<?xml version="1.0" encoding="utf-8" ?>
<article xml:lang="en" article-type="research-article" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">
    <front>
        <journal-meta>
            <journal-id journal-id-type="publisher-id">PSJFS</journal-id>
            <journal-title-group>
                <journal-title>Potravinarstvo Slovak Journal of Food Sciences</journal-title>
                <abbrev-journal-title abbrev-type="pubmed">Potr. S. J. F. Sci.</abbrev-journal-title>
            </journal-title-group>
            <issn pub-type="ppub">1338-0230</issn>
            <issn pub-type="epub">1337-0960</issn>
            <publisher>
                <publisher-name>Association HACCP Consulting</publisher-name>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="publisher-id">PSJFS-14-1-8</article-id>
            <article-id pub-id-type="doi">10.5219/1236</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>ARTICLE</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>THE EFFECT OF PROCESSED TEMPEH GEMBUS TO HIGH SENSITIVITY C-REACTIVE PROTEIN (hsCRP) AND HIGH-DENSITY LIPOPROTEIN (HDL) LEVELS IN WOMEN WITH OBESITY</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <contrib-id contrib-id-type="orcid">http://orcid.org/0000-0001-9353-1166</contrib-id>
                    <name>
                        <surname>Wati</surname>
                        <given-names>Desti Ambar</given-names>
                    </name>
                    <xref ref-type="aff" rid="aff1" />
                </contrib>
                <contrib contrib-type="author">
                    <contrib-id contrib-id-type="orcid">http://orcid.org/0000-0001-7229-320X</contrib-id>
                    <name>
                        <surname>Nadia</surname>
                        <given-names>Fika Shafiana</given-names>
                    </name>
                    <xref ref-type="aff" rid="aff2" />
                </contrib>
                <contrib contrib-type="author">
                    <contrib-id contrib-id-type="orcid">http://orcid.org/0000-0003-2490-3872</contrib-id>
                    <name>
                        <surname>Isnawati</surname>
                        <given-names>Muflihah</given-names>
                    </name>
                    <xref ref-type="aff" rid="aff3" />
                </contrib>
                <contrib contrib-type="author">
                    <contrib-id contrib-id-type="orcid">http://orcid.org/0000-0002-6961-2780</contrib-id>
                    <name>
                        <surname>Sulchan</surname>
                        <given-names>Mohammad</given-names>
                    </name>
                    <xref ref-type="aff" rid="aff4" />
                </contrib>
                <contrib contrib-type="author">
                    <contrib-id contrib-id-type="orcid">http://orcid.org/0000-0001-8808-1826</contrib-id>
                    <name>
                        <surname>Afifah</surname>
                        <given-names>Diana Nur</given-names>
                    </name>
                    <xref ref-type="corresp" rid="cor1">&#x002A;</xref>
                </contrib>
                <aff id="aff1">
                    <institution>Desti Ambar Wati. Diponegoro University. Faculty of Medicine, Departement of Nutrition Science, Semarang, Indonesia 50275, Tel : +6285664870240, E-mail: destiambarwati.id@gmail.com</institution>
                </aff>
                <aff id="aff2">
                    <institution>Fika Shafiana Nadia. Diponegoro University. Faculty of Medicine, Departement of Nutrition Science, Semarang, Indonesia 50275, Tel : +6281233771354, E-mail: fikashafianan@gmail.com</institution>
                </aff>
                <aff id="aff3">
                    <institution>Muflihah Isnawati. Health Polytechnic Kemenkes of Semarang, Indonesia 50275, Tel : +628156613127, E-mail: isnawatisuwardi@gmail.com</institution>
                </aff>
                <aff id="aff4">
                    <institution>Mohammad Sulchan. Diponegoro University. Faculty of Medicine, Departement of Nutrition Science, Semarang, Indonesia 50275, Tel : +62816655235, E-mail : mohsulchan@gmail.com</institution>
                </aff>
            </contrib-group>
            <author-notes>
                <corresp id="cor1">
                    <label>&#x002A;</label>Corresponding author: Diana Nur Afifah. Diponegoro University. Faculty of Medicine, Nutrition Study Program, Semarang, Indonesia 50275, Tel : <phone>+6287770380468</phone>, E-mail : <email xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="d.nurafifah.dna@fk.undip.ac.id">d.nurafifah.dna@fk.undip.ac.id</email></corresp>
            </author-notes>
            <pub-date pub-type="ppub">
                <month>1</month>
                <year>2020</year>
            </pub-date>
            <volume>14</volume>
            <issue>1</issue>
            <fpage>8</fpage>
            <lpage>16</lpage>
            <history>
                <date date-type="received">
                    <day>14</day>
                    <month>11</month>
                    <year>2019</year>
                </date>
                <date date-type="accepted">
                    <day>18</day>
                    <month>1</month>
                    <year>2020</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>&#x00A9; Association HACCP Consulting. All rights reserved.</copyright-statement>
                <copyright-year>2020</copyright-year>
                <license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by-nc/3.0/">
                    <license-p>This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (<uri xlink:href="http://creativecommons.org/licenses/by-nc/3.0/">http://creativecommons.org/licenses/by-nc/3.0</uri>) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <abstract>
                <p>Obesity causes chronic inflammatory reaction is characterized by elevated levels of high sensitivity c-reactive protein (hscrp). Hscrp and hdl could be used as an early marker of cardiovascular disease risk. <italic>Tempeh gembus</italic> contain fiber, unsaturated fatty acids and antioxidants, which can reduce the inflammatory reaction. This study determines the effect of processed <italic>Tempeh gembus</italic> on hsCRP and HDL in obese women. This study included in experimental studies with randomized post-test only control group design involving 40 obese women aged 20 – 50 years. Subjects were randomized into two groups: a control group was given a standard diet low in calories 30 calories/kg body weight, and the treatment group was given a standard diet low in calories 30 calories/kg body weight and <italic>Tempeh gembus</italic> for 28 days. hsCRP and HDL levels were measured before and after the intervention, food intake was measured by using a 3 x 24-hour recall and physical activity (IPAQ form). HsCRP levels were measured using the ELISA method, whereas HDL levels were measured using the CHOD-PAP method. Wilcoxon test (hsCRP levels) and paired t-test (HDL levels) used to test differeces before and after intervention each group. Mann Whitney test (hsCRP levels) and independent sample test (HDL levels) used to test differeces before and after intervention between groups. There are differences in hsCRP levels before and after the intervention in the control group (<italic>p</italic> = 0.00) and the treatment group (<italic>p</italic> = 0.00). There are differences in HDL levels before and after the intervention in the control group (<italic>p</italic> = 0.00) and the treatment group (<italic>p</italic> = 0.00). There are differences in the decrease hsCRP levels between the two groups (<italic>p</italic> = 0.00). There are differences in the increase in HDL levels between the two groups (<italic>p</italic> = 0.03). <italic>Tempeh gembus</italic> 150 grams/day can decrease hsCRP levels and increase HDL levels in women with obesity.</p>
            </abstract>
            <kwd-group>
                <kwd>
                    <italic>Tempeh gembus</italic>
                </kwd>
                <kwd>hsCRP</kwd>
                <kwd>HDL</kwd>
                <kwd>women</kwd>
                <kwd>obesity</kwd>
            </kwd-group>
        </article-meta>
    </front>
<body>
    <sec sec-type="intro">
        <title>INTRODUCTION</title>
        <p>Obesity is excessive fat accumulation due to an
        imbalance between energy intake and energy released by
        the body so that it can interfere with health (<xref ref-type="bibr" rid="r52">WHO, 2016</xref>).
        Obesity is the cause of half the cases of hypertension that
        increases the risk of cardiovascular disease (<xref ref-type="bibr" rid="r43">Sizer and
        Whitney, 2017</xref>). Cardiovascular disease is caused by
        narrowing, blockage of coronary arteries and reduced
        elasticity of blood vessels due to atherosclerosis
        (<xref ref-type="bibr" rid="r21">Herrington et al., 2016</xref>). Atherosclerosis is a progressive
        disease, even estimated to have occurred since the age of
        10 – 20 years with the formation of fat streaks walking
        slowly and continues to grow by 3% per year since past
        the age of 20 years. Atherosclerosis occurs due to the
        interaction of various risk factors, including obesity,
        hypertension, diabetes mellitus, smoking habits, the aging
        process, atherogenic dyslipidemia, and pro-inflammatory
        conditions (<xref ref-type="bibr" rid="r8">Badimon, Robert and Gemma, 2011</xref>).</p>
        <p>Obesity can also lead to the occurrence of the reaction
        inflammation due to their secretion of cytokines and proinflamator
        (<xref ref-type="bibr" rid="r20">Harford et al., 2011</xref>). Inflammatory reactions
        cause damage to endothelial function resulting in an
        increase in stroke volume and cardiac output. Excessive
        adipose tissue causing chronic inflammatory reactions due
        to cytokine secretion and proinflamator by adipocyte cells
        are characterized by increased levels of high sensitivity
        C-reactive protein (hsCRP), Tumor Necrosis Factor (TNF-
        &#x3B1;), interferon-gamma (IFN &#x3B3;) and interleukin-6 (IL-6)
        (<xref ref-type="bibr" rid="r19">Guillen et al., 2008;</xref> <xref ref-type="bibr" rid="r30">Libby, Ridker and Maseri, 2002</xref>).
        hsCRP is a biomarker that is sensitive to the occurrence of
        inflammation in the body and is a strong predictor of the
        incidence of cardiovascular system disease (<xref ref-type="bibr" rid="r46">Tully et al.,
        2015</xref>). Increased levels of hsCRP in the long term
        indicates a process of chronic inflammation (<xref ref-type="bibr" rid="r37">Pravin and
        Devang, 2011</xref>).</p>
        <p>Increased adipose tissue in obesity is closely related to
        the consumption habits of foods that are high in fat and low in fiber. Excessive fat intake will affect adipose tissue
        especially visceral fat to express responses to various
        stimuli, one of which is an increase in the release of free
        fatty acids by adipose tissue which can stimulate increased
        secretion of very low density lipoprotein (VLDL) in the
        liver which in turn results in increased triglycerides, low
        density lipoprotein (LDL), and decreased high density
        lipoprotein (HDL) (<xref ref-type="bibr" rid="r48">Wang and Peng, 2011</xref>). Low HDL
        levels are not able to prevent the activation of proinflammatory
        mediators in the form of cytokines such as
        TNF-&#x3B1;, IL-6 and CRP. The results showed that subjects
        with HDL levels greater than 60 mg/dL had a lower risk of
        developing coronary heart disease because an increase of 1
        mg/dL HDL levels could reduce the risk of coronary heart
        disease by 2% in men and 3% in women (<xref ref-type="bibr" rid="r38">Rajagopal,
        Suresh and Alok, 2012</xref>).</p>
        <p>Prevention and management of cardiovascular disease
        can be done by optimizing the consumption of functional
        foods with high protein fermented foods that are suspected
        to be able to prevent cardiovascular disease (Bowen et al.,
        2018; <xref ref-type="bibr" rid="r7">Anand et al., 2016</xref>). <italic>Tempeh gembus</italic> is one of
        Indonesia's original food products made from fermented
        tofu-based fermentation that functions as a substrate then
        the tempeh mushroom (<italic>Rhizopus oligosporus</italic>) is added as
        a microorganism. The main content of <italic>Tempeh gembus</italic> is
        fiber. The fiber content in 100 grams of <italic>Tempeh gembus</italic> is
        3.93 grams, three times more than the fiber content in
        soybean <italic>Tempeh</italic> (<xref ref-type="bibr" rid="r44">Sulchan and Endang, 2007;</xref> <xref ref-type="bibr" rid="r29">Li, Qiao
        and Lu, 2012</xref>). High-fiber diet (&#x2265;25 grams of soluble fiber
        and &#x2265;47 grams of insoluble fiber) per day can reduce the
        risk by up to 50% of stroke in the population (<xref ref-type="bibr" rid="r12">Casiglia et
        al., 2013</xref>). Other research shows that the <italic>Tempeh gembus</italic>
        which is processed into snacks, namely <italic>Kerupuk Gembus</italic>
        contains quite high fiber as much as 54.4 – 67.4% (<xref ref-type="bibr" rid="r1">Afifah
        et al., 2019a</xref>). The fiber content in <italic>tempeh gembus</italic> has
        anti-inflammatory, anti-carcinogenic effects, can reduce
        gastrointestinal transit time which is good for treating
        diarrhea and constipation (<xref ref-type="bibr" rid="r18">Gropper, Smith, and Groff,
        2012</xref>). Fresh <italic>Tempeh gembus</italic> contains 1.87% fat, 11.09%
        fiber, 4.90% protein, 89.67% protein digestibility, 14.03%
        amino acids, 48.07% antioxidant activity, 0.05% genistein,
        and 0.07% daidzein (<xref ref-type="bibr" rid="r2">Afifah et al., 2019b</xref>). In addition
        <italic>Tempeh gembus</italic> also contains unsaturated fatty acids
        linoleic acid (21.51%), linolenic aid (1.82%) and oleic
        (16.72%) (<xref ref-type="bibr" rid="r14">Sulchan and Endang 2007;</xref> <xref ref-type="bibr" rid="r44">Sulchan and
        Rukmi 2007</xref>). Damanik et al. (<xref ref-type="bibr" rid="r14">2018</xref>) showed that the
        saturated fatty acid content in <italic>Tempeh gembus</italic> (12.55%)
        was higher than the saturated fatty acid in soybean
        (12.01%) and tofu residue (12.41%). The content of oleic
        acid in <italic>Tempeh gembus</italic> can suppress the production of
        pro-inflammatory cytokines. Giving <italic>Tempeh gembus</italic> in
        rats fed atherogenic diet can reduce hsCRP levels (<xref ref-type="bibr" rid="r15">Dewi et
        al., 2018</xref>). Research conducted by Noviana et al. (<xref ref-type="bibr" rid="r34">2018</xref>)
        on <italic>Tempeh gembus</italic> hydrolyzate which was given 5000
        ppm and 8000 ppm bromelin enzymes were able to
        prevent the microbial activity of <italic>S. aureus</italic>, <italic>B. subtilis</italic>, and
        <italic>S. mutans</italic>. <italic>Tempeh gembus</italic> also contains fibrinolytic
        protease-producing microbes, namely <italic>Bacillus pumilus</italic> 2 g
        (AB968524). Pure fibrinolytic enzymes from Bacillus
        pumilus 2 g are included in the serine protease group of
        subtilin which can degrade the &#x3B1; and &#x3B2; chains of
        fibrinogen quickly so that it has the potential to prevent
        cardiovascular (<xref ref-type="bibr" rid="r4">Afifah et al., 2014</xref>). <italic>Tempeh gembus</italic> has also been shown to reduce oxidative stress. Giving Tempeh
        as much as 25 g.kg<sup>-1</sup> of Sprague Dawley rats for 28 days
        on an atherogenic diet, can reduce levels of malonaldehyde
        and homocysteine. A significant decrease occurred in the
        administration of fresh <italic>Tempeh gembus</italic> and gembe
        gembus which were given bromelain enzyme
        25 ppm (<xref ref-type="bibr" rid="r28">Kurniasari et al., 2017</xref>). Giving <italic>Tempeh gembus</italic>
        with a dose of 8% and 12% for 5 weeks in experimental
        animals showed a decrease in levels of total cholesterol,
        LDL cholesterol and increased HDL (<xref ref-type="bibr" rid="r4">Afifah et al., 2014</xref>).</p>
        <sec>
            <title>Scientific hypothesis</title>
            <p>We investigate several hypotheses in our study:<list>
          <list-item>
            <p>a. Provision of processed <italic>Tempeh gembus</italic> affects the
              decrease in levels of high sensitivity c-reactive protein
              (hsCRP),</p>
          </list-item>
          <list-item>
            <p>b. Provision of processed <italic>Tempeh gembus</italic> has an effect
              on increasing levels of high density lipoprotein (HDL).</p>
          </list-item>
        </list></p>
        </sec>
    </sec>
    <sec sec-type="materials|methods">
        <title>MATERIAL AND METHODOLOGY</title>
        <p>This study is a true experimental study using a pre-post
        randomized control group design (<xref ref-type="bibr" rid="r42">Sastroasmoro and
        Ismael, 2011</xref>). Subjects were divided into two groups,
        namely the control group and the treatment group. The
        independent variable of this study was the administration
        of 150 grams of processed <italic>Tempeh gembus</italic> for 28 days
        while the dependent variable was the levels of hsCRP and
        HDL. Researchers have obtained Ethical Clearance from
        the Ethics Commission of the Faculty of Medicine at
        Sultan Agung University Semarang, Indonesia with
        number 33/I/2019/Bioethics Commission.</p>
        <p>The study was conducted in March 2019 on 40 female
        prisoners of Class II Penitentiary in the City of Semarang.
        Subject retrieval is done based on inclusion criteria,
        namely women aged 20-50 years, body mass index &#x2265;23
        kg.m<sup>-2</sup> , do not have a history or are undergoing liver
        disease, kidney, cancer, coronary heart disease, stroke, do
        not smoke, are willing to participate in this study by
        signing an informed consent .</p>
        <p>Physical activity level data were obtained through direct
        interviews using the IPAQ form and then calculated using
        the Physical Activity Level (PAL) formula (<xref ref-type="bibr" rid="r51">WHO, 2011</xref>).
        Categorizing the level of physical activity is light
        (1.40 – 1.69 units), moderate (1.70 – 1.99 units), and
        heavy (2.00 – 2.40 units). Data on Body Mass Index were
        obtained based on measurements of body weight and
        height. Data on nutrient intake was obtained through direct
        interviews using a food recall form and then analyzed
        using Nutrisurvey software.</p>
        <p>Determination of the subject of this study using
        consecutive sampling method, and found as many as 73
        people were willing to have blood drawn for the initial
        screening process. There were 40 subjects who met the
        inclusion criteria which were then divided into 2 groups:
        one control group and one treatment group with each
        group consisting of 20 subjects. The control group was
        given a diet limiting the intake of 30 calories/kg body
        weight/day while the treatment group as many as
        20 people were given a dietary intake limiting the intake of
        30 calories/kg body weight/day + processed 150 grams of
        <italic>Tempeh gembus</italic>/day. to the nutritional value (<xref ref-type="bibr" rid="r40">Redman and Ravussin, 2011</xref>).
        Limitation of food intake is given in stages as much as
        30 kcal.kg<sup>-1</sup> body weight/day through food menus
        provided by the correctional institution which refers to a
        low calorie diet for obesity by considering the gender and
        physical activity of the subject (<xref ref-type="bibr" rid="r47">Wahyuningsih, 2013</xref>).
        The Japan Atherosclerosis Society (JAS) recommends
        limiting food intake for obese subjects with mild physical
        activity levels of 25 – 30 kcal.kg<sup>-1</sup> body weight day,
        30 – 35 kcal.kg<sup>-1</sup> body weight/day for subjects with
        moderate physical activity levels and >35 kcal.kg<sup>-1</sup> body
        weight/day for subjects with heavy levels of physical
        activity (<xref ref-type="bibr" rid="r26">Kinoshita et al., 2017</xref>). Interventions in the two
        groups were carried out for 28 days.</p>
        <fig id="F1" position="float">
            <label>Figure 1</label>
            <caption>
                <p>Tofu waste fresh.</p>
            </caption>
            <graphic xlink:href="PSJFS-14-1-8_F1.jpg"/>
        </fig>
        <fig id="F2" position="float">
            <label>Figure 2</label>
            <caption>
                <p>Preparation of <italic>Tempeh Gembus</italic>.</p>
            </caption>
            <graphic xlink:href="PSJFS-14-1-8_F2.jpg"/>
        </fig>
        <fig id="F3" position="float">
            <label>Figure 3</label>
            <caption>
                <p>Addition <italic>Tempeh</italic> yeast.</p>
            </caption>
            <graphic xlink:href="PSJFS-14-1-8_F3.jpg"/>
        </fig>
        <fig id="F4" position="float">
            <label>Figure 4</label>
            <caption>
                <p><italic>Tempeh Gembus</italic> has been ermented for 36 hours.</p>
            </caption>
            <graphic xlink:href="PSJFS-14-1-8_F4.jpg"/>
        </fig>
        <fig id="F5" position="float">
            <label>Figure 5</label>
            <caption>
                <p><italic>Tempeh Gembus</italic> Balado.</p>
            </caption>
            <graphic xlink:href="PSJFS-14-1-8_F5.jpg"/>
        </fig>
        <fig id="F6" position="float">
            <label>Figure 6</label>
            <caption>
                <p><italic>Tempeh Gembus</italic> Oseng.</p>
            </caption>
            <graphic xlink:href="PSJFS-14-1-8_F6.jpg"/>
        </fig>
        <fig id="F7" position="float">
            <label>Figure 7</label>
            <caption>
                <p><italic>Tempeh Gembus</italic> Bacem.</p>
            </caption>
            <graphic xlink:href="PSJFS-14-1-8_F7.jpg"/>
        </fig>
        <fig id="F8" position="float">
            <label>Figure 8</label>
            <caption>
                <p><italic>Tempeh Gembus</italic> Pepes.</p>
            </caption>
            <graphic xlink:href="PSJFS-14-1-8_F8.jpg"/>
        </fig>
        <fig id="F9" position="float">
            <label>Figure 9</label>
            <caption>
                <p><italic>Tempeh Gembus</italic> Satay.</p>
            </caption>
            <graphic xlink:href="PSJFS-14-1-8_F9.jpg"/>
        </fig>
        <p>The independent variable of this study was the
        administration of 150 grams of processed <italic>Tempeh gembus</italic>.
        <italic>Tempeh gembus</italic> which will be given as treatment material
        is made by researchers and the team, in the Laboratory of
        Food Technology laboratory polytechnic health of
        Semarang using tofu waste obtained from tofu craftsmen food portions while still paying attention
        to the nutritional value (<xref ref-type="bibr" rid="r40">Redman and Ravussin, 2011</xref>).
        Limitation of food intake is given in stages as much as
        30 kcal.kg<sup>-1</sup> body weight/day through food menus
        provided by the correctional institution which refers to a
        low calorie diet for obesity by considering the gender and
        physical activity of the subject (<xref ref-type="bibr" rid="r47">Wahyuningsih, 2013</xref>).
        The Japan Atherosclerosis Society (JAS) recommends
        limiting food intake for obese subjects with mild physical
        activity levels of 25 – 30 kcal.kg<sup>-1</sup> body weight day,
        30 – 35 kcal.kg<sup>-1</sup> body weight/day for subjects with
        moderate physical activity levels and >35 kcal.kg<sup>-1</sup> body
        weight/day for subjects with heavy levels of physical
        activity (<xref ref-type="bibr" rid="r26">Kinoshita et al., 2017</xref>). Interventions in the two
        groups were carried out for 28 days.
        The independent variable of this study was the
        administration of 150 grams of processed <italic>Tempeh gembus</italic>.
        <italic>Tempeh gembus</italic> which will be given as treatment material
        is made by researchers and the team, in the Laboratory of
        Food Technology laboratory polytechnic health of
        Semarang using tofu waste obtained from tofu craftsmen
        in the Cinde-Lamper region of Semarang City, Tempeh
        yeast used is Raprima yeast. <italic>Tempeh gembus</italic> is processed
        into 5 types of cuisine, namely: bacem, satay, oseng,
        pepes, and balado.
        The dependent variable of this study is the levels of hsCRP
        and HDL. HsCRP levels were measured using the Enzyme
        Linked Immunosorbent Assay (ELISA) method
        (<xref ref-type="bibr" rid="r13">Crowther, 2009</xref>). Whereas HDL levels were measured
        by laboratory workers using the Cholesterol Oxidase-
        Peroxidase Aminoantipyrine Phenol (CHOD-PAP) method
        (<xref ref-type="bibr" rid="r32">McPherson and Pincus, 2016</xref>). Blood samples were
        taken by Semarang CITO Laboratory officials twice,
        namely on the first day before being given an intervention
        and 1 day after the intervention (the 29<sup>th</sup> day).</p>
        <sec>
            <title>Statistic analysis</title>
            <p>Data were analyzed using the version 16.0 of Statistical
          Package for the Social Sciences (SPSS). Differences in
          hsCRP levels before and after treatment were analyzed
          using the Wilcoxon test because the data were not normally distributed. Differences in treatment effect
          between the two groups were analyzed using the Mann
          Whitney test. Differences in HDL levels before and after
          treatment were analyzed using paired t-test because the
          data were normally distributed. Differences in treatment
          effect between the two groups were analyzed using the
          independent sample test.</p>
        </sec>
    </sec>
    <sec sec-type="results|discussion">
        <title>RESULTS AND DISCUSSION</title>
        <p>Subject characteristics consisting of age, level of physical
        activity, Body Mass Index before and after treatment are
        presented in Table <xref ref-type="table" rid="T1">1</xref>. All subjects in the study were in the
        age group of 21-50 years. The mean age in the control
        group (35.05 &#xB1;8.54 years) was lower than in the treatment
        group (36.50 &#xB1;9.37 years). The Mann Whitney test showed
        that there was no significant difference in age between
        groups (<italic>p</italic> = 0.64), so age was not a confounding variable
        in the study. The mean level of physical activity during the
        study in the control group (1.52 &#xB1;0.17 units) was higher
        than the treatment group (1.48 &#xB1;0.10 units). The Mann
        Whitney test showed that there was no difference in the
        average level of physical activity between groups
        (<italic>p</italic> = 0.84), so the level of physical activity was not a
        confounding variable in the study. Based on WHO (<xref ref-type="bibr" rid="r51">2011</xref>),
        the level of subject activity in this study was included in
        the mild category (1.40 – 1.69 unit).
        Table <xref ref-type="table" rid="T1">1</xref> also shows that the average Body Mass Index
        (BMI) before and after the study in the control group
        (30.00 &#xB1;5.61 kg.m<sup>-2</sup>; 29.63 &#xB1;5.42 kg.m<sup>-2</sup>) than the
        treatment group (28.22 &#xB1;2.49 kg.m<sup>-2</sup>; 27.32 &#xB1;2.50 kg.m<sup>-2</sup>).
        The Mann Whitney test showed that there was no
        difference in mean Body Mass Index before (<italic>p</italic> = 0.51) and
        after research (<italic>p</italic> = 0.16), confounding in the study.</p>
        <table-wrap id="T1" position="float">
            <label>Table 1</label>
            <caption>
                <p>Respondent Characteristics.</p>
            </caption>
            <table frame="hsides" rules="none" width="100%">
                <thead>
                    <tr>
                        <th rowspan="3">Respondent Characteristics</th>
                        <th colspan="4">Control Group</th>
                        <th colspan="4">Treatment Group</th>
                    </tr>
                    <tr>
                        <td colspan="8"><hr/></td>
                    </tr>
                    <tr>
                        <th/>
                        <th>Mean&#x00B1;<italic>SD</italic></th>
                        <th>Median</th>
                        <th>Min-Max</th>
                        <th>Mean&#x00B1;<italic>SD</italic></th>
                        <th>Median</th>
                        <th>Min&#x2013;Max</th>
                        <th>
                            <italic>p</italic>
                        </th>
                    </tr>
                    <tr>
                        <td colspan="9"><hr/></td>
                    </tr>
                </thead>
                <tbody>
                    <tr align="center">
                        <td align="left">Age (years)</td>
                        <td/>
                        <td>35.05 &#x00B1;8.54</td>
                        <td>34.00</td>
                        <td>21&#x2013;50</td>
                        <td>36.50 &#x00B1;9.37</td>
                        <td>39.00</td>
                        <td>21 &#x2013; 48</td>
                        <td>0.64<xref ref-type="table-fn" rid="T1FN1">&#x002A;</xref></td>
                    </tr>
                    <tr align="center">
                        <td align="left">Body Mass Index (kg.m<sup>-2</sup>)</td>
                        <td>Before</td>
                        <td>30.00&#x00B1;5.61</td>
                        <td>28.40</td>
                        <td>25.10&#x2013;47.67</td>
                        <td>28.22&#x00B1;2.49</td>
                        <td>27.73</td>
                        <td>25.08&#x2013;33.23</td>
                        <td>0.51<italic>&#x02A;</italic></td>
                    </tr>
                    <tr align="center">
                        <td align="left">Body Mass Index(kg.m<sup>-2</sup>)</td>
                        <td>After</td>
                        <td>29.63&#x00B1;5.42</td>
                        <td>27.99</td>
                        <td>25.00&#x2013;47.03</td>
                        <td>27.32&#x00B1;2.50</td>
                        <td>27.14</td>
                        <td>24.15&#x2013;32.47</td>
                        <td>0.16<xref ref-type="table-fn" rid="T1FN1">&#x002A;</xref></td>
                    </tr>
                    <tr align="center">
                        <td align="left">Level of physical activity (unit)</td>
                        <td>During</td>
                        <td>1.52&#x00B1;0.17</td>
                        <td>1.42</td>
                        <td>1.40&#x2013;1.79</td>
                        <td>1.48&#x00B1;0.10</td>
                        <td>1.43</td>
                        <td>1.40&#x2013;1.73</td>
                        <td>0.84<xref ref-type="table-fn" rid="T1FN1">&#x002A;</xref></td>
                    </tr>
                </tbody>
            </table>
            <table-wrap-foot>
                <fn id="T1FN1">
                    <p>Note: &#x002A; Mann Whitney test.</p>
                </fn>
            </table-wrap-foot>
        </table-wrap>
        <p>Table <xref ref-type="table" rid="T2">2</xref> shows data on energy, protein, fat and
        carbohydrate intake patterns before the study. The mean
        energy intake before the study in the control group
        (2306.96 &#xB1;545.24 kcal) was higher than in the treatment
        group (2057.70 &#xB1;241.06 kcal), the Mann Whitney test
        showed that there were significant differences in energy
        intake between groups (<italic>p</italic> = 0.01) so that energy intake
        before the study becomes confounding variable. The mean
        protein intake before the study in the control group
        (84.86 &#xB1;19.08 grams) was higher than the treatment group
        (72.59 &#xB1;19.16 grams), the independent sample test showed
        that there were significant differences in energy intake
        between groups (<italic>p</italic> = 0.04) so that protein intake before it
        can become confounding variables. The mean fat intake
        before the study in the control group (86.8 &#xB1;31.84 grams)
        was higher than the treatment group (60.57 &#xB1;18.75 grams),
        the independent sample test showed that there were
        significant differences in energy intake between groups
        (<italic>p</italic> = 0.00) so that fat intake before the study can be a
        confounding variable. The mean carbohydrate intake in the
        control group (296.79 &#xB1;77.45 gram) was higher than the
        treatment group (276.42 &#xB1;35.50 gram), but the
        independent sample test showed no difference in
        carbohydrate intake before the inter-group study (<italic>p</italic> = 0.29)
        so that carbohydrate intake before the study did not
        become a confounding variable.</p>
        <table-wrap id="T2" position="float">
            <label>Table 2</label>
            <caption>
                <p>Diet Before Research.</p>
            </caption>
            <table frame="hsides" rules="none" width="100%">
                <thead>
                    <tr>
                        <th rowspan="3">Respondent Characteristics</th>
                        <th colspan="3">Control Group</th>
                        <th colspan="4">Treatment Group</th>
                    </tr>
                    <tr>
                        <td colspan="7"><hr/></td>
                    </tr>
                    <tr>
                        <th>Mean&#x00B1;<italic>SD</italic></th>
                        <th>Median</th>
                        <th>Min-Max</th>
                        <th>Mean&#x00B1;<italic>SD</italic></th>
                        <th>Median</th>
                        <th>Min&#x2013;Max</th>
                        <th>
                            <italic>p</italic>
                        </th>
                    </tr>
                    <tr>
                        <td colspan="8"><hr/></td>
                    </tr>
                </thead>
                <tbody>
                    <tr align="center">
                        <td align="left">Energy (kcal)</td>
                        <td>2306.96&#x00B1;545.24</td>
                        <td>2284.65</td>
                        <td>916.40&#x2013;3328.10</td>
                        <td>2057.70&#x00B1;241.06</td>
                        <td>1954.68</td>
                        <td>1823.6 &#x2013; 2714.50</td>
                        <td>0.01<xref ref-type="table-fn" rid="T2FN1">&#x002A;</xref></td>
                    </tr>
                    <tr align="center">
                        <td align="left">Protein(grams)</td>
                        <td>84.86&#x00B1;19.08</td>
                        <td>87.90</td>
                        <td>45.90&#x2013;118.40</td>
                        <td>72.59&#x00B1;19.16</td>
                        <td>71.65</td>
                        <td>39.50&#x2013;111.30</td>
                        <td>0.04<xref ref-type="table-fn" rid="T2FN1">&#x02A;&#x002A;</xref></td>
                    </tr>
                    <tr align="center">
                        <td align="left">Fat (grams)</td>
                        <td>86.58&#x00B1;31.84</td>
                        <td>82.55</td>
                        <td>26.90&#x2013;131.30</td>
                        <td>60.57&#x00B1;18.75</td>
                        <td>59.41</td>
                        <td>30.80&#x2013;109.00</td>
                        <td>0.00<xref ref-type="table-fn" rid="T2FN1">&#x02A;&#x002A;</xref></td>
                    </tr>
                    <tr align="center">
                        <td align="left">Carbohydrate (grams)</td>
                        <td>296.79&#x00B1;77.45</td>
                        <td>289.90</td>
                        <td>122.00&#x2013;451.10</td>
                        <td>276.42&#x00B1;35.50</td>
                        <td>274.33</td>
                        <td>216.80&#x2013;364.70</td>
                        <td>0.29<xref ref-type="table-fn" rid="T2FN1">&#x02A;&#x002A;</xref></td>
                    </tr>
                </tbody>
            </table>
            <table-wrap-foot>
                <fn id="T2FN1">
                    <p>Note: &#x002A; Mann Whitney test; &#x002A;&#x002A; independent sample test.</p>
                </fn>
            </table-wrap-foot>
        </table-wrap>
        <p>Nutrient intake data subject control and treatment groups
        during the study are presented in Table <xref ref-type="table" rid="T3">3</xref>. Table <xref ref-type="table" rid="T3">3</xref> Based
        on average energy intake in the control group
        (1924.35 &#xB1;218.62 kcal) is higher than that of the treatment group (1883.81 &#xB1;187.89 kcal), independent sample test
        showed that there were no significant differences in energy
        intake between groups (<italic>p</italic> = 0.53) so that energy intake was
        not a confounding variable in the study. The mean protein
        intake in the control group (<italic>p</italic> = 0.53) was higher than the
        treatment group (96.21 &#xB1;10.93 gram), the independent
        sample test showed no significant differences in protein
        intake between groups (<italic>p</italic> = 0.53) so that protein intake is
        not a confounding variable in the study. The mean fat
        intake in the control group (42.76 &#xB1;4.85 grams) was higher
        than the treatment group (41.86 &#xB1;4.17 grams), the
        independent sample test showed no significant difference
        in fat intake between groups (<italic>p</italic> = 0.53) so that fat intake
        does not become a confounding variable in the study. The
        mean carbohydrate intake in the control group
        (288.611 &#xB1;32.75 grams) was higher than the treatment
        group (282.54 &#xB1;28.16 grams), the independent sample test
        showed no significant difference in carbohydrate intake
        between groups (<italic>p</italic> = 0.53) so that carbohydrate intake is
        not a confounding variable in the study.</p>
        <table-wrap id="T3" position="float">
            <label>Table 3</label>
            <caption>
                <p>Nutrition Intake During Research.</p>
            </caption>
            <table frame="hsides" rules="none" width="100%">
                <thead>
                    <tr>
                        <th rowspan="3">Respondent Characteristics</th>
                        <th colspan="3">Control Group</th>
                        <th colspan="4">Treatment Group</th>
                    </tr>
                    <tr>
                        <td colspan="7"><hr/></td>
                    </tr>
                    <tr>
                        <th>Mean&#x00B1;<italic>SD</italic></th>
                        <th>Median</th>
                        <th>Min-Max</th>
                        <th>Mean&#x00B1;<italic>SD</italic></th>
                        <th>Median</th>
                        <th>Min&#x2013;Max</th>
                        <th>
                            <italic>p</italic>
                        </th>
                    </tr>
                    <tr>
                        <td colspan="8"><hr/></td>
                    </tr>
                </thead>
                <tbody>
                    <tr align="center">
                        <td align="left">Energy (kcal)</td>
                        <td>1924.35&#x00B1;218.62</td>
                        <td>1955.07</td>
                        <td>1456.65&#x2013;2457.00</td>
                        <td>1883.81&#x00B1;187.89</td>
                        <td>1895.40</td>
                        <td>1512.81&#x2013;2299.05</td>
                        <td>0.53<xref ref-type="table-fn" rid="T3FN1">&#x02A;&#x002A;</xref></td>
                    </tr>
                    <tr align="center">
                        <td align="left">Protein(grams)</td>
                        <td>96.21&#x00B1;10.93</td>
                        <td>97.75</td>
                        <td>72.83&#x2013;122.85</td>
                        <td>94.19&#x00B1;9.39</td>
                        <td>94.77</td>
                        <td>75.64&#x2013;114.95</td>
                        <td>0.53<xref ref-type="table-fn" rid="T3FN1">&#x02A;&#x002A;</xref></td>
                    </tr>
                    <tr align="center">
                        <td align="left">Fat (grams)</td>
                        <td>42.76&#x00B1;4.85</td>
                        <td>43.45</td>
                        <td>32.37&#x2013;54.60</td>
                        <td>41.86&#x00B1;4.17</td>
                        <td>42.12</td>
                        <td>33.62&#x2013;51.09</td>
                        <td>0.53<xref ref-type="table-fn" rid="T3FN1">&#x02A;&#x002A;</xref></td>
                    </tr>
                    <tr align="center">
                        <td align="left">Carbohydrate (grams)</td>
                        <td>288.61<bold>&#x00B1;</bold>32.75</td>
                        <td>293.26</td>
                        <td>218.50&#x2013;368.55</td>
                        <td>282.54&#x00B1;28.16</td>
                        <td>284.31</td>
                        <td>226.92&#x2013;344.86</td>
                        <td>0.53<xref ref-type="table-fn" rid="T3FN1">&#x02A;&#x002A;</xref></td>
                    </tr>
                    <tr align="center">
                        <td align="left"><italic><italic>Tempeh gembus</italic></italic>(%)</td>
                        <td>0.00&#x00B1;0.00</td>
                        <td>0.00</td>
                        <td>0.00&#x2013;0.00</td>
                        <td>61.37&#x00B1;19.05</td>
                        <td>56.88</td>
                        <td>35.88&#x2013;94.90</td>
                        <td>0.00<xref ref-type="table-fn" rid="T3FN1">&#x02A;&#x002A;</xref></td>
                    </tr>
                </tbody>
            </table>
            <table-wrap-foot>
                <fn id="T3FN1">
                    <p>Note: &#x002A;&#x002A; independent sample test.</p>
                </fn>
            </table-wrap-foot>
        </table-wrap>
        <p>Table <xref ref-type="table" rid="T4">4</xref> shows the levels of hsCRP before and after the
        intervention. In the control group, the mean hsCRP level
        before the intervention was 7.31 &#xB1;0.75 mg.L<sup>-1</sup> whereas
        after the intervention the mean hsCRP level became
        5.65 &#xB1;0.88 mg.L<sup>-1</sup>. In the treatment group, the mean
        hsCRP level before intervention was 5.63 &#xB1;1.23 mg.L<sup>-1</sup>,
        whereas after the intervention was 3.69 &#xB1;1.35 mg.L<sup>-1</sup>.
        There was a significant difference between the mean levels
        of hsCRP before and after the intervention in the two
        groups (<italic>p</italic> = 0.00; <italic>p</italic> = 0.00). The mean hsCRP level before
        the intervention in the control group (7.31 &#xB1;0.75 mg.L<sup>-1</sup>)
        was higher than the treatment group (5.63 &#xB1;1.23 mg.L<sup>-1</sup>),
        there was a significant difference to the average hsCRP
        level before the intervention between the two group
        (<italic>p</italic> = 0.00). The mean hsCRP level after intervention in the
        control group (5.65 &#xB1;0.88 mg.L<sup>-1</sup>) was higher than the
        treatment group (3.69 &#xB1;1.35 mg.L<sup>-1</sup>), there was a
        significant difference to the average hsCRP level after the
        intervention between the two group (<italic>p</italic> = 0.00). There was
        a significant difference in the decrease in hsCRP levels
        after the intervention in both groups (<italic>p</italic> = 0.03).</p>
        <table-wrap id="T4" position="float">
            <label>Table 4</label>
            <caption>
                <p>hsCRP levels before and after the intervention.</p>
            </caption>
            <table frame="hsides" rules="none" width="100%">
                <thead>
                    <tr>
                        <th rowspan="3">hsCRP levels (mg.L<sup>-1</sup>)</th>
                        <th colspan="3">Control Group (n = 20)</th>
                        <th colspan="4">Treatment Group (n = 20)</th>
                    </tr>
                    <tr>
                        <td colspan="7"><hr/></td>
                    </tr>
                    <tr>
                        <th>Mean&#x00B1;<italic>SD</italic></th>
                        <th>Median</th>
                        <th>Min-Max</th>
                        <th>Mean&#x00B1;<italic>SD</italic></th>
                        <th>Median</th>
                        <th>Min&#x2013;Max</th>
                        <th>
                            <italic>p</italic>
                        </th>
                    </tr>
                    <tr>
                        <td colspan="8"><hr/></td>
                    </tr>
                </thead>
                <tbody>
                    <tr align="center">
                        <td align="left">Pre Intervention</td>
                        <td>7.31&#x00B1;0.75</td>
                        <td>7.15</td>
                        <td>6.20&#x2013;8.90</td>
                        <td>5.63<bold>&#x00B1;</bold>1.23</td>
                        <td>5.35</td>
                        <td>4.40&#x2013;9.30</td>
                        <td>0.00<xref ref-type="table-fn" rid="T4FN1">&#x002A;</xref></td>
                    </tr>
                    <tr align="center">
                        <td align="left">Post Intervention</td>
                        <td>5.65&#x00B1;0.88</td>
                        <td>5.60</td>
                        <td>4.40&#x2013;7.30</td>
                        <td>3.69&#x00B1;1.35</td>
                        <td>3.40</td>
                        <td>2.40&#x2013;7.70</td>
                        <td>0.00<xref ref-type="table-fn" rid="T4FN1">&#x002A;</xref></td>
                    </tr>
                    <tr align="center">
                        <td align="left">&#x394;</td>
                        <td>1.65&#x00B1;0.57</td>
                        <td>1.55</td>
                        <td>2.90&#x2013;0.20</td>
                        <td>1.94&#x00B1;0.29</td>
                        <td>2.00</td>
                        <td>2.40&#x2013;1.00</td>
                        <td>0.03<xref ref-type="table-fn" rid="T4FN1">&#x002A;</xref></td>
                    </tr>
                    <tr align="center">
                        <td align="left"><italic>p</italic></td>
                        <td colspan="3">0.00<xref ref-type="table-fn" rid="T4FN1">&#x02A;&#x02A;&#x02A;</xref></td>
                        <td colspan="3">0.00<xref ref-type="table-fn" rid="T4FN1">&#x02A;&#x02A;&#x02A;</xref></td>
                        <td/>
                    </tr>
                </tbody>
            </table>
            <table-wrap-foot>
                <fn id="T4FN1">
                    <p>Note : <italic>p</italic>-value&#x003C;0.05 = significant; &#x002A; Mann Whitney test; &#x002A;&#x002A;&#x002A; Wilcoxon.</p>
                </fn>
            </table-wrap-foot>
        </table-wrap>
        <p>In this study, the mean hsCRP level in the treatment
        group decreased by 1.94 &#xB1;0.29 mg.L<sup>-1</sup>. This shows that
        giving as much as 150 grams of <italic>Tempeh gembus</italic> per day
        for 28 days is effective in reducing levels of hsCRP. The
        decrease in hsCRP levels in the treatment group can be
        caused by the presence of fiber in <italic>Tempeh gembus</italic>. Low
        fiber intake can increase proinflammatory cytokines IL-6),
        TNF-&#x3B1;, and IL-18. Increasing IL-6 can consistently
        increase CRP levels. High fiber intake can reduce fat
        oxidation resulting in decreased inflammation. Fiber is a
        protective factor to counter increasing CRP levels (<xref ref-type="bibr" rid="r31">Ma et
        al., 2006</xref>). Other studies have shown that fiber in
        fermented soybeans can reduce cholesterol levels so that it
        contributes positively to the anti-inflammatory effect. The
        fiber in fermented soybean consists of several
        monosaccharides including glucose, arabinose, galactose,
        and uronic acid which are components of cellulose and
        non-cellulose polysaccharides. The main non-cellulose
        polysaccharide from soybean fiber is arabinogalactant. The
        positive effect on the anti-inflammatory effect can be seen
        significantly in decreasing the levels of C-Reactive Protein
        (<xref ref-type="bibr" rid="r24">Kim et al., 2014</xref>).</p>
        <p>Besides fiber, <italic>Tempeh gembus</italic> also contains antioxidants
        in the form of isoflavones (daidzein and genistein) and
        unsaturated fatty acids (oleic, linoleic and linolenic fatty
        acids) which include essential fatty acids (<xref ref-type="bibr" rid="r44">Sulchan and
        Endang 2007;</xref> <xref ref-type="bibr" rid="r45">Sulchan and Rukmi 2007</xref>). The antiinflammatory
        mechanism by isoflavones is carried out by
        inhibiting the NF-kB transcription system and modulating
        arachidonic acid (AA) metabolism and Nitric Oxide (NO)
        production by inhibiting protein levels and the activity of
        proinflammatory enzymes (phospholipase A2 (PLA2),
        lipoxygenase (LOX, COX-2, and iNOS) (<xref ref-type="bibr" rid="r23">Jie et al., 2016</xref>).
        This study is in line with other studies that show that
        interventions with soy-based foods can reduce high
        sensitivity levels of C-Reactive Protein by 25% (Kone,
        2014). Apart from isoflavones, antioxidant activity
        <italic>Tempeh gembus</italic> probably derived from amino
        acids/peptides bioactive. <italic>Tempeh gembus</italic> containing
        amino acids such as tyrosine, methionine, histidine, lysine,
        cysteine and tryptophan. Activity of antioxidants in
        soybean gembus with ABTS method was 63.14 &#xB1;1.16%
        (<xref ref-type="bibr" rid="r5">Agustina et al., 2018</xref>).</p>
        <p>Table <xref ref-type="table" rid="T5">5</xref> shows data on HDL levels before and after the
        intervention. In the control group, the mean HDL level
        before the intervention was 29.25 &#xB1;5.05 mg.dL<sup>-1</sup> whereas
        after the intervention the mean HDL level was
        35.45 &#xB1;3.79 mg.dL<sup>-1</sup>. In the treatment group, the mean
        HDL level before the intervention was
        32.50 &#xB1;5.62 mg.dL<sup>-1</sup> whereas after the intervention the
        average HDL level was 41.90 &#xB1;2.73 mg.dL<sup>-1</sup>. There was a
        significant difference between the mean HDL levels before
        and after the intervention in the two groups (<italic>p</italic> = 0.00;
        <italic>p</italic> = 0.00). The mean HDL levels before the intervention in
        the control group (29.25 &#xB1;5.05 mg.dL<sup>-1</sup>) were lower than
        the treatment group (32.50 &#xB1;5.62 mg.dL<sup>-1</sup>), there were no
        significant differences in the mean HDL levels before the
        intervention between both groups (<italic>p</italic> = 0.06). The mean
        HDL levels after the intervention in the control group
        (35.45 &#xB1;3.79 mg.dL<sup>-1</sup>) were lower than the treatment group
        (41.90 &#xB1;2.73 mg.dL<sup>-1</sup>), there were significant differences
        in the mean HDL after the intervention between the two
        groups (<italic>p</italic> = 0.00). There was a significant difference in the
        increase in HDL levels after the intervention in both
        groups (<italic>p</italic> = 0.00). In this study, the mean HDL levels in
        the treatment group increased by 9.40 &#xB1;4.48 mg.dL<sup>-1</sup>. The
        provision of 150 grams of processed Tempeh gembe for 28
        days is effective in increasing HDL levels in the treatment
        group.</p>
        <table-wrap id="T5" position="float">
            <label>Table 5</label>
            <caption>
                <p>HDL levels before and after the intervention.</p>
            </caption>
            <table frame="hsides" rules="none" width="100%">
                <thead>
                    <tr>
                        <th rowspan="3">HDL levels (mg/dL)</th>
                        <th colspan="3">Control Group (n = 20)</th>
                        <th colspan="4">Treatment Group (n = 20)</th>
                    </tr>
                    <tr>
                        <td colspan="7"><hr/></td>
                    </tr>
                    <tr>
                        <th>Mean&#x00B1;<italic>SD</italic></th>
                        <th>Median</th>
                        <th>Min-Max</th>
                        <th>Mean&#x00B1;<italic>SD</italic></th>
                        <th>Median</th>
                        <th>Min&#x2013;Max</th>
                        <th>
                            <italic>p</italic>
                        </th>
                    </tr>
                    <tr>
                        <td colspan="8"><hr/></td>
                    </tr>
                </thead>
                <tbody>
                    <tr align="center">
                        <td align="left">Pre Intervention</td>
                        <td>29.25&#x00B1;5.05</td>
                        <td>29.00</td>
                        <td>20.00&#x2013;38.00</td>
                        <td>32.50&#x00B1;5.62</td>
                        <td>34.00</td>
                        <td>21.00&#x2013;39.00</td>
                        <td>0.06<xref ref-type="table-fn" rid="T5FN1">&#x02A;&#x002A;</xref></td>
                    </tr>
                    <tr align="center">
                        <td align="left">Post Intervention</td>
                        <td>35.45&#x00B1;3.79</td>
                        <td>36.00</td>
                        <td>27.00&#x2013;42.00</td>
                        <td>41.90&#x00B1;2.73</td>
                        <td>42.00</td>
                        <td>36.00&#x2013;47.00</td>
                        <td>0.00<xref ref-type="table-fn" rid="T5FN1">&#x02A;&#x002A;</xref></td>
                    </tr>
                    <tr align="center">
                        <td align="left">&#x394;</td>
                        <td>6.20&#x00B1;2.35</td>
                        <td>6.00</td>
                        <td>2.00&#x2013;10.00</td>
                        <td>9.40&#x00B1;4.48</td>
                        <td>8.00</td>
                        <td>2.00&#x2013;20.00</td>
                        <td>0.00<xref ref-type="table-fn" rid="T5FN1">&#x02A;&#x002A;</xref></td>
                    </tr>
                    <tr align="center">
                        <td align="left"><italic>P</italic></td>
                        <td colspan="3">0.00<xref ref-type="table-fn" rid="T5FN1">&#x02A;&#x02A;&#x02A;&#x02A;</xref></td>
                        <td colspan="3">0.00<xref ref-type="table-fn" rid="T5FN1">&#x02A;&#x02A;&#x02A;&#x02A;</xref></td>
                        <td/>
                    </tr>
                </tbody>
            </table>
            <table-wrap-foot>
                <fn id="T5FN1">
                    <p>Note <italic>p</italic>-value&#x003C;0.05 = significant; &#x002A;&#x002A; independent sample test; &#x002A;&#x002A;&#x002A;&#x002A; paired <italic>t</italic> test.</p>
                </fn>
            </table-wrap-foot>
        </table-wrap>
        <p>The main content of <italic>Tempeh gembus</italic> is fiber. High fiber
        intake can increase the excretion of bile acids and
        cholesterol through feces thereby reducing bile acids to get
        back into the liver. The reduction of bile acids to the liver
        causes an increase in the use of cholesterol to bile acids so
        that it has an effect on increasing HDL (<xref ref-type="bibr" rid="r10">Buse, Kenneth
        and Harles, 2017</xref>). Besides fiber, the increase in HDL
        levels in the treatment group was due to the presence of
        flavonoids in <italic>Tempeh gembus</italic>. Flavonoids can increase the
        amount of Apolipoprotein A-1. Apolipoprotein A-1 acts as
        an enzyme cofactor for LCAT and as a ligand of
        interaction with lipoprotein receptors in tissues in HDL.
        An increase in Apolipoprotein A-1 is expected to increase
        HDL levels (<xref ref-type="bibr" rid="r18">Gropper, Smith, and Groff, 2012</xref>).
        According to the American Association of Clinical
        Endocrinologists (<xref ref-type="bibr" rid="r6">AACE, 2012</xref>) HDL levels of 60 mg.dL<sup>-1</sup> can reduce the risk of coronary heart disease
        (<xref ref-type="bibr" rid="r22">Jellinger et al, 2012</xref>). However, in this study there were
        no respondents with HDL levels reaching 60 mg.dL<sup>-1</sup> after
        the intervention. Increased levels of HDL that do not reach
        optimal values are caused by several factors, one of which
        is exercise (<xref ref-type="bibr" rid="r50">Whitney and Sharon, 2015</xref>). Other studies
        have shown that adult women who exercise regularly, such
        as aerobic exercise three times a week, can experience
        increased levels of HDL (<xref ref-type="bibr" rid="r48">Wang and Peng, 2011</xref>). WHO
        states that aerobic exercise performed by adults aged 18-64
        years with moderate intensity for 150 minutes/week or
        high intensity for 75 minutes/week can increase HDL
        levels and be beneficial for heart health (<xref ref-type="bibr" rid="r51">WHO, 2011</xref>).
        Regular exercise can improve the work function of
        Apolipoprotein A-1 as an HDL receptor in reducing
        cholesterol from blood vessel walls (<xref ref-type="bibr" rid="r25">Kingwell and
        Michael, 2013</xref>). In this study, respondents only did
        aerobics once a week so this might be the cause of HDL
        cholesterol levels not reaching optimal values. In addition
        to lack of exercise, respondents' physical activity is also
        included in the mild category. The types of activities most
        frequently carried out by respondents were sleeping,
        watching TV, sweeping, washing clothes, cooking and
        making batik.</p>
        <p>Changes in HDL and hsCRP levels also occurred in the
        control group. This is presumably due to the provision of
        restriction of food intake through a low calories diet of
        30 calories per kg body weight/day in the control group.
        Based on the results of the study, it is known that the
        control group's diet before the intervention was
        2306.96 kcal while during the intervention it decreased to
        1924.35 kcal.</p>
        <p>Changes in calorie intake resulted in an increase in HDL
        levels of 6.20 &#xB1;2.35 mg.dL<sup>-1</sup>, from 29.25 &#xB1;5.05 mg.dL<sup>-1</sup> to
        35.45 &#xB1;3.79 mg.dL<sup>-1</sup>. Foods that have been consumed will
        undergo metabolic processes and produce energy in the
        form of adenosine triphosphate (ATP) to carry out physical
        activity (<xref ref-type="bibr" rid="r41">Rodwell et al., 2018</xref>). When doing physical
        activity, energy needs will increase, so if glucose as the
        main energy source is insufficient there will be an increase
        in fat metabolism. This causes a decrease in body fat
        percentage and an increase in HDL cholesterol (<xref ref-type="bibr" rid="r50">Whitney
        and Sharon, 2015</xref>). Research on obese subjects shows that
        food intake restrictions affect changes in lipid profile,
        including increased levels of HDL (<xref ref-type="bibr" rid="r17">Fothergill et al.,
        2016</xref>). Food intake restrictions are also able to protect
        against age-related diseases including inflammation by
        reducing oxidative stress (<xref ref-type="bibr" rid="r35">Omodei and Luigi, 2011;</xref>
        <xref ref-type="bibr" rid="r39">Rebrin, Michael and Rajindal, 2011</xref>).</p>
        <p>Interventions in the form of limiting food intake in the
        control group also resulted in a decrease in hsCRP levels
        of 1.65 &#xB1;0.57 mg.L<sup>-1</sup>, from 7.31 &#xB1;0.75 mg.L<sup>-1</sup> to
        5.65 &#xB1;0.88 mg.L<sup>-1</sup>. A decrease in subject's hsCRP levels
        can be caused by a decrease in fat intake. It is known that
        the mean fat intake in the control group before the
        intervention is 86.58 &#xB1;31.84 grams to 42.76 &#xB1;4.85 grams
        after the intervention. Fat intake is excessive will affect
        visceral fat to express a response to various stimuli one of
        them is an increase in spending of free fatty acids by
        adipose tissue that can stimulate increased secretion of
        VLDL in the liver which in turn will result in an increase
        in triglycerides, LDL and decrease HDL (<xref ref-type="bibr" rid="r18">Gropper, Smith
        and Groff, 2012;</xref> <xref ref-type="bibr" rid="r48">Wang and Peng, 2011</xref>). This increase will trigger the release of HDL from the liver to carry
        cholesterol in the circulation (reverse cholesterol by hepatic lipase, thus reducing circulating HDL levels.</p>
        <p>As the result the reverse cholesterol transport process is transport).</p>
        <p>HDL is esterified into cholesterol esters which can be
        directly carried to the liver to be directly excreted or
        exchanged with triglycerides from VLDL and
        chylomicrons. When cholesterol esters are excessive,
        triglyceride-rich HDL (low density HDL) is broken down
        by hepatic lipase, thus reducing circulating HDL levels.
        As the result the reverse cholesterol transport process is
        reduced and cholesterol levels in the circulation and tissue
        increase (<xref ref-type="bibr" rid="r33">Murray, Granner and Rodwell, 2017</xref>). In one
        condition, an increase in excess cholesterol levels in the
        circulation causes an abnormal reaction that causes the
        activation of the scavenger macrophage. This macrophage
        is responsible for cleaning cholesterol and low-density HDL from circulation by phagocytosis. Macrophages that
        are full of cholesterol will then become foam cells that
        cause activation of pro-inflammatory cytokines (IL-1, IL-
        6, and TNF &#x3B1;). Activation of pro-inflammatory cytokines
        is an early sign of inflammation. Continued inflammation
        will cause CRP expenditure from the liver (<xref ref-type="bibr" rid="r36">Pitsavos et al.,
        2006</xref>). Other studies have shown that low fat intake can
        inhibit cytokine release and reduce levels of hsCRP in the
        blood (<xref ref-type="bibr" rid="r11">Camhi et al., 2010</xref>). This is due to adipose tissue
        reducing the expenditure of free fatty acids causing a
        decrease in total cholesterol, LDL, triglyceride levels and
        an increase in HDL that affect macrophages, thereby
        impacting on decreasing hsCRP levels (<xref ref-type="bibr" rid="r33">Murray, Granner
        and Rodwell, 2017</xref>).</p>
        <p>Intervention in the form of limiting long-term food intake
        has a very strong protective effect on the risk of
        atherosclerotic cardiovascular disease (CVD) as evidenced
        by a decrease in blood pressure, LDL cholesterol, hsCRP,
        IL-6, TNF-&#x3B1;, and an increase in HDL cholesterol levels
        (<xref ref-type="bibr" rid="r16">Dolinsky and Dyck, 2011</xref>). Restricted food intake has
        been shown to improve mitochondrial function, reduce
        oxidative stress and increase nitric oxide production
        involved in the prevention of atherosclerosis, reduction in
        blood pressure, weakening of left ventricular hypertrophy,
        resistance to myocardial ischemic injury and prevention of
        heart failure (<xref ref-type="bibr" rid="r49">Weiss and Luigi, 2011</xref>).</p>
    </sec>
    <sec sec-type="conclusion">
        <title>CONCLUSION</title>
        <p>The administration of processed <italic>Tempeh gembus</italic> for
        28 days can reduce high sensitivity c-reactive protein
        (hsCRP) by 1.93 mg.L<sup>-1</sup> and increase HDL levels by
        9.40 mg.dL<sup>-1</sup> in obese women in penitentiary class II
        Semarang city, Indonesia. Changes in hsCRP and HDL
        levels also occurred in the control group. This is thought to
        be due to a standard diet of 30 calories/kg body weight/day
        for 28 days.</p>
    </sec>
</body>
<back>
    <ack>
        <title>Acknowledgments:</title>
        <p>Semarang City Class II Women's Penitentiary Indonesia
        Directorate of Research and Community Service, Directorate
        General of Research and Development Strengthening,
        Ministry of Research, Technology and Higher Education of
        Indonesia who has funded this research through grants for
        Fiscal Year 2019 with Number 258-05/UN7.P43/PP/2019.</p>
    </ack>
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