Sleeping Less Increases the Risk of Obesity and Negatively Influences the Diet-Behavior Relationship Within Nutritional Psychology

Adolescents often work strategically around their school schedules to allocate their time across studying, extracurriculars, and social activities to achieve a sense of freedom in an otherwise rigid structure. However, a compromise almost always has to be made in order to create more time, and regrettably, sleep is usually the one that becomes deprioritized (Owens et al., 2014). 

 

A compromise is almost always made in order to create more time, and regrettably, sleep is usually the thing that becomes deprioritized. 

 

This form of “bedtime procrastination” not only impacts the circadian rhythm that regulates the 24-hour sleep-wake cycle, but also the vital processes dependent on our body’s internal clock such as feeding behaviors. For example, lack of sleep has been associated with a higher risk of developing obesity due to dysregulated meal times, decreased self-inhibition, increased caloric intake, poorer nutritive quality of food consumed, increased sedentary time, and lowered metabolic expenditure (Duraccio et al., 2019; Krietsch et al., 2019). 

 

“Bedtime procrastination” impacts the circadian rhythm that regulates the 24-hour sleep-wake cycle and the vital processes such as feeding behaviors.

 

Although studies have underscored the detrimental effects insufficient sleep has on the physical and mental health of adolescents, few have investigated the direct relationship between sleep and diet during adolescence. 

To address this knowledge gap, Duraccio et al. (2021) led a crossover study on adolescent participants to understand how changes in sleep duration affected the amount, macronutrient content, and types of food they consumed. A crossover study allows observation of the same subjects across different conditions to evaluate how changes in the experiment’s design alter a specific outcome.

 

Duraccio et al. (2022) led a crossover study on adolescent participants to understand how changes in sleep duration affected the amount, macronutrient content, and types of food they consumed. 

 

In this study, the authors wanted to investigate how different sleep durations influence both diet quality and the timing in which participants ate. To this end, the authors compared conditions of “Short Sleep” and “Healthy Sleep” (five nights for each condition, 6.5 and 9.5 hours of sleep opportunity, respectively) using wrist-worn actigraphy devices and self-reported daily sleep/wake times to track sleep length.

 

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Figure 1. Association Between Sleep and Dietary Intake Behavior  – Sleeping fewer hours per night correlated with increased consumption of carbohydrates and added sugars, and decreased intake of fruits and vegetables in adolescents, leading to an increased risk of developing obesity and related cardiometabolic diseases.

 

The authors report that adolescents have a greater tendency—particularly during the late evening—to consume more carbohydrates, added sugars, foods with a higher glycemic index, servings of sweet drinks, and ate fewer fruits/vegetables when they slept less (Duraccio et al., 2022). Compared to Healthy Sleep, the Short Sleep condition affected diet quality and timing of food consumption across participants. The study’s results are illuminating as they provide tangible evidence underscoring how less sleep correlates with higher risks of obesity and cardiometabolic diseases in adolescents. Moreover, the findings align and support similar work from other groups that advocate for pediatric interventions that promote better sleep to regulate healthy diet-brain signaling (Quist et al., 2016; Miller et al., 2018).

 

When adolescents slept less, they had a greater tendency to consume more carbohydrates, added sugars, servings of sweet drinks, and fewer fruits/vegetables.

 

What could be causing this association remains unclear and, accordingly, further research in this area is required. The current understanding is that this may be the body’s compensatory response to increase the consumption of high-energy foods (often unhealthy) to offset the loss of sleep, although such homeostatic drive inadvertently increases the negative risks of obesity and its comorbidities (Welsh et al., 2011, Duraccio et al., 2022). In other words, the authors discuss the correlation between the lack of sleep with less energy and the body’s natural response to eating more high-energy foods to offset this energy imbalance.

 

The authors discuss the correlation between the lack of sleep with less energy and the body’s natural response to eating more high-energy foods to offset the energy imbalance.

 

While this study’s results are subject to biases and inaccuracies as they rely on participant recall of what they ate, Duraccio et al. (2022) demonstrate how lack of sleep can alter feeding behaviors and lead to dietary changes that ultimately impact adolescent health. Be sure to see the Nutritional Psychology Research Library (NPRL) Diet and Sleep Research Category to learn more about the effect of diet on sleep. 

 

References

Duraccio, K. M., Krietsch, K. N., Chardon, M. L., Van Dyk, T. R., & Beebe, D. W. (2019). Poor sleep and adolescent obesity risk: a narrative review of potential mechanisms. Adolescent health, medicine and therapeutics, 10, 117–130. https://doi.org/10.2147/AHMT.S219594 

Duraccio, K. M., Whitacre, C., Krietsch, K. N., Zhang, N., Summer, S., Price, M., Saelens, B. E., & Beebe, D. W. (2022). Losing sleep by staying up late leads adolescents to consume more carbohydrates and a higher glycemic load. Sleep, 45(3), zsab269. https://doi.org/10.1093/sleep/zsab269 

Krietsch, K. N., Chardon, M. L., Beebe, D. W., & Janicke, D. M. (2019). Sleep and weight-related factors in youth: A systematic review of recent studies. Sleep medicine reviews, 46, 87–96. https://doi.org/10.1016/j.smrv.2019.04.010

Miller, M. A., Kruisbrink, M., Wallace, J., Ji, C., & Cappuccio, F. P. (2018). Sleep duration and incidence of obesity in infants, children, and adolescents: a systematic review and meta-analysis of prospective studies. Sleep, 41(4), 10.1093/sleep/zsy018. https://doi.org/10.1093/sleep/zsy018 

Owens, J., Adolescent Sleep Working Group, & Committee on Adolescence (2014). Insufficient sleep in adolescents and young adults: an update on causes and consequences. Pediatrics, 134(3), e921–e932. https://doi.org/10.1542/peds.2014-1696 

Quist, J. S., Sjödin, A., Chaput, J. P., & Hjorth, M. F. (2016). Sleep and cardiometabolic risk in children and adolescents. Sleep medicine reviews, 29, 76–100. https://doi.org/10.1016/j.smrv.2015.09.001  

Welsh, J. A., Sharma, A., Cunningham, S. A., & Vos, M. B. (2011). Consumption of added sugars and indicators of cardiovascular disease risk among US adolescents. Circulation, 123(3), 249–257. https://doi.org/10.1161/CIRCULATIONAHA.110.972166 

Whole Food Dietary Interventions to Improve Depression Symptoms

Depression is a debilitating mental illness that often manifests with physical symptoms such as fatigue and cognitive impairments. Globally, it is a prevalent disability that can be treated through a combination of evidence-based therapies and medications. While these are viable options for individuals seeking help, their general effectiveness across diverse populations has yet to be established and, importantly, may not be suitable for those whose symptoms make it difficult to pursue treatment consistently. 

In seeking alternatives that are more feasible to implement in addressing chronic depression, numerous epidemiological studies have uncovered an inverse correlation between diet quality and depression (Molendijk et al., 2018; Lassale et al., 2019; Wu et al., 2020). Biological mechanisms—like inflammation, oxidation, and stress—have been proposed as drivers of depression, and diets enriched with polyphenol and omega-3 fatty acids have proved effective in improving depressive symptoms (Jang et al., 2020, Marx et al., 2020). 

 

Numerous epidemiological studies have uncovered an inverse correlation between diet quality and depression.

 

However, the relationship between diet and mental health is difficult to elucidate as research mostly focuses on micronutrients, which humans do not eat in isolation (O’Neill et al., 2022). In an effort to clarify the positive impact of dietary interventions on depression, O’Neill et al. conducted a systematic review of clinical trials emphasizing the effects of whole food diets on depressive symptoms.

Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and Academy of Nutrition and Dietetics Quality Criteria (ANDQCC) Checklists, the authors reviewed results from randomized control trials (RCTs) in which only whole foods/diet dietary interventions were used to address depression (Page et al., 2021). PRISMA was utilized to ensure appropriate studies were included in the literature search and ANDQCC was leveraged to reduce the risk of bias in the selected studies by assessing their validity with a series of quality criteria questions. Moreover, the authors intentionally limited their reviews of RCTs from 2000 to 2021 to produce conclusions that better reflect today’s dietary landscape and the possible benefits of whole foods/diets in treating depression.

From a total of 3,030 studies, seven studies were ultimately included and analyzed in their systematic review, representing adult populations from the USA, the UK, Australia, and Korea. These studies utilized whole food interventions—characterized by the consumption of minimally processed foods—and/or whole diet interventions that carefully regulated dietary intake to evaluate how they improved depressive symptoms according to standardized depression measures (O’Neill et al., 2022). 

Across all studies, these interventions reduced depressive symptoms and, in particular, whole diet interventions involving flavonoids led to the greatest decrease in depression scores. These phytochemicals are abundant in Mediterranean diets and have been demonstrated to alleviate depression through antioxidative and anti-inflammatory processes (Godos et al., 2018; Bayes et al., 2020; Ventriglio et al., 2020). 

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Figure 1. Whole diets rich in flavonoids were associated with lower depressive symptoms, most likely through antioxidative and anti-inflammatory effects, as reported through standardized depression scores. 

Flavonoids are plant compounds that are obtainable through a diet rich in fruits and vegetables. There are six primary types of flavonoids, each with health-promoting anti-inflammatory effects, along with antioxidant properties which protect cells from oxidative damage. Flavonoids have been identified in the literature as natural antidepressants with additional benefits in reducing the risks of heart disease and diabetes (Hritcu et al., 2017; Pannu et al., 2021). Sources of flavonoids include dark leafy greens, vegetables, berries, seeds, nuts, beans, and grains.  

 

Whole diet interventions involving flavonoids led to the greatest decrease in depression scores. 

 

For more information on how plant compounds influence brain function and mental health, visit the Center for Nutritional Psychology (CNP) Nutritional Psychology Research Libraries (NPRLs). 

 

References

Bayes, J., Schloss, J., & Sibbritt, D. (2020). Effects of Polyphenols in a Mediterranean Diet on Symptoms of Depression: A Systematic Literature Review. Advances in nutrition (Bethesda, Md.), 11(3), 602–615. https://doi.org/10.1093/advances/nmz117 

Godos, J., Castellano, S., Ray, S., Grosso, G., & Galvano, F. (2018). Dietary Polyphenol Intake and Depression: Results from the Mediterranean Healthy Eating, Lifestyle and Aging (MEAL) Study. Molecules (Basel, Switzerland), 23(5), 999. https://doi.org/10.3390/molecules23050999 

Gomez-Pinilla, F., Foster, J. A., Cani, P. D., Thuret, S., Staudacher, H. M., … Jacka, F. N. (2021). Diet and depression: exploring the biological mechanisms of action. Molecular psychiatry, 26(1), 134–150. https://doi.org/10.1038/s41380-020-00925-x 

Hritcu, L., Ionita, R., Postu, P. A., Gupta, G. K., Turkez, H., Lima, T. C., Carvalho, C., & de Sousa, D. P. (2017). Antidepressant Flavonoids and Their Relationship with Oxidative Stress. Oxidative medicine and cellular longevity, 2017, 5762172. https://doi.org/10.1155/2017/5762172 

Jang, S. H., Woo, Y. S., Lee, S. Y., & Bahk, W. M. (2020). The Brain-Gut-Microbiome Axis in Psychiatry. International journal of molecular sciences, 21(19), 7122. https://doi.org/10.3390/ijms21197122 

Lassale, C., Batty, G. D., Baghdadli, A., Jacka, F., Sánchez-Villegas, A., Kivimäki, M., & Akbaraly, T. (2019). Healthy dietary indices and risk of depressive outcomes: a systematic review and meta-analysis of observational studies. Molecular psychiatry, 24(7), 965–986. https://doi.org/10.1038/s41380-018-0237-8 

Marx, W., Lane, M., Hockey, M., Aslam, H., Berk, M., Walder, K., Borsini, A., Firth, J., Pariante, C. M., Berding, K., Cryan, J. F., Clarke, G., Craig, J. M., Su, K. P., Mischoulon, D., 

Molendijk, M., Molero, P., Ortuño Sánchez-Pedreño, F., Van der Does, W., & Angel Martínez-González, M. (2018). Diet quality and depression risk: A systematic review and dose-response meta-analysis of prospective studies. Journal of affective disorders, 226, 346–354. https://doi.org/10.1016/j.jad.2017.09.022 

O’Neill, S., Minehan, M., Knight-Agarwal, C. R., & Turner, M. (2022). Depression, Is It Treatable in Adults Utilising Dietary Interventions? A Systematic Review of Randomised Controlled Trials. Nutrients, 14(7), 1398. https://doi.org/10.3390/nu14071398 

Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., McGuinness, L. A., … Moher, D. (2021). The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ (Clinical research ed.), 372, n71. https://doi.org/10.1136/bmj.n71 

Pannu, A., Sharma, P. C., Thakur, V. K., & Goyal, R. K. (2021). Emerging Role of Flavonoids as the Treatment of Depression. Biomolecules, 11(12), 1825. https://doi.org/10.3390/biom11121825 

Ventriglio, A., Sancassiani, F., Contu, M. P., Latorre, M., Di Slavatore, M., Fornaro, M., & Bhugra, D. (2020). Mediterranean Diet and its Benefits on Health and Mental Health: A Literature Review. Clinical practice and epidemiology in mental health : CP & EMH, 16(Suppl-1), 156–164. https://doi.org/10.2174/1745017902016010156 

Wu, P. Y., Lin, M. Y., & Tsai, P. S. (2020). Alternate healthy eating index and risk of depression: A meta-analysis and systemematic review. Nutritional neuroscience, 23(2), 101–109. https://doi.org/10.1080/1028415X.2018.1477424 

 

How did the COVID-19 Pandemic Influence the Diet Mental Health Relationship in 5,000 Households?

The COVID-19 pandemic has been devastating across many aspects of life. From health concerns to financial insecurities, many have endured the challenging circumstances imposed by social distancing and public health measures aimed to contain contagious outbreaks. 

Throughout the pandemic, changes in lifestyle and the loss of community from isolation have resulted in increased reports of mental health issues (Wilder-Smith & Freedman, 2020). The prevalence of anxiety and depression has motivated health professionals to consider new and different strategies to prevent and treat mental illnesses. A healthy diet is often recommended as a viable option to improve mental health. 

 

The prevalence of anxiety and depression has motivated health professionals to consider different strategies to prevent and treat mental illnesses. 

 

Since the pandemic has not only harmed food security but also the ability of individuals to maintain balanced diets, Coletro and colleagues were interested in identifying both how eating behaviors have changed during the pandemic, and whether these changes correlate with the higher incidence of anxiety and depression (Di Renzo et al., 2020; Huizar et al., 2021).

Focusing on the Brazilian urban population and through an epidemiological approach, Coletro et al. (2022) utilized household surveys to assess mental illness symptoms and food consumption during the COVID-19 pandemic. They employed the Generalized Anxiety Disorder 7-item test to evaluate anxiety (Löwe et al., 2008) and the Patient Health Questionnaire for depression (Kroenke et al., 2001). To assess the quality of participants’ diet, a NOVA classification food questionnaire—a system developed by the Food and Agriculture Organization of the United Nations—was incorporated to quantify how frequently participants consumed fresh/minimally processed and ultra-processed foods (Monteiro et al., 2010; Meireles et al., 2021; Wang et al., 2021).  

In this study, fresh and minimally processed foods included beans, nuts, vegetables, red meat, chicken, fish, eggs, and fruits, whereas ultra-processed foods include soft drinks, packaged snacks, instant foods, processed meats like hamburgers, frozen products, bread, and sweets.

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Figure 1. Eating more fresh/minimally processed foods is associated with a lower prevalence of depression and anxiety symptoms, while consumption of ultra-processed foods is associated with higher reports of depression and anxiety.

 

With data collected from over 5,000 households, the authors found that eating fresh/minimally processed foods above the weekly average frequency was associated with a lower prevalence of anxiety and depression symptoms. In contrast, eating ultra-processed foods above the weekly average was associated with a higher prevalence of anxiety and depression (Figure 1). 

Eating fresh/minimally processed foods above the weekly average frequency was associated with a lower prevalence of anxiety and depression symptoms. 

However, as this was a cross-sectional study where data were collected from participant self-responses at a specific time, it does not warrant causality between the consumption of processed foods and mental health symptoms. Nevertheless, the study’s results demonstrate that not only does nutrition relate to mental health but they also shed light on the importance of creating a balanced diet full of fresh and minimally processed foods. Nutrient deficiency increases the risk of inflammatory reactions in the brain and has been associated with the onset of mental illnesses (Grosso et al., 2014). Moreover, ultra-processed foods are poor in necessary micronutrients like vitamins and polyphenols, which are metabolized into essential, anti-inflammatory fatty acids that modulate critical mood neurotransmitters such as serotonin and dopamine. 

 

References

Coletro, H. N., Mendonça, R. D., Meireles, A. L., Machado-Coelho, G., & Menezes, M. C. (2022). Ultra-processed and fresh food consumption and symptoms of anxiety and depression during the COVID – 19 pandemic: COVID Inconfidentes. Clinical nutrition ESPEN, 47, 206–214. https://doi.org/10.1016/j.clnesp.2021.12.013 

Di Renzo, L., Gualtieri, P., Pivari, F., Soldati, L., Attinà, A., Cinelli, G., Leggeri, C., Caparello, G., Barrea, L., Scerbo, F., Esposito, E., & De Lorenzo, A. (2020). Eating habits and lifestyle changes during COVID-19 lockdown: an Italian survey. Journal of translational medicine, 18(1), 229. https://doi.org/10.1186/s12967-020-02399-5 

Grosso, G., Galvano, F., Marventano, S., Malaguarnera, M., Bucolo, C., Drago, F., & Caraci, F. (2014). Omega-3 fatty acids and depression: Scientific evidence and biological mechanisms. Oxidative medicine and cellular longevity, 2014, 313570. https://doi.org/10.1155/2014/313570 

Huizar, M. I., Arena, R., & Laddu, D. R. (2021). The global food syndemic: The impact of food insecurity, Malnutrition and obesity on the healthspan amid the COVID-19 pandemic. Progress in cardiovascular diseases, 64, 105–107. https://doi.org/10.1016/j.pcad.2020.07.002 

Kroenke, K., Spitzer, R. L., & Williams, J. B. (2001). The PHQ-9: validity of a brief depression severity measure. Journal of general internal medicine, 16(9), 606–613. https://doi.org/10.1046/j.1525-1497.2001.016009606.x 

Löwe, B., Decker, O., Müller, S., Brähler, E., Schellberg, D., Herzog, W., & Herzberg, P. Y. (2008). Validation and standardization of the Generalized Anxiety Disorder Screener (GAD-7) in the general population. Medical care, 46(3), 266–274. https://doi.org/10.1097/MLR.0b013e318160d093 

Meireles, A. L., Lourenção, L. G., de Menezes Junior, L. A. A., Coletro, H. N., Justiniano, I. C. S., de Moura, S. S., … & Machado-Coelho, G. L. L. (2021). COVID-Inconfidentes-SARS-CoV-2 seroprevalence in two Brazilian urban areas during the pandemic first wave: study protocol and initial results. 

Monteiro, C. A., Levy, R. B., Claro, R. M., Castro, I. R., & Cannon, G. (2010). A new classification of foods based on the extent and purpose of their processing. Cadernos de saude publica, 26(11), 2039–2049. https://doi.org/10.1590/s0102-311×2010001100005 

Wang, L., Martínez Steele, E., Du, M., Pomeranz, J. L., O’Connor, L. E., Herrick, K. A., Luo, H., Zhang, X., Mozaffarian, D., & Zhang, F. F. (2021). Trends in Consumption of Ultraprocessed Foods Among US Youths Aged 2-19 Years, 1999-2018. JAMA, 326(6), 519–530. https://doi.org/10.1001/jama.2021.10238 

Wilder-Smith, A., & Freedman, D. O. (2020). Isolation, quarantine, social distancing and community containment: pivotal role for old-style public health measures in the novel coronavirus (2019-nCoV) outbreak. Journal of travel medicine, 27(2), taaa020. https://doi.org/10.1093/jtm/taaa020

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