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					 Psychology  2011. Vol. 2, No. 1, 29-34  Copyright © 2011 SciRes.                                                                         DOI:10.4236/psych.2011.21005  Factors Influencing the Development of “Purpose in Life”  and Its Relationship to Coping with Mental Stress  Riichiro Ishida1, Masahiko Okada2  1Faculty of Medicine, Niigata University, Niigata, Japan;  2Division of Clinical Preventive Medicine, Graduate School of Medical   and Dental Sciences, Niigata University, Niigata, Japan.  Email: ishida@med.niigata-u.ac.jp  Received September 30th, 2010; revised December 22nd, 2010; accepted December 26th, 2010.    Purpose: Factors influencing the development of purpose in life (PIL) were examined. Methods: We recruited  67 healthy students of Niigata University (34 males and 33 females, 18-35 years of age). PIL and approval mo- tivation (AM), and memories of experiences (IME) were measured using the PIL test, Martin-Larsen Approval  Motivation Scale (MLAM), and the Early Life and Youth Experiences Inventory. Confusion, heart rate, systolic  blood pressure, and thumb-tip temperature were measured before and during “Evaluating-Integrating Words  Task (EIWT).” Results: In the Profile of Mood States (POMS) tests, changes in the confusion scores were sig- nificantly higher in the weak PIL compared to the firm PIL group. The scores were significantly higher for the  firm AM compared to the weak AM group. Changes in heart rate were significantly higher in the weak PIL  compared to the firm PIL group. IME scores for memories of the beauty of nature, empathetic listening from  parents and teachers were positively or negatively correlated with PIL test scores or MLAM scores for life stag- es: infancy, junior high school, and university. Conclusion: PIL and AM seemed to grow through the experi- ences of the beauty of nature and empathic understanding by parents and teachers during various developmental  stages. Purpose in life had greater influence on emotional response and the autonomic nervous system response  during psychologica l st ress compared to approval motivation    Keywords: Purpose in Life, Approval Motivation, S tress, Confusion, Sympathetic Nervous Activity  Introduction   Every person has the “will” to seek meaning in life or to  achieve purpose in life (PIL) that is a concept drawn from exis- tentialism (Frankl, 1972; Ishida, 2008). Every person is moti- vated to win the approval of others (Ishida, 2008). Recently it  was reported that variations in the stress response, including  emotional and sympathetic nervous system activity depends on  one’s view of life (Ishida, 2008). Crumbaugh and Maholick  (Crumbaugh & Maholic, 1964) developed the PIL test to assess  the intensity of response related to personal meaning in one’s  life, and Sato and Tanaka modified the test for use with a Japa- nese population (Sato & Tanaka, 1974). Larsen and Martin  developed Martin-Larsen Approval Motivation Scale (MLAM)  to assess the intensity of approval motivation (AM) (Ueda &  Yoshimori, 1991), and Ueda and Yoshimori adapted it (Ueda &  Yoshimori, 1991). Motivation can be classified as intrinsic and  extrinsic (Bundra, 1977). The former relates to PIL (Frankl,  1972; Crumbaugh & Maholic, 1964; Sato & Tanaka, 1974),  and the latter relates to the desire to get praise or to avoid pun- ishment by others, such as parents or school teachers. Extrinsic  motivation relates to AM (Ishida, 2008). Persons with a firm  PIL exhibit lower anxiety, less tension, and less acute sympa- thetic nervous system response un der stressful conditions such a s  meeting unfamiliar persons (Ishida, 2008), or watching a kalei- doscopic roller coaster video (Ishida & Okada, 2006). A strong  sense of PIL is widely recognized as an asset for coping with  stress, but the underlining mechanism needs further clarification.  Persons feel comfortable (less confused) when psychological  events are readily integrated and mentally processed. Discom- fort (more confused) occurs when there is difficulty in intellec- tually and emotionally incorporating these events (Ueda &  Yoshimori, 1991; Stanga et al., 2007). Feeling comfortable or  uncomfortable leads to lesser or greater sympathetic nervous  response, respectively (Ishida & Okada, 2006). Our previous  study showed that persons with a firm PIL had an ability to  integrate psychological events wit h less confusion  (Ishida, 2008).  Also, a firm PIL produced less sympathetic nervous system  activity under stressful conditions. In contrast, persons with a  strong need for appro val tended to have more anxiety  and greater  sympathetic nervous system activity during a mental arithmetic  task than persons with less need for approval (Ishida, 2008).  We hypothesized that PIL and AM during the various devel- opmental stages played an important role in the ability to cope  with stressful psychological events. In the present study, we  investigated the correlations between PIL and AM and factors  influencing the development of PIL and AM. We used various  experiences, such as being surrounded by beautiful natural  scenery, or a scenario where parents or school teachers are  providing active and empathetic listening. Self-report ques- tionnaires and autonomic nervous function tests were used to  measure responses to these scenarios.   Method    Subjects  We recruited 67 students (34 males and 33 females, 18-35  R. ISHIDA  ET  AL.  30  years of age) from a variety of departments from Niigata Uni- versity. Subjects were instructed not to drink any alcohol or tea  and not to smoke on the day of the experiment. We did not give  any instructions as for food intake. Each subject was tested  separately. Three subjects were excluded because their behavior  was affecting the autonomic nervous function tests. The sub- jects were assigned to firm PIL group (F-PIL group) or to weak  PIL group (W-PIL group) based on test scores. Subjects were  also assigned to a firm approval motivation group (F-AM group)  or a weak approval motivation group (W-AM group). The study  was approved by the ethics committee of the Faculty of Medi- cine of Niigata University (No. 562) and written informed con- sent was obtained from all subjects.    Measuring PIL and AM  The PIL test was used to measure the intensity of PIL and  consisted of 20 questions, such as, “I have definite goals and  aims,” “My life is filled with exciting and good things,” and “I  would feel my life was worthwhile even if I died today”. The  subjects responded using a 7-point scale (1: not at all, through 7:  very strongly). The total scores were standardized to 50, and  standard deviation (SD) to 10. Higher scores indicated a strong-  er sense of PIL. MLAM was used to measure the intensity of  AM and consisted of 20 items such as “conforming to the ex- pectations of others,” “never begging a person’s pardon,” and  “acceptance of punishment by others”. The subjects responded  using a 5-point scale (1: not at all, through 5: very strongly).  MLAM scores ranged from 20 to 100 points. Higher scores  indicated a st ronger AM.    Evaluatin g the Intensity of Memories of Experiences  (IME)  We used the Early Life and Youth Experiences Inventory  (EYEI), which is a newer version of the Early Life, Youth, and  Adulthood Experiences Inventory (EYAEI) (Ishida, 2008). In  this test, the subjects were asked: “Do you remember having  feelings that were associated with the beauty of nature?” “Do  you remember if your parents listened to you with empathy and  support?” and “Do you remember if your teachers listened to  you with empathy and support?” These questions were sepa- rately directed towards times of infancy ( < 6 years of age),  elementary school (6-11 years of age), junior high school  (12-14 years of age), senior high school (15-17 years of age),  and university (18 years of age to the present). The subjects  answered using a 7-point scale (1: not at all, through 7: very  strongly).    Experimental Stress Using “Evaluating-Integrating  Words Ta sk (EIWT)”  We prepared a 30 cm × 50 cm sheet printed with six open  circles; “My purpose in life” was written in the center circle  (Figure 1). Twenty chips (3 cm in diameter) were labeled with  words relating to psychological events. These words were ob- tained from random samples of “Word Association Norms”  (Umemoto, 1969). In order to avoid biased responses, two sets  of 20 words were prepared, and then one set was randomly  assigned to each subject. After completion of the psychological  tests, subjects performed a four-minute task in the presence of    Figure 1.  An example of Evaluating-Integrating Words Task (EIWT), using a set  of 20 words. The alternative set included 20 different words: school,  long, question, black, swim, escape, back, friendship, want, shout,  abandonment, wages, eruption, crow, debt, cause, plan, publicity, rea- son, and popularity.    the experimenter (male, 59 years of age). The experimenter said,  “You should place the 20 words within six open circles in four  minutes. If the word more accurately describes your purpose in  life, you should place it closer to the center of the circle. Place  words of similar value at the same distance from the center.  After the task, you should explain your arrangement of the  words. Any talking during the experiment is prohibited.” We  originally developed this protocol: “Evaluating-Integrating Words  Task (EIWT)”.    Autonomic Nervous Function Tests  The parameters of the autonomic nervous activity were heart  rate (HR), systolic blood pressure (SBP), and thumb-tip tem- perature (TTT). These were measured before and during EIWT,  after sitting comfortably in a chair for 20 minutes (Munir et al.,  1996). HR and SBP were recorded with an electric sphygmo- manometer (ES-P100 0, TERUMO-Co., Ltd. Tokyo, Jpan), and  TTT was measured with a skin thermometer (D717, TECH- NOL7-Co., Ltd.). Room temperature was set at 23.99 ± 1.27℃,  humidity at 54.90 ± 2.15%, illumination at 757.76 ± 60.70 lx,  and noise level at 39.96 ± 0.27 dB. Atmospheric pressure  (1017.81 ± 5.97 hPa) was measured at the time of the experi- ment. The data were expressed as mean ± SD.    Measuring Mood  In order to measure mood, we used the Profile of Mood  States (POMS) which is a self-report test developed by McNair  et al. (Aroian et al., 2007) and revised by Yokoyama (Yoko- yama, 2006). The test included questions about six moods:  R. ISHIDA  ET  AL. 31 confusion, tension-anxiety, depression-dejection, fatigue, an- ger-hostility, and vigor. Confusion, for example, included five  elements: “confused”, “unable to concentrate”, “bewildered”,  “efficient”, and “forgetful.” Responses were set on a 5-point  scale (1: not at all, through 5: very strongly). Mean and SD of  scores for each subscale were 50 and 10 points, respectively.  Higher scores indicated more confusion (Yokoyama, 2006).      Statistical Analyses  Chi-square test was used for evaluating differences in gender  between the F-PIL and W-PIL groups and the F-AM and  W-AM groups. An unpaired 2-tailed t test was used for evalu- ating differences in age, PIL test scores, MLAM test scores,  and environmental conditions between the two groups. A paired  2-tailed t test was used for evaluating the changes in scores of  POMS and each of the three autonomic indicators before and  during EIWT. The odds ratios (OR) of IME scores (strong  memory:  5 points, and weak memory:  4 points), gender,  and age were obtained to predict PIL and AM. ANCOVA was  done for evaluating change of scores in the POMS test. AN- COVA was also done for PIL, MLAM scores, and gender.  ANOVAs were performed for evaluating change in heart rate  (CH-HR), change in systolic blood pressure (CH-SBP), change  in thumb-tip temperature (CH-TTT), PIL, MLAM score, gender,  and age. Pearson’s correlation analyses and partial correlation  analyses were done for correlations between PIL test scores and  MLAM scores and between CH-CS and CH-HR, CH-SBP, and  CH-TTT. Statistical significance was accepted at the p < 0.05  level. Bonferroni correction was also applied. SPSS software  (SPSS Japan Inc, Tokyo, Japan) was used for the statistical  analyses.  Figure 2.  Correlations between purpose in life test scores and Martin-Larsen  Approval Motivation Scale (MLAM) scores. Pearson’s correlation  coefficient is -0.305 (p < 0.05) and partial correlation coefficient con- trolling for gender and age is -0.270(p < 0.05). Line indicates regres- sion.    IME Scores  IME scores of remembering feelings associated with the  beauty of nature during infancy, junior high school, and univer-  sity were positively correlated with PIL test scores; however  IME scores were negatively correlated with MLAM scores for  the university age time period (Table 2). IME scores for memo- ries of empathetic listening from parents during the university  period were positively correlated with PIL test scores. The IME  scores of elementary school age were negatively correlated with  PIL test scores. The IME scores of elementary school age were  positively correlated with MLAM scores. IME scores for em- pathetic listening by teachers during the junior high school age  were positively correlated with PIL test scores. The IME scores  in senior high school age were positively correlated with  MLAM scores. The IME scores during infancy were negatively  correlated with MLAM scores. Age was positively correlated  with PIL test scores.   Results    Basic Characteristics  The F-PIL group was significantly older than the W-PIL  group (Table 1). MLAM scores were significantly higher for  the W-PIL group compared to the F-PIL group. Significant  negative correlations were observed between PIL test scores  and MLAM scores using Pearson’s coefficients and also by  partial correlation coefficients (Figure 2).    Parameters of the Autonomic Nervous System  After Bonferroni corrections, POMS scores showed significant   Table 1.  Demographic and psychological characteristics of firm purpose in life (F-PIL) and weak purpose in life (W-PIL) groups and firm approval motiva- tion (F-AM) and weak approval motivation (W-AM) groups.  PIL  AM   Parameters F-PIL group  (n = 36) W-PIL group  (n = 31) p F-AM group  (n = 34) W-AM group  (n = 33) p  Demographic parameters        Subjects (male/female): n (17/19) (17/14) 0.627 (16/18) (18/15) 0.628  Age, y 21.50 ± 2.89 20.19 ± 1.35 * 20.50 ± 1.58 21. 30 ± 2.97 0. 171  Psychological parameters        PIL test scores  (points) 59.78 ± 4.22 45.23 ± 6.86 *** 51.94 ± 9.72 54.18 ±  8.59 0.32 2  MLAM sco res (points) 60.58 ± 7.48 65.55 ± 7.19 ** 68.88 ± 4.93 56.70 ± 4.44 ***  n: number of subjects,  PIL: purp ose in  li fe, MLAM: Martin-Lar sen App roval Motivation  Scale, AM: approval motivation. Data are mean ± standard deviation (SD). *p <  0.05, **p < 0.01, ***p < 0.001.  R. ISHIDA  ET  AL.  32  Table 2.  Correlations of purpose in life test (PIL) scores and Martin-Larsen Approval Motivation Scale (MLAM) scores, and intensity of memories of experi- ences (IME) score for five developmental sta ges and demographic characteristics: Logistic   re g r e s s i o n  a nalysis (N = 67).  PIL AM  Memories of the  beauty of nature  Empathetic  listening by  parents  Empathetic  listening by  teachers  Memories of the  beauty of nature  Empathetic  listening by  parents  Empathetic  listening by  teachers  Parameters  Coef p Coef p Coef p Coef p Coef p Coef p  IME scores              Infancy 3.97 * 0.86 0.5832.46 0.073–0.64 0.692 –0.52 0.705 –4.48 **  Elementary school –2.35 0.059 –3.78 * –1.22 0.316–0.71 0.578 4.51 * 1.71 0.198 Junior high school 2.62 * 0.69 0.5033.28 * –1.71 0.134 –0.96 0.386 1.28 0.218 Senior high school –1.66 0.223 1.36 0.2560.15 0.894–0.27 0.853 0.35 0.778 4.75 **  University 4.66 ** 2.62 * –0.60 0.640–2.45 * –2.44 0.072 –1.99 0.096 Gender –1.68 0.148     –0.56 0.549      Age 0.76 *     0.08 0.662      Constant –22.45 *     0.61 0.862       Odds ratio Odds ratio Odds ratio Odds ratio Odds ratio Odds ratio  IME scores        Infancy 52.79 2.37 11.74 0.53 0.60 0.01  Elementary school 0.10 0.02 0.30 0.49 90.93 5.50  Junior high school 13.69 1.99 26.56 0.18 0.38 3.60  Senior high school 0.19 3.89 1.16 0.77 1.42 115.49  University 106.03 13.74 0.55 0.09 0.09 0.14  Gender 0.19   0.57    Age 2.14   1.08    AM: approval motivation. In the logistic regression analyses, ‘1’ and ‘0’ were assigned to the F-PIL and W-PIL groups, F-AM and W-AM groups were the dependent  variables, IME scores ( strong memory:  5 points, and weak  memory:  4 points) were the independent variables: memories of the beauty of nature, empathetic listening  by parents a nd teachers, and male and female. *p < 0.05, **p < 0.01.    increase in confusion before and during EIWT; HR and SBP  were significantly increased, and TTT was significantly de- creased before and during EIWT. In POMS test, changes in  confusion (CH-CS) were significantly higher for the W-PIL  compared to the F-PIL group. The scores were significantly  higher for F-AM compared to the W-AM group (Table 3).  CH-HR was significantly higher for W-PIL compared to the  F-PIL group after Bonferroni correction. Pearson’s correlation  coefficients (r = 0.309) and partial correlation coefficients (r =  0.333) between CH-CS and CH-SBP were significant after  Bonferroni corr e ction.   Discussion   We developed EIWT as a psychological test to assess the  ability to cope with stressful psychological events. We found  that confusion and autonomic nervous responses such as HR,  SBP, and TTT changed significantly during the test. The results  showed that the test itself might be a source of emotional stress  for the subjects. We found that the intensity of PIL was in- versely correlated with AM. Persons with a firm PIL showed  fewer changes in the scores that reflected less confusion during  EIWT. Whereas, persons with a firm AM showed much larger  changes in scores that reflected confusion compared to those  with a firm PIL. It can be concluded that PIL and AM grown  and developed through the stages of infancy, elementary school,  junior high school, senior high school and university.  A firm purpose in life including weak approval motivation  can be controlled with conscious regulation, while autonomic  nervous functions can not (Ishida & Okada, 2006). Strong  memories of the beauty of nature during infancy, junior high  school, and university, in fact, facilitated the growth of intrinsic  motivation and a firm PIL (Table 2). Strong memories of such  experiences during the university period decreased extrinsic  motivation and AM. Strong memories of empathic understand- ing from parents during the university age facilitated the  R. ISHIDA  ET  AL. 33    Table 3.  Change in scores reflecting confusion (CH-CS) and cardiovascular measures for F-PIL and W-PIL groups and for F-AM and W -A M  groups: Analysis  of covariance (ANCOVA) for CH-CS and analysis of variance (ANOVA) for change in heart rate (CH-HR), systolic blood pressure (CH-SBP), and  thumb-tip temperature (CH-TTT).  PIL AM  Parameters F-PIL group  (n = 36) W-PIL group  (n = 31) p  F-AM group  (n = 34) W-AM gro u p   (n = 33) p   CH-CS (point s) 5.92 ± 11.84 12.19 ± 12.07 * 9.97 ± 14.60 7.64 ±  9.36 *  CH-HR (beats/min) 8.78 ± 6.09 12.00 ± 7.19 + 10.32 ± 6.34 10.21 ± 7.27 0.610  CH-SBP (mmHg) 4.89 ± 7.30 5 .10 ± 7.09 0.367 4.35 ± 7. 56 5.64 ± 6.76 0.580  CH-TTT (℃) 1.00 ± 0.91 1 .07 ± 0.97 0.420 1.09 ± 0.92 0.97 ± 0.96 0.503  PIL: purpose in life; AM: approval motiva tion; F-PIL: fi rm purpose in life; W-PIL : weak  purp ose  in li fe; F-A M: firm approval m otivation; W- AM: weak approval motiva- tion. *p < 0.05, +p < 0 .05 / 3 = 0. 0 16 after Bonferroni c orrection.    development of firm PIL. Furthermore, the strong memories of  empathic understanding from teachers in junior high school age  facilitated firm PIL. Strong memories of empathic understand- ing from teachers during infancy decreased AM. Shirasa re- ported that children showed rapid mental and physical devel- opment during infancy, rejected their parents, and rejected or  showed respect for teachers during junior high school age.  Adolescents also worried about and were willing to establish  PIL during university age (Shirasa, 1981). Existing data indi- cated that personality was affected by traits that were estab- lished during each developmental stage (Shirasa, 1981; Allen,  2000). The present data supports these studies. Surprisingly,  strong memories of empathic understanding by parents during  elementary school age decreased PIL; whereas strong memories  of empathic understanding from teachers during senior high  school age increased AM. A previous study showed that con- formation to others’ expectation decreased intrinsic motivation  and increased extrinsic motivation (Ishida, 2008; Bundra, 1977).  Children imitate parental lifestyle without any criticisms during  elementary school age (Shirasa, 1981), and will willingly dem- onstrate behaviors, such as preparing to enter into a “good uni- versity” and seeking out “good company” (Shirasa, 1981). This  may support the decrease of PIL.  Regarding PIL, the changes in both CH-CS and CH-HR were  lower in the F-PIL group than the W-PIL group. CH-CS was  positively correlated with CH-HR. Regarding AM, changes in  CH-CS were greater in the F-AM group than in the W-AM  group. CH-CS was not significantly correlated with CH-HR,  but was positively correlated with CH-SBP. These findings  suggest that PIL influences emotion and the autonomic nervous  system more strongly than AM. It is apparent that strong mem- ories during the various developmental stages play an important  role in the ability to cope with stressful psychological events  (Shirasa, 1981; Allen, 2000).  There are some limitations in this study. The subjects were  students. Future studies should include various age groups and  occupations. Since elementary school spans 6 years, data col- lection was arbitrarily divided into a lower age and a highe r age  (Shirasa, 1981). The experiments were performed using the  hypothesis that EIWT reflected “evaluation and integration of  psychological events.”; however, we did not define this concept.  Experimenter bias might also be a factor.    Conclusion   Purpose in life had a greater influence than approval motiva- tion on emotional response and autonomic nervous system  function during psychological stress. Purpose in life and moti- vation based on the need for approval seem to grow through  experiences such as the exposure to the beauty of nature and  supportive and empathic understanding from parents and  teachers during various developmental stages.   Acknowledgement   This study was supported by a Grant-in-Aid for Science Re- search from the Japanese Society for the Promotion of Science  (No. 19927018; 2007). The authors wish to express their grati- tude to Yuko Ishida for the data analysis.   References    Al-Ani, M., Munir, S. M., White, M., Townend, J., & Coote, J. H.  (1996). Changes in R-R variability before and after endurance train- ing measured by power spectral analysis and by the effect of isomet- ric contraction. European Journal of Applied Physiology, 74, 397-  403.  Allen, B. P. (2000). Personality Theories (3rd Edition). Boston: Allyn  and Bacon.  Aroian, K. J., Kulwick i, A., Kaskiri,  E. A., Te mplin, T. N.,  & Wells, C.  L. (2007). Psychometric evaluation of the Arabic language version of  the Profile of Mood States. Research in Nursing & Health, 30,  531-541. doi:10.1002/nur.20211  Bundra, A. (1977). Social learning theory: Upper saddle river. N. J: Pren- tice Hall.  Crumbaugh, J. C., & Maholic, L. T. (1964). 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