bescos25Reference Jones27), making it a popular ergogenic aid amongst athletes(Reference Griffiths, Alhulaefi and Hayes3,Reference Jonvik, Nyakayiru and Van Dijk28) .

Research interest in dietary nitrate has increased exponentially in recent years, and in 2019, we demonstrated moderate knowledge of dietary nitrate amongst nutrition professionals, which was greatest in those possessing a PhD (Doctor of Philosophy), indicating some dissemination of nitrate-based knowledge and contemporary research findings amongst nutrition professionals(Reference Shannon, Grisotto and Babateen29). In that study, most nutrition professionals had previously heard of dietary nitrate and believed that it was primarily beneficial, with perceived benefits including improved sports performance and reduced blood pressure. Nutrition professionals also showed good knowledge of dietary sources of nitrate and factors influencing its content in food (e.g. growing conditions and cooking). However, there was limited knowledge in this group about the average population intake and the acceptable daily intake of nitrate.

Presently, there is no information around knowledge or beliefs about dietary nitrate in the general population. It is possible that the general population may have some knowledge about dietary nitrate due to (both positive and negative) media coverage of this compound. Certain population sub-groups, such as recreational or competitive athletes, might also be particularly aware of nitrate given its increasing use in sporting circles as an ergogenic aid(Reference Shannon, Allen and Bescos25).

Knowledge and beliefs are important contributors towards behaviour. According to Social Cognitive Theory(Reference Bandura30), an individual’s behaviour - in this instance, consumption of dietary nitrate - is influenced by personal factors, an individual’s environment, and their behaviour, with these three factors interacting dynamically and reciprocally(Reference Bandura31). Knowledge and beliefs about dietary nitrate could influence an individual’s personal cognitive factors, such as their self-efficacy (i.e. their belief that they can successfully perform a behaviour, such as increasing or decreasing their intake of nitrate-rich foods) and outcome expectations (i.e. the health effects that they expect to occur with consumption of dietary nitrate). A range of environmental factors, including access to information about dietary nitrate, local availability of foods containing nitrate, and community attitudes and behaviours could also influence knowledge and beliefs about nitrate and impact consumption of this compound. A better understanding of knowledge and beliefs about dietary nitrate could therefore be useful in designing interventions which target these factors and consequently influence dietary nitrate intake. For example, identifying gaps in knowledge or misconceptions about dietary nitrate could help to design educational interventions which enhance self-efficacy (e.g. by giving individuals the knowledge and skills needed to adjust their dietary nitrate intake) and influence outcome expectations (e.g. by providing accurate information on the health effects of consuming nitrate-rich foods)(Reference Doerksen and McAuley32). Additionally, by exploring what different population sub-groups know and believe about dietary nitrate, it may be possible to personalise these strategies to better meet the needs of different groups. Further benefits of exploring knowledge and beliefs about dietary nitrate include providing information which could be of value to manufacturers and retailers by helping understand whether knowledge and beliefs about dietary nitrate impact purchasing behaviour. In addition, this information could serve as a reference point against which nitrate knowledge and beliefs in the public could be tracked over time or compared against other population groups (e.g. different countries or athletes or clinical populations). Therefore, in this study we aimed to characterise knowledge and beliefs about dietary nitrate in a representative sample of UK adults. We also aimed to identify potential differences in knowledge and beliefs and between different population sub-groups. Our findings are likely to be relevant to researchers, policy makers, public health officials, and food manufacturers or retailers.

Methods

Questionnaire development and administration

We used a modified version of the Knowledge of Inorganic Nitrate Dietary Survey (KINDS) questionnaire(Reference Shannon, Grisotto and Babateen29) to characterise knowledge and beliefs about dietary nitrate in the public. This questionnaire was previously developed by our group to evaluate knowledge and beliefs about dietary nitrate amongst nutrition professionals. Modifications were made to ensure appropriateness of language for a non-academic audience, removal of questions regarding biomarkers, metabolic processes and modification of guidelines limiting nitrate intake and the inclusion of questions related to purchasing behaviour. The questionnaire was pilot tested with members of the public to ensure comprehensibility, and modifications were made to the wording and order of questions accordingly. The final questionnaire was sectioned into three parts: (1) demographics (Table 1), (2) knowledge and beliefs (Table 2) and (3) purchasing behaviours (Table 3). Sub-categorising the questionnaire was advocated by participants involved in the pilot testing to improve readability and understanding. A final version of the questionnaire was built using an online survey tool (Online Surveys, Bristol, UK). The questionnaire was administered to a nationally representative sample of 300 participants (matched to the adult (>18 years) UK population regarding age, gender and ethnicity) in December 2022, via Prolific, an online crowd-sourcing platform that provides access to a pool of potential research participants (see(Reference Peer, Brandimarte and Samat33) for further details). Participants were given modest remuneration (£1·20) for their time, calculated to approximate a living wage (∼£10/h) on a pro-rata basis.

Table 1. Participant characteristics

Percentages for numbers > 1 are rounded to the nearest whole number.

Table 2. Knowledge and beliefs in the overall cohort

Questions contributing towards the nitrate knowledge index, alongside the answer deemed to be the correct response, are identified in italics.

Table 3. Purchasing behaviour in the overall cohort

Calculation of nitrate knowledge index

Similar to our previous research within nutrition professionals(Reference Shannon, Grisotto and Babateen29), a twenty-one-point index was derived to provide a quantitative measure of overall knowledge about dietary nitrate. We identified questions where there was unambiguous evidence for a correct answer. In such cases, participants were awarded one point for correct responses and zero points for incorrect responses (italicised in Table 2). Questions where current evidence is inconclusive or for which no correct response is available were excluded from the Index. Data from recent reviews and an expert consensus statement on nitrate informed decision making on correct or incorrect responses(Reference Shannon, Easton and Shepherd4,Reference Jackson, Patterson and MacDonald-Wicks10,Reference Shannon, Allen and Bescos25,Reference McMahon, Leveritt and Pavey34,Reference Lundberg, Carlström and Weitzberg35) .

Statistical analysis

Data analyses were conducted using the Statistical Package for the Social Sciences (SPSS) version 28, whilst figures were created using GraphPad Prism. Differences in knowledge and beliefs about dietary nitrate between different population sub-groups were compared using the χ 2 test, whilst the Mann–Whitney U test was used to compare scores on the Nitrate Knowledge Index between population sub-groups. These population sub-groups were defined by age (younger (< 40 years) v. older (≥ 40 years)), gender (male v. female), ethnicity (white v. other), education level (lower (GCSE, A Level, vocational, other) v. higher (undergraduate degree, Master’s degree or PhD)), employment status (employed and self-employed v. other), household income (lower (< £35 700) v. higher (≥ £35 700)), BMI (BMI; < 25 kg/m2 v. ≥ 25 kg/m2), exercise level (lower (do not exercise) v. higher (other)), level of nutrition education (lower (no nutrition education, unsure and other) v. higher (secondary school level of nutrition education and above)), and whether participants had previously heard of nitrate (heard of nitrate v. have not heard of nitrate). P < 0·05 was accepted for statistical significance. Raw data are available in an online repository (https://data.ncl.ac.uk/) and can be accessed by contacting the authors.

Results

Participant characteristics

A total of 300 participants completed the questionnaire (Table 1). There was a similar percentage of male (49 %) and female (50 %) participants within the study, distributed across all geographical areas of the UK. Participants were mostly white (84 %), the most common age group was 21–40 years (41 %) and the most common BMI range was18·5–24·9 kg/m2 (47 %). Most commonly, participants reported exercising 1–2 (34 %) or 3–5 (34 %) times per week. An undergraduate degree was the most common qualification held (34 %). The participants reported mixed levels of nutrition education, with around half reporting no nutrition education (49 %) and a third (33 %) reporting only basic nutrition education at secondary school.

Overall knowledge and beliefs about dietary nitrate

An overview of participant responses is provided in Tables 2 and 3. Overall, only 19 % of participants had heard of dietary nitrate prior to completing the questionnaire, compared with 66 % who had not heard of nitrate and 15 % who were unsure if they had heard of nitrate before.

Health effects of nitrate

Participants were generally unsure as to whether dietary nitrate from vegetables (74 %) or as a food additive (67 %) would affect human health. Similarly, most of the participants were unsure as to whether dietary nitrate from vegetables or used as a food additive would affect sports performance (vegetables: 65 % unsure, food additive: 66 % unsure), blood pressure (vegetables: 64 % unsure, food additive: 63 % unsure), glucose levels (vegetables: 74 % unsure, food additive: 72 % unsure), lung function (vegetables: 73 % unsure, food additive: 75 % unsure), cancer risk (vegetables: 69 % unsure, food additive: 66 % unsure), cognitive function (vegetables: 74 % unsure, food additive: 74 % unsure) and kidney function (vegetables: 75 % unsure, food additive: 77 % unsure).

Nitrate sources and acceptable daily intake

Knowledge around dietary nitrate intake was typically poor. Most participants (76 %) were unsure of the average population intake of dietary nitrate and the nitrate acceptable daily intake (83 %). Knowledge of dietary sources of nitrate was generally poor, with ∼20–30 % of participants correctly identifying spinach, beetroot, lettuce and radish as high in nitrate and ∼20–30 % of participants correctly identifying sausage, tomato, chocolate and bacon as low in nitrate. Around half of the participants were aware that the dietary nitrate content of food is influenced by cooking (46 %), soil conditions (49 %) and fertiliser (54 %), but a smaller percentage were aware of the influence of season it was produced in (22 %), how it was stored (29 %) and if the food was pickled (28 %). Participants were mostly unsure as to whether drinking water contains dietary nitrate (58 %) and whether the use of mouthwash would influence the effects of dietary nitrate (73 %).

Purchasing behaviour

Most participants had not chosen (95 %) to purchase foods because they contained dietary nitrate. Similarly, most participants had not avoided (90 %) purchasing foods because they contained nitrate and had not consumed supplements to increase their intake of dietary nitrate (94 %). Around half of all participants reported that they would be likely or very likely to purchase a supplement containing dietary nitrate if scientific evidence demonstrated it could improve cardiovascular health (50 %), cognition (59 %) and metabolic health (51 %), but a smaller percentage were likely or very likely to purchase a nitrate-containing supplement to improve exercise performance (30 %). Participants reported that they were more likely or much more likely to purchase a supplement containing dietary nitrate if it came from a vegetable rather than other sources (49 %), whereas they were generally neutral with regard to whether they would purchase a vegetable (44 %) or processed meat products (34 %) which were deliberately produced to have a high dietary nitrate content. Interestingly, most participants reported that they would rather increase their intake of dietary nitrate via consumption of nitrate-rich foods (62 %) rather than supplements (16 %). Responses were more varied in relation to consuming nitrate prior to exercise, with 37 % and 31 % of participants preferring to increase dietary nitrate intake via food and supplements, respectively. There was a willingness to learn about the impact of dietary nitrate on health, with 49 % of participants stating they would like to know more.

Differences in knowledge and beliefs in different population groups

There were some significant differences in knowledge and beliefs about dietary nitrate between different participant sub-groups, which are highlighted below and in online Supplementary Table 1. However, most participants (regardless of population sub-group) responded ‘unsure’ to the majority of questions.

Age

Knowledge and beliefs around the health effects of dietary nitrate consumption as a food additive differed according to age. Specifically, participants aged ≥ 40 years were more likely to believe that nitrate provided as a food additive is harmful compared with those < 40 years (25 % v. 9 %; P = 0·002). Those aged ≥ 40 years were also more likely to perceive excess consumption of dietary nitrate as a food additive as harmful, compared with those < 40 years (39 % v. 21 %; P = 0·004). Beliefs around the physiological effects of dietary nitrate consumption were generally consistent between older and younger adults, although participants aged ≥ 40 years were more likely to believe that nitrate intake from vegetables increased cancer risk (≥ 40 years: 17 %, < 40 years: 11 %, P = 0·006). A larger proportion of those aged ≥ 40 years believed that the way in which food was stored could influence its nitrate content compared with those aged < 40 years (33 % v. 25 %; P = 0·02).

With regard to purchasing behaviour, a greater percentage of participants aged ≥ 40 years compared with < 40 years had not specifically chosen a food to increase dietary nitrate intake (98 % v. 91 %; P = 0·008). Similarly, those aged ≥ 40 years were marginally more likely to have avoided a specific food because it contains dietary nitrate than those aged < 40 years (7 % v. 2 %; P = 0·019). A greater percentage of participants aged ≥ 40 years had not taken a supplement to increase dietary nitrate compared with those aged < 40 years (97 % v. 90 %; P = 0·03). Interestingly, participants aged < 40 years were more likely to state that they would rather increase their dietary nitrate intake prior to exercise or competition via a supplement (43 % v. 22 %; P < 0·001), whereas participants aged ≥ 40 years had a greater preference to consume whole foods to increase their nitrate intake prior to exercise compared with those < 40 years (44 % v. 26 %).

Gender

A greater proportion of male compared with female participants believed that the effects of dietary nitrate on health differ depending on the type of food it is in (7 % v. 1 %; P = 0·012). Beliefs around the physiological effects of dietary nitrate consumption were generally consistent between those of different genders, although males were more likely than females to believe that dietary nitrate consumption as a food additive increased exercise performance (17 % v. 7 %; P = 0·038). A greater proportion of male participants believed that the use of antibacterial mouthwash would influence the effects of dietary nitrate compared with female participants (4 % v. 0 %; P = 0·041). Male participants were more likely or much more likely than female participants to purchase a nutritional supplement containing dietary nitrate to improve exercise performance (36 % v. 24 %; P < 0·001) and were also more likely or much more likely to purchase a vegetable which was deliberately produced to have a high nitrate content (19 % v. 9 %; P = 0·024).

Ethnicity

Beliefs around the physiological effects of dietary nitrate from vegetables were generally consistent between those of different ethnicities. However, a greater percentage of participants from ethnic minority groups believed that dietary nitrate from vegetables either had either no effect on cancer risk (19 % v. 7 %) or decreased risk (13 % v. 7 %; P = 0·016) compared with those of white ethnicity. A larger percentage of participants from ethnic minority groups compared with white ethnicity perceived dietary nitrate as a food additive to decrease sports performance (21 % v. 7 %; P = 0·016), increase blood pressure (36 % v. 19 %; P = 0·051) and increase glucose levels (28 % v. 12 %; P = 0·043). Participants from ethnic minority groups also showed some indications of better knowledge about nitrate on specific questions, compared with white participants. For example, a greater percentage of participants from ethnic minority groups minority compared with white participants were aware that lettuce is high in nitrate (32 % v. 16 %; P = 0·008) and correctly identified the nitrate content of drinking water (26 % v. 9 %; P = 0·009). Participants from ethnic minority groups were also more likely than those of white ethnicity to want to learn more about the impact of dietary nitrate on health (68 % v. 45 %; P = 0·037).

Education

A greater proportion of participants with higher compared with lower-level educational qualifications believed that the effects of dietary nitrate on health did not differ depending on the type of food it is in (4 % v. 0 %; P = 0·039). Beliefs around the physiological effects of dietary nitrate consumption were generally consistent between those with different qualifications, although participants with a higher-level qualification were more likely than those with a lower-level qualification to believe that dietary nitrate consumption via a food additive increased cognitive function (12 % v. 6 %; P = 0·036).

Employment status

There was a greater percentage of employed compared with non-employed participants who believed that spinach (41 % v. 23 %; P = 0·006), tomato (24 % v. 10 %; P = 0·01), beetroot (38 % v. 21 %; P = 0·008) and radish (28 % v. 14 %; P = 0·015) are high in nitrate, and that bacon is low in nitrate (27 % v. 13 %; P = 0·01). A greater percentage of employed compared with non-employed participants believed that antibacterial mouthwash does not impact the effects of dietary nitrate in the body (31 % v. 15 %; P = 0·008). A greater percentage of employed compared with non-employed participants stated that they would rather use a dietary supplement to increase their nitrate intake prior to exercise (34 % v. 25 %; P = 0·034).

Income

Participants with higher compared with lower income were more likely to want to use a dietary supplement to increase their nitrate intake prior to exercise (36 % v. 25 %), whereas those with a lower income were more likely to want to consume food to increase dietary nitrate prior to exercise or competition (46 % v. 28 %; P = 0·002).

BMI

Beliefs around the physiological effects of dietary nitrate consumption were generally consistent between those with different BMI, although those with a BMI < 25 kg/m2 compared with a BMI ≥ 25 kg/m2 were more likely to believe that dietary nitrate intake from vegetables (18 % v. 6 %; P = 0·008) and as a food additive (28 % v. 14 %; P = 0·031) increases blood pressure.

Exercise level

A greater percentage of those engaging in exercise compared with no exercise perceived spinach to be high in nitrate (38 % v. 25 %; P = 0·01). A greater percentage of participants not engaging compared with engaging in exercise perceived no effect of cooking (17 % v. 6 %; P = 0·005) or season (29 % v. 19 %; P = 0·046) on the nitrate content of food. Those who engage in exercise were more likely to want to learn more about dietary nitrate than those who do not (54 % v. 36 %; P = 0·035).

Nutrition education

Those with a higher compared with lower level of nutrition education were more likely to have heard of dietary nitrate (27 % v. 13 %; P = 0·002). A greater percentage of participants with a higher compared with lower level of nutrition education believed that dietary nitrate from vegetables increases sports performance (28 % v. 16 %; P = 0·047) and cognitive function (23 % v. 10 %; P = 0·02), and that dietary nitrate as a food additive increases cognitive function (14 % v. 5 %; P = 0·018). A greater percentage of participants with a higher compared with lower level of nutrition education perceive soil content to influence the nitrate content of foods (53 % v. 45 %; P = 0·007).

Prior knowledge of nitrate

Knowledge or awareness of nitrate prior to undertaking this survey had the biggest impact on responses to the questionnaire. Participants who had heard of nitrate prior to undertaking this survey were more likely (than those who had not heard of nitrate) to believe that the health effects of nitrate differ depending upon the type of food it is in (14 % v. 2 %; P < 0·001), believing that nitrate from vegetables is beneficial for health (45 % v. 14 %; P < 0·001), but that consumption of nitrate as a food additive is harmful for health (40 % v. 10 %; P < 0·001) (for beliefs about on individual health outcomes, see online Supplementary Table 1). Participants who had heard of nitrate were generally (although not always) better at identifying foods with higher and lower nitrate content. These individuals were also more likely to believe that the nitrate content of food could be influenced by whether it had been cooked (55 % v. 45 %; P = 0·031), the soil conditions (71 % v. 42 %; P < 0·001), use of fertiliser (74 % v. 51 %; P = 0·001), how it is stored (41 % v. 26 %; P = 0·008) and if the food is pickled (40 % v. 24 %; P = 0·019).

Participants who had heard of nitrate were more likely to correctly identify that drinking water typically contains < 50 mg/l nitrate (26 % v. 8 %; P < 0·001). Participants who had heard of nitrate more commonly stated that they were ‘very likely’ to purchase a supplement containing nitrate if scientific evidence that it could improve cardiovascular health was approved for marketing (21 % v. 11 %; P = 0·042) and that they were ‘much more likely’ to purchase a supplement where the nitrate came from vegetable sources (26 % v. 9 %; P = 0·007). Similarly, participants who had heard of nitrate more commonly stated that they were ‘less likely’ to purchase a vegetable deliberately produced to have a high nitrate content (17 % v. 8 %; P = 0·024) and ‘more likely’ to purchase a meat product produced without nitrate (29 % v. 9 %; P < 0·001) than those who had not heard of nitrate. Sub-group analyses (analyses by participant characteristics) were run separately in participants who had or had not heard of nitrate as exploratory analyses and are presented in online Supplementary Table 1.

Nitrate knowledge index

Overall knowledge about dietary nitrate was quantified using a Nitrate Knowledge Index. In the entire cohort, the median (interquartile range; IQR) score for the Nitrate Knowledge Index was 5 (8) out of a possible twenty-one points. Knowledge Index stratified by participants demographics is presented in Fig. 1. There were no significant associations between age (P = 0·558), gender (P = 0·558), ethnicity (P = 0·52), level of qualification (P = 0·978), income (P = 0·535), BMI (P = 0·246) or exercise (P = 0·377) and the Nitrate Knowledge Index. However, there was a significant association between employment status and the Nitrate Knowledge Index, with those in employment achieving a higher score compared with those not in employment (Nitrate Knowledge Index (median (IQR)): 5 (7) v. 4 (7); P = 0·0007). Nutrition education was also significantly associated with the Nitrate Knowledge Index score, with those with a higher nutrition education achieving a higher score than those with a lower nutrition education (Nitrate Knowledge Index (median (IQR)): 6 (7) v. 4 (8); P = 0·012). In addition, participants who had previously heard of nitrate before completing the questionnaire had significantly higher Nitrate Knowledge Index scores than those who had not previously heard of nitrate (median (IQR): 9 (8) v. 4 (7); P < 0·001).

Fig. 1 Nitrate Knowledge Index scores in different sociodemographic groups. Analyses were stratified by age (panel A; younger (< 40 years) v. older (≥ 40 years)), gender (panel B; male v. female), ethnicity (panel C; white v. other), education level (panel D; lower (GCSE, A Level, vocational, other) v. higher (undergraduate degree, Master’s degree or PhD)), employment status (panel E; employed and self-employed v. other), household income (panel F; lower (<£35 700) v. higher (≥£35 700)), BMI (panel G; <25 kg/m2 v. ≥25 kg/m2), exercise level (panel H; lower (do not exercise) v. higher (other)), level of nutrition education (panel I; lower (no nutrition education, unsure and other) v. higher (secondary school level of nutrition education and above)), and prior knowledge of nitrate (panel J; had not heard of nitrate v. heard of nitrate). Data presented are median (IQR). * = significant difference (P < 0·05) between groups. Individuals who were employed, with higher nutrition education, and who had heard of nitrate prior to completing the questionnaire showed significantly greater knowledge of dietary nitrate IQR, interquartile range.

Discussion

In this study, we set out to evaluate knowledge and beliefs about dietary inorganic nitrate in a representative sample of adults from the UK. We found that knowledge of dietary nitrate was generally poor, with only one fifth of the participants having heard of this compound prior to completing the questionnaire. In comparison, in a previous study from our group evaluating knowledge and beliefs about dietary nitrate amongst 125 UK-based nutrition professionals, > 70 % of participants had previously heard of dietary nitrate(Reference Shannon, Grisotto and Babateen29). We evaluated overall knowledge about dietary nitrate via a twenty-one-point Nitrate Knowledge Index. Median score for the Knowledge Index was five out of twenty-one in the entire cohort, reflecting typically poor knowledge about this compound. In comparison, in our previous study in nutrition professionals in which nitrate knowledge was evaluated via a twenty-three-point Index (the higher total score available was due to the addition of two questions related to metabolism of nitrate, which was not considered to be relevant in this investigation), the group median score was 12.

In the current study, a minority of participants were able to correctly identify health effects associated with nitrate. Indeed, there appeared to be a general inability to distinguish between scientifically proven effects of nitrate (e.g. blood pressure reduction(Reference Jackson, Patterson and MacDonald-Wicks10,Reference Siervo, Shannon and Kandhari14,Reference Larsen, Ekblom and Sahlin36) or improved exercise performance(Reference Shannon, Allen and Bescos25Reference Jones27)) and other physiological effects with limited or no supporting evidence (e.g. lung or kidney function). This suggests poor dissemination of current nitrate-related knowledge outside of scientific communities. Only around one-third of participants were able to correctly identify foods with a higher or lower dietary nitrate content and therefore would struggle to make informed decisions about the purchase of foods containing this compound. A larger percentage of participants (∼50 %) were able to correctly identify some factors impacting the nitrate content of food (e.g. cooking, soil conditions and and use of fertiliser). However, this could reflect general knowledge of factors the impact the nutritional properties of food, rather than knowledge specific to nitrate. In contrast, in our previous study in nutrition professionals, knowledge about the physiological effects of nitrate, food sources of this compound and factors affecting its content was much greater (typically ∼50 % of nutrition professionals gave correct responses for questions on these factors).

Previous research suggests that overall nutritional knowledge in both students(Reference Belogianni, Ooms and Lykou37) and adults(Reference Parmenter, Waller and Wardle38,Reference Buttriss39) in the UK population is typically low, which mirrors the findings seen here for a specific nutritional compound dietary nitrate. There is some previous evidence to suggest variations in overall nutritional knowledge between different socio-demographic groups, with men typically having lower nutritional knowledge than women and individuals with lower education levels or a lower socio-economic status also possessing lower levels of nutritional knowledge(Reference Parmenter, Waller and Wardle38). Although we found some variation in response to individual questions within these groups, we did not find any overall difference in Nitrate Knowledge Index scores by gender, overall education levels or household income (our closest proxy for socioeconomic status). However, we found that individuals who reported some previous nutrition education scored on average two points higher on the twenty-one-point Nitrate Knowledge Index than those without any previous nutrition education. This is broadly consistent with the findings from our previous investigation in which we found that individuals with higher level nutritional qualifications (possession of a Master’s or PhD) typically had greater knowledge of nitrate than individuals with lower level qualifications (undergraduate degree)(Reference Shannon, Grisotto and Babateen29). Interestingly, in the current study, individuals who were employed or self-employed also had greater (median 1 point higher) scores on the Nitrate Knowledge Index than individuals who were retired, unemployed or students. This agrees with some previous research in Australian adults, which showed greater overall nutritional knowledge in employed v. unemployed adults(Reference Hendrie, Coveney and Cox40). It is possible that employed individuals may have had greater nutrition education or exposure to relevant information as part of their employment. The greatest differences in Nitrate Knowledge Index scores were observed between those had v. had not heard of dietary nitrate. Specifically, those who had heard of nitrate scored on average five points higher on the Nitrate Knowledge Index score than those who had not heard of dietary nitrate. Differences in knowledge were particularly apparent when identifying the health effects of dietary nitrate, the dietary nitrate content of different foods and factors that influence the dietary nitrate content of foods.

Our study provides new information on whether an individual’s knowledge or beliefs about dietary nitrate impacts, or could impact, their behaviour when purchasing foods. Almost all participants reported that they had not deliberately purchased, or avoided purchasing, a food because of its nitrate content. This suggests that simply marketing a food as higher or lower nitrate (which is sometimes the case for processed meat products which have been deliberately prepared without nitrate due to perceived health risks of this compound) may not impact consumer behaviour. Similarly, most participants had not previously purchased a nitrate-rich supplement to increase their intake of this compound, although around half of the participants suggested they would be likely or very likely to do this if there was evidence to suggest this could have cardiovascular, metabolic or cognitive benefits. Therefore, if such claims were approved for use in marketing products, they could have important implications for the sale of such supplements. It is interesting to note that most participants suggested that they would rather increase their intake of nitrate via consumption of nitrate-rich foods rather than supplements. This information could help with the design of interventions and public health campaigns to augment nitrate intake by the public if a sufficient evidence-base was to emerge to support the health benefits of such an approach. Potential advantages of increasing nitrate intake via food v. supplements, previous highlighted by our group(Reference Griffiths, Alhulaefi and Hayes3), include lower cost, greater variety and provision of fibre which is often lacking in nitrate-based supplements but can have health benefits(Reference Mathers41,Reference Kimble, Gouinguenet and Ashor42) . Nevertheless, whilst foods are often preferred to supplement (by both individuals and nutritionists or dietitians), there may still be a potential role for supplements under certain circumstances (e.g. athletes looking to consume a high nitrate bolus pre-competition)(Reference Close, Kasper and Walsh43). It is also relevant to note that we did not directly enquire about participants views on concentrated beetroot juice, which is a commonly used nitrate supplement, but could potentially be perceived more favourably than nitrate supplements in tablet or pill form.

Given the typically poor knowledge of dietary nitrate and associated health benefits, it may be pertinent to develop and/or optimise public health education strategies. This is particularly relevant given the high rates of (Reference Bhatnagar, Wickramasinghe and Wilkins44) and dementia(Reference Prince, Knapp and Guerchet45) in the UK, and the evidence that dietary nitrate may improve markers of cardiovascular(Reference Jackson, Patterson and MacDonald-Wicks10Reference Siervo, Shannon and Kandhari14) and brain(Reference Shannon, Gregory and Siervo16Reference Presley, Morgan and Bechtold19) health (contrasting the historical view that nitrate is a potentially harmful compound to be eradicated from the diet). Although improved nutritional knowledge does not guarantee behaviour change, it can contribute towards and facilitate such changes(Reference Worsley46,Reference Michie, van Stralen and West47) . Given widespread use of social media websites or applications, such channels may represent an easy-to-use, low-cost, direct way for nutritional educators to reach a relevant audience(Reference Tobey and Manore48). Such strategies could be tailored for different socio-demographic groups to maximise impact and knowledge dissemination.

From an international perspective, the findings of limited knowledge about dietary nitrate in the public may only be relevant to those countries who practice similar legislation to the UK, such as countries within the European Union. Here, mention of any food-related health benefit in a marketing context is banned, unless the corresponding health claim has received official approval(49). Neither the UK nor the European Union has approved any nitrate-related health claims, and, as such, there is no legal marketing of this nature. In other regions of the world, such as the USA, where the legislation is less restrictive(50), companies are allowed to advertise the health effects of dietary supplements such as nitrate (e.g. via television and social media). It is possible that knowledge about dietary nitrate could be greater in those regions, and future research is required to measure this.

Strengths and limitations

This study includes a relatively large sample, similar to or greater than the number of participants in previous investigations into nutritional knowledge(Reference Shannon, Grisotto and Babateen29,Reference Hendrie, Coveney and Cox40,Reference Bradette-Laplante, Carbonneau and Provencher51,Reference Spendlove, Heaney and Gifford52) . The dataset produced could serve as a reference point for future investigations into nitrate knowledge in different populations or to evaluate change in knowledge in the public over time. We matched our participant characteristics to the wider UK population by age, gender and ethnicity. However, we were unable to ensure all characteristics of our participants were representative of the UK population, including education and employment status, both of which can influence nutritional knowledge and habits(Reference Hendrie, Coveney and Cox40). Considering this was a nutrition-based questionnaire, it is possible that respondents may have had a greater interest in nutrition compared with non-respondents. However, as the key finding ultimately reflects a limited knowledge of nitrate, the prior interests of participants are unlikely to have significantly affected the general ‘take home’ message from this study. Another limitation of the study is that few participants (n 58) had heard of dietary nitrate prior to completing the questionnaire. It is, therefore, possible that some responses from individuals who had not heard of nitrate were educated guesses based on general nutritional knowledge and beliefs. Additional analysis demonstrated that those that had heard of nitrate performed significantly better than those that had not heard of nitrate. A final strength of this questionnaire is that it underwent considerable pilot testing with members of the public, which maximised comprehensibility(Reference Van Teijlingen, Rennie and Hundley53).

Conclusion

This study provides new insight into knowledge and beliefs about dietary nitrate in the general population of the UK. Overall, results show that knowledge about dietary nitrate is poor, and notably lower than previously observed for nutrition professionals. Greater education around this compound may be valuable to help individuals make more informed decisions about their consumption of nitrate-containing foods. This could occur as part of broader efforts to increase nutritional knowledge in the population, which could be an important strategy to mitigate risk of diet-associated diseases including, diabetes, cancer and dementia(Reference Branca, Lartey and Oenema54Reference Manios, Moschandreas and Hatzis56).

Supplementary material

For supplementary material accompanying this paper visit https://doi.org/10.1017/S1368980024002167

Acknowledgements

N/A.

Financial support

This research received no specific grant from any funding agency, commercial or not-for-profit sectors.

Competing interests

There are no conflicts of interest.

Authorship

This study was conceived by O.M.S. and M.S. O.M.S. and E.G. designed the questionnaire, which was further refined by A.G., J.M., S.A., E.W., E.H., K.B., J.C.M. and M.S. O.M.S. and E.G. conducted data collection. Data were analysed by A.G., with additional input from O.M.S. Results were interpreted by A.G., E.G., J.M., S.A., E.W., E.H., K.B., .J.C.M., M.S. and O.M.S. A.G., E.G. and O.M.S. drafted the manuscript. The manuscript was critically revised by J.M., S.A., E.W., E.H., K.B., J.C.M. and M.S. All authors approved the final version of the manuscript.

Ethics of human subject participation

This study was conducted according to the guidelines laid down in the Declaration of Helsinki and all procedures involving research study participants were approved by the Newcastle University Ethics Committee (REF: 26332/2022). Written informed consent was obtained from all subjects or patients.

Footnotes

Alex Griffiths and Evie Grainger shared first author

References

Hord, NG, Tang, Y & Bryan, NS (2009) Food sources of nitrates and nitrites: the physiologic context for potential health benefits. Am J Clin Nutr 90, 110.CrossRefGoogle ScholarPubMed
Blekkenhorst, LC, Prince, RL, Ward, NC et al. (2017) Development of a reference database for assessing dietary nitrate in vegetables. Mol Nutr Food Res 61, 1600982.CrossRefGoogle ScholarPubMed
Griffiths, A, Alhulaefi, S, Hayes, EJ et al. (2023) Exploring the advantages and disadvantages of a whole foods approach for elevating dietary nitrate intake: have researchers concentrated too much on beetroot juice? Appl Sci 13, 7319.CrossRefGoogle Scholar
Shannon, OM, Easton, C, Shepherd, AI et al. (2021) Dietary nitrate and population health: a narrative review of the translational potential of existing laboratory studies. BMC Sports Sci Med Rehabil 13, 65.CrossRefGoogle ScholarPubMed
Benjamin, N (2000) Nitrates in the human diet-good or bad? Ann Zootech 49, 207216. Paris: Institut National de la Recherche Agronomique, 1960–2000.Google Scholar
World Health Organization (2004) Recommendations; Nitrate and Nitrite. The Guidelines for Drinking-Water Quality, pp. 417420. Geneva, Switzerland: WHO.Google Scholar
EFSA (2008) Nitrate in vegetables Scientific Opinion of the Panel on Contaminants in the Food chain. EFSA J 689, 179.Google Scholar
Lundberg, JO, Weitzberg, E & Gladwin, MT (2008) The nitrate–nitrite–nitric oxide pathway in physiology and therapeutics. Nat Rev Drug Discov 7, 156167.CrossRefGoogle ScholarPubMed
Lundberg, JO, Gladwin, MT, Ahluwalia, A et al. (2009) Nitrate and nitrite in biology, nutrition and therapeutics. Nat Chem Biol 5, 865869.CrossRefGoogle ScholarPubMed
Jackson, JK, Patterson, AJ, MacDonald-Wicks, LK et al. (2018) The role of inorganic nitrate and nitrite in cardiovascular disease risk factors: a systematic review and meta-analysis of human evidence. Nutr Rev 76, 348371.CrossRefGoogle ScholarPubMed
Larsen, FJ, Weitzberg, E, Lundberg, JO et al. (2007) Effects of dietary nitrate on oxygen cost during exercise. Acta Physiol 191, 5966.CrossRefGoogle ScholarPubMed
Bailey, SJ, Winyard, P, Vanhatalo, A et al. (2009) Dietary nitrate supplementation reduces the O2 cost of low-intensity exercise and enhances tolerance to high-intensity exercise in humans. J Appl Physiol 107, 11441155.CrossRefGoogle ScholarPubMed
Webb, AJ, Patel, N, Loukogeorgakis, S et al. (2008) Acute blood pressure lowering, vasoprotective and anti-platelet properties of dietary nitrate via bioconversion to nitrite. Hypertens 51, 784790.CrossRefGoogle Scholar
Siervo, M, Shannon, O, Kandhari, N et al. (2020) Nitrate-rich beetroot juice reduces blood pressure in Tanzanian adults with elevated blood pressure: a double-blind randomized controlled feasibility trial. J Nutr 150, 24602468.CrossRefGoogle ScholarPubMed
Siervo, M, Scialò, F, Shannon, OM et al. (2018) Does dietary nitrate say NO to cardiovascular ageing? Current evidence and implications for research. Proc Nutr Soc 77, 112123.CrossRefGoogle Scholar
Shannon, OM, Gregory, S & Siervo, M (2022) Dietary nitrate, aging and brain health: the latest evidence. Curr Opin Clin Nutr Metab Care 25, 393400.CrossRefGoogle Scholar
Clifford, T, Babateen, A, Shannon, OM et al. (2019) Effects of inorganic nitrate and nitrite consumption on cognitive function and cerebral blood flow: a systematic review and meta-analysis of randomized clinical trials. Crit Rev Food Sci Nutr 59, 24002410.CrossRefGoogle ScholarPubMed
Aamand, R, Dalsgaard, T, Ho, Y-CL et al. (2013) A NO way to BOLD?: Dietary nitrate alters the hemodynamic response to visual stimulation. NeuroImage 83, 397407.CrossRefGoogle ScholarPubMed
Presley, TD, Morgan, AR, Bechtold, E et al. (2011) Acute effect of a high nitrate diet on brain perfusion in older adults. Nitric Oxide 24, 3442.CrossRefGoogle ScholarPubMed
Siervo, M, Babateen, A, Alharbi, M et al. (2022) Dietary nitrate and brain health. Too much ado about nothing or a solution for dementia prevention? Br J Nutr 128, 11301136.CrossRefGoogle ScholarPubMed
Vanhatalo, A, L’Heureux, JE, Kelly, J et al. (2021) Network analysis of nitrate-sensitive oral microbiome reveals interactions with cognitive function and cardiovascular health across dietary interventions. Redox Biol 41, 101933.CrossRefGoogle ScholarPubMed
Rosier, BT, Palazón, C, García-Esteban, S et al. (2021) A single dose of nitrate increases resilience against acidification derived from sugar fermentation by the oral microbiome. Front Cell Infect Microbiol 11, 692883.CrossRefGoogle ScholarPubMed
Burleigh, MC, Sculthorpe, N, Henriquez, FL et al. (2020) Nitrate-rich beetroot juice offsets salivary acidity following carbohydrate ingestion before and after endurance exercise in healthy male runners. PloS One 15, e0243755.CrossRefGoogle ScholarPubMed
Alhulaefi, SS, Watson, AW, Ramsay, SE et al. Effects of dietary nitrate supplementation on oral health and associated markers of systemic health: a systematic review. Crit Rev Food Sci Nutr 0, 116.Google Scholar
Shannon, OM, Allen, JD, Bescos, R et al. (2022) Dietary inorganic nitrate as an ergogenic aid: an expert consensus derived via the modified Delphi technique. Sports Med 52, 25372558.CrossRefGoogle Scholar
Senefeld, JW, Wiggins, CC, Regimbal, RJ et al. (2020) Ergogenic effect of nitrate supplementation: a systematic review and meta-analysis. Med Sci Sports Exerc 52, 22502261.CrossRefGoogle ScholarPubMed
Jones, AM (2014) Dietary nitrate supplementation and exercise performance. Sports Med 44, 3545.CrossRefGoogle ScholarPubMed
Jonvik, KL, Nyakayiru, J, Van Dijk, J-W et al. (2016) Habitual dietary nitrate intake in highly trained athletes. Int J Sport Nutr Exerc Metab 27, 125.Google ScholarPubMed
Shannon, OM, Grisotto, G, Babateen, A et al. (2019) Knowledge and beliefs about dietary inorganic nitrate among UK-based nutrition professionals: development and application of the KINDS online questionnaire. BMJ Open 9, e030719.CrossRefGoogle ScholarPubMed
Bandura, A (1986) Social Foundations of Thought and Action: A Social Cognitive Theory. New Jersey, US: Prentice Hall.Google Scholar
Bandura, A (1998) Health promotion from the perspective of social cognitive theory. Psychol Health 13, 623649.CrossRefGoogle Scholar
Doerksen, SE & McAuley, E (2014) Social cognitive determinants of dietary behavior change in university employees. Front Public Health 2, 23.CrossRefGoogle Scholar
Peer, E, Brandimarte, L, Samat, S et al. (2017) Beyond the Turk: alternative platforms for crowdsourcing behavioral research. J Exp Soc Psychol 70, 153163.CrossRefGoogle Scholar
McMahon, NF, Leveritt, MD & Pavey, TG (2017) The effect of dietary nitrate supplementation on endurance exercise performance in healthy adults: a systematic review and meta-analysis. Sports Med 47, 735756.CrossRefGoogle ScholarPubMed
Lundberg, JO, Carlström, M & Weitzberg, E (2018) Metabolic effects of dietary nitrate in health and disease. Cell Metab 28, 922.CrossRefGoogle ScholarPubMed
Larsen, FJ, Ekblom, B, Sahlin, K et al. (2006) Effects of dietary nitrate on blood pressure in healthy volunteers. N Engl J Med 355, 27922793.CrossRefGoogle ScholarPubMed
Belogianni, K, Ooms, A, Lykou, A et al. (2022) Nutrition knowledge among university students in the UK: a cross-sectional study. Public Health Nutr 25, 28342841.CrossRefGoogle Scholar
Parmenter, K, Waller, J & Wardle, J (2000) Demographic variation in nutrition knowledge in England. Health Educ Res 15, 163174.CrossRefGoogle ScholarPubMed
Buttriss, JL (1997) Food and nutrition: attitudes, beliefs, and knowledge in the United Kingdom. Am J Clin Nutr 65, 1985S1995S.CrossRefGoogle ScholarPubMed
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.CrossRefGoogle Scholar
Mathers, JC (2023) Dietary fibre and health: the story so far. Proc Nutr Soc 82, 120129.CrossRefGoogle Scholar
Kimble, R, Gouinguenet, P, Ashor, A et al. (2022) Effects of a Mediterranean diet on the gut microbiota and microbial metabolites: a systematic review of randomized controlled trials and observational studies. Crit Rev Food Sci Nutr 63, 122.Google ScholarPubMed
Close, GL, Kasper, AM, Walsh, NP et al. (2022) ‘Food First but Not Always Food Only’: recommendations for using dietary supplements in sport. Int J Sport Nutr Exerc Metab 32, 371386.CrossRefGoogle ScholarPubMed
Bhatnagar, P, Wickramasinghe, K, Wilkins, E et al. (2016) Trends in the epidemiology of cardiovascular disease in the UK. Heart 102, 19451952.CrossRefGoogle ScholarPubMed
Prince, M, Knapp, M, Guerchet, M et al. (2014) Dementia UK: Update. UK: Alzheimer’s Society.Google Scholar
Worsley, A (2002) Nutrition knowledge and food consumption: can nutrition knowledge change food behaviour? Asia Pac J Clin Nutr 11, S579S585.CrossRefGoogle ScholarPubMed
Michie, S, van Stralen, MM & West, R (2011) The behaviour change wheel: a new method for characterising and designing behaviour change interventions. Implement Sci 6, 42.CrossRefGoogle ScholarPubMed
Tobey, LN & Manore, MM (2014) Social media and nutrition education: the Food Hero experience. J Nutr Educ Behav 46, 128133.CrossRefGoogle ScholarPubMed
NIH Office of Dietary Supplements - Dietary Supplement Health and Education Act of 1994 (1994) https://ods.od.nih.gov/About/DSHEA_Wording.aspx (accessed September 2024).Google Scholar
Bradette-Laplante, M, Carbonneau, É, Provencher, V et al. (2017) Development and validation of a nutrition knowledge questionnaire for a Canadian population. Public Health Nutr 20, 11841192.CrossRefGoogle ScholarPubMed
Spendlove, JK, Heaney, SE, Gifford, JA et al. (2012) Evaluation of general nutrition knowledge in elite Australian athletes. Br J Nutr 107, 18711880.CrossRefGoogle ScholarPubMed
Van Teijlingen, ER, Rennie, AM, Hundley, V et al. (2001) The importance of conducting and reporting pilot studies: the example of the Scottish Births Survey. J Adv Nurs 34, 289295.CrossRefGoogle ScholarPubMed
Branca, F, Lartey, A, Oenema, S et al. (2019) Transforming the food system to fight non-communicable diseases. BMJ 364, l296.CrossRefGoogle ScholarPubMed
Willett, W, Rockström, J, Loken, B et al. (2019) Food in the Anthropocene: the EAT-Lancet Commission on healthy diets from sustainable food systems. Lancet 393, 447492.CrossRefGoogle ScholarPubMed
Manios, Y, Moschandreas, J, Hatzis, C et al. (2002) Health and nutrition education in primary schools of Crete: changes in chronic disease risk factors following a 6-year intervention programme. Br J Nutr 88, 315324.CrossRefGoogle ScholarPubMed
Figure 0

Table 1. Participant characteristics

Figure 1

Table 2. Knowledge and beliefs in the overall cohort

Figure 2

Table 3. Purchasing behaviour in the overall cohort

Figure 3

Fig. 1 Nitrate Knowledge Index scores in different sociodemographic groups. Analyses were stratified by age (panel A; younger (< 40 years) v. older (≥ 40 years)), gender (panel B; male v. female), ethnicity (panel C; white v. other), education level (panel D; lower (GCSE, A Level, vocational, other) v. higher (undergraduate degree, Master’s degree or PhD)), employment status (panel E; employed and self-employed v. other), household income (panel F; lower (<£35 700) v. higher (≥£35 700)), BMI (panel G; <25 kg/m2v. ≥25 kg/m2), exercise level (panel H; lower (do not exercise) v. higher (other)), level of nutrition education (panel I; lower (no nutrition education, unsure and other) v. higher (secondary school level of nutrition education and above)), and prior knowledge of nitrate (panel J; had not heard of nitrate v. heard of nitrate). Data presented are median (IQR). * = significant difference (P < 0·05) between groups. Individuals who were employed, with higher nutrition education, and who had heard of nitrate prior to completing the questionnaire showed significantly greater knowledge of dietary nitrate IQR, interquartile range.

Supplementary material: File

Griffiths et al. supplementary material

Griffiths et al. supplementary material
Download Griffiths et al. supplementary material(File)
File 166.7 KB