Depressive Symptoms. Part 2
In 1994 when the Journal of American College Health devoted its March issue to diversity, Black students, and the college campus, Reginald Fennell recommended that a national study be conducted to measure the health status of Black college students- “both health disparities and the positive healthful behaviors.” One of the most comprehensive studies on Black college students was by Fennell (1997), who used the National College Health Risk Behavior Survey (NCHRBS) to survey 996 African American students attending HBCUs in seven different states. Of the respondents, 678 (68.3%) were female and 314 (31.7%) were male. Approximately eighty-two of the respondents were sexually active and most (59.6%) had used a condom during their last sexual encounter. Seventeen percent of the students used no form of birth control during their last sexual encounter and the men in the study were more likely than women to have used alcohol or other drugs before engaging in sexual intercourse (Fennell, 1997). Studies such as this have provided some imminent results regarding Black male students; however, the number of large and adequately-sampled research studies that specifically address their mental health is sparse.
The aim of the present study was to compare the depressive symptomatology of Black college men at a predominately white institution (PWI) and a historically Black college/university (HBCU). Results from this study suggest that there is not a major difference between the depressive symptomatology of Black college men at a PWI and those at a HBCU, although differences do exist. For example, men at the PWI scored higher than men at the HBCU on individual depression items, and had a higher (although not immensely) total depression score. Effort, nervousness, and restlessness were the highest scores on individual depression items for men at both institutions. Additionally, respondents with feelings of restlessness, hopelessness, and effort reported higher total depression scores. Findings from this study suggest the possibility of alternative symptoms of depression experienced in Black college men, as identified in Black adults from previous studies (Myers, 1993; Baker, Espino, Robinson, & Stewart, 1993; Baker, 2001; Ayalon & Young, 2003). When attempting to explore depressive symptoms in Black men, researchers should not discount the importance of how depression is expressed in this population. Future studies should also consider the expression of depressive symptoms in college men and women of other races, ethnicities, and cultures.
One way to further explore depressive symptoms of Black college men is to first assess their mental health, specifically their stressors. A study by Watkins and colleagues (In press) reported the results from a qualitative study conducted at a PWI and a HBCU that addressed the major stressors of Black college men and how these stressors influence their mental health and health behaviors. Findings from this study revealed stressors at the PWI that were more ‘school-related’ and stressors at the HBCU that were ‘non-school-related.’ Future studies should consider formative research as a means to build on specific variables to further examine Black college men and mental health. Findings from the present study also uncover beliefs about the factors that lead to depression among black men, in general. Findings from a review affirm that prior to the year 2004, the majority of studies published about depression and Black men identified racism/ discrimination, socioeconomic status, and psychosocial coping as major factors that lead to depression in Black men (Watkins, et al., 2006).
Depressive Symptoms
Participants were asked to respond to how often they felt: so sad that nothing could cheer you up, nervous, restless or fidgety, hopeless, that everything was an effort, and worthless in the past 30 days. Although more than half of the respondents said that they felt so sad that nothing to cheer them up none of the time (60.9%); they identified feelings of nervousness (41.7%) and restlessness or fidgetiness (36.5%) a little of the time. The majority of respondents also reported feelings of hopelessness (73%) and worthlessness (85.2%) none of the time. When asked if they felt that everything was an effort, participants had mixed responses. Although most reported that everything was an effort none of the time (28.7%); feelings of effort some of the time (27%) and a little of the time (26.1%) closely followed.
Also noteworthy is the large number of men at the PWI (71.4%) compared to that at the HBCU (56.3%) who reported feeling so sad that nothing could cheer them up none of the time. The majority of men at the PWI (62.9%) reported that they felt nervous a little of the time versus those at the HBCU who reported that they felt nervous none of the time (33.8%). Additionally, the most frequently reported responses for men at the PWI were feelings of restlessness (34.3%) and that everything was an effort (40.0%) some of the time. Overall, the men at the PWI reported feeling nervous a little of the time and reported feeling restless and like everything was an effort some of the time compared to the men at the HBCU where the majority of respondents only reported feeling restless a little of the time and reported experiencing the other depressive symptoms none of the time.
All depression items proved to be positively associated with one another and negatively associated with health. This indicates that the higher a respondent scored on an individual depression item, the higher their total depression score. While all depression items were positively correlated with the total depression score, three variables presented exceptionally high associations. The variables most highly correlated with the total depression score were restlessness (rs = .753; p=.000), hopelessness (rs = .727; p = .000), and feeling that everything was an effort (rs = .717; p=.000). This suggests that respondents who scored the highest on restlessness, hopelessness, and effort were also more likely to report a higher total depression score. The relationship between the total depression score and perceived health was calculated to assess the probable association between how Black college men perceived their overall health and their depressive symptomatology. The total depression score was negatively correlated with perceived health (rs=-.371; p=.079) which suggests that the men who reported that they had ‘excellent’ or ‘very good’ health also had lower total depression scores.
The Mental Health of Black Men. Part 3
Demographics. Survey respondents were asked seven questions about their personal characteristics. Respondents were asked to indicate their classification (undergraduate versus graduate student); if they are involved in extracurricular activities (i.e., fraternity, student-athletes, on- or off-campus activities); their perceived health status (excellent, very good, good, fair, or poor); their age; their marital status (married, separated, divorced, never been married, widowed, or a member of an unmarried couple); their race (American Indian or Alaska Native, Asian, Black or African American, Native Hawaiian or other Pacific Islander, or White); and their annual income (less than $15,000, less than $20,000, less than $25,000, less than $30,000, less than $35,000, less than $40,000, less than $45,000, or $46,00 or more).
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Depression. Respondents were asked to indicate how often they experienced depressive symptoms in the past 30 days using the following five-point Likert scale: 5 (all of the time), 4 (most of the time), 3 (some of the time), 2 (a little of the time), and 1 (none of the time). The six depressive symptoms included feeling: so sad that nothing could cheer you up, nervous, restless or fidgety, hopeless, that everything was an effort, and worthless. If respondents answered “all of the time,” “most of the time,” or “some of the time,” to any other depression items, they were prompted to answer question number nine: “Altogether, how much did the abovementioned feeling interfere with your life or activities?” To this question, respondents could have answered: 4 (A lot), 3 (Some), 2 (A little) or 1 (Not at all).
Results
Demographics
Respondent characteristics are presented in Appendix A. A total of 115 Black college men responded to the survey. The majority of respondents were undergraduate students (80.9%) and participated in extracurricular activities (80%). The average age of respondents was 21.64 (SD= 2.661) and the age range was 18 to 33. Approximately 92% of the men had never been married and almost half of the men reported that their health was “very good” (46.1%). Ninety-nine percent of the respondents identified themselves as Black or African American and over half attended the HBCU (69.6%) and earned less than $15,000 annually (60%).
A large portion of the total number of respondents were men from the HBCU (n= 80). The mean age of respondents from the HBCU was 21.34 (SD= 2.08) and most (88.8%) were undergraduate students and had never been married (91.3%). These respondents participated in extracurricular activities (72.5%) and over half earned less than $15,000 a year (57.5%). Almost half of them perceived their health to be “very good” (48.8%). A small number of respondents were from the PWI (n=35). The mean age for these men was 22.15 (SD=2.176) and more than half were undergraduate students (62.9%). The men at the PWI reported their health to be “excellent” (31.4%), “very good” (40%) and “good” (25.7%), respectively. A large number of the respondents at the PWI had never been married (94.3%) and participated in extracurricular activities (97.1%). More than half had annual incomes less than $15,000 (65.7%).
The Mental Health of Black Men. Part 2
Methods
The study was reviewed and approved by the Institutional Review Board at each study site. Survey methodology was employed to assess the depressive symptomatology of Black college men. The convenience of an online survey is that respondents can complete it at a location and time of their choice. The majority of survey respondents completed the online survey; however, paper versions of the survey were distributed in focus groups (a separate phase of this study) conducted at the PWI and HBCU. Since paper versions of the survey were completed by members of the focus groups, the focus group facilitator (a Black, female doctoral student) read the focus group consent form to participants once they were assembled at the site. Respondents to the online survey were presented with an informed consent page. Their decision to complete the assessment (which was determined by selecting the option to “Begin Questionnaire”) served as their consent to participate in the study. To maintain participant confidentiality, no identifiers linking the information to the respondents were collected.
Sample Selection
Eligible participants were Black college men who were enrolled at the PWI and HBCU, both located in a southern U.S. state, during the 2005-2006 school year. The investigator recruited the men from the PWI and solicited the help of a faculty member to recruit the men at the HBCU. Respondents at each institution were contacted via email, direct person-to-person, and ‘snowball sampling’ (Morgan & Krueger, 1998). ‘Snowball sampling’ is the process of asking people that have already been recruited for names of other potential participants. Participants in the focus groups completed a paper version of the questionnaire while all other respondents completed the questionnaire online. No incentive was provided for completion of the questionnaire.
Measures
Data were collected using the General Health Assessment (GHA), which contains 22 questions, all derived from the Health Information National Trends Survey (HINTS). The investigator pilot tested the instrument with a mock group at one of the study sites. Three primary criteria guided item inclusion for the GHA. These criteria included scientific validity, data utility, and implementation. The criterion of scientific validity involved the following: (1) the questions were well-established for assessing general health-related information, (2) the questions could be self-reported accurately by the target population, and (3) the sample size was adequate to produce reliable estimates in analyses. Data utility encompassed priorities such as selecting and retaining items that would support the investigator’s research agenda and program efforts in mental health status and health behaviors. Finally, the instrument had to meet implementation criteria. Examples of this criterion for the study included: (1) an item being able to be administered online, (2) an equitable distribution of questions among topics, and (3) respondent burden reduced as much as possible. For the purpose of this study, only responses to items related to the participants’ demographics and prevalence of depressive symptoms are reported.
The Mental Health of Black Men
The legacy of slavery and discrimination continues to influence the social and economic standing of Blacks in the United States (USDHHS, 2001). To understand the mental health of this population, the historical context must be considered. A large number of the U.S. Black population can trace their ancestry to the slave trade from Africa. As a result of the mental and physical abuse that many of the slaves received during their oppression, it is believed that some of these legacies have continued to evolve in the minds of Black Americans. The Report of the Surgeon General on Mental Health notes that “through mutual affiliation, loyalty, and resourcefulness, African Americans have developed adaptive beliefs, traditions, and practices” (USDHHS, 2001). Black Americans have survived and accomplished many things, sometimes against enormous odds. Despite their ability to overcome hardships and sustain a high degree of mental health (USDHHS, 2001), Blacks have poorer health and are exposed to a broad range of social and environmental factors that adversely affect their health (Williams, 2003). Although the health of Blacks is influenced by biological factors as well as social determinants, many Black leaders have traditionally blamed the legacy of slavery, institutional racism and poverty for the problems that Blacks face, especially Black men.
Black men are more likely than men of other groups to endorse traditional attitudes about masculinity (Courtenay, 2001, 2002). A common social orientation is that men are to be the model of strength and power in comparison to the lesser, weaker female sex. Similarly, men are also projected to be the physically and mentally stronger of the two sexes. This has not always been the case in the traditional Black community. Although the Black man may have a presence in the household as the bread-winner and male influence, in many cases, the Black woman has assumed control of the household. Recent data illustrate that Black women are forced to assume the lead role in the household due to the absence of the male (Williams, 2003), resulting in the economic marginalization and increased mental problems among Black males. The presence of Black men at institutions of higher learning may indeed resemble their presence in the household. Black men may not benefit from the positive engagement that the university’s social and educational experiences nurture which may also result in their economic marginalization and increased mental problems. The acclamation of Black men to the college environment undoubtedly influences their mental health. The purpose of this study is to examine the depressive symptomatology among Black college men at a predominately white institution (PWI) and a historically Black college/university (HBCU). Furthermore, this research seeks to generate scholarly discussion about Black college men and the factors that influence their health.
The Depressive Symptomatology of Black College Men: Preliminary Findings. Part 2
Men are expected to project strength, individuality, autonomy, dominance, stoicism, physical aggression, and to avoid demonstrations of emotion that could be mistaken for weakness (Courtenay, 2000a). These social orientations are prevalent among men of various cultures and are associated with an increase in their health risks. Despite the continual disadvantages that women experience on social proportions, and the multiple indicators of disparities that women of color face (Williams, 2002) recent reports suggest that Black men in the U. S. are falling ever further behind other groups in health among a number of other variables (Elsner, 2005). Black men live approximately seven years less than other racial groups and experience higher mortality rates in every single leading cause of death (Arias & Smith, 2003).
Research shows that men engage in far fewer health-promoting behaviors and have less healthy lifestyle patterns than women (Courtenay, 1998). Men are more likely than women to engage in more than thirty behaviors that are associated with an increased risk of disease, injury, and death (Courtenay, 2000b). For instance, men take more risks with regards to driving, sexual activity, and drinking, and use more alcohol and other drugs than women. (Courtenay, 1998) Not only do men participate in more high-risk physical activities and physical fights, but they are also more likely than women to carry guns or other weapons and engage in criminal activity (Courtenay, 2003). Additionally, men are oftentimes more overweight; have less healthy dietary habits; are less likely to conduct self-examinations; have higher cholesterol and blood pressure; use less sun protection; wear safety bets less often; and use fewer medications, vitamins, and dietary supplements (Courtenay, 2003) than women.
Men sleep less, and less well than women, and they stay in bed to recover from illness for less time than women. When under stress, men respond in less healthy ways than women. Men are more likely to use avoidant coping strategies (e.g. denial, distraction, and increased alcohol consumption) and are less likely to employ healthy coping strategies and to acknowledge that they need help (Kopp, Skrabski, & Szedmak, 1998; Weidner & Collins, 1993). As a substitute, men may deny their physical or emotional distress, or attempt to conceal their illness or disabilities (Courtenay, 2001). Consider depression, for example, where men are more likely than women to rely on themselves, to withdraw socially, and to try to talk themselves out of feeling depressed (Courtenay, 2000a).
College Men’s Health
Disease, injury and death rates are unavailable for college students specifically; however, a general profile of college men’s health can be inferred from the risks of this age group. In the 15 to 24 age group, for example, more than 3 of 4 deaths each year are male (Courtenay, 1998). Even with this loss, policymakers and health professionals have paid little attention to men’s health risks, or to their greater risk of premature death. When the health concerns of college men are studied, little is reported beyond the limited research addressing concerns such as STDs (Sawyer & Moss, 1993), testicular cancer (Neef, Scutchfield, Elder, & Bender, 1991), and men’s mental health (Whitaker, 1987).
The Depressive Symptomatology of Black College Men: Preliminary Findings
Black Americans have poorer health than the rest of the nation and are exposed to a wider range of social and environmental factors that adversely impact their health. Although it may be presumed that men who acquire a college education will also attain middle-class status, middle-class status does not provide Black men with the anticipated reductions for at least some health risks. This study presents preliminary findings from a study designed to assess the prevalence of depressive symptoms among Black college men (n=115) at a predominately white institution and a historically Black institution. Results suggest that although depressive symptoms for the Black college men in the sample were relatively low, participants from the predominately white institution reported slightly higher on individual depression items and had a higher total depression score than participants from the historically Black institution. Findings from this study have implications for the provision of adequate mental health services for Black college men as well as future research conducted with this population regarding their health and health behaviors.
Introduction
Gender is one of the most important determinants of health behavior (Courtenay, 1998). Although a number of genetic and biological factors may contribute to the differences men experience, these factors do not explain them. Differences that are often acknowledged between men and women are not biologically inevitable but are shaped by social arrangements (Williams, 2003). Similarly, the health status of men is largely impacted by the social organization and the economic opportunities they are offered in society. Consider, for example, that the higher symptoms of depression and anxiety experienced by women are reversed when men and women are not in their traditional roles. Wives who are employed have lower depression scores than their husbands; subsequently, both women and men experience more symptoms of depression and anxiety when either earns less than their spouse. The living and working conditions of men in general, and the burdens of minority men, specifically, have adverse affects on their health. From birth, parents treat boys and girls differently (Courtenay, 2000a). Although boys tend to be at higher risk, parents are often less concerned about the safety of their boys than they are about the safety of their girls (Courtenay, 2004). Likewise, boys are more likely than girls to be discouraged from seeking help, and are often punished for doing so. This differential treatment has been found to have both short-term and long-term effects on the health of men and boys (Courtenay, 2000a).
Methodology
This was a cross-sectional descriptive study conducted to assess methodologies used by a national sample of universities to determine and assign faculty workload in health education programs. Human subjects approval was obtained from the university human subject committee.
Sample
A total of 106 surveys were distributed by mail to department chairs or program directors of Health Education programs at various universities across the country. Programs and contact people were identified through the use of discipline specific program directories and a review of university web sites.
Data Collection
For the purpose of data collection a 21 item survey instrument was developed. The survey was designed to collect data on a number of factors including institutional type (location, funding, Carnegie classification, etc.) types of programs offered, number of students and faculty, and measures of workload. The instrument was internally pre-tested and pilot tested among various administrators.
Carnegie Classification
The Carnegie Classification of Institutions of Higher Education is a taxonomy of U. S. Higher education institutions that was developed in the early 70’s. The purpose of which was to identify categories that would be relatively homogeneous with respect to the functions of the institutions. Although the criteria for classification takes into account many factors, the primary components have historically been the amount of federal research dollars an institution brings in and the types and number of degrees granted (McCromick, 2000). In 2000, the classification system was modified slightly and institutions were reclassified based on their degree-granting activity from 1995 to 1998. Because many University personnel are not familiar with the new classifications, for the purpose of this study the traditional classifications were used. The primary change was the reduction of Doctoral degree granting institutions from four categories to two. Universities are now classified based on the number of doctoral degrees granted and the number of disciplines for which doctoral degrees are available. The institutions sampled for this study were distributed across Carnegie classifications with 56% identified as Research or Doctoral Universities and 34% as Master’s level institutions.
Data Analysis
Survey data was entered manually and all analysis was done using SPSS 10.0 for Mac. Descriptive statistics including frequency distributions, means and standard deviations were conducted on all variables.
Results
Of the 106 initial surveys, 30 surveys were completed and included in the final analysis for a response rate of 28.3%. Of the 30 institutions responding to the survey, 53% were in urban settings and 90% were public. 31% designated a Carnegie Classification of Research University I.
Of the health education programs that responded to the survey, many had multiple programs within their departments and schools. The data presented in Table 2 illustrates the number of respondents who stated that they offered the following degrees at the identified discipline
75 J. E. Cowdery & A. Agho / Californian Journal of Health Promotion 2007, Volume 5, Issue 3, 73-79 levels (undergrad, master’s, doctorate). Within each level the percent is a reflection of the percentage of the total programs offered at that level. The majority of degrees offered were B.S. (58%) and M.S. (48%) degrees.
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Faculty
The majority of health education faculty work on a semester calendar (93%) and hold nine-month appointments (65%).
Measuring Workload Among Health Education Faculty. Part 2
For decades the credit hour was used primarily as a measure of workload specific to teaching instruction. Ehrlich (2003) posits that although the credit hour may work well enough when lectures and the fifty-minute hour predominate, the application of such a rigid measure of faculty work may serve to limit innovation in teaching. This in addition to it not being applicable to the measure of additional faculty responsibilities such as research and service. Historically issues have arisen in areas of interdisciplinary teaching, team teaching, and more recently the use of technology including on-line teaching and the incorporation of service learning into the student experience.
Originally developed in 1969 and revised in 2000, The American Association of University Professors (AAUP) Faculty Workload Statement states that the maximum teaching load for effective instruction at the undergraduate level is a teaching load of twelve hours per week and a load of nine hours per week for instruction at the graduate level (AAUP Staff, 2000).
External pressure on colleges and universities for full disclosure regarding faculty productivity is not going away any time soon (Middaugh, 2002). Although some states have managed to escape legislative interference for now, not all institutions have been so fortunate. A 1996 AAUP report found that 21 states had some kind of mandate related to faculty workload (Euben, 2003). Mandates vary from requiring annual reporting on such issues as number of hours spent by faculty members advising students, and the percentage of lower division courses taught by senior professors to mandates that full-time faculty members of state universities who are paid entirely from state funds teach at least 12 contact hours per week (Winkler, 1992). According to Porter & Umbach, one of the most salient policy issues in higher education has been the regulation of faculty work (Porter & Umbach, 2001). Historically, faculty workload is examined either due to the political climate, in order to facilitate collective bargaining agreements for unionized faculty, as a consequence of budgetary issues or in response to the lay media’s request for accountability of tax payer dollars.
Although a fair amount of discussion has occurred in the lay press, surprisingly little has been published in academic publications. The few studies which have been published deal almost exclusively with business management education and no studies were found that examined faculty workload in health education (Comm & Mathaisel, 2003; Lau, 1996). In an attempt to address this void and to provide administrators with comparison data, this study of faculty workload in health education was undertaken.
Measuring Workload Among Health Education Faculty
Legislation nationwide has mandated millions in funding cuts to state funded universities over the past several years. Additionally, university administrators frequently find themselves in the position to quantify faculty workload and productivity. The purpose of the study was to assess methodologies used by a national sample of universities to determine and assign faculty workload within health education programs. Methods included a cross-sectional descriptive study conducted utilizing a mailed survey to 106 department chairs or program directors of Health Education programs at various universities across the country. Results showed that the majority (87%) of health education programs reported using credit hours as a measure of faculty workload (rather than contact hours). For undergraduate health education faculty 12 credit hours was the typical teaching load for 54% of respondents while 35% taught nine or less credit hours. For graduate health education faculty 48% had a full time teaching load of nine hours or less while 37% reported 12 credit hours as a full time load. At the undergraduate level, administrators allocate the majority of faculty time for teaching (61% of effort) while at the graduate level the effort allocation was slightly shifted toward research with teaching occupying 58% of faculty time. It is anticipated that the results of this study will assist faculty and administrators in making informed decisions regarding faculty workload assignments.
Legislation nationwide has mandated millions in funding cuts to state funded universities over the past several years. Additionally, university administrators frequently find themselves in the position to quantify faculty workload and productivity. In an effort to assist administrators in making informed decisions regarding faculty workload assignments the following study was initiated. The purpose of the study was to assess methodologies used by a national sample of universities to determine and assign faculty workload within health education programs.
The student credit hour has been an integral component of higher education for over a century. In a review of the history of the student credit hour, Shedd (2003) describes the invention of the credit hour as a tool for smoothing transitions from high school to college. This concept was reinforced by multiple foundations including the Carnegie Foundation for the Advancement of Teaching, to encourage the adoption of business models including unit-cost analysis in higher education. Initially a measure of student learning the credit hour evolved into a measure of faculty time. Although the Carnegie unit was originally devised by a committee appointed by the National Education Association, the Carnegie foundation played a key role in the dissemination and adoption of the unit. In an effort to calculate eligibility for the retirement pensions provided by Andrew Carnegie the Carnegie unit was defined and accepted in 1909 (Shedd, 2003). The following year Morris L. Cooke developed a formula to estimate the cost and output of teaching and research to measure the efficiency and productivity of education institutions. Cooke defined a student hour as “one hour of lectures, of lab work, or recitation room work, for a single pupil” (Barrow, 1990, p. 70). This enabled relative faculty workloads to be calculated and was used by all colleges applying for the Carnegie Foundation pension system. As public educational institutions were increasingly pressured to justify their productivity the student hour became the basic measure of production (Shedd, 2003).