Screening for Depression in Minority Young Males: A Study Review
This paper evaluates the research article "Screening for Depression Among Minority Young Males Attending a Family Planning Clinic" by Buzi, Smith, and Weinman (2014). It summarizes the study's background, methodology, and findings while critically examining the types of variables employed — including sociodemographic and service-request variables — and the appropriateness of the chi-square statistical analysis used. The paper also considers whether the participant sample represented adequate diversity. The study found that 119 of 535 participants met criteria for depressive disorder, with Hispanic males showing higher rates than African American males. The evaluation concludes that while the statistical methods were well-suited to the data, the ethnic diversity of the sample was limited relative to the study's broader aims.
- Introduction: Purpose and scope of the article evaluation
- Summary of the Research: Background, methods, results, and conclusions of the study
- Types of Variables Used in the Analysis: Classification of sociodemographic and service-request variables
- Use of Chi-Square to Analyze the Data: Rationale for chi-square as the appropriate statistical test
- Participant Diversity: Assessment of ethnic and demographic diversity in the sample
- Conclusion: Overall evaluation of the study's methodology and limitations
✍️ How to write this paper — guide, tools & examples ▾
What makes this paper effective
- The paper clearly distinguishes between the summary role and the evaluative role, first presenting the study's findings before analyzing the methodological choices.
- The variable classification table is a strong organizational device that makes abstract statistical concepts concrete and easy to follow.
- The critical assessment of participant diversity is balanced — acknowledging both the limitations (only two ethnicities) and the strengths (varied age, marital status, and employment characteristics).
Key academic technique demonstrated
The paper demonstrates article critique and methodological evaluation. Rather than simply restating a study, it examines why the researchers chose specific statistical tools (Pearson's chi-square) and whether those choices align with the data type (categorical/nominal variables). This is a core skill in research methods courses and shows the ability to connect data types to appropriate analytical frameworks.
Structure breakdown
The paper follows a clear review structure: introduction stating the evaluative purpose → study summary subdivided into background, method, results, and conclusion → analytical sections on variable types and statistical method → critical assessment of sample diversity → references. This logical sequencing moves the reader from comprehension to evaluation in a stepwise fashion suited to undergraduate research methods writing.
Introduction
In the article "Screening for Depression Among Minority Young Males Attending a Family Planning Clinic," Ruth S. Buzi, Peggy B. Smith, and Maxine L. Weinman sought to determine the prevalence of depression among males who attended a family planning clinic and whether variations in depression existed based on service requests and sociodemographic characteristics. This paper evaluates that article with the objective of identifying the variables used, the analysis method employed, and how these choices are appropriate for the type of study and the data collected. The evaluation also includes a summary of the study.
Summary of the Research
Major Depressive Disorder (MDD) is one of the most common chronic conditions. According to statistics, one in every five Americans aged 18 years and older has experienced at least one major episode of depression. This is even more pronounced among young people, as the rate of mental illness is twice as high among persons aged 18–25 as compared to persons aged 50 and above (Buzi et al., 2014, p. 116). In addition, young males experience persistent depressive symptoms from adolescence into adulthood at higher rates than females. The causes of depression are considered to include economic strain, racial discrimination, and interpersonal conflicts. Despite experiencing higher rates of depressive episodes, men seek professional help less frequently than women, as seeking mental health assistance is often perceived as a sign of weakness. These factors warranted Buzi and her colleagues' study assessing depression among males attending a family planning clinic and examining whether depression varied based on service requests and sociodemographic characteristics.
The study utilized a cohort study design with 535 participants of both African American (66%) and Hispanic American (34%) descent. Participants were males who attended the clinic during specific hours and were between 13 and 25 years of age. The Center for Epidemiologic Studies Depression Scale (CES-D) was used to measure depression. The CES-D consists of 20 questions that each participant was required to answer, and a score of 16 or higher indicates a depressive disorder. Sociodemographic measures included age, school status, ethnicity, fatherhood status, marital status, health insurance ownership, and employment status. Service-request measures involved 20 services the males wanted to learn more about, including health screening, relationships, anger management, employment, eating well and exercising, and education. A chi-square test was used to compare the depressed and non-depressed groups on the basis of these sociodemographic characteristics.
The results indicated that 119 out of 535 participants met the criteria for depressive disorder. The chi-square test showed that Hispanic males were more depressed than African American males (28.6% vs. 19.0%). Employment was another demographic characteristic that had a significant effect on depressive disorder, as Hispanic males were more likely to be employed than African American males. Of the 20 services assessed, statistically significant differences were found in 10 of them. Depressed males were more likely to request services concerning STD prevention, how to get along with partners and family, eating well, getting a job, depression, working out, testicular cancer, college and loan applications, emergency contraceptives, and vasectomy.
Based on these findings, the authors concluded that depressed young males are more likely to be Hispanic and to have unmet needs related to finances, emotional wellbeing, physical health, and relationships. Most importantly, when given the opportunity, these depressed young men express those needs. Given the increasing number of young men visiting family planning clinics, the authors identified this as a favorable setting for depression screening.
Types of Variables Used in the Analysis
The study measured two aspects related to depression: sociodemographic characteristics and service requests. For sociodemographic characteristics, the variables included age, ethnicity, health insurance ownership, school status, marital status, employment status, and fatherhood status. The table below categorizes these variables by type.
Age — Ratio (Continuous Numerical): A participant's age is numerical and can take any value, including decimals (Gissane, 2013).
Ethnicity — Nominal: Ethnicity is a categorical label; in this case, either Hispanic or African American.
Owning Health Insurance — Nominal: Participants respond with either yes or no, which represents a named category, making this a nominal variable.
School Status — Nominal: Participants indicate a named education level, making this a nominal variable.
Marital Status — Nominal: A specific marital status label is required, making this a nominal variable.
Employment Status — Nominal: Participants are either employed or not, a binary named category and thus a nominal variable.
Fatherhood Status — Nominal: The required response names a specific status — father or not — making this a nominal variable.
For the service-request aspect of the study, researchers asked participants which of 20 services they wanted to learn more about. These services — including health screening, relationships, anger management, eating well and exercise, employment, and education — are treated as variables. For each service, participants indicated yes or no as to whether they wanted more information. Because these responses are categorical name-based answers, they are classified as nominal variables (Gissane, 2013).
Conclusion
This evaluation has examined the variables, statistical methods, and sample diversity of the Buzi et al. (2014) study on depression among minority young males attending a family planning clinic. The sociodemographic and service-request variables were appropriately classified as nominal, with the exception of age, which is a continuous ratio variable. The chi-square test was a well-suited analytical choice given the categorical nature of the data and the goal of comparing two independent groups. The primary methodological limitation identified is the restricted ethnic diversity of the sample, which included only African American and Hispanic participants despite the broader diversity of the American population. Nevertheless, the study makes a meaningful contribution by demonstrating that family planning clinics represent a viable and underutilized setting for identifying and addressing depression in young minority males.
References
Buzi, R. S., Smith, P. B., & Weinman, M. L. (2014). Screening for depression among minority young males attending a family planning clinic. Psychology of Men & Masculinity, 15(1), 116.
Gissane, C. (2013). What kind of data do I have? Physiotherapy Practice and Research, 34(2), 123–125.
McHugh, M. L. (2013). The chi-square test of independence. Biochemia Medica, 23(2), 143–149.
Create your account
Always verify citation format against your institution’s current style guide requirements.