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![]() Open Journal of Statistics, 2012, 2, 219-223 http://dx.doi.org/10.4236/ojs.2012.22027 Published Online April 2012 (http://www.SciRP.org/journal/ojs) 219 Study of the Effect of Food Habit, Lifestyle and Daily Trip on Physical and Mental Status of Subjects at Islamic University in Kushtia, Bangladesh* Shahedur Rahman1, Anowar Khasru Parvez2#, Abdus Sabur3, Shahj ah an A li 3 1Department of Genetic Engineering and Biotechnology, Jessore Science and Technology University, Jessore, Bangladesh 2Department of Microbiology, Jahangirnagar University, Dhaka, Bangladesh 3Department of Accounting and Inform ation S ystems, Islamic University, Kushtia, Bangladesh Email: #[email protected] Received November 20, 2011; revised December 25, 2011; accepted January 10, 2012 ABSTRACT This is a qualitative (study that used framework analysis) to examine by interviews among University personnel who live inside and o utside the Islamic University campus in Kushtia, Ban gladesh. In the present study, we found that sub- jects who live inside of the University feel better physically and mentally than the nonresident subjects. It was found that residents are more fit and feel better during and after class time. Resident subjects have less stress and maintain balanced diet for which they have good average BMI value than the nonresident subjects. In addition nonresident sub- jects have suffered diseases comparatively much more than resident subjects. Keywords: Food Habit; Life Style; Daily Trip; Physical Health; Mental Health; Health Risk 1. Introduction A person’s life style, mental health and physical health are closely related. They often affect one another. Recent research on psycho physiology revealed that some mental health problems/mental stress conditions can cause phy- sical ailments. Lifestyle factors, mental and physical stress, food habit etc can also influence the onset and progression of various diseases like cancer, cardiovascu- lar disease, diabetes mellitus (type 1 & type 2), [1] infec- tious disease [2], myocardial ischaemia [3], cell aging [4], inherited long QT syndrome, coronary heart disease [4], mutation in DNA sequence, immune system disorders and other problems. Some time the use of psychological techniques can even reduce the risk of these most major diseases [4]. Increasing evidence suggests that diet and lifestyle in childhood and adolescence also have a potential lifelong effect on risks for many chronic diseases. The risk for diabetes was almost 2-fold higher in subjects aged > 40 compared with the age group 20 - 30, systolic BP > 140 mm Hg, and waist hip ratio (WHR) for men. Significant association of BMI and type 2 diabetes was also ob- served for females. BMI > 30 showed to be exceedingly risky state for the occurrence of diabetes [5,6]. Since there have been very few studies on this issue in Asian countries, the present questionnaire survey was elucidated to investigate the relationship between food habit, various stressful life events and disease onset and prognosis in a community of a public University of Bangladesh. Islamic University, Kushtia is situated on the boundary between two districts Kushtia and Jhenai- dah. It is 24.5 km away from Kushtia town, 23.5 km away from Jhenaidah town and 15 km away from Shailkupa. Every day students, teachers, and staffs are transported from these three towns who reside there, to the University campus. And after that time they are transported back to their resident by the University bus. This daily trip can cause mental and physical stress to a person. There are six halls for students (four for males and two for females) in university campus. Their capac- ity is approximately 2200. There are 7 quarters for teach- ers and staff, a dorm for teacher in University campus. The teacher, staff and student who stay in campus gener- ally do not need to travel daily to Kushtia, Jhenaidah or Shailkupa. There, it is reasonable to assume they do not have same kind of stress than others. There is a small group of student and staff who neither live inside Uni- versity campus nor Kushtia, Jhenaidah or Shailkupa. They live within 1 km of area from campus and they have different mode of transportation. In the present study, we aimed to find the effect of food habit, lifestyle *The authors declare that they have no competing interests. #Corresponding author. C opyright © 2012 SciRes. OJS ![]() S. RAHMAN ET AL. 220 and daily trip on physical and mental status among the subjects who live inside the campus and outside the campus. 2. Methods 2.1. Study Subjects This is a qualitative study that used framework analysis to examine interviews among University personnel in- cluding teacher, student, and staff. The study comprised 208 subjects (184 students, 17 staffs, 7 teachers). Among them 112 were male and 96 were female. The subjects were randomly chosen. All participants were interviewed by using standard questionnaires that evaluated lifestyle habits, food habits, trip habit, clinical and biological characteristics, etc. In this work, we included 160 smok- ers and 45 nonsmokers. To join th e study, the participant had to sign a written informed consent (there they all agree about publishing the study result). Because the study simulates the usual practice in University in Bang- ladesh, an ethical approval was not necessary. 2.2. Statistical Analysis The number of enrolled participants was found to be adequate to evaluate two-sided standardized differences between the subgroups of the study. Dietary assessment/ food intake variables, socio-demographic and lifestyle variables, anthropometric, clinical and biochemical char- acteristics (BMI), physical activity variables, trip vari- ables and stamina variables are presented in absolute and relative frequencies. Associations between categorical variables were evaluated by means Pearson’s correlation test, while differences between categorical and several biochemical, clinical and nutritional variables were eva- luated, i.e. standardized residuals against fitted values. All reported p-values are based on two-sided tests and compared to a significance level of 0.05 and 0.01. SPSS 10 (SPSS Inc., Chicago, IL, USA) software was used for all the statistical calculations . 3. Results From Table 1, it is evident that nonresident subjects do more physical exercise then resident person. It is ob- served that the resident subjects have higher percentage of normal BMI than nonresident person. On the other hand, nonresident people are either more over weight or underweight than resident subjects. There is a significant correlation between nonresident and resident personnel’s BMI (0.230 at 0.05 level). So the correlation proves that there is good relationship between residence and BMI. It is clear that nonresident subjects suffer from differ- ent diseases than resident subjects. They also suffered higher rates of hereditary disease, skin disease, blood Table 1. Comparison between various stress variable be- tween nonresident and resident subjects. Parameters NonresidentResident No exercise 29.36% 36.58% Walk 40.5% 39% Game 17.46% 14.63% Others 5.6% 6.1% Walk & game 4.8% 2.4% Physical exercise habit Walk & other 2.4% 1.2% Unknown 1.6% 1.2% Under weight 15.1% 8.5% Normal 68.3% 85.4% BMI Over weight 15.1% 4.9% Hereditary 3.2% - Environmental 4.8% 1.22% Skin 8% 6.1% Blood related 0.8% - Food born 0.8% 2.44% Water born 0.8% 3.7% Mix 4% 1.2% Others 8.7% 9.8% Disease No disease 69% 75.6% Meat 43.9% 38.9% Red meat 19.5% 20.6% White meat 4.9% 8.7% Fish 19.5% 24.6.55% Vegetables 41.5% 31% Fruits 25.6% 26.2% Food habit pattern Mix 29.3% 39.7% 1 (hour) 2.4% 4.8% 2 (hours) 19.5% 21.4% 3 (hours) 19.5% 18.3% 4 (hours) 25.66% 20.6% 5 (hours) 7.32% 7.1% 6 (hours) 8.5% 11.9% Study time 6< (hours) 12.2% 3.19% Yes 55.55% 59.75% Balance diet No 44.44% 40.24% Sleep before 12 a.m. 37.30% 29.26% Sleep after 12 a.m . 62.69% 70.73% Wak e u p b ef o r e 7 a.m. 73. 01% 57.31% Sleeping habit Wake up after 7 a.m. 25.39% 41.46% related disease and other disease. Though resident sub- jects have higher rate of food born and waterborne dis- eases. Table 1 show that there is no significant differ- Copyright © 2012 SciRes. OJS ![]() S. RAHMAN ET AL. Copyright © 2012 SciRes. OJS 221 lowest of 1.022 to the highest of 1.065. It is obser ved th at 65 percent stress determined by the other variables, which are not considered in our analysis. ence in food habit between resident and nonresident sub- jects with respect to meat and fish consumption. But in case of mix food resident subjects like it more than the nonresident subjects. On the other hand, higher percent- age of resident person studies more than six hours. This data shows that more resident subjects maintain balanced diet then than the nonresident subjects. 4. Discussion Many studies show that poor physical health outcomes Table 1 illustrates the sleeping habit pattern of resi- dent and nonresident subjects. The data shows higher percentages of nonresident person go to bed early than resident person. The data shows that higher percentage of nonresident persons wake up early in the morning then the resident person. There is significant correlation pre- sent between residence and wake up time at 0.05 levels (–0.164). Significant correlation also present between residence and bed time. It is found that there is good re- lationship between residence and wake up time (–0.164 at 0.05 level), residence and bed time (0.238 at 0.01 level) (Table 2). Table 2. Correlations between sleeping time and residence. Residence Wakeup time Bed time Residence Pearson Correlation 1.000 –0.164(*) –0.083 Sig. (2-tailed) 0.0 0.018 0.234 N 208 208 208 Wakeup timePearson Correlation –0.164(*) 1.000 0.238(**) Sig. (2-tailed) 0.018 0.0 0.001 N 208 208 208 Bed time Pearson Correlation –0.083 0.238(**) 1.000 Sig. (2-tailed) 0.234 0.001 0.0 N 208 208 208 Figure 1 shows the relationship between resident and nonresident subject’s mental and physical feelings just after coming to campus and in classroom. Resident per- son physically and mentally feel better than the nonresi- dent person during and after class hour. It is found that there is good relationship between residence and physical feelings (0.145 at 0.05 level), residence and mental feel- ings (0.298 at 0.01 level). *Correlation is significant at the 0.05 level (2-tailed); **Correlation is sig- nificant at the 0.01 level (2-tailed). Table 3. Regression analysis (variables in the equation). Variables BetaSE Beta t Sig. ToleranceVIF Constant Balanced Diet BMI Exercise Income Table 3 indicates that selected independent variables explain 35 percent variations in stress. All the independ- ent variables are significant at 0 percent level of signifi- cance. The highest contributions for reducing stress are exercise, income and balanced diet as per primary data. It is to be noted that there is no multicollinearity among the independent variables since the range of VIF are from the isease –0.358 0.244 0.183 0.328 0.387 0.193 0.212 0.057 0.065 0.060 0.080 0.062 0.249 0.163 0.315 0.276 0.179 –1.687 4.259 2.840 5.427 4.825 3.128 0.093 0.000 0.005 0.000 0.000 0.002 0.939 0.967 0.949 0.977 0.978 1.065 1.034 1.053 1.023 1.022 D Figure 1. Mental and physical feelings just after coming to campus and in classroom. ![]() S. RAHMAN ET AL. 222 result from higher level of stress including blood pres- sure, hypertension [7,8], self-reported illness [9], im- mune function, diabetes, hyperglycemia [10], heart dis- ease [11], dyslipidemia [12], preterm birth [13] and in- creased carotid artery intima-media thickness [14]. In addition, health damaging behaviours such as drug mis- use [15] and cigarette smoking [16] have also been found to bear strong correlation with stress. Poor mental health is also related to stress it include psychological distress [17], depression [18], reduced psy- chological well-being [19] and psychological functioning [20], poor mental health [21], increased anxiety [22], suicidal ideation [15] and reduced self-esteem. Several of the studies specifically considered the effect of stress on the management of chronic diseases includ- ing hypertension [23], HIV/ A IDS [24], sickle cell disease [25], mental illness [26], substance misuse problems [22] and myocardial infarction [11]. Elevated stress hormones contribute to the development of metabolic syndrome that in turn may be a risk factor for coronary heart dis- ease and depression. This study is a cross-sectional study that cannot pro- vide causal relationships but can only be suggestive of future research. The evaluation was ascertained through a questionnaire. We cannot exclude the possibility of un- der-reporting or over-reporting, although subjects com- pleted the questionnaires with the help and supervision of well-trained staff. Further evaluation could increase the accuracy of our findings. Also, because of a high degree of statistical co-linearity, ability to d istinguish the effects of our subjects was limited. In addition, a limited varia- tion in intakes of meat, fish, milk, etc. in our subjects could lead to insufficient statistical power to detect sig- nificant associations. From this study it observed that the person who lives within the campus goes to bed late and at the same time they wake up late at the morning then their nonresident counterparts. Because of this resident subjects can spend more time to study at night. The data also shows that resident subjects spent less time doing physical exercise than the nonresident personnel. This data proves that the resident person spent more time for study. Data also shows that there is not much difference in food habit between resident and nonresident subjects in case of meat and fish (protein). But in case of mixed food more resident subjects like it than the nonresidents be- cause resident subjects experience monotony. And more resident subjects maintain balanced diet than the non- resident subjects. The comparison of BMI among resi- dent and nonresident subjects also suggests the above information. BMI comparison shows that more resident person have their BMI range at normal level than the nonresident person, and the percentage of BMI range of nonresident person is higher in case of underweight and overweight. The data also suggest that after traveling from Kushtia, Jhenaidah and Shailkupa higher percentage of nonresi- dent subjects feel “tired” and “not well” both physically and mentally just after reaching University and during and after class. On the other hand, resident do not have to travel and much lower percentage of them feel “tired” and “not well” both physically and mentally. The data suggests that nonresident person have to bear more stress than the r esident person. We also foun d in our study that the occurrence of disease is less frequent in resident per- son than the nonresident person. However, the preva- lence of food and waterborne disease is grater among resident subjects than the nonresident subjects due to unhygienic conditions in hall dinning. Food cost of vari- ous income levels also varies. Students spent less money for their food compared to higher income level teachers and staffs. It is concluded that nonresident person face more stress then the resident person. To deal with this stress maintain balanced diet, more physical exercise, hygienic practice may be helpful. On the other hand the University could be transformed to a fully residential university, because University is spending $1000 - $2000 every day for transporting students, teachers and staffs, but higher numbers of these nonr esident subjects are under physical and mental stress due to the need to travel. 5. Consent The study was performed with informed consent and following all the guidelines for experimental investiga- tions required by the Institutional Research and Ethics Committee. 6. Acknowledgements We thank Department of Biotechnology & Genetic En- gineering, Islamic University and the respondents who took part in the stud y. REFERENCES [1] K. Nakayama, K. Yamaguchi, S. Maruyama and K. Mo- rimoto, “The Relationship of Lifestyle Factors, Personal Character, and Mental Health Status of Employees of a Major Japanese Electrical Manufacturer,” Environmental Health and Preventive Medicine, Vol. 5, No. 4, 2001, pp. 144-149. doi:10.1007/BF02918290 [2] S. Cohen and G. M. Williamson, “Stress and Infectious Disease in Humans,” Psychological Bulletin, Vol. 109, No. 1, 1991, pp. 5-24. doi:10.1037/0033-2909.109.1.5 [3] P. C. Strike and A. Steptoe, “Systematic Review of Men- tal Stress-Induced Myocardial Ischaemia,” European Heart Journal, Vol. 24, No. 8, 2003, pp. 690-693. doi:10.1016/S0195-668X(02)00615-2 Copyright © 2012 SciRes. OJS ![]() S. RAHMAN ET AL. 223 [4] M. Bambling, “Mind, Body and Heart: Psychotherapy and the Relationship between Mental and Physical Health,” Psychoter in Austerilia, Vol. 12, 2006, pp. 52- 59. [5] A. Hussain, S. Vaaler, M. A. Sayeed, H. Mahtab, S. M. K. Ali and A. K. A. Khan, “Type 2 Diabetes and Impaired Fasting Blood Glucose in Rural Bangladesh: A Popula- tion Based Study,” European Journal of Public Health, Vol. 17, No. 3, 2006, pp. 291-296. doi:10.1093/eurpub/ckl235 [6] Y. Paradies, “A Review of the Relationship between Psy- chosocial Stress and Chronic Disease for Indigenous and African American Peoples,” Cooperative Centre for Abo- riginal Health, Darwin, 2004. [7] R. Corti, R. Hutter, J. Badimon and V. Fuster, “Evolving Concepts in the Triad of Atherosclerosis, Inflammation and Thrombosis,” Journal of Thrombosis and Throm- bolysis, Vol. 17, No. 1, 2004, pp. 35-44. doi:10.1023/B:THRO.0000036027.39353.70 [8] R. Din-Dzietham, W. N. Nembhard, R. Collins and S. K. Davis, “Perceived Stress Following Race-Based Dis- crimination at Work Is Associated with Hypertension in African-Americans. The Metro Atlanta Heart Disease Study, 1999-2001,” Social Science & Medicine, Vol. 58, No. 3, 2004, pp. 449-461. doi:10.1016/S0277-9536(03)00211-9 [9] D. Williams and K. A. Lawler, “Stress and Illness in Low-Income Women: The Roles of Hardiness, John Henryism, and Race,” Women Health, Vol. 32, No. 4, 2001, pp. 61-75. doi:10.1300/J013v32n04_04 [10] P. H. Skinner and D. Silverman-Peach, “Biabetes and Native Americans: Sociocultural Change, Stress and Cop- ing,” Native American Research and Training Center, 1989. [11] M. A. Ong and T. Weeramanthri, “Stress and Worry Are Central Issues for Indigenous Heart Attack Survivors in the Northern Territory,” Australian Journal of Primary Health, Vol. 8, No. 2, 2002, pp. 17-20. doi:10.1071/PY02021 [12] E. H. Johnson, P. Collier, P. Nazzaro and D. C. Gilbert, “Psychological and Physiological Predictors of Lipids in Black Males,” Journal of Behavioral Medicine, Vol. 15, No. 3, 1992, pp. 285-298. doi:10.1007/BF00845357 [13] N. Dole, D. A. Savitz, I. Hertz-Picciotto, A. M. Siega-Riz, M. J. McMahon and P. Buekens, “Maternal Stress and Preterm Birth,” American Journal of Epidemiology, Vol. 157, No. 1, 2003, pp. 14-24. doi:10.1093/aje/kwf176 [14] W. M. Troxel, K. A. Matthews, I. T. Bromberger and K. Sutton-Tyrrell, “Chronic Stress Burden, Discrimination, and Subclinical Cardiovascular Disease in African Ameri- can and Caucasian Women,” Health Psychology, Vol. 22, 2003, pp. 300-309. doi:10.1037/0278-6133.22.3.300 [15] N. G. Dinges and Q. Duong-Tran, “Stressful Life Events and Co-Occurring Depression, Substance Abuse and Sui- cidality among American Indian and Alaska Native Ado- lescents,” Culture, Medicine and Psychiatry, Vol. 16, No. 4, 1992, pp. 487-502. [16] B. J. Guthrie, A. M. Young, D. R. Williams, C. J. Boyd and E. R. Kintner, “African American Girls’ Smoking Habits and Day-to-Day Experiences with Racial Dis- crimination,” Nursing Research, Vol. 51, No. 3, 2002, pp. 183-189. doi:10.1097/00006199-200205000-00007 [17] K. D. Lincoln, L. M. Chatters and R. J. Taylor, “Psycho- logical Distress among Black and White Americans: Dif- ferential Effects of Social Support, Negative Interaction and Personal Control,” Journal of Health and Social Be- havior, Vol. 44, No. 3, 2003, pp. 390-407. doi:10.2307/1519786 [18] S. Gore and R. H. Aseltine, “Race and Ethnic Differences in Depressed Mood Following the Transition from High School,” Journal of Health and Social Behavior, Vol. 44, No. 3, 2003, pp. 370-389. doi:10.2307/1519785 [19] C. Ellison, J. D. Boardman, D. R. Williams and J. S. Jackson, “Religious Involvement, Stress, and Mental Health: Findings from the 1995 Detroit Area Study,” So- cial Forces, Vol. 80, No. 1, 2001, pp. 215-249. doi:10.1353/sof.2001.0063 [20] V. M. Murry, P. A. Brown, G. H. Brody, C. E. Cutrona and R. L. Simons, “Racial Discrimination as a Moderator of the Links among Stress, Maternal Psychological Func- tioning, and Family Relationships,” Journal of Marriage and Family, Vol. 63, No. 4, 2001, pp. 915-926. doi:10.1111/j.1741-3737.2001.00915.x [21] S. O. Utsey, Y. A. Payne, E. S. Jackson and A. M. Jones, “Race-Related Stress, Quality of Life Indicators, and Life Satisfaction among Elderly African Americans,” Cultural Diversity & Ethnic Minority Psychology, Vol. 8, No. 3, 2002, pp. 224-233. doi:10.1037/1099-9809.8.3.224 [22] S. O. Utsey and Y. A. Payne, “Psychological Impacts of Racism in a Clinical versus Normal Sample of African American Men,” Journal of African American Men, Vol. 5, 2000, pp. 57-72. [23] H. S. Thompson, T. W. Kamarck and S. B. Manuck, “The Association between Racial Identity and Hypertension in African-American Adults: Elevated Resting and Ambu- latory Blood Pressure as Outcomes,” Ethnicity and Dis- ease, Vol. 12, 2002, pp. 20-28. [24] S. Owens, “African American Women Living with HIV/ AIDS: Families as Sources of Support and of Stress,” So- cial Work, Vol. 48, No. 2, 2003, pp. 163-171. doi:10.1093/sw/48.2.163 [25] R. J. Thompson, K. M. Gil, M. R. Abrams and G. Phillips, “Stress, Coping, and Psychological Adjustment of Adults with Sickle Cell Disease,” Journal of Consulting and Clinical Psychology, Vol. 60, No. 3, 1992, pp. 433-440. doi:10.1037/0022-006X.60.3.433 [26] B. C. Ford, “Violence and Trauma: Predicting the Impact on the Well-Being of African American Women with Severe Mental Illness,” Violence and Victims, Vol. 17, No. 2, 2002, pp. 219-232. doi:10.1891/vivi.17.2.219.33646 Copyright © 2012 SciRes. OJS |






