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Reviews on Recent Clinical Trials

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ISSN (Print): 1574-8871
ISSN (Online): 1876-1038

Research Article

Gender-related Differences in Sedentary Behavior of Japanese Living Overseas in Malaysia

Author(s): Kazuhiro P. Izawa* and Koichiro Oka

Volume 15, Issue 3, 2020

Page: [214 - 218] Pages: 5

DOI: 10.2174/1574887115666200524235754

Price: $65

Abstract

Background: The purpose of the present study was to clarify the differences in social demographic factors and sedentary behavior by gender in Japanese living overseas in Malaysia.

Methods: First, 130 subjects were surveyed by self-entry questionnaire for statistical factors related to social demographics and sedentary behavior. These factors were age (years), gender (man/woman), body mass index (BMI, kg/m2), educational history (>13 years, %), employment (full-time or part-time, yes, %), alcohol intake (a certain amount, yes, %), smoking behavior (yes, %), and marital status (yes, %). BMI, as obtained from the participants’ weight and height, was collected from the self-reported questionnaire and assessed. Sitting behavior time as an index of sedentary behavior on workdays, non-workdays, and total time was identified by questionnaire. Data were analyzed using the chi square-test and t-test, respectively. The criterion for a statistically significant difference was p < 0.05.

Results: Finally, 107 subjects (68 men, 39 women) were analyzed. The ratios of social demographic factors of the men versus women group were age (58.5 ± 14.7 vs. 61.0 ± 12.1 years, p = 0.36), BMI (23.1 ± 2.6 vs. 21.8 ± 2.6 kg/m2, p = 0.01), educational history (86.7% vs. 56.4%, p < 0.001), employment (51.5% vs. 10.3%, p <0.001), alcohol intake (86.7% vs. 35.9%, p < 0.001), smoking behavior (30.9% vs. 10.3%, p = 0.01), and marital status (88.2% vs. 100%, p = 0.02). Sitting behavior time was 501.8 ± 254.6 vs. 346.0 ± 153.4 minutes (p < 0.001) on workdays, 415.1 ± 225.3 vs. 320.6 ± 178.7 minutes (p = 0.019) on non-workdays, and 458.5 ± 203.9 vs. 333.3 ± 132.1 minutes (p < 0.001) in total.

Conclusion: These findings indicated that social demographic factors and sitting behavior time differed by gender. However, there are some limitations. This was a cross-sectional study conducted in only one city with a small number of participants who completed a self-entry questionnaire. In conclusion, assessment of the differences in social demographic factors and postponement of sedentary behavior for both genders may reduce sitting behavior time in overseas Japanese residents and may help in developing public health strategies.

Keywords: Gender, social demographic factors, sedentary behavior, Japanese living overseas, Ipoh, Malaysia.

Graphical Abstract
[1]
The Outline of the “LongStay”. Long Stay Foundation. Available online: http://www.longstay.or.jp/english/about.html (accessed 2 July 2019).
[2]
Khor GL. Food availability and the rising obesity prevalence in Malaysia. International e-Journal of Science. Med Educ 2012; 6(Suppl. 1): S61-8.
[3]
NoorAni A, Rajini S, Balkish MN. Noraida, M.K.; SMaria, A.; Fadhli, M.Y.; Jabrullah, A.H.; Tahir, A.. Morbidity patterns and healthcare utilisation among older people in Malaysia: 1996-2015. Public Health 2018; 163: 105-12.
[http://dx.doi.org/10.1016/j.puhe.2018.06.018]
[4]
Ghazali SM, Seman Z, Cheong KC, et al. Sociodemographic factors associated with multiple cardiovascular risk factors among Malaysian adults. BMC Public Health 2015; 15: 68.
[http://dx.doi.org/10.1186/s12889-015-1432-z] [PMID: 25636327]
[5]
Chan YY, Lim KK, Lim KH, et al. Physical activity and overweight/obesity among Malaysian adults: Findings from the 2015 National Health and morbidity survey (NHMS). BMC Public Health 2017; 17(1): 733.
[http://dx.doi.org/10.1186/s12889-017-4772-z] [PMID: 28934939]
[6]
Oka K, Shibata A, Ishii K, Miyawaki R. Too much sitting among older adults: Prevalence, health hazards and action to reduce sedentary behavior. [Japanese with English abstract]. Stress Science Research 2014; 29: 20-7.
[http://dx.doi.org/10.5058/stresskagakukenkyu.29.20]
[7]
Biswas A, Oh PI, Faulkner GE, et al. Sedentary time and its association with risk for disease incidence, mortality, and hospitalization in adults: A systematic review and meta-analysis. Ann Intern Med 2015; 162(2): 123-32.
[http://dx.doi.org/10.7326/M14-1651] [PMID: 25599350]
[8]
Bauman A, Ainsworth BE, Sallis JF, et al. IPS Group. The descriptive epidemiology of sitting. A 20-country comparison using the International Physical Activity Questionnaire (IPAQ). Am J Prev Med 2011; 41(2): 228-35.
[http://dx.doi.org/10.1016/j.amepre.2011.05.003] [PMID: 21767731]
[9]
Izawa KP, Oka K, Watanabe S, et al. Gender-related differences in clinical characteristics and physiological and psychosocial outcomes of Japanese patients at entry into phase II cardiac rehabilitation. J Rehabil Med 2008; 40(3): 225-30.
[http://dx.doi.org/10.2340/16501977-0156] [PMID: 18292926]
[10]
Izawa KP, Shibata A, Ishii K, Miyawaki R, Oka K. Associations of low-intensity light physical activity with physical performance in community-dwelling elderly Japanese: A cross-sectional study. PLoS One 2017; 12(6): e0178654.
[http://dx.doi.org/10.1371/journal.pone.0178654] [PMID: 28598993]
[11]
Chau JY, van der Ploeg HP, Dunn S, Kurko J, Bauman AE. A tool for measuring workers’ sitting time by domain: The Workforce Sitting Questionnaire. Br J Sports Med 2011; 45(15): 1216-22.
[http://dx.doi.org/10.1136/bjsports-2011-090214] [PMID: 21947817]
[12]
Ishii K, Shibata A, Kurita S, et al. Validity and reliability of Japanese-language self-reported measures for assessing adults domain-specific sedentary time. J Epidemiol 2018; 28(3): 149-55.
[http://dx.doi.org/10.2188/jea.JE20170002] [PMID: 29093359]
[13]
Izawa KP, Oka K. Relation between sitting time and sociodemographic factors of Japanese living overseas. Southeast Asian J Trop Med Public Health 2017; 48: 1318-24.
[14]
Izawa KP, Oka K. Sedentary behavior and health-related quality of life among Japanese living overseas. Gerontol Geriatr Med 2018; 4: 2333721418808117.
[http://dx.doi.org/10.1177/2333721418808117] [PMID: 30386811]
[15]
Sasazuki S, Inoue M, Tsuji I, et al. Research Group for the Development and Evaluation of Cancer Prevention Strategies in Japan. Body mass index and mortality from all causes and major causes in Japanese: Results of a pooled analysis of 7 large-scale cohort studies. J Epidemiol 2011; 21(6): 417-30.
[http://dx.doi.org/10.2188/jea.JE20100180] [PMID: 21908941]
[16]
Honjo K, Iso H, Ikeda A, Inoue M, Tsugane S. JPHC Study Group. Education level and physical functional limitations among Japanese community residents-gender difference in prognosis from stroke. BMC Public Health 2009; 9: 131.
[http://dx.doi.org/10.1186/1471-2458-9-131] [PMID: 19426522]
[17]
Tsutsumi A, Kayaba K, Tsutsumi K, Igarashi M. Jichi Medical School Cohort Study Group. Association between job strain and prevalence of hypertension: a cross sectional analysis in a Japanese working population with a wide range of occupations: the Jichi Medical School cohort study. Occup Environ Med 2001; 58(6): 367-73.
[http://dx.doi.org/10.1136/oem.58.6.367] [PMID: 11351051]
[18]
Suzuki H, Kadota A, Okuda N, et al. NIPPON DATA2010 Research Group. Socioeconomic and lifestyle factors associated with depressive tendencies in general Japanese men and women: NIPPON DATA2010. Environ Health Prev Med 2019; 24(1): 37.
[http://dx.doi.org/10.1186/s12199-019-0788-6] [PMID: 31138144]
[19]
Tieges Z, Mead G, Allerhand M, et al. Sedentary behavior in the first year after stroke: A longitudinal cohort study with objective measures. Arch Phys Med Rehabil 2015; 96(1): 15-23.
[http://dx.doi.org/10.1016/j.apmr.2014.08.015] [PMID: 25220942]
[20]
Shirakawa T, Iso H, Yamagishi K, et al. Watching television and risk of mortality from pulmonary embolism among Japanese men and women: The JACC Study (Japan Collaborative Cohort). Circulation 2016; 134(4): 355-7.
[http://dx.doi.org/10.1161/CIRCULATIONAHA.116.023671] [PMID: 27462056]

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