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Mandalika, Subhadra
- Association Between Glycemic Indices, hs-CRP and Anthropometrical Parameters of Patients With Type 2 Diabetes Mellitus
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Authors
Affiliations
1 College of Home Science, Nirmala Niketan, University of Mumbai, Mumbai, IN
2 Asian Heart Institute and Sir H N R F Hospital, Mumbai, IN
1 College of Home Science, Nirmala Niketan, University of Mumbai, Mumbai, IN
2 Asian Heart Institute and Sir H N R F Hospital, Mumbai, IN
Source
The Indian Journal of Nutrition and Dietetics, Vol 55, No 2 (2018), Pagination: 187-196Abstract
Risk of obesity, inflammatory conditions and poor glycemic control have been reported to be lower among vegetarian T2DM patients due to their lower intake of fat, high intake of dietary fiber and micronutrients. However, several factors influence dietary practices and thereby glycemic control among patients which demands in depth observation. A cross-sectional observational study to examine the association between body composition, glycemic control and hs-CRP of Type 2 Diabetes Mellitus (T2DM) patients was conducted on 160 uncontrolled T2DM patients including 81 (50.6%) vegetarians and 79 (49.4%) non-vegetarians with mean age of 49.8±7.2 years. They were assessed for body composition using anthropometry. Biochemical parameters [(Fasting Blood Sugar (FBS), Post Prandial Blood Sugar (PPBS), Glycosylated Hemoglobin (HbA1c) and high sensitive C Reactive Protein (hs-CRP)] were obtained from their case files. Data were analysed using SPSS software for Windows (Version 16.0, 2007, SPSS Inc, Chicago IL). Anthropometric indices (weight, BMI, WC, hip circumference, WHR, BMR, visceral fat) and hs-CRP levels were significantly higher in vegetarians than non-vegetarians (p<0.05). However, there was no significant difference in FBS, PPBS and HbA1C between the two groups (p>0.05). Vegetarian participants had higher hs-CRP (≥3.0 mg/dl) and poor glycemic control. A positive correlation of anthropometry indices with hs-CRP was also observed among the participants (p<0.05). Dietary practices of vegetarians might vary across the populations and communities and hence there is a strong need to strictly consider these differences in the development of dietary strategies for T2DM.Keywords
Type 2 Diabetes Mellitus, Anthropometry, Glycemic Marker, Hs-cRP, Vegetarian, Non Vegetarian.References
- Tuang, T., Asimi, S., Lou, D. and Li, D. Plasma phospholipid polyunsaturated fatty acids and homocysteine in Chinese type 2 diabetes patients. Asia Pac. J. Clin. Nutr., 2012, 21, 3, 394-399.
- Udupa, A., Nahar, P., Shah, S., Kshirsagar, M. and Ghongane, B. A comparative study of effects of omega-3 fatty acids, alpha lipoic acid and vitamin E in type 2 diabetes mellitus. Ann. Med.Health. Sci. Res., 2013, 3, 3, 442–446. http://doi.org/10.4103/2141-9248.117954
- Rudkowska, I. Fish oils for cardiovascular disease: Impact on diabetes. Maturitas, 2010, 67, 1, 25-8.
- Barre, D.E., Mizier-Barre, K.A., Griscti, O. and Hafez, K. High dose flaxseed oil supplementation may affect fasting blood serum glucose management in human type 2 diabetics. J. Oleo. Sci., 2008, 57, 5, 269-273.
- Malekshahi, A., Saedisomeolia, A., Djalali, M., Djazayery, A., Pooya, S. and Sojoudi, F. Efficacy of omega-3 fatty acid supplementation on serum levels of tumour necrosis factor-alpha, C-reactive protein and interleukin-2 in type 2 diabetes mellitus patients. Singapore. Med. J., 2012, 53, (9), 615-619.
- Li, D.J. Chemistry behind vegetarians. Agri. Fd. Chem., 2011, 59, 3, 777-784.
- Rizzo, N.S., Jaceldo-Siegl, K., Sabate, J. and Fraser, G.E. Nutrient profiles of vegetarian and non vegetarian dietary patterns. J.Acad. Nutr.Dietet., 2013, 113, 12, 1610–1619. http://doi.org/10.1016/j.jand.2013.06.349.
- Lele, R.D. Ancient Indian insights and modern discoveries in nutrition, exercise and weight control. J. A. PI., 2012. 60.
- WHO Expert Consultation Committee. Appropriate body mass index for Asian populations and its Implications for policy and intervention strategies. Lancet, 2004, 363, 157-163.
- Craig, W.J. Nutrition concerns and health effects of vegetarian diets. Nutr.Clin. Pract., 2010, 6, 613-620.
- Bairy, S., Kumar, A.M.V., Raju, M., Achanta, S., Naik, B., Tripathy, J.P. and Zachariah, R. Is adjunctive naturopathy associated with improved glycaemic control and a reduction in need for medications among type 2 Diabetes patients? A prospective cohort study from India. BMC.Comple.Alter. Med., 2016.16, 290. http://doi.org/10.1186/s12906-016-1264-0
- Agrawal, S., Millett, C.J., Dhillon, P.K., Subramanian, S. and Ebrahim, S. Type of vegetarian diet, obesity and diabetes in adult Indian population. Nutr. J., 2014, 13, 89. http://doi.org/10.1186/1475-2891-13-89
- Shridhar, K., Dhillon, P.K., Bowen, L., Kinra, S., Bharathi, A.V. and Prabhakaran, D. The association between a vegetarian diet and cardiovascular disease (CVD) risk factors in India: The Indian migration study. PLoS ONE, 2014, 9, 10. http://doi.org/10.1371/journal.pone.0110586
- Fallucca, F., Fontana, L., Fallucca, S. and Pianesi, M. Gut microbiota and Ma-Pi 2 macrobiotic diet in the treatment of type 2 diabetes. W.J. Diab., 2015, 6, 3, 403-411.
- Lee, Y.M., Kim, S.A., Lee, I.K., Kim, J.G., Park, K.G., Jeong, J.Y. and Lee, D.H. Effect of a brown rice based vegan diet and conventional diabetic diet on glycemic control of patients with type 2 diabetes: A 12-week randomized clinical trial. PLoS ONE, 2016, 11, 6. http://doi.org/10.1371/journal.pone.0155918.
- Elorinne, A.L., Alfthan, G., Erlund, I., Kivimaki, H., Paju, A., Salminen, I. and Laakso, J. Food and nutrient intake and nutritional status of Finnish vegans and non-vegetarians. PLoS ONE, 2016, 11, 2. http://doi.org. /10.1371. /journal.pone.0148235.
- Ellsworth, D.L., Costantino, N.S., Blackburn, H.L., Engler, R.J.M., Kashani, M. and Vernalis, M.N. Lifestyle modification interventions differing in intensity and dietary stringency improve insulin resistance through changes in lipoprotein profiles. Obesity Sci. Pract., 2016, 2, 3, 282–292. http://doi.org/10.1002/osp4.54.
- McDougall, J., Thomas, L.E., McDougall, C., Moloney, G., Saul, B., Finnell, J.S. and Petersen, K.M. Effects of 7 days on an ad libitum low-fat vegan diet, the McDougall program cohort. Nutr. J., 2014, 13, 99. http://doi.org/10.1186/1475-2891-13-99
- Azizi-Soleiman, F., Jazayeri, S., Eghtesadi, S., Rajab, A., Heidari, I., Vafa, M.R. and Gohari, M.R. Effects of pure eicosapentaenoic and docosahexaenoic acids on oxidative stress, inflammation and body fat mass in patients with type 2 diabetes. Int. J.P. Med., 2013, 4 (8), 922-928.
- Lee, T.C., Ivester, P., Hester, A.G., Sergeant, S., Case, L.D., Morgan, T. and Chilton, F.H. The impact of polyunsaturated fatty acid-based dietary supplements on disease biomarkers in a metabolic syndrome/diabetes population. Lip. Health Dis., 2014, 13, 196. http://doi.org/10.1186/1476-511X-13-196.
- Labonté, M.E., Couture, P., Tremblay, A.J., Hogue, J.C., Lemelin, V. and Lamarche, B.
- Eicosapentaenoic and docosahexaenoic acid supplementation and inflammatory gene expression in the duodenum of obese patients with type 2 diabetes. Nutr. J., 2013. 12, 98. http://doi.org/10.1186/1475-2891-12-98.
- Smaoui, M., Koubaa, N., Hammami, S., Abid, N., Feki, M., Chaaba. R., Attia, N., Abid, M. and Hammami, M. Association between dietary fat and antioxidant status of tunisian type 2 diabetic patients. Prostaglandins Leukot Essential Fatty Acids , 2006, 74 (5), 323-329.
- Lee, Y.J., Wang, M.Y., Lin, M.C. and Lin, P.T. Associations between vitamin B12 status and oxidative stress and inflammation in diabetic vegetarians and omnivores. Nutrients, 2016, 8(3), 118. http://doi.org/10.3390/nu8030118
- Chen, C.W., Lin, C.T., Lin, Y.L., Lin, T.K. and Lin, C.L. Taiwanese female vegetarians have lower lipoprotein-associated phospholipase A2 compared with omnivores. Yonsei. Med. J., 2011, 52 (1), 13–19. http://doi.org/10.3349/ymj.2011.52.1.13.
- Kalupahana, N.S., Claycombe, K.J. and Moustaid Moussa, N. Fatty acids alleviate adipose tissue inûammation and insulin resistance, mechanistic insight. Adv. Nutr., 2014, 2, 304-316.
- Premanath, M., Basavanagowdappa, H., Mahesh, M. and Suresh, M. Correlation of abdominal adiposity with components of metabolic syndrome, anthropometric parameters and Insulin resistance, in obese and non obese, diabetics and non diabetics: A cross sectional observational study. J.Endcrinol.Metab., 2014, 18 (5), 676-682.http://doi.org/10.4103/2230-8210.139231
- Jain, S., Mahadevaiah, M. and Shivanagappa, M.A. Comparative study of epicardial fat thickness and its association with abdominal visceral fat thickness in obese and non obese type 2 diabetes subjects. J. Cardio. Echograph., 2015, 25 (4), 103-107. http://doi.org/10.4103/2211-4122.172487
- Meshram, A., Agrawal, U., Dhok, A., Adole, P., Meshram, K. and Khare, K. HbA1c, hs-CRP and anthropometric parameters evaluation in the patients of diabetes mellitus of central rural India. Int. J. Med. Sci. Pub. Health., 2013, 2(2), 293-296.
- Rai, R., Dahiy1, J., Chugh, P., Sharma, R. and Chopra, C. A study on correlation of anthropometric measures and HbA1c. Int. J. Pharm. Med. Res., 2017, 5(2), 445-447.
- Nutritional Status and Cognitive Abilities of Adults (20-60 years) from the City of Mumbai
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Authors
Affiliations
1 Department of Foods, Nutrition and Dietetics, College of Home Science, University of Mumbai, Mumbai - 400 020, IN
1 Department of Foods, Nutrition and Dietetics, College of Home Science, University of Mumbai, Mumbai - 400 020, IN
Source
The Indian Journal of Nutrition and Dietetics, Vol 56, No 2 (2019), Pagination: 167-183Abstract
Early identification of cognitive failure and its association with nutritional status might aid in the planning of appropriate prevention strategies. The present study was planned to find out the association between the age, gender, body composition and dietary nutrient consumption of adult males and females residing in the city of Mumbai, with their cognitive ability. Four hundred apparently healthy adults (20-60 years) residing in the city of Mumbai were purposively selected for the survey. Cognitive ability of participants was assessed using Mini Mental State Examination (MMSE) tool. Anthropometric and body composition parameters were analysed using standard procedures. Information on the dietary nutrient intake was collected using 3 day dietary recall method. Data was statistically analysed using the IBM SPSS (Version 22) software and Microsoft excel 2007 for windows. MCI was found in 21.5% of the participants. High prevalence of general and abdominal obesity was also observed in the participants. Data on the dietary nutrient intake showed that young adults (20-40 years) with high dietary fat especially SFA and MUFA consumption were found to be at a lower risk of developing MCI. Their anthropometric parameters i.e. Body Mass Index positively correlated with cognitive scores (p<0.05) whereas in older adults (40-60 years), body fat showed negative association (p<0.05) where as height, muscle mass and bone mass showed positive association with their cognitive scores (p<0.01). Thus, results of the study suggested that early detection of cognitive impairment would facilitate prevention of further neurodegeneration. Hence, identifying and preventing risk factors of cognitive impairment such as obesity and encouraging consumption of neuroprotective foods would help in the prevention of cognitive impairment.Keywords
Cognition, MCI, MMSE, Anthropometry Measurements, Neuro-Degeneration, Obesity, MUFAReferences
- Fischer, K.W., Yan, Z. and Stewart, J. Adult cognitive development: Dynamics in the developmental web. Handbook of Developmental Psychology. 2003, 21, 491-516.
- Hughes, T.F. and Ganguli, M. Modifiable midlife risk factors for late-life cognitive impairment and dementia. Current Psyc. Rev., 2009, 1, 73-92.
- Cshertkow, H. Mild cognitive impairment, the Canadian alzheimer disease review, 2002, 15-20.
- Petersen, R.C., Doody, R., Kurz, A., Mohs, R.C., Morris, J.C., Rabins, P.V., Ritchie, K., Rossor, M., Thal, L. and Winblad, B. Current concepts in mild cognitive impairment. Archiv. Neurol., 2001, 58, 1985-1992.
- Ingole, S.R., Rajput, S.K. and Sharma, S.S. Cognition enhancers: current strategies and future perspectives. CRIPS., 2008, 9, 42-48.
- Burkhalter, T.M. and Hillman, C.H. A narrative review of physical activity, nutrition and obesity to cognition and scholastic performance across the human lifespan. Adv. Nutr., 2011, 2, 201-206.
- Cournot, M.C., Marquie, J.C., Ansiau, D., Martinaud, C., Fonds, H., Ferrieres, J. and Ruidavets, J.B. Relation between body mass index and cognitive function in healthy middle-aged men and women. Neurol., 2006, 67, 1208-1214.
- Sabia, S., Kivimaki, M., Shipley, M.J., Marmot, M.G. and Singh-Manoux, A. Body mass index over the adult life course and cognition in late midlife: the Whitehall II Cohort Study. The Am. J. Clini. Nutr., 2008, 89, 601-607.
- Faxén-Irving, G., Basun, H. and Cederholm, T. Nutritional and cognitive relationships and long-term mortality in patients with various dementia disorders. Age and Ageing, 2005, 34, 136-141.
- Ravaglia, G., Forti, P., Maioli, F., Bianchi, G., Martelli, M., Talerico, T., Servadei, L., Zoli, M. and Mariani, E. Plasma amino acid concentrations in patients with amnestic mild cognitive impairment or Alzheimer disease. The Am. J. Clin. Nutr., 2004, 80, 483-488.
- Gómez-Pinilla, F. Brain foods: the effects of nutrients on brain function. Nature Rev. Neurosci., 2008, 9, 568.
- Head, E. Oxidative damage and cognitive dysfunction: antioxidant treatments to promote healthy brain aging. Neurochem. Res., 2009, 34, 670-678.
- Laurin, D., Masaki, K.H., Foley, D.J., White, L.R. and Launer, L.J. Midlife dietary intake of antioxidants and risk of late-life incident dementia: the Honolulu-Asia aging study. Am. J. Epidemiol., 2004, 159, 959-967.
- Letenneur, L., Proust-Lima, C., Le Gouge, A., Dartigues, J.F. and Barberger-Gateau, P. Flavonoid intake and cognitive decline over a 10-year period. Am. J. Epidemiol., 2007, 165, 1364-1371.
- Muldoon, M.F., Ryan, C.M., Sheu, L., Yao, J.K., Conklin, S.M. and Manuck, S.B. Serum phospholipid docosahexaenonic acid is associated with cognitive functioning during middle adulthood. The J. Nutr., 2010, 140, 848-853.
- González-Gross, M., Marcos, A. and Pietrzik, K. Nutrition and cognitive impairment in the elderly. Br. J. Nutr., 2001, 86, 313-321.
- Vercambre, M.N., Boutron-Ruault, M.C., Ritchie, K., Clavel-Chapelon, F. and Berr, C. Long-term association of food and nutrient intakes with cognitive and functional decline: a 13-year follow-up study of elderly French women. Br. J. Nutr., 2009, 102, 419-427.
- Folstein, M.F., Folstein, S.E. and McHugh, P.R. “Mini-mental state”: a practical method for grading the cognitive state of patients for the clinician. J. Psych. Res., 1975, 12, 189198.
- Nutritive Value of Indian Foods (NVIF) By C. Gopalan, B.V. Rama Sastri and S.C. Balasubramanian, Revised and Updated (1989) by B.S. narasinga Rao, Y.G. Deosthala and K.C. Pant (Reprinted 2007, 2011).
- Indian Council of Medical Research. Expert Group. (1990). Nutrient Requirements and Recommended Dietary Allowances for Indians: A Report of the Expert Group of the Indian Council of Medical Research. Indian Council of Medical Research.
- Das, S.K., Bose, P., Biswas, A., Dutt, A., Banerjee, T.K., Hazra, A., Raut, D.K., Chaudhuri, A. and Roy, T. An epidemiologic study of mild cognitive impairment in Kolkata, India. Neurol., 2007, 68, 2019-2026.
- Albert, M.S. and Blacker, D. Mild cognitive impairment and dementia. Annu. Rev. Clin. Psychol.. 2006, 27, 79-88.
- Vas, C.J., Pinto, C., Panikker, D., Noronha, S., Deshpande, N., Kulkarni, L. and Sachdeva, S. Prevalence of dementia in an urban Indian population. Int. Psychoge., 2001, 13, 439-450.
- Raina, S., Razdan, S., Pandita, K.K. and Raina S. Prevalence of dementia among Kashmiri migrants. Ann. Ind. Aca. Neurol., 2008, 11, 106.
- West, N.A. and Haan, M.N. Body adiposity in late life and risk of dementia or cognitive impairment in a longitudinal community-based study. J. Gerontol. Ser. A: Biomed. Sci. Med. Sci., 2009, 64, 103-109.
- Miller, A.A. and Spencer, S.J. Obesity and neuro-inflammation: a pathway to cognitive impairment. Brain, Behavior, and Immunity. 2014, 42, 10-21.
- Debette, S., Beiser, A., Hoffmann, U., DeCarli, C., O’donnell, C.J., Massaro, J.M., Au, R., Himali, J.J., Wolf, P.A., Fox, C.S. and Seshadri, S. Visceral fat is associated with lower brain volume in healthy middle aged adults. Ann. Neurol., 2010, 68, 136-44.
- Isaac, V., Sim, S., Zheng, H., Zagorodnov, V., Tai, E. and Chee, M. Adverse associations between visceral adiposity, brain structure, and cognitive performance in healthy elderly. Frontiers. Aging Neurosci., 2011, 13, 12.
- Schwartz, D.H., Leonard, G., Perron, M., Richer, L., Syme, C., Veillette, S., Pausova, Z. and Paus, T. Visceral fat is associated with lower executive functioning in adolescents. Int. J. Obesity. 2013, 37, 1336.
- Mujica-Parodi, L.R., Renelique, R. and Taylor, M.K. Higher body fat percentage is associated with increased cortisol reactivity and impaired cognitive resilience in response to acute emotional stress. Int. J. Obesity. 2009, 33, 157.
- Tikhonoff, V., Casiglia, E., Guidotti, F., Giordano, N., Martini, B., Mazza, A., Spinella, P. and Palatini, P. Body fat and the cognitive pattern: A population based study. Obesity. 2015, 23, 1502-1510.
- Brownbill, R.A. and Ilich, J.Z. Cognitive function in relation with bone mass and nutrition: cross-sectional association in postmenopausal women. BMC Women’s Health. 2004, 4, 2.
- Roberts, R.O., Geda, Y.E., Knopman, D.S., Cha, R.H., Boeve, B.F., Ivnik, R.J., Pankratz, V.S., Tangalos, E.G. and Petersen, R.C. Metabolic syndrome, inflammation and nonamnestic mild cognitive impairment in older persons: A population-based study. Alzheimer disease and associated disorders. 2010, 24, 11.
- Singh, B., Parsaik, A.K., Mielke, M.M., Erwin, P.J., Knopman, D.S., Petersen, R.C. and Roberts, R.O. Association of mediterranean diet with mild cognitive impairment and Alzheimer’s disease: a systematic review and meta-analysis. J. Alzheimer’s Disease. 2014, 39, 271-282.
- O’Brien, J., Okereke, O., Devore, E., Rosner, B., Breteler, M. and Grodstein, F. Longterm intake of nuts in relation to cognitive function in older women. The J. Nutr. Health. Aging. 2014, 18, 496-502.
- Roberts, R.O., Roberts, L.A., Geda, Y.E., Cha, R.H., Pankratz, V.S., O’Connor, H.M., Knopman, D.S. and Petersen, R.C. Relative intake of macronutrients impacts risk of mild cognitive impairment or dementia. J. Alzheimer’s Disease. 2012, 32, 329-339.
- Hawkins, M.A., Keirns, N.G. and Helms, Z. Carbohydrates and cognitive function. Current Opinion in Clin. Nutr. Metabol. Care. 2018, 21, 302-307.
- Bourre, J.M. Effects of nutrients (in food) on the structure and function of the nervous system: update on dietary requirements for brain. Part 2: macronutrients. J. Nutr. Health. Aging. 2006, 10, 386.
- Le Coutre, J., Mattson, M.P., Dillin, A., Friedman, J. and Bistrian, B. Nutrition and the biology of human ageing: Cognitive decline/food intake and caloric restriction. The J. Nutr. Health. Aging. 2013, 17, 717-720.
- Fusco, S. and Pani, G. Brain response to calorie restriction. Cellular and Molecular Life Sci., 2013, 70, 3157-3170.
- de Gischolar_main, M.H., Phillips, S.J. and Eskes, G.A. Fatigue associated with stroke and other neurologic conditions: implications for stroke rehabilitation. Arch. Phys. Med. Rehabilitat., 2003, 84, 1714-1720.
- Solfrizzi, V., D’introno, A., Colacicco, A.M., Capurso, C., Del Parigi, A., Capurso, S., Gadaleta, A., Capurso, A. and Panza, F. Dietary fatty acids intake: possible role in cognitive decline and dementia. Experimen. Gerontol., 2005, 40, 257-270.
- Solfrizzi, V., Capurs, C., D’introno, A., Colacicco, A.M., Frisardi, V., Santamato, A., Ranieri, M., Fiore, R., Vendemiale, G., Seripa, D. and Pilotto, A. Dietary fatty acids, agerelated cognitive decline and mild cognitive impairment. The J. Nutr. Health. Aging, 2008, 12, 382.
- Impact of Covid-19 on Psychological Stress and its Association with Dietary Practices of Indian Youth (18-25 years)
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Authors
Affiliations
1 Department of Foods, Nutrition and Dietetics, College of Home Science, Nirmala Niketen, Mumbai - 400 020, Maharastra
2 Department of Foods, Nutrition and Dietetics, College of Home Science, Nirmala Niketen, Mumbai - 400 020, Maharastra, IN
1 Department of Foods, Nutrition and Dietetics, College of Home Science, Nirmala Niketen, Mumbai - 400 020, Maharastra
2 Department of Foods, Nutrition and Dietetics, College of Home Science, Nirmala Niketen, Mumbai - 400 020, Maharastra, IN
Source
The Indian Journal of Nutrition and Dietetics, Vol 59, No 4 (2022), Pagination: 492-505Abstract
Consequences of COVID-19 pandemic can have a detrimental impact on psychological health of youth. Eating in response to stress, emotional cues and boredom may lead to excess consumption of high fat and high sugar foods, adversely affecting physical as well as mental health. To assess the impact of COVID-19 lockdown on psychological health, dietary and lifestyle practices among youth. A total of 261 youth (18-25 years) residing in India were studied for psychological stress and dietary practices during the COVID-19 lockdown period. Participants were recruited in an online survey using snowball and convenience sampling techniques. An online questionnaire was designed to elicit information on socio-demographic details, physical activity, dietary habits and frequency of foods consumed before and during the pandemic. Covid-19 Peritraumatic Distress Index (CPDI) was used to assess stress. As per the CPDI scores of 261 participants enrolled, 13% were severely stressed while 32.95% had mild-moderate stress. Daily exercise during lockdown significantly predicted CPDI scores (p<0.05). Frequency of consuming fried foods, soft drinks, desserts and fast-food prior and during the lockdown was significantly associated with stress whereas frequency of consuming nuts was negatively associated (p<0.05). Frequent snacking and consumption of outside food was also associated with CPDI scores (p<0.01). COVID-19 has adversely impacted mental health and dietary habits thereby leading to severe distress and disease risk among youth. Stress management and adaptation of healthy diet and lifestyle should be recommended as a nonpharmacological approach towards holistic health among youth.Keywords
COVID-19, Dietary Habits, Psychological Stress, Mental Health, Physical ActivityReferences
- World Health Organization (WHO). Mental Health and psychosocial considerations during the COVID-19 outbreak. WHO Publication. 2020- [cited 2020 June 8]. Available from: https://www.who.int/publications/i/item/WHO-2019-nCoV-MentalHealth-2020.1
- International Labour Organization. Youth and Covid-19: Impacts on Jobs, Education, Rights and Mental well-being, Survey Report. 2020- [cited 2020 June 15]. Available from: https://www.ilo.org/wcmsp5/groups/public/---ed_emp/documents/publication/wcms_753026.pdf
- Torres, S.J. and Nowson, C.A. Relationship between stress, eating behavior and obesity. Nutr., 2007, 23, 887-894.
- Wang, G., Zhang, Y., Zhao, J., Zhang, J. and Jiang, F. Mitigate the effects of home confinement on children during the COVID-19 outbreak. The Lancet, 2020, 395, 945-947.
- Moynihan, A.B., Tilburg, W.A.P. van, Igou, E.R., Wisman, A., Donnelly, A.E. and Mulcaire, J.B. Eaten up by boredom: Consuming food to escape awareness of the bored self. Front. Psychol., 2015, 6, 369.
- Fuhrman, J. The hidden dangers of fast and processed Food. Am. J. Lifestyle Med., 2018, 12, 375-381.
- Fulkerson, J.A., Friend, S., Horning, M., Flattum, C., Draxten, M., Neumark-Sztainer, D. and Kubik, M.Y. Family home food environment and nutrition-related parent and child personal and behavioral outcomes of the healthy Home Offerings via the Mealtime Environment (HOME) Plus Program: A Randomized Controlled Trial. J. Aca. Nutr. Diet., 2018, 118, 240-251.
- World Medical Association. World Medical Association Declaration of Helsinki. Ethical principles for medical research involving human subjects. Bull. World Health Organization, 2001, 79, 373-374.
- World Health Organization. The Asia-Pacific perspective : Redefining obesity and its treatment, 2000.
- Qiu, J., Shen, B., Zhao, M., Wang, Z., Xie, B. and Xu, Y. A nationwide survey of psychological distress among Chinese people in the COVID-19 epidemic: Implications and policy recommendations. General Psych., 2020, 633, 100213.
- Chandu, V.C., Marella, Y., Panga, G.S., Pachava, S. and Vadapalli, V. Measuring the impact of COVID-19 on mental health: A scoping review of the existing scales. Ind. J. Psychol. Med., 2020, 42, 421-427.
- Jiménez, M.P., Rieker, J.A., Reales, J.M. and Ballesteros, S. COVID-19 Peritraumatic distress as a function of age and gender in a Spanish sample. Int. J. Environ. Res. Pub. Healt., 2021, 18, 5253.
- El-Abasiri, R.A., Marzo, R.R., Abdelaziz, H., Boraii, S. and Abdelaziz, D.H. Evaluating the psychological distress of the coronavirus disease 2019 pandemic in Egypt. Eur. J. Mol. Clin. Med., 2020, 7, 1-12.
- Ramasubramanian, V., Mohandoss, A.A., Rajendhiran, G., Pandian, P.R.S. and Ramasubramanian, C. Statewide survey of psychological distress among people of Tamil Nadu in the COVID-19 pandemic. Ind. J. Psychol. Med., 2020, 42, 368-373.
- Shrestha, D.B., Thapa, B.B., Katuwal, N., Shrestha, B., Pant, C., Basnet, B. and Rouniyar, R. Psychological distress in Nepalese residents during COVID-19 pandemic: A community level survey. BMC Psych., 2020, 20, 491.
- Krüger-Malpartida, H., Pedraz-Petrozzi, B., Arevalo-Flores, M., Samalvides-Cuba, F., Anculle-Arauco, V. and Dancuart-Mendoza, M. Effects on mental health after the COVID-19 lockdown period: Results from a population survey study in Lima, Peru. Clin. Med. Insights: Psych., 2020, 11, 117955732098042.
- Schneiderman, N., Ironson, G. and Siegel, S.D. Stress and health: Psychological, behavioral and biological determinants. Ann. Rev. Clin. Psychol., 2005, 1, 607-628.
- Stainback, K., Hearne, B.N. and Trieu, M.M. COVID-19 and the 24/7 news cycle: Does COVID-19 news exposure affect mental health? Socius: Sociolog. Res. Dyna. World, 2020, 6, 237802312096933.
- Herbert, C., Meixner, F., Wiebking, C. and Gilg, V. Regular physical activity, short-term exercise, mental health, and well-being among university students: The results of an online and a laboratory Study. Front. Psychol., 2020, 11, 509.
- Alsalhe, T.A., Aljaloud, S.O., Chalghaf, N., Guelmami, N., Alhazza, D.W., Azaiez, F. and Bragazzi, N.L. Moderation effect of physical activity on the relationship between fear of COVID-19 and general distress: A pilot case study in Arabic countries. Front. Psychol., 2020, 11, 1-11.
- Husain, W. and Ashkanani, F. Does COVID-19 change dietary habits and lifestyle behaviours in Kuwait: A community-based cross-sectional study. Environ. Heal. Preven. Med., 2020, 25, 61.
- Kissler, S.M., Tedijanto, C., Goldstein, E., Grad, Y.H. and Lipsitch, M. Projecting the transmission dynamics of SARS-CoV-2 through the postpandemic period. Sci., 2020, 368, 860-868.
- Füzéki, E., Groneberg, D.A. and Banzer, W. Physical activity during COVID-19 induced lockdown: Recommendations. J. Occupat. Med. Toxicol., 2020, 15, 25.
- Reed, J. and Ones, D.S. The effect of acute aerobic exercise on positive activated affect: A meta-analysis. Psychol. Sport. Exerc., 2006, 7, 477-514.
- Crush, E.A., Frith, E. and Loprinzi, P.D. Experimental effects of acute exercise duration and exercise recovery on mood state. J. Affec. Disord., 2018, 229, 282-287.
- Deschasaux-Tanguy, M., Druesne-Pecollo, N., Esseddik, Y., de Edelenyi, F.S., Allès, B., Andreeva, V.A. and Touvier, M. Diet and physical activity during the coronavirus disease 2019 (COVID-19) lockdown (March–May 2020): Results from the French NutriNet-Santé cohort study. The Am. J. Clin. Nutr., 2021, 113, 924-938.
- Bhutani, S. and Cooper, J.A. COVID-19- Related home confinement in adults: Weight gain risks and opportunities. Obes., 2020, 28, 1576-1577.
- Firth, J., Marx, W., Dash, S., Carney, R., Teasdale, S.B., Solmi, M. and Sarris, J. The effects of dietary improvement on symptoms of depression and anxiety: A meta-analysis of randomized controlled trials. Psychosom. Med., 2019, 81, 265-280.
- Carvalho, K., Ronca, D., Michels, N., Huybrechts, I., Cuenca-Garcia, M., Marcos, A. and Carvalho, L. Does the Mediterranean diet protect against stress-induced inflammatory activation in European adolescents? The HELENA Study. Nutr., 2018, 10, 1770.
- Ruiz-Roso, M.B., de Carvalho Padilha, P., Mantilla-Escalante, D.C., Ulloa, N., Brun, P., Acevedo-Correa, D. and Dávalos, A. Covid-19 Confinement and changes of adolescent’s dietary trends in Italy, Spain, Chile, Colombia and Brazil. Nutrients, 2020, 12, 1807.
- Mills, S., Brown, H., Wrieden, W., White, M. and Adams, J. Frequency of eating home cooked meals and potential benefits for diet and health: Cross-sectional analysis of a population-based cohort study. Int. J. Behav. Nutr. Phys. Activ., 2017, 14, 109.
- Liu, J., Rehm, C.D., Micha, R. and Mozaffarian, D. Quality of meals consumed by US adults at full-service and fast-food restaurants, 2003-2016: Persistent low quality and widening disparities. J. Nutr., 2020, 150, 873-883.