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Environmental Health and Preventive Medicine

Erschienen in:

01.03.2014 | Regular Article

Significant but weak spousal concordance of metabolic syndrome components in Japanese couples

verfasst von: Tomoko Okuda, Tadayoshi Miyazaki, Sonoko Sakuragi, Jiro Moriguchi, Hiroshi Tachibana, Fumiko Ohashi, Masayuki Ikeda

Erschienen in: Environmental Health and Preventive Medicine | Ausgabe 2/2014

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Abstract

Objective

This study was initiated to investigate if spousal concordance in metabolic syndrome (MS) components exist in Japan.

Methods

In all, 756 couples (mean age: 48.9 and 47.3 years for husbands and wives, respectively) were identified. Each subject was classified as an MS, MS reserves (MSRES) or no risk of MS (NonMS) case after Japanese Ministry of Health, Labour and Welfare (JMHLW) criteria. Criteria of the National Cholesterol Education Program and of the Joint Interim Statement were also applied.

Results

With Japanese Ministry of Health, Labor and Welfare (JMHLW) criteria, MS, MSRES and NonMS cases accounted for 11.9, 14.7 and 73.4 % in husbands and 1.6, 3.7 and 94.7 % in wives. Waist circumference (WC), body mass index (BMI), systolic blood pressure (SBP) and hemoglobin A1c (HbA1c) showed significant correlation (p < 0.01). Correlation was also significant (p < 0.05) for mean blood pressure (MBP) and fasting plasma glucose (FPG). When adjusted for age, correlations were significant only for WC, BMI and HbA1c. Furthermore, none of the correlation coefficients were greater than 0.2. Logistic regression analyses did not suggest significant mutual influence in MS status between the couples.

Conclusions

Spousal concordance in MS components was detected for WC, BMI, SBP, MBP, FPG and HbA1c, but the correlation was generally weak and modest in Japanese couples.

Alberti KGMM, Zimmet PZ. Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus provisional report of a WHO consultation. Diabet Med. 1998;15:539–53.PubMedCrossRef

Expert Panel on Detection. Evaluation, and treatment of high blood cholesterol in adults. Executive summary of the third report of the National Cholesterol Education Program (NCEP adult treatment panel III). J Am Med Assoc. 2001;285:2486–97.CrossRef

Examination Committee of Criteria for Metabolic Syndrome in Japan. Definition and diagnosis criteria for metabolic syndrome. J Jpn Soc Intern Med. 2005;94:794–809 (in Japanese).CrossRef

International Diabetes Federation. The IDF consensus worldwide definition of the metabolic syndrome. http://www.idf.org/webdata//docs/met-def-update2006.pdf (2005).

Japanese Ministry of Health, Labour and Welfare. Ordinance No. 96 on the amendment of health examination system (in Japanese) (2007).

Japanese Ministry of Health, Labour and Welfare. Standard programs for designated health examination and health guidance, p. 25, 45 (in Japanese) (2007).

Japanese Ministry of Health, Labour and Welfare. Note on HbA1c values as a criterion for diagnosis of metabolic syndrome, etc., 13 November 2012 (in Japanese).

Japanese Ministry of Health, Labour and Welfare. Prevalence rates of designated health examination and health guidance in 2020 (in Japanese). http://www.mhlw.go.jp/stf/houdou/2r9852000002qxla-att/2r9852000002qxmr.pdf (2013). Accessed 29 May 2013.

Kyoto Industrial Health Association. Book in celebration of the 70th anniversary of Kyoto Industrial Health Association, Kyoto, Japan, p. 19 (2011) (in Japanese).

10.

Katzmarzyk PT, Hebebrand J, Bouchard C. Sousal resemblance in the Canadian population: implications for the obesity epidemic. Int J Obes Relat Metab Disord. 2002;26:241–6.PubMedCrossRef

11.

Wu D-M, Hong Y, Sun C-A, Sung P-K, Rao DC, Chu N-F. Familial resemblance of adiposity-related parameters: results from a health check-up population in Taiwan. Eur J Epidemiol. 2003;18:221–6.PubMedCrossRef

12.

Jee SH, Suh I, Won SY, Kim M. Familial correlation and heritability for cardiovascular risk factors. Yonsei Med J. 2002;43:160–4.PubMed

13.

Kim HC, Kang DR, Choi KS, Nam CM, Thomas GN, Suh I. Spousal concordance of metabolic syndrome in 3141 Korean couples: a nationwide survey. Ann Epidemiol. 2006;16:292–8.PubMedCrossRef

14.

Jacobson P, Torgerson JS, Sjöström L, Bouchard C. Spouse resemblance in body mass index: effects on adult obesity prevalence in the offspring generation. Am J Epidemiol. 2007;165:101–8.PubMedCrossRef

15.

Kyoto Industrial Health Association. The 59th annual report. Kyoto Industrial Health Association, Kyoto, Japan, p. 52 (2012) (in Japanese).

16.

World Health Organization Western Pacific Region. The Asia–Pacific perspective. Sydney: International Association for the Study of Obesity Task Force; 2000. p. 15–21.

17.

Alberti KGMM, Eckel RH, Grundy SM, Zimmet PZ, Cleeman JI, Donato KA, et al. Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation. 2009;120:1640–5.PubMedCrossRef

18.

Lee KE, Klein BEK, Klein R. Familial aggregation of components of the multiple metabolic syndrome in the Framingham heart and offspring cohort: genetic analysis workshop problem I. http://biomedcentral.com/1471-2156/4/s1/1594. Accessed 28 March 2013.

19.

Millen BE, Pencina MJ, Kimokoti RW, Zhu L, Meigs JB, Ordovas JM, et al. Nutritional risk and the metabolic syndrome in women: opportunities for preventive intervention from the Framingham Nutrition Study. Am J Clin Nutr. 2006;84:434–41.PubMed

20.

Park HS, Park JY, Cho S-I. Familial aggregation of the metabolic syndrome in Korean families with adolescents. Atherosclerosis. 2006;186:215–21.PubMedCrossRef

21.

Chien KL, Hsu HC, Chen WJ, Chen MF, Su TC, Lee YT. Familial aggregation of metabolic syndrome among the Chinese: report from the Chin-Shan community family study. Diabetes Res Clin Pract. 2007;76:418–24.PubMedCrossRef

22.

Chiu Y-H, Lin W-Y, Wang P-E, Chen Y-D, Wang T–T, Warick J, et al. Population-based family case–control proband study on familial aggregation of metabolic syndrome: finding from Taiwanese people involved in Keelung community-based integrated screening (KCIS no. 5). Diabetes Res Clin Pract. 2007;75:348–56.PubMedCrossRef

23.

Kim HM, Kim DJ, Jung IH, Park C, Park J. Prevalence of the metabolic syndrome among Korean adults using the new International Diabetes Federation definition of the new abdominal obesity criteria for the Korean people. Diabetes Res Clin Pract. 2007;77:99–106.PubMedCrossRef

24.

Monden C. Partners in health? Exploring resemblance in health between partners in married and cohabiting couples. Sociol Health Illn. 2007;29:391–411.PubMedCrossRef

25.

Feng Y, Zang T, Xu X, Xu X. Familial aggregation of metabolic syndrome and its components in a large Chinese population. Obesity. 2008;16:125–9.PubMedCrossRef

26.

Di Castelnuovo A, Quacquaruccio G, Donati MB, de Gaetano G, Lacoviello L. Spousal concordance for major coronary risk factors: a systematic review and meta-analysis. Am J Epidemiol. 2009;169:1–8.PubMedCrossRef

27.

Matsuo T, Kim MK, Murotake Y, Numao S, Kim MJ, Ohkubo H, et al. Indirect lifestyle intervention through wives improves metabolic syndrome components in men. Int J Obs. 2010;34:136–45.CrossRef

28.

Kanzaki N, Kimura H. Relation between health checkup results and stages of behavior change and lifestyle: a comparison between workers in their 30s and 40s. Jpn J Rural Med. 2012;61:55–66 (in Japanese with English abstract).

29.

Arai H, Yamamoto A, Matsuzawa Y, Saito Y, Yamada N, Oikawa S, et al. Prevalence of metabolic syndrome in the general Japanese population in 2000. J Atherosol Thromb. 2006;13:202–8.CrossRef

30.

Miyatake N, Wada J, Kawasaki Y, Nishii K, Makino H, Numata T. Relationship between metabolic syndrome and cigarette smoking in the Japanese population. Intern Med. 2006. doi:10.2169/internalmedicine.45.1850.

31.

Li L, Wang L, Yamasaki M, Iwamoto M, Ikenishi R, Yoneyama T, et al. Prevalence of metabolic syndrome in rural community as defined by the Japanese Association of Internal Medicine and Ministry of Health, Labor and Welfare. Jpn J Rural Med. 2008;56:703–13 (in Japanese with English abstract).

32.

Oh J-Y, Sung Y-A, Hong YS, Barrett-Connor E. Prevalence and factor analysis of metabolic syndrome in an urban Korean population. Diabetes Care. 2004;27:2027–32.PubMedCrossRef

33.

Xu W-h, Ruan X-n, Fu X-j, Zhu Q-l, Zhang H, Bai Y, et al. Relevance of the metabolic syndrome in Pudong New Area of Shanghai using three proposed definitions among Chinese adults. BMC Public Health. 2010;10:246–56.PubMedCentralPubMedCrossRef

Titel: Significant but weak spousal concordance of metabolic syndrome components in Japanese couples
verfasst von: Tomoko Okuda
Tadayoshi Miyazaki
Sonoko Sakuragi
Jiro Moriguchi
Hiroshi Tachibana
Fumiko Ohashi
Masayuki Ikeda
Publikationsdatum: 01.03.2014
Verlag: Springer Japan
Erschienen in: Environmental Health and Preventive Medicine / Ausgabe 2/2014
Print ISSN: 1342-078X
Elektronische ISSN: 1347-4715
DOI: https://doi.org/10.1007/s12199-013-0361-7

Springer Medizin

Abstract

Objective

Methods

Results

Conclusions

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