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BioPsychoSocial Medicine
Published in: BioPsychoSocial Medicine 1/2020

Open Access 01-12-2020 | Biomarkers | Research

Personal values in adolescence and their associations with metabolic biomarkers in adulthood: a Japanese population-based study

Authors: Natsu Sasaki, Kazuhiro Watanabe, Norito Kawakami

Published in: BioPsychoSocial Medicine | Issue 1/2020

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Abstract

Background

Personal values, which are formed in early life, can have an impact on health outcome later in life.

Objective

The aim of this study is to investigate the relation between personal values in adolescence and bio-indicators related to metabolic syndrome (MetS) in adulthood.

Participants and Methods

The longitudinal data used was from the Japanese Study on Stratification, Health, Income, and Neighborhood (J-SHINE). Personal values in adolescence were retrospectively obtained in 2017 from a self-reporting questionnaire, composed of value priorities and commitment to the values. Venous samples were collected in 2012 for low and high-density lipoprotein (LDL, HDL) cholesterol and hemoglobin A1c (HbA1c). Body mass index (BMI), waist circumference and systolic and diastolic blood pressure (SBP, DBP) were also measured. The associations of each variable were examined by partial correlation analysis. In addition, multiple linear regression analysis was conducted to examine overall associations between personal values and the sum of standardized scores (Z-score) of the biomarkers as a proxy of MetS.

Results

The total population (n = 668) included 261 men and 407 women. For men, the personal value priority of “Having influence on society” was associated with high HDL cholesterol (0.133, p = 0.032) and “Cherishing familiar people” with low waist circumference (r = -0.129, p = 0.049), low SBP, and high DBP (r = -0.135, p = 0.039; r = 0.134, p = 0.041). For women, “Not bothering others” was associated with high SBP and low DBP (r = 0.125, p = 0.015; r = -0.123, p = 0.017). "Economically succeeding" was associated with a worse outcome (β = 0.162, p = 0.042) in men.

Conclusions

Although some significant associations were found between personal values in adolescence and MetS-related markers in adulthood, the overall associations were not strong. Culturally prevailing values were likely to be associated with a good outcome of metabolic health.
Literature
1.
Alberti KZ. Definition, diagnosis and classification of diabetes mellitus and its complications: report of a WHO consultation. Part 1, Diagnosis and classification of diabetes mellitus. Geneva: World Health Organization; 1999. .
2.
Ranasinghe P, Mathangasinghe Y, Jayawardena R, Hills AP, Misra A. Prevalence and trends of metabolic syndrome among adults in the asia-pacific region: a systematic review. BMC Public Health. 2017;17(1):101. .PubMedPubMedCentralCrossRef
3.
Ju SY, Lee JY, Kim DH. Association of metabolic syndrome and its components with all-cause and cardiovascular mortality in the elderly: A meta-analysis of prospective cohort studies. Medicine. 2017;96(45):e8491. .PubMedPubMedCentralCrossRef
4.
5.
Kazaz I, Angin E, Kabaran S, Iyigun G, Kirmizigil B, Malkoc M. Evaluation of the physical activity level, nutrition quality, and depression in patients with metabolic syndrome: Comparative study. Medicine. 2018;97(18):e0485. .PubMedPubMedCentralCrossRef
6.
Bassi N, Karagodin I, Wang S, Vassallo P, Priyanath A, Massaro E, et al. Lifestyle modification for metabolic syndrome: a systematic review. Am J Med. 2014;127(12):1242.e1-10. .CrossRef
7.
Yu JH, Yun CH, Ahn JH, Suh S, Cho HJ, Lee SK, et al. Evening chronotype is associated with metabolic disorders and body composition in middle-aged adults. J Clin Endocrinol Metab. 2015;100(4):1494–502. .PubMedCrossRef
8.
Yancura LA, Aldwin CM, Levenson MR, Spiro A 3rd. Coping, affect, and the metabolic syndrome in older men: how does coping get under the skin? J Gerontol Series B, Psychol Sci Soc Sci. 2006;61(5):295–303. .CrossRef
9.
10.
Berenson GS, Srnivasan SR, Bogalusa Heart Study G. Cardiovascular risk factors in youth with implications for aging: the Bogalusa Heart Study. Neurobiol Aging. 2005;26(3):303–7. .PubMedCrossRef
11.
Araujo Fernandes R, Joao Coelho-e-Silva M, Carlos Spiguel Lima M, Ungari Cayres S, Sanches Codogno J. Possible underestimation by sports medicine of the effects of early physical exercise practice on the prevention of diseases in adulthood. Curr Diabetes Rev. 2015;11(3):201–5. .CrossRef
12.
Werneck A, Lima M, Agostinete R, Silva D, Turi-Lynch B, Codogno J, et al. Association between sports participation in early life and arterial intima-media thickness among adults. Medicina. 2018;54(5):85. .PubMedCentralCrossRef
13.
14.
Jakubowski KP, Cundiff JM, Matthews KA. Cumulative childhood adversity and adult cardiometabolic disease: a meta-analysis. Health Psychol. 2018;37(8):701–15. .PubMedPubMedCentralCrossRef
15.
Alciati A, Gesuele F, Casazza G, Foschi D. The relationship between childhood parental loss and metabolic syndrome in obese subjects. Stress Health. 2013;29(1):5–13. .PubMedCrossRef
16.
Tamayo T, Christian H, Rathmann W. Impact of early psychosocial factors (childhood socioeconomic factors and adversities) on future risk of type 2 diabetes, metabolic disturbances and obesity: a systematic review. BMC Public Health. 2010;10:525. .PubMedPubMedCentralCrossRef
17.
Miller GE, Lachman ME, Chen E, Gruenewald TL, Karlamangla AS, Seeman TE. Pathways to resilience: maternal nurturance as a buffer against the effects of childhood poverty on metabolic syndrome at midlife. Psychol Sci. 2011;22(12):1591–9. .PubMedCrossRef
18.
Appleton AA, Buka SL, Loucks EB, Rimm EB, Martin LT, Kubzansky LD. A prospective study of positive early-life psychosocial factors and favorable cardiovascular risk in adulthood. Circulation. 2013;127(8):905–12. .PubMedPubMedCentralCrossRef
19.
McDermott JF Jr, Robillard AB, Char WF, Hsu J, Tseng WS, Ashton GC. Reexamining the concept of adolescence: differences between adolescent boys and girls in the context of their families. Am J Psychiatry. 1983;140(10):1318–22. .PubMedCrossRef
20.
Sagiv LSS. Value priorities and subjective well-being: direct relations and congruity effects. Eur J Soc Psychol. 2000;30:177–98. .CrossRef
21.
Schwartz SH. Universals in the content and structure of values: theoretical advances and empirical tests in 20 countries. Adv Exp Soc Psychol. 1992;25:1–65. .
22.
23.
Patty Ferssizidis LMA, Kashdan TB, Plummer C, Mishra A, Ciarrochi J. Motivation for and commitment to social values: The roles of age and gender. Motiv Emotion. 2010;34(4):354–62. .CrossRef
24.
Yasuma N, Watanabe K, Matsunaga A, Nishi D, Kawakami N. Personal values in adolescence and suicidality: a cross-sectional study based on a retrospective recall. BMC Psychiatry. 2019;19(1):214. .PubMedPubMedCentralCrossRef
25.
Takada M, Kondo N, Hashimoto H. Japanese study on stratification, health, income, and neighborhood: study protocol and profiles of participants. J Epidemiol. 2014;24(4):334–44. .PubMedCrossRef
26.
SH Schwartz “Robustness and fruitfulness of a theory of universals in individual human 425 values,” in Valores e comportamento nas organizações [Values and behavior in organizations], 426 eds. A. Tamayo and J.B. Porto (Petrópolis, Brazil: Vozes), pp. 56–95. 2005.
27.
Mousseau AC, Scott WD, Estes D. Values and depressive symptoms in American Indian youth of the northern plains: Examining the potential moderating roles of outcome expectancies and perceived community values. J Youth Adolesc. 2014;43(3):426–36. .PubMedCrossRef
28.
Doi S, Yokomitsu K, Sakano Y. Personal Values Questionnaire II: internal 371 consistency and validity. Japanese J Behav Ther. 2014;40:45–55 ((in Japanese)). .
29.
Faul F, Erdfelder E, Buchner A, Lang AG. Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses. Behav Res Methods. 2009;41(4):1149–60. .PubMedCrossRef
30.
Faul F, Erdfelder E, Lang AG, Buchner A. G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav Res Methods. 2007;39(2):175–91. .CrossRefPubMed
31.
Liu H, Yu S, Cottrell L, Lunn S, Deveaux L, Brathwaite NV, et al. Personal values and involvement in problem behaviors among Bahamian early adolescents: a cross-sectional study. BMC Public Health. 2007;7:135. .PubMedPubMedCentralCrossRef
32.
Drager LF, Togeiro SM, Polotsky VY, Lorenzi-Filho G. Obstructive sleep apnea: a cardiometabolic risk in obesity and the metabolic syndrome. J Am Coll Cardiol. 2013;62(7):569–76. .PubMedPubMedCentralCrossRef
33.
Young DR, Hivert MF, Alhassan S, Camhi SM, Ferguson JF, Katzmarzyk PT, et al. Sedentary behavior and cardiovascular morbidity and mortality: a science advisory from the American Heart Association. Circulation. 2016;134(13):e262–79. .PubMedCrossRef
34.
Via MA, Mechanick JI. Nutrition in Type 2 Diabetes and the Metabolic Syndrome. Med Clin North Am. 2016;100(6):1285–302. .PubMedCrossRef
35.
Watanabe K, Sakuraya A, Kawakami N, Imamura K, Ando E, Asai Y, et al. Work-related psychosocial factors and metabolic syndrome onset among workers: a systematic review and meta-analysis. Obes Rev. 2018;19(11):1557–68. .PubMedCrossRef
36.
Triandis HC. Cross-cultural studies of individualism and collectivism. Nebr Symp Motiv. 1989;37:41–133. .PubMed
37.
Wimmelmann CL, Lund R, Flensborg-Madsen T, Christensen U, Osler M, Lykke ME. Associations of Personality with Body Mass Index and Obesity in a Large Late Midlife Community Sample. Obesity facts. 2018;11(2):129–43. .PubMedPubMedCentralCrossRef
38.
Hengartner MP, Kawohl W, Haker H, Rossler W, Ajdacic-Gross V. Big Five personality traits may inform public health policy and preventive medicine: Evidence from a cross-sectional and a prospective longitudinal epidemiologic study in a Swiss community. J Psychosom Res. 2016;84:44–51. .PubMedCrossRef
39.
40.
Parks-Leduc L, Feldman G, Bardi A. Personality traits and personal values: a meta-analysis. Pers Soc Psychol Rev. 2015;19(1):3–29. .PubMedCrossRef
Metadata
Title
Personal values in adolescence and their associations with metabolic biomarkers in adulthood: a Japanese population-based study
Authors
Natsu Sasaki
Kazuhiro Watanabe
Norito Kawakami
Publication date
01-12-2020
Publisher
BioMed Central
Keyword
Biomarkers
Published in
BioPsychoSocial Medicine / Issue 1/2020
Electronic ISSN: 1751-0759
DOI
https://doi.org/10.1186/s13030-020-00197-5

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