Effect of coronavirus disease 2019 pandemic on the lifestyle and glycemic control in patients with type 2 diabetes: a cross-section and retrospective cohort study
To investigate the acute effects of the coronavirus disease 2019 (COVID-19) on the lifestyle and metabolic parameters in patients with type 2 diabetes mellites. This cross-sectional and retrospective cohort study induced 203 patients who completed a questionnaire regarding stress levels and lifestyl...
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Published in | Endocrine Journal Vol. 68; no. 2; pp. 201 - 210 |
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Main Authors | , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
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Japan
The Japan Endocrine Society
01.01.2021
Japan Science and Technology Agency |
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Abstract | To investigate the acute effects of the coronavirus disease 2019 (COVID-19) on the lifestyle and metabolic parameters in patients with type 2 diabetes mellites. This cross-sectional and retrospective cohort study induced 203 patients who completed a questionnaire regarding stress levels and lifestyles. Data regarding stress levels, sleep time, exercise, and total diet, snack, and prepared food intake were obtained from the questionnaires. The changes in the body weight or HbA1c levels were determined by comparing the values at the time the questionnaire was administered to those noted 3 months ago. Increased levels of stress and decreased exercise levels were reported in approximately 40% and >50%. During the COVID-19 pandemic. There was a negative correlation between stress and exercise (r = –0.285, p < 0.001) and a positive correlation between stress and prepared food intake (r = 0.193, p = 0.009). Decreased exercise levels (r = –0.33, p < 0.001) and increased snack consumption (r = 0.24, p = 0.002) were associated with increased body weight. Furthermore, increased total diet intake (r = 0.16, p = 0.031) was associated with increased HbA1c levels. These relationships remained significant for patients aged <65 years and patients who did not engage in regular exercise. Many patients experienced stress and lifestyle changes due to the COVID-19 pandemic, and these changes were associated with increased body weight and HbA1c levels. |
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AbstractList | To investigate the acute effects of the coronavirus disease 2019 (COVID-19) on the lifestyle and metabolic parameters in patients with type 2 diabetes mellites. This cross-sectional and retrospective cohort study induced 203 patients who completed a questionnaire regarding stress levels and lifestyles. Data regarding stress levels, sleep time, exercise, and total diet, snack, and prepared food intake were obtained from the questionnaires. The changes in the body weight or HbA1c levels were determined by comparing the values at the time the questionnaire was administered to those noted 3 months ago. Increased levels of stress and decreased exercise levels were reported in approximately 40% and >50%. During the COVID-19 pandemic. There was a negative correlation between stress and exercise (r = -0.285, p < 0.001) and a positive correlation between stress and prepared food intake (r = 0.193, p = 0.009). Decreased exercise levels (r = -0.33, p < 0.001) and increased snack consumption (r = 0.24, p = 0.002) were associated with increased body weight. Furthermore, increased total diet intake (r = 0.16, p = 0.031) was associated with increased HbA1c levels. These relationships remained significant for patients aged <65 years and patients who did not engage in regular exercise. Many patients experienced stress and lifestyle changes due to the COVID-19 pandemic, and these changes were associated with increased body weight and HbA1c levels. To investigate the acute effects of the coronavirus disease 2019 (COVID-19) on the lifestyle and metabolic parameters in patients with type 2 diabetes mellites. This cross-sectional and retrospective cohort study induced 203 patients who completed a questionnaire regarding stress levels and lifestyles. Data regarding stress levels, sleep time, exercise, and total diet, snack, and prepared food intake were obtained from the questionnaires. The changes in the body weight or HbA1c levels were determined by comparing the values at the time the questionnaire was administered to those noted 3 months ago. Increased levels of stress and decreased exercise levels were reported in approximately 40% and >50%. During the COVID-19 pandemic. There was a negative correlation between stress and exercise (r = -0.285, p < 0.001) and a positive correlation between stress and prepared food intake (r = 0.193, p = 0.009). Decreased exercise levels (r = -0.33, p < 0.001) and increased snack consumption (r = 0.24, p = 0.002) were associated with increased body weight. Furthermore, increased total diet intake (r = 0.16, p = 0.031) was associated with increased HbA1c levels. These relationships remained significant for patients aged <65 years and patients who did not engage in regular exercise. Many patients experienced stress and lifestyle changes due to the COVID-19 pandemic, and these changes were associated with increased body weight and HbA1c levels.To investigate the acute effects of the coronavirus disease 2019 (COVID-19) on the lifestyle and metabolic parameters in patients with type 2 diabetes mellites. This cross-sectional and retrospective cohort study induced 203 patients who completed a questionnaire regarding stress levels and lifestyles. Data regarding stress levels, sleep time, exercise, and total diet, snack, and prepared food intake were obtained from the questionnaires. The changes in the body weight or HbA1c levels were determined by comparing the values at the time the questionnaire was administered to those noted 3 months ago. Increased levels of stress and decreased exercise levels were reported in approximately 40% and >50%. During the COVID-19 pandemic. There was a negative correlation between stress and exercise (r = -0.285, p < 0.001) and a positive correlation between stress and prepared food intake (r = 0.193, p = 0.009). Decreased exercise levels (r = -0.33, p < 0.001) and increased snack consumption (r = 0.24, p = 0.002) were associated with increased body weight. Furthermore, increased total diet intake (r = 0.16, p = 0.031) was associated with increased HbA1c levels. These relationships remained significant for patients aged <65 years and patients who did not engage in regular exercise. Many patients experienced stress and lifestyle changes due to the COVID-19 pandemic, and these changes were associated with increased body weight and HbA1c levels. |
Author | Nakanishi, Naoko Kawano, Rena Hashimoto, Yoshitaka Okamura, Takuro Hosomi, Yukako Senmaru, Takafumi Ushigome, Emi Munekawa, Chihiro Yamazaki, Masahiro Fukui, Michiaki Majima, Saori Osaka, Takafumi Hamaguchi, Masahide Takahashi, Fuyuko Nakajima, Hanako Okada, Hiroshi |
Author_xml | – sequence: 1 fullname: Munekawa, Chihiro organization: Department of Endocrinology and Metabolism, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto 602-8566, Japan – sequence: 2 fullname: Hosomi, Yukako organization: Department of Endocrinology and Metabolism, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto 602-8566, Japan – sequence: 3 fullname: Hashimoto, Yoshitaka organization: Department of Endocrinology and Metabolism, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto 602-8566, Japan – sequence: 4 fullname: Okamura, Takuro organization: Department of Endocrinology and Metabolism, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto 602-8566, Japan – sequence: 5 fullname: Takahashi, Fuyuko organization: Department of Endocrinology and Metabolism, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto 602-8566, Japan – sequence: 6 fullname: Kawano, Rena organization: Department of Endocrinology and Metabolism, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto 602-8566, Japan – sequence: 7 fullname: Nakajima, Hanako organization: Department of Endocrinology and Metabolism, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto 602-8566, Japan – sequence: 8 fullname: Osaka, Takafumi organization: Department of Endocrinology and Metabolism, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto 602-8566, Japan – sequence: 9 fullname: Okada, Hiroshi organization: Department of Endocrinology and Metabolism, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto 602-8566, Japan – sequence: 10 fullname: Majima, Saori organization: Department of Endocrinology and Metabolism, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto 602-8566, Japan – sequence: 11 fullname: Senmaru, Takafumi organization: Department of Endocrinology and Metabolism, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto 602-8566, Japan – sequence: 12 fullname: Nakanishi, Naoko organization: Department of Endocrinology and Metabolism, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto 602-8566, Japan – sequence: 13 fullname: Ushigome, Emi organization: Department of Endocrinology and Metabolism, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto 602-8566, Japan – sequence: 14 fullname: Hamaguchi, Masahide organization: Department of Endocrinology and Metabolism, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto 602-8566, Japan – sequence: 15 fullname: Yamazaki, Masahiro organization: Department of Endocrinology and Metabolism, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto 602-8566, Japan – sequence: 16 fullname: Fukui, Michiaki organization: Department of Endocrinology and Metabolism, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto 602-8566, Japan |
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Cites_doi | 10.1056/NEJMoa1211721 10.1136/bmjopen-2012-000830 10.2337/diaspect.18.2.121 10.1159/000486550 10.1136/bmjdrc-2016-000294 10.1001/archinte.158.3.274 10.3390/v11010059 10.1111/jdi.12891 10.1016/S0140-6736(20)30183-5 10.1007/s00592-009-0109-4 10.1056/NEJMoa2002032 10.1002/oby.20662 10.1007/s12250-015-3679-z 10.1001/jama.2020.4683 10.1111/j.1464-5491.2011.03228.x 10.2217/dmt.11.31 10.1111/1753-0407.12460 10.1007/s11892-019-1258-7 10.2337/dc12-s064 10.1016/j.cmet.2020.04.021 10.1016/S2213-2600(20)30079-5 10.1016/j.ajp.2020.102066 10.1016/j.diabres.2007.01.053 10.2337/diacare.27.9.2154 10.1056/NEJMoa030747 10.1016/S0168-8227(97)00030-2 10.1016/j.jand.2018.11.006 10.1055/s-0032-1314873 10.1111/j.1464-5491.2006.01861.x 10.1016/S0140-6736(20)30309-3 10.1038/s41579-018-0118-9 10.1111/jdi.12319 |
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References | 10 Inui A, Kitaoka H, Majima M, Takamiya S, Uemoto M, et al. (1998) Effect of the Kobe earthquake on stress and glycemic control in patients with diabetes mellitus. Arch Intern Med 158: 274–278. 29 Yang JK, Feng Y, Yuan MY, Yuan SY, Fu HJ, et al. (2006) Plasma glucose levels and diabetes are independent predictors for mortality and morbidity in patients with SARS. Diabet Med 23: 623–628. 1 Cui J, Li F, Shi ZL (2019) Origin and evolution of pathogenic coronaviruses. Nat Rev Microbiol 17: 181–192. 17 Mineoka Y, Ishii M, Tsuji A, Komatsu Y, Katayama Y, et al. (2017) Relationship between limited joint mobility of the hand and diabetic foot risk in patients with type 2 diabetes. J Diabetes 9: 628–633. 33 Antonio JP, Sarmento RA, de Almeida JC (2019) Diet quality and glycemic control in patients with type 2 diabetes. J Acad Nutr Diet 119: 652–658. 26 Ogawa S, Ishiki M, Nako K, Okamura M, Senda M, et al. (2012) Effects of the Great East Japan Earthquake and huge tsunami on glycaemic control and blood pressure in patients with diabetes mellitus. BMJ Open 2: e000830. 4 Zaki AM, van Boheemen S, Bestebroer TM, Osterhaus AD, Fouchier RA (2012) Isolation of a novel coronavirus from a man with pneumonia in Saudi Arabia. N Engl J Med 367: 1814–1820. 23 Kirizuka K, Nishizaki H, Kohriyama K, Nukata O, Arioka Y, et al. (1997) Influences of The Great Hanshin-Awaji Earthquake on glycemic control in diabetic patients. Diabetes Res Clin Pract 36: 193–196. 28 Yang JK, Lin SS, Ji XJ, Guo LM (2010) Binding of SARS coronavirus to its receptor damages islets and causes acute diabetes. Acta Diabetol 47: 193–199. 15 Haneda M, Utsunomiya K, Koya D, Babazono T, Moriya T, et al. (2015) A new Classification of Diabetic Nephropathy 2014: a report from Joint Committee on Diabetic Nephropathy. J Diabetes Investig 6: 242–246. 3 Drosten C, Günther S, Preiser W, van der Werf S, Brodt HR, et al. (2003) Identification of a novel coronavirus in patients with severe acute respiratory syndrome. N Engl J Med 348: 1967–1976. 16 Yasuda H, Sanada M, Kitada K, Terashima T, Kim H, et al. (2007) Rationale and usefulness of newly devised abbreviated diagnostic criteria and staging for diabetic polyneuropathy. Diabetes Res Clin Pract 77 Suppl 1: S178–S183. 8 Bao Y, Sun Y, Meng S, Shi J, Lu L (2020) 2019-nCoV epidemic: address mental health care to empower society. Lancet 395: e37–e38. 36 Yokoyama H, Oishi M, Takamura H, Yamasaki K, Shirabe SI, et al. (2016) Large-scale survey of rates of achieving targets for blood glucose, blood pressure, and lipids and prevalence of complications in type 2 diabetes (JDDM 40). BMJ Open Diabetes Res Care 4: e000294. 32 Hashimoto Y, Tanaka M, Miki A, Kobayashi Y, Wada S, et al. (2018) Intake of carbohydrate to fiber ratio is a useful marker for metabolic syndrome in patients with type 2 diabetes: a cross-sectional study. Ann Nutr Metab 72: 329–335. 5 Huang C, Wang Y, Li X, Ren L, Zhao J, et al. (2020) Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet 395: 497–506. 14 American Diabetes Association (2012) Diagnosis and classification of diabetes mellitus. Diabetes Care 35 Suppl 1: S64–S71. 24 Fujihara K, Saito A, Heianza Y, Gibo H, Suzuki H, et al. (2012) Impact of psychological stress caused by the Great East Japan Earthquake on glycemic control in patients with diabetes. Exp Clin Endocrinol Diabetes 120: 560–563. 27 Ng J, Atkin SL, Rigby AS, Walton C, Kilpatrick ES (2011) The effect of extensive flooding in Hull on the glycaemic control of patients with diabetes. Diabet Med 28: 519–524. 2 Song Z, Xu Y, Bao L, Zhang L, Yu P, et al. (2019) From SARS to MERS, thrusting coronaviruses into the spotlight. Viruses 11: 59. 19 Lin EH, Katon W, Von Korff M, Rutter C, Simon GE, et al. (2004) Relationship of depression and diabetes self-care, medication adherence, and preventive care. Diabetes Care 27: 2154–2160. 7 COVID-19 Map - Johns Hopkins Coronavirus Resource Center. Available from: https://coronavirus.jhu.edu/map.html Last access 1/May/2020 11 Guan WJ, Ni ZY, Hu Y, Liang WH, Ou CQ, et al. (2020) Clinical characteristics of coronavirus disease 2019 in China. N Engl J Med 382: 1708–1720. 35 Look AHEAD Research Group (2014) Eight-year weight losses with an intensive lifestyle intervention: the look AHEAD study. Obesity (Silver Spring) 22: 5–13. 22 Allweiss P (2019) Diabetes and disasters: recent studies and resources for preparedness. Curr Diab Rep 19: 131. 30 Banik GR, Alqahtani AS, Booy R, Rashid H (2016) Risk factors for severity and mortality in patients with MERS-CoV: analysis of publicly available data from Saudi Arabia. Virol Sin 31: 81–84. 9 Rajkumar RP (2020) COVID-19 and mental health: a review of the existing literature. Asian J Psychiatr 52: 102066. 21 Allweiss P, Albright A (2011) Diabetes, disasters and decisions. Diabetes Management 1: 369–377. 25 Kondo T, Miyakawa N, Motoshima H, Hanatani S, Ishii N, et al. (2019) Impacts of the 2016 Kumamoto Earthquake on glycemic control in patients with diabetes. J Diabetes Investig 10: 521–530. 12 Onder G, Rezza G, Brusaferro S (2020) Case-fatality rate and characteristics of patients dying in relation to COVID-19 in Italy. JAMA 2020 in press. doi: 10.1001/jama.2020.4683 20 Lloyd C, Smith J, Weinger K (2005) Stress and diabetes: a review of the links. Diabetes Spectrum 18: 121–127. 18 Yau YH, Potenza MN (2013) Stress and eating behaviors. Minerva Endocrinol 38: 255–267. 31 Zhu L, She ZG, Cheng X, Qin JJ, Zhang XJ, et al. (2020) Association of blood glucose control and outcomes in patients with COVID-19 and pre-existing type 2 diabetes. Cell Metab 31: 1068–1077.e3. 34 Hall KD, Ayuketah A, Brychta R, Cai H, Cassimatis T, et al. (2019) Ultra-processed diets cause excess calorie intake and weight gain: an inpatient randomized controlled trial of ad libitum food intake. Cell Metab 30: 67‑77.e3. 13 Yang X, Yu Y, Xu J, Shu H, Xia J, et al. (2020) Clinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia in Wuhan, China: a single-centered, retrospective, observational study. Lancet Respir Med 8: 475–481. 6 World Health Organization. Rolling updates on coronavirus disease (COVID-19) 2020 [31/03/2020]. Available from: https://www.who.int/emergencies/diseases/novel-coronavirus-2019/events-as-they-happen. Last access 1/May/2020 22 EH Lin (19) 2004; 27 23 24 25 26 27 28 29 C Lloyd (20) 2005; 18 30 31 10 32 11 33 12 34 13 35 14 15 16 17 18 1 2 3 4 5 6 7 8 9 21 |
References_xml | – reference: 22 Allweiss P (2019) Diabetes and disasters: recent studies and resources for preparedness. Curr Diab Rep 19: 131. – reference: 2 Song Z, Xu Y, Bao L, Zhang L, Yu P, et al. (2019) From SARS to MERS, thrusting coronaviruses into the spotlight. Viruses 11: 59. – reference: 24 Fujihara K, Saito A, Heianza Y, Gibo H, Suzuki H, et al. (2012) Impact of psychological stress caused by the Great East Japan Earthquake on glycemic control in patients with diabetes. Exp Clin Endocrinol Diabetes 120: 560–563. – reference: 36 Yokoyama H, Oishi M, Takamura H, Yamasaki K, Shirabe SI, et al. (2016) Large-scale survey of rates of achieving targets for blood glucose, blood pressure, and lipids and prevalence of complications in type 2 diabetes (JDDM 40). BMJ Open Diabetes Res Care 4: e000294. – reference: 4 Zaki AM, van Boheemen S, Bestebroer TM, Osterhaus AD, Fouchier RA (2012) Isolation of a novel coronavirus from a man with pneumonia in Saudi Arabia. N Engl J Med 367: 1814–1820. – reference: 11 Guan WJ, Ni ZY, Hu Y, Liang WH, Ou CQ, et al. (2020) Clinical characteristics of coronavirus disease 2019 in China. N Engl J Med 382: 1708–1720. – reference: 18 Yau YH, Potenza MN (2013) Stress and eating behaviors. Minerva Endocrinol 38: 255–267. – reference: 12 Onder G, Rezza G, Brusaferro S (2020) Case-fatality rate and characteristics of patients dying in relation to COVID-19 in Italy. JAMA 2020 in press. doi: 10.1001/jama.2020.4683 – reference: 30 Banik GR, Alqahtani AS, Booy R, Rashid H (2016) Risk factors for severity and mortality in patients with MERS-CoV: analysis of publicly available data from Saudi Arabia. Virol Sin 31: 81–84. – reference: 5 Huang C, Wang Y, Li X, Ren L, Zhao J, et al. (2020) Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet 395: 497–506. – reference: 25 Kondo T, Miyakawa N, Motoshima H, Hanatani S, Ishii N, et al. (2019) Impacts of the 2016 Kumamoto Earthquake on glycemic control in patients with diabetes. J Diabetes Investig 10: 521–530. – reference: 27 Ng J, Atkin SL, Rigby AS, Walton C, Kilpatrick ES (2011) The effect of extensive flooding in Hull on the glycaemic control of patients with diabetes. Diabet Med 28: 519–524. – reference: 33 Antonio JP, Sarmento RA, de Almeida JC (2019) Diet quality and glycemic control in patients with type 2 diabetes. J Acad Nutr Diet 119: 652–658. – reference: 23 Kirizuka K, Nishizaki H, Kohriyama K, Nukata O, Arioka Y, et al. (1997) Influences of The Great Hanshin-Awaji Earthquake on glycemic control in diabetic patients. Diabetes Res Clin Pract 36: 193–196. – reference: 14 American Diabetes Association (2012) Diagnosis and classification of diabetes mellitus. Diabetes Care 35 Suppl 1: S64–S71. – reference: 1 Cui J, Li F, Shi ZL (2019) Origin and evolution of pathogenic coronaviruses. Nat Rev Microbiol 17: 181–192. – reference: 9 Rajkumar RP (2020) COVID-19 and mental health: a review of the existing literature. Asian J Psychiatr 52: 102066. – reference: 3 Drosten C, Günther S, Preiser W, van der Werf S, Brodt HR, et al. (2003) Identification of a novel coronavirus in patients with severe acute respiratory syndrome. N Engl J Med 348: 1967–1976. – reference: 29 Yang JK, Feng Y, Yuan MY, Yuan SY, Fu HJ, et al. (2006) Plasma glucose levels and diabetes are independent predictors for mortality and morbidity in patients with SARS. Diabet Med 23: 623–628. – reference: 34 Hall KD, Ayuketah A, Brychta R, Cai H, Cassimatis T, et al. (2019) Ultra-processed diets cause excess calorie intake and weight gain: an inpatient randomized controlled trial of ad libitum food intake. Cell Metab 30: 67‑77.e3. – reference: 8 Bao Y, Sun Y, Meng S, Shi J, Lu L (2020) 2019-nCoV epidemic: address mental health care to empower society. Lancet 395: e37–e38. – reference: 7 COVID-19 Map - Johns Hopkins Coronavirus Resource Center. Available from: https://coronavirus.jhu.edu/map.html Last access 1/May/2020 – reference: 6 World Health Organization. Rolling updates on coronavirus disease (COVID-19) 2020 [31/03/2020]. Available from: https://www.who.int/emergencies/diseases/novel-coronavirus-2019/events-as-they-happen. Last access 1/May/2020 – reference: 26 Ogawa S, Ishiki M, Nako K, Okamura M, Senda M, et al. (2012) Effects of the Great East Japan Earthquake and huge tsunami on glycaemic control and blood pressure in patients with diabetes mellitus. BMJ Open 2: e000830. – reference: 20 Lloyd C, Smith J, Weinger K (2005) Stress and diabetes: a review of the links. Diabetes Spectrum 18: 121–127. – reference: 28 Yang JK, Lin SS, Ji XJ, Guo LM (2010) Binding of SARS coronavirus to its receptor damages islets and causes acute diabetes. Acta Diabetol 47: 193–199. – reference: 31 Zhu L, She ZG, Cheng X, Qin JJ, Zhang XJ, et al. (2020) Association of blood glucose control and outcomes in patients with COVID-19 and pre-existing type 2 diabetes. Cell Metab 31: 1068–1077.e3. – reference: 13 Yang X, Yu Y, Xu J, Shu H, Xia J, et al. (2020) Clinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia in Wuhan, China: a single-centered, retrospective, observational study. Lancet Respir Med 8: 475–481. – reference: 16 Yasuda H, Sanada M, Kitada K, Terashima T, Kim H, et al. (2007) Rationale and usefulness of newly devised abbreviated diagnostic criteria and staging for diabetic polyneuropathy. Diabetes Res Clin Pract 77 Suppl 1: S178–S183. – reference: 19 Lin EH, Katon W, Von Korff M, Rutter C, Simon GE, et al. (2004) Relationship of depression and diabetes self-care, medication adherence, and preventive care. Diabetes Care 27: 2154–2160. – reference: 17 Mineoka Y, Ishii M, Tsuji A, Komatsu Y, Katayama Y, et al. (2017) Relationship between limited joint mobility of the hand and diabetic foot risk in patients with type 2 diabetes. J Diabetes 9: 628–633. – reference: 35 Look AHEAD Research Group (2014) Eight-year weight losses with an intensive lifestyle intervention: the look AHEAD study. Obesity (Silver Spring) 22: 5–13. – reference: 10 Inui A, Kitaoka H, Majima M, Takamiya S, Uemoto M, et al. (1998) Effect of the Kobe earthquake on stress and glycemic control in patients with diabetes mellitus. Arch Intern Med 158: 274–278. – reference: 15 Haneda M, Utsunomiya K, Koya D, Babazono T, Moriya T, et al. (2015) A new Classification of Diabetic Nephropathy 2014: a report from Joint Committee on Diabetic Nephropathy. J Diabetes Investig 6: 242–246. – reference: 21 Allweiss P, Albright A (2011) Diabetes, disasters and decisions. Diabetes Management 1: 369–377. – reference: 32 Hashimoto Y, Tanaka M, Miki A, Kobayashi Y, Wada S, et al. (2018) Intake of carbohydrate to fiber ratio is a useful marker for metabolic syndrome in patients with type 2 diabetes: a cross-sectional study. Ann Nutr Metab 72: 329–335. – ident: 4 doi: 10.1056/NEJMoa1211721 – ident: 18 – ident: 26 doi: 10.1136/bmjopen-2012-000830 – volume: 18 start-page: 121 issn: 1040-9165 year: 2005 ident: 20 publication-title: Diabetes Spectrum doi: 10.2337/diaspect.18.2.121 – ident: 32 doi: 10.1159/000486550 – ident: 35 doi: 10.1136/bmjdrc-2016-000294 – ident: 10 doi: 10.1001/archinte.158.3.274 – ident: 2 doi: 10.3390/v11010059 – ident: 25 doi: 10.1111/jdi.12891 – ident: 5 doi: 10.1016/S0140-6736(20)30183-5 – ident: 28 doi: 10.1007/s00592-009-0109-4 – ident: 11 doi: 10.1056/NEJMoa2002032 – ident: 34 doi: 10.1002/oby.20662 – ident: 30 doi: 10.1007/s12250-015-3679-z – ident: 12 doi: 10.1001/jama.2020.4683 – ident: 27 doi: 10.1111/j.1464-5491.2011.03228.x – ident: 21 doi: 10.2217/dmt.11.31 – ident: 17 doi: 10.1111/1753-0407.12460 – ident: 22 doi: 10.1007/s11892-019-1258-7 – ident: 7 – ident: 14 doi: 10.2337/dc12-s064 – ident: 31 doi: 10.1016/j.cmet.2020.04.021 – ident: 13 doi: 10.1016/S2213-2600(20)30079-5 – ident: 9 doi: 10.1016/j.ajp.2020.102066 – ident: 16 doi: 10.1016/j.diabres.2007.01.053 – volume: 27 start-page: 2154 issn: 0149-5992 year: 2004 ident: 19 publication-title: Diabetes Care doi: 10.2337/diacare.27.9.2154 – ident: 3 doi: 10.1056/NEJMoa030747 – ident: 23 doi: 10.1016/S0168-8227(97)00030-2 – ident: 33 doi: 10.1016/j.jand.2018.11.006 – ident: 24 doi: 10.1055/s-0032-1314873 – ident: 29 doi: 10.1111/j.1464-5491.2006.01861.x – ident: 8 doi: 10.1016/S0140-6736(20)30309-3 – ident: 1 doi: 10.1038/s41579-018-0118-9 – ident: 6 – ident: 15 doi: 10.1111/jdi.12319 |
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SubjectTerms | Acute effects Aged Blood Glucose - metabolism Body Weight Cohort analysis Coronaviridae Coronaviruses COVID-19 Cross-Sectional Studies Diabetes Diabetes mellitus (non-insulin dependent) Diabetes Mellitus, Type 2 - drug therapy Diabetes Mellitus, Type 2 - metabolism Diet Exercise Fast Foods Female Food intake Glycated Hemoglobin A - metabolism Glycemic Control Humans Hypoglycemic Agents - therapeutic use Life Style Lifestyles Male Middle Aged Pandemic Pandemics Questionnaires Retrospective Studies SARS-CoV-2 Sleep Snacks Stress Stress, Psychological Type 2 diabetes |
Title | Effect of coronavirus disease 2019 pandemic on the lifestyle and glycemic control in patients with type 2 diabetes: a cross-section and retrospective cohort study |
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