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Hostility Modifies the Association between TV Viewing and Cardiometabolic Risk

Identifieur interne : 001102 ( Pmc/Checkpoint ); précédent : 001101; suivant : 001103

Hostility Modifies the Association between TV Viewing and Cardiometabolic Risk

Auteurs : Anthony Fabio [États-Unis] ; Chung-Yu Chen [États-Unis] ; Kevin H. Kim [États-Unis] ; Darin Erickson [États-Unis] ; David R. Jacobs [États-Unis] ; Janice C. Zgibor [États-Unis] ; Tammy Chung [États-Unis] ; Karen A. Matthews [États-Unis] ; Steven Sidney [États-Unis] ; Carlos Iribarren [États-Unis] ; Mark A. Pereira [États-Unis]

Source :

RBID : PMC:4094870

Abstract

Background. It was hypothesized that television viewing is predictive of cardiometabolic risk. Moreover, people with hostile personality type may be more susceptible to TV-induced negative emotions and harmful health habits which increase occurrence of cardiometabolic risk. Purpose. The prospective association of TV viewing on cardiometabolic risk was examined along with whether hostile personality trait was a modifier. Methods. A total of 3,269 Black and White participants in the coronary artery risk development in young adults (CARDIA) study were assessed from age 23 to age 35. A cross-lagged panel model at exam years 5, 10, 15, and 20, covering 15 years, was used to test whether hours of daily TV viewing predicted cardiometabolic risk, controlling confounding variables. Multiple group analysis of additional cross-lagged panel models stratified by high and low levels of hostility was used to evaluate whether the association was modified by the hostile personality trait. Results. The cross-lagged association of TV viewing at years 5 and 15 on clustered cardiometabolic risk score at years 10 and 20 was significant (B = 0.058 and 0.051), but not at 10 to 15 years. This association was significant for those with high hostility (B = 0.068 for exam years 5 to 10 and 0.057 for exam years 15 to 20) but not low hostility. Conclusion. These findings indicate that TV viewing is positively associated with cardiometabolic risk. Further, they indicate that hostility might be a modifier for the association between TV viewing and cardiometabolic risk.


Url:
DOI: 10.1155/2014/784594
PubMed: 25050178
PubMed Central: 4094870


Affiliations:


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PMC:4094870

Le document en format XML

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<name sortKey="Matthews, Karen A" sort="Matthews, Karen A" uniqKey="Matthews K" first="Karen A." last="Matthews">Karen A. Matthews</name>
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<nlm:aff id="I4">Departments of Psychiatry and Epidemiology, School of Medicine, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15261, USA</nlm:aff>
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<name sortKey="Iribarren, Carlos" sort="Iribarren, Carlos" uniqKey="Iribarren C" first="Carlos" last="Iribarren">Carlos Iribarren</name>
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<country xml:lang="fr">États-Unis</country>
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<name sortKey="Pereira, Mark A" sort="Pereira, Mark A" uniqKey="Pereira M" first="Mark A." last="Pereira">Mark A. Pereira</name>
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<country xml:lang="fr">États-Unis</country>
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<p>
<italic>Background</italic>
. It was hypothesized that television viewing is predictive of cardiometabolic risk. Moreover, people with hostile personality type may be more susceptible to TV-induced negative emotions and harmful health habits which increase occurrence of cardiometabolic risk.
<italic>Purpose</italic>
. The prospective association of TV viewing on cardiometabolic risk was examined along with whether hostile personality trait was a modifier.
<italic>Methods</italic>
. A total of 3,269 Black and White participants in the coronary artery risk development in young adults (CARDIA) study were assessed from age 23 to age 35. A cross-lagged panel model at exam years 5, 10, 15, and 20, covering 15 years, was used to test whether hours of daily TV viewing predicted cardiometabolic risk, controlling confounding variables. Multiple group analysis of additional cross-lagged panel models stratified by high and low levels of hostility was used to evaluate whether the association was modified by the hostile personality trait.
<italic>Results</italic>
. The cross-lagged association of TV viewing at years 5 and 15 on clustered cardiometabolic risk score at years 10 and 20 was significant (
<italic>B</italic>
= 0.058 and 0.051), but not at 10 to 15 years. This association was significant for those with high hostility (
<italic>B</italic>
= 0.068 for exam years 5 to 10 and 0.057 for exam years 15 to 20) but not low hostility.
<italic>Conclusion</italic>
. These findings indicate that TV viewing is positively associated with cardiometabolic risk. Further, they indicate that hostility might be a modifier for the association between TV viewing and cardiometabolic risk.</p>
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</TEI>
<pmc article-type="research-article">
<pmc-dir>properties open_access</pmc-dir>
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">J Obes</journal-id>
<journal-id journal-id-type="iso-abbrev">J Obes</journal-id>
<journal-id journal-id-type="publisher-id">JOBE</journal-id>
<journal-title-group>
<journal-title>Journal of Obesity</journal-title>
</journal-title-group>
<issn pub-type="ppub">2090-0708</issn>
<issn pub-type="epub">2090-0716</issn>
<publisher>
<publisher-name>Hindawi Publishing Corporation</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="pmid">25050178</article-id>
<article-id pub-id-type="pmc">4094870</article-id>
<article-id pub-id-type="doi">10.1155/2014/784594</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Research Article</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Hostility Modifies the Association between TV Viewing and Cardiometabolic Risk</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Fabio</surname>
<given-names>Anthony</given-names>
</name>
<xref ref-type="aff" rid="I1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="cor1">*</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Chung-Yu</given-names>
</name>
<xref ref-type="aff" rid="I1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kim</surname>
<given-names>Kevin H.</given-names>
</name>
<xref ref-type="aff" rid="I2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Erickson</surname>
<given-names>Darin</given-names>
</name>
<xref ref-type="aff" rid="I3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Jacobs</surname>
<given-names>David R.</given-names>
<suffix>Jr.</suffix>
</name>
<xref ref-type="aff" rid="I3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zgibor</surname>
<given-names>Janice C.</given-names>
</name>
<xref ref-type="aff" rid="I1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chung</surname>
<given-names>Tammy</given-names>
</name>
<xref ref-type="aff" rid="I4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Matthews</surname>
<given-names>Karen A.</given-names>
</name>
<xref ref-type="aff" rid="I4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sidney</surname>
<given-names>Steven</given-names>
</name>
<xref ref-type="aff" rid="I5">
<sup>5</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Iribarren</surname>
<given-names>Carlos</given-names>
</name>
<xref ref-type="aff" rid="I5">
<sup>5</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Pereira</surname>
<given-names>Mark A.</given-names>
</name>
<xref ref-type="aff" rid="I3">
<sup>3</sup>
</xref>
</contrib>
</contrib-group>
<aff id="I1">
<sup>1</sup>
Department of Epidemiology, Graduate School of Public Health, Epidemiology Data Coordinating Center, University of Pittsburgh, 130 DeSoto Street, 127 Parran Hall, Pittsburgh, PA 15261, USA</aff>
<aff id="I2">
<sup>2</sup>
Department of Psychology in Education, School of Education, University of Pittsburgh, Pittsburgh, PA 15261, USA</aff>
<aff id="I3">
<sup>3</sup>
Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN 55454, USA</aff>
<aff id="I4">
<sup>4</sup>
Departments of Psychiatry and Epidemiology, School of Medicine, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15261, USA</aff>
<aff id="I5">
<sup>5</sup>
Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA</aff>
<author-notes>
<corresp id="cor1">*Anthony Fabio:
<email>afabio@pitt.edu</email>
</corresp>
<fn fn-type="other">
<p>Academic Editor: Maria Luz Fernandez</p>
</fn>
</author-notes>
<pub-date pub-type="ppub">
<year>2014</year>
</pub-date>
<pub-date pub-type="epub">
<day>23</day>
<month>6</month>
<year>2014</year>
</pub-date>
<volume>2014</volume>
<elocation-id>784594</elocation-id>
<history>
<date date-type="received">
<day>26</day>
<month>2</month>
<year>2014</year>
</date>
<date date-type="rev-recd">
<day>5</day>
<month>5</month>
<year>2014</year>
</date>
<date date-type="accepted">
<day>6</day>
<month>5</month>
<year>2014</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright © 2014 Anthony Fabio et al.</copyright-statement>
<copyright-year>2014</copyright-year>
<license xlink:href="https://creativecommons.org/licenses/by/3.0/">
<license-p>This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
</license>
</permissions>
<abstract>
<p>
<italic>Background</italic>
. It was hypothesized that television viewing is predictive of cardiometabolic risk. Moreover, people with hostile personality type may be more susceptible to TV-induced negative emotions and harmful health habits which increase occurrence of cardiometabolic risk.
<italic>Purpose</italic>
. The prospective association of TV viewing on cardiometabolic risk was examined along with whether hostile personality trait was a modifier.
<italic>Methods</italic>
. A total of 3,269 Black and White participants in the coronary artery risk development in young adults (CARDIA) study were assessed from age 23 to age 35. A cross-lagged panel model at exam years 5, 10, 15, and 20, covering 15 years, was used to test whether hours of daily TV viewing predicted cardiometabolic risk, controlling confounding variables. Multiple group analysis of additional cross-lagged panel models stratified by high and low levels of hostility was used to evaluate whether the association was modified by the hostile personality trait.
<italic>Results</italic>
. The cross-lagged association of TV viewing at years 5 and 15 on clustered cardiometabolic risk score at years 10 and 20 was significant (
<italic>B</italic>
= 0.058 and 0.051), but not at 10 to 15 years. This association was significant for those with high hostility (
<italic>B</italic>
= 0.068 for exam years 5 to 10 and 0.057 for exam years 15 to 20) but not low hostility.
<italic>Conclusion</italic>
. These findings indicate that TV viewing is positively associated with cardiometabolic risk. Further, they indicate that hostility might be a modifier for the association between TV viewing and cardiometabolic risk.</p>
</abstract>
</article-meta>
</front>
<floats-group>
<fig id="fig1" orientation="portrait" position="float">
<label>Figure 1</label>
<caption>
<p>A cross-lagged panel model showing that TV viewing predicts increases in clustered cardiometabolic risk score for the whole population. Regression weights are standardized.
<italic>R</italic>
<sup>2</sup>
represents the estimated proportion of the assumed underlying continuous variable explained by the model. § Cardiometabolic risk 7 is a surrogate of cardiometabolic risk 5. *
<italic>P</italic>
< 0.05; **
<italic>P</italic>
< 0.01; ***
<italic>P</italic>
< 0.001.</p>
</caption>
<graphic xlink:href="JOBE2014-784594.001"></graphic>
</fig>
<fig id="fig2" orientation="portrait" position="float">
<label>Figure 2</label>
<caption>
<p>Two cross-lagged panel models showing the associations between duration of TV viewing and cardiometabolic risk are stronger for people with high hostility relative to those with low levels of hostility. Regression weights are standardized.
<italic>R</italic>
<sup>2</sup>
represents the estimated proportion of the assumed underlying continuous variable explained by the model. § Cardiometabolic risk 7 is a surrogate of cardiometabolic risk 5. *
<italic>P</italic>
< 0.05; **
<italic>P</italic>
< 0.01; ***
<italic>P</italic>
< 0.001.</p>
</caption>
<graphic xlink:href="JOBE2014-784594.002"></graphic>
</fig>
<table-wrap id="tab1" orientation="portrait" position="float">
<label>Table 1</label>
<caption>
<p>Demographic and behavioral distribution of participants by levels of hostility at baseline (Year 5), CARDIA, 1985. </p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" rowspan="2" colspan="1">Characteristic</th>
<th align="center" rowspan="1" colspan="1">Low hostility </th>
<th align="center" rowspan="1" colspan="1">High hostility</th>
<th align="center" rowspan="2" colspan="1">
<italic>P</italic>
value</th>
<th align="center" rowspan="1" colspan="1">Total (
<italic>N</italic>
= 3269)</th>
</tr>
<tr>
<th align="center" rowspan="1" colspan="1">(
<italic>N</italic>
= 1547) </th>
<th align="center" rowspan="1" colspan="1"> (
<italic>N</italic>
= 1722) </th>
<th align="center" rowspan="1" colspan="1">
<italic>N</italic>
(%) </th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" rowspan="1" colspan="1">Age (y)</td>
<td align="center" rowspan="1" colspan="1">30.4 ± 3.5
<sup>a</sup>
</td>
<td align="center" rowspan="1" colspan="1">29.4 ± 3.7</td>
<td align="center" rowspan="1" colspan="1"><0.001
<sup>c</sup>
</td>
<td align="center" rowspan="1" colspan="1">29.9 ± 3.6</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">A priori diet quality score</td>
<td align="center" rowspan="1" colspan="1">69.6 ± 11.7</td>
<td align="center" rowspan="1" colspan="1">63.8 ± 12</td>
<td align="center" rowspan="1" colspan="1"><0.001
<sup>c</sup>
</td>
<td align="center" rowspan="1" colspan="1">66.6 ± 12.2</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Physical activity score</td>
<td align="center" rowspan="1" colspan="1">377.2 ± 280.8</td>
<td align="center" rowspan="1" colspan="1">400.4 ± 310.8</td>
<td align="center" rowspan="1" colspan="1">0.03
<sup>c</sup>
</td>
<td align="center" rowspan="1" colspan="1">389.4 ± 297.2</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Sex </td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Male </td>
<td align="center" rowspan="1" colspan="1">660 (41.7)
<sup>b</sup>
</td>
<td align="center" rowspan="1" colspan="1">922 (58.3)</td>
<td align="center" rowspan="2" colspan="1"><0.001
<sup>d</sup>
</td>
<td align="center" rowspan="1" colspan="1">1582 (48.4)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Female </td>
<td align="center" rowspan="1" colspan="1">887 (52.6)</td>
<td align="center" rowspan="1" colspan="1">800 (47.4)</td>
<td align="center" rowspan="1" colspan="1">1687 (51.6)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Race </td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Black</td>
<td align="center" rowspan="1" colspan="1">514 (32.6)</td>
<td align="center" rowspan="1" colspan="1">1062 (67.4)</td>
<td align="center" rowspan="2" colspan="1"><0.001
<sup>d</sup>
</td>
<td align="center" rowspan="1" colspan="1">1576 (48.2)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> White </td>
<td align="center" rowspan="1" colspan="1">1033 (61.0)</td>
<td align="center" rowspan="1" colspan="1">660 (39.0)</td>
<td align="center" rowspan="1" colspan="1">1693 (51.8)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Highest education </td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> ≤12 years</td>
<td align="center" rowspan="1" colspan="1">168 (27.2)</td>
<td align="center" rowspan="1" colspan="1">450 (72.8)</td>
<td align="center" rowspan="2" colspan="1"><0.001
<sup>d</sup>
</td>
<td align="center" rowspan="1" colspan="1">618 (18.9)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> >12 years</td>
<td align="center" rowspan="1" colspan="1">1379 (52.0)</td>
<td align="center" rowspan="1" colspan="1">1272 (48.0)</td>
<td align="center" rowspan="1" colspan="1">2651 (81.1)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Family income (year) </td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> <24,999</td>
<td align="center" rowspan="1" colspan="1">471 (37.4)</td>
<td align="center" rowspan="1" colspan="1">788 (62.6)</td>
<td align="center" rowspan="3" colspan="1"><0.001
<sup>d</sup>
</td>
<td align="center" rowspan="1" colspan="1">1259 (38.5)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 25,000–49,999 </td>
<td align="center" rowspan="1" colspan="1">577 (48.2)</td>
<td align="center" rowspan="1" colspan="1">621 (51.8)</td>
<td align="center" rowspan="1" colspan="1">1198 (36.7)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> ≥50,000</td>
<td align="center" rowspan="1" colspan="1">499 (61.5)</td>
<td align="center" rowspan="1" colspan="1">313 (38.6)</td>
<td align="center" rowspan="1" colspan="1">812 (24.8)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Alcohol use (drinks/week) </td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 0</td>
<td align="center" rowspan="1" colspan="1">731 (50.5)</td>
<td align="center" rowspan="1" colspan="1">717 (49.5)</td>
<td align="center" rowspan="3" colspan="1"><0.001
<sup>d</sup>
</td>
<td align="center" rowspan="1" colspan="1">1866 (57.1)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 1–6 </td>
<td align="center" rowspan="1" colspan="1">562 (50.6)</td>
<td align="center" rowspan="1" colspan="1">549 (49.4)</td>
<td align="center" rowspan="1" colspan="1">1403 (42.9)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> ≥7 </td>
<td align="center" rowspan="1" colspan="1">254 (35.8)</td>
<td align="center" rowspan="1" colspan="1">456 (64.2)</td>
<td align="center" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Smoking status </td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">1448 (44.3)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Never </td>
<td align="center" rowspan="1" colspan="1">975 (52.3)</td>
<td align="center" rowspan="1" colspan="1">891 (47.8)</td>
<td align="center" rowspan="2" colspan="1"><0.001
<sup>d</sup>
</td>
<td align="center" rowspan="1" colspan="1">1111 (34.0)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Former/current </td>
<td align="center" rowspan="1" colspan="1">572 (40.8)</td>
<td align="center" rowspan="1" colspan="1">831 (59.2)</td>
<td align="center" rowspan="1" colspan="1">710 (21.7)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<sup>a</sup>
Mean ± SD (all such values).</p>
</fn>
<fn>
<p>
<sup>b</sup>
<italic>N</italic>
(%) (all such values).</p>
</fn>
<fn>
<p>
<sup>c</sup>
Results were tested by one-way ANOVA analysis.</p>
</fn>
<fn>
<p>
<sup>d</sup>
Results were tested by
<italic>χ</italic>
<sup>2</sup>
test.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tab2" orientation="portrait" position="float">
<label>Table 2</label>
<caption>
<p>Distribution of TV viewing, cardiometabolic risk variables, and physical activity score by hostility at examination year, CARDIA, 1985–2005.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" rowspan="2" colspan="1">
<break></break>
Variables </th>
<th align="center" rowspan="1" colspan="1"> Year 5</th>
<th align="center" rowspan="1" colspan="1">Year 10</th>
<th align="center" rowspan="1" colspan="1">Year 15</th>
<th align="center" rowspan="1" colspan="1">Year 20</th>
<th align="center" rowspan="1" colspan="1">Year 5 versus year 20</th>
</tr>
<tr>
<th align="center" rowspan="1" colspan="1">Mean ± SD</th>
<th align="center" rowspan="1" colspan="1">Mean ± SD</th>
<th align="center" rowspan="1" colspan="1">Mean ± SD</th>
<th align="center" rowspan="1" colspan="1">Mean ± SD</th>
<th align="center" rowspan="1" colspan="1">
<italic>P</italic>
value
<sup>b</sup>
</th>
</tr>
</thead>
<tbody>
<tr>
<td align="center" colspan="6" rowspan="1">Low hostility</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Exposure </td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Hours of TV viewing daily</td>
<td align="center" rowspan="1" colspan="1">1.9 ± 1.6</td>
<td align="center" rowspan="1" colspan="1">1.9 ± 1.5</td>
<td align="center" rowspan="1" colspan="1">1.8 ± 1.5</td>
<td align="center" rowspan="1" colspan="1">1.9 ± 1.6</td>
<td align="center" rowspan="1" colspan="1">0.60</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Outcome </td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Clustered cardiometabolic risk score</td>
<td align="center" rowspan="1" colspan="1">−0.4 ± 3.4
<sup>a</sup>
</td>
<td align="center" rowspan="1" colspan="1">0.04 ± 3.5</td>
<td align="center" rowspan="1" colspan="1">0.9 ± 3.8</td>
<td align="center" rowspan="1" colspan="1">1.6 ± 4.0</td>
<td align="center" rowspan="1" colspan="1"><0.001</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Waist circumference (cm)</td>
<td align="center" rowspan="1" colspan="1">81.9 ± 13.2</td>
<td align="center" rowspan="1" colspan="1">83.6 ± 13.6</td>
<td align="center" rowspan="1" colspan="1">87.6 ± 15.2</td>
<td align="center" rowspan="1" colspan="1">90.1 ± 14.9</td>
<td align="center" rowspan="1" colspan="1"><0.001</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Fasting glucose (ug/dL)</td>
<td align="center" rowspan="1" colspan="1">88.2 ± 10.2
<sup>a</sup>
</td>
<td align="center" rowspan="1" colspan="1">86.1 ± 10.7</td>
<td align="center" rowspan="1" colspan="1">84.6 ± 14.2</td>
<td align="center" rowspan="1" colspan="1">95.1 ± 17.7</td>
<td align="center" rowspan="1" colspan="1"><0.001</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Fasting insulin (uU/mL)</td>
<td align="center" rowspan="1" colspan="1">12.6 ± 7.7
<sup>a</sup>
</td>
<td align="center" rowspan="1" colspan="1">12.8 ± 9.5</td>
<td align="center" rowspan="1" colspan="1">13.5 ± 9.7</td>
<td align="center" rowspan="1" colspan="1">15.2 ± 9.5</td>
<td align="center" rowspan="1" colspan="1"><0.001</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Fasting triglycerides (mg/dL)</td>
<td align="center" rowspan="1" colspan="1">80.4 ± 76.7</td>
<td align="center" rowspan="1" colspan="1">85.1 ± 57.9</td>
<td align="center" rowspan="1" colspan="1">101.2 ± 92.3</td>
<td align="center" rowspan="1" colspan="1">105.9 ± 79.4</td>
<td align="center" rowspan="1" colspan="1"><0.001</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> HDL-cholesterol (mg/dL)</td>
<td align="center" rowspan="1" colspan="1">51.9 ± 13.4</td>
<td align="center" rowspan="1" colspan="1">50.4 ± 13.2</td>
<td align="center" rowspan="1" colspan="1">51 ± 13.1</td>
<td align="center" rowspan="1" colspan="1">54.9 ± 16.0</td>
<td align="center" rowspan="1" colspan="1">0.008</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Systolic blood pressure (mmHg)</td>
<td align="center" rowspan="1" colspan="1">106.3 ± 10.5</td>
<td align="center" rowspan="1" colspan="1">107.8 ± 10.9</td>
<td align="center" rowspan="1" colspan="1">110.2 ± 12.7</td>
<td align="center" rowspan="1" colspan="1">113.7 ± 13.9</td>
<td align="center" rowspan="1" colspan="1"><0.001</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Covariate</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Physical activity score </td>
<td align="center" rowspan="1" colspan="1">377.8 ± 280.8</td>
<td align="center" rowspan="1" colspan="1">340.4 ± 260.3</td>
<td align="center" rowspan="1" colspan="1">359.2 ± 284.9</td>
<td align="center" rowspan="1" colspan="1">365.9 ± 285.8</td>
<td align="center" rowspan="1" colspan="1">0.03</td>
</tr>
<tr>
<td align="center" colspan="6" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="center" colspan="6" rowspan="1">High hostility</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Exposure </td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Hours of TV viewing daily</td>
<td align="center" rowspan="1" colspan="1">3 ± 2.4</td>
<td align="center" rowspan="1" colspan="1">2.8 ± 2.3</td>
<td align="center" rowspan="1" colspan="1">2.7 ± 2.2</td>
<td align="center" rowspan="1" colspan="1">2.9 ± 2.7</td>
<td align="center" rowspan="1" colspan="1">0.15</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Outcome </td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Clustered cardiometabolic risk score</td>
<td align="center" rowspan="1" colspan="1">0.4 ± 3.5
<sup>a</sup>
</td>
<td align="center" rowspan="1" colspan="1">0.9 ± 3.6</td>
<td align="center" rowspan="1" colspan="1">1.7 ± 3.8</td>
<td align="center" rowspan="1" colspan="1">2.5 ± 3.9</td>
<td align="center" rowspan="1" colspan="1"><0.001</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Waist circumference (cm)</td>
<td align="center" rowspan="1" colspan="1">85 ± 13.9</td>
<td align="center" rowspan="1" colspan="1">86.9 ± 14.8</td>
<td align="center" rowspan="1" colspan="1">90.6 ± 15.3</td>
<td align="center" rowspan="1" colspan="1">93 ± 15.5</td>
<td align="center" rowspan="1" colspan="1"><0.001</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Fasting glucose (ug/dL)</td>
<td align="center" rowspan="1" colspan="1">89.9 ± 15.8
<sup>a</sup>
</td>
<td align="center" rowspan="1" colspan="1">88.2 ± 16.5</td>
<td align="center" rowspan="1" colspan="1">86.4 ± 18.4</td>
<td align="center" rowspan="1" colspan="1">99.2 ± 28.6</td>
<td align="center" rowspan="1" colspan="1"><0.001</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Fasting insulin (uU/mL)</td>
<td align="center" rowspan="1" colspan="1">14.5 ± 12.1
<sup>a</sup>
</td>
<td align="center" rowspan="1" colspan="1">14.2 ± 9.5</td>
<td align="center" rowspan="1" colspan="1">14.7 ± 11.6</td>
<td align="center" rowspan="1" colspan="1">16.7 ± 11.4</td>
<td align="center" rowspan="1" colspan="1"><0.001</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Fasting triglycerides (mg/dL)</td>
<td align="center" rowspan="1" colspan="1">83.7 ± 63.8</td>
<td align="center" rowspan="1" colspan="1">92.4 ± 80.4</td>
<td align="center" rowspan="1" colspan="1">102.7 ± 76.2</td>
<td align="center" rowspan="1" colspan="1">109.2 ± 76.2</td>
<td align="center" rowspan="1" colspan="1"><0.001</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> HDL-cholesterol (mg/dL)</td>
<td align="center" rowspan="1" colspan="1">51.6 ± 14.3</td>
<td align="center" rowspan="1" colspan="1">50 ± 14.6</td>
<td align="center" rowspan="1" colspan="1">49.9 ± 14.6</td>
<td align="center" rowspan="1" colspan="1">53 ± 16.7</td>
<td align="center" rowspan="1" colspan="1">0.02</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Systolic blood pressure (mmHg)</td>
<td align="center" rowspan="1" colspan="1">108.9 ± 11.2</td>
<td align="center" rowspan="1" colspan="1">110.2 ± 12.2</td>
<td align="center" rowspan="1" colspan="1">114.1 ± 14.4</td>
<td align="center" rowspan="1" colspan="1">117.2 ± 14.8</td>
<td align="center" rowspan="1" colspan="1"><0.001</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Covariate</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Physical activity score </td>
<td align="center" rowspan="1" colspan="1">400.4 ± 310.8</td>
<td align="center" rowspan="1" colspan="1">348.5 ± 295</td>
<td align="center" rowspan="1" colspan="1">358.2 ± 291.7</td>
<td align="center" rowspan="1" colspan="1">340.7 ± 277.2</td>
<td align="center" rowspan="1" colspan="1"><0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<sup>a</sup>
Results were assessed at year 7 but not at year 5.</p>
</fn>
<fn>
<p>
<sup>b</sup>
Results were tested by Wilcoxon signed-rank test for the median difference between year 20 and year 5.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tab3" orientation="portrait" position="float">
<label>Table 3</label>
<caption>
<p>Correlations between TV viewing and cardiometabolic risk variables by hostility, CARDIA, 1985–2005.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" rowspan="1" colspan="1">Low hostility</th>
<th align="center" rowspan="1" colspan="1">Clustered 10</th>
<th align="center" rowspan="1" colspan="1">WST 10</th>
<th align="center" rowspan="1" colspan="1">HOMA 10
<sup>b</sup>
</th>
<th align="center" rowspan="1" colspan="1">TRI 10
<sup>b</sup>
</th>
<th align="center" rowspan="1" colspan="1">HDL 10</th>
<th align="center" rowspan="1" colspan="1">SBP 10</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" rowspan="1" colspan="1">TV viewing 5</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> r
<sup>a</sup>
</td>
<td align="center" rowspan="1" colspan="1">0.14∗∗∗</td>
<td align="center" rowspan="1" colspan="1">0.16∗∗∗</td>
<td align="center" rowspan="1" colspan="1">0.19∗∗∗</td>
<td align="center" rowspan="1" colspan="1">0.02</td>
<td align="center" rowspan="1" colspan="1">−0.04</td>
<td align="center" rowspan="1" colspan="1">0.11∗∗∗</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<italic>P</italic>
value</td>
<td align="center" rowspan="1" colspan="1"><0.001</td>
<td align="center" rowspan="1" colspan="1"><0.001</td>
<td align="center" rowspan="1" colspan="1"><0.001</td>
<td align="center" rowspan="1" colspan="1">0.39</td>
<td align="center" rowspan="1" colspan="1">0.17</td>
<td align="center" rowspan="1" colspan="1"><0.001</td>
</tr>
<tr>
<td align="center" colspan="7" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Low hostility</td>
<td align="center" rowspan="1" colspan="1">Clustered 15</td>
<td align="center" rowspan="1" colspan="1">WST 15</td>
<td align="center" rowspan="1" colspan="1">HOMA 15
<sup>b</sup>
</td>
<td align="center" rowspan="1" colspan="1">TRI 15
<sup>b</sup>
</td>
<td align="center" rowspan="1" colspan="1">HDL 15</td>
<td align="center" rowspan="1" colspan="1">SBP 15</td>
</tr>
<tr>
<td align="center" colspan="7" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">TV viewing 10</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> r</td>
<td align="center" rowspan="1" colspan="1">0.22∗∗∗</td>
<td align="center" rowspan="1" colspan="1">0.21∗∗∗</td>
<td align="center" rowspan="1" colspan="1">0.22∗∗∗</td>
<td align="center" rowspan="1" colspan="1">0.08∗∗</td>
<td align="center" rowspan="1" colspan="1">−0.08∗∗</td>
<td align="center" rowspan="1" colspan="1">0.16∗∗∗</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<italic>P</italic>
value</td>
<td align="center" rowspan="1" colspan="1"><0.001</td>
<td align="center" rowspan="1" colspan="1"><0.001</td>
<td align="center" rowspan="1" colspan="1"><0.001</td>
<td align="center" rowspan="1" colspan="1">0.008</td>
<td align="center" rowspan="1" colspan="1">0.009</td>
<td align="center" rowspan="1" colspan="1"><0.001</td>
</tr>
<tr>
<td align="center" colspan="7" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Low hostility</td>
<td align="center" rowspan="1" colspan="1">Clustered 20</td>
<td align="center" rowspan="1" colspan="1">WST 20</td>
<td align="center" rowspan="1" colspan="1">HOMA 20
<sup>b</sup>
</td>
<td align="center" rowspan="1" colspan="1">TRI 20
<sup>b</sup>
</td>
<td align="center" rowspan="1" colspan="1">HDL 20</td>
<td align="center" rowspan="1" colspan="1">SBP 20</td>
</tr>
<tr>
<td align="center" colspan="7" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">TV viewing 15
<break></break>
</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> r</td>
<td align="center" rowspan="1" colspan="1">0.22∗∗∗</td>
<td align="center" rowspan="1" colspan="1">0.23∗∗∗</td>
<td align="center" rowspan="1" colspan="1">0.21∗∗∗</td>
<td align="center" rowspan="1" colspan="1">0.06∗</td>
<td align="center" rowspan="1" colspan="1">−0.11∗∗∗</td>
<td align="center" rowspan="1" colspan="1">0.16∗∗∗</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<italic>P</italic>
value</td>
<td align="center" rowspan="1" colspan="1"><0.001</td>
<td align="center" rowspan="1" colspan="1"><0.001</td>
<td align="center" rowspan="1" colspan="1"><0.001</td>
<td align="center" rowspan="1" colspan="1">0.05</td>
<td align="center" rowspan="1" colspan="1"><0.001</td>
<td align="center" rowspan="1" colspan="1"><0.001</td>
</tr>
<tr>
<td align="center" colspan="7" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">High hostility</td>
<td align="center" rowspan="1" colspan="1">Clustered 10</td>
<td align="center" rowspan="1" colspan="1">WST 10</td>
<td align="center" rowspan="1" colspan="1">HOMA 10
<sup>b</sup>
</td>
<td align="center" rowspan="1" colspan="1">TRI 10
<sup>b</sup>
</td>
<td align="center" rowspan="1" colspan="1">HDL 10</td>
<td align="center" rowspan="1" colspan="1">SBP 10</td>
</tr>
<tr>
<td align="center" colspan="7" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">TV viewing 5</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> r</td>
<td align="center" rowspan="1" colspan="1">0.12∗∗∗</td>
<td align="center" rowspan="1" colspan="1">0.12∗∗∗</td>
<td align="center" rowspan="1" colspan="1">0.14∗∗∗</td>
<td align="center" rowspan="1" colspan="1">0.03</td>
<td align="center" rowspan="1" colspan="1">0.02</td>
<td align="center" rowspan="1" colspan="1">0.11∗∗∗</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<italic>P</italic>
value</td>
<td align="center" rowspan="1" colspan="1"><0.001</td>
<td align="center" rowspan="1" colspan="1"><0.001</td>
<td align="center" rowspan="1" colspan="1"><0.001</td>
<td align="center" rowspan="1" colspan="1">0.19</td>
<td align="center" rowspan="1" colspan="1">0.46</td>
<td align="center" rowspan="1" colspan="1"><0.001</td>
</tr>
<tr>
<td align="center" colspan="7" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">High hostility</td>
<td align="center" rowspan="1" colspan="1">Clustered 15</td>
<td align="center" rowspan="1" colspan="1">WST 15</td>
<td align="center" rowspan="1" colspan="1">HOMA 15
<sup>b</sup>
</td>
<td align="center" rowspan="1" colspan="1">TRI 15
<sup>b</sup>
</td>
<td align="center" rowspan="1" colspan="1">HDL 15</td>
<td align="center" rowspan="1" colspan="1">SBP 15</td>
</tr>
<tr>
<td align="center" colspan="7" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">TV viewing 10</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> r</td>
<td align="center" rowspan="1" colspan="1">0.14∗∗∗</td>
<td align="center" rowspan="1" colspan="1">0.12∗∗∗</td>
<td align="center" rowspan="1" colspan="1">0.14∗∗∗</td>
<td align="center" rowspan="1" colspan="1">0.02</td>
<td align="center" rowspan="1" colspan="1">−0.01</td>
<td align="center" rowspan="1" colspan="1">0.15∗∗∗</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<italic>P</italic>
value</td>
<td align="center" rowspan="1" colspan="1"><0.001</td>
<td align="center" rowspan="1" colspan="1"><0.001</td>
<td align="center" rowspan="1" colspan="1"><0.001</td>
<td align="center" rowspan="1" colspan="1">0.57</td>
<td align="center" rowspan="1" colspan="1">0.67</td>
<td align="center" rowspan="1" colspan="1"><0.001</td>
</tr>
<tr>
<td align="center" colspan="7" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">High hostility</td>
<td align="center" rowspan="1" colspan="1">Clustered 20</td>
<td align="center" rowspan="1" colspan="1">WST 20</td>
<td align="center" rowspan="1" colspan="1">HOMA 20
<sup>b</sup>
</td>
<td align="center" rowspan="1" colspan="1">TRI 20
<sup>b</sup>
</td>
<td align="center" rowspan="1" colspan="1">HDL 20</td>
<td align="center" rowspan="1" colspan="1">SBP 20</td>
</tr>
<tr>
<td align="center" colspan="7" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">TV viewing 15</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> r</td>
<td align="center" rowspan="1" colspan="1">0.16∗∗∗</td>
<td align="center" rowspan="1" colspan="1">0.12∗∗∗</td>
<td align="center" rowspan="1" colspan="1">0.13∗∗∗</td>
<td align="center" rowspan="1" colspan="1">0.05</td>
<td align="center" rowspan="1" colspan="1">−0.02</td>
<td align="center" rowspan="1" colspan="1">0.20∗∗∗</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<italic>P</italic>
value</td>
<td align="center" rowspan="1" colspan="1"><0.001</td>
<td align="center" rowspan="1" colspan="1"><0.001</td>
<td align="center" rowspan="1" colspan="1"><0.001</td>
<td align="center" rowspan="1" colspan="1">0.08</td>
<td align="center" rowspan="1" colspan="1">0.45</td>
<td align="center" rowspan="1" colspan="1"><0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Clustered: clustered cardiometabolic risk; WST: waist circumference; HOMA: HOMA insulin resistance; TRI: triglycerides; HDL: HDL-cholesterol; SBP: systolic blood pressure. </p>
</fn>
<fn>
<p>
<sup>a</sup>
Results were tested by Spearman's rank correlation test.</p>
</fn>
<fn>
<p>
<sup>b</sup>
Variables were log-transformed (natural log).</p>
</fn>
<fn>
<p> *
<italic>P</italic>
< 0.05;  **
<italic>P</italic>
< 0.01;  ***
<italic>P</italic>
< 0.001.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tab4" orientation="portrait" position="float">
<label>Table 4</label>
<caption>
<p>Chi-square tests for difference testing between the low and high hostility groups, CARDIA, 1990–2005.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" rowspan="1" colspan="1">Chi-square test for difference testing</th>
<th align="center" rowspan="1" colspan="1">Value </th>
<th align="center" rowspan="1" colspan="1">df
<sup>a</sup>
</th>
<th align="center" rowspan="1" colspan="1">
<italic>P</italic>
value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" rowspan="1" colspan="1">Baseline versus structural invariance</td>
<td align="center" rowspan="1" colspan="1">450.91</td>
<td align="center" rowspan="1" colspan="1">109</td>
<td align="center" rowspan="1" colspan="1"><0.001</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Structural invariance versus partial structural invariance</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 6 cross-lagged associations</td>
<td align="center" rowspan="1" colspan="1">27.99</td>
<td align="center" rowspan="1" colspan="1">6</td>
<td align="center" rowspan="1" colspan="1"><0.001</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 3 associations of TV on cardiometabolic risk</td>
<td align="center" rowspan="1" colspan="1">21.26</td>
<td align="center" rowspan="1" colspan="1">3</td>
<td align="center" rowspan="1" colspan="1"><0.001</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> TV 5 → cardiometabolic risk 10</td>
<td align="center" rowspan="1" colspan="1">8.72</td>
<td align="center" rowspan="1" colspan="1">1</td>
<td align="center" rowspan="1" colspan="1">0.003</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> TV 10 → cardiometabolic risk 15</td>
<td align="center" rowspan="1" colspan="1">15.21</td>
<td align="center" rowspan="1" colspan="1">1</td>
<td align="center" rowspan="1" colspan="1"><0.001</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> TV 15 → cardiometabolic risk 20</td>
<td align="center" rowspan="1" colspan="1">8.99</td>
<td align="center" rowspan="1" colspan="1">1</td>
<td align="center" rowspan="1" colspan="1">0.003</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Cardiometabolic risk 7 → TV 10</td>
<td align="center" rowspan="1" colspan="1">4.84</td>
<td align="center" rowspan="1" colspan="1">1</td>
<td align="center" rowspan="1" colspan="1">0.03</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Cardiometabolic risk 10 → TV 15</td>
<td align="center" rowspan="1" colspan="1">6.9</td>
<td align="center" rowspan="1" colspan="1">1</td>
<td align="center" rowspan="1" colspan="1">0.009</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Cardiometabolic risk 15 → TV 20</td>
<td align="center" rowspan="1" colspan="1">1.37</td>
<td align="center" rowspan="1" colspan="1">1</td>
<td align="center" rowspan="1" colspan="1">0.24</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<sup>a</sup>
df: degree of freedom.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tab5" orientation="portrait" position="float">
<label>Table 5</label>
<caption>
<p>Cross-lagged associations from TV viewing to five cardiometabolic risk variables by levels of hostility.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" rowspan="1" colspan="1">Low hostility</th>
<th align="center" rowspan="1" colspan="1">WST 10</th>
<th align="center" rowspan="1" colspan="1">HOMA 10
<sup>a</sup>
</th>
<th align="center" rowspan="1" colspan="1">TRI 10
<sup>a</sup>
</th>
<th align="center" rowspan="1" colspan="1">HDL 10</th>
<th align="center" rowspan="1" colspan="1">SBP 10</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" rowspan="1" colspan="1">TV viewing 5</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<italic>B </italic>
</td>
<td align="center" rowspan="1" colspan="1">0.009</td>
<td align="center" rowspan="1" colspan="1">0.046∗</td>
<td align="center" rowspan="1" colspan="1">−0.079∗∗</td>
<td align="center" rowspan="1" colspan="1">0.075∗∗</td>
<td align="center" rowspan="1" colspan="1">0.119∗∗∗</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<italic>P</italic>
value</td>
<td align="center" rowspan="1" colspan="1">0.63</td>
<td align="center" rowspan="1" colspan="1">0.03</td>
<td align="center" rowspan="1" colspan="1">0.005</td>
<td align="center" rowspan="1" colspan="1">0.002</td>
<td align="center" rowspan="1" colspan="1"><0.001</td>
</tr>
<tr>
<td align="center" colspan="6" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Low hostility</td>
<td align="center" rowspan="1" colspan="1">WST 15</td>
<td align="center" rowspan="1" colspan="1">HOMA 15
<sup>a</sup>
</td>
<td align="center" rowspan="1" colspan="1">TRI 15
<sup> a</sup>
</td>
<td align="center" rowspan="1" colspan="1">HDL 15</td>
<td align="center" rowspan="1" colspan="1">SBP 15</td>
</tr>
<tr>
<td align="center" colspan="6" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">TV viewing 10</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<italic>B </italic>
</td>
<td align="center" rowspan="1" colspan="1">0.025</td>
<td align="center" rowspan="1" colspan="1">0.055∗∗</td>
<td align="center" rowspan="1" colspan="1">−0.051</td>
<td align="center" rowspan="1" colspan="1">0.000</td>
<td align="center" rowspan="1" colspan="1">0.037</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<italic>P</italic>
value</td>
<td align="center" rowspan="1" colspan="1">0.14</td>
<td align="center" rowspan="1" colspan="1">0.009</td>
<td align="center" rowspan="1" colspan="1">0.08</td>
<td align="center" rowspan="1" colspan="1">0.99</td>
<td align="center" rowspan="1" colspan="1">0.10</td>
</tr>
<tr>
<td align="center" colspan="6" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Low hostility</td>
<td align="center" rowspan="1" colspan="1">WST 20</td>
<td align="center" rowspan="1" colspan="1">HOMA 20
<sup>a</sup>
</td>
<td align="center" rowspan="1" colspan="1">TRI 20
<sup>a</sup>
</td>
<td align="center" rowspan="1" colspan="1">HDL 20</td>
<td align="center" rowspan="1" colspan="1">SBP 20</td>
</tr>
<tr>
<td align="center" colspan="6" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">TV viewing 15</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<italic>B </italic>
</td>
<td align="center" rowspan="1" colspan="1">0.005</td>
<td align="center" rowspan="1" colspan="1">0.024</td>
<td align="center" rowspan="1" colspan="1">−0.008</td>
<td align="center" rowspan="1" colspan="1">−0.056∗∗</td>
<td align="center" rowspan="1" colspan="1">0.053∗</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<italic>P</italic>
value</td>
<td align="center" rowspan="1" colspan="1">0.75</td>
<td align="center" rowspan="1" colspan="1">0.25</td>
<td align="center" rowspan="1" colspan="1">0.78</td>
<td align="center" rowspan="1" colspan="1">0.006</td>
<td align="center" rowspan="1" colspan="1">0.02</td>
</tr>
<tr>
<td align="center" colspan="6" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">High hostility</td>
<td align="center" rowspan="1" colspan="1">WST 10</td>
<td align="center" rowspan="1" colspan="1">HOMA 10
<sup>a</sup>
</td>
<td align="center" rowspan="1" colspan="1">TRI 10
<sup>a</sup>
</td>
<td align="center" rowspan="1" colspan="1">HDL 10</td>
<td align="center" rowspan="1" colspan="1">SBP 10</td>
</tr>
<tr>
<td align="center" colspan="6" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">TV viewing 5</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<italic>B </italic>
</td>
<td align="center" rowspan="1" colspan="1">0.035</td>
<td align="center" rowspan="1" colspan="1">0.064∗∗</td>
<td align="center" rowspan="1" colspan="1">−0.02</td>
<td align="center" rowspan="1" colspan="1">0.065∗∗</td>
<td align="center" rowspan="1" colspan="1">0.177∗∗∗</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<italic>P</italic>
value</td>
<td align="center" rowspan="1" colspan="1">0.17</td>
<td align="center" rowspan="1" colspan="1">0.001</td>
<td align="center" rowspan="1" colspan="1">0.48</td>
<td align="center" rowspan="1" colspan="1">0.001</td>
<td align="center" rowspan="1" colspan="1"><0.001</td>
</tr>
<tr>
<td align="center" colspan="6" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">High hostility</td>
<td align="center" rowspan="1" colspan="1">WST 15</td>
<td align="center" rowspan="1" colspan="1">HOMA 15
<sup>a</sup>
</td>
<td align="center" rowspan="1" colspan="1">TRI 15
<sup>a</sup>
</td>
<td align="center" rowspan="1" colspan="1">HDL 15</td>
<td align="center" rowspan="1" colspan="1">SBP 15</td>
</tr>
<tr>
<td align="center" colspan="6" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">TV viewing 10</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<italic>B </italic>
</td>
<td align="center" rowspan="1" colspan="1">−0.032</td>
<td align="center" rowspan="1" colspan="1">0.002</td>
<td align="center" rowspan="1" colspan="1">−0.064∗</td>
<td align="center" rowspan="1" colspan="1">−0.086∗∗∗</td>
<td align="center" rowspan="1" colspan="1">−0.006</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<italic>P</italic>
value</td>
<td align="center" rowspan="1" colspan="1">0.09</td>
<td align="center" rowspan="1" colspan="1">0.95</td>
<td align="center" rowspan="1" colspan="1">0.03</td>
<td align="center" rowspan="1" colspan="1"><0.001</td>
<td align="center" rowspan="1" colspan="1">0.85</td>
</tr>
<tr>
<td align="center" colspan="6" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">High hostility</td>
<td align="center" rowspan="1" colspan="1">WST 20</td>
<td align="center" rowspan="1" colspan="1">HOMA 20
<sup>a</sup>
</td>
<td align="center" rowspan="1" colspan="1">TRI 20
<sup>a</sup>
</td>
<td align="center" rowspan="1" colspan="1">HDL 20</td>
<td align="center" rowspan="1" colspan="1">SBP 20</td>
</tr>
<tr>
<td align="center" colspan="6" rowspan="1">
<hr></hr>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">TV viewing 15
<break></break>
</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<italic>B </italic>
</td>
<td align="center" rowspan="1" colspan="1">−0.006</td>
<td align="center" rowspan="1" colspan="1">0.04</td>
<td align="center" rowspan="1" colspan="1">0.02</td>
<td align="center" rowspan="1" colspan="1">−0.034</td>
<td align="center" rowspan="1" colspan="1">0.160∗∗∗</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<italic>P</italic>
value</td>
<td align="center" rowspan="1" colspan="1">0.75</td>
<td align="center" rowspan="1" colspan="1">0.68</td>
<td align="center" rowspan="1" colspan="1">0.51</td>
<td align="center" rowspan="1" colspan="1">0.07</td>
<td align="center" rowspan="1" colspan="1"><0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>WST: waist circumference; HOMA: HOMA insulin resistance; TRI: triglycerides; HDL: HDL-cholesterol; SBP: systolic blood pressure. All cross-lagged panel models were adjusted for the same covariates as the clustered cardiometabolic risk model. Regression weights are standardized. </p>
</fn>
<fn>
<p>
<sup>a</sup>
Variables were log-transformed (natural log).</p>
</fn>
<fn>
<p> *
<italic>P</italic>
< 0.05;  **
<italic>P</italic>
< 0.01;  ***
<italic>P</italic>
< 0.001.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</floats-group>
</pmc>
<affiliations>
<list>
<country>
<li>États-Unis</li>
</country>
<region>
<li>Californie</li>
<li>Minnesota</li>
<li>Pennsylvanie</li>
</region>
<settlement>
<li>Pittsburgh</li>
</settlement>
<orgName>
<li>Université de Pittsburgh</li>
</orgName>
</list>
<tree>
<country name="États-Unis">
<region name="Pennsylvanie">
<name sortKey="Fabio, Anthony" sort="Fabio, Anthony" uniqKey="Fabio A" first="Anthony" last="Fabio">Anthony Fabio</name>
</region>
<name sortKey="Chen, Chung Yu" sort="Chen, Chung Yu" uniqKey="Chen C" first="Chung-Yu" last="Chen">Chung-Yu Chen</name>
<name sortKey="Chung, Tammy" sort="Chung, Tammy" uniqKey="Chung T" first="Tammy" last="Chung">Tammy Chung</name>
<name sortKey="Erickson, Darin" sort="Erickson, Darin" uniqKey="Erickson D" first="Darin" last="Erickson">Darin Erickson</name>
<name sortKey="Iribarren, Carlos" sort="Iribarren, Carlos" uniqKey="Iribarren C" first="Carlos" last="Iribarren">Carlos Iribarren</name>
<name sortKey="Jacobs, David R" sort="Jacobs, David R" uniqKey="Jacobs D" first="David R." last="Jacobs">David R. Jacobs</name>
<name sortKey="Kim, Kevin H" sort="Kim, Kevin H" uniqKey="Kim K" first="Kevin H." last="Kim">Kevin H. Kim</name>
<name sortKey="Matthews, Karen A" sort="Matthews, Karen A" uniqKey="Matthews K" first="Karen A." last="Matthews">Karen A. Matthews</name>
<name sortKey="Pereira, Mark A" sort="Pereira, Mark A" uniqKey="Pereira M" first="Mark A." last="Pereira">Mark A. Pereira</name>
<name sortKey="Sidney, Steven" sort="Sidney, Steven" uniqKey="Sidney S" first="Steven" last="Sidney">Steven Sidney</name>
<name sortKey="Zgibor, Janice C" sort="Zgibor, Janice C" uniqKey="Zgibor J" first="Janice C." last="Zgibor">Janice C. Zgibor</name>
</country>
</tree>
</affiliations>
</record>

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