USC American College Health Association National College Health Assessment Report Freshman Living Location Spring 2015
Table of Contents Introduction... 3 Methods.. 4 Demographic Information.. 5 General Alcohol Consumption Statistics General Alcohol vs. Living Location 6 General Alcohol vs. International Status 7 General Alcohol vs. Ethnicity.. 8 At Risk Drinking Statistics At Risk Drinking vs. Living Location 9 At Risk Drinking vs. International Status. 10 At Risk Drinking vs. Ethnicity 11 Marijuana Use Statistics Marijuana Use vs. Living Location 12 Marijuana Use vs. International Status 13 Marijuana Use vs. Gender. 14 Marijuana Use vs. Ethnicity.. 15 Health Behavior Frequencies Across Living Location. 16 Acknowledgements.. 17 2
Introduction Health promotion is defined by the World Health Organization as the process of enabling people to increase control over, and to improve their health. 1 It moves beyond a focus on individual behavior towards a wide range of social and environmental interventions. Health promotion is a comprehensive and multi-strategic approach to health; it encompasses skills building and individual capacities, but also recognizes the impact of social, environmental, and economic conditions on public and individual health. The Ottawa Charter for Health Promotion outlines five action areas in health promotion: build healthy public policy; create supportive environments for health; strengthen community action for health; develop personal skills; and re-orient health services towards prevention. 2 On a residential college campus, this systematic approach to health becomes the work of the whole institution, as wellness capacity is essential to learning capacity. In order to provide high quality services with populations with diverse needs, it is essential that there is data describing the health behaviors of the students as a population. This data helps to inform policy makers, administrators, faculty, staff, and students about current health status and helps with strategic planning and resource allocation. The National College Health Assessment II (NCHA II) is a national research initiative coordinated by the American College Health Association (ACHA), to assist institutions of higher education in collecting data about the health and wellness of their students. The ACHA-NCHA II allows each campus to generate prevalence rates for alcohol use, sexual behavior, safety, exercise, and prevalence of disease. The goal of this assessment is to provide data on the prevalence, status, and misperceptions about student behavior. This data can guide the campus leadership by providing a firm basis for planning and evaluating services that can positively impact students safety, well-being and academic success. This report provides data on the population of students at the University Park Campus and highlights differences in the freshman residence hall area populations. The American College Health Association (AHCA) compiles an aggregate national report. While the sample is large, is it not a true national sample, as it is not representative of the vast diversity of either the institutions or the individuals enrolled therein. The report can be viewed at www.acha-ncha.org. This current report summarizes key points from the survey administered to students at the University Park Campus. Due to the length of the survey, not all data points have been included. Analyses of additional questions are available for interested readers through the Office for Wellness and Health Promotion in the University Park Health Center at 213-740-4777 or by visiting http://engemannshc.usc.edu/research/acha-assessment/. For a sample of the instrument used, please follow this link: http://www.achancha.org/docs/acha-ncha_ii_2008.p. 1 World Health Organization. The Ottawa Charter for Health Promotion. Geneva, Switzerland: WHO; 1986 Nov 21 Available from: http://www.who.int/healthpromotion/conferences/previous/ottawa/en/index.html 2 World Health Organization. The Ottawa Charter for Health Promotion. Geneva, Switzerland: WHO; 1986 Nov 21 Available from: http://www.who.int/healthpromotion/conferences/previous/ottawa/en/index.html 3
Methods Questionnaire design. In 2008, ACHA introduced a second version of ACHA-NCHA questionnaire (ACHA-NCHA II). The ACHA-NCHA II questionnaire consists of sixty-five questions divided into eight sections: health; health education and safety; alcohol, tobacco, and drugs; sex behavior and contraception; weight, nutrition, and exercise; mental health; physical health; impediments to academic performance; and demographic characteristics. Procedure. The survey was conducted at the University of Southern California in the spring of 2015. The NCHA was emailed to 3693 randomly selected students on the University Park Campus. All 3693 students were emailed a letter alerting them to the forthcoming survey, as well as two subsequent emails after receiving the survey in an effort to increase the return rate. A lottery drawing for ten $100 Visa gift cards were also offered as an incentive. Response rate. In 2015, 644 completed surveys were returned for a response rate of 17%. Analytic strategy/data preparation. This report focuses on the surveys that were administered in 2015. The data set was further shortened to include only Freshmen who live in on campus dorms: New, North, Birnkrant, Pardee, Marks Hall, Marks Tower, Trojan Hall, Webb Tower, Fluor Tower, Parkside Arts and Humanities, Parkside International Residential College and Parkside Apartments. As a result, the final sample contained 557 students. Frequencies are reported throughout the report. 4
Demographic Information Descriptor Survey Respondents All UPC Undergraduates Difference Gender Female 66.5 49.6 16.9 Male 33.2 50.4-17.2 Transgender 0.2 -- -- Ethnicity White 49.2 35.6 13.6 Black 6.3 4.2 2.1 Hispanic or Latino/a 13.2 13.4-0.2 Asian or Pacific Islander 39.5 22.2 17.3 American Indian, Alaskan 1.8 0.1 1.7 Native, or Native Hawaiian Biracial or Multiracial 7.2 -- -- Other 4.9 10.8-5.9 International 10.3 13.7-3.4 Sexual Orientation Heterosexual 89.2 -- -- Gay/Lesbian 2.5 -- -- Bisexual 4.1 -- -- Unsure 4.1 -- -- Fraternity or Sorority 17.2 On Campus Housing Campus residence hall 98.0 -- -- Fraternity or Sorority house 0.2 -- -- Other college/university housing 1.6 -- -- Parent/Guardian s home 0.2 -- -- Campus Residence Hall *North 24.9 -- -- *West 14.1 -- -- *South 25.8 -- -- *Parkside 35.3 -- -- *North: New, North and Birnkrant Residence Hall *West: Webb and Fluor Tower *South: Trojan Hall, Marks Hall, Marks Tower, and Pardee *Parkside: Arts and Humanities, International Residence College, and Apartments 5
General Alcohol Consumption Statistics Question: Within the last 30 days, on how many days did you use Alcohol (beer, wine, liquor)? General Alcohol Consumption vs. Living Location Living Location * Alcohol Consumption Crosstabulation Alcohol Consumption Have used, but not in last 30 days: non Never used: 1-2 days 10 or more days 3-9 days drinker abstainer Living Location North Count 19 26 58 10 25 138 Expected Count 25.8 16.6 39.7 21.1 34.7 138.0 Parkside Count 40 17 44 32 63 196 Expected Count 36.7 23.6 56.4 30.0 49.4 196.0 South Count 32 16 38 27 31 144 Expected Count 26.9 17.4 41.4 22.0 36.3 144.0 West Count 13 8 20 16 21 78 Expected Count 14.6 9.4 22.4 11.9 19.6 78.0 Count 104 67 160 85 140 556 Expected Count 104.0 67.0 160.0 85.0 140.0 556.0 Pearson Chi-Square 38.240 a 12.000 Likelihood Ratio 38.228 12.000 N of Valid Cases 556 a. 0 cells (.0%) have expected count less than 5. The minimum expected count is 9.40. 0.000. At an alpha level of 0.05, there is a statistically significant association with general alcohol consumption and living location. The significant value means that the difference in drinking behavior across the living locations is not due to chance. Looking at the data more closely, we see that more students than expected living in the North side of campus drank more than 3-9 days in the last 30 days. Also, more students than expected living in the North side of campus drank 10 or more days. 6
General Alcohol Consumption vs. International Status International student * Alcohol Consumption Crosstabulation Alcohol Consumption Have used, but not in last 30 days: non Never used: 1-2 days 10 or more days 3-9 days drinker abstainer International student No Count 93 58 149 70 128 498 Expected Count 93.3 60.1 143.6 76.3 124.7 498.0 Yes Count 11 9 11 15 11 57 Expected Count 10.7 6.9 16.4 8.7 14.3 57.0 Count 104 67 160 85 139 555 Expected Count 104.0 67.0 160.0 85.0 139.0 555.0 Pearson Chi-Square 8.596 a 4.072 Likelihood Ratio 8.049 4.090 N of Valid Cases 555 a. 0 cells (.0%) have expected count less than 5. The minimum expected count is 6.88. 0.072. At an alpha level of 0.05, there is no statistically significant association with general alcohol consumption and international status. The non-significant value means that the difference in drinking behavior in international and domestic students is due to chance. 7
General Alcohol Consumption vs. Ethnicity Crosstab Alcohol Consumption Have used, but not in last 30 days: non Never used: 1-2 days 10 or more days 3-9 days drinker abstainer Race/Ethnicity-White NO Count 64 22 56 57 84 283 Expected Count 52.9 34.1 81.4 43.3 71.3 283.0 WHITE Count 40 45 104 28 56 273 Expected Count 51.1 32.9 78.6 41.7 68.7 273.0 Count 104 67 160 85 140 556 Expected Count 104.0 67.0 160.0 85.0 140.0 556.0 Pearson Chi-Square 43.162 a 4.000 Likelihood Ratio 43.825 4.000 N of Valid Cases 556 a. 0 cells (.0%) have expected count less than 5. The minimum expected count is 32.90. 0.000. At an alpha level of 0.05, there is a statistically significant association with general alcohol consumption and students that are white. The significant value means that the difference in drinking behavior between non-white students and white students is not due to chance. Looking at the data more closely, we see that white students drank more than expected in the 3-9 days category. Also, more white students than expected drank 10 or more days. 8
At Risk Drinking Statistics Question: Over the last two weeks, how many times have you had five or more drinks of alcohol at a sitting? At Risk Drinking vs. Living Location Living Location * At Risk Drinking Crosstabulation At Risk Drinking More than 1 N/A, don't drink: None: non time abstainer drinker Living Location North Count 65 28 46 139 Expected Count 47.4 40.7 50.9 139.0 Parkside Count 54 71 71 196 Expected Count 66.9 57.4 71.8 196.0 South Count 45 38 61 144 Expected Count 49.1 42.1 52.7 144.0 West Count 26 26 26 78 Expected Count 26.6 22.8 28.6 78.0 Count 190 163 204 557 Expected Count 190.0 163.0 204.0 557.0 Pearson Chi-Square 19.405 a 6.004 Likelihood Ratio 19.122 6.004 N of Valid Cases 557 a. 0 cells (.0%) have expected count less than 5. The minimum expected count is 22.83. 0.004. At an alpha level of 0.05, there is a statistically significant association with at risk drinking and living location. The significant value means that the difference in drinking at risk drinking behavior across the living locations is not due to chance. Looking at the data more closely, we see that more students than expected living in the North side of campus engaged in at risk drinking 1 or more times. 9
At Risk Drinking vs. International Status International student * At Risk Drinking Crosstabulation At Risk Drinking More than 1 N/A, don't drink: None: non time abstainer drinker International student No Count 167 144 188 499 Expected Count 170.5 146.3 182.2 499.0 Yes Count 23 19 15 57 Expected Count 19.5 16.7 20.8 57.0 Count 190 163 203 556 Expected Count 190.0 163.0 203.0 556.0 Pearson Chi-Square 2.867 a 2.238 Likelihood Ratio 2.994 2.224 N of Valid Cases 556 a. 0 cells (.0%) have expected count less than 5. The minimum expected count is 16.71. 0.238. At an alpha level of 0.05, there is no statistically significant association with at risk drinking behavior and international status. The non-significant value means that the difference in at risk drinking behavior in international and domestic students is due to chance. 10
At Risk Drinking vs. Ethnicity Crosstab At Risk Drinking More than 1 N/A, don't drink: None: non time abstainer drinker Race/Ethnicity-White NO Count 77 99 107 283 Expected Count 96.5 82.8 103.6 283.0 WHITE Count 113 64 97 274 Expected Count 93.5 80.2 100.4 274.0 Count 190 163 204 557 Expected Count 190.0 163.0 204.0 557.0 Pearson Chi-Square 14.685 a 2.001 Likelihood Ratio 14.782 2.001 N of Valid Cases 557 a. 0 cells (.0%) have expected count less than 5. The minimum expected count is 80.18. 0.001. At an alpha level of 0.05, there is a statistically significant association with at risk drinking and students that are white. The significant value means that the difference in at risk drinking behavior between non-white students and white students is not due to chance. Looking at the data more closely, we see that white students drank more than expected in the 1 or more times at risk drinking category. 11
Marijuana Use Statistics Question: Within the last 30 days, on how many days did you use Marijuana (pot, weed, hashish oil, hash oil)? Marijuana Use vs. Living Location Living Location * Marijuana Use Crosstabulation Marijuana Use Have used, but not in last 30 1-2 days 10 or more days 3-9 days days Never used Living Location North Count 16 17 17 21 67 138 Expected Count 14.4 10.4 12.9 18.6 81.6 138.0 Parkside Count 16 8 15 28 129 196 Expected Count 20.5 14.8 18.4 26.5 115.8 196.0 South Count 18 11 17 19 78 143 Expected Count 14.9 10.8 13.4 19.3 84.5 143.0 West Count 8 6 3 7 54 78 Expected Count 8.2 5.9 7.3 10.5 46.1 78.0 Count 58 42 52 75 328 555 Expected Count 58.0 42.0 52.0 75.0 328.0 555.0 Pearson Chi-Square 21.984 a 12.038 Likelihood Ratio 22.785 12.030 N of Valid Cases 555 a. 0 cells (.0%) have expected count less than 5. The minimum expected count is 5.90. 0.038. At an alpha level of 0.05, there is a statistically significant association with marijuana use and living location. The significant value means that the difference in marijuana use across the living locations is not due to chance. Looking at the data more closely, we see that more students than expected living in North and South use Marijuana 1-9 days. Also, more students than expected living in North used Marijuana 10 or more days. 12
Marijuana Use vs. International Status International student * Marijuana Use Crosstabulation Marijuana Use Have used, but not in last 30 1-2 days 10 or more days 3-9 days days Never used International student No Count 54 35 48 72 288 497 Expected Count 52.0 37.7 46.6 67.3 293.4 497.0 Yes Count 4 7 4 3 39 57 Expected Count 6.0 4.3 5.4 7.7 33.6 57.0 Count 58 42 52 75 327 554 Expected Count 58.0 42.0 52.0 75.0 327.0 554.0 Pearson Chi-Square 7.118 a 4.130 Likelihood Ratio 7.808 4.099 N of Valid Cases 554 a. 1 cells (10.0%) have expected count less than 5. The minimum expected count is 4.32. 0.130. At an alpha level of 0.05, there is no statistically significant association with marijuana use and international status. The non-significant value means that the difference in marijuana use in international and domestic students is due to chance. 13
Marijuana Use vs. Gender Gender * Marijuana Use Crosstabulation Marijuana Use Have used, but not in last 30 1-2 days 10 or more days 3-9 days days Never used Gender Female Count 43 15 28 54 229 369 Expected Count 38.6 28.0 34.6 50.0 217.8 369.0 Male Count 15 27 24 21 97 184 Expected Count 19.3 13.9 17.3 24.9 108.6 184.0 Transgender Count 0 0 0 0 1 1 Expected Count.1.1.1.1.6 1.0 Count 58 42 52 75 327 554 Expected Count 58.0 42.0 52.0 75.0 327.0 554.0 Pearson Chi-Square 27.009 a 8.001 Likelihood Ratio 25.882 8.001 N of Valid Cases 554 a. 5 cells (33.3%) have expected count less than 5. The minimum expected count is.08. 0.001. At an alpha level of 0.05, there is a statistically significant association with marijuana use and gender. The significant value means that the difference in marijuana use across genders is not due to chance. Looking at the data more closely, we see that more females than expected use Marijuana 1-2 days. However, more males than expected use marijuana between 3-9 days and 10 or more days. 14
Marijuana Use vs. Ethnicity Crosstab Marijuana Use Have used, but not in last 30 1-2 days 10 or more days 3-9 days days Never used Race/Ethnicity-White NO Count 23 17 22 26 194 282 Expected Count 29.5 21.3 26.4 38.1 166.7 282.0 WHITE Count 35 25 30 49 134 273 Expected Count 28.5 20.7 25.6 36.9 161.3 273.0 Count 58 42 52 75 328 555 Expected Count 58.0 42.0 52.0 75.0 328.0 555.0 Pearson Chi-Square 23.126 a 4.000 Likelihood Ratio 23.330 4.000 N of Valid Cases 555 a. 0 cells (.0%) have expected count less than 5. The minimum expected count is 20.66. 0.000. At an alpha level of 0.05, there is a statistically significant association with marijuana use and students that are white. The significant value means that the difference in marijuana use between nonwhite students and white students is not due to chance. Looking at the data more closely, we see that white students used marijuana more than expected in the 1-2 days category, 3-9 days category and 10 or more days category. 15
Health Behavior Frequencies Across Living Locations Frequencies out of total sample size (%) North South West Parkside Stress No stress 1.08 1.27 0.36 0.72 Less than average stress 1.80 1.80 1.27 2.71 Average stress 10.8 7.59 7.41 14.1 More than average stress 9.04 11.4 3.61 14.3 Tremendous stress 1.94 3.80 1.44 3.44 Days of enough sleep 0 days 3.07 2.53 1.08 4.87 1 day 3.25 3.97 2.71 4.69 2 days 5.60 5.78 2.17 5.42 3 days 4.15 5.23 2.89 6.50 4 days 3.61 4.51 2.71 6.68 5 days 2.53 2.53 1.99 1.99 6 days 1.99 0.72 0.36 3.61 7 days 0.72 0.54 0.18 1.44 Physical Activity Guidelines Met 13.0 11.7 6.32 16.4 Not Met 11.9 14.1 7.76 18.8 Servings of Fruit and Vegetables/day 0 servings 0.18 1.27 0.54 3.43 1-2 servings 13.2 13.6 6.87 18.1 3-4 servings 9.22 8.68 5.97 10.8 5 or more servings 2.17 2.35 0.72 2.89 16
Acknowledgements This report would not have been possible without the contributions, dedication, and patience of the following individuals: Ainsley Carry, Vice Provost for Student Affairs Paula Swinford, Director, Office for Wellness and Health Promotion Eduardo Molina, Director, Institutional Research Niki Hashemi, Intern, Office for Wellness and Health Promotion A special thanks to the entire Wellness and Health Promotion staff and to all the students who sent in completed surveys; your efforts help us to serve you better. 17