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International Journal of Behavioral Medicine
Erschienen in: International Journal of Behavioral Medicine 4/2016

16.10.2015

Interrelationships Between Job Resources, Vigor, Exercise Habit, and Serum Lipids in Japanese Employees: a Multiple Group Path Analysis Using Medical Checkup Data

verfasst von: Kazuhiro Watanabe, Yasumasa Otsuka, Akiomi Inoue, Kenji Sakurai, Akiko Ui, Akinori Nakata

Erschienen in: International Journal of Behavioral Medicine | Ausgabe 4/2016

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Abstract

Background

Physical inactivity is one of the major risk factors for dyslipidemia and coronary heart disease. Job resources have been identified as determinants of employees’ vigor and physical activity habits.

Purpose

Our first purpose was to comprehensively analyze the series of relationships of job resources, through vigor and exercise habit (i.e., one aspect of physical activity), to serum lipid levels in a sample of Japanese employees in a manufacturing company. Our second purpose was to investigate sex differences in these relationships using a multiple-group path analysis.

Methods

Data were collected from 4543 employees (men = 4018, women = 525) during a medical checkup conducted in February and March 2012. Job resources (job control, skill utilization, suitable jobs, and meaningfulness of work), vigor, exercise habit, triglyceride, high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) were measured cross-sectionally.

Results

Job resources and vigor were positively associated with exercise habit in both sexes. Exercise habit was inversely associated with triglyceride (−0.03 in men and −0.01 in women, ps < 0.05) and LDL-C (−0.07 in both sexes, ps < 0.05). HDL-C was positively associated with exercise habit (0.03 in both sexes, ps < 0.05). There was no significant difference by sex in path coefficients, except for the covariance between suitable jobs and meaningfulness of work.

Conclusion

Higher levels of job resources were associated with greater vigor, leading to exercise habit, which in turn, improved serum lipid levels. Longitudinal studies are required to demonstrate causality.
Literatur
1.
2.
Lee IM, Shiroma EJ, Lobelo F, et al. Effect of physical inactivity on major non-communicable disease worldwide: an analysis of burden of disease and life expectancy. Lancet. 2012;380:219–29.CrossRefPubMedPubMedCentral
3.
4.
5.
Kujala UM, Mäkinen VP, Heinonen I, et al. Long-term leisure-time physical activity and serum metabolome. Circulation. 2013;127:340–8.CrossRefPubMed
6.
Igarashi Y. Effects of regular physical activity on serum lipid and lipoprotein in Japanese adults: a meta-analysis of randomized controlled trials. J Training Sci Exer Sport. 2012;24:57–67 (in Japanese).
7.
Kodama S, Tanaka S, Saito K, et al. Effect of aerobic exercise training on serum levels of high-density lipoprotein cholesterol: a meta- analysis. Arch Intern Med. 2007;167:999–1008.CrossRefPubMed
8.
Bauman AE, Sallis JF, Dzewaltowski D, et al. Toward a better understanding of the influence on physical activity: the role of determinants, correlates, causal variables, mediators, moderators, and confounders. Am J Prev Med. 2002;23:5–14.CrossRefPubMed
9.
Sallis JF, Owen N, Fisher EB. Ecological models of health behavior. In: Glanz K, Rimer BK, Viswanath K, editors. Health behavior and health education: theory, research, and practice. 4th ed. New York: Jossey-Bass A Wiley Imprint; 2008. p. 465–85.
10.
Ishii K, Shibata A, Oka K. Environmental, psychological, and social influences on physical activity among Japanese adults: structural equation modeling analysis. Int J Behav Nutr Phys Act. 2010;7:61.CrossRefPubMedPubMedCentral
11.
Oka K, Ishii K, Shibata A. A structural equation analysis of psychological, social, and environmental influences on physical activity among Japanese adults. J Sports Med Phys Fitness. 2011;60:89–97 (in Japanese).CrossRef
12.
Kelsey KS, DeVellis BM, Begum M, et al. Positive affect, exercise and self-reported health in blue-collar women. Am J Health Behav. 2006;30:199–207.CrossRefPubMed
13.
O’Connor PJ, Puetz TW. Chronic physical activity and feelings of energy and fatigue. Med Sci Sports Exerc. 2005;37:299–305.CrossRefPubMed
14.
Strijk JE, Proper KI, van Mechelen W, et al. Effectiveness of a worksite lifestyle intervention on vitality, work engagement, productivity, and sick leave: results of a randomized controlled trial. Scand J Work Environ Health. 2013;39:66–75.CrossRefPubMed
15.
Schaufeli WB, Bakker AB. Defining and measuring work engagement: bringing clarity to the concept. In: Bakker AB, Leiter MP, editors. Work engagement: a handbook of essential theory and research. New York: Psychology Press; 2010. p. 10–24.
16.
Shirom A, Toker S, Jacobson O, Balicer RD. Feeling vigorous and the risks of all-cause mortality, ischemic heart disease, and diabetes: a 20-year follow-up of healthy employees. Psychosom Med. 2010;72:727–33.CrossRefPubMed
17.
Bakker AB, Demerouti E. The job demands-resources model: state of the art. J Manag Psychol. 2007;22:309–28.CrossRef
18.
Hakanen JJ, Roodt G. Using the job demands-resources model to predict engagement: analyzing the conceptual model. In: Bakker AB, Leiter MP, editors. Work engagement: a handbook of essential theory and research. New York: Psychology Press; 2010. p. 85–101.
19.
Armon G, Shmuel S, Shirom A. The relationship of the job demands-control-support model with vigor across time: testing for reciprocality. Appl Psychol Health Well Being. 2012;4:276–98.CrossRefPubMed
20.
Nakamura S, Otsuka Y. Job resources enhance work engagement through positive affect and meaningful work among Japanese employees. In: Sarracino F, editor. The happiness compass: theories, actions and perspectives for well-being. New York: Nova Science Publishers, Inc.; 2013. p. 141–52.
21.
Inoue A, Kawakami N, Shimomitsu T, et al. Development of a short questionnaire to measure an extended set of job demands, job resources, and positive health outcomes: the new brief job stress questionnaire. Ind Health. 2014;52:175–89.CrossRefPubMedPubMedCentral
22.
23.
Fransson EI, Heikkilä K, Nyberg ST, et al. Job strain as a risk factor for leisure-time physical inactivity: an individual-participant meta-analysis of up to 170,000 men and women: the IPD-work consortium. Am J Epidemiol. 2012;176:1078–89.CrossRefPubMedPubMedCentral
24.
McEachan RR, Lawton RJ, Jackson C, et al. Evidence, theory and context: using intervention mapping to develop a worksite physical activity intervention. BMC Public Health. 2008;8:326.CrossRefPubMedPubMedCentral
25.
Lee JS, Kawakubo K, Kawamura H. Assessment of worksite health promotion environments. San Ei Shi. 2003;45:57–66 (in Japanese).
26.
Akishita M. Sex difference in atherosclerosis and the effects of hormone replacement therapy. J Jpn Coll Angiol. 2003;43:179–84 (in Japanese).
27.
Kodama K, Sasaki H, Shimazu Y. Trend of coronary heart disease and its relationship to risk factors in a Japanese population: a 26-year follow-up. Hiroshima/Nagasaki study. Jpn Circ J. 1990;54:414–21.CrossRefPubMed
28.
Shibata A, Oka K, Harada K, et al. Psychological, social, and environmental factors to meeting physical activity recommendations among Japanese adults. Int J Behav Nutr Phys Act. 2009;6:60.CrossRefPubMedPubMedCentral
29.
Shimomitsu T, Haratani T, Nakamura K, et al. Final development of the brief job stress questionnaire mainly used for assessment of the individuals. In: Kato M, editor. The Ministry of Labor sponsored grant for the prevention of work-related illness. Tokyo: Tokyo Medical University; 2000. p. 126–64 (in Japanese).
30.
Urashima M, Wada T, Fukumoto T, et al. Prevalence of metabolic syndrome in a 22,892 Japanese population and its associations with lifestyle. JMAJ. 2005;48:441–50.
31.
Bruckert E. Epidemiology of low HDL-cholesterol: results of studies and surveys. Eur Heart J Suppl. 2006;8:17–22.CrossRef
32.
Smith Jr SC. Multiple risk factors for cardiovascular disease and diabetes mellitus. Am J Med. 2007;120:S3–S11.CrossRefPubMed
33.
Singh V, Deedwamia P. Dyslipidemia in special populations: Asian Indians, African Americans, and Hispanics. Curr Atheroscler Rep. 2006;8:32–40.CrossRefPubMed
34.
Shirom A. Feeling energetic at work: on vigor’s antecedents. In: Bakker AB, Leiter MP, editors. Work engagement: a handbook of essential theory and research. New York: Psychology Press; 2010. p. 69–84.
35.
Hansen CJ, Stevens LC, Coast JR. Exercise duration and mood state: how much is enough to feel better? Health Psychol. 2001;20:267–75.CrossRefPubMed
36.
Puetz TW, O’Connor PJ, Dishman RK. Effects of chronic exercise on feelings of energy and fatigue: a quantitative synthesis. Psychol Bull. 2006;132:866–76.CrossRefPubMed
37.
Bize R, Johnson JA, Plotnikoff RC. Physical activity level and health-related quality of life in the general adult population: a systematic review. Prev Med. 2007;45:401–15.CrossRefPubMed
38.
Reed J, Buck S. The effect of regular aerobic exercise on positive-activated affect: a meta-analysis. J Sport Exerc Psychol. 2009;10:581–94.CrossRef
39.
Saavedra R, Kwun SK. Affective states in job characteristics theory. J Organ Behav. 2000;21:131–46.CrossRef
40.
Monda KL, Ballantyne CM, North KE. Longitudinal impact of physical activity on lipid profiles in middle-aged adults: the atherosclerosis risk in communities study. J Lipid Res. 2009;50:1685–91.CrossRefPubMedPubMedCentral
41.
Skoumas J, Pitsavos C, Panagiotakos DB, et al. Physical activity, high density lipoprotein cholesterol and other lipids levels, in men and women from the ATTICA study. Lipids Health Dis. 2003;2:3.CrossRefPubMedPubMedCentral
42.
Suzuki I, Yamamoto A, Komiya H. The effect of differing amounts of exercise training on physical fitness and serum lipids in middle-aged men and women. Adv Exerc Sports Physiol. 2003;9:61–7.
43.
Kouvonen A, Vahtera J, Oksanen T, et al. Chronic workplace stress and insufficient physical activity: a cohort study. Occup Environ Med. 2013;70:3–8.CrossRefPubMed
44.
Yoshikawa T, Kawakami N, Kogi K, et al. Development of a mental health action checklist for improving workplace environment as means of job stress prevention. San Ei Shi. 2007;49:127–42 (in Japanese).
45.
Schröer S, Haupt J, Pieper C. Evidence-based lifestyle interventions in the workplace—an overview. Occup Med. 2014;64:8–12.CrossRef
46.
Ishii K, Inoue S, Ohya Y, et al. Sociodemographic variation in the perception of barriers to exercise among Japanese adults. J Epidemiol. 2009;19:161–8.CrossRefPubMedPubMedCentral
47.
Halbesleben JRB. A meta-analysis of work engagement: relationships with burnout, demands, resources, and consequences. In: Bakker AB, Leiter MP, editors. Work engagement: a handbook of essential theory and research. New York: Psychology Press; 2010. p. 102–17.
Metadaten
Titel
Interrelationships Between Job Resources, Vigor, Exercise Habit, and Serum Lipids in Japanese Employees: a Multiple Group Path Analysis Using Medical Checkup Data
verfasst von
Kazuhiro Watanabe
Yasumasa Otsuka
Akiomi Inoue
Kenji Sakurai
Akiko Ui
Akinori Nakata
Publikationsdatum
16.10.2015
Verlag
Springer US
Erschienen in
International Journal of Behavioral Medicine / Ausgabe 4/2016
Print ISSN: 1070-5503
Elektronische ISSN: 1532-7558
DOI
https://doi.org/10.1007/s12529-015-9516-9

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