Abstract
Objectives
Alexithymia and low health literacy are the barriers of self-management. This study aims to examine the relationship between alexithymia, health literacy and diet quality in obese adolescents, and their effects on anthropometric and biochemical markers.
Methods
The 20-item Toronto alexithymia scale (TAS-20) was used to determine the alexithymic traits of the adolescents, and “The Newest Vital Sign” (NVS) scales were used to determine their health literacy levels. Diet quality was evaluated with the Healthy Eating Index-2010 (HEI-2010).
Results
39.7% of the obese adolescents were alexithymic, and 69.4% of alexithymics and 35.1% of non-alexithymics had metabolic syndrome. Alexithymic adolescents were lack of adequate health literacy. There were positive correlations between alexithymia scores and insulin, triglyceride, systolic and diastolic blood pressure levels, and all anthropometric values except height (p<0.05). There was a negative correlation between alexithymia scores and health literacy scores (p<0.05). There were negative correlations between health literacy and alexithymia scores, insulin, total cholesterol, triglyceride, ALT, systolic, diastolic blood pressure levels and all anthropometric values except height, and positive correlation was observed between health literacy scores and diet quality (p<0.05). Total HEI score was negatively correlated with waist circumference, neck circumference, body weight, BMI, triglyceride, AST, ALT, systolic and diastolic blood pressure, and positively correlated with health literacy and HDL levels (p<0.05).
Conclusions
As alexithymia severity increased in obese adolescents, the degree of obesity and the incidence of metabolic syndrome increased while the level of health literacy decreased. The increase in health literacy levels, on the other hand, decreased the level of alexithymia and increased the quality of the diet.
Acknowledgments
We thank all of the participants who devoted their time to participating in this sudy. They are warmly acknowledged for their helpful and whole-hearted cooperation.
-
Research funding: None declared.
-
Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.
-
Competing interests: Authors state no conflict of interest.
-
Informed consent: Informed consent was obtained from all individuals included in this study.
-
Ethical approval: Approval was obtained from the Gazi University Ethics Committee (with approval number: 35.27.02.2017).
References
1. Altamura, M, Porcelli, P, Fairfield, B, Malerba, S, Carnevale, R, Balzotti, A, et al.. Alexithymia predicts attrition and outcome in weight-loss obesity treatment. Front Psychol 2018;9:2432. https://doi.org/10.3389/fpsyg.2018.02432.Search in Google Scholar PubMed PubMed Central
2. Casagrande, M, Boncompagni, I, Forte, G, Favieri, AFG. Emotion and overeating behavior: effects of alexithymia and emotional regulation on overweight and obesity. Eat Weight Disord 2020;25:1333–45. https://doi.org/10.1007/s40519-019-00767-9.Search in Google Scholar PubMed
3. Panayiotou, G, Constantinou, E. Emotion dysregulation in alexithymia: startle reactivity to fearful affective imagery and its relation to heart rate variability. Psychophysiology 2017;54:1323–34. https://doi.org/10.1111/psyp.12887.Search in Google Scholar PubMed
4. Morie, K, Ridout, N. Alexithymia and maladaptive regulatory behaviors in substance use disorders and eating disorders. In: Luminet, O, Bagby, R, Taylor, G, editors. Alexithymia: advances in research, theory, and clinical practice. Cambridge: Cambridge University; 2018:158–73 pp.10.1017/9781108241595.012Search in Google Scholar
5. Fanton, S, Azevedo, LC, Vargas, DM. Alexithymia in obese adolescents is associated with severe obesity and binge eating behavior. J Pediatr 2022;98:264–9. https://doi.org/10.1016/j.jped.2021.06.003.Search in Google Scholar PubMed PubMed Central
6. Karukivi, M, Jula, A, Hutri-Kähönen, N, Juonala, M, Raitakari, O. Is alexithymia associated with metabolic syndrome? A study in a healthy adult population. Psychiatr Res 2016;236:58–63. https://doi.org/10.1016/j.psychres.2015.12.034.Search in Google Scholar PubMed
7. Kindig, DA, Panzer, AM. Health literacy: a prescription to end confusion. Institute of medicine. Washington, DC: National Academies Press; 2004.10.17226/10883Search in Google Scholar PubMed
8. Chari, R, Warsh, J, Ketterer, T, Hossain, J, Sharif, I. Association between health literacy and child and adolescent obesity. Patient Educ Counsel 2016;94:61–6. https://doi.org/10.1016/j.pec.2013.09.006.Search in Google Scholar PubMed
9. Adewole, KO, Ogunfowokan, AA, Olodu, M. Influence of health literacy on health promoting behaviour of adolescents with and without obesity. Int J Afr Nurs Sci 2021;15:100342. https://doi.org/10.1016/j.ijans.2021.100342.Search in Google Scholar
10. Park, A, Eckert, TL, Zaso, MJ, Scott-Sheldon, LA, Vanable, PA, Carey, KB, et al.. Associations between health literacy and health behaviors among urban high school students. J Sch Health 2017;87:885–93. https://doi.org/10.1111/josh.12567.Search in Google Scholar PubMed PubMed Central
11. Sharif, I, Blank, AE. Relationship between child health literacy and body mass index on overweight children. Patient Educ Counsel 2010;79:43–8. https://doi.org/10.1016/j.pec.2009.07.035.Search in Google Scholar PubMed PubMed Central
12. Zheng, M, Jin, H, Shi, N, Duan, C, Wang, D, Yu, X, et al.. The relationship between health literacy and quality of life: a systematic review and meta-analysis. Health Qual Life Outcome 2018;16:201. https://doi.org/10.1186/s12955-018-1031-7.Search in Google Scholar PubMed PubMed Central
13. Yoshida, Y, Iwasa, H, Kumagai, S, Suzuki, T, Yoshida, H. Limited functional health literacy, health information sources, and health behavior among community-dwelling older adults in Japan. ISRN Geriatr 2014;2014:1–6. https://doi.org/10.1155/2014/952908.Search in Google Scholar
14. Yılmaz, M, Fırat, YY, Gül, FH, Kahraman, TA. Sağlık okuryazarlığının diyet kalitesine etkisi. Bes Diy Derg 2021;49:28–37. https://doi.org/10.33076/2021.bdd.1477.Search in Google Scholar
15. Appelhans, BM, Whited, MC, Schneider, KL, Ma, Y, Oleski, JL, Merriam, PA, et al.. Depression severity, diet quality, and physical activity in women with obesity and depression. J Acad Nutr Diet 2012;112:693–8. https://doi.org/10.1016/j.jand.2012.02.006.Search in Google Scholar PubMed PubMed Central
16. Ruiz, LD, Zuelch, ML, Dimitratos, SM, Scherr, RE. Adolescent obesity: diet quality, psychosocial health, and cardiometabolic risk factors. Nutrients 2019;12:43. https://doi.org/10.3390/nu12010043.Search in Google Scholar PubMed PubMed Central
17. Honkalampi, K, Ruusunen, A, Viinamäki, H, Koivumaa-Honkanen, H, Valkonen-Korhonen, M, Lehto, SM. Dietary patterns are associated with the prevalence of alexithymia. Scand J Psychol 2017;58:318–23. https://doi.org/10.1111/sjop.12370.Search in Google Scholar PubMed
18. Zoellner, J, You, W, Connell, C, Smith-Ray, RL, Allen, K, Tucker, KL, et al.. Health literacy is associated with healthy eating index scores and sugar-sweetened beverage intake: findings from the rural lower mississippi Delta. J Am Diet Assoc 2011;111:1012–20. https://doi.org/10.1016/j.jada.2011.04.010.Search in Google Scholar PubMed PubMed Central
19. Hutchison, JA, Warren-Findlow, J, Dulin, M, Tapp, H, Lindsay, K. The association between health literacy and diet adherence among primary care patients with hypertension. J Health Disparities Res Pract 2014;7:109–26.Search in Google Scholar
20. Bowen, ME, Cavanaugh, KL, Wolff, K, Davis, D, Rothman, RLGB. Numeracy and dietary intake in patients with type 2 diabetes. Diabetes Educat 2013;39:240–7. https://doi.org/10.1177/0145721713475841.Search in Google Scholar PubMed PubMed Central
21. Matthews, DR, Hosker, JP, Rudenski, AS, Naylor, BA, Treacher, DF, Turner, RC. Homeostasis model assessment: insulin resistance and beta cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia 1985;28:412–9. https://doi.org/10.1007/bf00280883.Search in Google Scholar
22. Keskin, M, Kurtoglu, S, Kendirci, M, Atabek, ME, Yazıcı, C. Homeostasis model assessment is more reliable than the fasting glucose/insulin ratio and quantitative insulin sensitivity check index for assessing insulin resistance among obese children and adolescents. Pediatrics 2005;115:500–3. https://doi.org/10.1542/peds.2004-1921.Search in Google Scholar PubMed
23. Alberti, G, Zimmet, P, Kaufman, F, Tajima, N, Silink, M, Arslanian, S, et al.. The IDF consensus definition of the metabolic syndrome in children and adolescents. Int Diabetes Fed 2007;24:2–930229.Search in Google Scholar
24. Bagby, RM, Parker, JDA, Taylor, GJ. The twenty item Toronto alexithymia scale-I: item selection and cross-validation of the factor structure. J Psychosom Res 1994;38:23–32. https://doi.org/10.1016/0022-3999(94)90005-1.Search in Google Scholar PubMed
25. Gulec, H, Kose, S, Gulec, MY, Cıtak, S, Evren, C, Borckardt, J, et al.. Yirmi soruluk Toronto Aleksimi Olceği’nin Turkce uyarlamasının gecerlik ve guvenirliğinin incelenmesi. Klin Psikofarmakol Bul 2009;19:213–9.Search in Google Scholar
26. Weiss, B, Mays, MZ, Martz, W, Castro, KM, Walt, DAD, Pignone, MP, et al.. Quick assessment of literacy in primary care: the newest vital sign. Ann Fam Med 2005;3:514–2. https://doi.org/10.1370/afm.405.Search in Google Scholar PubMed PubMed Central
27. Özdemir, H, Alper, Z, Uncu, Y, Bilgel, N. Health literacy among adults: a study from Turkey. Health Educ Res 2010;25:464–77. https://doi.org/10.1093/her/cyp068.Search in Google Scholar PubMed
28. Guenther, PM, Kirkpatrick, SI, Reedy, J, Krebs-Smith, SM, Buckman, DW, Dodd, KW, et al.. The healthy eating index-2010 is a valid and reliable measure of diet quality according to the 2010 dietary guidelines for Americans. J Nutr 2014;144:399–407. https://doi.org/10.3945/jn.113.183079.Search in Google Scholar PubMed PubMed Central
29. Berger, SS, Elliott, C, Ranzenhofer, L, Shomaker, L, Hannallah, L, Field, S, et al.. Interpersonal problem areas and alexithymia in adolescent girls with loss of control eating. Compr Psychiatr 2014;55:170–8. https://doi.org/10.1016/j.comppsych.2013.08.005.Search in Google Scholar PubMed PubMed Central
30. Pinaquy, S, Chabrol, H, Simon, C, Louvet, JP, Barbe, P. Emotional eating, alexithymia, and binge-eating disorder in obese women. Obes Res 2003;11:195–201. https://doi.org/10.1038/oby.2003.31.Search in Google Scholar PubMed
31. Pinna, F, Lai, L, Pirarba, S, Orru, W, Velluzzi, F, Loviselli, A, et al.. Obesity, alexithymia and psychopathology: a case-control study. Eat Weight Disord 2011;16:164–70.Search in Google Scholar
32. Elfhag, K, Lundh, LG. TAS20 alexithymia in obesity, and its links to personality. Scand J Psychol 2007;48:391–8. https://doi.org/10.1111/j.1467-9450.2007.00583.x.Search in Google Scholar PubMed
33. Goossens, L, Braet, C, Van Vlierberghe, L, Mels, S. Loss of control over eating in overweight youngsters: the role of anxiety, depression and emotional eating. Eur Eat Disord Rev 2009;17:68–78. https://doi.org/10.1002/erv.892.Search in Google Scholar PubMed
34. Nowakowski, ME, McFarlane, T, Cassin, S. Alexithymia and eating disorders: a critical review of the literature. J Eat Disord 2013;1:1–14. https://doi.org/10.1186/2050-2974-1-21.Search in Google Scholar PubMed PubMed Central
35. Conti, C, Francesco, GD, Severo, M, Lanzara, R, Richards, K, Guagnano, MT, et al.. Alexithymia and metabolic syndrome: the mediating role of binge eating. Eat Weight Disord 2021;26:1813–23. https://doi.org/10.1007/s40519-020-00964-x.Search in Google Scholar PubMed PubMed Central
36. Hruby, A, Hu, FB. The epidemiology of obesity: a big picture. Pharmacoeconomics 2015;33:673–89. https://doi.org/10.1007/s40273-014-0243-x.Search in Google Scholar PubMed PubMed Central
37. Puustinen, PJ, Koponen, H, Kautiainen, H, Mantyselka, P, Vanhala, M. Psychological distress predicts the development of the metabolic syndrome: a prospective population-based study. Psychosom Med 2011;73:158–65. https://doi.org/10.1097/psy.0b013e3182037315.Search in Google Scholar PubMed
38. Larsen, MH, Strumse, YAS, Borge, CR, Andersen, MH, Wahl, AK. Relevant associations between alexithymia and health-literacy in persons with psoriasis. J Dermatol Treat 2022;33:380–8. https://doi.org/10.1080/09546634.2020.1756204.Search in Google Scholar PubMed
39. Song, X, Li, D, Hu, J, Yang, R, Wan, Y, Fang, J, et al.. Moderating role of health literacy on the association between alexithymia and depressive symptoms in middle school students. Int J Environ Res Publ Health 2020;17:5321. https://doi.org/10.3390/ijerph17155321.Search in Google Scholar PubMed PubMed Central
40. Paone, E, Pierro, L, Damico, A, Aceto, P, Campanile, FC, Silecchia, G, et al.. Alexithymia and weight loss in obese patients underwent laparoscopic sleeve gastrectomy. Eat Weight Disord 2019;24:129–34. https://doi.org/10.1007/s40519-017-0381-1.Search in Google Scholar PubMed
41. de Oliveira Regina, MC, Tambascia, MA. Depression and alexithymia on weight perception in patients with metabolic syndrome and type 2 diabetes. Diabetol Metab Syndrome 2017;9:1–9. https://doi.org/10.1186/s13098-017-0222-4.Search in Google Scholar PubMed PubMed Central
42. Stein, L, Bergdahl, M, Pettersen, KS, Bergdahl, J. Exploring the association between oral health literacy and alexithymia. Community Dent Health 2015;32:143–7.Search in Google Scholar
43. Shank, LM, Tanofsky-Kraff, M, Kelly, NR, Jaramillo, M, Rubin, SG, Altman, DR, et al.. The association between alexithymia and eating behavior in children and adolescents. Appetite 2019;142:104381. https://doi.org/10.1016/j.appet.2019.104381.Search in Google Scholar PubMed PubMed Central
44. Santiago-Torres, M, Shi, Z, Tinker, LF, Lampe, JW, Allison, MA, Barrington, W, et al.. Diet quality indices and risk of metabolic syndrome among postmenopausal women of Mexican ethnic descent in the women’s health initiative observational study. Nutr Healthy Aging 2020;5:261–72. https://doi.org/10.3233/nha-190076.Search in Google Scholar PubMed PubMed Central
© 2022 Walter de Gruyter GmbH, Berlin/Boston
Articles in the same Issue
- Frontmatter
- Review
- One half-century of advances in the evaluation and management of disorders of bone and mineral metabolism in children and adolescents
- Original Articles
- Safety and user experience with off-label use of a flash glucose monitor (FreeStyle Libre® 1) among very young children with type 1 diabetes mellitus
- Sonic hedgehog N-terminal level correlates with adiponectin level and insulin resistance in adolescents
- Elevated amylase and lipase levels in patients with DKA followed in the pediatric intensive care unit
- The relationship between alexithymia, health literacy, and diet quality in obese adolescents
- The role of the deficiency of vitamin B12 and folic acid on homocysteinemia in children with Turner syndrome
- Clinical spectrum and diagnostic challenges of vitamin D dependent rickets type 1A (VDDR1A) caused by CYP27B1 mutation in resource limited countries
- Comparative characteristics of developing morphofunctional features of schoolchildren from different climatic and geographical regions
- Leucine tolerance in children with MSUD is not correlated with plasma leucine levels at diagnosis
- Outcomes of children with severe diabetic ketoacidosis managed outside of a pediatric intensive care unit
- Thiamine status during treatment of diabetic ketoacidosis in children – tertiary care centre experience
- Premature adrenarche in Prader–Willi syndrome is associated with accelerated pre-pubertal growth and advanced bone age
- Short Communication
- Diagnosis of adrenal insufficiency in children: a survey among pediatric endocrinologists in North America
- Case Reports
- Pediatric growth hormone and prolactin-secreting tumor associated with an AIP mutation and a MEN1 variant of uncertain significance
- Two cases of MEGDHEL syndrome diagnosed with hyperammonemia
- Hyperinsulinism–hyperammonemia syndrome in two Peruvian children with refractory epilepsy
- A case report of a young boy with low renin and high aldosterone levels induced by Liddle syndrome who was previously misdiagnosed with primary aldosteronism
- Adolescents with type 1 diabetes vs. hybrid closed loop systems: a case series of patients’ behaviour that challenges the algorithm.
Articles in the same Issue
- Frontmatter
- Review
- One half-century of advances in the evaluation and management of disorders of bone and mineral metabolism in children and adolescents
- Original Articles
- Safety and user experience with off-label use of a flash glucose monitor (FreeStyle Libre® 1) among very young children with type 1 diabetes mellitus
- Sonic hedgehog N-terminal level correlates with adiponectin level and insulin resistance in adolescents
- Elevated amylase and lipase levels in patients with DKA followed in the pediatric intensive care unit
- The relationship between alexithymia, health literacy, and diet quality in obese adolescents
- The role of the deficiency of vitamin B12 and folic acid on homocysteinemia in children with Turner syndrome
- Clinical spectrum and diagnostic challenges of vitamin D dependent rickets type 1A (VDDR1A) caused by CYP27B1 mutation in resource limited countries
- Comparative characteristics of developing morphofunctional features of schoolchildren from different climatic and geographical regions
- Leucine tolerance in children with MSUD is not correlated with plasma leucine levels at diagnosis
- Outcomes of children with severe diabetic ketoacidosis managed outside of a pediatric intensive care unit
- Thiamine status during treatment of diabetic ketoacidosis in children – tertiary care centre experience
- Premature adrenarche in Prader–Willi syndrome is associated with accelerated pre-pubertal growth and advanced bone age
- Short Communication
- Diagnosis of adrenal insufficiency in children: a survey among pediatric endocrinologists in North America
- Case Reports
- Pediatric growth hormone and prolactin-secreting tumor associated with an AIP mutation and a MEN1 variant of uncertain significance
- Two cases of MEGDHEL syndrome diagnosed with hyperammonemia
- Hyperinsulinism–hyperammonemia syndrome in two Peruvian children with refractory epilepsy
- A case report of a young boy with low renin and high aldosterone levels induced by Liddle syndrome who was previously misdiagnosed with primary aldosteronism
- Adolescents with type 1 diabetes vs. hybrid closed loop systems: a case series of patients’ behaviour that challenges the algorithm.