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Health and Quality of Life Outcomes
Published in: Health and Quality of Life Outcomes 1/2021

Open Access 01-12-2021 | Research

The association of quality of life and personality characteristics with adolescent metabolic syndrome: a cohort study

Authors: Xiaohua Liang, Peng Zhang, Shunqing Luo, Guifang Zhang, Xian Tang, Lingjuan Liu

Published in: Health and Quality of Life Outcomes | Issue 1/2021

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Abstract

Background

An increased prevalence of adolescent metabolic syndrome (MS) is associated with adulthood cardiovascular diseases. This study aimed to explore the potential relationship of quality of life (QoL) and personality traits with adolescent MS.

Methods

A total of 1961 participants from Chongqing with an average age of 11.68 years old from a cohort study established in 2014 and followed up through 2019 were included. QoL information, Eysenck’s personality questionnaire and MS components were collected.

Results

A higher QoL domain score of physical activity ability (PAA) was a protective factor for both MS and MS score (all P < 0.01), which was mainly negatively correlated with the MS components of central obesity, diastolic blood pressure (DBP) and triglyceride levels, as well as positively correlated with high density lipoprotein cholesterol (HDL-C) level. The total QoL score was negatively correlated with triglyceride levels and positively correlated with DBP (all P < 0.01). High extraversion personality score was a protective factor against adolescent MS (P = 0.04) and MS score (P < 0.05), which were mainly negatively correlated with the MS components of waist circumference, systolic blood pressure and TGs, and positively correlated with HDL-C (all P ≤ 0.01).

Conclusions

QoL score and extraversion personality score were independent protective factors against both MS prevalence and MS score, suggesting that community intervention to improve the QoL and psychological health of children are essential.
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Literature
1.
Koskinen JS, Kyto V, Juonala M, Viikari JSA, Nevalainen J, Kahonen M, Lehtimaki T, Hutri-Kahonen N, Laitinen T, Tossavainen P, et al. Childhood risk factors and carotid atherosclerotic plaque in adulthood: The Cardiovascular Risk in Young Finns Study. Atherosclerosis. 2019;293:18–25.CrossRef
2.
DeBoer MD, Gurka MJ, Woo JG, Morrison JA. Severity of metabolic syndrome as a predictor of cardiovascular disease between childhood and adulthood: the Princeton Lipid Research Cohort Study. J Am Coll Cardiol. 2015;66:755–7.CrossRef
3.
Johnson WD, Kroon JJ, Greenway FL, Bouchard C, Ryan D, Katzmarzyk PT. Prevalence of risk factors for metabolic syndrome in adolescents: National Health and Nutrition Examination Survey (NHANES), 2001–2006. Arch Pediatr Adolesc Med. 2009;163:371–7.CrossRef
4.
Li Y, Yang X, Zhai F, Kok FJ, Zhao W, Piao J, Zhang J, Cui Z, Ma G. Prevalence of the metabolic syndrome in Chinese adolescents. Br J Nutr. 2008;99:565–70.CrossRef
5.
Magge SN, Goodman E, Armstrong SC, Committee On N, Section On E, Section On O. The metabolic syndrome in children and adolescents: shifting the focus to cardiometabolic risk factor clustering. Pediatrics. 2017;140(2):e20171603.
6.
Fadzlina AA, Harun F, Nurul Haniza MY, Al Sadat N, Murray L, Cantwell MM, Su TT, Majid HA, Jalaludin MY. Metabolic syndrome among 13 year old adolescents: prevalence and risk factors. BMC Public Health. 2014;14(Suppl 3):S7.CrossRef
7.
Lowe WL Jr, Scholtens DM, Kuang A, Linder B, Lawrence JM, Lebenthal Y, McCance D, Hamilton J, Nodzenski M, Talbot O, et al. Hyperglycemia and adverse pregnancy outcome follow-up study (HAPO FUS): maternal gestational diabetes mellitus and childhood glucose metabolism. Diabetes Care. 2019;42:372–80.CrossRef
8.
He W, James SA, Merli MG, Zheng H. An increasing socioeconomic gap in childhood overweight and obesity in China. Am J Public Health. 2014;104:e14-22.CrossRef
9.
Iglayreger HB, Peterson MD, Liu D, Parker CA, Woolford SJ, Sallinen Gafka BJ, Hassan F, Gordon PM. Sleep duration predicts cardiometabolic risk in obese adolescents. J Pediatr. 2014;164:1085-1090 e1081.CrossRef
10.
Saboya PP, Bodanese LC, Zimmermann PR, Gustavo AD, Assumpcao CM, Londero F. Metabolic syndrome and quality of life: a systematic review. Rev Lat Am Enfermagem. 2016;24:e2848.CrossRef
11.
Amiri P, Deihim T, Taherian R, Karimi M, Gharibzadeh S, Asghari-Jafarabadi M, Shiva N, Azizi F. Factors affecting gender differences in the association between health-related quality of life and metabolic syndrome components: Tehran Lipid and Glucose Study. PLoS ONE. 2015;10(12):e0143167.
12.
Vetter ML, Wadden TA, Lavenberg J, Moore RH, Volger S, Perez JL, Sarwer DB, Tsai AG. Relation of health-related quality of life to metabolic syndrome, obesity, depression and comorbid illnesses. Int J Obes (Lond). 2011;35:1087–94.CrossRef
13.
Lidfeldt J, Nyberg P, Nerbrand C, Samsioe G, Schersten B, Agardh CD. Socio-demographic and psychosocial factors are associated with features of the metabolic syndrome. The Women’s Health in the Lund Area (WHILA) study. Diabetes Obes Metab. 2003;5:106–12.CrossRef
14.
Sarrafzadegan N, Gharipour M, Ramezani MA, Rabiei K, Zolfaghar B, Tavassoli AA, Boshtam M, Zarfeshani S, Khosravi A, Yousefi A. Metabolic syndrome and health-related quality of life in Iranian population. J Res Med Sci. 2011;16:254–61.PubMedPubMedCentral
15.
Taylor TR, Dash C, Sheppard V, Makambi K, Ma X, Adams-Campbell LL. The effect of a randomized controlled physical activity trial on health related quality of life in metabolically unhealthy African-American women: FIERCE STUDY. Contemp Clin Trials. 2018;67:121–8.CrossRef
16.
Wu XY, Han LH, Zhang JH, Luo S, Hu JW, Sun K. The influence of physical activity, sedentary behavior on health-related quality of life among the general population of children and adolescents: a systematic review. PLoS ONE. 2017;12:e0187668.CrossRef
17.
Wu XY, Zhuang LH, Li W, Guo HW, Zhang JH, Zhao YK, Hu JW, Gao QQ, Luo S, Ohinmaa A, Veugelers PJ. The influence of diet quality and dietary behavior on health-related quality of life in the general population of children and adolescents: a systematic review and meta-analysis. Qual Life Res. 2019;28:1989–2015.CrossRef
18.
Mollerup PM, Nielsen TRH, Bojsoe C, Kloppenborg JT, Baker JL, Holm JC. Quality of life improves in children and adolescents during a community-based overweight and obesity treatment. Qual Life Res. 2017;26:1597–608.CrossRef
19.
Sagar R, Gupta T. Psychological aspects of obesity in children and adolescents. Indian J Pediatr. 2018;85:554–9.CrossRef
20.
Ohseto H, Ishikuro M, Kikuya M, Obara T, Igarashi Y, Takahashi S, Kikuchi D, Shigihara M, Yamanaka C, Miyashita M, et al. Relationships among personality traits, metabolic syndrome, and metabolic syndrome scores: the Kakegawa cohort study. J Psychosom Res. 2018;107:20–5.CrossRef
21.
Damian RI, Spengler M, Sutu A, Roberts BW. Sixteen going on sixty-six: a longitudinal study of personality stability and change across 50 years. J Pers Soc Psychol. 2019;117:674–95.CrossRef
22.
Liang XH, Xiao L, Luo YT, Xu JP. Prevalence and risk factors of childhood hypertension from birth through childhood: a retrospective cohort study. J Hum Hypertens. 2020;34:151–64.CrossRef
23.
Hanrong WUPL. Heng MENG norn, reliability and validity of children and adolescents’ QOL scale. Chin J School Health. 2006;27:18–21.
24.
Yang Y. Rating scales for children’s developmental behavior and mental health. Beijing: People’s Medical Publishing Co. Ltd; 2016.
25.
Wang Q, Yin J, Xu L, Cheng H, Zhao X, Xiang H, Lam HS, Mi J, Li M. Prevalence of metabolic syndrome in a cohort of Chinese schoolchildren: comparison of two definitions and assessment of adipokines as components by factor analysis. BMC Public Health. 2013;13:249.CrossRef
26.
Ma G, Ji C, Ma J, Mi J, Ry S, Xiong F, Yan W, Hu X, Li Y, Du S, Fang H, Jiang J. Waist circumference reference values for screening cardiovascular risk factors in Chinese children and adolescents aged 7–18 years. Chin J Epidemiol. 2010;31:609–15.
27.
Fan H, Yan Y, Mi J, on behalf of the Chinese Child Blood Pressure References Collaborative Group. Updating blood pressure references for Chinese children aged 3–17 years. Chin J Hypertens. 2017;25:428–435.
28.
Mikolajczyk RT, Zhang J, Betran AP, Souza JP, Mori R, Gulmezoglu AM, Merialdi M. A global reference for fetal-weight and birthweight percentiles. Lancet. 2011;377:1855–61.CrossRef
29.
Hu L, Huang X, You C, Li J, Hong K, Li P, Wu Y, Wu Q, Wang Z, Gao R, et al. Prevalence of overweight, obesity, abdominal obesity and obesity-related risk factors in southern China. PLoS ONE. 2017;12:e0183934.CrossRef
30.
Johnson J, Clifton RG, Roberts JM, Myatt L, Hauth JC, Spong CY, Varner MW, Wapner RJ, Thorp JM Jr, Mercer BM, et al. Pregnancy outcomes with weight gain above or below the 2009 Institute of Medicine guidelines. Obstet Gynecol. 2013;121:969–75.CrossRef
31.
Kesztyus D, Wirt T, Kobel S, Schreiber A, Kettner S, Dreyhaupt J, Kilian R, Steinacker JM, Komm mit in das gesunde Boot - Grundschule" - Research G. Is central obesity associated with poorer health and health-related quality of life in primary school children? Cross-sectional results from the Baden-Wurttemberg Study. BMC Public Health. 2013;13:260.
32.
Kolotkin RL, Andersen JR. A systematic review of reviews: exploring the relationship between obesity, weight loss and health-related quality of life. Clin Obes. 2017;7:273–89.CrossRef
33.
Kesztyus D, Schreiber A, Kobel S, Wartha O, Kesztyus T, Kilian R, Steinacker JM, Study group "Join the Healthy Boat - Primary S. Illness and determinants of health-related quality of life in a cross-sectional sample of schoolchildren in different weight categories. Ger Med Sci. 2014; 12:Doc04.
34.
Poll FA, Miraglia F, D'Avila HF, Reuter CP, Mello ED. Impact of intervention on nutritional status, consumption of processed foods, and quality of life of adolescents with excess weight. J Pediatr (Rio J). 2020;96(5):621–9.
35.
Uchmanowicz I, Loboz-Grudzien K, Jankowska-Polanska B, Sokalski L. Influence of diabetes on health-related quality of life results in patients with acute coronary syndrome treated with coronary angioplasty. Acta Diabetol. 2013;50:217–25.CrossRef
36.
Adedapo AD, Akunne OO, Adedokun BO. Comparative assessment of determinants of health-related quality of life in hypertensive patients and normal population in south-west Nigeria. Int J Clin Pharmacol Ther. 2015;53:265–71.CrossRef
37.
Sun J, Buys N. Community-based mind-body meditative Tai Chi program and its effects on improvement of blood pressure, weight, renal function, serum lipoprotein, and quality of life in Chinese Adults with Hypertens. Am J Cardiol. 2015;116:1076–81.CrossRef
38.
Yan R, Gu HQ, Wang W, Ma L, Li W, Group CR. Health-related quality of life in blood pressure control and blood lipid-lowering therapies: results from the CHIEF randomized controlled trial. Hypertens Res. 2019;42:1561–71.CrossRef
39.
Braga de Souza AC, Felicio JS, Koury CC, Neto JF, Mileo KB, Santos FM, Negrato CA, Motta AR, Silva DD, Arbage TP, et al. Health-related quality of life in people with type 1 Diabetes Mellitus: data from the Brazilian Type 1 Diabetes Study Group. Health Qual Life Outcomes. 2015;13:204.CrossRef
40.
Amiri P, Deihim T, Taherian R, Karimi M, Gharibzadeh S, Asghari-Jafarabadi M, Shiva N, Azizi F. Factors affecting gender differences in the association between health-related quality of life and metabolic syndrome components: Tehran Lipid and Glucose Study. PLoS ONE. 2015;10:e0143167.CrossRef
41.
Khandehroo M, Tavakoly Sany SB, Oakley D, Peyman N. Health literacy intervention and quality of life in menopausal women: a randomized controlled trial. Int J Health Promot Educ. 2020;5:1–14.
42.
Evans BE, Stam J, Huizink AC, Willemen AM, Westenberg PM, Branje S, Meeus W, Koot HM, van Lier PAC. Neuroticism and extraversion in relation to physiological stress reactivity during adolescence. Biol Psychol. 2016;117:67–79.CrossRef
43.
Park SB, Blumenthal JA, Lee SY, Georgiades A. Association of cortisol and the metabolic syndrome in Korean men and women. J Korean Med Sci. 2011;26:914–8.CrossRef
44.
Koolhaas JM, de Boer SF, Buwalda B, van Reenen K. Individual variation in coping with stress: a multidimensional approach of ultimate and proximate mechanisms. Brain Behav Evol. 2007;70:218–26.CrossRef
45.
Morton GJ, Muta K, Kaiyala KJ, Rojas JM, Scarlett JM, Matsen ME, Nelson JT, Acharya NK, Piccinini F, Stefanovski D, et al. Evidence that the sympathetic nervous system elicits rapid, coordinated, and reciprocal adjustments of insulin secretion and insulin sensitivity during cold exposure. Diabetes. 2017;66:823–34.CrossRef
46.
Geerling JJ, Boon MR, Kooijman S, Parlevliet ET, Havekes LM, Romijn JA, Meurs IM, Rensen PC. Sympathetic nervous system control of triglyceride metabolism: novel concepts derived from recent studies. J Lipid Res. 2014;55:180–9.CrossRef
47.
van Doornen LJ, Orlebeke KF. Stress, personality and serum-cholesterol level. J Hum Stress. 1982;8:24–9.CrossRef
Metadata
Title
The association of quality of life and personality characteristics with adolescent metabolic syndrome: a cohort study
Authors
Xiaohua Liang
Peng Zhang
Shunqing Luo
Guifang Zhang
Xian Tang
Lingjuan Liu
Publication date
01-12-2021
Publisher
BioMed Central
Published in
Health and Quality of Life Outcomes / Issue 1/2021
Electronic ISSN: 1477-7525
DOI
https://doi.org/10.1186/s12955-021-01797-7

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