Astrofood, Priorities and Pandemics: Reflections of an Ultra-Processed Breakfast Program and Contemporary Dysbiotic Drift
Abstract
:1. Introduction
1.1. Roadmap to the Current Review
1.2. Helping Out—Development of H-11
1.3. Processing the Legacy of Astrofood
1.4. Nutrition for Mental, Cognitive Health
1.5. Deconstructing Astrofood
1.6. Dysbiosis-Life in Distress
1.7. Extinction of Experience, Nature Relatedness
1.8. Engineering Policy, Marketing Dysbiosis
1.9. Disadvantage Compounded
1.10. Remediation, Broken System
2. Conclusions
Author Contributions
Conflicts of Interest
References
- Cotton, R.H. Engineering in relation to nutrition: A parameter of the educational environment. In Proceedings of the 8th Annual Meeting of the National Academy of Engineering, Washington, DC, USA, 1–2 November 1971; pp. 205–217. [Google Scholar]
- ITT. The way to a kid’s head is through his stomach. The Los Angeles Times, 9 November 1971; 67. [Google Scholar]
- Zwerdling, D. School kids have cake and eat it too in nutritional breakfast program. Arizona Republic, 17 September 1972; 27. [Google Scholar]
- Zwerdling, D. USDA decrees: Let them eat cake for breakfast. Lansing State Journal, 12 October 1972; F6. [Google Scholar]
- Zwerdling, D. If kids don’t have bread for breakfast, let them eat cake. The Morning News, 25 September 1972. [Google Scholar]
- Rosenfield, D. What’s new in foods? Food Nutr. 1972, 2, 11–13. [Google Scholar]
- ITT Advertisement. The way to a kid’s head is through his stomach. Los Angeles Times, 9 November 1971; 67. [Google Scholar]
- ITT Advertisement. The way to a kid’s head is through his stomach. Black Enterp. 1972, 2, 53. [Google Scholar]
- ITT. The way to a kid’s head is through his stomach. Ebony 1972, 27, 134. [Google Scholar]
- U.S. Government Printing Office. Recommended Research and Development; Superintendent of Documents; U.S. Government Printing Office: Washington, DC, USA, 1969; p. 219.
- Dubos, R. The genius of design. In The Rest of Our Lives, Proceedings of the International Design Conference, Aspen, CO, USA, 15–20 June 1969; Chermayeff, I., Wolf, H., Eds.; IDCA Printing: Aspen, CO, USA, 1969; pp. 57–63. [Google Scholar]
- United Nations Decade of Action on Nutrition (2016–2025): Work Program. Available online: http://www.who.int/nutrition/decade-of-action/workprogramme-doa2016to2025-en.Pdf (accessed on 20 August 2017).
- Black, C. Twinkies have a strong following. Asbury Park Press, 6 February 1976; 58, 60. [Google Scholar]
- Cotton, R.H.; Allgauer, A.J.; Nelson, A.W.; Koedding, D.W.; Baldwin, R.R. Astrofood: A fortified baked product with creamed filling. Cereal Sci. Today 1971, 16, 188–189. [Google Scholar]
- Cotton, R.H. Soy products in bakery goods. J. Am. Oil Chem. Soc. 1974, 51, 116A–119A. [Google Scholar] [CrossRef]
- Laughlin, R.N.; Woodward, M.C. An important message to every mother in America. The Los Angeles Times, 22 March 1971; 70. [Google Scholar]
- Laughlin, R.N.; Woodward, M.C. An important message to every mother in America. Tucson Daily Citizen, 24 March 1971; 18. [Google Scholar]
- Lachance, P.A. Nutrification: A concept for assuring nutritional quality by primary intervention in feeding systems. J. Agric. Food Chem. 1972, 20, 522–525. [Google Scholar] [CrossRef] [PubMed]
- Anderson, J. Sweet deal. The Times Herald, 24 May 1978; 10A. [Google Scholar]
- Mariotti Lippi, M.; Foggi, B.; Aranguren, B.; Ronchitelli, A.; Revedin, A. Multistep food plant processing at Grotta Paglicci (Southern Italy) around 32,600 cal b.P. Proc. Natl. Acad. Sci. USA 2015, 112, 12075–12080. [Google Scholar] [CrossRef] [PubMed]
- Selhub, E.M.; Logan, A.C.; Bested, A.C. Fermented foods, microbiota, and mental health: Ancient practice meets nutritional psychiatry. J. Physiol. Anthropol. 2014, 33, 2. [Google Scholar] [CrossRef] [PubMed]
- Monteiro, C.A.; Cannon, G.; Moubarac, J.C.; Levy, R.B.; Louzada, M.L.; Jaime, P.C. The UN decade of nutrition, the nova food classification and the trouble with ultra-processing. Public Health Nutr. 2017. [Google Scholar] [CrossRef] [PubMed]
- Scrinis, G.; Monteiro, C.A. Ultra-processed foods and the limits of product reformulation. Public Health Nutr. 2017. [Google Scholar] [CrossRef] [PubMed]
- Ares, G.; Vidal, L.; Allegue, G.; Gimenez, A.; Bandeira, E.; Moratorio, X.; Molina, V.; Curutchet, M.R. Consumers’ conceptualization of ultra-processed foods. Appetite 2016, 105, 611–617. [Google Scholar] [CrossRef] [PubMed]
- Louzada, M.; Ricardo, C.Z.; Steele, E.M.; Levy, R.B.; Cannon, G.; Monteiro, C.A. The share of ultra-processed foods determines the overall nutritional quality of diets in Brazil. Public Health Nutr. 2017. [Google Scholar] [CrossRef] [PubMed]
- Martinez Steele, E.; Popkin, B.M.; Swinburn, B.; Monteiro, C.A. The share of ultra-processed foods and the overall nutritional quality of diets in the U.S.: Evidence from a nationally representative cross-sectional study. Popul. Health Metr. 2017, 15, 6. [Google Scholar] [CrossRef] [PubMed]
- Moubarac, J.C.; Batal, M.; Louzada, M.L.; Martinez Steele, E.; Monteiro, C.A. Consumption of ultra-processed foods predicts diet quality in Canada. Appetite 2017, 108, 512–520. [Google Scholar] [CrossRef] [PubMed]
- Fardet, A.; Mejean, C.; Laboure, H.; Andreeva, V.A.; Feron, G. The degree of processing of foods which are most widely consumed by the French elderly population is associated with satiety and glycemic potentials and nutrient profiles. Food Funct. 2017, 8, 651–658. [Google Scholar] [CrossRef] [PubMed]
- Mendonca, R.D.; Lopes, A.C.; Pimenta, A.M.; Gea, A.; Martinez-Gonzalez, M.A.; Bes-Rastrollo, M. Ultra-processed food consumption and the incidence of hypertension in a mediterranean cohort: The Seguimiento Universidad de Navarra Project. Am. J. Hypertens. 2017, 30, 358–366. [Google Scholar] [CrossRef] [PubMed]
- Monteiro, C.A.; Moubarac, J.C.; Levy, R.B.; Canella, D.S.; Louzada, M.; Cannon, G. Household availability of ultra-processed foods and obesity in nineteen European countries. Public Health Nutr. 2017, 1–9. [Google Scholar] [CrossRef] [PubMed]
- Costa, C.S.; Del-Ponte, B.; Assuncao, M.C.F.; Santos, I.S. Consumption of ultra-processed foods and body fat during childhood and adolescence: A systematic review. Public Health Nutr. 2017, 1–12. [Google Scholar] [CrossRef] [PubMed]
- Mendonca, R.D.; Pimenta, A.M.; Gea, A.; de la Fuente-Arrillaga, C.; Martinez-Gonzalez, M.A.; Lopes, A.C.; Bes-Rastrollo, M. Ultraprocessed food consumption and risk of overweight and obesity: The university of Navarra follow-up (sun) cohort study. Am. J. Clin. Nutr. 2016, 104, 1433–1440. [Google Scholar] [CrossRef] [PubMed]
- Rezende, L.F.; Azeredo, C.M.; Canella, D.S.; Luiz Odo, C.; Levy, R.B.; Eluf-Neto, J. Coronary heart disease mortality, cardiovascular disease mortality and all-cause mortality attributable to dietary intake over 20 years in Brazil. Int. J. Cardiol. 2016, 217, 64–68. [Google Scholar] [CrossRef] [PubMed]
- Rauber, F.; Campagnolo, P.D.; Hoffman, D.J.; Vitolo, M.R. Consumption of ultra-processed food products and its effects on children’s lipid profiles: A longitudinal study. Nutr. Metab. Cardiovasc. Dis. 2015, 25, 116–122. [Google Scholar] [CrossRef] [PubMed]
- Poti, J.M.; Mendez, M.A.; Ng, S.W.; Popkin, B.M. Is the degree of food processing and convenience linked with the nutritional quality of foods purchased by U.S. households? Am. J. Clin. Nutr. 2015, 101, 1251–1262. [Google Scholar] [CrossRef] [PubMed]
- Martinez Steele, E.; Baraldi, L.G.; Louzada, M.L.; Moubarac, J.C.; Mozaffarian, D.; Monteiro, C.A. Ultra-processed foods and added sugars in the U.S. diet: Evidence from a nationally representative cross-sectional study. BMJ Open 2016, 6, e009892. [Google Scholar] [CrossRef] [PubMed]
- Cediel, G.; Reyes, M.; da Costa Louzada, M.L.; Martinez Steele, E.; Monteiro, C.A.; Corvalan, C.; Uauy, R. Ultra-processed foods and added sugars in the chilean diet (2010). Public Health Nutr. 2017. [Google Scholar] [CrossRef] [PubMed]
- Louzada, M.L.; Martins, A.P.; Canella, D.S.; Baraldi, L.G.; Levy, R.B.; Claro, R.; Moubarac, J.C.; Cannon, G.; Monteiro, C.A. Consumption of ultra-processed foods and obesity in Brazilian adolescents and adults. Rev. Saude Publica 2015, 49, 45. [Google Scholar] [CrossRef] [PubMed]
- Batal, M.; Johnson-Down, L.; Moubarac, J.C.; Ing, A.; Fediuk, K.; Sadik, T.; Tikhonov, C.; Chan, L.; Willows, N. Quantifying associations of the dietary share of ultra-processed foods with overall diet quality in first nations peoples in the Canadian provinces of British Columbia, Alberta, Manitoba and Ontario. Public Health Nutr. 2017, 1–11. [Google Scholar] [CrossRef] [PubMed]
- Huh, I.S.; Kim, H.; Jo, H.K.; Lim, C.S.; Kim, J.S.; Kim, S.J.; Kwon, O.; Oh, B.; Chang, N. Instant noodle consumption is associated with cardiometabolic risk factors among college students in Seoul. Nutr. Res. Pract. 2017, 11, 232–239. [Google Scholar] [CrossRef] [PubMed]
- Park, S.; Choi, H.S.; Bae, J.H. Instant noodles, processed food intake, and dietary pattern are associated with atopic dermatitis in an adult population (KNHANES 2009–2011). Asia Pac. J. Clin. Nutr. 2016, 25, 602–613. [Google Scholar] [PubMed]
- Kim, S.Y.; Sim, S.; Park, B.; Kong, I.G.; Kim, J.H.; Choi, H.G. Dietary habits are associated with school performance in adolescents. Medicine 2016, 95, e3096. [Google Scholar] [CrossRef] [PubMed]
- James, P.; Seward, M.W.; James O’Malley, A.; Subramanian, S.V.; Block, J.P. Changes in the food environment over time: Examining 40 years of data in the Framingham heart study. Int. J. Behav. Nutr. Phys. Act. 2017, 14, 84. [Google Scholar] [CrossRef] [PubMed]
- Zenk, S.N.; Tarlov, E.; Powell, L.M. Weight and veterans’ environments study (waves) I and II. Am. J. Health Promot. 2017, in press. [Google Scholar] [CrossRef]
- Wang, Y.; Wang, L.; Xue, H.; Qu, W. A review of the growth of the fast food industry in China and its potential impact on obesity. Int. J. Environ. Res. Public Health 2016, 13, 1112. [Google Scholar] [CrossRef] [PubMed]
- Keshari, P.; Mishra, C.P. Growing menace of fast food consumption in India: Time to act. Int. J. Community Med. Public Health 2017, 3, 1355–1362. [Google Scholar] [CrossRef]
- Moayyed, H.; Kelly, B.; Feng, X.; Flood, V. Evaluation of a “healthiness” rating system for food outlet types in Australian residential communities. Nutr. Diet 2017, 74, 29–35. [Google Scholar] [CrossRef] [PubMed]
- Lenk, K.M.; Caspi, C.E.; Harnack, L.; Laska, M.N. Customer characteristics and shopping patterns associated with healthy and unhealthy purchases at small and non-traditional food stores. J. Community Health 2017. [Google Scholar] [CrossRef] [PubMed]
- Grech, A.; Hebden, L.; Roy, R.; Allman-Farinelli, M. Are products sold in university vending machines nutritionally poor? A food environment audit. Nutr. Diet 2017, 74, 185–190. [Google Scholar] [CrossRef] [PubMed]
- Monroy-Parada, D.X.; Jacome-Gonzalez, M.L.; Moya-Geromini, M.A.; Rodriguez-Artalejo, F.; Royo-Bordonada, M.A. Adherence to nutritional recommendations in vending machines at secondary schools in Madrid (Spain), 2014–2015. Gac. Sanit. 2017. [Google Scholar] [CrossRef] [PubMed]
- Gidney, C. “Nutritional wastelands”: Vending machines, fast food outlets, and the fight over junk food in Canadian schools. Can. Bull. Med. Hist. 2015, 32, 391–409. [Google Scholar] [CrossRef] [PubMed]
- Manyanga, T.; Tremblay, M.S.; Chaput, J.P.; Katzmarzyk, P.T.; Fogelholm, M.; Hu, G.; Kuriyan, R.; Kurpad, A.; Lambert, E.V.; Maher, C.; et al. Socioeconomic status and dietary patterns in children from around the world: Different associations by levels of country human development? BMC Public Health 2017, 17, 457. [Google Scholar] [CrossRef] [PubMed]
- Gelenberg, A. Nutrition in psychiatry: We are what we eat? J. Clin. Psychiatry 1980, 41, 328–329. [Google Scholar] [PubMed]
- O’Dea, J.A.; Mugridge, A.C. Nutritional quality of breakfast and physical activity independently predict the literacy and numeracy scores of children after adjusting for socioeconomic status. Health Educ. Res. 2012, 27, 975–985. [Google Scholar] [CrossRef] [PubMed]
- Burrows, T.; Goldman, S.; Pursey, K.; Lim, R. Is there an association between dietary intake and academic achievement: A systematic review. J. Hum. Nutr. Diet 2017, 30, 117–140. [Google Scholar] [CrossRef] [PubMed]
- Ptomey, L.T.; Steger, F.L.; Schubert, M.M.; Lee, J.; Willis, E.A.; Sullivan, D.K.; Szabo-Reed, A.N.; Washburn, R.A.; Donnelly, J.E. Breakfast intake and composition is associated with superior academic achievement in elementary schoolchildren. J. Am. Coll. Nutr. 2016, 35, 326–333. [Google Scholar] [CrossRef] [PubMed]
- Anzman-Frasca, S.; Djang, H.C.; Halmo, M.M.; Dolan, P.R.; Economos, C.D. Estimating impacts of a breakfast in the classroom program on school outcomes. JAMA Pediatr. 2015, 169, 71–77. [Google Scholar] [CrossRef] [PubMed]
- Young, H.; Benton, D. The effect of using isomaltulose (palatinose) to modulate the glycaemic properties of breakfast on the cognitive performance of children. Eur. J. Nutr. 2015, 54, 1013–1020. [Google Scholar] [CrossRef] [PubMed]
- Benton, D.; Maconie, A.; Williams, C. The influence of the glycaemic load of breakfast on the behaviour of children in school. Physiol. Behav. 2007, 92, 717–724. [Google Scholar] [CrossRef] [PubMed]
- Ingwersen, J.; Defeyter, M.A.; Kennedy, D.O.; Wesnes, K.A.; Scholey, A.B. A low glycaemic index breakfast cereal preferentially prevents children’s cognitive performance from declining throughout the morning. Appetite 2007, 49, 240–244. [Google Scholar] [CrossRef] [PubMed]
- Attuquayefio, T.; Stevenson, R.J.; Oaten, M.J.; Francis, H.M. A four-day western-style dietary intervention causes reductions in hippocampal-dependent learning and memory and interoceptive sensitivity. PLoS ONE 2017, 12, e0172645. [Google Scholar] [CrossRef] [PubMed]
- Lee, S.A.; Park, E.C.; Ju, Y.J.; Lee, T.H.; Han, E.; Kim, T.H. Breakfast consumption and depressive mood: A focus on socioeconomic status. Appetite 2017, 114, 313–319. [Google Scholar] [CrossRef] [PubMed]
- Baron, R.; Mannien, J.; te Velde, S.J.; Klomp, T.; Hutton, E.K.; Brug, J. Socio-demographic inequalities across a range of health status indicators and health behaviours among pregnant women in prenatal primary care: A cross-sectional study. BMC Pregnancy Childbirth 2015, 15, 261. [Google Scholar] [CrossRef] [PubMed]
- Lee, G.; Han, K.; Kim, H. Risk of mental health problems in adolescents skipping meals: The Korean national health and nutrition examination survey 2010 to 2012. Nurs. Outlook 2017, 65, 411–419. [Google Scholar] [CrossRef] [PubMed]
- Li, Y.; Lv, M.R.; Wei, Y.J.; Sun, L.; Zhang, J.X.; Zhang, H.G.; Li, B. Dietary patterns and depression risk: A meta-analysis. Psychiatry Res. 2017, 253, 373–382. [Google Scholar] [CrossRef] [PubMed]
- Cohen, J.F.; Gorski, M.T.; Gruber, S.A.; Kurdziel, L.B.; Rimm, E.B. The effect of healthy dietary consumption on executive cognitive functioning in children and adolescents: A systematic review. Br. J. Nutr. 2016, 116, 989–1000. [Google Scholar] [CrossRef] [PubMed]
- Rios-Hernandez, A.; Alda, J.A.; Farran-Codina, A.; Ferreira-Garcia, E.; Izquierdo-Pulido, M. The mediterranean diet and adhd in children and adolescents. Pediatrics 2017, 139, e20162027. [Google Scholar] [CrossRef] [PubMed]
- Jacka, F.N.; Cherbuin, N.; Anstey, K.J.; Sachdev, P.; Butterworth, P. Western diet is associated with a smaller hippocampus: A longitudinal investigation. BMC Med. 2015, 13, 215. [Google Scholar] [CrossRef] [PubMed]
- Lee, J.; Pase, M.; Pipingas, A.; Raubenheimer, J.; Thurgood, M.; Villalon, L.; Macpherson, H.; Gibbs, A.; Scholey, A. Switching to a 10-day mediterranean-style diet improves mood and cardiovascular function in a controlled crossover study. Nutrition 2015, 31, 647–652. [Google Scholar] [CrossRef] [PubMed]
- McMillan, L.; Owen, L.; Kras, M.; Scholey, A. Behavioural effects of a 10-day mediterranean diet. Results from a pilot study evaluating mood and cognitive performance. Appetite 2011, 56, 143–147. [Google Scholar] [CrossRef] [PubMed]
- Steenbruggen, T.G.; Hoekstra, S.J.; van der Gaag, E.J. Could a change in diet revitalize children who suffer from unresolved fatigue? Nutrients 2015, 7, 1965–1977. [Google Scholar] [CrossRef] [PubMed]
- Jacka, F.N.; O’Neil, A.; Opie, R.; Itsiopoulos, C.; Cotton, S.; Mohebbi, M.; Castle, D.; Dash, S.; Mihalopoulos, C.; Chatterton, M.L.; et al. A randomised controlled trial of dietary improvement for adults with major depression (the “smiles” trial). BMC Med. 2017, 15, 23. [Google Scholar] [CrossRef] [PubMed]
- Breymeyer, K.L.; Lampe, J.W.; McGregor, B.A.; Neuhouser, M.L. Subjective mood and energy levels of healthy weight and overweight/obese healthy adults on high-and low-glycemic load experimental diets. Appetite 2016, 107, 253–259. [Google Scholar] [CrossRef] [PubMed]
- Simopoulos, A.P.; DiNicolantonio, J.J. The importance of a balanced omega-6 to omega-3 ratio in the prevention and management of obesity. Open Heart 2016, 3, e000385. [Google Scholar] [CrossRef] [PubMed]
- Simopoulos, A.P. An increase in the omega-6/omega-3 fatty acid ratio increases the risk for obesity. Nutrients 2016, 8, 128. [Google Scholar] [CrossRef] [PubMed]
- Grant, R.; Guest, J. Role of omega-3 pufas in neurobiological health. Adv. Neurobiol. 2016, 12, 247–274. [Google Scholar] [PubMed]
- Husted, K.S.; Bouzinova, E.V. The importance of n-6/n-3 fatty acids ratio in the major depressive disorder. Medicina 2016, 52, 139–147. [Google Scholar] [CrossRef] [PubMed]
- Parletta, N.; Niyonsenga, T.; Duff, J. Omega-3 and omega-6 polyunsaturated fatty acid levels and correlations with symptoms in children with attention deficit hyperactivity disorder, autistic spectrum disorder and typically developing controls. PLoS ONE 2016, 11, e0156432. [Google Scholar] [CrossRef] [PubMed]
- Knuppel, A.; Shipley, M.J.; Llewellyn, C.H.; Brunner, E.J. Sugar intake from sweet food and beverages, common mental disorder and depression: Prospective findings from the whitehall II study. Sci. Rep. 2017, 7, 6287. [Google Scholar] [CrossRef] [PubMed]
- Wiss, D.A.; Criscitelli, K.; Gold, M.; Avena, N. Preclinical evidence for the addiction potential of highly palatable foods: Current developments related to maternal influence. Appetite 2017, 115, 19–27. [Google Scholar] [CrossRef] [PubMed]
- Yu, C.J.; Du, J.C.; Chiou, H.C.; Feng, C.C.; Chung, M.Y.; Yang, W.; Chen, Y.S.; Chien, L.C.; Hwang, B.; Chen, M.L. Sugar-sweetened beverage consumption is adversely associated with childhood attention deficit/hyperactivity disorder. Int. J. Environ. Res. Public Health 2016, 13, E678. [Google Scholar] [CrossRef] [PubMed]
- Tenk, C.M.; Felfeli, T. Sucrose and fat content significantly affects palatable food consumption in adolescent male and female rats. Appetite 2017, 118, 49–59. [Google Scholar] [CrossRef] [PubMed]
- Rakosky, J. Soy products for the meat industry. J. Agric. Food Chem. 1970, 18, 1005–1009. [Google Scholar] [CrossRef]
- McCloud, J.T. Soy protein in school feeding programs. J. Am. Oil Chem. Soc. 1974, 51, 141A. [Google Scholar] [CrossRef]
- Cassidy, A.; Brown, J.E.; Hawdon, A.; Faughnan, M.S.; King, L.J.; Millward, J.; Zimmer-Nechemias, L.; Wolfe, B.; Setchell, K.D. Factors affecting the bioavailability of soy isoflavones in humans after ingestion of physiologically relevant levels from different soy foods. J. Nutr. 2006, 136, 45–51. [Google Scholar] [PubMed]
- Rakosky, J. Soy protein in foods: Their use and regulations in the U.S. J. Am. Oil Chem. Soc. 1975, 52, 272a–274a. [Google Scholar] [CrossRef] [PubMed]
- Hartley, D.E.; Edwards, J.E.; Spiller, C.E.; Alom, N.; Tucci, S.; Seth, P.; Forsling, M.L.; File, S.E. The soya isoflavone content of rat diet can increase anxiety and stress hormone release in the male rat. Psychopharmacology 2003, 167, 46–53. [Google Scholar] [CrossRef] [PubMed]
- Patisaul, H.B.; Blum, A.; Luskin, J.R.; Wilson, M.E. Dietary soy supplements produce opposite effects on anxiety in intact male and female rats in the elevated plus-maze. Behav. Neurosci. 2005, 119, 587–594. [Google Scholar] [CrossRef] [PubMed]
- Yu, B.; Yu, F.; Su, Q.; Zhang, Q.; Liu, L.; Meng, G.; Wu, H.; Xia, Y.; Bao, X.; Shi, H.; et al. A j-shaped association between soy food intake and depressive symptoms in Chinese adults. Clin. Nutr. 2017. [Google Scholar] [CrossRef] [PubMed]
- Uribarri, J.; Woodruff, S.; Goodman, S.; Cai, W.; Chen, X.; Pyzik, R.; Yong, A.; Striker, G.E.; Vlassara, H. Advanced glycation end products in foods and a practical guide to their reduction in the diet. J. Am. Diet Assoc. 2010, 110, 911–916. [Google Scholar] [CrossRef] [PubMed]
- Saha, A.; Poojary, P.; Chan, L.; Chauhan, K.; Nadkarni, G.; Coca, S.; Uribarri, J. Increased odds of metabolic syndrome with consumption of high dietary advanced glycation end products in adolescents. Diabetes Metab. 2017. [Google Scholar] [CrossRef] [PubMed]
- Aragno, M.; Mastrocola, R. Dietary sugars and endogenous formation of advanced glycation endproducts: Emerging mechanisms of disease. Nutrients 2017, 9, E385. [Google Scholar] [CrossRef] [PubMed]
- Smith, P.K. Do advanced glycation end-products cause food allergy? Curr. Opin. Allergy Clin. Immunol. 2017. [Google Scholar] [CrossRef] [PubMed]
- Prasad, K.; Tiwari, S. Therapeutic interventions for advanced glycation-end products and its receptor- mediated cardiovascular disease. Curr. Pharm. Des. 2017, 23, 937–943. [Google Scholar] [CrossRef] [PubMed]
- Stevens, L.J.; Burgess, J.R.; Stochelski, M.A.; Kuczek, T. Amounts of artificial food dyes and added sugars in foods and sweets commonly consumed by children. Clin. Pediatr. 2015, 54, 309–321. [Google Scholar] [CrossRef] [PubMed]
- Raposa, B.; Ponusz, R.; Gerencser, G.; Budan, F.; Gyongyi, Z.; Tibold, A.; Hegyi, D.; Kiss, I.; Koller, A.; Varjas, T. Food additives: Sodium benzoate, potassium sorbate, azorubine, and tartrazine modify the expression of nfkappab, gadd45alpha, and mapk8 genes. Physiol. Int. 2016, 103, 334–343. [Google Scholar] [CrossRef] [PubMed]
- Stevens, L.J.; Kuczek, T.; Burgess, J.R.; Stochelski, M.A.; Arnold, L.E.; Galland, L. Mechanisms of behavioral, atopic, and other reactions to artificial food colors in children. Nutr. Rev. 2013, 71, 268–281. [Google Scholar] [CrossRef] [PubMed]
- Batada, A.; Jacobson, M.F. Prevalence of artificial food colors in grocery store products marketed to children. Clin. Pediatr. 2016, 55, 1113–1119. [Google Scholar] [CrossRef] [PubMed]
- Buka, I.; Osornio-Vargas, A.; Clark, B. Food additives, essential nutrients and neurodevelopmental behavioural disorders in children: A brief review. Paediatr. Child Health 2011, 16, e54–e56. [Google Scholar] [PubMed]
- Gibson, R. Too skinny a burger is a mighty hard sell Mcdonald’s learns. The Wall Street Journal, 4 April 1993; 1A. [Google Scholar]
- Martino, J.V.; Van Limbergen, J.; Cahill, L.E. The role of carrageenan and carboxymethylcellulose in the development of intestinal inflammation. Front. Pediatr. 2017, 5, 96. [Google Scholar] [CrossRef] [PubMed]
- Prescott, S.L. History of medicine: Origin of the term microbiome and why it matters. Hum. Microbiome J. 2017, 4, 24–25. [Google Scholar] [CrossRef]
- Dubos, R. Lasting biological effects of early influences. Perspect. Biol. Med. 1969, 12, 479–491. [Google Scholar] [CrossRef] [PubMed]
- Dubos, R.; Savage, D.; Schaedler, R. Biological freudianism. Lasting effects of early environmental influences. Pediatrics 1966, 38, 789–800. [Google Scholar] [PubMed]
- Petersen, C.; Round, J.L. Defining dysbiosis and its influence on host immunity and disease. Cell Microbiol. 2014, 16, 1024–1033. [Google Scholar] [CrossRef] [PubMed]
- Ridaura, V.K.; Faith, J.J.; Rey, F.E.; Cheng, J.; Duncan, A.E.; Kau, A.L.; Griffin, N.W.; Lombard, V.; Henrissat, B.; Bain, J.R.; et al. Gut microbiota from twins discordant for obesity modulate metabolism in mice. Science 2013, 341, 1241214. [Google Scholar] [CrossRef] [PubMed]
- De Palma, G.; Lynch, M.D.; Lu, J.; Dang, V.T.; Deng, Y.; Jury, J.; Umeh, G.; Miranda, P.M.; Pigrau Pastor, M.; Sidani, S.; et al. Transplantation of fecal microbiota from patients with irritable bowel syndrome alters gut function and behavior in recipient mice. Sci. Transl. Med. 2017, 9. [Google Scholar] [CrossRef] [PubMed]
- Kelly, J.R.; Borre, Y.; O’Brien, C.; Patterson, E.; El Aidy, S.; Deane, J.; Kennedy, P.J.; Beers, S.; Scott, K.; Moloney, G.; et al. Transferring the blues: Depression-associated gut microbiota induces neurobehavioural changes in the rat. J. Psychiatr. Res. 2016, 82, 109–118. [Google Scholar] [CrossRef] [PubMed]
- Gupta, V.K.; Paul, S.; Dutta, C. Geography, ethnicity or subsistence-specific variations in human microbiome composition and diversity. Front. Microbiol. 2017, 8, 1162. [Google Scholar] [CrossRef] [PubMed]
- Segata, N. Gut microbiome: Westernization and the disappearance of intestinal diversity. Curr. Biol. 2015, 25, R611–R613. [Google Scholar] [CrossRef] [PubMed]
- Thaiss, C.A.; Itav, S.; Rothschild, D.; Meijer, M.; Levy, M.; Moresi, C.; Dohnalova, L.; Braverman, S.; Rozin, S.; Malitsky, S.; et al. Persistent microbiome alterations modulate the rate of post-dieting weight regain. Nature 2016. [Google Scholar] [CrossRef] [PubMed]
- Kina-Tanada, M.; Sakanashi, M.; Tanimoto, A.; Kaname, T.; Matsuzaki, T.; Noguchi, K.; Uchida, T.; Nakasone, J.; Kozuka, C.; Ishida, M.; et al. Long-term dietary nitrite and nitrate deficiency causes the metabolic syndrome, endothelial dysfunction and cardiovascular death in mice. Diabetologia 2017, 60, 1138–1151. [Google Scholar] [CrossRef] [PubMed]
- Sonnenburg, E.D.; Smits, S.A.; Tikhonov, M.; Higginbottom, S.K.; Wingreen, N.S.; Sonnenburg, J.L. Diet-induced extinctions in the gut microbiota compound over generations. Nature 2016, 529, 212–215. [Google Scholar] [CrossRef] [PubMed]
- Noble, E.E.; Hsu, T.M.; Jones, R.B.; Fodor, A.A.; Goran, M.I.; Kanoski, S.E. Early-life sugar consumption affects the rat microbiome independently of obesity. J. Nutr. 2017, 147, 20–28. [Google Scholar] [CrossRef] [PubMed]
- Qu, W.; Yuan, X.; Zhao, J.; Zhang, Y.; Hu, J.; Wang, J.; Li, J. Dietary advanced glycation end products modify gut microbial composition and partially increase colon permeability in rats. Mol. Nutr. Food Res. 2017. [Google Scholar] [CrossRef] [PubMed]
- Chassaing, B.; Van de Wiele, T.; De Bodt, J.; Marzorati, M.; Gewirtz, A.T. Dietary emulsifiers directly alter human microbiota composition and gene expression ex vivo potentiating intestinal inflammation. Gut 2017, 66, 1414–1427. [Google Scholar] [CrossRef] [PubMed]
- Singh, R.K.; Wheildon, N.; Ishikawa, S. Food additive p-80 impacts mouse gut microbiota promoting intestinal inflammation, obesity and liver dysfunction. SOJ Microbiol. Infect. Dis. 2016, 4. [Google Scholar] [CrossRef] [PubMed]
- Viennois, E.; Merlin, D.; Gewirtz, A.T.; Chassaing, B. Dietary emulsifier-induced low-grade inflammation promotes colon carcinogenesis. Cancer Res. 2017, 77, 27–40. [Google Scholar] [CrossRef] [PubMed]
- Kaliannan, K.; Wang, B.; Li, X.Y.; Kim, K.J.; Kang, J.X. A host-microbiome interaction mediates the opposing effects of omega-6 and omega-3 fatty acids on metabolic endotoxemia. Sci. Rep. 2015, 5, 11276. [Google Scholar] [CrossRef] [PubMed]
- Zhu, Y.; Shi, X.; Lin, X.; Ye, K.; Xu, X.; Li, C.; Zhou, G. Beef, chicken, and soy proteins in diets induce different gut microbiota and metabolites in rats. Front. Microbiol. 2017, 8, 1395. [Google Scholar] [CrossRef] [PubMed]
- Shang, Q.; Sun, W.; Shan, X.; Jiang, H.; Cai, C.; Hao, J.; Li, G.; Yu, G. Carrageenan-induced colitis is associated with decreased population of anti-inflammatory bacterium, akkermansia muciniphila, in the gut microbiota of c57bl/6j mice. Toxicol. Lett. 2017, 279, 87–95. [Google Scholar] [CrossRef] [PubMed]
- Henning, S.M.; Yang, J.; Shao, P.; Lee, R.P.; Huang, J.; Ly, A.; Hsu, M.; Lu, Q.Y.; Thames, G.; Heber, D.; et al. Health benefit of vegetable/fruit juice-based diet: Role of microbiome. Sci. Rep. 2017, 7, 2167. [Google Scholar] [CrossRef] [PubMed]
- Lawrence, K.; Hyde, J. Microbiome restoration diet improves digestion, cognition and physical and emotional wellbeing. PLoS ONE 2017, 12, e0179017. [Google Scholar] [CrossRef] [PubMed]
- Wallace, C.J.K.; Milev, R. The effects of probiotics on depressive symptoms in humans: A systematic review. Ann. Gen. Psychiatry 2017, 16, 14. [Google Scholar] [CrossRef] [PubMed]
- Schmidt, K.; Cowen, P.J.; Harmer, C.J.; Tzortzis, G.; Errington, S.; Burnet, P.W. Prebiotic intake reduces the waking cortisol response and alters emotional bias in healthy volunteers. Psychopharmacology 2015, 232, 1793–1801. [Google Scholar] [CrossRef] [PubMed]
- Nishida, K.; Sawada, D.; Kuwano, Y.; Sugawara, T.; Aoki, Y.; Fujiwara, S.; Rokutan, K. Daily administration of paraprobiotic lactobacillus gasseri cp2305 ameliorates chronic stress-associated symptoms in Japanese medical students. J. Funct. Food 2017, 36, 112–121. [Google Scholar] [CrossRef]
- Ohsawa, K.; Nakamura, F.; Uchida, N.; Mizuno, S.; Yokogoshi, H. Lactobacillus helveticus-fermented milk containing lactononadecapeptide (nippltqtpvvvppflqpe) improves cognitive function in healthy middle-aged adults: A randomised, double-blind, placebo-controlled trial. Int. J. Food Sci. Nutr. 2017, 1–8. [Google Scholar] [CrossRef] [PubMed]
- Noble, E.E.; Hsu, T.M.; Kanoski, S.E. Gut to brain dysbiosis: Mechanisms linking western diet consumption, the microbiome, and cognitive impairment. Front. Behav. Neurosci. 2017, 11, 9. [Google Scholar] [CrossRef] [PubMed]
- Cepeda, M.S.; Katz, E.G.; Blacketer, C. Microbiome-gut-brain axis: Probiotics and their association with depression. J. Neuropsychiatry Clin. Neurosci. 2017, 29, 39–44. [Google Scholar] [CrossRef] [PubMed]
- Soga, M.; Gaston, K.J. Extinction of experience: The loss of human-nature interactions. Front. Ecol. Environ. 2016, 14, 94–101. [Google Scholar] [CrossRef]
- Soga, M.; Gaston, K.J.; Yamaura, Y.; Kurisu, K.; Hanaki, K. Both direct and vicarious experiences of nature affect children’s willingness to conserve biodiversity. Int. J. Environ. Res. Public Health 2016, 13. [Google Scholar] [CrossRef] [PubMed]
- Lumber, R.; Richardson, M.; Sheffield, D. Beyond knowing nature: Contact, emotion, compassion, meaning, and beauty are pathways to nature connection. PLoS ONE 2017, 12, e0177186. [Google Scholar] [CrossRef] [PubMed]
- Capaldi, C.A.; Dopko, R.L.; Zelenski, J.M. The relationship between nature connectedness and happiness: A meta-analysis. Front. Psychol. 2014, 5, 976. [Google Scholar] [CrossRef] [PubMed]
- Nury, E.; Sarti, A.; Dijkstra, C.; Seidell, J.C.; Dedding, C. Sowing seeds for healthier diets: Children’s perspectives on school gardening. Int. J. Environ. Res. Public Health 2017, 14, E688. [Google Scholar] [CrossRef] [PubMed]
- Alaimo, K.; Beavers, A.W.; Crawford, C.; Snyder, E.H.; Litt, J.S. Amplifying health through community gardens: A framework for advancing multicomponent, behaviorally based neighborhood interventions. Curr. Environ. Health Rep. 2016, 3, 302–312. [Google Scholar] [CrossRef] [PubMed]
- Soga, M.; Gaston, K.J.; Yamaura, Y. Gardening is beneficial for health: A meta-analysis. Prev. Med. Rep. 2017, 5, 92–99. [Google Scholar] [CrossRef] [PubMed]
- Utter, J.; Denny, S.; Dyson, B. School gardens and adolescent nutrition and BMI: Results from a national, multilevel study. Prev. Med. 2016, 83, 1–4. [Google Scholar] [CrossRef] [PubMed]
- Brown, J.D.; Colson, G.; de La Serre, C.B.; Magnan, N. Summer garden programs improve children’s food knowledge and preferences: Evidence using stated and revealed preference measures. Horttechnology 2016, 26, 133–140. [Google Scholar]
- Zwerdling, D. Free breakfasts fatten snack food industry. Capital Journal, 20 November 1972; 5. [Google Scholar]
- Basch, C.H.; Hammond, R.; Ethan, D.; Samuel, L. Food advertisements in two popular U.S. Parenting magazines: Results of a five-year analysis. Glob. J. Health Sci. 2013, 6, 175–182. [Google Scholar] [CrossRef] [PubMed]
- LoDolce, M.E.; Harris, J.L.; Schwartz, M.B. Sugar as part of a balanced breakfast? What cereal advertisements teach children about healthy eating. J. Health Commun. 2013, 18, 1293–1309. [Google Scholar] [CrossRef] [PubMed]
- Cohen, D.A.; Babey, S.H. Contextual influences on eating behaviours: Heuristic processing and dietary choices. Obes. Rev. 2012, 13, 766–779. [Google Scholar] [CrossRef] [PubMed]
- Longacre, M.R.; Drake, K.M.; Titus, L.J.; Harris, J.; Cleveland, L.P.; Langeloh, G.; Hendricks, K.; Dalton, M.A. Child-targeted TV advertising and preschoolers’ consumption of high-sugar breakfast cereals. Appetite 2017, 108, 295–302. [Google Scholar] [CrossRef] [PubMed]
- Dalton, M.A.; Longacre, M.R.; Drake, K.M.; Cleveland, L.P.; Harris, J.L.; Hendricks, K.; Titus, L.J. Child-targeted fast-food television advertising exposure is linked with fast-food intake among pre-school children. Public Health Nutr. 2017, 20, 1548–1556. [Google Scholar] [CrossRef] [PubMed]
- Norman, J.; Kelly, B.; Boyland, E.; McMahon, A.T. The impact of marketing and advertising on food behaviours: Evaluating the evidence for a causal relationship. Curr. Nutr. Rep. 2016, 5, 139. [Google Scholar] [CrossRef]
- Dykstra, H.; Davey, A.; Fisher, J.O.; Polonsky, H.; Sherman, S.; Abel, M.L.; Dale, L.C.; Foster, G.D.; Bauer, K.W. Breakfast-skipping and selecting low-nutritional-quality foods for breakfast are common among low-income urban children, regardless of food security status. J. Nutr. 2016, 146, 630–636. [Google Scholar] [CrossRef] [PubMed]
- Ortiz, S.E.; Zimmerman, F.J.; Adler, G.J., Jr. Increasing public support for food-industry related, obesity prevention policies: The role of a taste-engineering frame and contextualized values. Soc. Sci. Med. 2016, 156, 142–153. [Google Scholar] [CrossRef] [PubMed]
- Glasgow, S.; Schrecker, T. The double burden of neoliberalism? Noncommunicable disease policies and the global political economy of risk. Health Place 2016, 39, 204–211. [Google Scholar] [CrossRef] [PubMed]
- Brijnath, B.; Antoniades, J. “I’m running my depression:” Self-management of depression in neoliberal Australia. Soc. Sci. Med. 2016, 152, 1–8. [Google Scholar] [CrossRef] [PubMed]
- Davies, J. Political pills: Psychopharmaceuticals and neoliberalism as mutually supporting. In The Sedated Society; Davies, J., Ed.; Springer: Cham, Switzerland, 2017; pp. 189–225. [Google Scholar]
- Clapp, J.; Scrinis, G. Big food, nutritionism, and corporate power. Globalizations 2017, 14, 578–595. [Google Scholar] [CrossRef]
- Leon, K.S.; Ken, I. Food fraud and the partnership for a “healthier” America: A case study in state-corporate crime. Crit. Criminol. 2017, in press. [Google Scholar] [CrossRef]
- Aaron, D.G.; Siegel, M.B. Sponsorship of national health organizations by two major soda companies. Am. J. Prev. Med. 2016. [Google Scholar] [CrossRef] [PubMed]
- Renz, H.; Holt, P.G.; Inouye, M.; Logan, A.C.; Prescott, S.L.; Sly, P.D. An exposome perspective: Early-life events and immune development in a changing world. J. Allergy Clin. Immunol. 2017, 140, 24–40. [Google Scholar] [CrossRef] [PubMed]
- Allen, J.; Balfour, R.; Bell, R.; Marmot, M. Social determinants of mental health. Int. Rev. Psychiatry 2014, 26, 392–407. [Google Scholar] [CrossRef] [PubMed]
- Roberts, J; Donkin, A; Marmot, M. Opportunities for reducing socioeconomic inequalities in the mental health of children and young people—Reducing adversity and increasing resilience. J. Public Ment. Health 2016, 15, 4–17. [Google Scholar] [CrossRef]
- Pickett, K.E.; Wilkinson, R.G. Inequality: An underacknowledged source of mental illness and distress. Br. J. Psychiatry 2010, 197, 426–428. [Google Scholar] [CrossRef] [PubMed]
- Tiikkaja, S.; Sandin, S.; Hultman, C.M.; Modin, B.; Malki, N.; Sparen, P. Psychiatric disorder and work life: A longitudinal study of intra-generational social mobility. Int. J. Soc. Psychiatry 2016, 62, 156–166. [Google Scholar] [CrossRef] [PubMed]
- Fuller-Thomson, E.; Agbeyaka, S.; LaFond, D.M.; Bern-Klug, M. Flourishing after depression: Factors associated with achieving complete mental health among those with a history of depression. Psychiatry Res. 2016, 242, 111–120. [Google Scholar] [CrossRef] [PubMed]
- Russell, S.J.; Hughes, K.; Bellis, M.A. Impact of childhood experience and adult well-being on eating preferences and behaviours. BMJ Open 2016, 6. [Google Scholar] [CrossRef] [PubMed]
- Prescott, S.L.; Logan, A.C. Transforming life: A broad view of the developmental origins of health and disease concept from an ecological justice perspective. Int. J. Environ. Res. Public Health 2016, 13, E1075. [Google Scholar] [CrossRef] [PubMed]
- Logan, A.C. Dysbiotic drift: Mental health, environmental grey space, and microbiota. J. Physiol. Anthropol. 2015, 34, 23. [Google Scholar] [CrossRef] [PubMed]
- Fraga, S.; Marques-Vidal, P.; Vollenweider, P.; Waeber, G.; Guessous, I.; Paccaud, F.; Barros, H.; Stringhini, S. Association of socioeconomic status with inflammatory markers: A two cohort comparison. Prev. Med. 2015, 71, 12–19. [Google Scholar] [CrossRef] [PubMed]
- Stringhini, S.; Batty, G.D.; Bovet, P.; Shipley, M.J.; Marmot, M.G.; Kumari, M.; Tabak, A.G.; Kivimaki, M. Association of lifecourse socioeconomic status with chronic inflammation and type 2 diabetes risk: The Whitehall II prospective cohort study. PLoS Med. 2013, 10, e1001479. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Keita, A.D.; Judd, S.E.; Howard, V.J.; Carson, A.P.; Ard, J.D.; Fernandez, J.R. Associations of neighborhood area level deprivation with the metabolic syndrome and inflammation among middle- and older-age adults. BMC Public Health 2014, 14, 1319. [Google Scholar] [CrossRef] [PubMed]
- Nazmi, A.; Diez Roux, A.; Ranjit, N.; Seeman, T.E.; Jenny, N.S. Cross-sectional and longitudinal associations of neighborhood characteristics with inflammatory markers: Findings from the multi-ethnic study of atherosclerosis. Health Place 2010, 16, 1104–1112. [Google Scholar] [CrossRef] [PubMed]
- Brody, G.H.; Lei, M.K.; Chen, E.; Miller, G.E. Neighborhood poverty and allostatic load in African American youth. Pediatrics 2014, 134, E1362–E1368. [Google Scholar] [CrossRef] [PubMed]
- Gianaros, P.J.; Kuan, D.C.; Marsland, A.L.; Sheu, L.K.; Hackman, D.A.; Miller, K.G.; Manuck, S.B. Community socioeconomic disadvantage in midlife relates to cortical morphology via neuroendocrine and cardiometabolic pathways. Cereb. Cortex 2017, 27, 460–473. [Google Scholar] [CrossRef] [PubMed]
- Bird, C.E.; Seeman, T.; Escarce, J.J.; Basurto-Davila, R.; Finch, B.K.; Dubowitz, T.; Heron, M.; Hale, L.; Merkin, S.S.; Weden, M.; et al. Neighbourhood socioeconomic status and biological “wear and tear” in a nationally representative sample of U.S. adults. J. Epidemiol. Community Health 2010, 64, 860–865. [Google Scholar] [CrossRef] [PubMed]
- Schulz, A.J.; Mentz, G.; Lachance, L.; Zenk, S.N.; Johnson, J.; Stokes, C.; Mandell, R. Do observed or perceived characteristics of the neighborhood environment mediate associations between neighborhood poverty and cumulative biological risk? Health Place 2013, 24, 147–156. [Google Scholar] [CrossRef] [PubMed]
- Theall, K.P.; Drury, S.S.; Shirtcliff, E.A. Cumulative neighborhood risk of psychosocial stress and allostatic load in adolescents. Am. J. Epidemiol. 2012, 176, S164–S174. [Google Scholar] [CrossRef] [PubMed]
- Nicklett, E.J.; Szanton, S.; Sun, K.; Ferrucci, L.; Fried, L.P.; Guralnik, J.M.; Semba, R.D. Neighborhood socioeconomic status is associated with serum carotenoid concentrations in older, community-dwelling women. J. Nutr. 2011, 141, 284–289. [Google Scholar] [CrossRef] [PubMed]
- Stimpson, J.P.; Nash, A.C.; Ju, H.; Eschbach, K. Neighborhood deprivation is associated with lower levels of serum carotenoids among adults participating in the third national health and nutrition examination survey. J. Am. Diet Assoc. 2007, 107, 1895–1902. [Google Scholar] [CrossRef] [PubMed]
- Wrieden, W.L.; Hannah, M.K.; Bolton-Smith, C.; Tavendale, R.; Morrison, C.; Tunstall-Pedoe, H. Plasma vitamin C and food choice in the third Glasgow Monica population survey. J. Epidemiol. Community Health 2000, 54, 355–360. [Google Scholar] [CrossRef] [PubMed]
- Shohaimi, S.; Bingham, S.; Welch, A.; Luben, R.; Day, N.; Wareham, N.; Khaw, K.T. Occupational social class, educational level and area deprivation independently predict plasma ascorbic acid concentration: A cross-sectional population based study in the norfolk cohort of the european prospective investigation into cancer (epic-norfolk). Eur. J. Clin. Nutr. 2004, 58, 1432–1435. [Google Scholar] [CrossRef] [PubMed]
- Kristenson, M.; Kucinskiene, Z.; Bergdahl, B.; Orth-Gomer, K. Risk factors for coronary heart disease in different socioeconomic groups of Lithuania and Sweden—The LIVICORDIA study. Scand. J. Public Health 2001, 29, 140–150. [Google Scholar] [CrossRef] [PubMed]
- Ganji, V.; Kafai, M.R. Population determinants of serum lycopene concentrations in the United States: Data from the third national health and nutrition examination survey, 1988–1994. J. Nutr. 2005, 135, 567–572. [Google Scholar] [PubMed]
- Janicki-Deverts, D.; Cohen, S.; Matthews, K.A.; Gross, M.D.; Jacobs, D.R., Jr. Socioeconomic status, antioxidant micronutrients, and correlates of oxidative damage: The coronary artery risk development in young adults (Cardia) study. Psychosom. Med. 2009, 71, 541–548. [Google Scholar] [CrossRef] [PubMed]
- Miller, G.E.; Engen, P.A.; Gillevet, P.M.; Shaikh, M.; Sikaroodi, M.; Forsyth, C.B.; Mutlu, E.; Keshavarzian, A. Lower neighborhood socioeconomic status associated with reduced diversity of the colonic microbiota in healthy adults. PLoS ONE 2016, 11, e0148952. [Google Scholar] [CrossRef] [PubMed]
- Craigie, A.M.; Lake, A.A.; Kelly, S.A.; Adamson, A.J.; Mathers, J.C. Tracking of obesity-related behaviours from childhood to adulthood: A systematic review. Maturitas 2011, 70, 266–284. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Bivens, G.J. Poverty? Malnutrition? Even hunger? The white house takes a look. J. Consum. Aff. 1970, 4, 59–64. [Google Scholar] [CrossRef]
- U.S. Government Printing Office. Task force action statement. In Proceedings of the White House Conference on Food Nutrition and Health, Washington, DC, USA, 2–4 December 1969; U.S. Government Printing Office: Washington, DC, USA, 1969; pp. 302–305. [Google Scholar]
- Rodriguez, L.A.; Madsen, K.A.; Cotterman, C.; Lustig, R.H. Added sugar intake and metabolic syndrome in U.S. adolescents: Cross-sectional analysis of the national health and nutrition examination survey 2005–2012. Public Health Nutr. 2016, 19, 2424–2434. [Google Scholar] [CrossRef] [PubMed]
- Heid, M. Experts Say Lobbying Skewed the us Dietary Guidelines. Time. 8 January 2016. Available online: http://time.com/4130043/lobbying-politics-dietary-guidelines/ (accessed on 19 August 2017).
- Cheon, B.K.; Hong, Y.Y. Mere experience of low subjective socioeconomic status stimulates appetite and food intake. Proc. Natl. Acad. Sci. USA 2017, 114, 72–77. [Google Scholar] [CrossRef] [PubMed]
- 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, 162–171. [Google Scholar] [CrossRef] [PubMed]
- Cardel, M.I.; Johnson, S.L.; Beck, J.; Dhurandhar, E.; Keita, A.D.; Tomczik, A.C.; Pavela, G.; Huo, T.; Janicke, D.M.; Muller, K.; et al. The effects of experimentally manipulated social status on acute eating behavior: A randomized, crossover pilot study. Physiol. Behav. 2016, 162, 93–101. [Google Scholar] [CrossRef] [PubMed]
- Giurgescu, C.; Engeland, C.G.; Templin, T.N.; Zenk, S.N.; Koenig, M.D.; Garfield, L. Racial discrimination predicts greater systemic inflammation in pregnant African American women. Appl. Nurs. Res. 2016, 32, 98–103. [Google Scholar] [CrossRef] [PubMed]
- Beatty, D.L.; Matthews, K.A.; Bromberger, J.T.; Brown, C. Everyday discrimination prospectively predicts inflammation across 7-years in racially diverse midlife women: Study of women’s health across the nation. J. Soc. Issues 2014, 70, 298–314. [Google Scholar] [CrossRef] [PubMed]
- Lewis, T.T.; Aiello, A.E.; Leurgans, S.; Kelly, J.; Barnes, L.L. Self-reported experiences of everyday discrimination are associated with elevated c-reactive protein levels in older African-American adults. Brain Behav. Immun. 2010, 24, 438–443. [Google Scholar] [CrossRef] [PubMed]
- Reeves, A.; McKee, M.; Mackenbach, J.; Whitehead, M.; Stuckler, D. Introduction of a national minimum wage reduced depressive symptoms in low-wage workers: A quasi-natural experiment in the UK. Health Econ. 2016. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Burmaster, K.B.; Landefeld, J.C.; Rehkopf, D.H.; Lahiff, M.; Sokal-Gutierrez, K.; Adler-Milstein, S.; Fernald, L.C. Impact of a private sector living wage intervention on depressive symptoms among apparel workers in the Dominican Republic: A quasi-experimental study. BMJ Open 2015, 5, e007336. [Google Scholar] [PubMed]
- Lenhart, O. Do higher minimum wages benefit health? Evidence from the UK. J. Policy Anal. Manag. 2017, in press. [Google Scholar] [CrossRef]
- Lenhart, O. The impact of minimum wages on population health: Evidence from 24 OECD countries. Eur. J. Health Econ. 2016. [Google Scholar] [CrossRef] [PubMed]
- Ponce, N.; Shimkhada, R.; Raub, A.; Daoud, A.; Nandi, A.; Richter, L.; Heymann, J. The association of minimum wage change on child nutritional status in Lmics: A quasi-experimental multi-country study. Glob. Public Health 2017, 1–15. [Google Scholar] [CrossRef] [PubMed]
- Reeves, A.; Loopstra, R.; Stuckler, D. The growing disconnect between food prices and wages in Europe: Cross-national analysis of food deprivation and welfare regimes in twenty-one EU countries, 2004–2012. Public Health Nutr. 2017, 20, 1414–1422. [Google Scholar] [CrossRef] [PubMed]
- Dickman, S.L.; Himmelstein, D.U.; Woolhandler, S. Inequality and the health-care system in the USA. Lancet 2017, 389, 1431–1441. [Google Scholar] [CrossRef]
- Whalen, K.A.; Judd, S.; McCullough, M.L.; Flanders, W.D.; Hartman, T.J.; Bostick, R.M. Paleolithic and mediterranean diet pattern scores are inversely associated with all-cause and cause-specific mortality in adults. J. Nutr. 2017, 147, 612–620. [Google Scholar] [CrossRef] [PubMed]
- Albuquerque, G.; Moreira, P.I.; Rosario, R.; Araujo, A.; Teixeira, V.H.; Lopes, O.; Moreira, A.; Padrao, P. Adherence to the mediterranean diet in children: Is it associated with economic cost? Porto Biomed. J. 2017, 2, 115–119. [Google Scholar] [CrossRef]
- Genoni, A.; Lo, J.; Lyons-Wall, P.; Devine, A. Compliance, palatability and feasibility of paleolithic and Australian guide to healthy eating diets in healthy women: A 4-week dietary intervention. Nutrients 2016, 8, E481. [Google Scholar] [CrossRef] [PubMed]
- Bonaccio, M.; Di Castelnuovo, A.; Pounis, G.; Costanzo, S.; Persichillo, M.; Cerletti, C.; Donati, M.B.; de Gaetano, G.; Iacoviello, L.; Investigators, M.-S.P. High adherence to the mediterranean diet is associated with cardiovascular protection in higher but not in lower socioeconomic groups: Prospective findings from the Moli-Sani study. Int. J. Epidemiol. 2017, in press. [Google Scholar]
- Bhatia, R.; Gaydos, M.; Yu, K.; Weintraub, J. Protecting labor rights: Roles for public health. Public Health Rep. 2013, 128, 39–47. [Google Scholar] [CrossRef] [PubMed]
- Houghton, F. The prevention paradox mark II: An appeal for diversity in public health. J. Public Health 2016. [Google Scholar] [CrossRef]
- Korkery, M.; Protess, B. How the twinkie made the superrich even richer. New York Times, 11 December 2016; A1. [Google Scholar]
- Bromwich, J.E. The playboy mansion has a buyer—The twinkie king. New York Times, 8 June 2016; B2. [Google Scholar]
- Lewis, L.B.; Sloane, D.C.; Nascimento, L.M.; Diamant, A.L.; Guinyard, J.J.; Yancey, A.K.; Flynn, G.; REACH Coalition of the African Americans Building a Legacy of Health Project. African Americans’ access to healthy food options in south Los Angeles restaurants. Am. J. Public Health 2005, 95, 668–673. [Google Scholar] [CrossRef] [PubMed]
- Robles, B.; Kuo, T. Predictors of public support for nutrition-focused policy, systems and environmental change strategies in Los Angeles county, 2013. BMJ Open 2017, 7, e012654. [Google Scholar] [CrossRef] [PubMed]
- Severson, K. Los Angeles stages a fast food intervention. New York Times, 12 August 2008; F1. [Google Scholar]
- Bryan, C.J.; Yeager, D.S.; Hinojosa, C.P.; Chabot, A.; Bergen, H.; Kawamura, M.; Steubing, F. Harnessing adolescent values to motivate healthier eating. Proc. Natl. Acad. Sci. USA 2016, 113, 10830–10835. [Google Scholar] [CrossRef] [PubMed]
- Thompson, B.; Molina, Y.; Viswanath, K.; Warnecke, R.; Prelip, M.L. Strategies to empower communities to reduce health disparities. Health Aff. 2016, 35, 1424–1428. [Google Scholar] [CrossRef] [PubMed]
- Gardner, C.D.; Hauser, M.E. Food revolution. Am. J. Lifestyle Med. 2017. [Google Scholar] [CrossRef]
- Yancey, A.K.; Cole, B.L.; Brown, R.; Williams, J.D.; Hillier, A.; Kline, R.S.; Ashe, M.; Grier, S.A.; Backman, D.; McCarthy, W.J. A cross-sectional prevalence study of ethnically targeted and general audience outdoor obesity-related advertising. Milbank Q. 2009, 87, 155–184. [Google Scholar] [CrossRef] [PubMed]
- Prescott, S.L.; Logan, A.C. Down to earth: Planetary health and biophilosophy in the symbiocene epoch. Challenges 2017, 8, 19. [Google Scholar] [CrossRef]
- Green, E.L.; Hirschfeld Davis, J. Trump takes aim at school lunch guidelines and a girls’ education program. New York Times, 2 May 2017; A17. [Google Scholar]
- Burrows, T.; Goldman, S.; Olson, R.K.; Byrne, B.; Coventry, W.L. Associations between selected dietary behaviours and academic achievement: A study of Australian school aged children. Appetite 2017, 116, 372–380. [Google Scholar] [CrossRef] [PubMed]
- Faught, E.L.; Gleddie, D.; Storey, K.E.; Davison, C.M.; Veugelers, P.J. Healthy lifestyle behaviours are positively and independently associated with academic achievement: An analysis of self-reported data from a nationally representative sample of Canadian early adolescents. PLoS ONE 2017, 12, e0181938. [Google Scholar] [CrossRef] [PubMed]
- Quach, J.; Nguyen, C.; O’Connor, M.; Wake, M. The cumulative effect of health adversities on children’s later academic achievement. Acad. Pediatr. 2017, 17, 706–714. [Google Scholar] [CrossRef] [PubMed]
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Logan, A.C.; Prescott, S.L. Astrofood, Priorities and Pandemics: Reflections of an Ultra-Processed Breakfast Program and Contemporary Dysbiotic Drift. Challenges 2017, 8, 24. https://doi.org/10.3390/challe8020024
Logan AC, Prescott SL. Astrofood, Priorities and Pandemics: Reflections of an Ultra-Processed Breakfast Program and Contemporary Dysbiotic Drift. Challenges. 2017; 8(2):24. https://doi.org/10.3390/challe8020024
Chicago/Turabian StyleLogan, Alan C., and Susan L. Prescott. 2017. "Astrofood, Priorities and Pandemics: Reflections of an Ultra-Processed Breakfast Program and Contemporary Dysbiotic Drift" Challenges 8, no. 2: 24. https://doi.org/10.3390/challe8020024
APA StyleLogan, A. C., & Prescott, S. L. (2017). Astrofood, Priorities and Pandemics: Reflections of an Ultra-Processed Breakfast Program and Contemporary Dysbiotic Drift. Challenges, 8(2), 24. https://doi.org/10.3390/challe8020024