<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">Health</journal-id><journal-title-group><journal-title>Health</journal-title></journal-title-group><issn pub-type="epub">1949-4998</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/health.2012.410129</article-id><article-id pub-id-type="publisher-id">Health-24075</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Medicine&amp;Healthcare</subject></subj-group></article-categories><title-group><article-title>
 
 
  Associations between muscular fitness and metabolic syndrome: Cross-sectional study of Japanese women and men
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>yumi</surname><given-names>Tanaka</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Zhen-Bo</surname><given-names>Cao</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Yoshinobu</surname><given-names>Saito</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Yoshitaka</surname><given-names>Kobori</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mitsuru</surname><given-names>Higuchi</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>Faculty of Sport Sciences, Waseda University, Saitama, Japan</addr-line></aff><aff id="aff3"><addr-line>Sports Medicine Research Center, Keio University, Kanagawa, Japan</addr-line></aff><aff id="aff1"><addr-line>Fujisawa City Health and Medical Foundation, Kanagawa, Japan</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>ayumi-t@fhmc.or.jp(YT)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>31</day><month>10</month><year>2012</year></pub-date><volume>04</volume><issue>10</issue><fpage>838</fpage><lpage>844</lpage><history><date date-type="received"><day>17</day>	<month>August</month>	<year>2012</year></date><date date-type="rev-recd"><day>16</day>	<month>September</month>	<year>2012</year>	</date><date date-type="accepted"><day>28</day>	<month>September</month>	<year>2012</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Metabolic syndrome (MetS) is a complex interrelated risk factor for cardiovascular disease and type 2 diabetes mellitus. High cardiorespiratory fitness is known to contribute to prevention of MetS. However, little is known regarding the association between muscular fitness and MetS in Japanese adults. The purpose of this study was to examine the associations between muscular fitness and MetS in Japanese women and men. This cross-sectional study included 335 women and 209 men aged 30 - 79 y. MetS was determined according to the 2009 criteria of the International Diabetes Federation. Muscular fitness was evaluated by muscular fitness composite score (MFS), which was determined using Z scores from grip strength and sit-ups. Participants were classified by MFS tertile into low, middle, and high MFS groups. We used multiple logistic regression analysis to estimate odds ratios for the incidence of MetS in each group. The prevalence of MFS was 27.2% in women and 27.3% in men. Adjusted odds ratios for MetS prevalence in the low, middle, and high MFS groups, after adjusting for age, smoking status, alcohol intake, and exercise habits, were 1.0 (referent), 0.90 (95% confidence interval [CI], 0.50 - 1.62), and 0.49 (95% CI, 0.25 - 0.94; P for trend = 0.03) in women; in men, they were 1.0 (referent), 0.49 (0.23 - 1.04), and 0.42 (0.18 - 0.97; P for trend = 0.04), respectively. Muscular fitness is inversely associated with the prevalence of MetS in Japanese women and men.
 
</p></abstract><kwd-group><kwd>Muscle Strength; Muscle Endurance; Muscular Fitness; Metabolic Syndrome</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. INTRODUCTION</title><p>Metabolic syndrome (MetS) is a clustering of central obesity and cardiovascular disease (CVD) risk factors, including abnormal blood pressure, lipids, and blood glucose [<xref ref-type="bibr" rid="scirp.24075-ref1">1</xref>]. Insulin resistance occurring as a result of visceral fat accumulation is a key factor in MetS and is considered a strong predictor of CVD events [<xref ref-type="bibr" rid="scirp.24075-ref2">2</xref>]. Over the past 2 decades, the prevalence of MetS has increased in Japan as well as in Western countries. Because individuals with MetS have an elevated risk of developing type 2 diabetes [3,4] and CVD [5,6], strategies to prevent an epidemic of this syndrome are urgently required [<xref ref-type="bibr" rid="scirp.24075-ref7">7</xref>].</p><p>The primary management approach for MetS is healthy lifestyle promotion such as increased physical activity and diet modification [<xref ref-type="bibr" rid="scirp.24075-ref8">8</xref>]. Because physical fitness (i.e., cardiorespiratory fitness [CRF] and muscular fitness) is primarily determined by physical activity, high physical fitness is thought to be effective for improving MetS. Previous studies have demonstrated an inverse association between CRF and MetS prevalence and suggested that CRF is an independent predictor of MetS incidence [9-11]. Compared with CRF, fewer studies have been conducted on the association between muscular fitness and MetS. While an inverse relationship between muscular strength and MetS has been previously illustrated in American [12,13], Australian [<xref ref-type="bibr" rid="scirp.24075-ref14">14</xref>], and European populations [<xref ref-type="bibr" rid="scirp.24075-ref15">15</xref>], this relationship has not been well studied in populations of Japanese adults [16-18], especially Japanese women. The purpose of this study was to examine the associations between muscular fitness and MetS in Japanese women and men.</p></sec><sec id="s2"><title>2. METHODS</title><sec id="s2_1"><title>2.1. Subjects</title><p>The subjects were 335 women and 209 men, aged 30 79 y, who underwent a baseline preventive medical examination and physical fitness tests between 2006 and 2010 and were recruited to participate in a training program for health promotion at Fujisawa City Health and Medical Center. All subjects provided written informed consent before enrollment in the study. This study was approved by the Ethics Committee of Waseda University and conducted in accordance with the spirit of the Declaration of Helsinki.</p></sec><sec id="s2_2"><title>2.2. Clinical Examination</title><p>All subjects received preventive medical examinations at the medical institution in Fujisawa City The exam included a measurement of height, body weight, waist circumference (WC), blood chemistry analyses (triglycerides, TG; high-density lipoprotein, HDL-c; fasting blood glucose, FPG), and resting blood pressure (BP; systolic blood pressure, SBP; diastolic blood presser, DBP). Body mass index (BMI) was calculated as body weight (kg) divided by height squared (m<sup>2</sup>), and WC was measured at the umbilicus with subjects in the standing position.</p></sec><sec id="s2_3"><title>2.3. Criteria for MetS</title><p>MetS was defined as meeting 3 or more of the following criteria [<xref ref-type="bibr" rid="scirp.24075-ref19">19</xref>]: abdominal obesity (WC ≥ 80 cm in women, WC ≥ 90 cm in men); high TG (≥150 mg/dL or taking medicine to lower TG); low HDL-c (&lt;50 mg/dL in women, &lt;40 mg/dL in men); high BP (SBP ≥ 130 mmHg or DBP ≥ 85 mmHg, or taking medicine to lower BP); and high FPG (≥100 mg/dL or taking medicine to lower FPG).</p></sec><sec id="s2_4"><title>2.4. Muscular Fitness</title><p>Grip strength test, used as a proxy for overall strength [<xref ref-type="bibr" rid="scirp.24075-ref20">20</xref>], was assessed using a handgrip dynamometer (EDD100PNR, Yagami, Nagoya, Japan) [<xref ref-type="bibr" rid="scirp.24075-ref21">21</xref>]. The subject stood with the arm completely extended and squeezed the dynamometer with maximum isometric effort. Grip strength was measured twice on each side. The best of the 4 grip measurements was use to characterize maximum muscle strength. To account for differences in body size, total handgrip was adjusted for body weight (kg).</p><p>Abdominal muscle endurance was evaluated by a situp test [<xref ref-type="bibr" rid="scirp.24075-ref21">21</xref>]. The subject started in a lying position with hands crossed over the chest, knees bent at a 90˚ angle, and heels and feet flat on the floor. The subject had to rise to a position with the elbows pointed forward until they touched the thighs. The total number of correctly performed and completed sit-ups within 30 s was counted.</p><p>Muscular fitness was evaluated by muscular fitness composite score (MFS), which was determined using Z scores from grip strength and sit-ups.</p></sec><sec id="s2_5"><title>2.5. Confounding Variables</title><p>Several confounding variables were included in the analyses: age (y), smoking status (current, former, never), daily alcohol intake (g/day), and exercise habits (never, once/wk, 2 - 3 times/wk, 4 - 5 times/wk, 6 - 7 times/wk). These variables were assessed by means of a questionnaire.</p></sec><sec id="s2_6"><title>2.6. Statistical Analysis</title><p>Measured and calculated values are presented as mean &#177; SD or number (%). Participants were classified by MFS tertile into low, middle, and high MFS groups. Analysis of variance was used for continuous variables with a normal distribution, the Kruskal-Wallis test was used for continuous variables with a non-normal distribution, and the chi-square test was used for categorical variables. The association of muscular fitness with the risk of having MetS was estimated using multiple logistic regression analysis adjusted for age (Model 1), and further adjusted for smoking status, alcohol intake, and exercise habits (Model 2). The data were analyzed with SPSS 19.0 for Windows (IBM Japan, Tokyo, Japan). The statistical significance level was set at P &lt; 0.05.</p></sec></sec><sec id="s3"><title>3. RESULTS</title><p><xref ref-type="table" rid="table1">Table 1</xref> shows the characteristics of individuals according to MFS level. Women with the highest MFS demonstrated a significantly lower body weight, BMI, WC, SBP, DBP, and TG level (P &lt; 0.05) and a higher Grip strength, Sit-ups, and HDL-c level (P &lt; 0.01). Men with the highest MFS were significantly younger and had a lower body weight, BMI, WC, and TG level (P &lt; 0.05) and higher Grip strength, Sit-ups, and HDL-c level (P &lt; 0.05). Women in the highest MFS tertile, but not men, had a lower prevalence of MetS.</p><p>Adjusted odds ratios (ORs) for MetS prevalence in the low, middle, and high MFS groups, after adjusting for age, were 1.0 (referent), 0.92 (95% confidence interval [CI]: 0.51 - 1.63), and 0.53 (95% CI, 0.28 - 0.99) (P for trend = 0.04) in women; in men, they were 1.0 (referent), 0.48 (95% CI, 0.23 - 1.01), and 0.42 (95% CI, 0.19 - 0.90) (P for trend = 0.02), respectively (<xref ref-type="fig" rid="fig1">Figure 1</xref>, Model 1). In addition, after further adjusting for smoking status, alcohol intake, and exercise habits, adjusted ORs were 1.0 (referent), 0.90 (95% CI, 0.50 - 1.62), and 0.49 (95% CI, 0.25 - 0.94) (P for trend = 0.03) in women; in men, they were 1.0 (referent), 0.49 (95% CI, 0.23 - 1.04), and 0.42 (95% CI, 0.18 - 0.97) (P for trend = 0.04), respectively (<xref ref-type="fig" rid="fig1">Figure 1</xref>, Model 2).</p><p><xref ref-type="table" rid="table2">Table 2</xref> shows age-adjusted and multivariate-adjusted ORs. In women, MFS was inversely associated with HDL-c and WC. Age-adjusted ORs for the highest versus lowest tertiles were 0.17 (95% CI, 0.05 - 0.60; P for</p></sec></body><back><ref-list><title>References</title><ref id="scirp.24075-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Grundy, S.M., Cleeman, J.I., Daniels, S.R., Donato, K.A., Eckel, R.H., Franklin, B.A., Gordon, D.J., Krauss, R.M., Savage, P.J., Smith, S.C. Jr., Spertus, J.A. and Costa, F. 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