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Published in: Diabetology & Metabolic Syndrome 1/2017

Open Access 01-12-2017 | Research

Depression and alexithymia on weight perception in patients with metabolic syndrome and type 2 diabetes

Authors: Maria Cristina de Oliveira Regina, Marcos Antonio Tambascia

Published in: Diabetology & Metabolic Syndrome | Issue 1/2017

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Abstract

Background

Obesity’s increasing follows decreased perception of weight status in obese persons, mainly female, undergoing age-related changes.

Objective

To study weight perception and psychological alterations associated to MS and T2DM.

Methods

200 patients selected from Metabolic Syndrome Outpatient Clinic of University of Campinas. Instruments: Beck Depression and Beck Anxiety Inventories’, Toronto Alexithymia Scale-26s, questionnaire and data from reports. Approved by Unicamp Research Ethic Committee.

Results

Patients aged 18–40 years perceived their weight higher than actual (A < D) (p = 0.0272), amongst untreated hypertensive (p = 0.037). ≥41 years old patient’s subdivided into A = D and A > D. A = D had 4.3 more chances to be alexithymic than A < D. 35% of A < D accepted their physical appearance, contrarily A = D (66%) and A > D (69%) (p = 0.0018). 50% of A < D felt offended by social aggression due to their weight; A = D (20%) and A > D (34%) (p = 0.007). 3.6 more chances of A > D than A < D using anti-hypertensive drugs (p = 0.021) (≥41 years old) and 3.5 more chances to perceive A = D (41–60 years old) (p = 0.023). A = D presented 3.8 more chances of depression than A < D and 4.3 more chances of alexithymia than A < D (62% of 41–60 year-old patients with higher cholesterol, mainly LDL and hyper-triglycerides). A = D with alexithymia, partially linked with higher cholesterol, suggests neuroinflammation due to hypertriglycerides. Females, who declared had been anteriorly made diet as treatment to lose weight were exactly those who perceived their weight A > D (45%, p = 0.0091).

Conclusions

Age as a period of development, in which cultural influences occurs, was a factor in weight misperception. A < D and A > D were distinct in age, history of obesity and BMI.
Literature
1.
go back to reference Lemon SC, Rosal MC, Zapka J, Bor A, Andersen V. Contributions of weight perceptions to weight loss attempts: differences by body mass index and gender. Body Image. 2009;6(2):90–6.CrossRefPubMedPubMedCentral Lemon SC, Rosal MC, Zapka J, Bor A, Andersen V. Contributions of weight perceptions to weight loss attempts: differences by body mass index and gender. Body Image. 2009;6(2):90–6.CrossRefPubMedPubMedCentral
2.
go back to reference Jackson K, Janssen I, Appelhans B, Kazlauskaite R, Karavolos K, Dugan S, Avery E, Shipp-Johnson K, Powell L, Kravitz H. Body image satisfaction and depression in midlife women: the Study of Women’s Health Across the Nation (SWAN). Arch Women’s Mental Health. 2014;17(3):177–87.CrossRef Jackson K, Janssen I, Appelhans B, Kazlauskaite R, Karavolos K, Dugan S, Avery E, Shipp-Johnson K, Powell L, Kravitz H. Body image satisfaction and depression in midlife women: the Study of Women’s Health Across the Nation (SWAN). Arch Women’s Mental Health. 2014;17(3):177–87.CrossRef
3.
go back to reference Squiers L, Renaud J, McCromack L, Tzeng J, Bann C, Willinas P. How accurate are American’s perception of their own weight? J Health Commun. 2014;19(7):795–812.CrossRefPubMed Squiers L, Renaud J, McCromack L, Tzeng J, Bann C, Willinas P. How accurate are American’s perception of their own weight? J Health Commun. 2014;19(7):795–812.CrossRefPubMed
4.
go back to reference Al Sabbah H, Vereecken CA, Elgar FJ, Nansel T, Aasvee K, Abdeen Z, Ojala K, Ahluwalia N, Maes L. Body weight dissatisfaction and communication with parents among adolescents in 24 countries: international cross-sectional survey. BMC Public Health. 2009;9:52–62.CrossRefPubMedPubMedCentral Al Sabbah H, Vereecken CA, Elgar FJ, Nansel T, Aasvee K, Abdeen Z, Ojala K, Ahluwalia N, Maes L. Body weight dissatisfaction and communication with parents among adolescents in 24 countries: international cross-sectional survey. BMC Public Health. 2009;9:52–62.CrossRefPubMedPubMedCentral
6.
go back to reference Roberts C, Havener A, Barnard J. Metabolic syndrome and insulin resistance: underlying causes and modification by exercise training. Compr Physiol. 2013;3(1):1–58.PubMedPubMedCentral Roberts C, Havener A, Barnard J. Metabolic syndrome and insulin resistance: underlying causes and modification by exercise training. Compr Physiol. 2013;3(1):1–58.PubMedPubMedCentral
7.
go back to reference Gomes M, Giannella-Neto D, Faria M, Tambascia MA, Fonseca RN, Rea R, Macedo G, Modesto-Filho J, Schmid H, Bitterncourt A, Cavalcanti S, Rassi N, Pedrosa H, Adib S. Estimating cardiovascular risk in patients with type 2 diabetes: a National Multicenter Study in Brazil. Diabetol Metab Syndr. 2009;1(1):22–6.CrossRefPubMedPubMedCentral Gomes M, Giannella-Neto D, Faria M, Tambascia MA, Fonseca RN, Rea R, Macedo G, Modesto-Filho J, Schmid H, Bitterncourt A, Cavalcanti S, Rassi N, Pedrosa H, Adib S. Estimating cardiovascular risk in patients with type 2 diabetes: a National Multicenter Study in Brazil. Diabetol Metab Syndr. 2009;1(1):22–6.CrossRefPubMedPubMedCentral
8.
9.
go back to reference Keramati AR, Fathzadeh M, Go GW, Singh R, Choi M, Faramarzi S, Mane S, Kasaei M, Sarajzadeh-Fard K, Hwa J, Kidd KK, Bigi MB, Malezadeh R, Hosseinian A, Babaei M, Lifton R, Mani A. A form of the metabolic syndrome associated with mutations in DYRK1B. N Engl J Med. 2014;370(20):1909–19.CrossRefPubMedPubMedCentral Keramati AR, Fathzadeh M, Go GW, Singh R, Choi M, Faramarzi S, Mane S, Kasaei M, Sarajzadeh-Fard K, Hwa J, Kidd KK, Bigi MB, Malezadeh R, Hosseinian A, Babaei M, Lifton R, Mani A. A form of the metabolic syndrome associated with mutations in DYRK1B. N Engl J Med. 2014;370(20):1909–19.CrossRefPubMedPubMedCentral
10.
go back to reference Lyra R, Cavalcanti N. Diabetes mellitus. 2nd ed; 2009. p. 117–24. Lyra R, Cavalcanti N. Diabetes mellitus. 2nd ed; 2009. p. 117–24.
11.
go back to reference Techernof A, Després JP. Pathophysiology of human visceral obesity: an update. Pshysiol Rev. 2013;93(1):359–404.CrossRef Techernof A, Després JP. Pathophysiology of human visceral obesity: an update. Pshysiol Rev. 2013;93(1):359–404.CrossRef
12.
go back to reference Gregg EW, Li Y, Wang J, Burrows NR, Ali MK, Rolka D, Williams DE, Geiss L. Changes in diabetes-related complications in United States, 1990–2010. N Engl J Med. 2014;370(16):1514–23.CrossRefPubMed Gregg EW, Li Y, Wang J, Burrows NR, Ali MK, Rolka D, Williams DE, Geiss L. Changes in diabetes-related complications in United States, 1990–2010. N Engl J Med. 2014;370(16):1514–23.CrossRefPubMed
13.
go back to reference Barzilay JI, Stein PK. Association of metabolic syndrome with age-related, nonatherosclerotic chronic medical conditions. Metab Syndr Relat Disord. 2011;9(5):327–35.CrossRefPubMed Barzilay JI, Stein PK. Association of metabolic syndrome with age-related, nonatherosclerotic chronic medical conditions. Metab Syndr Relat Disord. 2011;9(5):327–35.CrossRefPubMed
14.
go back to reference Mattila A. Alexithymia in finnish general population, academic dissertation. Tampere: Tampere University, Tampere School of Public Health; 2009. Mattila A. Alexithymia in finnish general population, academic dissertation. Tampere: Tampere University, Tampere School of Public Health; 2009.
15.
go back to reference Moriguchi Y, Komaki G. Neroimaging studies of alexithymia: physical, affective and social perspectives. Bio-psychosoc Med. 2013;7:8. Moriguchi Y, Komaki G. Neroimaging studies of alexithymia: physical, affective and social perspectives. Bio-psychosoc Med. 2013;7:8.
16.
go back to reference Kano M, Fukudo S. The Alexithymic brain: the neural pathways linking alexithymia to physical disorders. Biopsychosoc Med. 2013;7(1):2–9.CrossRef Kano M, Fukudo S. The Alexithymic brain: the neural pathways linking alexithymia to physical disorders. Biopsychosoc Med. 2013;7(1):2–9.CrossRef
17.
go back to reference Karlsson H, Näätänen P, Stenman H. Cortical Activation in Alexithymia as response to emotional stimuli. Br J Psychiatry. 2008;192:32–383.CrossRefPubMed Karlsson H, Näätänen P, Stenman H. Cortical Activation in Alexithymia as response to emotional stimuli. Br J Psychiatry. 2008;192:32–383.CrossRefPubMed
18.
go back to reference Marchesi C, Brusamonti E, Maggini C. Are Alexithymia, depression and anxiety distinct constructs in affective disorders? J Psychosom Res. 2000;49(1):43–9.CrossRefPubMed Marchesi C, Brusamonti E, Maggini C. Are Alexithymia, depression and anxiety distinct constructs in affective disorders? J Psychosom Res. 2000;49(1):43–9.CrossRefPubMed
19.
go back to reference Honkalampi K, Hintikka J, Tanskanen A, Lehtonen J, Viinamäki H. Depression is strongly associated with Alexithymia in the general population. J Psychosom Res. 2000;48:99–104.CrossRefPubMed Honkalampi K, Hintikka J, Tanskanen A, Lehtonen J, Viinamäki H. Depression is strongly associated with Alexithymia in the general population. J Psychosom Res. 2000;48:99–104.CrossRefPubMed
20.
go back to reference Honkalampi K, Hintikka J, Saarinen P, Lehtonen J. Is Alexithymia a permanent feature in depressed patients? Results from a 6-month follow-up study. Psychother Psychosom. 2000;69:303–8.CrossRefPubMed Honkalampi K, Hintikka J, Saarinen P, Lehtonen J. Is Alexithymia a permanent feature in depressed patients? Results from a 6-month follow-up study. Psychother Psychosom. 2000;69:303–8.CrossRefPubMed
21.
go back to reference Honkalampi K, Hintikka J, Laukkanen E, Lehtonen J, Viinamäki H. Alexithymia and depression. A prospective study of patients with major depressive disorder. Psychosomatics. 2001;43(3):229–34.CrossRef Honkalampi K, Hintikka J, Laukkanen E, Lehtonen J, Viinamäki H. Alexithymia and depression. A prospective study of patients with major depressive disorder. Psychosomatics. 2001;43(3):229–34.CrossRef
22.
go back to reference Honkalampi K, Koivumaa-Honkanen H, Hintikka J, Antikainen R, Haatinen K, Tanskanen A, Viinamäki H. Do stressful life-events or sociodemographic variables associate with depression and Alexithymia among a general population? A 3-year follow-up study comprehensive psychiatry. Am J Psychiatr. 2002;159:961–7.CrossRef Honkalampi K, Koivumaa-Honkanen H, Hintikka J, Antikainen R, Haatinen K, Tanskanen A, Viinamäki H. Do stressful life-events or sociodemographic variables associate with depression and Alexithymia among a general population? A 3-year follow-up study comprehensive psychiatry. Am J Psychiatr. 2002;159:961–7.CrossRef
23.
go back to reference Kano M, Fukudo S, Gyoba J, Kamachi M, Tagawa M, Mochizuki H, Itoh M, Hongo M, Yanai K. Specific brain processing of facial expressions in people with Alexithymia: an H2 150-Pet Study. Brain. 2003;126(6):1474–84.CrossRefPubMed Kano M, Fukudo S, Gyoba J, Kamachi M, Tagawa M, Mochizuki H, Itoh M, Hongo M, Yanai K. Specific brain processing of facial expressions in people with Alexithymia: an H2 150-Pet Study. Brain. 2003;126(6):1474–84.CrossRefPubMed
24.
go back to reference Meltzer M, Kristy N. Memory for emotionally provocative words in Alexithymia: a role for stimulus relevance. Conscious Cogn. 2010;19(4):1062.CrossRefPubMed Meltzer M, Kristy N. Memory for emotionally provocative words in Alexithymia: a role for stimulus relevance. Conscious Cogn. 2010;19(4):1062.CrossRefPubMed
25.
go back to reference Moriguchi Y, Ohnisi T, Lane RD, Maeda M, Mori T, Nemoto K, Matsuda H, Komaki G. Impaired self-awareness and theory of mind: an fMRI study of mentalizing in Alexithymia. Neuroimage. 2006;32(3):1472–82.CrossRefPubMed Moriguchi Y, Ohnisi T, Lane RD, Maeda M, Mori T, Nemoto K, Matsuda H, Komaki G. Impaired self-awareness and theory of mind: an fMRI study of mentalizing in Alexithymia. Neuroimage. 2006;32(3):1472–82.CrossRefPubMed
26.
go back to reference Lumley MA, Neely LC, Burger AJ. The assessment of Alexithymia in medical settings: implications for understanding and treating health problems. J Pers Assess. 2007;89(3):230–46.CrossRefPubMedPubMedCentral Lumley MA, Neely LC, Burger AJ. The assessment of Alexithymia in medical settings: implications for understanding and treating health problems. J Pers Assess. 2007;89(3):230–46.CrossRefPubMedPubMedCentral
27.
go back to reference Liemburg EJ, Stwart M, Bruggermn R, Korte Kaas R, Curcic’-Blake B, Aleman A. Altered resting state connectivity of the default mode network in Alexithymia. Soc Cogn Affect Neurosci. 2012;7(6):660–6.CrossRefPubMedPubMedCentral Liemburg EJ, Stwart M, Bruggermn R, Korte Kaas R, Curcic’-Blake B, Aleman A. Altered resting state connectivity of the default mode network in Alexithymia. Soc Cogn Affect Neurosci. 2012;7(6):660–6.CrossRefPubMedPubMedCentral
28.
go back to reference Pollatos O, Gramann K. Eletrophysiological evidence of early processing deficits in Alexithyma. Biol Psychol. 2011;87(1):113–21.CrossRefPubMed Pollatos O, Gramann K. Eletrophysiological evidence of early processing deficits in Alexithyma. Biol Psychol. 2011;87(1):113–21.CrossRefPubMed
29.
go back to reference Moriguchi Y, Decet J, Maeda M, Mori T, Matsuda H, Komaki G. Empathy and judging other’s pain: an fMRI study of Alexithymia. Cereb Cortex. 2007;17(9):2223–34.CrossRefPubMed Moriguchi Y, Decet J, Maeda M, Mori T, Matsuda H, Komaki G. Empathy and judging other’s pain: an fMRI study of Alexithymia. Cereb Cortex. 2007;17(9):2223–34.CrossRefPubMed
30.
go back to reference Berthoz S, Artiges E, Moortele PF, Poline JB, Rouquette S, Consoli S, Martinot JL. Effect of Impaired recognition and expression of emotions on frontocingulate cortices: an fMRI study of men with Alexithymia. Am J Psychiatr. 2002;159:961–7.CrossRefPubMed Berthoz S, Artiges E, Moortele PF, Poline JB, Rouquette S, Consoli S, Martinot JL. Effect of Impaired recognition and expression of emotions on frontocingulate cortices: an fMRI study of men with Alexithymia. Am J Psychiatr. 2002;159:961–7.CrossRefPubMed
31.
go back to reference Bremmer MA, Beekman ATF, Deeg DJH, Pennix BWJH, Dik MG, Hack CE, Hoogendijik WJG. Inflammatory markers in late-life depression: results from a population-based study. J Affect Disord. 2007. Bremmer MA, Beekman ATF, Deeg DJH, Pennix BWJH, Dik MG, Hack CE, Hoogendijik WJG. Inflammatory markers in late-life depression: results from a population-based study. J Affect Disord. 2007.
32.
go back to reference Soczynska JK, Kennedy SH, Woldeyohannes HO, Liauw SS, Alsuwaidan M, Yim CY, McIntrye RS. Mood disorders and obesity: understanding inflammation as a pathophysiological nexus. Neuromol Med. 2011;13(2):93.CrossRef Soczynska JK, Kennedy SH, Woldeyohannes HO, Liauw SS, Alsuwaidan M, Yim CY, McIntrye RS. Mood disorders and obesity: understanding inflammation as a pathophysiological nexus. Neuromol Med. 2011;13(2):93.CrossRef
34.
go back to reference Dantzer R, O’Connor JC, Lawson M, Kelley KW. Inflammation-associated depression: from serotonin to kynurenine. Psychoneuroendocrinology. 2011;36(3):426–36.CrossRefPubMed Dantzer R, O’Connor JC, Lawson M, Kelley KW. Inflammation-associated depression: from serotonin to kynurenine. Psychoneuroendocrinology. 2011;36(3):426–36.CrossRefPubMed
35.
go back to reference Tabák A, Akbraly TN, Batty GD, Kivimaki M. Depression and type 2 diabetes: a causal association? Lancet Diabetes Endocrinol. 2014;2(3):236–45.CrossRefPubMed Tabák A, Akbraly TN, Batty GD, Kivimaki M. Depression and type 2 diabetes: a causal association? Lancet Diabetes Endocrinol. 2014;2(3):236–45.CrossRefPubMed
36.
go back to reference Tuligenga RH, Dugravot A, Tabák AG, Elbaz A, Brunner EJ, Kivimák M, Singh-Manoux A. Midlife type 2 diabetes and poor glycaemic control as risk factors for cognitive decline in early old age: a Post-hoc analysis of the whitehall II cohort study. Lancet Diabetes Endocrinol. 2013;2(3):228–35.CrossRefPubMed Tuligenga RH, Dugravot A, Tabák AG, Elbaz A, Brunner EJ, Kivimák M, Singh-Manoux A. Midlife type 2 diabetes and poor glycaemic control as risk factors for cognitive decline in early old age: a Post-hoc analysis of the whitehall II cohort study. Lancet Diabetes Endocrinol. 2013;2(3):228–35.CrossRefPubMed
38.
go back to reference Lloyd CE, Roy T, Nouwen A, Chauran AM. Epidemiology of depression in diabetes: international and cross-cultural issues. J Affect Disord. 2012;14251:522–9. Lloyd CE, Roy T, Nouwen A, Chauran AM. Epidemiology of depression in diabetes: international and cross-cultural issues. J Affect Disord. 2012;14251:522–9.
39.
go back to reference Xu W, Goldberg SI, Shubina M. A Turchin Optimal systolic blood pressure target, time to intensification, and time to follow-up in treatment of hypertension: population based retrospective cohort study. Br Med J. 2015;5:350–9. Xu W, Goldberg SI, Shubina M. A Turchin Optimal systolic blood pressure target, time to intensification, and time to follow-up in treatment of hypertension: population based retrospective cohort study. Br Med J. 2015;5:350–9.
40.
go back to reference Li L, Hardy R, Kuh D, Power C. Life-course body mass index trajectories and blood pressure in mid life in two British birth cohorts: stronger associations in the later-born generation. Int J Epidemiol. 2015;2:1–9. Li L, Hardy R, Kuh D, Power C. Life-course body mass index trajectories and blood pressure in mid life in two British birth cohorts: stronger associations in the later-born generation. Int J Epidemiol. 2015;2:1–9.
41.
go back to reference Mcphee SJ, Papadakis MA. Current medical Diagnosis & Treatment. Systemic hypertension. 2012;11:421–49. Mcphee SJ, Papadakis MA. Current medical Diagnosis & Treatment. Systemic hypertension. 2012;11:421–49.
Metadata
Title
Depression and alexithymia on weight perception in patients with metabolic syndrome and type 2 diabetes
Authors
Maria Cristina de Oliveira Regina
Marcos Antonio Tambascia
Publication date
01-12-2017
Publisher
BioMed Central
Published in
Diabetology & Metabolic Syndrome / Issue 1/2017
Electronic ISSN: 1758-5996
DOI
https://doi.org/10.1186/s13098-017-0222-4

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