defines wellness traits when it comes to sample that is total and individually by short-term loan historyJust below 22% associated with sample (n=62) had a brief history of short-term loan borrowing (had ever endured a short-term loan of any kind). Just 8 individuals (2.7% for the sample) had a present loan that is short-term additionally the typical balance on those present loans had been $2900. The most typical uses of short-term loans had been spending money on important cost of living like food, housing, and resources (see dining Table 2 ). Just three demographic traits differed somewhat between individuals with a reputation for short-term loans and people without: age, welfare receipt, and competition. People that have a brief reputation for short-term borrowing had been older (suggest age 37 vs. 30), more prone to receive general public support or welfare advantages, and much more prone to report their competition as Ebony or African United states, or as several Race. Dining Dining Dining Table 2 Uses of short-term loans. utilize Category per cent (Frequency) Food 54% (33) Housing 49% (30) Utilities 41% (25) private items 38% (23) Education 21% (13) Vacation 21% (13) health expenses 15% (9) kid or expenses that are dependent% (8) Wellness traits dining Table 3 as a whole the general test is quite healthier. Normal systolic and blood that is diastolic when it comes to total test had been within normal ranges. Suggest BMI within our test had been 26.2, which can be over the weight that is“normal threshold of 24.9, nevertheless just 19.2percent of y our test falls into an overweight category (BMI of 30 or more). Median plasma-equivalent CRP ended up being 0.8, that is well underneath the 3 mg/L threshold showing increased disease risk that is cardiovascular. The median EBV antibody value ended up being 97.5, which can be significantly less than that reported in the nationally-representative AddHealth test (Dowd, Palermo, Chyu, Adam, & McDade, 2014). The general test reported relatively low variety of debt-related real, sexual, and psychological signs. Scores in the CES-D and Beck anxiousness Inventory had been similar to validation examples, while sensed anxiety ratings had been significantly high (18.6 vs. 13.0 with this age bracket in a sample that is national (Cohen et al., 1983). Dining Dining Dining Table 3 Wellness Measures for total sample and also by short-term loan history, Mean (Std. Dev.) or percent (Freq.). Total Sample (n=286) No History of Short-term loans reputation for Short-term loans p-value blood that is systolic 113.4 (15.7) 111.5 (14.8) 120.2 (16.9) 0.001 Diastolic Hypertension 77.9 (10.8) 76.8 (10.0) 82.3 (12.2) 0.001 BP Drugs 4.2% (12) 2.2% (5) 11.3percent (7) 0.001 BMI 26.2 (5.7) 25.5 (5.4) 28.4 (6.1) 0.001 Waist circumference 86.7 (16.1) 84.9 (16.1) 93.1 (14.5) 0.001 CRP (median mg/L) 0.8 (3.2) 0.6 (3.2) 1.2 (3.4) 0.01 EBV (median) 97.5 (241.1) 106.7 (258.5) 83.8 (157.1) 0.32 # bodily signs 1.1 (1.4) 0.9 (1.3) 1.5 (1.8) 0.01 # psychological symptoms 1.1 (1.0) 1.0 (1.0) 1.3 (1.1) 0.11 # Intimate Signs 0.3 (0.5) 0.2 (0.4) 0.5 (0.7) 0.001 Despair 17.5 (10.7) 17.0 (10.4) 19.5 (11.7) 0.13 Anxiousness 12.2 (10.6) 11.5 (10.5) 14.4 (10.7) 0.07 Perceived Stress 18.6 (5.6) 18.5 (5.6) 19.0 (5.7) 0.51 People that have a brief reputation for short-term loans had considerably even worse wellness across a variety of measures, including greater blood that is systolic, greater diastolic blood pressure levels, greater BMI, greater waistline circumference, greater CRP, and greater total counts of debt-related real and sexual wellness signs. Debt-related psychological symptom counts and ratings from the validated scales of despair, identified anxiety, and self-esteem are not considerably different between individuals with and without a brief history of short-term loans. Ratings in the Beck anxiousness Inventory were statistically borderline elevated (p dining dining Table 4 ). In unadjusted models, short-term loan borrowing had been connected with greater systolic and diastolic blood pressure levels, BMI, waistline circumference, CRP values, amount of reported physical and intimate symptoms, and modestly greater anxiety. After adjusting for the three demographic faculties that differed by short-term loan history – age, welfare receipt, and competition – coefficients of association with short-term loan borrowing had been notably attenuated for systolic (35% decrease) and blood that is diastolic (48% decrease), and waistline circumference (33% decrease), but had been practically unchanged for many other wellness results. Likewise, in Model 3, managing for the complete group of prospective demographic covariates, associations of short-term loan borrowing with SBP, DBP and waistline circumference saw further attenuation that is modest but the most of associations stayed unchanged and statistically significant. Fig. 1 summarizes these effect sizes, showing the distinctions between short-term loan borrowers and non-borrowers for key wellness indicators. The % distinction between the 2 teams for every single wellness indicator is founded on expected values from the completely modified regression that is multiple (Model 3). The biggest impact sizes have emerged for CRP and self-reported signs. percent distinction in expected values of key wellness indicators between short-term loan borrowers and non-borrowers (modified for covariates in Model 3)*. *only models with p Model 2 a Model 3 b (95% CI) p-value (95% CI) p-value (95% CI) p-value blood that is systolic * 6.8 (2.6, 11.1) 0.00 4.3 (0.3, 8.3) 0.04 3.2 (-0.6, 6.9) 0.09 Diastolic bloodstream pressure * 4.2 (1.2, 7.1) 0.01 2.2 (-0.6, 5.0) 0.12 1.8 (-1.1, 4.6) 0.22 BMI 2.8 (1.2, 4.4) 0.00 2.2 (0.6, 3.7) 0.01 2.2 (0.5, 3.8) 0.01 Waist circumference 8.1 (3.6, 12.6) 0.00 5.4 (0.9, 9.9) 0.02 4.7 (0.7, 8.7) 0.02 Log CRP 0.5 (0.1, 0.9) 0.01 0.5 (0.1, 0.9) 0.02 0.5 (0.1, 0.9) 0.02 Log EBV -0.2 (-0.5, 0.2) 0.29 -0.2 (-0.6, 0.1) 0.17 -0.3 (-0.6, 0.1) 0.15 # bodily signs 0.5 (0.1, 1.0) 0.01 0.4 (-0.0, 0.9) 0.05 0.6 (0.1, 1.0) 0.01 # psychological signs 0.2 (-0.0, 0.5) 0.11 0.2 (-0.1, 0.5) 0.21 0.3 (-0.1, 0.6) 0.11 # intimate signs 0.3 (0.1, 0.4) 0.00 0.3 (0.1, 0.4) 0.00 0.3 (0.1, 0.4) 0.00 Despair 2.5 (-0.7, 5.7) 0.13 2.3 (-1.1, 5.6) 0.18 2.3 (-1.3, 5.8) 0.21 Anxiousness 2.8 (-0.2, 5.9) 0.07 3.7 (0.4, 6.9) 0.03 3.6 (0.3, 6.9) 0.03 Perceived anxiety 0.5 (-1.1, 2.2) 0.51 0.8 (-0.9, 2.5) 0.34 1.1 (-0.6, 2.8) 0.21 4. Discussion and conclusions In this test, we unearthed that people who had a brief history of short-term loan borrowing had even worse wellness across a selection of cardiovascular, metabolic, and overall health indicators. In specific we discovered that short-term loans are connected with higher blood pressure levels, adiposity, infection, and self-reported physical that is adverse. These findings play a role in growing evidence that is epidemiological customer credit card debt is related not merely with poorer mental health but in addition with poorer real wellness (Clayton et al., 2015, Pollack and Lynch, 2009, Sweet et al., 2013), and now we increase record of real wellness measures to incorporate markers of human anatomy composition and swelling (CRP). Also, our findings advance knowledge about how precisely diverse kinds of indebtedness are connected with health. While previous research reports have demonstrated that credit card debt is distinct from collateralized mortgage loans being a danger element for illness (Berger and Houle, 2016, Drentea and Lavrakas, 2000, Sweet et al., 2013, Zurlo et al., 2014), our findings deepen that distinction by adding to proof that short-term loans are really a type that is specific of financial obligation with implications for wellness (Eisenberg-Guyot et al., 2018).

defines wellness traits when it comes to sample that is total and individually by short-term loan history</title.</p> <p>Just below 22% associated with sample (n=62) had a brief history of short-term loan borrowing (had ever endured a short-term loan of any kind). Just 8 individuals (2.7% for the sample) had a present loan that is short-term additionally the typical balance on those present loans had been $2900. The most typical uses of short-term loans had been spending money on important cost of living like food, housing, and resources (see dining Table 2 ). Just three demographic traits differed somewhat between individuals with a reputation for short-term loans and people without: age, welfare receipt, and competition. People that have a brief reputation for short-term borrowing had been older (suggest age 37 vs. 30), more prone to receive general public support or welfare advantages, and much more prone to report their competition as Ebony or African United states, or as several Race.</p> <h2> Dining Dining Dining Table 2</h2> <p>Uses of short-term loans.</p> <table rules="groups"> <thead> <tr> <th rowspan="1" colspan="1">utilize Category</th> <th rowspan="1" colspan="1">per cent (Frequency)</th> </tr> </th> <tbody> <tr> <td rowspan="1" colspan="1">Food</td> <td rowspan="1" colspan="1">54% (33)</td> </tr> <tr> <td rowspan="1" colspan="1">Housing</td> <td rowspan="1" colspan="1">49% (30)</td> </tr> <tr> <td rowspan="1" colspan="1">Utilities</td> <td rowspan="1" colspan="1">41% (25)</td> </tr> <tr> <td rowspan="1" colspan="1">private items</td> <td rowspan="1" colspan="1">38% (23)</td> </tr> <tr> <td rowspan="1" colspan="1">Education</td> <td rowspan="1" colspan="1">21% (13)</td> </tr> <tr> <td rowspan="1" colspan="1">Vacation</td> <td rowspan="1" colspan="1">21% (13)</td> </tr> <tr> <td rowspan="1" colspan="1">health expenses</td> <td rowspan="1" colspan="1">15% (9)</td> </tr> <tr> <td rowspan="1" colspan="1"> kid or expenses that are dependent% (8)</td> </tr> </tbody> </table> <h2>Wellness traits</h2> <p> dining Table 3 as a whole the general test is quite healthier.<span id="more-10474"></span> Normal systolic and blood that is diastolic when it comes to total test had been within normal ranges. Suggest BMI within our test had been 26.2, which can be over the weight that is“normal threshold of 24.9, nevertheless just 19.2percent of y our test falls into an overweight category (BMI of 30 or more). Median plasma-equivalent CRP ended up being 0.8, that is well underneath the 3 mg/L threshold showing increased disease risk that is cardiovascular. The median EBV antibody value ended up being 97.5, which can be significantly less than that reported in the nationally-representative AddHealth test (Dowd, Palermo, Chyu, Adam, & McDade, 2014). The general test reported relatively low variety of debt-related real, sexual, and psychological signs. Scores in the CES-D and Beck anxiousness Inventory had been similar to validation examples, while sensed anxiety ratings had been significantly high (18.6 vs. 13.0 with this age bracket in a sample that is national (Cohen et al., 1983).</p> <h2> Dining Dining Dining Table 3</h2> <p>Wellness Measures for total sample and also by short-term loan history, Mean (Std. Dev.) or percent (Freq.).</p> <table rules="groups"> <thead> <tr> <th rowspan="1" colspan="1">Total Sample (n=286)</th> <th rowspan="1" colspan="1">No History of Short-term loans</th> <th rowspan="1" colspan="1">reputation for Short-term loans</th> <th rowspan="1" colspan="1">p-value blood that is systolic</td> <td rowspan="1" colspan="1">113.4 (15.7)</td> <td rowspan="1" colspan="1">111.5 (14.8)</td> <td rowspan="1" colspan="1">120.2 (16.9)</td> <td rowspan="1" colspan="1">0.001</td> </tr> <tr> <td rowspan="1" colspan="1">Diastolic Hypertension</td> <td rowspan="1" colspan="1">77.9 (10.8)</td> <td rowspan="1" colspan="1">76.8 (10.0)</td> <td rowspan="1" colspan="1">82.3 (12.2)</td> <td rowspan="1" colspan="1">0.001</td> </tr> <tr> <td rowspan="1" colspan="1">BP Drugs</td> <td rowspan="1" colspan="1">4.2% (12)</td> <td rowspan="1" colspan="1">2.2% (5)</td> <td rowspan="1" colspan="1">11.3percent (7)</td> <td rowspan="1" colspan="1">0.001</td> </tr> <tr> <td rowspan="1" colspan="1">BMI</td> <td rowspan="1" colspan="1">26.2 (5.7)</td> <td rowspan="1" colspan="1">25.5 (5.4)</td> <td rowspan="1" colspan="1">28.4 (6.1)</td> <td rowspan="1" colspan="1">0.001</td> </tr> <tr> <td rowspan="1" colspan="1">Waist circumference</td> <td rowspan="1" colspan="1">86.7 (16.1)</td> <td rowspan="1" colspan="1">84.9 (16.1)</td> <td rowspan="1" colspan="1">93.1 (14.5)</td> <td rowspan="1" colspan="1">0.001</td> </tr> <tr> <td rowspan="1" colspan="1">CRP (median mg/L)</td> <td rowspan="1" colspan="1">0.8 (3.2)</td> <td rowspan="1" colspan="1">0.6 (3.2)</td> <td rowspan="1" colspan="1">1.2 (3.4)</td> <td rowspan="1" colspan="1">0.01</td> </tr> <tr> <td rowspan="1" colspan="1">EBV (median)</td> <td rowspan="1" colspan="1">97.5 (241.1)</td> <td rowspan="1" colspan="1">106.7 (258.5)</td> <td rowspan="1" colspan="1">83.8 (157.1)</td> <td rowspan="1" colspan="1">0.32</td> </tr> <tr> <td rowspan="1" colspan="1"># bodily signs</td> <td rowspan="1" colspan="1">1.1 (1.4)</td> <td rowspan="1" colspan="1">0.9 (1.3)</td> <td rowspan="1" colspan="1">1.5 (1.8)</td> <td rowspan="1" colspan="1">0.01</td> </tr> <tr> <td rowspan="1" colspan="1"># psychological symptoms</td> <td rowspan="1" colspan="1">1.1 (1.0)</td> <td rowspan="1" colspan="1">1.0 (1.0)</td> <td rowspan="1" colspan="1">1.3 (1.1)</td> <td rowspan="1" colspan="1">0.11</td> </tr> <tr> <td rowspan="1" colspan="1"># Intimate Signs</td> <td rowspan="1" colspan="1">0.3 (0.5)</td> <td rowspan="1" colspan="1">0.2 (0.4)</td> <td rowspan="1" colspan="1">0.5 (0.7)</td> <td rowspan="1" colspan="1">0.001</td> </tr> <tr> <td rowspan="1" colspan="1">Despair</td> <td rowspan="1" colspan="1">17.5 (10.7)</td> <td rowspan="1" colspan="1">17.0 (10.4)</td> <td rowspan="1" colspan="1">19.5 (11.7)</td> <td rowspan="1" colspan="1">0.13</td> </tr> <tr> <td rowspan="1" colspan="1">Anxiousness</td> <td rowspan="1" colspan="1">12.2 (10.6)</td> <td rowspan="1" colspan="1">11.5 (10.5)</td> <td rowspan="1" colspan="1">14 <a href="https://badcreditloanshelp.net/payday-loans-ms/">https://badcreditloanshelp.net/payday-loans-ms/</a>.4 (10.7)</td> <td rowspan="1" colspan="1">0.07</td> </tr> <tr> <td rowspan="1" colspan="1">Perceived Stress</td> <td rowspan="1" colspan="1">18.6 (5.6)</td> <td rowspan="1" colspan="1">18.5 (5.6)</td> <td rowspan="1" colspan="1">19.0 (5.7)</td> <td rowspan="1" colspan="1">0.51</td> </tr> </tbody> </table> <p>People that have a brief reputation for short-term loans had considerably even worse wellness across a variety of measures, including greater blood that is systolic, greater diastolic blood pressure levels, greater BMI, greater waistline circumference, greater CRP, and greater total counts of debt-related real and sexual wellness signs. Debt-related psychological symptom counts and ratings from the validated scales of despair, identified anxiety, and self-esteem are not considerably different between individuals with and without a brief history of short-term loans. Ratings in the Beck anxiousness Inventory were statistically borderline elevated (p dining dining Table 4 ). In unadjusted models, short-term loan borrowing had been connected with greater systolic and diastolic blood pressure levels, BMI, waistline circumference, CRP values, amount of reported physical and intimate symptoms, and modestly greater anxiety. After adjusting for the three demographic faculties that differed by short-term loan history – age, welfare receipt, and competition – coefficients of association with short-term loan borrowing had been notably attenuated for systolic (35% decrease) and blood that is diastolic (48% decrease), and waistline circumference (33% decrease), but had been practically unchanged for many other wellness results. Likewise, in Model 3, managing for the complete group of prospective demographic covariates, associations of short-term loan borrowing with SBP, DBP and waistline circumference saw further attenuation that is modest but the most of associations stayed unchanged and statistically significant. Fig. 1 summarizes these effect sizes, showing the distinctions between short-term loan borrowers and non-borrowers for key wellness indicators. The % distinction between the 2 teams for every single wellness indicator is founded on expected values from the completely modified regression that is multiple (Model 3). The biggest impact sizes have emerged for CRP and self-reported signs.</p> <p>percent distinction in expected values of key wellness indicators between short-term loan borrowers and non-borrowers (modified for covariates in Model 3)*. *only models with p</th> <th colspan="2" rowspan="1">Model 2 a</th> <th colspan="2" rowspan="1">Model 3 b</th> </tr> <tr> <th rowspan="1" colspan="1">(95% CI)</th> <th rowspan="1" colspan="1">p-value</th> <th rowspan="1" colspan="1">(95% CI)</th> <th rowspan="1" colspan="1">p-value</th> <th rowspan="1" colspan="1">(95% CI)</th> <th rowspan="1" colspan="1">p-value blood that is systolic *</td> <td rowspan="1" colspan="1">6.8 (2.6, 11.1)</td> <td rowspan="1" colspan="1">0.00</td> <td rowspan="1" colspan="1">4.3 (0.3, 8.3)</td> <td rowspan="1" colspan="1">0.04</td> <td rowspan="1" colspan="1">3.2 (-0.6, 6.9)</td> <td rowspan="1" colspan="1">0.09</td> </tr> <tr> <td rowspan="1" colspan="1">Diastolic bloodstream pressure *</td> <td rowspan="1" colspan="1">4.2 (1.2, 7.1)</td> <td rowspan="1" colspan="1">0.01</td> <td rowspan="1" colspan="1">2.2 (-0.6, 5.0)</td> <td rowspan="1" colspan="1">0.12</td> <td rowspan="1" colspan="1">1.8 (-1.1, 4.6)</td> <td rowspan="1" colspan="1">0.22</td> </tr> <tr> <td rowspan="1" colspan="1">BMI</td> <td rowspan="1" colspan="1">2.8 (1.2, 4.4)</td> <td rowspan="1" colspan="1">0.00</td> <td rowspan="1" colspan="1">2.2 (0.6, 3.7)</td> <td rowspan="1" colspan="1">0.01</td> <td rowspan="1" colspan="1">2.2 (0.5, 3.8)</td> <td rowspan="1" colspan="1">0.01</td> </tr> <tr> <td rowspan="1" colspan="1">Waist circumference</td> <td rowspan="1" colspan="1">8.1 (3.6, 12.6)</td> <td rowspan="1" colspan="1">0.00</td> <td rowspan="1" colspan="1">5.4 (0.9, 9.9)</td> <td rowspan="1" colspan="1">0.02</td> <td rowspan="1" colspan="1">4.7 (0.7, 8.7)</td> <td rowspan="1" colspan="1">0.02</td> </tr> <tr> <td rowspan="1" colspan="1">Log CRP</td> <td rowspan="1" colspan="1">0.5 (0.1, 0.9)</td> <td rowspan="1" colspan="1">0.01</td> <td rowspan="1" colspan="1">0.5 (0.1, 0.9)</td> <td rowspan="1" colspan="1">0.02</td> <td rowspan="1" colspan="1">0.5 (0.1, 0.9)</td> <td rowspan="1" colspan="1">0.02</td> </tr> <tr> <td rowspan="1" colspan="1">Log EBV</td> <td rowspan="1" colspan="1">-0.2 (-0.5, 0.2)</td> <td rowspan="1" colspan="1">0.29</td> <td rowspan="1" colspan="1">-0.2 (-0.6, 0.1)</td> <td rowspan="1" colspan="1">0.17</td> <td rowspan="1" colspan="1">-0.3 (-0.6, 0.1)</td> <td rowspan="1" colspan="1">0.15</td> </tr> <tr> <td rowspan="1" colspan="1"># bodily signs</td> <td rowspan="1" colspan="1">0.5 (0.1, 1.0)</td> <td rowspan="1" colspan="1">0.01</td> <td rowspan="1" colspan="1">0.4 (-0.0, 0.9)</td> <td rowspan="1" colspan="1">0.05</td> <td rowspan="1" colspan="1">0.6 (0.1, 1.0)</td> <td rowspan="1" colspan="1">0.01</td> </tr> <tr> <td rowspan="1" colspan="1"># psychological signs</td> <td rowspan="1" colspan="1">0.2 (-0.0, 0.5)</td> <td rowspan="1" colspan="1">0.11</td> <td rowspan="1" colspan="1">0.2 (-0.1, 0.5)</td> <td rowspan="1" colspan="1">0.21</td> <td rowspan="1" colspan="1">0.3 (-0.1, 0.6)</td> <td rowspan="1" colspan="1">0.11</td> </tr> <tr> <td rowspan="1" colspan="1"># intimate signs</td> <td rowspan="1" colspan="1">0.3 (0.1, 0.4)</td> <td rowspan="1" colspan="1">0.00</td> <td rowspan="1" colspan="1">0.3 (0.1, 0.4)</td> <td rowspan="1" colspan="1">0.00</td> <td rowspan="1" colspan="1">0.3 (0.1, 0.4)</td> <td rowspan="1" colspan="1">0.00</td> </tr> <tr> <td rowspan="1" colspan="1">Despair</td> <td rowspan="1" colspan="1">2.5 (-0.7, 5.7)</td> <td rowspan="1" colspan="1">0.13</td> <td rowspan="1" colspan="1">2.3 (-1.1, 5.6)</td> <td rowspan="1" colspan="1">0.18</td> <td rowspan="1" colspan="1">2.3 (-1.3, 5.8)</td> <td rowspan="1" colspan="1">0.21</td> </tr> <tr> <td rowspan="1" colspan="1">Anxiousness</td> <td rowspan="1" colspan="1">2.8 (-0.2, 5.9)</td> <td rowspan="1" colspan="1">0.07</td> <td rowspan="1" colspan="1">3.7 (0.4, 6.9)</td> <td rowspan="1" colspan="1">0.03</td> <td rowspan="1" colspan="1">3.6 (0.3, 6.9)</td> <td rowspan="1" colspan="1">0.03</td> </tr> <tr> <td rowspan="1" colspan="1">Perceived anxiety</td> <td rowspan="1" colspan="1">0.5 (-1.1, 2.2)</td> <td rowspan="1" colspan="1">0.51</td> <td rowspan="1" colspan="1">0.8 (-0.9, 2.5)</td> <td rowspan="1" colspan="1">0.34</td> <td rowspan="1" colspan="1">1.1 (-0.6, 2.8)</td> <td rowspan="1" colspan="1">0.21</td> </tr> </tbody> </table> <h2>4. Discussion and conclusions</h2> <p>In this test, we unearthed that people who had a brief history of short-term loan borrowing had even worse wellness across a selection of cardiovascular, metabolic, and overall health indicators. In specific we discovered that short-term loans are connected with higher blood pressure levels, adiposity, infection, and self-reported physical that is adverse. These findings play a role in growing evidence that is epidemiological customer credit card debt is related not merely with poorer mental health but in addition with poorer real wellness (Clayton et al., 2015, Pollack and Lynch, 2009, Sweet et al., 2013), and now we increase record of real wellness measures to incorporate markers of human anatomy composition and swelling (CRP). Also, our findings advance knowledge about how precisely diverse kinds of indebtedness are connected with health. While previous research reports have demonstrated that credit card debt is distinct from collateralized mortgage loans being a danger element for illness (Berger and Houle, 2016, Drentea and Lavrakas, 2000, Sweet et al., 2013, Zurlo et al., 2014), our findings deepen that distinction by adding to proof that short-term loans are really a type that is specific of financial obligation with implications for wellness (Eisenberg-Guyot et al., 2018).</p> </div><!-- .entry-content --> <footer class="entry-meta"> <div class="post_tags"> </div> </footer><!-- .entry-meta --> </div><!-- .columns--> </div><!-- .row--> </div><!-- .columns --> </div><!-- .row --> </div><!-- #post --> <nav role="navigation" id="nav-below" class="post-navigation"> <div class="row"> <div class="xlarge-8 large-10 x-large-centered large-centered columns without-sidebar"> <div class="row"> <div class="small-6 columns"> <div class="nav-previous"><a 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