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Tunneling, cognitive load and time orientation and their relations with dietary behavior of people experiencing financial scarcity – an AI-assisted scoping review elaborating on scarcity theory

Abstract

Background

The concept of a financial scarcity mindset has raised much attention as an explanation for poor decision-making and dysfunctional behavior. It has been suggested that financial scarcity could also impair dietary behavior, through a decline in self-control. Underlying cognitive mechanisms of tunneling (directing attention to financial issues and neglecting other demands), cognitive load (a tax on mental bandwidth interfering with executive functioning) and time orientation (a shift towards a present time horizon, versus a future time horizon) may explain the association between financial scarcity and self-control related dietary behavior. The current scoping review gathers recent evidence on how these mechanisms affect dietary behavior of people experiencing financial scarcity. It builds on a theoretical framework based on insights from behavioral economics and health psychology.

Methods

A literature search was executed in six online databases, which resulted in 9.975 papers. Search terms were tunneling, cognitive load and time orientation, financial scarcity, and dietary behavior. Screening was performed with ASReview, an AI-ranking tool. In total, 14 papers were included in the scoping review. We used PRISMA-ScR guidelines for reporting.

Results

Limited evidence indicates that a scarcity mindset could increase tunneling, through attentional narrowing on costs of food, which then directly impacts dietary behavior. A scarcity mindset involves experiencing financial stress, which can be understood as cognitive load. Cognitive load decreases attentional capacity, which could impair self-control in dietary choices. Financial scarcity is related to a present time orientation, which affects dietary choices by shifting priorities and decreasing motivation for healthy dietary behavior.

Conclusions

A scarcity mindset affects dietary behavior in different ways. Tunneling and a shift in time orientation are indicative of an attentional redirection, which can be seen as more adaptive to the situation. These may be processes indirectly affecting self-control capacity. Cognitive load could decrease self-control capacity needed for healthy dietary behavior because it consumes mental bandwidth. How a changing time orientation when experiencing financial scarcity relates to motivation for self-control in dietary behavior is a promising theme for further inquiry.

Background

Introduction

Dietary behavior inconsistent with recommendations for healthy diets (further referred to as ‘healthy dietary behavior’), such as eating too much high caloric foods, and too little fruits and vegetables, is more prevalent among people with low socioeconomic positions [1, 2] and is widespread in high income countries in Europe and the US [3, 4]. Several factors have been appointed as drivers for these inequalities in dietary behavior, such as (perceived) higher costs of healthy foods [5,6,7,8,9], stress and poor sleep due to economic constraints [10,11,12], or living in a socio-economically deprived area [13].

The scarcity theory

In 2013 Mullainathan and Shafir introduced the concept of financial scarcity mindset, which can be defined as an alteration of the way people think and act as a result of the feeling of having too little financial means to make ends meet. It may lead to counterproductive decision making through tunneling (directing attention towards what is scarce and neglecting other information), cognitive load (which taxes available cognitive bandwidth, impairing executive functions) and a shift in time orientation towards being more present oriented versus more future oriented [14]. A scarcity mindset could disrupt self-control exertion because it consumes limited cognitive bandwidth that is also necessary to abstain from temptations and to focus on long-term goals [15,16,17,18,19,20]. Empirical evidence that financial scarcity is negatively related to self-control is building [21, 22], although self-control was not always reduced in economic scarce conditions [23, 24].

Self-control capacity contributes to diet quality, because exerting self-control helps people to abstain from eating palatable foods [25,26,27,28,29,30,31,32,33,34,35,36,37,38]. Self-control is defined as ‘the capacity to handle dilemmas, between pursuing longer-term goals over instant gratification, by choosing and acting upon a larger but delayed reward over a smaller but sooner one, therefore delaying gratification’ [39, 40]. Although the heritability of self-control is as much as 60% [41] self-control is not entirely static. Exerting self-control can be more difficult due to e.g., lack of sleep [42] a high cognitive load [43, 44] or processes that interfere with motivation or attention [31]. Self-control involves several processes, such as initiating plans and actions to pursue desired goals and ignoring or restraining distracting impulses [45, 46].

It has been suggested that financial scarcity is also related to dietary choices that are inconsistent with recommendations for health [4, 24, 47,48,49]. A recent study among Dutch adults reported a negative association between financial scarcity and dietary quality. Further, the variance in dietary quality was better explained by a model of the Theory of Planned Behavior including food insecurity and/or financial scarcity [50]. Self-control may affect this association [10, 17, 18, 51,52,53,54,55]. However, empirical evidence is scarce and the limited studies that have tested the hypothesis that financial scarcity impairs dietary behavior through a declined self-control capacity found that the mediating role of self-control is limited in size [22] and different for women and men [56].

The scarcity theory states that the cognitive mechanisms of tunneling, cognitive load and time orientation explain when, how and why self-control failures occur [14] and it is widely accepted that self-control capacity is needed for healthy dietary behavior [31]. However, to what extent and how these mechanisms explicitly or differentially influence the dietary choices of people experiencing financial scarcity has hardly been studied. A few recent reviews touch upon the scarcity mindset and offer a first glimpse of how these processes may operate. Laraia, Leak, Tester & Leung [11] and Kraft & Kraft [55] explored the role of biobehavioral (e.g. stress and lack of sleep, which affect hormonal and immune responses), and psychological factors (e.g. cognitive load and time orientation eliciting self-control failures) affecting diet quality of people with low incomes [11, 55]. Others demonstrated that financial scarcity affects neural processes involved in goal-directed decisions concerning the willingness to pay for familiar food items [57].

To further advance the understanding how a scarcity mindset may impair dietary behavior, a scoping review was conducted to systematically explore the available evidence on the associations between tunneling, cognitive load and time orientation respectively, and dietary choices of people in a scarcity mindset. By focusing on a financial scarcity mindset, we go beyond socioeconomic positions in society. We take ‘the subjective experience of having too little financial resources’ [14] as a central starting point and synthesize current evidence of the role of tunneling, cognitive load and time orientation in dietary behavior of people experiencing financial scarcity.

Theoretical framework

The scoping review builds on a theoretical framework which integrates what is already known about how, among adults, financial scarcity affects self-control through tunneling, cognitive load and time orientation (visualized in Fig. 1 as block 1), and how these processes affect self-control in the context of dietary behavior (block 2). We connect these bases of evidence which are grounded in behavioral economics and health psychology and conclude our framework with premises about how dietary behavior of people experiencing financial scarcity could be affected through tunneling, cognitive load and time orientation.

Fig. 1
figure 1

Theoretical framework applying scarcity theory to self-control related dietary behavior

Block 1—What is known about how financial scarcity affects self-control through tunneling, cognitive load and time orientation

The scarcity theory posits that attentional resources are allocated to financial demands, and that other information is often neglected, since the ability to focus and withhold information is restricted by available working memory capacity. This process is known as ‘tunneling’ [14]. When experiencing scarcity, reducing scarcity becomes a powerful objective, and suppresses other equally important, but less urgent objectives [14]. Since self-control requires focus and attention, and attentional capacity is consumed by financial demands, self-control execution becomes more difficult [58, 59]. There is growing evidence for attentional narrowing. People having too little financial resources shift their attention to thinking about money-related issues and to resolving these shortages [60,61,62,63,64,65,66]. However, the suggestion that the focus on urgent needs also leads to the neglect of other information, seems not to be fully supported by evidence [67, 68].

Financial scarcity is associated with constant worrying [14, 21, 63, 65, 67]. Continuous thoughts about insufficient resources and coping with demands, can be seen as cognitive load because it occupies cognitive capacity by holding information in working memory [69]. Cognitive load impairs decision-making of people experiencing scarcity, because it becomes harder to deploy executive functions such as selective attentionFootnote 1and self-control [21, 42, 58, 68, 73,74,75].

People are understood to behave more present oriented [21, 76] and less patient [64, 77,78,79] when experiencing financial scarcity versus a situation of affluence. Furthermore, people tend to discount future rewards more steeply when experiencing financial scarcity [67, 80,81,82,83,84,85]. These findings do not imply that people experiencing financial scarcity cannot consider future consequences. Several studies show that when the circumstances or future perspectives are more certain and predictable, people opt for later rewards [86,87,88,89].

Block 2—What is known about how tunneling, cognitive load and time orientation affect self-control in the context of dietary behavior

Managing attention, which is a more common construct in research on health behavior than ‘tunneling’, is required for self-control related imminent dietary decisions [26, 90,91,92,93]. Also, cognitive load has a critical role in self-regulatory eating behavior. A reduced cognitive capacity by applying cognitive load promotes unhealthy food choices [44, 94,95,96,97,98]. However, some studies report no effects of cognitive load [99, 100] and others report both disrupting and enhancing effects on dietary choices due to information processing biases [101,102,103,104]. For example, cognitive load may impede the capacity to recognize the immediate pleasure of giving into temptations [17, 70].

A present time orientation is related to more unhealthy dietary choices [105,106,107,108,109,110] and a future time orientation is related to preferences for healthier foods [111]. A present time orientation makes it more difficult to exert self-control in forthcoming challenging situations despite intentions to make healthy choices. This may be because the explicit immediate benefits of indulgence, and at the same time, the less tangible rewards of foregoing the instant gratification [112].

Premises on how dietary behavior of people experiencing financial scarcity could be affected through tunneling, cognitive load and time orientation

While hunger makes eating a recurring immediate demand, the planning needed for doing groceries, choosing a balanced menu taking account of nutritional values, and preparing healthy meals may not seem urgent when these compete with paying attention to solving financial dilemmas. Specifically in our contemporary obesogenic environment, scarcity induced tunneling may shift attention away from dietary quality demands, and cognitive load may impair attentional capacity. When attentional resources are burdened, it may be harder to pay attention to nutritional aspects of foods and stick to dietary goals, increasing the risk of indulgence. Furthermore, buying, preparing, and consuming healthy meals may be less rewarding for people experiencing financial scarcity because the costs in time, effort and expenditures are imminent, while the future effects of malnutritious diets are less certain.

Methods

The review followed the PRISMA-ScR reporting guidelines for scoping reviews [113]. To identify relevant literature search strings were built together with an experienced information specialist of the University of Applied Sciences Utrecht to search PubMed, Embase, CINAHL, PsycINFO, Academic Search Complete and Web of Science. All search strings were published on searchRxiv [114,115,116,117,118,119]. Searching the six databases resulted in 10.856 papers of which 9.975 remained after removing duplicates in Zotero. The search was updated in July 2023 to include the most recent evidence.

In the identification phase we defined financial scarcity, tunneling, cognitive load, time orientation, and dietary behavior as key concepts and defined relevant synonyms.Footnote 2 Synonyms for financial scarcity were, for example, financial dissatisfaction, financial stress, financial strain, socioeconomic status, and income. We defined food acquisition, food preparation, and food consumption as manifestations of dietary behavior. Synonyms for dietary behavior were, for example, nutritional behavior, food acquisition, food consumption, dietary choice, and dietary quality.

Papers which met the eligibility criteria for inclusion were studies in which the combination of financial scarcity and dietary behavior and one or more cognitive mechanisms were studied. Included were papers published in peer-reviewed journals presenting outcomes based on both quantitative and qualitative research methods, working papers and dissertations. No limitations on the year of publication or language were used.

Excluded were papers not reporting direct empirical evidence and papers reporting on food insecurity, because the accessibility of adequate food could alter cognitive processes and effects on dietary behavior. Also excluded were papers reporting on populations such as children and adolescents, because their executive functions are not fully developed, and their (perception of) financial circumstances and cognitive processes deviate from adults. Papers reporting on people suffering mental or physical illness, or with pathological dietary behavior, were excluded because cognitive processes may be affected by the illness.

The screening phase was conducted by the first author with ASReview, an open-source tool based on AI [120, 121]. With ASReview the references of all 9.975 papers were ranked and screened. ASReview is relatively new but has been used in several systematic reviews [122, 123] and was considered accurate and efficient [124, 125].

ASReview continuously ranks the references based on the assessment by the author of abstracts as potentially relevant or irrelevant, following the eligibility criteria. The SAFE-procedureFootnote 3 was followed to screen the abstracts, which contains of four steps, with a different heuristic for the number of abstracts to screen in each step [126].Footnote 4

After concluding the SAFE-procedure 75 out of 9.975 papers were marked as potentially relevant. Then, the first author read the abstracts or the full texts of the 75 papers. A total of 11 papers met the eligibility criteria and 3 additional records were found. Thus, 14 full-text papers were included in the review (Fig. 2). Data abstraction was conducted by defining characteristics of the papers, such as a description of all variables, the research method, population, and conclusion.

Fig. 2
figure 2

Selection process literature search

Results

Data-synthesis was conducted by grouping the included 14 articles by the mechanism they described: tunneling, cognitive load and/or time orientation and then by bringing together the main findings of the studies based on information about the study design, population, assessment of financial scarcity, main outcomes, and role of self-control. We also gave an indication of to what extent and how the main findings of the 14 articles provided support for scarcity theory (Appendix).

How tunneling may affect dietary behavior when experiencing financial scarcity

Only one qualitative study brought forward insights of how tunneling and other financial scarcity mechanisms could impact dietary choices (see Table 1 in Appendix). Folta, Anyanwu, Pustz, Oslund, Penkert, & Wilson (2022) questioned 18 people about their food acquisition and found that participants invested considerable time and effort in obtaining foods at low costs and focused on costs above preferences and nutritional value. Thus, dietary choices did not seem to be driven by attentional neglect of nutritional facts or a lack of self-control. Rather, nutritional value was considered a lower priority in most cases, but exceptions were seen when participants experienced health problems [127]. The authors concluded this behavior was indicative of tunneling, triggering the higher prevalence of unhealthy dietary choices. The field experiment of Dominguez-Viera, Van den Berg, Handgraaf & Donovan (2023) supports these findings as most participants in their study were able to recall nutritional information when poverty concerns were manipulated, indicating attentional neglect was not an issue [128].

How cognitive load may affect dietary behavior when experiencing financial scarcity

Evidence for the effects of cognitive load on dietary behavior of people experiencing financial scarcity stems from four experimental and two qualitative studies [95, 127,128,129,130,131] (see Table 2 in Appendix ). Self-control was only indirectly measured in two studies, and three studies pointed to other mechanisms than self-control as a driver for dietary choices. Cognitive load was shown to affect dietary choices when experiencing financial scarcity in two of the six studies.

Zimmerman & Shimoga (2014) suggested that people with lower socioeconomic positions could be more vulnerable to food advertising when cognitive load conditions are manipulated in comparison to people of higher socioeconomic positions, because cognitive load may magnify the effects of advertising malnutritious food. In their experiment participants of below-median-ses in high cognitive load conditions chose 84% more unhealthy snacks (with a mean of 143 more calories) when having watched food-advertising in comparison to those who didn’t watch food-advertising. The results among the above-median-ses were completely different; they chose 81% more of the healthy snacks after watching food-advertising. The researchers suggested that the daily hassles of living in poverty may resemble the experimentally induced effects of cognitive load [95]. Poulter, Eberhardt, Moore & Windgassen (2022) pointed out cognitive load as a risk factor for healthy dietary behavior. Cognitive load in the form of constant juggling and worrying in the context of limited budgets was reported by working adults living around the poverty threshold and was associated with reduced dietary quality. Grocery shopping coincided with substantive planning depending on costs and perishability. Besides the cognitive burden of job insecurity and low wages, the participants prioritized the dietary health needs of their children above their own, their health needs being the least important demand to be considered. These factors resulted in unhealthy diets, even when experiencing health problems and recognizing the importance of a balanced diet [130].

Four studies did not find an effect of cognitive load on dietary choices. Briers & Laporte (2013) manipulated financial satisfaction in a series of experiments with students to explore the interchangeability of the need for money with the need for energy dense foods. Participants who were financially dissatisfied ate significantly more high caloric food, especially when they regarded financial means as providing a feeling of security. Food energy was valued more in these conditions, and people experiencing financial dissatisfaction preferred higher-caloric foods more than financially satisfied people. The researchers imposed cognitive load with a digit recalling task in one of the experiments, but they found no moderation effect of cognitive load on the association between financial dissatisfaction and consumption of high caloric food [129]. Also, Folta, et al. (2022) didn’t find that cognitive load has a role in food choices in their qualitative study about the associations between financial scarcity and food acquisition. This may be related to the fact that the participants did not report high levels of stress and had abundant time to consider their purchases [127]. In their field-experiment in Mexico-city Dominguez-Viera et al. (2023) induced poverty related concerns on primary household shoppers and found that this reduced the willingness to pay for a healthy variant of packaged bread. Increased stress but not cognitive load mediated this association. Furthermore, the manipulation did not alter the ability to recall nutritional and health aspects [128]. In an online experiment of Pechey & Marteau (2018) in which main and interaction effects of socioeconomic status and cognitive load with the availability of healthier versus less healthy snacks on food choice were tested, no effects were perceived [131].

How time orientation may affect dietary behavior when experiencing financial scarcity

Eight studies have investigated the associations between dietary acquisition and consumption and time orientation of participants in financial scarcity conditions (Appendix, Table 3). Time orientation is often measured by the extent of discounting future rewards, which means the preference for smaller immediate rewards versus delayed but larger rewards, for example, choosing 75 dollars now versus 125 dollars in a year. Four studies used an experimental design, two a cross-sectional design and two a qualitative design. Self-control was only mentioned in the qualitative studies. Four studies are indicative of an effect of time orientation on dietary behavior in situations of financial scarcity. The other four studies did not provide evidence for an effect: however, two of these assessed income in their design, which is a rather distal and objective proxy for financial scarcity.

Mellis, Athamneh, Stein, Sze, Epstein & Bickel (2018) manipulated a situation of acute scarcity by letting participants with obesity read a narrative about being let down and having to spend all savings to move to another part of the country. In comparison to the income-neutral event, in the scarcity condition the participants showed a declined ability to delay gratification and a higher demand for fast food [132]. Laran & Salerno (2013) demonstrated that when participants were primed to think of environmental harshness coupled with thoughts on short duration, relatively more participants would choose high filling foods as opposed to participants thinking of harshness coupled with thought on longer duration. This suggests that when primed to think about the present in environmentally harsh conditions people will be more prone to choose unhealthy foods. Interestingly, when people were primed to think of the future in the same environmentally harsh condition, a higher proportion chose the healthier variant of the proposed foods. The authors suggest that a present time orientation is related to resource seeking (in money or food) not in pleasure seeking. Choosing high caloric food may therefore be considered functional instead of the consequence of a lack of self-control [133]. The effects of present time orientation were also self-reported in a qualitative study of Kaplan, Madden, Mijanovich & Purcaro (2013). When asked about the processes contributing to overeating, 56 adults living in a deprived neighborhood reported high levels of chronic stress, partly due to finances. The participants indicated that these stressors resulted in disinhibited eating and that discounting the future and self-control problems were two of the processes driving the behavior. First, the lack of future perspectives made it seem pointless to invest time and energy in eating healthily and second, the participants experienced so many daily difficulties that they felt depleted and therefore were less resistant to temptations, even while recognizing the risks [134]. These daily stressors could also be an indication of tunneling or cognitive load. Another qualitative study supported these findings. Dumas, Robitaille & Jette (2014) interviewed 15 Canadian women living in underprivileged areas, most of them unemployed. The women reported struggling with financial responsibilities and prioritizing imminent needs instead of future health. The authors indicated that a present bias explained choices regarding food acquisition and weight management that are inconsistent with dietary recommendations [135].

Other studies have contradictory outcomes. A study of Sze, Stein, Bickel, Paluch & Epstein (2017) showed that when primed to think about personalized positive future events, participants valued future health benefits more, even when experiencing financial scarcity. Also, in the scarcity condition participants showed higher delay discounting. However, participants showed lower demand intensity in the scarcity condition [136]. In an experiment of Stein, Craft, Paluch, Gatchalian, Greenawald, Quattrin, Mastrandea, Epstein & Bickel (2021) the effect of scarcity on time orientation was seen, but they did not find a subsequent effect on dietary choices [137]. Appelhans, Tangney, French, Crane & Wang (2019) executed a household food shopper study in which the food purchases of primary household shoppers were registered for 14 days, and they measured discounting with a monetary reward task. They found discounting rates to be positively associated with buying more malnutritious foods. This association, however, was not moderated by a poverty-to-income ratio [107]. In a survey study, Shuval, Stoklosa, Pachucki, Yaroch, Drope & Harding (2016) demonstrated that respondents with a present time perspective consumed fast food more frequently. A significant relationship between time preference and fast food consumption was found only in the middle-income category [138].

Synthesis of results

The evidence presented points to various potentially disrupting effects of financial scarcity on dietary behavior via tunneling, cognitive load and time orientation. Tunneling seems to be restricted to attentional narrowing through focusing on the costs of food in food acquisition. Evidence was not found for attentional neglect nor for effects of tunneling on food preparation and food consumption. A focus on the costs of food is indicative of reasoned rather than impulsive decision-making in food acquisition, suggesting that self-control in eating behavior was not affected by tunneling. When cognitive load is explained as the burden of chronic stress that accompanies financial problems or insecurities, it could impair dietary behavior because it captures attentional capacity. Evidence of the latter is, however, inconclusive, since focusing on financial problems could also distract people from palatable food cues. Finally, financial scarcity could increase discounting of health benefits. Evidence suggests that when burdened with financial strain, the future consequences of dietary choices are perhaps discarded because of a perceived lack of prospect in the long term, suggesting a shift in priorities to immediate gratification and a loss of motivation for following up recommendations for healthy diets. Figure 3 visualizes our synthesis.

Fig. 3
figure 3

Synthesis of results

Discussion

Summary of evidence

Our scoping review leads to several findings. First, the single study included on scarcity induced tunneling suggested that costs of food products are prioritized in food acquisition, suggesting a shift in attention, not a loss of self-control per se. Therefore, we cannot assume that when experiencing financial scarcity, people ignore or are unaware of information outside their ‘tunnels’, such as an advertisement for, or the nutritional value of (un)healthy products. Second, cognitive load may interfere with selective attention and adhering to dietary goals. When experiencing scarcity, cognitive load occupies mental resources needed for executive functioning, possibly interfering with self-control. However, research on the association between cognitive load and food choices is not unequivocal. Third, financial scarcity affects time orientation. Attention shifts not only to the problem at hand, but also to the present, resulting in a present time orientation. This may also affect the way people perceive the future consequences of dietary choices. Engaging in healthy dietary behavior may seem less urgent, which reduces the motivation to stick with long-term goals related to healthy eating behavior.

Directions for future research

We reported some qualitative studies involving people living in poverty which showed how the mechanisms of tunneling, cognitive load and time orientation coincided and affected healthy diets. However, we could not make a firm conclusion about how these cognitive mechanisms may interact with each other. Since tunneling shifts attention and cognitive load diminishes attentional capacity, such interaction effects can be a promising new line of inquiries.

Furthermore, many participants in the qualitative studies reported that having to deal with financial problems day after day made it difficult to focus on long-term health goals. Therefore, research into the role of time orientation may provide further insights in understanding how perceptions of the present and future affect dietary behavior when experiencing financial scarcity. A possible angle may be looking at the extent to which this process is value-driven or awareness-driven [139]. When a person considers the future as less reliable, future outcomes will lose their value. This may lead to a decline in motivation to eat healthily. But a person may also simply not be aware of the future, because it is not in their tunnel. In this sense, preferring immediate rewards may appear as impulsive behavior, but in fact is rational behavior that is explained by the fact that people have actual constraints, such as liquidity problems [140, 141].

Further research is needed to explore how dietary behavior interventions can restore and increase motivation for following up recommendations for healthy diets by people experiencing financial scarcity. Even when people experiencing financial scarcity know that healthy eating behavior is important to prevent chronic illnesses, and they express a will to pursue high diet quality [142], doing so requires constant attention and self-control. Interventions that reduce financial scarcity and help build habits in healthy dietary patterns may relieve and circumvent the strain on mental bandwidth in these situations [143, 144].

Evidence for the nature of associations and the extent to which cognitive mechanisms affect dietary behavior of people experiencing financial scarcity is still very limited. A first step we recommend is building theoretical frameworks that explain when, how and why cognitive mechanisms elicited in a financial scarcity mindset affect self-control related dietary choices. These frameworks should enhance the use of carefully defined constructs and describe the underlying behavioral and psychological mechanisms more precisely. Secondly, we recommend experiments and field studies to elaborate on the strength of the associations between financial scarcity and dietary behavior, through cognitive mechanisms. Field studies should be conducted to better represent the enduring and evasive nature of financial scarcity. Finally, we recommend qualitative studies with people experiencing financial scarcity that help understand the drivers and obstacles in goal-directed behavior for maintaining a healthy diet.

Strength and limitations

Our synthesis of the literature fits to current theoretical approaches as life history theory [145,146,147,148] and reinforcer pathology [149,150,151] that suggest that in situations of financial scarcity dietary behavior could be affected through shifts in attention and priorities, making dietary choices more adaptive to or logical consequences of energy-consuming insecure and unstable situations [152, 153], suggesting that dietary decisions of people experiencing financial scarcity could be both instrumental and stress-driven.

The limited number of studies prevent us from making firm conclusions on the role of tunneling, cognitive load and time orientation, elicited by financial scarcity, on dietary behavior. Results should be interpreted with caution, because there are limitations in the generalization of the research outcomes of the included papers, due to the large variability of studies in terms of operationalization of the key concepts and the design of the studies.

First, recent studies did not use a single concept of financial scarcity. The context of financial scarcity differs, as it can be evoked by relative deprivation [154], income uncertainty [60], negative income shocks [132, 136], or anticipated future shortcoming of available financial resources [84] and poverty-related cues [155, 156]. Furthermore, to explain the behavioral consequences of financial scarcity, using income as a measure may not suffice. The lack of a single definition or operationalization applies to the concepts of self-control, tunneling, cognitive load and time orientation as well, possibly interfering with the validity of research outcomes [157, 158].

Second, our review included studies using experimental designs which have their limitations. Financial scarcity can be much more evasive and enduring than when elicited temporarily. Cognitive load is also often temporarily induced on study participants. Furthermore, in experiments considering the role of attention on eating behavior, people (whether ‘rich’ or ‘poor’) usually get a choice in what and how much they want to eat. In the real world, people with financial strains are limited by their budgets and they will have to choose (long) before consumption. Therefore, laboratory studies are likely to underestimate the consequences of financial scarcity on eating patterns.

Conclusions

The scarcity theory has brought a new perspective on the impact of financial scarcity on decision-making and behavior. We provide a thorough basis for the current assumption that a focus on the here and now interferes with diet quality when experiencing financial scarcity. Empirical research testing this assumption is relatively new and up till now very limited. In synthesizing the evidence, the scoping review addresses the potential relevance of cognitive processes driving dietary behavior-related decisions in financially demanding situations.

Appendix

Table 1 Literature overview of the impact of financial scarcity induced tunneling on dietary behavior
Table 2 Literature overview of the impact of financial scarcity induced cognitive load on dietary behavior
Table 3 Literature overview of the impact of financial scarcity induced time orientation on dietary behavior

Availability of data and materials

Not applicable. The complete search strategy is available from the corresponding author on reasonable request.

Notes

  1. In this sense, we see ‘selective attention’ as an executive function and distinguish it from tunneling or narrowing attention. We see tunneling as an instrumental process, regardless of the presence of cognitive load. We recognize that apart from tunneling, cognitive load may affect the ability to pay selective attention to a certain task or goal [70,71,72].

  2. We were interested in papers on the three key concepts of tunneling, cognitive load and time orientation. Therefore, we did not include self-control as a separate obligatory concept in the search string, to prevent a too narrow search string and assuming that relevant papers on the three key concepts would include papers on self-control.

  3. SAFE is an acronym which stands for the four steps of Screening, Apply (with active learning based on TF IDF Naïve Bayes model), Find (with deep learning based on Sentence BERT model) and Evaluate. The Evaluation phase can be seen as a reliability check.

  4. The SAFE-procedure was developed by Boetje en Van de Schoot to improve the efficiency of the screening process. The procedure minimizes the risk of missing potentially relevant papers and reduces the number of irrelevant abstracts that need to be screened. This means that after screening the advised number of abstracts, chances are very low that when proceeding the screening, potentially relevant papers are found. A publication on the procedure is available as preprint [126].

Abbreviations

AI:

Artificial Intelligence

SAFE-procedure:

Screening Apply Find and Evaluate

SES:

Socioeconomic Status

References

  1. Darmon N, Drewnowski A. Contribution of food prices and diet cost to socioeconomic disparities in diet quality and health: a systematic review and analysis. Nutr Rev. 2015;73(10):643–60.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Pampel FC, Krueger PM, Denney JT. Socioeconomic Disparities in Health Behaviors. Annual Rev Soc. 2010;36(1):349–70.

    Article  Google Scholar 

  3. Giskes K, Avendano M, Brug J, Kunst AE. A systematic review of studies on socioeconomic inequalities in dietary intakes associated with weight gain and overweight/obesity conducted among European adults. Obesity Rev. 2009;11:413–29.

    Article  Google Scholar 

  4. Bratanova B, Loughnan S, Klein O, Claassen A, Wood R. Poverty, inequality, and increased consumption of high calorie food: Experimental evidence for a causal link. Appetite. 2016;100:162–71.

    Article  PubMed  Google Scholar 

  5. Dijkstra SC, Neter JE, Brouwer IA, Huisman M, Visser M, van Lenthe FJ, et al. Socio-economic differences in the change of fruit and vegetable intakes among Dutch adults between 2004 and 2011: the GLOBE study. Public Health Nutr. 2018;21(9):1704–16.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Kamphuis CBM, Turrell G, Giskes K, Mackenbach JP, van Lenthe FJ. Socioeconomic inequalities in cardiovascular mortality and the role of childhood socioeconomic conditions and adulthood risk factors: a prospective cohort study with 17-years of follow up. BMC Public Health. 2012;5(12):1045–1045.

    Article  Google Scholar 

  7. Waterlander WE, de Mul A, Schuit AJ, Seidell JC, Steenhuis IHM. Perceptions on the use of pricing strategies to stimulate healthy eating among residents of deprived neighbourhoods: a focus group study. Int J Behav Nut Physical Activity. 2010;7(1):44.

    Article  Google Scholar 

  8. Bukman AJ, Teuscher D, Feskens EJM, van Baak MA, Meershoek A, Renes RJ. Perceptions on healthy eating, physical activity and lifestyle advice: opportunities for adapting lifestyle interventions to individuals with low socioeconomic status. BMC Public Health. 2014;14(1):1036.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Lee AJ, Kane S, Ramsey R, Good E, Dick M. Testing the price and affordability of healthy and current (unhealthy) diets and the potential impacts of policy change in Australia. BMC Public Health. 2016;16(318):315.

    Article  PubMed  PubMed Central  Google Scholar 

  10. O'Neill JL. Financial scarcity, eating self-regulation, and obesity: A proposed model. State University of New York at Buffalo. New York: ProQuest Dissertations Publishing; 2021.

  11. Laraia BA, Leak TM, Tester JM, Leung CW. Biobehavioral Factors That Shape Nutrition in Low-Income Populations. Am J Prev Med. 2017;52(2S2):S118–26.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Breland JY, McAndrew LM, Gross RL, Leventhal H, Horowitz CR. Challenges to healthy eating for people with diabetes in a low-income. Diabetes Care. 2013;36(10):2895–901.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Giskes K, van Lenthe F, Avendano-Pabon M, Brug J. A systematic review of environmental factors and obesogenic dietary intakes among adults: are we getting closer to understanding obesogenic environments? Obes Rev. 2011;12(5):e95–106.

    Article  CAS  PubMed  Google Scholar 

  14. Mullainathan S, Shafir E. Scarcity: why having too little means so much. 1st ed. New York: Times Books/Henry Holt and Co.; 2013.

  15. Vohs KD, Faber RJ. Spent Resources: Self-Regulatory Resource Availability Affects Impulse Buying. J Consumer Res. 2007;33(4):537–47.

    Article  Google Scholar 

  16. Pocheptsova A, Amir O, Dhar R, Baumeister RF. Deciding without resources: resource depletion and choice in context. J Market Res. 2009;46(3):344–55.

    Article  Google Scholar 

  17. Laran J. Self-control: Information, priorities, and resources. Consumer Psychol Rev. 2020;3(1):91–107.

    Article  Google Scholar 

  18. Vohs KD. Psychology The poor’s poor mental power. Science. Sci. 2013;341(6149):969–70.

    Article  ADS  CAS  Google Scholar 

  19. Haushofer J, Fehr E. On the psychology of poverty Science. Sci. 2014;344(6186):862–7.

    Article  ADS  CAS  Google Scholar 

  20. Spears D. Economic Decision-Making in Poverty Depletes Behavioral Control. BE J Econ Anal Policy. 2011;11(1):1–42.

    MathSciNet  Google Scholar 

  21. van Dijk WW, van der Werf M, van Dillen L, NIAS_library. The Psychological Inventory of Financial Scarcity (PIFS) A psychometric evaluation. J Behav Expe Eco. 2022;101:101939.

    Article  Google Scholar 

  22. Beenackers M, Groeniger JO, Lenthe F, Kamphuis C. The role of financial strain and self-control in explaining health behaviours: The GLOBE study. Eur J Public Health. 2018;28(4):597–603.

    Article  PubMed  Google Scholar 

  23. Gillebaart M, De Ridder DTD. Distinguishing between self-control and perceived control over the environment to understand disadvantaged neighbourhood health and lifestyle outcomes. Psychol Health. 2019;34(11):1282–93.

    Article  PubMed  Google Scholar 

  24. van Rongen S, Verkooijen K, de Vet E. Dealing with Too Little: The Direct Experience of Scarcity does not Affect Snack Intake. Appl Psychol Health Well Being. 2019;11(3):459–83.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Will Crescioni A, Ehrlinger J, Alquist JL, Conlon KE, Baumeister RF, Schatschneider C, et al. High trait self-control predicts positive health behaviors and success in weight loss. J Health Psychol. 2011;16(5):750–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Hofmann W, Friese M, Roefs A. Three ways to resist temptation: The independent contributions of executive attention, inhibitory control, and affect regulation to the impulse control of eating behavior. J Exp Soc Psychol. 2009;45(2):431–5.

    Article  Google Scholar 

  27. Allan JL, McMinn D, Daly M. A Bidirectional Relationship between Executive Function and Health Behavior: Evidence, Implications, and Future Directions. Front Neurosci. 2016;10:386.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Dohle S, Diel K, Hofmann W. Executive functions and the self-regulation of eating behavior: A review. Appetite. 2018;124:4–9.

    Article  PubMed  Google Scholar 

  29. Riggs NR, Sakuma KK, Pentz MA. Preventing Risk for Obesity by Promoting Self-Regulation and Decision-Making Skills. Eval Rev. 2007;31(3):287–310.

    Article  PubMed  Google Scholar 

  30. Tangney JP, Baumeister RF, Boone AL. High Self-Control Predicts Good Adjustment, Less Pathology, Better Grades, and Interpersonal Success. J Pers. 2004;72(2):271–324.

    Article  PubMed  Google Scholar 

  31. De Ridder D, Adriaanse M, Fujita K. The Routledge International Handbook of Self-Control in Health and Well-Being. 1st ed Routledge. 2017;30:405–17.

    Google Scholar 

  32. Gray-Burrows K, Taylor N, Connor D, Sutherland E, Stoet G, Conner M. A systematic review and meta-analysis of the executive function-health behaviour relationship. Health Psychol Behav Med. 2019;7(1):253–68.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Gomez-Martinez C, Babio N, Julvez J, Nishi SK, Fernandez-Aranda F, Angel Martinez-Gonzalez M, et al. Impulsivity is longitudinally associated with healthy and unhealthy dietary patterns in individuals with overweight or obesity and metabolic syndrome within the framework of the PREDIMED-Plus trial. Int J Behav Nutr Phys Act. 2022;19(1):1–101.

    Google Scholar 

  34. Salmon SJ, Fennis BM, de Ridder DTD, Adriaanse MA, de Vet E. Health on Impulse: When Low Self-Control Promotes Healthy Food Choices. Health Psychol. 2014;33(2):103–9.

    Article  PubMed  Google Scholar 

  35. Giese H, König LM, Tăut D, Ollila H, Băban A, Absetz P, et al. Exploring the association between television advertising of healthy and unhealthy foods, self-control, and food intake in three European Countries. Appl Psychol Health Well Being. 2015;7(1):41–62.

    Article  PubMed  Google Scholar 

  36. Sproesser G, Strohbach S, Schupp H, Renner B. Candy or apple? How self-control resources and motives impact dietary healthiness in women. Appetite. 2011;56(3):784–7.

    Article  PubMed  Google Scholar 

  37. Hall PA, Marteau TM. Executive function in the context of chronic disease prevention: Theory, research and practice. Preventive medicine. 2014;68:44–50.

    Article  PubMed  Google Scholar 

  38. Reimann Z, Miller JR, Dahle KM, Hooper AP, Young AM, Goates MC, et al. Executive functions and health behaviors associated with the leading causes of death in the United States: A systematic review. J Health Psychol. 2020;25(2):186–96.

    Article  PubMed  Google Scholar 

  39. De Ridder D, Gillebaart M. Lessons learned from trait self-control in well-being: making the case for routines and initiation as important components of trait self-control. Health Psychol Rev. 2017;11(1):89–99.

    Article  PubMed  Google Scholar 

  40. Metcalfe J, Mischel W. A Hot/Cool-System Analysis of Delay of Gratification. Psychol Rev. 1999;106(1):3–19.

    Article  CAS  PubMed  Google Scholar 

  41. Willems YE, Boesen N, Li J, Finkenauer C, Bartels M. The heritability of self-control. meta-analysis. 2019;100:324.

    CAS  Google Scholar 

  42. Tiemeijer WL. Self-Control. Cambridge: Cambridge University Press; 2022.

    Book  Google Scholar 

  43. Dean EB, Schilbach F, Schofield H. Poverty and Cognitive Function. In: Barrett B, Carter MR, Chavas J-P, editors. The Economics of Poverty Traps. Chicago: University of Chicago Press; 2018. p. 57–118.

  44. Byrd-Bredbenner C, Eck K. Relationships among Executive Function, Cognitive Load, and Weight-related Behaviors in University Students. Am J Hlth Behav. 2020;44(5):691–703.

    Article  Google Scholar 

  45. Hofmann W, Van Dillen L. Desire: The New Hot Spot in Self-Control Research Current directions in psychological science. J Am Psychol Soc. 2012;21(5):317–22.

    Google Scholar 

  46. Kotabe HP, Hofmann W. On Integrating the Components of Self-Control. Perspect Psychol Sci. 2015;10(5):618–38.

    Article  PubMed  Google Scholar 

  47. Dohle S, Hofmann W. Toward a mechanistic understanding of the impact of food insecurity on obesity. Behav Brain Sci. 2017;40:e116.

    Article  PubMed  Google Scholar 

  48. Claassen MA, Papies EK, Hardman CA, Robinson E. Socioeconomic differences in the susceptibility to overeat from excessive portions of unhealthy food. Obes Facts. 2019;12:30.

    Google Scholar 

  49. Larsen MH. Nutritional advice from George Orwell Exploring the social mechanisms behind the overconsumption of unhealthy foods by people with low socio-economic status. Appetite. 2015;91:150–6.

    Article  PubMed  Google Scholar 

  50. van der Velde LA, van Dijk WW, Numans ME, Kiefte-de Jong JC. Extending the Theory of Planned Behavior for Explaining Dietary Quality: The Role of Financial Scarcity and Food Insecurity Status. J Nut Educ Behav. 2022;54(7):636–46.

    Article  Google Scholar 

  51. Mackenbach JD, Beenackers M, Noordzij M, Oude Groeniger J, Lakerveld J, Lenthe F. The Moderating Role of Self-Control and Financial Strain in the Relation between Exposure to the Food Environment and Obesity: The GLOBE Study. Int J Environ Res Public Health. 2019;16(4):674.

    Article  PubMed  PubMed Central  Google Scholar 

  52. Caballero A, Fernández I, Aguilar P, Muñoz D, Carrera P. Does poverty promote a different and harmful way of thinking? The links between economic scarcity, concrete construal level and risk behaviors. Curr Psychol. 2021;1:8402–13.

  53. Sheehy-Skeffington J. Inequality from the Bottom Up: Toward a “Psychological Shift” Model of Decision-Making Under Socioeconomic Threat. The Social Psychology of Inequality Cham: Springer International Publishing; 2019. p. 213–31.

    Google Scholar 

  54. Sommet N, Spini D. Financial scarcity undermines health across the globe and the life course. Social science & medicine (1982) 2022 Jan;292:114607.

  55. Kraft P, Kraft B. Explaining socioeconomic disparities in health behaviours: A review of biopsychological pathways involving stress and inflammation. Neurosci Biobehav Rev. 2021;127:689–708.

    Article  PubMed  Google Scholar 

  56. Fan L, Wang Y. Healthy eating behaviors and self-control in scarcity: The protective effects of self-compassion. Appetite. 2022;169:105860.

    Article  PubMed  Google Scholar 

  57. Huijsmans I, Ma I, Micheli L, Civai C, Stallen M, Sanfey AG. A scarcity mindset alters neural processing underlying consumer decision making. Proc Nat Acad Sci PNAS. 2019;116(24):11699–704.

    Article  ADS  CAS  PubMed  Google Scholar 

  58. Diamond A. Executive functions. Annu Rev Psychol. 2013;64(1):135–68.

    Article  PubMed  Google Scholar 

  59. Boksem MAS, Meijman TF, Lorist MM. Effects of mental fatigue on attention: An ERP study. Brain Res Cogn Brain Res. 2005;25(1):107–16.

    Article  PubMed  Google Scholar 

  60. Lichand G, Mani A. Cognitive Droughts. Zurich: University of Zurich, department of economics; 2020. Working paper 341.

  61. Tomm B, Zhao J. Scarcity biases attention to motivationally relevant distractors. J Vision (Charlottesville, Va). 2018;18(10):482.

    Article  Google Scholar 

  62. Shah AK, Mullainathan S, Shafir E. Some Consequences of Having Too Little. Sci Am Assoc Adv Sci. 2012;338(6107):682–5.

    CAS  Google Scholar 

  63. Gennetian LA, Shafir E. The persistence of poverty in the context of financial instability: A behavioral perspective. J Policy Anal Management. 2015;34(4):904–36.

    Article  Google Scholar 

  64. Shah AK, Shafir E, Mullainathan S. Scarcity frames value. Psychol Sci. 2015;26(4):402–12.

    Article  PubMed  Google Scholar 

  65. Mani A, Mullainathan S, Shafir E, Zhao J. Poverty impedes cognitive function. Sci. 2013;341(6149):976–80.

    Article  ADS  CAS  Google Scholar 

  66. Hamilton RW, Mittal C, Shah A, Thompson DV, Griskevicius V. How Financial Constraints Influence Consumer Behavior: An Integrative Framework. J Consum Psychol. 2019;29(2):285–305.

    Article  Google Scholar 

  67. de Bruijn E, Antonides G. Poverty and economic decision making : a review of scarcity theory. Theory Decis. 2021;92(1):5–37.

    Article  MathSciNet  Google Scholar 

  68. Bartos V, Bauer M, Chytilová J, Levely I. Effects of Poverty on Impatience: Preferences or Inattention? Prague: CERGE-EI SSRN Electronic Journal; 2018. Working Paper Series 623.

  69. Maranges HM, Schmeichel BJ, Baumeister RF. Comparing cognitive load and self-regulatory depletion: Effects on emotions and cognitions. Learn Instr. 2017;51:74–84.

    Article  Google Scholar 

  70. Van Dillen LF, Papies EK, Hofmann W. Turning a blind eye to temptation: How cognitive load can facilitate self-regulation. J Pers Soc Psychol. 2013;104(3):427–43.

    Article  PubMed  Google Scholar 

  71. Mann T, Ward A. Attention, Self-Control, and Health Behaviors. Curr Dir Psychol Sci. 2007;16(5):280–3.

    Article  Google Scholar 

  72. Westling E, Mann T, Ward A. Self-Control of Smoking: When Does Narrowed Attention Help? J Appl Social Pyschol. 2006;36(9):2115–33.

    Article  Google Scholar 

  73. Mani A, Mullainathan S, Shafir E, Zhao J. Scarcity and Cognitive Function around Payday: A Conceptual and Empirical Analysis. J Assoc Consumer Res. 2020;5(4):365–76.

    Article  Google Scholar 

  74. Schilbach F, Schofield H, Mullainathan S. The Psychological Lives of the Poor. Am Econ Rev. 2016;106(5):435–40.

    Article  PubMed  Google Scholar 

  75. Shah AK, Zhao J, Mullainathan S, Shafir E. Money in the Mental Lives of the Poor. Soc Cogn. 2018;36(1):4–19.

    Article  Google Scholar 

  76. Ong Q, Theseira W, Ng IYH. Reducing debt improves psychological functioning and changes decision-making in the poor. Proc Natl Acad Sci PNAS. 2019;116(15):7244–9.

    Article  ADS  CAS  PubMed  Google Scholar 

  77. Banerjee A, Mullainathan S. The Shape of Temptation: Implications for the Economic Lives of the Poor. NBER Working Paper Series 2010 May 1,:15973.

  78. Brandon M. Tomm. Jiaying Zhao. Psychological Responses to Scarcity.: Oxford University Press; 2021.

    Google Scholar 

  79. Becker GS, Mulligan CB. The Endogenous Determination of Time Preference. Quart J Eco. 1997;112(3):729–58.

    Article  Google Scholar 

  80. Haushofer J, Fehr E. Negative income shocks increase discount rates. 2019 [cited 2024 Feb 27]. Available from: https://haushofer.ne.su.se/publications/Haushofer_Fehr_IncomeShocks_2019.pdf.

  81. Adamkovič M, Martončik M. A Review of Consequences of Poverty on Economic Decision-Making: A Hypothesized Model of a Cognitive Mechanism. Front Psychol. 2017;8:1784.

    Article  PubMed  PubMed Central  Google Scholar 

  82. Carvalho L. Poverty and Time Preference. Santa Monica: RAND SSRN Electronic Journal; 2010. Working Paper Series WR-759.

  83. Lawrance EC. Poverty and the Rate of Time Preference: Evidence from Panel Data. J Pol Econ. 1991;99(1):54–77.

    Article  Google Scholar 

  84. Hilbert LP, Noordewier MK, van Dijk WW. Financial scarcity increases discounting of gains and losses: Experimental evidence from a household task. J Econ Psychol. 2022;92:102546.

    Article  Google Scholar 

  85. Bickel WK, Wilson AG, Chen C, Koffarnus MN, Franck CT. Stuck in Time: Negative Income Shock Constricts the Temporal Window of Valuation Spanning the Future and the Past. PLoS ONE. 2016;11(9):e0163051.

    Article  PubMed  PubMed Central  Google Scholar 

  86. Kidd C, Palmeri H, Aslin RN. Rational snacking: Young children’s decision-making on the marshmallow task is moderated by beliefs about environmental reliability. Cognition. 2013;126(1):109–14.

    Article  PubMed  Google Scholar 

  87. Frankenhuis WE, Panchanathan K, Nettle D. Cognition in harsh and unpredictable environments. Curr Opin Psychol. 2016;7:76–80.

    Article  Google Scholar 

  88. Mischel W. The marshmallow test: understanding self-control and how to master it. London: Transworld Publishers Ltd; 2014.

  89. Jachimowicz JM, Frey EL, Matz SC, Jeronimus BF, Galinsky AD. The sharp spikes of poverty: financial scarcity is related to higher levels of distress intensity in daily life. Soc Psychol Personal Sci. 2022;13(8):1187–98.

  90. Liang J, Matheson BE, Kaye WH, Boutelle KN. Neurocognitive correlates of obesity and obesity-related behaviors in children and adolescents. Int J Obes. 2014;38(4):494–506.

    Article  CAS  Google Scholar 

  91. Kemps E, Tiggemann M, Grigg M. Food Cravings Consume Limited Cognitive Resources. J Exp Psychol Appl. 2008;14(3):247–54.

    Article  PubMed  Google Scholar 

  92. Molden DC, Hall A, Hui CM, Scholer AA. Understanding How Identity and Value Motivate Self-Regulation Is Necessary but not Sufficient: A Motivated Effort-Allocation Perspective. Psychol Inquir. 2017;28(2–3):113–21.

    Article  Google Scholar 

  93. Baumeister RF, Heatherton TF. Self-Regulation Failure: An Overview. Psychological inquiry. 1996;7(1):1–15.

    Article  Google Scholar 

  94. Shiv B, Fedorikhin A. Heart and Mind in Conflict: the Interplay of Affect and Cognition in Consumer Decision Making. J Consum Res. 1999;26(3):278–92.

    Article  Google Scholar 

  95. Zimmerman FJ, Shimoga SV. The effects of food advertising and cognitive load on food choices. BMC public health. 2014;14(1):342.

    Article  PubMed  PubMed Central  Google Scholar 

  96. Lattimore P, Maxwell L. Cognitive load, stress, and disinhibited eating. Eat Behav. 2004;5(4):315–24.

    Article  PubMed  Google Scholar 

  97. Boon B, Stroebe W, Schut H, Ijntema R. Ironic processes in the eating behaviour of restrained eaters. Br J Health Psychol. 2002;7(1):1–10.

    Article  PubMed  Google Scholar 

  98. Byrd-Bredbenner C, Quick V, Koenings M, Martin-Biggers J, Kattelmann KK. Relationships of cognitive load on eating and weight-related behaviors of young adults. Eat Behav. 2016;21:89–94.

    Article  PubMed  Google Scholar 

  99. Deck C, Jahedi S. The effect of cognitive load on economic decision making: A survey and new experiments. Eur Econ Rev. 2015;78:97–119.

    Article  Google Scholar 

  100. Boon B, Stroebe W, Schut H, Jansen A. Does Cognitive Distraction Lead to Overeating in Restrained Eaters? Behav Cogn Psychother. 1997;25(4):319–27.

    Article  Google Scholar 

  101. Shiv B, Fedorikhin A. Spontaneous versus Controlled Influences of Stimulus-Based Affect on Choice Behavior. Organ Behav Human Decis Proc. 2002;87(2):342–70.

    Article  Google Scholar 

  102. Nordgren LF, Chou EY. A Devil On Each Shoulder. Soc Psychol Person Sci. 2013;4(2):233–7.

    Article  Google Scholar 

  103. Volz S, Ward A, Mann T. Eating up cognitive resources: Does attentional consumption lead to food consumption? Appetite. 2021;162:105165.

    Article  PubMed  PubMed Central  Google Scholar 

  104. Ward A, Mann T. Don’t Mind If I Do. J Person Soc Psycho. 2000;78(4):753–63.

    Article  CAS  Google Scholar 

  105. Story GW, Vlaev I, Seymour B, Darzi A, Dolan RJ. Does temporal discounting explain unhealthy behavior? A systematic review and reinforcement learning perspective. Front Behav Neurosci. 2014;8:76.

    Article  PubMed  PubMed Central  Google Scholar 

  106. Garza KB, Datubo-Brown C, Gaillard P, Jeminiwa R. Delay discounting and its association with food purchasing considerations and food availability in the home in south-east Alabama, USA. Public Health Nutr. 2019;22(2):287–94.

    Article  PubMed  Google Scholar 

  107. Appelhans, Tangney, French, Crane, Wang. Delay Discounting and Household Food Purchasing Decisions The SHoPPER Study. Health psychology 2019 38(4):334–342.

  108. DeHart WB, Snider SE, Pope DA, Bickel WK. A reinforcer pathology model of health behaviors in individuals with obesity. Health Psychol. 2020;39(11):966–74.

    Article  PubMed  PubMed Central  Google Scholar 

  109. Shuval K, Stoklosa M, Pachucki M, Yaroch AL, Drope J, Harding M. Economic Preferences and Fast Food Consumption in US adults: Insights from Behavioral Economics. Prevent Med. 2016;93:204–10.

    Article  Google Scholar 

  110. Kang M, Ikeda S. Time discounting, present biases, and health-related behaviors: Evidence from Japan. Econ Hum Biol. 2016;21:122–36.

    Article  PubMed  Google Scholar 

  111. van Beek J, Handgraaf MJJ, Antonides G. Time orientation and construal level : Effects on eating and exercising behaviour and preferences. Int J Consum Stud. 2017;41(1):54–60.

    Article  Google Scholar 

  112. Urminsky O, Zauberman G. The health consequences of intertemporal preferences. In: de Ridder D, Adriaanse M, Fujita K, editors. The Routledge International Handbook of Self-Control in Health and Well-Being. 1st ed. Routledge; 2018. p. 88–99.

  113. Tricco AC, Lillie E, Zarin W, O’Brien KK, Colquhoun H, Levac D, et al. PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation. Annals Int Med. 2018;169(7):467–73.

    Article  Google Scholar 

  114. van der Veer A, Madern T, van Lenthe FJ. Financial Scarcity and Self-Control Related Dietary Behavior (Academic Search Complete). searchRxiv 2023 Sep 8. Financial Scarcity and Self-Control Related Dietary Behavior (Academic Search Complete). CABI International: searchRxiv. [Cited 2023 Sep 9]. Available from: www.cabidigitallibrary.org.

  115. van der Veer A, Madern T, van Lenthe FJ. Financial Scarcity and Self-Control Related Dietary Behavior (PsycINFO). searchRxiv 2023 Sep 8. Financial Scarcity and Self-Control Related Dietary Behavior (PsycINFO). CABI International: searchRxiv. [Cited 2023 Sep 9]. Available from: www.cabidigitallibrary.org.

  116. van der Veer A, Madern T, van Lenthe FJ. Financial Scarcity and Self-Control Related Dietary Behavior (PubMed). searchRxiv 2023 Sep 8. Financial Scarcity and Self-Control Related Dietary Behavior. CABI International: searchRxiv. [Cited 2023 Sep 9]. Available from: www.cabidigitallibrary.org.

  117. van der Veer A, Madern T, van Lenthe FJ. Financial Scarcity and Self-Control Related Dietary Behavior (CINAHL). searchRxiv 2023 Sep 8. Financial Scarcity and Self-Control Related Dietary Behavior (CINAHL). CABI International: searchRxiv. [Cited 2023 Sep 9]. Available from: www.cabidigitallibrary.org.

  118. van der Veer A, Madern T, van Lenthe FJ. Financial Scarcity and Self-Control Related Dietary Behavior (Embase). searchRxiv 2023 Sep 8. Financial Scarcity and Self-Control Related Dietary Behavior (Embase). CABI International: searchRxiv. [Cited 2023 Sep 9]. Available from: www.cabidigitallibrary.org.

  119. Annemarieke, van der Veer Tamara, Madern Frank, van Lenthe. Financial Scarcity and Self-Control Related Dietary Behavior (Web of Science). CABI International: searchRxiv. 2023 [Cited 2023 Sep 9]. Available from: www.cabidigitallibrary.org.

  120. asreview/asreview: Release v0.7.1. 2020 [Cited 2024 Feb 27]. Available from: https://asreview.nl/.

  121. van de Schoot R, de Bruin J, Schram R, Zahedi P, de Boer J, Weijdema F, et al. An open source machine learning framework for efficient and transparent systematic reviews. Nat Machine Intel. 2021;3(2):125–33.

    Article  Google Scholar 

  122. Zhang W, Huang S, Lam L, Evans R, Zhu C. Cyberbullying definitions and measurements in children and adolescents: Summarizing 20 years of global efforts. Front Public Health. 2022;10:1000504.

    Article  PubMed  PubMed Central  Google Scholar 

  123. Miranda L, Paul R, Pütz B, Koutsouleris N, Müller-Myhsok B. Systematic Review of Functional MRI Applications for Psychiatric Disease Subtyping. Front Psychiatry. 2021;12:665536.

    Article  PubMed  PubMed Central  Google Scholar 

  124. Pijls BG. Machine Learning assisted systematic reviewing in orthopaedics. J Orthop. 2024;48:103–6.

    Article  PubMed  Google Scholar 

  125. Oude Wolcherink MJ, Pouwels XGLV, van Dijk SHB, Doggen CJM, Koffijberg H. Can artificial intelligence separate the wheat from the chaff in systematic reviews of health economic articles? Expert Rev Pharmacoecon Outcomes Res. 2023;23(9):1–1056.

    Article  Google Scholar 

  126. Boetje J, van de Schoot R. The SAFE Procedure: A Practical Stopping Heuristic for Active Learning-Based Screening in Systematic Reviews and Meta-Analyses. 2023. PREPRINT (Version 1). [Cited 2023 Sep 9]. Available from: https://www.researchsquare.com/article/rs-2856011/v1.

  127. Folta SC, Anyanwu O, Pustz J, Oslund J, Penkert LP, Wilson N. Food Choice With Economic Scarcity and Time Abundance: A Qualitative Study. Health Educ Behav. 2022;49(1):150–8.

    Article  PubMed  Google Scholar 

  128. Dominguez-Viera ME, van den Berg M, Handgraaf M, Donovan J. Influence of poverty concerns on demand for healthier processed foods: A field experiment in Mexico City. Econ Hum Biol. 2022;29(49): 101215.

    Google Scholar 

  129. Briers BME, Laporte S. A Wallet Full of Calories: The Effect of Financial Dissatisfaction on the Desire for Food Energy. J Market Res. 2013;50(6):767–81.

    Article  Google Scholar 

  130. Poulter H, Eberhardt J, Moore H, Windgassen S. Bottom of the Pile: Health Behaviors within the Context of In-work Poverty in North East England. Journal of poverty 2022 Jan 24,ahead-of-print(ahead-of-print):1–20.

  131. Pechey R, Marteau TM. Availability of healthier vs less healthy food and food choice an online experiment. BMC Public Health. 2018;18(1):1296.

    Article  PubMed  PubMed Central  Google Scholar 

  132. Mellis AM, Athamneh LN, Stein JS, Sze YY, Epstein LH, Bickel WK. Less is more: Negative income shock increases immediate preference in cross commodity discounting and food demand. Appetite. 2018;129:155–61.

    Article  PubMed  PubMed Central  Google Scholar 

  133. Laran J, Salerno A. Life-History Strategy, Food Choice, and Caloric Consumption. Psychol Sci. 2013;24(2):167–73.

    Article  PubMed  Google Scholar 

  134. Kaplan SA, Madden VP, Mijanovich T, Purcaro E. The Perception of Stress and its Impact on Health in Poor Communities. J Community Health. 2013;38(1):142–9.

    Article  PubMed  Google Scholar 

  135. Dumas A, Robitaille J, Jette SL. Lifestyle as a choice of necessity: Young women, health and obesity. Soc Theory Health. 2014;12(2):138–58.

    Article  Google Scholar 

  136. Sze YY, Stein JS, Bickel WK, Paluch RA, Epstein LH. Bleak Present, Bright Future: Online Episodic Future Thinking, Scarcity, Delay Discounting, and Food Demand. Clin Psychol Sci. 2017;5(4):683–97.

    Article  PubMed  PubMed Central  Google Scholar 

  137. Stein JS, Craft WH, Paluch RA, Gatchalian KM, Greenawald MH, Quattrin T, et al. Bleak present, bright future II Combined effects of episodic future thinking and scarcity on delay discounting in adults at risk for type 2 diabetes. J Behav Med. 2020;44(2):222–30.

    Article  PubMed  PubMed Central  Google Scholar 

  138. Shuval K, Stoklosa M, Pachucki MC, Yaroch AL, Drope J, Harding M. Economic preferences and fast food consumption in US adults: Insights from behavioral economics. Prev Med. 2016;93:204–10.

    Article  PubMed  Google Scholar 

  139. Shah AK. Social Class and Scarcity. The Cambridge Handbook of Consumer Psychology: Cambridge University Press; 2015. p. 673–92.

    Google Scholar 

  140. Ruggeri K, Vdovic M, Abdul-Salaam N, Achterberg J, Amatya K, Andersen TL, et al. The globalizability of temporal discounting. Nat Hum Behav. 2022;6(10):1386–97.

    Article  PubMed  PubMed Central  Google Scholar 

  141. Thaler RH, Shefrin HM. An Economic Theory of Self-Control. J Pol Econ. 1981;89(2):392–406.

    Article  Google Scholar 

  142. van der Heijden A, te Molder H, Jager G, Mulder BC. Healthy eating beliefs and the meaning of food in populations with a low socioeconomic position: A scoping review. Appetite. 2021;161:105135.

    Article  PubMed  Google Scholar 

  143. Gillebaart M, de Ridder DTD. Effortless Self-Control: A Novel Perspective on Response Conflict Strategies in Trait Self-Control. Soc Pers Psychol Compass. 2015;9(2):88–99.

    Article  Google Scholar 

  144. Mann T, de Ridder D, Fujita K. Self-Regulation of health behavior. Health Psychol. 2013;32(5):487–98.

    Article  PubMed  Google Scholar 

  145. Griskevicius V, Tybur JM, Delton AW, Robertson TE. The influence of mortality and socioeconomic status on risk and delayed rewards: A life history theory approach. J Pers Soc Psychol. 2011;100(6):1015–26.

    Article  PubMed  PubMed Central  Google Scholar 

  146. Griskevicius V, Ackerman JM, Cantú SM, Delton AW, Robertson TE, Simpson JA, et al. When the Economy Falters, Do People Spend or Save? Responses to Resource Scarcity Depend on Childhood Environments. Psychol Sci. 2013;24(2):197–205.

    Article  PubMed  Google Scholar 

  147. Pepper GV, Nettle D. Socioeconomic Disparities in Health Behaviour: An Evolutionary Perspective. In: Gibson M, Lawson D, editors. Applied Evolutionary Anthropology. Advances in the Evolutionary Analysis of Human Behaviour, vol 1. New York: Springer; 2014. p. 225–243.

  148. Fennis BM, Gineikiene J, Barauskaite D, van Koningsbruggen GM. Nudging health: Scarcity cues boost healthy consumption among fast rather than slow strategists (and abundance cues do the opposite). Food Qual Prefer. 2020;85:103967.

    Article  Google Scholar 

  149. Crandall AK, Epstein LH, Fillo J, Carfley K, Fumerelle E, Temple JL. The Effect of Financial Scarcity on Reinforcer Pathology: A Dyadic Developmental Examination. Children. 2022;09(9):1338.

    Article  Google Scholar 

  150. Crandall AK, Temple JL. Experimental scarcity increases the relative reinforcing value of food in food insecure adults. Appetite. 2018;128:106–15.

    Article  PubMed  Google Scholar 

  151. Deshpande HU, Mellis AM, Lisinski JM, Stein JS, Koffarnus MN, Paluch R, et al. Reinforcer pathology: Common neural substrates for delay discounting and snack purchasing in prediabetics. Brain Cogn. 2019;132:80–8.

    Article  PubMed  PubMed Central  Google Scholar 

  152. Frankenhuis WE, Nettle D. The strengths of people in poverty. Curr Dir Psychol Sci. 2020;29(1):16–21.

    Article  Google Scholar 

  153. Epel ES, Bandura A, Zimbardo PG. Escaping homelessness: the influences of self-efficacy and time perspective on coping with homelessness1. J Appl Soc Psychol. 1999;29(3):575–96.

    Article  Google Scholar 

  154. Cheon BK, Hong Y. Mere experience of low subjective socioeconomic status stimulates appetite and food intake. Proc Natl Acad Sci PNAS. 2017;114(1):72–7.

    Article  ADS  CAS  PubMed  Google Scholar 

  155. Bartos V, Bauer M, Chytilová J, Levely I. Psychological Effects of Poverty on Time Preferences. Econ J. 2021;131(638):2357–82.

  156. Liu L, Feng T, Suo T, Lee K, Li H. Adapting to the Destitute Situations: Poverty Cues Lead to Short-Term Choice. PLoS ONE. 2012;7(4):e33950.

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  157. Crockett RA, Weinman J, Hankins M, Marteau T. Time orientation and health-related behaviour: measurement in general population samples. Psychol Health. 2009;24(3):333–50.

    Article  PubMed  PubMed Central  Google Scholar 

  158. Duckworth AL, Kern ML. A meta-analysis of the convergent validity of self-control measures. J Res Pers. 2011;45(3):259–68.

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

We want to thank Tale Evenhuis for his help with building the literature search strings and executing the searches in the electronic databases.

Funding

This study was funded with an internal University of Applied Sciences Utrecht-subsidy for PhD-research. The funding body had no role in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript.

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AvdV developed the theoretical framework, performed the literature search and systematic review, analyzed, and synthesized the literature, and wrote the manuscript. FvL and TM made contributions to the theoretical framework, gave input on eligibility criteria and data-synthesis and by revising the manuscript. All authors read and approved the final manuscript.

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Correspondence to Annemarieke van der Veer.

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van der Veer, A., Madern, T. & van Lenthe, F.J. Tunneling, cognitive load and time orientation and their relations with dietary behavior of people experiencing financial scarcity – an AI-assisted scoping review elaborating on scarcity theory. Int J Behav Nutr Phys Act 21, 26 (2024). https://doi.org/10.1186/s12966-024-01576-9

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