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Discrete strategies to reduce intake of discretionary food choices: a scoping review

Abstract

On a population level, dietary improvement strategies have had limited success in preventing the surge in overweight and obesity or reducing risk factors for chronic disease. While numerous multi-component studies have examined whole-of-diet strategies, and single component (i.e. discrete) dietary intervention strategies have targeted an increase in core foods (e.g. fruits, vegetables, dairy), there is a paucity of evidence on the effectiveness of dietary intervention strategies targeting a decrease in discretionary choices. The aim of this review was to identify dietary intervention strategies that are potentially relevant to reducing intake of discretionary choices in 2–65 year olds. A scoping review was carried out to map the literature on key discrete dietary intervention strategies that are potentially applicable to reducing discretionary choices, and to identify the targeted health/nutrition effects (e.g. improve nutrient intake, decrease sugar intake, and reduce body weight) of these strategies. Studies conducted in participants aged 2–65 years and published in English by July 20, 2015, were located through electronic searches including the Cochrane Library, Medline, Embase, CINAHL, and Scopus. Three thousand two hundred and eighty three studies were identified from the search, of which 44 met the selection criteria. The dietary intervention strategies included reformulation (n = 13), substitution (n = 5), restriction/elimination (n = 9), supplementation (n = 13), and nutrition education/messages (n = 4). The key findings of the review were: restricting portion size was consistently beneficial for reducing energy intake in the acute setting; reformulating foods from higher fat to lower fat could be useful to reduce saturated fat intake; substituting discretionary choices for high fibre snacks, fruit, or low/no-calorie beverages may be an effective strategy for reducing energy intake; supplementing nutrient dense foods such as nuts and wholegrain cereals supports an improved overall diet quality; and, a combination of permissive and restrictive nutrition messages may effectively modify behavior to reduce discretionary choices intake. Longer-term, well-controlled studies are required to assess the effectiveness of the identified dietary strategies as interventions to reduce discretionary choices intake.

Background

The global prevalence of overweight and obesity, and associated chronic health conditions continues to increase [1]. Dietary recommendations for weight management and chronic disease prevention, including increasing fruit and vegetable intake and decreasing intake of added sugar, saturated fat and salt [2], have failed to be successfully adopted by the majority of the western population [35]. In Australia, only 6 % of adults consume an adequate intake of fruit and vegetables [6] and only 69 and 36 % of children (aged 5–11 years) consume at least two and three daily serves of fruit and vegetables, respectively [7]. In the UK only 8.5 % of adolescents and 30 % of adults meet the recommended serves of fruit and vegetables [5]. Similarly in the US, only 19 % of the population meet the minimum serves of fruit and vegetables [4]. Discretionary choices are foods or beverages high in saturated fat, added sugars, or salt, such as crisps, sugar sweetened beverages, sweet biscuits, cakes and desserts, sweet and savory pastries and processed meats [8]. In Australia, discretionary choices currently contribute around 36 % of energy intake in 2–13 year olds and 30–40 % of energy intake in those aged ≥14 years [3]. According to US data, 86 % of the population consume more than the recommended limit of discretionary choices [4]. National dietary intake data from the UK also shows mean intake of saturated fat, sodium and added sugars are in excess in all age groups (with the exception of sodium in girls aged 7–10 years) [5]. Research in children has indicated that discretionary choices may displace core foods such as fruit, vegetables, dairy, lean meats, and whole grains [9, 10]. Reducing the current intake of discretionary choices will reduce the risk of nutrient deficiencies, obesity and associated chronic disease [8].

While the impetus to reduce discretionary choice intake is clear, the interventions needed to achieve this change are uncertain. The effectiveness of multi-component dietary interventions (e.g. changing whole-of-diet) or discrete dietary intervention strategies targeting an increase in core foods (e.g. fruit and vegetable or dairy intake) have been widely researched; however they have had little success in preventing the surge in overweight and obesity [1113] as well as reducing risk factors for chronic disease [14, 15]. In contrast, there is a paucity of evidence on the effectiveness of dietary intervention strategies targeting a decrease in discretionary choices. Increasing our understanding of dietary strategies that are potentially relevant to decreasing discretionary choices intake will inform the design of next generation interventions which are needed to prevent overweight and obesity and/or reduce chronic disease risk factors. Therefore, the aim of this scoping review is to identify dietary intervention strategies that are potentially relevant to reducing intake of discretionary choices in 2–65 year olds. We will explore evidence from interventions targeting discretionary choices and examining dietary intervention strategies that have been applied in the context of core foods but could be applied in the context of reducing discretionary choice intake.

Methods and approach

A scoping review was conducted based on key phases detailed by Arksey et al [16] with the aim of mapping the literature on key discrete dietary intervention strategies that are potentially applicable to reducing discretionary choices, and their targeted health/nutrition effects (e.g. improve nutrient intake, decrease sugar intake and reduce body weight) in 2–65 year olds. According to Daudt et al., a scoping review aims to “map the literature on a particular topic or research area and provide an opportunity to identify key concepts; gaps in the research; and types and sources of evidence to inform practice, policymaking, and research” [17]. The framework for conducting this scoping review was based on key phases detailed by Arksey et al [16]: i) identification of the research question to be addressed; ii) identification of studies relevant to the research question; iii) selection of studies to include in the review; iv) charting of information and data within the included studies; and v) collating, summarizing and reporting results of the review.

Search strategy

The search strategy and procedure were guided by the PRISMA statement [18]. Potential studies were located through electronic searches (Cochrane Library, Ovid [Medline and Embase], EbscoHost [CINAHL], and Scopus). Limits were set to age 2–65 years, English language, and publications released up to and including July 20, 2015 (i.e. the search date). Search terms and MeSH headings in the title, abstract, and index terms were initially identified in Medline and subsequent key words were used for the remaining databases (Appendix 1). An academic librarian assisted with the development of MeSH headings, key words, and conduct of the electronic database search.

Identified studies were assessed for inclusion by the primary author (JAG). Following removal of duplicates, articles were examined for eligibility based initially on titles and abstracts, followed by a full-text appraisal of all remaining articles (Fig. 1). Reasons for full text exclusion were documented.

Fig. 1
figure 1

PRISMA Flow chart of included studies. Flow chart indicates 3283 articles were retrieved (with removal of duplicates), followed by exclusion of 2803 articles based on irrelevant titles and exclusion of 378 abstracts. One hundred and two full text articles were examined in which 58 full text articles were excluded; leaving 44 studies included in the review

Study selection

Included participants were children and adults aged 2–65 years who were generally healthy and without chronic disease. Included studies were randomized controlled trials (RCT) or comparator group studies that evaluated strategies to reduce discretionary food intake (or core foods, e.g. dairy products, with an approach that could be applied to discretionary choices) with the aim to improve nutritional intake or health status. Strategies included those pertaining to dietary manipulation with a focus on reformulation (e.g. low fat vs. high fat products), substitution (e.g. replacing biscuits with fruit), restriction/elimination (e.g. reducing portion size), and supplementation (e.g. including specific foods/beverages in the diet). Chronic and acute studies were included: chronic dietary intervention studies were those where participants would consume the food/beverage daily for a number of weeks and dietary intake measured post intervention; acute studies were those where the food/beverage was consumed only once, or once per week over a few weeks, and the impact of subsequent food/calorie intake was measured. Strategies utilizing nutrition education/messages were also included where participants were provided information/strategies/messages on food for any defined period, to alter food intake. Exclusion criteria were studies in pregnant or lactating women or clinical populations that require strictly modified diets (e.g. those with celiac disease); studies related to binge/disordered/restrained eating; studies assessing results of only the intervention or comparator group either following the RCT or as follow-up post-RCT completion; studies assessing food labelling and media advertising (e.g. through computer games or television adverts); and studies that did not report on nutritional or food intake or body weight.

Data collation and reporting of results

Data was extracted on the study aims, intervention, outcome measurement and main results (see results Tables 1, 2, 3, 4 and 5) and summaries were developed. Unlike a systematic review which synthesizes and weights studies according to level of evidence, a scoping review presents findings in a narrative way. We based our narrative synthesis on recommendations by Arksey et al. [16] and Popay et al. [19]. That is, we firstly gave attention to the numbers of studies reporting on each discrete intervention type (e.g. substitution, reformulation, and elimination), a description of the intervention, and whether it was effective at producing a significant change in the study’s main outcome. This allowed us to understand what the most common themes emerging from the identified strategies were, map the strategies back to our aim, and to have a better understanding on their effectiveness and research gaps. Together, these data formed the basis of the scoping review summary.

Table 1 Description of included reformulation studies
Table 2 Description of included substitution studies
Table 3 Description of included restriction/elimination studies
Table 4 Description of included supplementation studies
Table 5 Description of included nutrition education/messages studies

Review

The initial search retrieved 3283 articles (with removal of duplicates), 3181 were excluded through title and abstract screening (Fig. 1). One hundred and two full text articles were examined; following exclusion, 44 studies were included in the review. Thirteen studies assessed reformulation strategies (Table 1), five studies assessed substitution strategies (Table 2), nine studies assessed restriction/elimination strategies (Table 3) and 13 studies assessed supplementation strategies (Table 4). Four studies assessed nutrition education/messages strategies (Table 5).

Reformulation strategies

Chronic dietary manipulation studies

Six RCTs assessed the effect of food reformulation over a chronic period (Table 1). Two of the studies reported positive findings, three studies reported null findings, and two studies reported mixed findings. Gatenby et al. [20] found that in adults, using low fat foods rather than high fat foods ad-libitum over 6 weeks, reduced dietary percentage of energy from fat (8 % absolute) and decreased body weight (700 g difference). A further study in this group [21] utilised the same intervention in females only, but also included another arm of low sugar rather than regular sugar foods. Over 10 weeks, there was no change in energy or sugar intake; however, the percentage of energy from total fat was 4 % lower in the low fat group compared to the low sugar and usual food groups [21].

Two studies reported on altering dairy foods [22, 23]: Golley et al. [22] showed that using reduced fat rather than regular fat versions of dairy foods for 12 weeks reduced children’s fat and saturated fat consumption but not total energy intake. Gunther et al. [23] showed in young women that manipulating dairy products with either moderate or high fat dairy whilst maintaining isocaloric intake had no effect on body weight.

Two RCTs reported on manipulating beverage consumption. In adolescents, Ebbeling et al. [24] showed that compared to usual beverage consumption, consuming non-caloric beverages for 25 weeks led to a 1 MJ lower energy intake; however, there was no change in BMI between groups. In overweight adults, Raben et al. [25] compared ad-libitum food intake and body weight following 10 weeks of supplemental drinks containing either sucrose or artificial sweetener. It was found that those in the sucrose group tripled their energy intake from sucrose drinks, leading to a >2.5 MJ higher overall total daily energy intake. The sucrose drink group gained 1.6 kg over the 10 weeks compared to a 1 kg reduction in weight in the artificial sweetener group [25].

Acute studies

Acute reformulation strategies were assessed in seven studies (Table 1). In young children, consumption of plain milk (256 kJ/100 mL), sucrose-sweetened chocolate milk (416 kJ/100 mL), or aspartame-sweetened chocolate milk (263 kJ/100 mL) had no significant effect on the consumption of other food items offered at that meal [26]. However, children consuming high-sugar ready-to-eat cereal (RTEC) consumed almost twice the amount of refined sugar at the breakfast meal (from RTEC and added sugar: 24.4 g vs. 12.5 g) and consumed a greater quantity of RTEC compared to children consuming the lower sugar RTEC (61 g vs. 35 g) [27].

In adults, provision of snacks enriched with either barley beta-glucan [28] or different macronutrient composition [29, 30] had no impact on subsequent food or energy intake. Manipulating the energy density of a meal decreased meal intake in children [31], however, keeping the same energy density but increasing the air content of a snack food reduced energy intake of the snack but not subsequent snack energy intake [32].

Substitution strategies

Chronic studies

Two studies reported on substitution as a strategy to improve nutrient/food intake and body weight. Substituting high fibre snacks (10–12 g/d fibre) for 8 weeks in children [33] or substituting cereal bars (high in carbohydrate) or almonds (high in protein) for 12 weeks in adults [34] in place of usual snacks, had no effect on macronutrient intakes [33, 34] or body weight [34] (Table 2). Consumption of high fibre snacks in children also had no effect on fibre or whole grain intake; however, intake of total grains, and sweets, was higher [33].

Acute studies

Three studies reported on the acute effects of substituting lower energy foods/beverages in a main meal or snack (Table 2). In adults, Flood et al. [35] substituted regular calorie with low or no calorie beverages using a variety of portion sizes. It was found that when a larger portion of beverage was served (540 g vs. 260 g), more energy from the beverage was consumed (~100 kJ); however, there was no difference in the overall meal energy intake [35]. Including extra vegetables into a meal while reducing the portion size of meat and grain, increased vegetable intake (~0.75 servings) but also decreased energy intake from the meat and grain component, and therefore the overall meal [36]. In children, an afternoon snack consisting of either raisins or grapes reduced subsequent dinner energy intake by 200–300 kJ compared to a snack of energy dense potato chips or chocolate chip cookies [37].

Restriction/elimination strategies

Acute studies

Nine studies reported on restriction/elimination strategies via manipulating portion sizes of entrées, main meals or snacks (Table 3). Increasing the portion size of a salad entrée reduced subsequent main meal intake by 410 kJ in adults [38]; while quadrupling the portion size of macaroni and cheese (energy density of 1.52 kcal/g (6.36 kJ/g)) within a meal (i.e. 100 g vs. 400 g, with an energy density of 1.12 kcal/g vs. 1.27 kcal/g) increased intake of macaroni and cheese by 150 %, and total meal intake by 61 % [39] in children. This supports the findings of the previous study by Fisher et al. [40] that found doubling the portion size (250 g vs. 500 g) of macaroni and cheese (1.42 kcal/g) in a meal increased macaroni and cheese intake by 33 % and total meal intake by 15 % in pre-school children.

In adolescents, serving the same take-away meal in different portion sizes (4 smaller servings presented at a single time point vs. portioned into 4 smaller servings presented at 15-min intervals) had no effect on overall take-away food intake compared to the meal served in one large portion [41]. In younger children, a large portion size of a low calorie snack (applesauce) or high calorie snack (chocolate pudding) increased subsequent meal energy intake compared to a smaller portion size of the same foods [42].

In children, halving the item size of candies [43] or cookies [44] led to a reduction in intake of 60 kcal and 68 kcal, respectively. In adults, consuming portion controlled 100 kcal snack packs (19 g–26 g) of crisps, crackers, pretzels or cookies led to a weekly caloric deficit of 841 kcal/week compared to larger, usual snack packs (187 g–369 g) [45]; while consuming smaller portions of a sandwich (6, 8, 10, or 12 in.) also reduced energy intake [46].

Supplementation strategies

Chronic studies

Seven chronic studies reported on the effect of supplementing the diet with specific foods/beverages on micronutrient intake or body weight, in which the majority of studies reported null results (Table 4). Supplementing 43 g/d of almonds for 4 weeks in adults with type 2 diabetes [47] or walnuts for 12 weeks [48] did not affect micronutrient intake [47], body weight [47, 48] or body composition [48]. Six months of almond consumption (range of intakes: 42–71 g/d) significantly increased micronutrient intakes and decreased intakes of sodium and sugars by more than 10 % [49].

Consumption of a grain bar high in carbohydrate prior to the evening meal for 8 weeks decreased body weight compared to consumption of a peanut bar high in protein (mean difference 1.5 kg), yet there was no difference between groups in reported energy or protein intake [50]. Consuming RTEC in amounts ranging from 33–60 g/d did not consistently improve dietary intake or anthropometric measures [5153], and these studies did not report whether and what types of foods RTEC supplemented, except in the study by Kirk et al. [51] who supplemented bread and toast. The study by Kirk et al. [51] also reported a greater decrease in the percent contribution of biscuits and cakes to mean daily energy intake compared with the control group who received no advice to consume RTEC for 12 weeks (-6.0 %E vs -1.4 %E); one or two servings of RTEC for 12 weeks did not affect body weight in children [53]; but when RTEC and milk was consumed in place of the usual evening snack (food type not reported), an increase in evening energy intake (+500 kJ) was found [52].

Acute studies

Six studies reported on supplementation using food or beverage pre-loads (low calorie food or beverage) before or within a meal, where most studies reported a reduction in meal energy intake (Table 4). In adults, a snack of prunes before a meal reduced subsequent energy intake at the meal compared to a snack of white bread, however the reduced energy intake did not remain over a 24-h period [54]. A 500 ml water pre-load significantly reduced meal energy intake by 13 % [55] and 8 % [56] in older adults; however a 375 ml or 500 ml water pre-load in younger women and men did not alter meal and energy intake [56]. Comparatively, consumption of an apricot and peach drink high in protein led to a reduction in subsequent test meal food intake in young adults compared to the same apricot and peach drink that was higher in carbohydrate, or a low energy control version [57].

In adults, consumption of 1.5–2 cups of soup in a variety of flavours (with the same energy density) before a meal, reduced meal energy intake by 20 %; however the type of soup had no significant effect on test meal intake or total meal energy intake [58]. In the same study described earlier, Rolls et al. [36] also showed that including extra vegetables into a meal without reducing the portion size of the meat and grain component increased vegetable intake (~0.75 servings); however the addition of more vegetables did not significantly affect meal energy intake.

Nutrition education/messages strategies

Four discrete intervention studies were identified that assessed nutrition education/messages strategies to improve nutritional intake and/or decrease discretionary choices (Table 5). The study by Sichieri et al. [59] encouraged simple messages “to consume water instead of sugar-sweetened beverages” in 9–12 year olds over 7 months. Overall, there was a significant reduction in carbonated beverage intake (~390 ml/d) compared with the control group who received no information on substitution. However, this did not equate to a reduction in weight or BMI, potentially due to slight increases in fruit juice intake in both groups (35–84 ml/week). In the study by Alinia et al. [60] free access to a fruit basket for 5 months at various workplaces increased the consumption of fruit by nearly 1 serving/d vs control; intake of dietary fibre increased by 3 g/d and added sugar decreased by 2 teaspoons/d in the intervention group vs baseline. In contrast, provision of a fruit tuck shop in primary and junior schools in the UK had no effect on increasing fruit intake over the 9 month period [61]. However, in the schools with a ‘no food’ or ‘fruit only’ policy, the fruit tuck shop intervention had a greater impact than in schools with no restrictions, whereby there was 0.37 portions greater consumption of fruit in schools with a fruit only policy compared with 0.14 portions with a no food policy and -0.13 where there were no restrictions [61].

The final study assessed positive and negative nutrition messages on food intake [62]. Young adults who read messages about the health effects of junk food (i.e. “reducing junk food intake is good for your health”) or social expectations (i.e. “students eat less junk food than you might realise”) consumed fewer high calorie snack foods compared with those who read messages unrelated to junk food consumption; however, there was no effect on fruit and vegetable intakes between groups [62].

Discussion

This scoping review assessed the impact of discrete dietary manipulation strategies that were potentially applicable to reducing discretionary choices in adults and children. Although no definitively effective single discrete strategy was identified, there were a number that show potential, including reducing portion size, reformulation of fat (from higher to lower saturated fat), substituting high fibre snacks or low/no-caloric beverages into the diet, supplementing healthy nutrient dense foods such as nuts and wholegrain cereals, using a combination of permissive and restrictive education messages, and incorporating cheap and/or complimentary healthier foods in the workplace. The findings of this review can inform future research, in particular adapting these strategies in the development of interventions to reduce excess intake of discretionary choices.

A limited number of chronic dietary manipulation studies addressed the use of reformulation as a strategy to improve diet quality. While a change from regular fat foods to reduced fat foods appears to be a useful strategy in terms of lowering fat intake [20, 21], the impact on overall energy intake and bodyweight are not clear [23]. Consumption of non-caloric beverages appears to reduce overall energy intake in adolescents [24] and adults [25], however reductions in body weight tend to occur only in adults.

Short-term consumption of sucrose compared to artificially sweetened milk did not alter subsequent food intake in children [26], and consuming snacks with different macronutrient profiles [2830] or consuming a more-aerated snack [32] had no effect on subsequent meal energy intake. Nevertheless, since a more aerated snack did result in less energy consumed from the snack, and reformulating energy dense meals for lower density versions reduced energy intake at that meal [31], manipulating food density has potential for reducing discretionary choices and should be investigated further.

There were mixed results regarding substitution strategies. Chronic studies substituting high fibre snacks [33], cereal bars or almonds [34] for usual snacks did not improve micronutrient intake, and high fibre snacks in children actually increased intake of sweets. Interestingly, in the high fiber snack study by Brachula et al. [33] participants in the intervention group did not usually consume snacks. Thus incorporating two eating occasions of a high fiber snack to their usual routine, with no change in total grain but an increase in whole grain intake, indicates that the children were likely displacing refined grains and hence discretionary choices, and therefore undertaking a positive behavior change.

Smaller portions of non-caloric beverages reduced meal energy intake [35], and increasing vegetable portions within a meal increased vegetable consumption and decreased meat and grain intake [36]. Reducing energy density of foods and beverages appears to be an appropriate strategy, at least in the short term, for reducing energy intake. This approach requires investigation in contexts when the meal consists heavily of discretionary choices, such as fast food outlets, to review the impact on reducing energy intake and improving nutrient intake. Studies assessing low/no-caloric beverages or raisins as a substitute for high calorie beverages and crisps/cookies, respectively, suggest these may be effective strategies for displacing discretionary choices. The long-term impact of such strategies remains to be evaluated.

Most restriction/elimination studies were effective in reducing short-term (within-meal) energy intake. These studies typically reduced the portion size of specific meal components or increased the portion of a low-density meal (e.g. a salad), which subsequently reduced energy density and energy intake [3840, 42]. The theory behind this is that lower energy density foods might displace intake of some of the higher energy-density foods at a meal or at a subsequent meal, such as discretionary choices, through its satiating effect [38, 63]. However, one study showed that reducing the energy content of various entrées led to an increase in consumption of discretionary foods, and while this resulted in a decrease in daily energy intake, ratings of hunger were increased [64]. Increased hunger could translate into increased consumption of discretionary choices. Large portions of low energy dense foods, which provide a feeling of fullness, may be a more effective strategy to moderate energy intake and decrease discretionary choices at a meal or between meals. Halving item sizes of candies [43] or cookies [44], or reducing portion sizes of discretionary choice snacks [45], or a sandwich [46] was also an effective strategy for reducing energy intake. Although these are effective in an acute setting, the longer-term effects of restricting portion or snack item sizes should be investigated in the context of reducing subsequent discretionary choices and energy intake.

Results were mixed for the effect of chronic supplementation strategies on nutrient profile and body weight [4753]. Given the nutrient dense profile of nuts and wholegrain foods, supplementing the diet with these foods compared to discretionary choices would support overall diet quality. The net benefits of supplementing the diet with RTEC are less clear since many are high in added sugar and salt.

Acute supplementation studies generally have a positive effect on reducing subsequent meal energy intake and could be a strategy to reduce discretionary choices after a main meal. A water pre-load could be a useful strategy to decrease energy intake in older adults who are overweight or obese, however its effect on replacing or reducing higher calorie foods in the diet requires further investigation, so too does its effect in non-obese younger and older adults. Including low calorie, non-energy dense meals prior to a discretionary choices main meal has a beneficial impact on subsequent meal energy intake.

Free access to fruit is a positive strategy to increase fruit and fibre intake, and reduce added sugar intake in adults [60], and therefore potentially discretionary choices; however, the impact of this in children was ineffective and requires nutrition policies within the school to produce any positive effect [61]. Interestingly, the effect in adults occurred without any guidance or nutrition education and only with the provision of a free fruit basket at the office workplace, yet this was only one study and therefore requires further investigation. Nevertheless, differences in outcomes/effects between these studies may be the result of older adults having a better understanding on the benefits of fruit intake compared to younger children; possibly lower accessibility of fruit at a tuck shop where students are required to get the fruit themselves compared to having it in the classroom; or potential problems in the validity and reliability of self-reported fruit intake between adults and children.

Only a limited number of studies utilised nutrition messages to change nutritional intake. Permissive messages to increase water consumption are beneficial to reducing sugar sweetened beverage intake [59] and restrictive messages about the impact of junk food on health and its social acceptance, also appears to reduce discretionary food intake [62]. However, the longer-term implications of these messages are unknown.

Strengths and limitations to this study are acknowledged. This review is the first to comprehensively investigate the impact of discrete dietary strategies that were potentially applicable to reducing discretionary choices, on discretionary choices intake and/or the strategies targeted health/nutrition effects. The review captured a wide range of studies as the inclusion criteria was broad and was not limited by age; and the search was extensive by way of multiple databases. Although we relied on published content and did not contact authors or search grey literature, the purpose of a scoping review is to be broader than a systematic review so that key findings can be later assessed in a systematic process. Limitations include the small number of studies that utilized similar dietary strategies, thus drawing firm conclusions on study outcomes/effects was difficult; and although not a key feature of scoping review [16] we did not assess study bias, however this review is transparent and has not placed undue emphasis on one study relative to another. As this study did not assess intake of discretionary choices per se for all identified strategies, the impact on this outcome was not always able to be determined; further research is required to investigate how the alternative targeted health/nutrition effects for these strategies are affected by and/or affect intake of discretionary choices. Another limitation is that only one author reviewed the potentially relevant studies; however, initial discussion around inclusion/exclusion criteria and final studies extracted involved all authors, thereby minimizing any error in included studies. Finally, as there was heterogeneity between study populations, it remains unclear whether some strategies are more feasible in particular population groups.

Conclusions

No single discrete strategy was identified that definitively reduced discretionary choices in adults or children. However, restriction/elimination strategies (specifically reducing portion size) were consistently beneficial for reducing energy intake, at least in the acute setting. Reformulation of fat (from higher to lower fat) could be useful to reduce saturated fat intake, and substituting high fibre snacks, fruit, or low/no-caloric beverages for discretionary choices may be effective. Supplementation strategies where nutrient dense foods such as nuts and wholegrain cereals are consumed in place of discretionary choices support an improved overall diet quality. Regarding education strategies, a combination of permissive and restrictive messages may reach a large audience to effectively modify behavior, while incorporation of cheaper and/or freely accessible healthier foods in the workplace may be a further option to reduce discretionary choices and support diet quality in adults. Longer-term, well-controlled and larger studies are required to confirm the effectiveness of the proposed strategies and assess their impact in multi-component interventions.

Abbreviations

BMI:

body mass index

CI:

confidence intervals

NS:

not significant

RCT:

randomized controlled trials

RTEC:

ready to eat cereals

SE:

standard error

SEM:

standard error of the mean

SSB:

sugar sweetened beverages

References

  1. World Health Organization. Global Status Report on noncommunicable diseases. WHO. Geneva; 2014. Available at: http://www.who.int/nmh/publications/ncd-status-report-2014/en/. Accessed 3 Aug 2015.

  2. National Health and Medical Research Council. Food for Health: Dietary Guidelines for Australians, A Guide to Healthy Eating. Available at: https://www.nhmrc.gov.au/_files_nhmrc/publications/attachments/n31.pdf. 2005. Accessed 3 Aug 2015.

  3. Australian Bureau of Statistics. 4364.0.55.007 - Australian Health Survey: Nutrition First Results - Foods and Nutrients, 2011-12. 2013. Available at: http://www.abs.gov.au/ausstats/abs@.nsf/Lookup/by%20Subject/4364.0.55.007~2011-12~Main%20Features~Discretionary%20foods~700. Accessed 12 Nov 2015.

  4. National Cancer Institute. Division of Cancer Control and Population Sciences. Usual Dietary Intakes: Food Intakes, U.S. Population, 2007-10. Epidemiology Research Program Web site. National Cancer Institute; 2015. Available at: http://epi.grants.cancer.gov/diet/usualintakes/pop/2007-10/. Accessed 12 Nov 2015.

  5. Public Health England. Food Standards Agency. National Diet and Nutrition Survey: results from Years 1 to 4 (combined) of the rolling programme for 2008 and 2009 to 2011 and 2012. 2014. Available at: 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 12 Nov 2015.

  6. Australian Bureau of Statistics. 4338.0 - Profiles of Health, Australia, 2011-13. 2013. Available at http://www.abs.gov.au/ausstats/abs@.nsf/Lookup/by%20Subject/4338.0~2011-13~Main%20Features~Daily%20intake%20of%20fruit%20and%20vegetables~10009. Accessed 12 Nov 2015.

  7. Australian Bureau of Statistics. 4338.0 - Profiles of Health, Australia, 2011-13. 2013. Available at: http://www.abs.gov.au/ausstats/abs@.nsf/Lookup/by%20Subject/4338.0~2011-13~Main%20Features~Children’s%20risk%20factors~10010. Accessed 12 Nov 2015.

  8. Australian Government. National Health and Medical Research Council, Department of Health and Ageing. Eat for Health. Australian Dietary Guideline; 2013a. Available at: https://www.eatforhealth.gov.au/sites/default/files/files/the_guidelines/n55_australian_dietary_guidelines.pdf. Accessed 12 Nov 2015.

  9. Rangan AM, Randall D, Hector DJ, et al. Consumption of ‘extra’ foods by Australian children: types, quantities and contribution to energy and nutrient intakes. Eur J Clin Nutr. 2008;62:356–64.

    Article  CAS  PubMed  Google Scholar 

  10. Webb KL, Lahti-Koski M, Rutishauser I, et al. Consumption of ‘extra’ foods (energy-dense, nutrient-poor) among children aged 16-24 months from western Sydney, Australia. Public Health Nutr. 2006;9:1035–44.

    Article  PubMed  Google Scholar 

  11. Brown T, Summerbell C. Systematic review of school-based interventions that focus on changing dietary intake and physical activity levels to prevent childhood obesity: an update to the obesity guidance produced by the National Institute for Health and Clinical Excellence. Obes Rev. 2009;10:110–41.

    Article  CAS  PubMed  Google Scholar 

  12. Clifton PM, Condo D, Keogh JB. Long term weight maintenance after advice to consume low carbohydrate, higher protein diets--a systematic review and meta analysis. Nutr Metab Cardiovasc Dis. 2014;24:224–35.

    Article  CAS  PubMed  Google Scholar 

  13. Zenzen W, Kridli S. Integrative review of school-based childhood obesity prevention programs. J Pediatr Health Care. 2009;23:242–58.

    Article  PubMed  Google Scholar 

  14. Nordmann AJ, Nordmann A, Briel M, et al. Effects of low-carbohydrate vs low-fat diets on weight loss and cardiovascular risk factors: a meta-analysis of randomized controlled trials. Arch Intern Med. 2006;166:285–93.

    Article  CAS  PubMed  Google Scholar 

  15. Schwingshackl L, Hoffmann G. Long-term effects of low-fat diets either low or high in protein on cardiovascular and metabolic risk factors: a systematic review and meta-analysis. Nutr J. 2013;12:48.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Arksey H, O’Malley L. Scoping studies: towards a methodological framework. Int J Soc Res Methodol Theor Pract. 2005;8:19–32.

    Article  Google Scholar 

  17. Daudt HM, van Mossel C, Scott SJ. Enhancing the scoping study methodology: a large, inter-professional team’s experience with Arksey and O’Malley’s framework. BMC Med Res Methodol. 2013;13:48.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Liberati A, Altman DG, Tetzlaff J, et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration. BMJ. 2009;339:b2700.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Popay J, Roberts H, Sowden A, et al. Guidance on the Conduct of Narrative Synthesis in Systematic Reviews: A Product from the ESRC Methods Programme. 2006.

    Google Scholar 

  20. Gatenby SJ, Aaron JI, Morton GM, et al. Nutritional implications of reduced-fat food use by free-living consumers. Appetite. 1995;25:241–52.

    Article  CAS  PubMed  Google Scholar 

  21. Gatenby SJ, Aaron JI, Jack VA, et al. Extended use of foods modified in fat and sugar content: nutritional implications in a free-living female population. Am J Clin Nutr. 1997;65:1867–73.

    CAS  PubMed  Google Scholar 

  22. Golley RK, Hendrie GA. The impact of replacing regular- with reduced-fat dairy foods on children’s wider food intake: secondary analysis of a cluster RCT. Eur J Clin Nutr. 2012;66:1130–4.

    Article  CAS  PubMed  Google Scholar 

  23. Gunther CW, Legowski PA, Lyle RM, et al. Dairy products do not lead to alterations in body weight or fat mass in young women in a 1-y intervention. Am J Clin Nutr. 2005;81:751–6.

    CAS  PubMed  Google Scholar 

  24. Ebbeling CB, Feldman HA, Osganian SK, et al. Effects of decreasing sugar-sweetened beverage consumption on body weight in adolescents: A randomized, controlled pilot study. Pediatrics. 2006;117:673–80.

    Article  PubMed  Google Scholar 

  25. Raben A, Vasilaras TH, Moller AC, et al. Sucrose compared with artificial sweeteners: different effects on ad libitum food intake and body weight after 10 wk of supplementation in overweight subjects. Am J Clin Nutr. 2002;76:721–9.

    CAS  PubMed  Google Scholar 

  26. Wilson JF. Lunch eating behavior of preschool children. Effects of age, gender, and type of beverage served. Physiol Behav. 2000;70:27–33.

    Article  CAS  PubMed  Google Scholar 

  27. Harris JL, Schwartz MB, Ustjanauskas A, et al. Effects of serving high-sugar cereals on children’s breakfast-eating behavior. Pediatrics. 2011;127:71–6.

    Article  PubMed  Google Scholar 

  28. Johnstone AM, Shannon E, Whybrow S, et al. Altering the temporal distribution of energy intake with isoenergetically dense foods given as snacks does not affect total daily energy intake in normal-weight men. Br J Nutr. 2000;83:7–14.

    CAS  PubMed  Google Scholar 

  29. Ortinau LC, Culp JM, Hoertel HA, et al. The effects of increased dietary protein yogurt snack in the afternoon on appetite control and eating initiation in healthy women. Nutr J. 2013;12:71.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Vitaglione P, Lumaga RB, Montagnese C, et al. Satiating effect of a barley beta-glucan-enriched snack. J Am Coll Nutr. 2010;29:113–21.

    Article  CAS  PubMed  Google Scholar 

  31. Leahy KE, Birch LL, Rolls BJ. Reducing the energy density of an entree decreases children’s energy intake at lunch. J Am Diet Assoc. 2008;108:41–8.

    Article  PubMed  Google Scholar 

  32. Osterholt KM, Roe LS, Rolls BJ. Incorporation of air into a snack food reduces energy intake. Appetite. 2007;48:351–8.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Brauchla M, McCabe GP, Miller KB, et al. The effect of high fiber snacks on digestive function and diet quality in a sample of school-age children. Nutr J. 2013;12:153.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Zaveri S, Drummond S. The effect of including a conventional snack (cereal bar) and a nonconventional snack (almonds) on hunger, eating frequency, dietary intake and body weight. J Hum Nutr Diet. 2009;22:461–8.

    Article  CAS  PubMed  Google Scholar 

  35. Flood JE, Roe LS, Rolls BJ. The effect of increased beverage portion size on energy intake at a meal. J Am Diet Assoc. 2006;106:1984–90. discussion 90-1.

    Article  PubMed  Google Scholar 

  36. Rolls BJ, Roe LS, Meengs JS. Portion size can be used strategically to increase vegetable consumption in adults. Am J Clin Nutr. 2010;91:913–22.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Patel BP, Bellissimo N, Luhovyy B, et al. An after-school snack of raisins lowers cumulative food intake in young children. J Food Sci. 2013;78 Suppl 1:A5–A10.

    Article  CAS  PubMed  Google Scholar 

  38. Rolls BJ, Roe LS, Meengs JS. Salad and satiety: energy density and portion size of a first-course salad affect energy intake at lunch. J Am Diet Assoc. 2004;104:1570–6.

    Article  PubMed  Google Scholar 

  39. Savage JS, Fisher JO, Marini M, et al. Serving smaller age-appropriate entree portions to children aged 3-5 y increases fruit and vegetable intake and reduces energy density and energy intake at lunch. Am J Clin Nutr. 2012;95:335–41.

    Article  CAS  PubMed  Google Scholar 

  40. Fisher JO, Liu Y, Birch LL, et al. Effects of portion size and energy density on young children’s intake at a meal. Am J Clin Nutr. 2007;86:174–9.

    CAS  PubMed  PubMed Central  Google Scholar 

  41. Ebbeling CB, Garcia-Lago E, Leidig MM, et al. Altering portion sizes and eating rate to attenuate gorging during a fast food meal: effects on energy intake. Pediatrics. 2007;119:869–75.

    Article  PubMed  Google Scholar 

  42. Looney SM, Raynor HA. Impact of portion size and energy density on snack intake in preschool-aged children. J Am Diet Assoc. 2011;111:414–8.

    Article  PubMed  Google Scholar 

  43. Marchiori D, Waroquier L, Klein O. Smaller food item sizes of snack foods influence reduced portions and caloric intake in young adults. J Am Diet Assoc. 2011;111:727–31.

    Article  PubMed  Google Scholar 

  44. Marchiori D, Waroquier L, Klein O. “Split them!” smaller item sizes of cookies lead to a decrease in energy intake in children. J Nutr Educ Behav. 2012;44:251–5.

    Article  PubMed  Google Scholar 

  45. Stroebele N, Ogden LG, Hill JO. Do calorie-controlled portion sizes of snacks reduce energy intake? Appetite. 2009;52:793–6.

    Article  PubMed  PubMed Central  Google Scholar 

  46. Rolls BJ, Roe LS, Meengs JS, et al. Increasing the portion size of a sandwich increases energy intake. J Am Diet Assoc. 2004;104:367–72.

    Article  PubMed  Google Scholar 

  47. Tan SY, Mattes RD. Appetitive, dietary and health effects of almonds consumed with meals or as snacks: A randomized, controlled trial. Eur J Clin Nutr. 2013;67:1205–14.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. Sabaté J, Cordero-MacIntyre Z, Siapco G, et al. Does regular walnut consumption lead to weight gain? Br J Nutr. 2005;94:859–64.

    Article  PubMed  Google Scholar 

  49. Jaceldo-Siegl K, Sabate J, Rajaram S, et al. Long-term almond supplementation without advice on food replacement induces favourable nutrient modifications to the habitual diets of free-living individuals. Br J Nutr. 2004;92:533–40.

    Article  CAS  PubMed  Google Scholar 

  50. Johnston CS, Trier CM, Fleming KR. The effect of peanut and grain bar preloads on postmeal satiety, glycemia, and weight loss in healthy individuals: an acute and a chronic randomized intervention trial. Nutr J. 2013;12:35.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  51. Kirk TR, Burkill S, Cursiter M. Dietary fat reduction achieved by increasing consumption of a starchy food--an intervention study. Eur J Clin Nutr. 1997;51:455–61.

    Article  CAS  PubMed  Google Scholar 

  52. Matthews A, Hull S, Angus F, et al. The effect of ready-to-eat cereal consumption on energy intake, body weight and anthropometric measurements: results from a randomized, controlled intervention trial. Int J Food Sci Nutr. 2012;63:107–13.

    Article  PubMed  Google Scholar 

  53. Rosado JL, del RAM, Montemayor K, et al. An increase of cereal intake as an approach to weight reduction in children is effective only when accompanied by nutrition education: a randomized controlled trial. Nutr J. 2008;7:28.

  54. Farajian P, Katsagani M, Zampelas A. Short-term effects of a snack including dried prunes on energy intake and satiety in normal-weight individuals. Eat Behav. 2010;11:201–3.

    Article  PubMed  Google Scholar 

  55. Davy BM, Dennis EA, Dengo AL, et al. Water consumption reduces energy intake at a breakfast meal in obese older adults. J Am Diet Assoc. 2008;108:1236–9.

    Article  PubMed  PubMed Central  Google Scholar 

  56. Van Walleghen EL, Orr JS, Gentile CL, et al. Pre-meal water consumption reduces meal energy intake in older but not younger subjects. Obesity. 2007;15:93–9.

    Article  PubMed  Google Scholar 

  57. Bertenshaw EJ, Lluch A, Yeomans MR. Satiating effects of protein but not carbohydrate consumed in a between-meal beverage context. Physiol Behav. 2008;93:427–36.

    Article  CAS  PubMed  Google Scholar 

  58. Flood JE, Rolls BJ. Soup preloads in a variety of forms reduce meal energy intake. Appetite. 2007;49:626–34.

    Article  PubMed  PubMed Central  Google Scholar 

  59. Sichieri R, Paula Trotte A, De Souza RA, et al. School randomised trial on prevention of excessive weight gain by discouraging students from drinking sodas. Public Health Nutr. 2009;12:197–202.

    Article  PubMed  Google Scholar 

  60. Alinia S, Lassen AD, Krogholm KS, et al. A workplace feasibility study of the effect of a minimal fruit intervention on fruit intake. Public Health Nutr. 2011;14:1382–7.

    Article  PubMed  Google Scholar 

  61. Moore L, Tapper K. The impact of school fruit tuck shops and school food policies on children’s fruit consumption: a cluster randomised trial of schools in deprived areas. J Epidemiol Community Health. 2008;62:926–31.

    Article  CAS  PubMed  Google Scholar 

  62. Robinson E, Harris E, Thomas J, et al. Reducing high calorie snack food in young adults: a role for social norms and health based messages. Int J Behav Nutr Phys Act. 2013;10:73.

    Article  PubMed  PubMed Central  Google Scholar 

  63. de Graaf C, Hulshof T. Effects of weight and energy content of preloads on subsequent appetite and food intake. Appetite. 1996;26:139–51.

    Article  PubMed  Google Scholar 

  64. Blatt AD, Williams RA, Roe LS, et al. Effects of energy content and energy density of pre-portioned entrees on energy intake. Obesity (Silver Spring). 2012;20:2010–8.

    Article  CAS  Google Scholar 

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Acknowledgements

The authors would like to thank the assistance of the academic librarian, Carole Gibbs, who helped develop the search terms for this paper. The authors also would like to acknowledge that this work was supported by a National Health and Medical Research Council (NHMRC) Program Grant (631947).

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Authors and Affiliations

Authors

Corresponding author

Correspondence to Rebecca K. Golley.

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Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

JG, TW, BJ, RG made substantial contributions to conception and design, and interpretation of the studies; JG, TW, BJ, RG have been involved in drafting the manuscript or revising it critically for important intellectual content; all authors have read and approved the final manuscript.

Appendix 1: Search terms

Appendix 1: Search terms

Ovid: Medline

1. Diet/

2. Eating/

3. Drinking/

4. ((food adj1 intake) or food ingestion or eat$3 or food consumption).mp. [mp = title, abstract, original title, name of substance word, subject heading word, keyword heading word, protocol supplementary concept word, rare disease supplementary concept word, unique identifier]

5. exp Energy Intake/

6. (calorie intake or energy intake).mp. [mp = title, abstract, original title, name of substance word, subject heading word, keyword heading word, protocol supplementary concept word, rare disease supplementary concept word, unique identifier]

7. or/1–6

8. intervention$1.mp. [mp = title, abstract, original title, name of substance word, subject heading word, keyword heading word, protocol supplementary concept word, rare disease supplementary concept word, unique identifier]

9. Randomized Controlled Trials as Topic/

10. randomized controlled trial/

11. Random Allocation/

12. Double Blind Method/

13. Single Blind Method/

14. clinical trial/

15. controlled clinical trial.pt.

16. randomized controlled trial.pt.

17. multicenter study.pt.

18. clinical trial.pt.

19. exp Clinical Trials as topic/

20. (clinical adj trial$).tw.

21. ((singl$ or doubl$ or treb$ or tripl$) adj (blind$3 or mask$3)).tw.

22. randomly allocated.tw.

23. (allocated adj2 random$).tw.

24. systematic review/or systematic review.tw.

25. meta?analys$2.mp. or metaanalysis/[mp = title, abstract, original title, name of substance word, subject heading word, keyword heading word, protocol supplementary concept word, rare disease supplementary concept word, unique identifier]

26. or/8–25

27. (discretionary choice$1 or snack$1 or treat$1 or extra food$1 or non?core food$1 or “sometimes food$1” or energy dense or nutrient poor or EDNP or empty calor$3 or junk food$1 or unhealthy food$1 or soft drink$1 or sugar sweetened beverage$1 or SSB or soda or sugary drink$1 or fast?food$1 or take?away food$1).mp. [mp = title, abstract, original title, name of substance word, subject heading word, keyword heading word, protocol supplementary concept word, rare disease supplementary concept word, unique identifier]

28. (corn chip$1 or potato chip$1 or chocolate$1 or lollies or sweets or cake or yeast bun$1 or sweet biscuit$1 or hamburger$1 or burger$1 or donut$1 or doughnut$1 or fries or crisps or ice?cream$1 or pudding$1 or dessert$1).mp. [mp = title, abstract, original title, name of substance word, subject heading word, keyword heading word, protocol supplementary concept word, rare disease supplementary concept word, unique identifier]

29. exp Dietary Carbohydrates/

30. sugar.mp.

31. exp Sodium, Dietary/

32. salt.mp.

33. saturated fatty acid.mp.

34. (calorie intake or energy intake).mp. [mp = title, abstract, original title, name of substance word, subject heading word, keyword heading word, protocol supplementary concept word, rare disease supplementary concept word, unique identifier]

35. (diet$3 sucrose or high fructose corn syrup).mp. [mp = title, abstract, original title, name of substance word, subject heading word, keyword heading word, protocol supplementary concept word, rare disease supplementary concept word, unique identifier]

36. (diet$3 sodium or sodium chloride, diet$3).mp. [mp = title, abstract, original title, name of substance word, subject heading word, keyword heading word, protocol supplementary concept word, rare disease supplementary concept word, unique identifier]

37. High Fructose Corn Syrup/

38. Dietary Sucrose/

39. Fatty Acids/

40. or/27–39

41. (strateg$3 or behavio?r).mp. [mp = title, abstract, original title, name of substance word, subject heading word, keyword heading word, protocol supplementary concept word, rare disease supplementary concept word, unique identifier]

42. 7 and 26 and 40 and 41

43. limit 42 to (english language and humans)

44. limit 43 to (“preschool child (2 to 5 years)” or “child (6 to 12 years)” or “adolescent (13 to 18 years)” or “young adult and adult (19–24 and 19–44)” or “middle age (45 to 64 years)”)

Ovid: Embase

1. Diet/

2. Eating/

3. Drinking/

4. ((food adj1 intake) or food ingestion or eat$3 or food consumption).mp. [mp = title, abstract, original title, name of substance word, subject heading word, keyword heading word, protocol supplementary concept word, rare disease supplementary concept word, unique identifier]

5. exp Energy Intake/

6. (calorie intake or energy intake).mp. [mp = title, abstract, original title, name of substance word, subject heading word, keyword heading word, protocol supplementary concept word, rare disease supplementary concept word, unique identifier]

7. or/1–6

8. intervention$1.mp. [mp = title, abstract, original title, name of substance word, subject heading word, keyword heading word, protocol supplementary concept word, rare disease supplementary concept word, unique identifier]

9. Randomized Controlled Trials as Topic/

10. randomized controlled trial/

11. Random Allocation/

12. Double Blind Method/

13. Single Blind Method/

14. clinical trial/

15. (controlled clinical trial or randomzed controlled trial or multicent$2 study or clinical trial).mp. [mp = title, abstract, original title, name of substance word, subject heading word, keyword heading word, protocol supplementary concept word, rare disease supplementary concept word, unique identifier]

16. exp Clinical Trials as topic/

17. (clinical adj trial$).tw.

18. ((singl$ or doubl$ or treb$ or tripl$) adj (blind$3 or mask$3)).tw.

19. randomly allocated.tw.

20. (allocated adj2 random$).tw.

21. systematic review/or systematic review.tw.

22. meta?analys$2.mp. or metaanalysis/[mp = title, abstract, original title, name of substance word, subject heading word, keyword heading word, protocol supplementary concept word, rare disease supplementary concept word, unique identifier]

23. or/8–22

24. (discretionary choice$1 or snack$1 or treat$1 or extra food$1 or non?core food$1 or “sometimes food$1” or energy dense or nutrient poor or EDNP or empty calor$3 or junk food$1 or unhealthy food$1 or soft drink$1 or sugar sweetened beverage$1 or SSB or soda or sugary drink$1 or fast?food$1 or take?away food$1).mp. [mp = title, abstract, original title, name of substance word, subject heading word, keyword heading word, protocol supplementary concept word, rare disease supplementary concept word, unique identifier]

25. exp Dietary Carbohydrates/

26. (corn chip$1 or potato chip$1 or chocolate$1 or lollies or sweets or cake or yeast bun$1 or sweet biscuit$1 or hamburger$1 or burger$1 or donut$1 or doughnut$1 or fries or crisps or ice?cream$1 or pudding$1 or dessert$1).mp. [mp = title, abstract, original title, name of substance word, subject heading word, keyword heading word, protocol supplementary concept word, rare disease supplementary concept word, unique identifier]

27. sugar.mp.

28. exp Sodium, Dietary/

29. salt.mp.

30. saturated fatty acid.mp.

31. (calorie intake or energy intake).mp. [mp = title, abstract, original title, name of substance word, subject heading word, keyword heading word, protocol supplementary concept word, rare disease supplementary concept word, unique identifier]

32. (diet$3 sucrose or high fructose corn syrup).mp. [mp = title, abstract, original title, name of substance word, subject heading word, keyword heading word, protocol supplementary concept word, rare disease supplementary concept word, unique identifier]

33. (diet$3 sodium or sodium chloride, diet$3).mp. [mp = title, abstract, original title, name of substance word, subject heading word, keyword heading word, protocol supplementary concept word, rare disease supplementary concept word, unique identifier]

34. High Fructose Corn Syrup/

35. Dietary Sucrose/

36. Fatty Acids/

37. or/24–36

38. (strateg$3 or behavio?r).mp. [mp = title, abstract, original title, name of substance word, subject heading word, keyword heading word, protocol supplementary concept word, rare disease supplementary concept word, unique identifier]

39. 7 and 23 and 37 and 38

40. limit 39 to embase

41. limit 40 to (human and english language)

42. limit 41 to (preschool child <1 to 6 years > or school child <7 to 12 years > or adolescent <13 to 17 years > or adult <18 to 64 years>)

Ebscohost: CINAHL

Subject headings: Randomized controlled trial OR Random Assignment OR Double Blind Studies OR Single Blind Studies OR Clinical Trials OR Multicenter Studies OR Systematic Review OR Meta Analysis; Food Intake OR Diet OR Eating; Energy intake OR Fatty acids, Saturated, OR Dietary Sucrose OR High Fructose Corn Syrup OR Carbohydrates OR Glucose OR Sodium Chloride OR Salt; Intervention Trials; Eating Behavior

Keywords: Double-Blind Studies OR Intervention Trials OR Randomized Controlled Trials OR Single-Blind Studies OR Random Assignment OR Double Blind Studies OR Single Blind Studies OR Clinical Trials OR Phase 1 clinical trial OR Phase 2 clinical trial OR Phase 3 clinical trial OR Phase 4 clinical trial OR Controlled Clinical Trial OR Multicenter Studies OR Systematic Review OR Meta Analysis; Food Intake OR Diet OR Eating OR food ingestion or eat* or food consumption or discretionary choice* or snack* or treat* or extra food* or non#core food* or “sometimes food*” or energy dense or nutrient poor or EDNP or empty calor* or junk food* or unhealthy food* or soft drink* or sugar sweetened beverage* or SSB or soda or sugary drink* or fast#food* or take#away food* or corn chip* or potato chip* or chocolate* or lollies or sweets or cake or yeast bun* or sweet biscuit* or hamburger* or burger* or donut* or doughnut* or fries or crisps or ice#cream* or pudding* or dessert; Energy intake OR Fatty acids, Saturated, OR Dietary Sucrose OR High Fructose Corn Syrup OR Carbohydrates OR Table sugar OR Added sugar OR Glucose OR Sodium Chloride, Dietary OR Salt; Intervention Trials; Eating Behavior OR Strategy

Limit 2–64 years; English language; Academic Journals, Human

SCOPUS

((TITLE-ABS-KEY(Energy intake OR Saturated Fat OR sugar OR Salt or total fat)) AND (TITLE-ABS-KEY(Food Intake OR Diet OR discretionary choice or snack or treat or extra food or noncore food or energy dense or takeaway food or fast food or junk food or unhealthy food))) AND (TITLE-ABS-KEY(randomized controlled trials)).

Cochrane Library Database

Energy intake OR Saturated Fat OR sugar OR Salt or total fat: ti,ab,kw and Food Intake OR Diet OR discretionary choice or snack or treat or extra food or noncore food or energy dense or takeaway food or fast food or junk food or unhealthy food: ti,ab,kw and randomized controlled trials (Word variations have been searched).

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Grieger, J.A., Wycherley, T.P., Johnson, B.J. et al. Discrete strategies to reduce intake of discretionary food choices: a scoping review. Int J Behav Nutr Phys Act 13, 57 (2016). https://doi.org/10.1186/s12966-016-0380-z

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