Chronic Insomnia Is Associated With Higher Ultraprocessed Food Consumption

  • A large epidemiological study published in the Journal of the Academy of Nutrition and Dietetics reported an association between the consumption of ultra-processed food and chronic insomnia
  • Overall, 19.4% of individuals had symptoms of chronic insomnia, and ultra-processed foods were 16% of participants’ daily food intake
  • However, increasing ultra-processed food intake by 10% was associated with 9% higher odds of suffering from chronic insomnia among men and 5% higher odds among women

We have all experienced situations when we have trouble getting good sleep. This can happen when we are excited, when something troubles us, when our sleeping arrangements are uncomfortable, and under many other circumstances. However, some people have constant difficulties with getting good sleep. This is called chronic insomnia.

What is chronic insomnia?


Chronic insomnia is a sleep disorder characterized by difficulty falling asleep, staying asleep, or waking up too early, occurring at least three nights per week for three months or more (Insomnia – What Is Insomnia? 2022).  Common causes of chronic insomnia include stress, anxiety, depression, chronic pain, and certain medications or substances.

This condition leads to chronically poor sleep quality and insufficient rest, which can significantly impair daytime functioning, including concentration, mood, and overall productivity (Drake et al., 2003; Roberts et al., 2008). Chronic insomnia is also associated with an increased risk of developing other health problems, such as cardiovascular disease or diabetes (Sofi et al., 2014; Vgontzas et al., 2009).

Insomnia and diet


Diet is an important determinant of health and chronic disease risk. Many studies report links between dietary habits and risks of specific diseases or adverse health outcomes (Camprodon-Boadas et al., 2024; Hedrih, 2024; Huang et al., 2023).

 

Diet is an important determinant of health and chronic disease risk. 

 

Recently, industrially processed foods have started attracting researchers’ interest. This is especially the case with ultra-processed foods. Ultra-processed foods are formulations made mostly or entirely from derived substances and various additives with few intact unprocessed or minimally processed food components (Hedrih, 2023; Monteiro et al., 2019).

These foods typically contain artificial additives, preservatives, and flavor enhancers. Additives include dyes, color stabilizers, non-sugar sweeteners, de-foaming, anti-caking or glazing agents, emulsifiers, or humectants. Examples of ultra-processed foods include instant noodles, artificial sweeteners, artificially sweetened beverages, sugary cereals, microwaveable meals, reconstituted meat products, sweet and savory packaged snacks, pre-prepared frozen dishes, and soft drinks (Hedrih, 2023) (see Figure 1).

 

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Figure 1. Examples of ultra-processed foods

 

Many studies linked the consumption of ultra-processed foods with increased risks of various health conditions, including cardiovascular diseases, type 2 diabetes, depression, anxiety, and general risk of death from different causes (e.g., Lane et al., 2024). Some even propose that ultra-processed foods be classified as addictive substances (Gearhardt et al., 2023; Hedrih, 2023)

The current study


Study author Pauline Duquenne and her colleagues wanted to assess the association between the consumption of ultra-processed food and chronic insomnia. They hypothesized that a greater intake of ultra-processed foods would be associated with increased insomnia symptoms (Duquenne et al., 2024).

These authors analyzed data from NutriNet-Santé, an ongoing online study that started in France in 2009. NutriNet-Santé participants are adults who can comprehend written French. The data used in this analysis came from 38,570 participants. Their average age was 50 years, and 77% were females.

When they are included in the study and at regular intervals thereafter, NutriNet-Santé participants complete a battery of questionnaires about their lifestyle profiles, body measurements, physical activity, and health status.

Participants provided their dietary intake data every six months. On these occasions, the study asks them to complete three 24-hour dietary records over a two-week period. The days when dietary intake was recorded were not on consecutive days (see Figure 2).

 

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Figure 2. Study Procedure (Duquenne et al., 2024)

 

Aside from this, the current analysis utilized assessments of participants’ chronic insomnia symptoms and their sociodemographic data.

Chronic insomnia is associated with anxiety, depression, and female gender


Results showed that 19.4% of participants had symptoms of chronic insomnia. These individuals were also more likely to show symptoms of depression and anxiety. Participants with chronic insomnia were more often females. Females were 84% of the chronic insomnia group and 75% of participants without chronic insomnia.

Because the sample was very large, associations with many other demographic and lifestyle factors were also detected, but these associations tended to be very small.

Individuals suffering from chronic insomnia tended to consume more ultra-processed foods


Ultra-processed foods constituted 16% of participants’ daily food intake. However, participants with chronic insomnia tended to consume more of this type of food. Statistical analysis showed that a 10% increase in daily intake of ultra-processed food corresponded to a 6% higher odds of suffering from chronic insomnia.

 

Participants with chronic insomnia tended to consume more ultra-processed foods.

 

This percentage differed somewhat between the sexes. Among men, a 10% higher daily intake of ultra-processed foods corresponded to a 9% higher odds of suffering from chronic insomnia. The increase in odds was 5% among women (see Figure 3).

 

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Figure 3. Study findings (Duquenne et al., 2024)

 

Conclusion


Using a very large sample from the French-speaking population, this study demonstrates a link between ultraprocessed food consumption and the risk of chronic insomnia. Although the increased risk reported in this study is only slight, this finding adds to the growing body of evidence associating the consumption of ultra-processed foods with adverse health outcomes.

However, it should be noted that the design of this study does not allow any cause-and-effect conclusions to be drawn from the results. While it is possible that increased consumption of ultra-processed food increases the risk of chronic insomnia, it is also possible that chronic insomnia or factors leading to chronic insomnia make a person more likely to consume ultra-processed foods (e.g., because they are readily available or highly palatable). Further studies are needed to clarify the nature of the observed links.

The paper “The association between ultra-processed food consumption and chronic insomnia in the NutriNet-Santé Study” was authored by Pauline Duquenne, Julia Capperella, Léopold K. Fezeu, Bernard Srour, Giada Benasi, Serge Hercberg, Mathilde Touvier, Valentina A. Andreeva, and Marie-Pierre St-Onge.

 

References

Camprodon-Boadas, P., Gil-Dominguez, A., De La Serna, E., Sugranyes, G., Lázaro, I., & Baeza, I. (2024). Mediterranean Diet and Mental Health in Children and Adolescents: A Systematic Review. Nutrition Reviews, nuae053. https://doi.org/10.1093/nutrit/nuae053

Drake, C. L., Roehrs, T., & Roth, T. (2003). Insomnia causes, consequences, and therapeutics: An overview. Depression and Anxiety, 18(4), 163–176. https://doi.org/10.1002/da.10151

Duquenne, P., Capperella, J., Fezeu, L. K., Srour, B., Benasi, G., Hercberg, S., Touvier, M., Andreeva, V. A., & St-Onge, M.-P. (2024). The association between ultra-processed food consumption and chronic insomnia in the NutriNet-Santé Study. Journal of the Academy of Nutrition and Dietetics, S2212267224000947. https://doi.org/10.1016/j.jand.2024.02.015

Gearhardt, A. N., Bueno, N. B., DiFeliceantonio, A. G., Roberto, C. A., Jiménez-Murcia, S., & Fernandez-Aranda, F. (2023). Social, clinical, and policy implications of ultra-processed food addiction. BMJ, e075354. https://doi.org/10.1136/bmj-2023-075354

Hedrih, V. (2023). Scientists Propose that Ultra-Processed Foods be Classified as Addictive Substances. CNP Articles in Nutritional Psychology. https://www.nutritional-psychology.org/scientists-propose-that-ultra-processed-foods-be-classified-as-addictive-substances/

Hedrih, V. (2024, March 4). Researchers Identify Neural Pathways Transmitting Anti-Inflammatory Effects of Hunger. Nutritional Psychology. https://www.nutritional-psychology.org/researchers-identify-neural-pathways-transmitting-anti-inflammatory-effects-of-hunger/

Huang, Y., Chen, Z., Chen, B., Li, J., Yuan, X., Li, J., Wang, W., Dai, T., Chen, H., Wang, Y., Wang, R., Wang, P., Guo, J., Dong, Q., Liu, C., Wei, Q., Cao, D., & Liu, L. (2023). Dietary sugar consumption and health: Umbrella review. BMJ (Clinical Research Ed.), 381, e071609. https://doi.org/10.1136/bmj-2022-071609

Insomnia – What Is Insomnia? | NHLBI, NIH. (2022, March 24). https://www.nhlbi.nih.gov/health/insomnia

Lane, M. M., Gamage, E., Du, S., Ashtree, D. N., McGuinness, A. J., Gauci, S., Baker, P., Lawrence, M., Rebholz, C. M., Srour, B., Touvier, M., Jacka, F. N., O’Neil, A., Segasby, T., & Marx, W. (2024). Ultra-processed food exposure and adverse health outcomes: Umbrella review of epidemiological meta-analyses. BMJ, e077310. https://doi.org/10.1136/bmj-2023-077310

Monteiro, C. A., Cannon, G., Levy, R. B., Moubarac, J. C., Louzada, M. L. C., Rauber, F., Khandpur, N., Cediel, G., Neri, D., Martinez-Steele, E., Baraldi, L. G., & Jaime, P. C. (2019). Ultra-processed foods: What they are and how to identify them. Public Health Nutrition, 22(5), 936–941. https://doi.org/10.1017/S1368980018003762

Roberts, R. E., Roberts, C. R., & Duong, H. T. (2008). Chronic Insomnia and Its Negative Consequences for Health and Functioning of Adolescents: A 12-Month Prospective Study. Journal of Adolescent Health, 42(3), 294–302. https://doi.org/10.1016/j.jadohealth.2007.09.016

Sofi, F., Cesari, F., Casini, A., Macchi, C., Abbate, R., & Gensini, G. (2014). Insomnia and risk of cardiovascular disease: A meta-analysis. European Journal of Preventive Cardiology, 21, 57–64. https://doi.org/10.1177/2047487312460020

Vgontzas, A. N., Liao, D., Pejovic, S., Calhoun, S., Karataraki, M., & Bixler, E. O. (2009). Insomnia With Objective Short Sleep Duration Is Associated With Type 2 Diabetes. Diabetes Care, 32(11), 1980–1985. https://doi.org/10.2337/dc09-0284

When Our Eating Experience Falls Short, Do We Eat More to Compensate?

  • People have expectations about how much they will enjoy their food and other enjoyable activities
  • A new study published in the Journal of Personality and Social Psychology: Attitudes and Social Cognition proposes that when they do not experience the expected joy due to distraction, people will want to eat more to compensate
  • They may snack more or more often in the afternoon to compensate for insufficient enjoyment of lunch

People do many things for joy. We take walks because we enjoy them. We play sports or video games just for the joy of it. We often talk to friends just because we enjoy the exchanges. Eating food is also partly done for enjoyment. When we visit a restaurant or eat a meal, aside from nutrition, we also have an expectation that we will enjoy the experience.

This is called hedonic consumption – consumption of experiences “by an affective and sensory experience of aesthetic or sensual pleasure, fantasy, and fun” (Dhar & Wertenbroch, 2000). Hedonic consumption is a critical aspect of everyday life. It is crucial for our psychological well-being.

 

Hedonic consumption refers to the consumption of experiences “by an affective and sensory experience of aesthetic or sensual pleasure, fantasy, and fun.”

 

Hedonic overconsumption


However, hedonic consumption sometimes becomes too excessive and even problematic.  A person can eat too much of the food he/she likes, leading to health problems. He/She may spend too much time playing games while neglecting other obligations. A person may decide to stay late at night to do so, impairing his/her functioning the following day. If staying late happens often and disrupts sleep patterns, in time, such behavior can dysregulate various systems of the body, leading to different health problems (Brondel et al., 2010; Cappuccio et al., 2008; Hillman & Lack, 2013)

This excessive consumption of goods and services for pleasure and enjoyment rather than necessity is called hedonic overconsumption.

 

The excessive consumption of goods and services for pleasure and enjoyment rather than necessity is called hedonic overconsumption.

 

A theoretical model of hedonic overconsumption


Why do people engage in hedonic overconsumption? Hedonic overconsumption is often ascribed to one’s lack of self-control. This lack of self-control can happen for a variety of reasons. A tempting environment, a strong short-term desire, a lack of motivation and effort investment, a lack of control capacity or situational constraints on action, or ill-chosen strategies are just a few of the reasons mentioned in the literature (Murphy et al., 2024).

However, Stephen L. Murphy and his colleagues propose that hedonic overconsumption is often about regulating the joy level we expect from experiences. They propose that if we experience “hedonic shortfalls,” i.e., if we do not experience the amount of joy we expected to derive from hedonic consumption, we will want to consume more to compensate for this shortfall (Murphy et al., 2024).

 

If we do not experience the amount of joy we expect to derive from hedonic consumption, we will want to consume more to compensate for this shortfall.

 

For example, if something distracts us while watching a movie and our minds wander from the movie, we will not experience the joy we expected. This will make us more likely to re-watch the movie, or at least the part we missed. That way, we will spend more time watching the movie in total.

The current studies


To test their hypotheses, these researchers conducted two studies and a meta-analysis. The meta-analysis focused on published scientific studies that reported associations between being distracted from joyful activities and the amount of joy experienced. It confirmed the study authors’ expectations—when people were distracted from a joyful activity, they tended to report lower levels of enjoyment.

In the first study, researchers asked 122 young people between 18 and 24 years of age to participate in an online survey. The instructions were to start the survey before lunch. At this point, among other things, they reported on how much they expected to enjoy their lunch.

Then, they were randomly allocated into three groups. Researchers told one group to eat lunch without distractions (“No distraction”), the second group to watch an online video while they ate (“Mild distraction”), and the third group to play Tetris during their lunch (“High distraction”).

After lunch, participants reported how much they ate, how much they enjoyed lunch, how much they were distracted, and how much they desired further gratification. Before dinner, on the same day, participants reported how many snacks they consumed since lunch and on how many occasions (see Figure 1).

 

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Figure 1. The first study (Murphy et al., 2024)

 

The second study utilized the experience sampling approach. Over a 7-day period, study authors would send surveys (7 per day) to 220 adult participants on their mobile devices, asking them to report on their hedonic consumption activities since the previous survey. The activities included eating, drinking, smoking, gambling, drug use, gaming, use of media/audio devices for leisure, leisure reading, sport, and exercise. Participants reported various details of such activities, such as how much they expected to enjoy the activity and how much they enjoyed it.

Insufficient enjoyment leads to further consumption


Results of the first study showed that distraction during lunch was not consistently linked with the enjoyment of lunch. Although there was a very weak tendency for those experiencing more distraction to report less enjoyment, it was so weak that authors could not be sure they were not simply looking at random variations in data.

However, participants who enjoyed their lunch less tended to feel a greater need for further gratification. Participants who felt a greater need for further gratification tended to snack more frequently and consume higher amounts of snacks afterward.

 

Participants who enjoyed their lunch less tended to feel a greater need for further gratification. 

 

Distraction during hedonic consumption is associated with less enjoyment


Results of the second study showed that individuals who experienced more distraction during a hedonic activity tended to report less enjoyment in the activity. When participants experienced less joy than they expected from the hedonic consumption they engaged in, they tended to be less satisfied with it. As expected, when they were not satisfied with the hedonic consumption they experienced, participants were more likely to engage in overconsumption, i.e., do more of the hedonic activity in question (see Figure 2).

 

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Figure 2. The second study (Murphy et al., 2024)

 

Conclusion


This set of studies provides initial support for the idea that hedonic overconsumption can result from insufficient joy derived from hedonic activities.

If people derive insufficient enjoyment from their meals, they will be more likely to overeat if it is less than what they expected. This seems to apply to all hedonic consumptions, i.e., to all activities we conduct for pleasure. These findings point to a new aspect that weight loss programs and programs aiming to tackle other forms of excessive overconsumption (e.g., excessive betting, gambling, drinking…) need to be taken into account.

The paper “Underwhelming Pleasures: Toward a Self-Regulatory Account of Hedonic Compensation and Overconsumption” was authored by Stephen L. Murphy, Floor van Meer, Lotte van Dillen, Henk van Steenbergen, and Wilhelm Hofmann.

 

References

Brondel, L., Romer, M. A., Nougues, P. M., Touyarou, P., & Davenne, D. (2010). Acute partial sleep deprivation increases food intake in healthy men. The American Journal of Clinical Nutrition, 91(6), 1550–1559. https://doi.org/10.3945/ajcn.2009.28523

Cappuccio, F. P., Taggart, F. M., Kandala, N.-B., Currie, A., ChB, M., Peile, E., & Miller, M. A. (2008). Meta-Analysis of Short Sleep Duration and Obesity in Children and Adults. 31(5).

Dhar, R., & Wertenbroch, K. (2000). Consumer Choice between Hedonic and Utilitarian Goods. Journal of Marketing Research, 37(1), 60–71. https://doi.org/10.1509/jmkr.37.1.60.18718

Hillman, D. R., & Lack, L. C. (2013). Public health implications of sleep loss: The community burden. Medical Journal of Australia, 199(8), S7–S10. https://doi.org/10.5694/mja13.10620

Murphy, S. L., Van Meer, F., Van Dillen, L., Van Steenbergen, H., & Hofmann, W. (2024). Underwhelming pleasures: Toward a self-regulatory account of hedonic compensation and overconsumption. Journal of Personality and Social Psychology. https://doi.org/10.1037/pspa0000389

Blue Zones and Their Role in the Diet-Mental Health Relationship (DMHR): A Three-Part Series Exploring the Interplay of Diet, Longevity, and Mental Health.

Editor’s Note: We begin our three-part series with an overview of the nine common characteristics that underlie Blue Zones. The second article will dive deeper into how diet and mental health may impact longevity.

In 2016, to explore the secrets to longevity, National Geographic Fellow and American Author Dan Buettner located five geographic locations on Earth yielding higher-than-average populations of people living beyond 100 years old, referred to as “centenarians.” The locations are Ikaria, Greece; Okinawa, Japan; Sardinia, Italy; Loma Linda, California; and Nicoya, Costa Rica (Buettner & Skemp, 2016). Buettner coined the term “Blue Zones,” defining them as communities that produce individuals who are ten times more likely to reach age 100 than the average

US citizen and prompting questions about what contributes to such extraordinarily healthful aging (Buettner & Skemp, 2016).

 

Blue zones are communities that produce individuals who are ten times more likely to reach age 100 than the average US citizen.

 

With the help of demographers, scientists, and anthropologists, Buettner identified nine common lifestyle characteristics among the Blue Zones that impact longevity: the Power 9 (Buettner & Skemp, 2016). These include: move naturally, purpose, downshift, 80% rule, plant slant, wine at 5, right tribe, loved ones first, and belong (Figure 1). His idea is that if genes dictate about 20% of life expectancy and lifestyle governs about 80%, the Power 9 can provide a blueprint for creating healthier populations and a higher human life expectancy worldwide (Herskind et al., 1996).

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Figure 1. Power 9 Blue Zone Characteristics

Power 9 characteristics can be sorted under four umbrella components — move naturally, right outlook, eat wisely, and connect.

Component 1: Move Naturally

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Rather than engaging in the exercise habits commonly seen in Western culture (e.g., high-intensity cardio, weight-lifting, marathon running), Blue Zone residents live in environments that foster daily, mindless movement. For example, Sardinians, often employed as shepherds, walk around five miles a day or more in tending to their animals (Buettner & Skemp, 2016). For others in Blue Zone communities, this routine movement may look like tending to a garden or walking across town for social commitments. 

 

Rather than engaging in the exercise habits commonly seen in Western culture, Blue Zone residents live in environments that foster daily, mindless movement. 

 

This movement leads to positive mental and physical outcomes. For instance, a 2021 study concluded that the more time Sardinians spent gardening, the better physical health they reported (Ruiu et al., 2022). The takeaway? Exceptionally long-living individuals move their bodies daily and in intuitive ways.

Component 2: Right Outlook

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Purpose

While the idea of “finding purpose” may hold varying names — the Okinawans call it “Ikiagi” and the Nicoyans call it “plan de Vida,” for example — the concept serves as a central theme within Blue Zones (Buettner & Skemp, 2016). Both “Ikiaki” and “plan de Vida” translate loosely to “why I wake up in the morning,” implying recognition of a life purpose. Buettner and Skemp (2016) found that having a life purpose may be worth up to seven years of additional life expectancy, which was supported by an association between a stronger purpose in life and decreased mortality found in a later study (Alimujiang et al., 2019). The discovery of such an individualized purpose appears to play a central role in the longevity of Blue Zone residents.

 

 Both “Ikiaki” and “plan de Vida” translate loosely to “why I wake up in the morning,” implying recognition of a life purpose.

 

Downshift

Downshift explores the idea of routines meant to release stress. The experience of stress is inevitable, and Blue Zone residents have created ways — unique to their religious ties and geographic regions — to release stress. For example, Adventists in Loma Linda pray, Okinawans take moments to remember their ancestors, and Ikiarians nap (Buettner & Skemp, 2016). In creating rituals to eliminate distress, bitcoin mixer individuals in Blue Zone regions defend themselves against stress-related illnesses such as coronary heart disease, cancer, and respiratory disorders (Salleh, 2008). By prioritizing outlets of escape from ambient stressors through downshift, Blue Zone residents create a culture supportive of a greater-than-average life expectancy.

 

Downshift explores the idea of routines meant to release stress. 

 

Component 3: Eat Wisely

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80% Rule 

Rather than eating until they feel they can’t take another bite, Blue Zone residents follow an 80-20 rule. This mantra, Hara Hachi Bu, created by Okinawans 2,500 years ago, encourages individuals to stop eating when they are 80% full (Buettner & Skemp, 2016). A consistent practice of this rule leads this population to consume fewer calories and consequently have lower energy intake (Fukkoshi et al., 2015). 

 

The Okinawan mantra Hara Hachi Bu encourages individuals to stop eating when they are 80% full. 

 

This practice begs individuals to practice mindfulness, as recognizing one’s satiety requires an understanding of internal cues. Blue Zone residents are encouraged to chew slowly, take deep breaths, and be present in their bodies to honor their hunger cues and avoid overeating. As stated above, by not overeating, these populations subsequently experience a lower input of calories and collateral energy, which is associated with human longevity (Willcox et al., 2006). 

 

In eating until 80% full, Blue Zone residents are pushed to chew slowly, take deep breaths, and be present in their bodies to honor their hunger cues and avoid overeating. 

 

Wine at 5

All Blue Zone populations, excluding Adventists in Loma Linda, regularly and moderately consume alcohol (Buettner & Skemp, 2016). The frequent alcohol of choice is wine, specifically, Cannonau, a red wine native to Sardinia (Buettner & Skemp, 2016). Red wine contains large amounts of antioxidants — polyphenols — which stabilize free radicals and counteract oxidative stress. The latter is a known contributor to detrimental neurological conditions such as Parkinson’s disease, Alzheimer’s disease, and depression, all of which contribute to increased mortality (Pizzino et al., 2017). Consuming quality red wine regularly and socially provides an influx of antioxidants to help defend against such diseases, likely positively contributing to longer-than-average life spans among Blue Zone residents.

 

Red wine contains large amounts of antioxidants — polyphenols — which stabilize free radicals and counteract oxidative stress. 

 

Plant Slant

Most centenarian diets are plant-based, with a significant intake of vegetables, beans, and whole grains. Ikarians, largely due to their proximity to the Mediterranean, eat a Mediterranean diet filled with lots of fruit, olive oil, vegetables, and plant-based proteins such as nuts, beans, and seeds. Adventists take their dietary habits from the Bible and consume a vegan diet full of legumes, leafy vegetables, and nuts. Nicoyans consume little to no processed foods and emphasize antioxidant-rich fruits in their diet (Buettner & Skemp, 2016). Though their diets vary slightly based upon location and community values, all Blue Zone diets have a plant-based theme associated with longevity (Norman & Klaus, 2020).

Component 4: Connect

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Right Tribe 

The idea of “finding your people” is one that lots of individuals strive to achieve. Maintaining satisfying social ties with friends and family and living a socially-oriented lifestyle can decrease feelings of loneliness and contribute to beneficial mental health outcomes (Hitchcott et al., 2017). In Okinawa, children aged five are put into moai, committed social networks that exist indefinitely (Buettner & Skemp, 2016). These social circles provide individuals with the comfort of knowing they will always have support, whether financial, emotional, or otherwise. Nurturing healthy relationships like those in moai substantially increases one’s likelihood of longevity, explaining why this effort is so important for Blue Zone folk (Holt-Lunstad et al., 2010).

Loved Ones First

Another central theme in Blue Zone territories is keeping family close. Blue Zone residents, whether living near family or in intergenerational homes, emphasize investing in their families (Buettner & Skemp, 2016). In collectivist cultures such as Japan, harmonious relationships with family play a role in supporting psychological well-being (Kitayama et al., 2020). The same goes for the strong social support from family members in Italy; it is associated with few depressive symptoms later in life (Carpiniello et al., 1989). Living with aging parents and grandparents in intergenerational homes also lowers children’s disease and mortality rates (Buettner & Skemp, 2016). Prioritizing loved ones plays a role in longevity, as committing to a partner, commonly seen throughout Blue Zones, can add up to three years of life expectancy (Buettner & Skemp, 2016).

 

Prioritizing loved ones plays a role in longevity and can add up to three years of life expectancy.

 

Belong

Most centenarians in Blue Zone communities belong to a faith-based community, and all but five of 263 Blue Zone centenarians interviewed by Buettner belonged to a specific one (Buettner & Skemp, 2016). Denomination does not interfere with the impact of belonging to such a community, as religiosity is a protective factor for aging (Krause, 2003). Attending a faith-based service four times per month can add anywhere between four and 14 years of life expectancy. Older adults who gain a sense of meaning in life from religion also tend to report higher levels of mental health benefits such as life satisfaction, self-esteem, and optimism (Buettner & Skemp, 2016; Krause, 2003). Overall, the longest-living communities tend to incline toward faith-based groups.

 

Older adults who gain a sense of meaning from religion also report higher levels of mental health benefits such as life satisfaction, self-esteem, and optimism. 

 

What now?

The association of mental health and longevity, combined with the knowledge that there are pockets of the world producing abnormal amounts of centenarians, urges the exploration of what mental health efforts Blue Zone residents are implementing into their daily lives that may be impacting mortality.

The Power 9 provides distinct factors central to Blue Zone communities. Physical movement, mental health, diet, and social connection appear critical to uncovering the secrets of longevity and well-being. Yet many questions remain to be answered. How much influence does one factor have over the others? What role does food, specifically, play in the mental health of Blue Zone residents?

 

Physical movement, mental health, diet, and social connection appear critical to uncovering the secrets of longevity and well-being. 

 

More research on Blue Zones is expected in the upcoming years. As our understanding of the diet-mental health relationship (DMHR) evolves and becomes more central to various healthcare settings, Blue Zones may provide a unique opportunity to boost healthy living. 

The interplay of diet and mental health and its impact on longevity will be further explored in the context of Blue Zone regions in two upcoming articles.

 

References

Alimujiang, A., Wiensch, A., Boss, J. (2019) Association between life purpose and mortality among US adults older than 50 years. JAMA Network Open, 2(5). doi:10.1001/jamanetworkopen.2019.4270

Buettner, D., Skemp, S. (2016). Blue zones: lessons from the world’s longest lived. Sage Journals, 10(5), 318-321. https://doi.org/10.1177/1559827616637066

Carpiniello B., Carta M. G., Rudas N. (1989). Depression among elderly people. A psychosocial study of urban and rural populations. Acta Psychiatrica Scandinavica, 80(5), 445–450. Doi: 10.1111/j.1600-0447.1989.tb03004.x

Fastame, M.C., Hitchcott, P.K., Mulas, I., Ruiu, M., Penna, M.P. (2018). Resilience in elders of the Sardinian blue zone: an explorative study. Behavioral Sciences, 8(3), doi: 10.3390/bs8030030

Fukkoshi, Y., Akamatsu, R., Shimpo, M. (2016). The relationship of eating until 80% full with types and energy values of food consumed. Science Direct, 17, 153-156. https://doi.org/10.1016/j.eatbeh.2015.03.001

Herskind, A.M., McGue, M., Holm, N.V., Sorensen, T.I.A., Harvald, B., Vaupel, J.W. (1996). The heritability of human longevity: a population-based study of 2872 Danish twin pairs born 1870-1900. Human Gent, 97(3), 319-323. DOI: 10.1007/BF02185763

Hitchcott, P.K., Fastame, M.C., Ferrai, J., Penna, M.P. (2017). Psychological well-being in Italian families: an exploratory approach to the study of mental health across the adult life span in blue zone. Europe’s Journal of Psychology, 13(3), 441-454. Doi:

10.5964/ejop.v13i3.1416

Holt-Lunstad, J., Smith, T.B., Layton, J.B. (2010). Social relationships and mortality risk: a meta-analytic review. Plos Medicine, 7(7). https://doi.org/10.1371/journal.pmed.1000316

Kitayama S., Markus H. R., Kurokawa M. (2000). Culture, emotion, and well-being: good feelings in Japan and the United States. Cognition and Emotion, 14(1), 93–124. Doi: 10.1080/026999300379003

Krause, N. (2003). Religious meaning and subjective well-being in late life. The Journals of Gerontology, 58(3), S160-S170. https://doi.org/10.1093/geronb/58.3.S160

Norman, K., Klaus, S. (2020). Veganism, aging and longevity: new insight into old concepts. Current Opinion in Clinical Nutrition and Metabolic Care, 23(2), 145-150. doi:10.1097/MCO.0000000000000625

Pizzino, G., Irrera, N., Cucinotta, M., Pallio, G., Mannino, F., Arcoraci, V., Squadrito, F., Altavilla, D., Bitto, A. (2017). Oxidative stress: harms and benefits for human health. Oxidative Medicine and Cellular Longevity, 2017: 8416763. salgen.it doi: 10.1155/2017/8416763

Ruiu, M., Carta, V., Deiana, C., Fastame, M.C. (2022). Is the Sardinian blue zone the new Shangri-la for mental health? Evidence on depressive symptoms and its correlates in late adult life span. Aging Clinical and Experimental Research, 34, 1315-1322.https://doi.org/10.1007/s40520-021-02068-7

Salleh, M.R. (2008). Life event, stress, and illness. The Malaysian Journal of Medical Sciences, 15(4), 9-18.

Willcox, D.C., Willcox, B.J., Todoriki, H., Curb, J.D., Suzuki, M. (2006). Caloric restriction and human longevity: what we can learn from the Okinawans. Biogerontology, 7, 173-177. https://doi.org/10.1007/s10522-006-9008-z

 

Refined Grains May Increase the Risk for Cardiovascular Diseases and Affect the Diet-Mental Health Relationship

As technological advances revolutionized agriculture and food science, foods are now processed at industrial scales and supplied in abundance to meet global demands. However, changes in food production have led to the creation of items that are now consumed in excess, particularly products with refined grains and added sugars. 

 

Changes in food production have led to the creation of items that are now consumed in excess, particularly products with refined grains and added sugars. 

 

Previous studies have reported a positive association between eating refined grains and greater risk factors for cardiovascular diseases (CVD) among U.S. adults (Howard & Wylie-Rosett, 2002; Yang et al., 2014; Dehghan et al., 2017). Both refined and whole grains contribute significantly to the global daily caloric intake (Kearney, 2010). 

Being that grains are pervasive in the global diet, it is critical to understand their impact on physical health and the diet-mental health relationship. Compared to whole grains, which have been associated with reduced risks of CVDs and mortality (Ye, et al., 2012), refined grains and their health outcomes have yet to be fully understood.

 

Being that grains are pervasive in the global diet, it is critical to understand their impact on physical health and the diet-mental health relationship.

 

To bridge this knowledge gap, Swaminathan et al. (2021) led a prospective cohort study (PCS) to examine the relationship between the consumption of grains and CVDs. A PCS design is longitudinal and evaluates participants that are similar but differ in one key aspect for comparison of the same outcome. Utilizing data in their analysis from 2003 to 2019 from the Prospective Urban Rural Epidemiology (PURE) study, researchers compared the diets of participants from low-, middle-, and high-income countries in an effort to observe how different intake levels of refined grains, whole grains, and white rice are associated with CVDs and mortality (Corsi et al., 2013;  Swaminathan et al., 2021). This study did not compare the relationship between CVDs and no, or minimal, grain consumption (as in a ketogenic or low-carbohydrate diet).

 

Refined grains are defined as products modified to have low fiber content like white bread, dessert/pastries, processed noodles/pasta, and breakfast cereals.

 

White rice was stratified as a group separate from refined and whole grains as 60% of the participants in the PURE dataset were from Asia, where white rice is an integral part of their diet. Furthermore, refined grains are defined as products modified to have low fiber content like white bread, dessert/pastries, processed noodles/pasta, and breakfast cereals. In contrast, whole grains are foods made with intact grains like oats and whole wheat, which have higher fiber content. 

The authors found that a higher dietary intake of refined grains in countries like China and in South East Asia is significantly associated with higher risks of mortality, major CVDs, and comorbidities such as high blood pressure, myocardial infarction, strokes, and heart failure (Figure 1). This relationship was not observed in regions of South Asia where white rice constitutes the highest grain intake or where whole grain is the staple, as in Africa. Particularly for diets comprised largely of white rice, there is less concern about high intake as the countries whose individuals commonly eat white rice do so at controllable levels with their meals as it is customary to pair it with other protein- or vegetable-based dishes.

 

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Figure 1. Eating high amounts of refined grains is significantly associated with greater risks for mortality and developing cardiovascular diseases. This relationship was not found for whole-grain foods like oatmeal and wheat bread.

 

A higher dietary intake of refined grains in countries like China and in South East Asia is significantly associated with higher risks of mortality, major CVDs, and comorbidities such as high blood pressure, myocardial infarction, strokes, and heart failure. 

 

In their discussion, the authors hypothesized that this outcome is a direct result of the production process of refined grains, which makes their sugar content more easily absorbed into the bloodstream. As a result, this elevates insulin levels and causes blood glucose to decrease, ultimately tricking the brain into thinking it is still hungry and promoting feeding behaviors that lead to overeating, obesity, and CVDs. While the implications of these results on cardiovascular health and the ways that diet can affect our physical (and therefore psychological) well-being demand further research, Swaminathan et al. shed light agoradesign.it on the importance of choosing a balanced diet to maintain physical and dietary health.

 

Processed refined grains ultimately trick the brain into thinking it is still hungry and promote feeding behaviors that lead to overeating, obesity, and CVDs. 

 

Find these and more studies showing how the dietary intake of sugar and processed foods affect mood, brain, and behavior in the Nutritional Psychology Research Library (NPRL). You can also sign up for the CNP Newsletter to stay informed!

 

References

Corsi, D. J., Subramanian, S. V., Chow, C. K., McKee, M., Chifamba, J., Dagenais, G., Diaz, R., Iqbal, R., Kelishadi, R., Kruger, A., Lanas, F., López-Jaramilo, P., Mony, P., Mohan, V., Avezum, A., Oguz, A., Rahman, M. O., Rosengren, A., Szuba, A., Li, W., … Yusuf, S. (2013). Prospective Urban Rural Epidemiology (PURE) study: Baseline characteristics of the household sample and comparative analyses with national data in 17 countries. American heart journal, 166(4), 636–646.e4. https://doi.org/10.1016/j.ahj.2013.04.019 

Dehghan, M., Mente, A., Zhang, X., Swaminathan, S., Li, W., Mohan, V., Iqbal, R., Kumar, R., Wentzel-Viljoen, E., Rosengren, A., Amma, L. I., Avezum, A., Chifamba, J., Diaz, R., Khatib, R., Lear, S., Lopez-Jaramillo, P., Liu, X., Gupta, R., Mohammadifard, N., … Prospective Urban Rural Epidemiology (PURE) study investigators (2017). Associations of fats and carbohydrate intake with cardiovascular disease and mortality in 18 countries from five continents (PURE): a prospective cohort study. Lancet (London, England), 390(10107), 2050–2062. https://doi.org/10.1016/S0140-6736(17)32252-3 

Howard, B. V., & Wylie-Rosett, J. (2002). Sugar and cardiovascular disease: A statement for healthcare professionals from the Committee on Nutrition of the Council on Nutrition, Physical Activity, and Metabolism of the American Heart Association. Circulation, 106(4), 523–527. https://doi.org/10.1161/01.cir.0000019552.77778.04

Kearney J. (2010). Food consumption trends and drivers. Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 365(1554), 2793–2807. https://doi.org/10.1098/rstb.2010.0149 

Swaminathan, S., Dehghan, M., Raj, J. M., Thomas, T., Rangarajan, S., Jenkins, D., Mony, P., Mohan, V., Lear, S. A., Avezum, A., Lopez-Jaramillo, P., Rosengren, A., Lanas, F., AlHabib, K. F., Dans, A., Keskinler, M. V., Puoane, T., Soman, B., Wei, L., Zatonska, K., … Yusuf, S. (2021). Associations of cereal grains intake with cardiovascular disease and mortality across 21 countries in Prospective Urban and Rural Epidemiology study: prospective cohort study. BMJ cipf-es.org (Clinical research ed.), 372, m4948. https://doi.org/10.1136/bmj.m4948 

Yang, Q., Zhang, Z., Gregg, E. W., Flanders, W. D., Merritt, R., & Hu, F. B. (2014). Added sugar intake and cardiovascular diseases mortality among US adults. JAMA internal medicine, 174(4), 516–524. https://doi.org/10.1001/jamainternmed.2013.13563 

Ye, E. Q., Chacko, S. A., Chou, E. L., Kugizaki, M., & Liu, S. (2012). Greater whole-grain intake is associated with lower risk of type 2 diabetes, cardiovascular disease, and weight gain. The Journal of nutrition, 142(7), 1304–1313. https://doi.org/10.3945/jn.111.155325

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