This study aims to measure the lung function between 1st year sports therapy university students The WritePass Journal

This study aims to measure the lung function between 1st year sports therapy university students Introduction This study aims to measure the lung function between 1st year sports therapy university students IntroductionResultsDiscussionReferencesRelated Introduction This study aims to measure the lung function between 1st year sports therapy university students. This is appropriate to assess the level of severity of lung diseases such as asthma or cystic fibrosis and identify characteristics when diagnosing other participants.   The study tests both static and dynamic lung volumes by measuring the volume of air expired from the lungs as well as the power of which it is expired. These are measured by a Spirometer machine, which calculates the volume of the lungs forced vital capacity (FVC), which is the maximum volume of air, expired after one maximum inspiration. Also forced expiratory volume (FEV1) showing the percentage of FVC expelled over the time in seconds of which the measurement is made. Lastly by calculating the final measurement of the forced expiratory volume to forced vital capacity ratio (FEV1/FVC) we can see the expiatory power to resistance of airflow within the lungs, allowing to show signs of the lungs percentage ability to fo rcibly expel air within the lungs. This study could be seen to look into the physical fitness and ability of the lungs and other pulmonary factors to perform. With the use of the participants we can see the different levels of fitness between subjects and assess other factors, which could contribute to the outcome of the study. The test itself can be described as a random sampling test, subjects were previously assigned you groups that vary in gender and physical fitness. It is conducted by subjects in a seated position on a bench firstly testing FVC values by forcibly expelling as much air as possible, in one rapid expiration after one inspiration into the spirometer. Secondly by forcibly expelling as much air as possible for as long as possible to calculate the FEV1 value. Finally to show an entire resistance to airflow a FEV1/FVC can be calculated. Averages will be taken of each group and higher values can be seen to show a more powerful and resourceful lung function between Subjects. Other variables and factors co nsidered within the tests are the subject’s height, gender and illnesses or conditions to show any outliers or considerable variances between groups. With these in mind the results will be assessed to show the level of performance within the groups and how these could be affected. Results SUBJECT Group INITIALS Gender Height FVC FEV1 FEV1/FVC NOTES 1 A 1012133 M 167 5.2 4.8 92.31 FVC 2 A 0907562 F 171 4.8 4.25 88.54 Group A 3.96 3 A 1028114 M 182 6.6 5.95 90.15 Group B 3.7475 4 A HH M 170 3.75 3.15 84.00 Group C 4.91714286 5 A 0906679 M 171 5.25 4.62 88.00 Group D 4.81111111 6 A 1027186 M 178 5.9 5.5 93.22 Group E 4.77136364 7 A 1005219 M 171 4.28 3.98 92.99 8 A 1012960 F 160 2.93 2.3 78.50 FEV1 9 A 0919586 F 167 4.01 3.43 85.54 Group A 3.38384615 10 A 1003480 F 164 4.45 3.84 86.29 Group B 3.246 11 E JT M 178.5 #DIV/0! Group C 4.26571429 12 E AO F 168 4.1 3.64 88.78 Group D 4.1 13 E DF F 176 3.01 2.54 84.39 Group E 4.12318182 14 E AD F 167.5 3.47 3.19 91.93 SMO 15 E ER F 163 3.19 2.81 88.09 SMO FVC AV 4.44643678 16 E BG F 167 4.04 3.53 87.38 SMO FEV1 AV 3.8291954 17 E BH M 173 5.57 4.77 85.64 18 E SS M 179 5.54 4.63 83.57 19 E JE M 185 6.13 5.01 81.73 20 E JS M 178 5.33 4.68 87.80 21 E SH M 174 4.81 4.42 91.89 22 E FR M 172 5.6 4.6 82.14 23 E OS M 172 5.4 4.6 85.19 24 E MO M 179.4 5.34 4.71 88.20 25 E GN M 172 4.7 4.3 91.49 26 E MONZ M 177 4.45 3.78 84.94 27 E TREVOR M 177 3.88 3.21 82.73 28 E ALI M 168 5.23 4.7 89.87 29 E JOR M 174 5.88 4.74 80.61 30 D CH M 175 4.49 4.01 89.31 31 D HB F 164 #DIV/0! 32 D RM M 175 4.55 3.86 84.84 33 D AS M 172 4.3 4.11 95.58 34 D KC M 183 4.2 3.91 93.10 35 D CO F 168 4.12 3.7 89.81 36 D SL F 168 4.38 3.2 73.06 37 D JT F 154 3.4 2.9 85.29 38 D CP F 164 3.67 3 81.74 39 D TM F 168.5 3.6 3.03 84.17 40 D AL M 180.5 4.55 3.83 84.18 41 D JA M 178.2 4 3.37 84.25 42 D CTK M 176 4.78 4.18 87.45 43 D AB M 179.9 4.62 4.07 88.10 44 D SB M 176 2.8 2.25 80.36 45 C 1014315 F 172 5.65 5 88.50 46 C 1012212 M 191 6.65 6.2 93.23 47 C 1014640 F 156 3.7 3.55 95.95 48 C 1012633 M 167 3.3 2 60.61 49 C 1016163 M 182 5.6 5.05 90.18 50 C 1013151 M 176 5.2 4.4 84.62 51 C 1011941 M 181 5.95 5.4 90.76 52 C 1022773 M 186 6.2 3.4 54.84 53 C 1011809 M 170 4.51 4.1 90.91 54 C F M 3.47 3.19 91.93 55 C S M 167 3.87 3.81 98.45 56 C L F 156.5 3.65 3.12 85.48 57 B JRS M 181 4.95 4.12 83.23 58 B L Dennis M 183 4.8 4.28 89.17 59 B 1023169 M 186 3.7 3.65 98.65 60 B RWJ M 177 3.15 3.02 95.87 SMO 61 B JM M 168.3 6 5.25 87.50 62 B MH F 161.3 4 3.6 90.00 63 B AB M 161.3 5.05 4.33 85.74 64 B BU M 101.8 5.4 4.6 85.19 65 B JW M 179.1 5.4 4.6 85.19 66 B NC M 169.1 4.32 3.26 75.46 67 B EH M 187 5.32 3.88 72.93 68 B 1009373 F 174 3.65 2.92 80.00 69 B CM M 176.7 5.11 4.24 82.97 70 B JR M 176 5.05 4.45 88.12 71 B EK M 171 5.05 4.28 84.75 72 B RB F 165 4.6 4.29 93.26 SMO 73 B 1007117 F 155 3.9 3.5 89.74 74 B 1017573 M 174 4.8 4.5 93.75 75 B 1027814 M 180 4.3 2.89 67.21 Chest inf 76 E 1010245 F 164 2.01 1.25 62.19 77 E 1027206 F 155 2.38 2.26 94.96 Asthma 78 E 1006974 M 176 2.73 2.7 98.90 79 E 1015301 M 176 3.3 3.28 99.39 SMO 80 D 1007703 M 184 5.81 5.07 87.26 81 B 1020415 F 160 2.76 2.15 77.90 Asthma 82 D 1010931 M 1.89 4.52 3.81 84.29 83 D 1026768 F 160 3.64 3.25 89.29 84 C 1012648 F 167 3.71 3.09 83.29 85 A 1027299 M 182 5.32 4.63 87.03 86 A 1003819 F 176 2.47 2.41 97.57 87 B 1005235 F 161 3.43 2.77 80.76 88 C 1013209 F 3.33 2.96 88.89 89 A 1002116 F 4.83 3.53 73.08 (Figure 1) Raw data Collected within the study, outlining the contained variables and data collected. One-Sample Statistics N Mean Std. Deviation Std. Error Mean Group A 13 4.5992 1.14036 .31628 (Figure 2.0) One sample T-Test comparing group A’s FVC results to the rest of the year. One-Sample Test Test Value = 4.446436782 t df Sig. (2-tailed) Mean Difference 95% Confidence Interval of the Difference Lower Upper Group A .483 12 .638 .15279 -.5363 .8419 (Figure 2.1) One sample T-Test comparing group A’s FVC results to the rest of the year. One-Sample Statistics N Mean Std. Deviation Std. Error Mean Group B 21 4.5114 .84415 .18421 (Figure 2.2) One sample T-Test comparing group B’s FVC results to the rest of the year. One-Sample Test Test Value = 4.446436782 t df Sig. (2-tailed) Mean Difference 95% Confidence Interval of the Difference Lower Upper VAR00001 .353 20 .728 .06499 -.3193 .4492 (Figure 2.3) One sample T-Test comparing group B’s FVC results to the rest of the year. One-Sample Statistics N Mean Std. Deviation Std. Error Mean Group C 14 4.6279 1.19814 .32022 (Figure 2.4) One sample T-Test comparing group C’s FVC results to the rest of the year. One-Sample Test Test Value = 4.446436782 t df Sig. (2-tailed) Mean Difference 95% Confidence Interval of the Difference Lower Upper Group C .567 13 .581 .18142 -.5104 .8732 (Figure 2.5) One sample T-Test comparing group C’s FVC results to the rest of the year. One-Sample Statistics N Mean Std. Deviation Std. Error Mean Group D 17 4.2018 .66987 .16247 (Figure 2.6) One sample T-Test comparing group D’s FVC results to the rest of the year. One-Sample Test Test Value = 4.446436782 t df Sig. (2-tailed) Mean Difference 95% Confidence Interval of the Difference Lower Upper Group D -1.506 16 .152 -.24467 -.5891 .0997 (Figure 2.7) One sample T-Test comparing group D’s FVC results to the rest of the year. One-Sample Statistics N Mean Std. Deviation Std. Error Mean Group E 22 4.3677 1.22493 .26116 (Figure 2.8) One sample T-Test comparing group E’s FVC results to the rest of the year. One-Sample Test Test Value = 4.446436782 t df Sig. (2-tailed) Mean Difference 95% Confidence Interval of the Difference Lower Upper Group E -.301 21 .766 -.07871 -.6218 .4644 (Figure 2.9) One sample T-Test comparing group E’s FVC results to the rest of the year. One-Sample Statistics N Mean Std. Deviation Std. Error Mean Group A 13 4.0300 1.08923 .30210 (Figure 3.0) One sample T-Test comparing group A’s FEV1 results to the rest of the year. One-Sample Test Test Value = 3.829195402 t df Sig. (2-tailed) Mean Difference 95% Confidence Interval of the Difference Lower Upper Group A .665 12 .519 .20080 -.4574 .8590 (Figure 3.1) One sample T-Test comparing group A’s FEV1 results to the rest of the year. One-Sample Statistics N Mean Std. Deviation Std. Error Mean Group B 21 3.8371 .77423 .16895 (Figure 3.2) One sample T-Test comparing group B’s FEV1 results to the rest of the year. One-Sample Test Test Value = 3.829195402 t df Sig. (2-tailed) Mean Difference 95% Confidence Interval of the Difference Lower Upper Group B .047 20 .963 .00795 -.3445 .3604 (Figure 3.3) One sample T-Test comparing group B’s FEV1 results to the rest of the year. One-Sample Statistics N Mean Std. Deviation Std. Error Mean Group C 14 3.9479 1.14264 .30538 (Figure 3.4) One sample T-Test comparing group C’s FEV1 results to the rest of the year. One-Sample Test Test Value = 3.829195402 t df Sig. (2-tailed) Mean Difference 95% Confidence Interval of the Difference Lower Upper Group C .389 13 .704 .11866 -.5411 .7784 (Figure 3.5) One sample T-Test comparing group C’s FEV1 results to the rest of the year. One-Sample Statistics N Mean Std. Deviation Std. Error Mean Group D 17 3.6206 .64917 .15745 (Figure 3.6) One sample T-Test comparing group D’s FEV1 results to the rest of the year. One-Sample Test Test Value = 3.829195402 t df Sig. (2-tailed) Mean Difference 95% Confidence Interval of the Difference Lower Upper Group D -1.325 16 .204 -.20861 -.5424 .1252 (Figure 3.7) One sample T-Test comparing group D’s FEV1 results to the rest of the year. One-Sample Statistics N Mean Std. Deviation Std. Error Mean Group E 22 3.7886 1.02453 .21843 (Figure 3.8) One sample T-Test comparing group E’s FEV1 results to the rest of the year. One-Sample Test Test Value = 3.829195402 t df Sig. (2-tailed) Mean Difference 95% Confidence Interval of the Difference Lower Upper Group E -.186 21 .854 -.04056 -.4948 .4137 (Figure 3.9) One sample T-Test comparing group E’s FEV1 results to the rest of the year. Test of Homogeneity of Variances VAR00002 Levene Statistic df1 df2 Sig. 3.835 4 82 .007 (Figure 4.0) One way ANOVA comparing FVC of each group. ANOVA VAR00002 Sum of Squares df Mean Square F Sig. Between Groups 2.007 4 .502 .472 .756 Within Groups 87.208 82 1.064 Total 89.215 86 (Figure 4.1) One way ANOVA comparing FVC of each group. Multiple Comparisons Dependent Variable:VAR00002 (I) VAR00001 (J) VAR00001 Mean Difference (I-J) Std. Error Sig. 95% Confidence Interval Lower Bound Upper Bound Bonferroni A B .08780 .36394 1.000 -.9622 1.1378 C -.02863 .39721 1.000 -1.1746 1.1173 D .39747 .37996 1.000 -.6987 1.4936 E .23150 .36076 1.000 -.8093 1.2723 B A -.08780 .36394 1.000 -1.1378 .9622 C -.11643 .35582 1.000 -1.1430 .9101 D .30966 .33646 1.000 -.6610 1.2803 E .14370 .31462 1.000 -.7640 1.0514 C A .02863 .39721 1.000 -1.1173 1.1746 B .11643 .35582 1.000 -.9101 1.1430 D .42609 .37219 1.000 -.6477 1.4998 E .26013 .35257 1.000 -.7570 1.2773 D A -.39747 .37996 1.000 -1.4936 .6987 B -.30966 .33646 1.000 -1.2803 .6610 C -.42609 .37219 1.000 -1.4998 .6477 E -.16596 .33302 1.000 -1.1267 .7948 E A -.23150 .36076 1.000 -1.2723 .8093 B -.14370 .31462 1.000 -1.0514 .7640 C -.26013 .35257 1.000 -1.2773 .7570 D .16596 .33302 1.000 -.7948 1.1267 Dunnett T3 A B .08780 .36601 1.000 -1.0511 1.2268 C -.02863 .45008 1.000 -1.4006 1.3433 D .39747 .35557 .940 -.7214 1.5164 E .23150 .41016 1.000 -1.0115 1.4745 B A -.08780 .36601 1.000 -1.2268 1.0511 C -.11643 .36942 1.000 -1.2582 1.0254 D .30966 .24562 .893 -.4197 1.0391 E .14370 .31959 1.000 -.8033 1.0907 C A .02863 .45008 1.000 -1.3433 1.4006 B .11643 .36942 1.000 -1.0254 1.2582 D .42609 .35907 .917 -.6951 1.5473 E .26013 .41321 .999 -.9869 1.5071 D A -.39747 .35557 .940 -1.5164 .7214 B -.30966 .24562 .893 -1.0391 .4197 C -.42609 .35907 .917 -1.5473 .6951 E -.16596 .30757 1.000 -1.0829 .7510 E A -.23150 .41016 1.000 -1.4745 1.0115 B -.14370 .31959 1.000 -1.0907 .8033 C -.26013 .41321 .999 -1.5071 .9869 D .16596 .30757 1.000 -.7510 1.0829 (Figure 4.2) One way ANOVA comparing FVC of each group. Test of Homogeneity of Variances VAR00002 Levene Statistic df1 df2 Sig. 1.485 4 82 .214 (Figure 5.0) One way ANOVA comparing FEV1/FVC of each group. ANOVA VAR00002 Sum of Squares df Mean Square F Sig. Between Groups 63.338 4 15.834 .243 .913 Within Groups 5343.195 82 65.161 Total 5406.532 86 (Figure 5.1) One way ANOVA comparing FEV1/FVC of each group. Multiple Comparisons Dependent Variable:VAR00002 (I) VAR00001 (J) VAR00001 Mean Difference (I-J) Std. Error Sig. 95% Confidence Interval Lower Bound Upper Bound Bonferroni A B 2.36465 2.84873 1.000 -5.8539 10.5832 C 1.93275 3.10914 1.000 -7.0370 10.9025 D 1.47376 2.97412 1.000 -7.1065 10.0540 E .57801 2.82387 1.000 -7.5688 8.7248 B A -2.36465 2.84873 1.000 -10.5832 5.8539 C -.43190 2.78518 1.000 -8.4671 7.6033 D -.89090 2.63361 1.000 -8.4888 6.7070 E -1.78665 2.46267 1.000 -8.8914 5.3181 C A -1.93275 3.10914 1.000 -10.9025 7.0370 B .43190 2.78518 1.000 -7.6033 8.4671 D -.45899 2.91330 1.000 -8.8638 7.9458 E -1.35474 2.75975 1.000 -9.3165 6.6071 D A -1.47376 2.97412 1.000 -10.0540 7.1065 B .89090 2.63361 1.000 -6.7070 8.4888 C .45899 2.91330 1.000 -7.9458 8.8638 E -.89575 2.60669 1.000 -8.4160 6.6245 E A -.57801 2.82387 1.000 -8.7248 7.5688 B 1.78665 2.46267 1.000 -5.3181 8.8914 C 1.35474 2.75975 1.000 -6.6071 9.3165 D .89575 2.60669 1.000 -6.6245 8.4160 Dunnett T3 A B 2.36465 2.45780 .979 -5.0407 9.7700 C 1.93275 3.80046 1.000 -9.9166 13.7821 D 1.47376 2.18161 .998 -5.2430 8.1905 E .57801 2.41005 1.000 -6.6911 7.8471 B A -2.36465 2.45780 .979 -9.7700 5.0407 C -.43190 3.74733 1.000 -12.1297 11.2659 D -.89090 2.08768 1.000 -7.1028 5.3210 E -1.78665 2.32536 .996 -8.6439 5.0706 C A -1.93275 3.80046 1.000 -13.7821 9.9166 B .43190 3.74733 1.000 -11.2659 12.1297 D -.45899 3.57227 1.000 -11.8337 10.9157 E -1.35474 3.71619 1.000 -12.9882 10.2787 D A -1.47376 2.18161 .998 -8.1905 5.2430 B .89090 2.08768 1.000 -5.3210 7.1028 C .45899 3.57227 1.000 -10.9157 11.8337 E -.89575 2.03125 1.000 -6.9231 5.1316 E A -.57801 2.41005 1.000 -7.8471 6.6911 B 1.78665 2.32536 .996 -5.0706 8.6439 C 1.35474 3.71619 1.000 -10.2787 12.9882 D .89575 2.03125 1.000 -5.1316 6.9231 (Figure 5.3) One way ANOVA comparing FEV1/FVC of each group. (Figure 6.0) Graph containing the correlation between Height and FVC results. Group Statistics Gender N Mean Std. Deviation Std. Error Mean FVC Females 30 3.6960 .77678 .14182 Males 57 4.8414 .90564 .11995 (Figure 7.0) Independent samples text comparing FVC results between males and females. Independent Samples Test Levenes Test for Equality of Variances t-test for Equality of Means 95% Confidence Interval of the Difference F Sig. t df Sig. (2-tailed) Mean Difference Std. Error Difference Lower Upper FVC Equal variances assumed 1.665 .200 -5.878 85 .000 -1.14540 .19485 -1.53281 -.75800 Equal variances not assumed -6.166 67.457 .000 -1.14540 .18575 -1.51611 -.77470 (Figure 7.1) Independent samples text comparing FVC results between males and females. Discussion After conducting the study there is much to discuss. Raw data (figure 1) from the tests indicate that some participant did not fill in the required data needed. This can be down to competence of conducting the procedure or observer error asking the question whether this is entirely valid. Furthermore a correct procedure must be outlined and overlooked so that each group performs the same method. Some subjects may have stood up and some may have sat down, possibly causing the results to differ. (Townsend, 1984; Allen et al. 1985) have shown that FVC is affected by body position, 1-2% lower by sitting rather than standing and 7-8% lower supine than to standing. Taking these into account the results could not be described as entirely valid or reliable. As the study looks into identifying and discussing results between student groups we can see how they performed compared to normal values. The subjects appear to deliver between the normal values of 4-5L in males and 3-4L in females for FVC (figure 7.0) this appears to show a significant result meaning males have a higher FVC than females with group C performing the best on average (figure 2.4). (Figure 4.0) shows that the statistic of FVC between the groups has a significance of .007 meaning there is a small difference between them however (figure 4.1) states that the difference is not significant. This essentially shows that although there is an apparent difference between the groups this can be seen as not having an effect on the study. (Figure 3.0) shows that Group A has the highest average FEV1 meaning they have the most power of expiration of air. (Figures 5.0 – 5.1) state that th ere is no significant difference between the values of all the groups with each subject showing results near to the value of 85% this could be seen to have a normal result. With such an apparent loosely based study it is important to consider certain group or subject variances, which can effect the study. Identifying these can create a more reliable and valid study as well as identify further ideas for research. The FVC method is highly effort dependant and has poor reliability as it is measured upon volume of air as well as a less reliable observed rate of exertion. Certain people may not want to exert the entire force needed due to anxiety or other factors such as illness or conditions. (Eston. R. et al. 2009) shows us that although there is no difference between FVC values for healthy people and asthmatics there is a considerable change in dynamic FEV1 values with asthmatics having a much larger decrease in performance from the FVC value. This could be mainly attributed to the fact that asthmatics have difficulty breathing out and therefore exerting a larger force of air from their lungs for a long time could be harder. With this in mind it could be advised that a screening process becomes more prominent before the test it taken these can identify, illnesses, conditions, injuries and even a physical activity questionnaire to see whether more active subject have better results. Any hidden values could the research and discovering more about the subject can help to answer more questions. Height comparisons (figure 6.0) show there is no relationship between the subjects height and FVC value, however it is hard to follow this when it not clear of whether the sitting or standing method has been used. (Ferris et al 1971; Cotes 1979) show that sitting height provides less variability in lung function than standing height, this could show that (figure 6.0) with its varied results show that subjects were standing. (Becklake 1968) explains that there are many other factors that effect lung function results, some of which are not identified within this study. Gender amounts to a change in 30%, body size 22%, age 8% and ethnicity 10% most of which can be identified through a survey. This study may be described as having no significant purpose without the inclusion of further factors detailed by (Becklake 1968). With these included it could be seen to show a purpose and significance with vision to elaborate upon affecting factors however currently this shows a significant variety of results between subject groups. References Becklake,M.R. (1986) Concepts of normality applied to measurement of lung function. American Journal of Medicine; 80: 1158-64. Eston, R. Et al. (2009) Kinanthropometry and Exercise Physiology Laboratory Manual: Tests, Procedures and Data, Volume 2: Physiology. 3rd ed. Oxon, Routledge. Ferris, B et al (1971) correlation of anthropometry and simple tests of pulmonary function. Archives of environmental health; 22: 672-6. McArdle,W.D. et al (2006) Essentials of Exercise Physiology. 3rd ed. Philadelphia, Lippincott Williams Wilkins Townsend, M.C (1984) Spirometric forced expiratory volumes measured in the standing versus sitting posture. American Review of Respiratory Disease; 130:123-4.

Funny Quotes for Your Christmas Celebration

Funny Quotes for Your Christmas Celebration Want to make witty remarks this Christmas? Ogden Nash, Dave Barry, Charles Dickens, and many other authors share their Christmas humor with you on this page. Peter Dickinson The threat of Christmas hung in the air, visible already in the fretful look of passersby as they readied themselves for the meaningless but necessary rites of false jovialities and ill-considered gifts. Max Lucado, God Came Near Were it not for the shepherds, there would have been no reception. And were it not for a group of stargazers, there would have been no gifts. Once again we find ourselves enmeshed in the Holiday Season, that very special time of year when we join with our loved ones in sharing centuries-old traditions such as trying to find a parking space at the mall. We traditionally do this in my family by driving around the parking lot until we see a shopper emerge from the mall, then we follow her, in very much the same spirit as the Three Wise Men, who 2,000 years ago followed a star, week after week, until it led them to a parking space. Ogden Nash People cant concentrate properly on blowing other people to pieces if their minds are poisoned by thoughts suitable to the twenty-fifth of December. Katharine Whitehorn, Roundabout From a commercial point of view, if Christmas did not exist it would be necessary to invent it. Frank McKinney Hubbard ​Next to a circus there aint nothing that packs up and tears out faster than the Christmas spirit. Bill Waterson, Calvin Hobbes Oh look, yet another Christmas TV special! How touching to have the meaning of Christmas brought to us by cola, fast food, and beer... Whod have ever guessed that product consumption, popular entertainment, and spirituality would mix so harmoniously? Dave Barry, Christmas Shopping In the old days, it was not called the Holiday Season; the Christians called it Christmas and went to church; the Jews called it Hanukkah and went to synagogue; the atheists went to parties and drank. People passing each other on the street would say Merry Christmas! or Happy Hanukkah! or (to the atheists) Look out for the wall! W. J. Cameron There has been only one Christmas the rest are anniversaries. Charles Dickens, A Christmas Carol Out upon merry Christmas! Whats Christmas time to you but a time for paying bills without money; a time for finding yourself a year older, but not an hour richer...? If I could work my will, said Scrooge indignantly, every idiot who goes about with Merry Christmas upon his lips should be boiled with his won pudding, and buried with a stake of holly through his heart. He should!