Heavy resistance training increases muscle size, strength and physical function in elderly male COPD-patients - a pilot study

AbstractThis study investigated the effects of heavy resistance training in elderly males with chronic obstructive pulmonary disease (COPD). 18 Home-dwelling male patients (age range: 65–80 years), with a mean forced expiratory volume in the first second (FEV1) of 46±3.4% of predicted value, were recruited. Baseline and post-training assessments included: Cross-sectional area (CSA) of quadriceps assessed by MRI, isometric and isokinetic knee extension strength, isometric trunk strength, leg extension power, normal and maximal gait-speed on a 30m track, stair climbing time, number of chair stands in 30s, lung function (FEV1) and self-reported health. Subjects were randomized to a resistance training group (RE, n=9) or a control group conducting breathing exercises (CON, n=9). RE performed heavy progressive resistance training twice a week for 12 weeks. 6 RE and 7 CON completed the study. In RE the following improved (P<0.05): Quadriceps CSA: 4%, isometric knee extension strength: 14%, isokinetic knee extension strength at 60°/s.: 18%, leg extension power: 19%, maximal gait speed: 14%, stair climbing time: 17%, isometric trunk flexion: 5% and self-reported health. In CON no changes were found.In conclusion, 12 weeks of heavy resistance training twice a week resulted in significant improvements in muscle size, knee extension strength, leg extension power, functional performance and self-reported health in elderly male COPD patients

Data for: Thermal limits of survival and reproduction depend on stress duration: a case study of <i>Drosophila suzukii</i>

Data and code for "Thermal limits of survival and reproduction depend on stress duration: a case study of Drosophila suzukii". Contains three scripts with accompanying data for reproducing analyses and figures in the manuscript: doseresponse_alltraits_bothsexes.R - uses data in "alltraits_summary.xlsx" to fit dose-response curves (Fig. 1) and calculate Lt50 for mortality or Et50 for coma, productivity, and sterility coma_proxy_alltraits.R - uses data in "all_data_long.xlsx" to calculate proportions dead/alive, sterile/fertile and average productivity among early vs. late onset coma groups (Fig. 3) microclimate_injury_accumulation.R - uses data in "TDT_parameters" (derived from Fig. 2 with data shown in Supporting Table 2) and modelled microclimate to estimate accumulated heat injury (per minute) for all traits across the year 2018. On a representative summer day (Aug 5), injury accumulation during the day is shown in Fig. 4. For any inquiries or bugs, please contact Michael Ørsted ([email protected]

Data for: Thermal limits of survival and reproduction depend on stress duration: a case study of <i>Drosophila suzukii</i>

&lt;p&gt;Data and code for &quot;Thermal limits of survival and reproduction depend on stress duration: a case study of &lt;em&gt;Drosophila suzukii&lt;/em&gt;&quot;. Contains three scripts with accompanying data for reproducing analyses and figures in the manuscript:&lt;/p&gt; &lt;ol&gt; &lt;li&gt;doseresponse_alltraits_bothsexes.R - uses data in &quot;alltraits_summary.xlsx&quot; to fit dose-response curves (Fig. 1) and calculate Lt&lt;sub&gt;50&nbsp;&lt;/sub&gt;for mortality or&nbsp;Et&lt;sub&gt;50&nbsp;&lt;/sub&gt;for coma, productivity, and sterility&lt;/li&gt; &lt;li&gt;coma_proxy_alltraits.R - uses data in &quot;all_data_long.xlsx&quot; to calculate proportions dead/alive, sterile/fertile and average productivity among early vs. late onset coma groups (Fig. 3)&lt;/li&gt; &lt;li&gt;microclimate_injury_accumulation.R - uses data in &quot;TDT_parameters&quot; (derived from Fig. 2 with data shown in Supporting Table 2) and modelled microclimate to estimate accumulated heat injury (per minute) for all traits across the year&nbsp;2018. On a representative summer day (Aug 5), injury accumulation during the day is shown in Fig. 4.&lt;/li&gt; &lt;/ol&gt; &lt;p&gt;For any inquiries or bugs, please contact Michael &Oslash;rsted ([email protected])&lt;/p&gt

Data for: Thermal limits of survival and reproduction depend on stress duration: a case study of <i>Drosophila suzukii</i>

&lt;p&gt;Data and code for &quot;Thermal limits of survival and reproduction depend on stress duration: a case study of &lt;em&gt;Drosophila suzukii&lt;/em&gt;&quot;. Contains three scripts with accompanying data for reproducing analyses and figures in the manuscript:&lt;/p&gt; &lt;ol&gt; &lt;li&gt;doseresponse_alltraits_bothsexes.R - uses data in &quot;alltraits_summary.xlsx&quot; to fit dose-response curves (Fig. 1) and calculate Lt&lt;sub&gt;50&nbsp;&lt;/sub&gt;for mortality or&nbsp;Et&lt;sub&gt;50&nbsp;&lt;/sub&gt;for coma, productivity, and sterility&lt;/li&gt; &lt;li&gt;coma_proxy_alltraits.R - uses data in &quot;all_data_long.xlsx&quot; to calculate proportions dead/alive, sterile/fertile and average productivity among early vs. late onset coma groups (Fig. 3)&lt;/li&gt; &lt;li&gt;microclimate_injury_accumulation.R - uses data in &quot;TDT_parameters&quot; (derived from Fig. 2 with data shown in Supporting Table 2) and modelled microclimate to estimate accumulated heat injury (per minute) for all traits across the year&nbsp;2018. On a representative summer day (Aug 5), injury accumulation during the day is shown in Fig. 4.&lt;/li&gt; &lt;/ol&gt; &lt;p&gt;For any inquiries or bugs, please contact Michael &Oslash;rsted ([email protected])&lt;/p&gt

Data for: Thermal limits of survival and reproduction depend on stress duration: a case study of <i>Drosophila suzukii</i>

&lt;p&gt;Data and code for &quot;Thermal limits of survival and reproduction depend on stress duration: a case study of &lt;em&gt;Drosophila suzukii&lt;/em&gt;&quot;. Contains three scripts with accompanying data for reproducing analyses and figures in the manuscript:&lt;/p&gt; &lt;ol&gt; &lt;li&gt;doseresponse_alltraits_bothsexes.R - uses data in &quot;alltraits_summary.xlsx&quot; to fit dose-response curves (Fig. 1) and calculate Lt&lt;sub&gt;50&nbsp;&lt;/sub&gt;for mortality or&nbsp;Et&lt;sub&gt;50&nbsp;&lt;/sub&gt;for coma, productivity, and sterility&lt;/li&gt; &lt;li&gt;coma_proxy_alltraits.R - uses data in &quot;all_data_long.xlsx&quot; to calculate proportions dead/alive, sterile/fertile and average productivity among early vs. late onset coma groups (Fig. 3)&lt;/li&gt; &lt;li&gt;microclimate_injury_accumulation.R - uses data in &quot;TDT_parameters&quot; (derived from Fig. 2 with data shown in Supporting Table 2) and modelled microclimate to estimate accumulated heat injury (per minute) for all traits across the year&nbsp;2018. On a representative summer day (Aug 5), injury accumulation during the day is shown in Fig. 4.&lt;/li&gt; &lt;/ol&gt; &lt;p&gt;For any inquiries or bugs, please contact Michael &Oslash;rsted ([email protected])&lt;/p&gt