[toc]

demographic analysis mental health study review

Concise Guide to APA Style: 7th Edition (OFFICIAL)

Page 172 Review

DOCTYPE html>

Book Review: Sociodemographic Characteristics in Mental Health Studies

Analyzing Participant Demographics: A Review of Tables and Figures

This excerpt presents a detailed demographic breakdown of participants in a study, likely focusing on mental health interventions.

The table provides valuable insights into the composition of the sample across different conditions: Guided self-help, Unguided self-help, and a Wait-list control group.

Let’s delve into the key observations:

Sociodemographic Characteristics: A Deeper Dive

Gender Distribution

The table highlights a near-equal gender distribution across all groups, with females comprising approximately 45.3% and males 54.7% of the full sample. “Female 25 50 20 40 23 46 68 45.3 Male 25 50 30 60 27 54 82 54.7” This balance is crucial for ensuring the generalizability of the study’s findings to both genders.

Marital Status and Cohabitation

A significant majority of participants are either married or partnered (67.3%), while a smaller percentage are single (27.3%). “Single 13 26 11 22 17 34 41 27.3 Married/partnered 35 70 38 76 28 56 101 67.3”.

The relatively low percentage of divorced/widowed individuals (4.0%) suggests a potentially stable demographic.

Furthermore, a substantial portion of the sample is cohabitating (66.0%), indicating a significant level of committed relationships within the participant pool. “Cohabitating 37 74 36 72 26 52 99 66.0”

Educational Attainment

The educational levels of the participants vary, with the largest group holding a university or post-graduate degree (59.3%). “University or post- 27: 54 30 60 32 64 89 59.3 graduate degree”.

A considerable number also possess a high school/some college education (34.7%). “High school/some 22 44 17 34 13 26 52 34.7 college”.

The presence of a small number of participants with only a middle school education (1.3%) suggests a broad range of educational backgrounds within the sample. “Middle school 0 0 1 2 1 2 2 a°3,”.

Employment Status

The majority of participants are employed (66.0%), indicating a generally active workforce. “Employed 30 60 29 58 40 80 99 66.0”.

A smaller percentage are self-employed (14.0%), while students comprise another notable segment (12.0%). “Student 8 16 7, 14 3} 6 18 12.0”.

The relatively low rate of unemployment (6.7%) suggests a stable economic situation for most participants. “Unemployed 3 6 5 10 72 4 10 6.7”.

Finally, a very small percentage are retired (1.3%).”Retired 0 0 2 4 te) 0 2 13″

Previous Psychological Treatment and Medication

Approximately 39.3% of participants report previous use of psychological treatment. “use of Previous psychological 17 34 18 36 24 48 59 39.3 specific treatment?” This indicates a willingness to seek help for mental health issues within the sample.

Additionally, 20.0% have previously used psychotropic medication. “Previous psychotropic 6 12 13 26 ill 22 30 20.0 medication?” This statistic provides important context for understanding the participants’ prior experiences with mental health care.

Implications for Research

The detailed demographic information presented in this table is crucial for several reasons.

First, it allows researchers to assess the representativeness of their sample and consider potential biases.

Second, it enables them to explore the relationship between sociodemographic factors and treatment outcomes.

For example, researchers might investigate whether marital status or educational level influences the effectiveness of guided self-help interventions.

Furthermore, understanding the prevalence of previous psychological treatment and medication use is essential for interpreting the results of the study.

Participants with prior experience in mental health care may respond differently to interventions compared to those who are new to treatment.

Conclusion

In summary, this table provides a comprehensive overview of the sociodemographic characteristics of the participants in this study.

The information presented is essential for understanding the context of the research and interpreting the findings.

By carefully considering these demographic factors, researchers can draw more accurate and meaningful conclusions about the effectiveness of different mental health interventions.

Buy full ebook for only $18: https://www.lulu.com/shop/american-psychological-association/concise-guide-to-apa-style-7th-edition-official/ebook/product-rmzpq54.html?page=1&pageSize=4

Demographic Analysis: Mental Health Study Review