Analyzing risky behaviors among different minority and majority race in teenagers in the USA using latent classes
Objective: This study is to ascertain any inconsistencies in the trend of co-occurrence by sex of teenage health risk behavior patterns such as smoking, behaviors contributing to deliberate and unintentional injuries, risky sexual behavior, and sedentary lifestyle.Methods: The study’s purpose was ac...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2023-02-01
|
| Series: | Frontiers in Behavioral Neuroscience |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fnbeh.2023.1089434/full |
| _version_ | 1811164247779966976 |
|---|---|
| author | Zeeshan Aslam Zeeshan Aslam Muhammad Asim Iqra Javaid Faisal Rasheed Muhammad Naveed Akhter |
| author_facet | Zeeshan Aslam Zeeshan Aslam Muhammad Asim Iqra Javaid Faisal Rasheed Muhammad Naveed Akhter |
| author_sort | Zeeshan Aslam |
| collection | DOAJ |
| description | Objective: This study is to ascertain any inconsistencies in the trend of co-occurrence by sex of teenage health risk behavior patterns such as smoking, behaviors contributing to deliberate and unintentional injuries, risky sexual behavior, and sedentary lifestyle.Methods: The study’s purpose was accomplished using Youth Risk Behavior Surveillance System (YRBSS) 2013 data. A Latent Class Analysis (LCA) was conducted for the entire sample of teenagers as well as separately for each sex.Results: In this subset of youths, marijuana use was acknowledged by more than half of them, and smoking cigarettes was far more likely. More than half of the individuals in this subset engaged in risky sexual practices, like not using a condom during their most recent encounter. Males were split into three categories based on their involvement in risky behavior, while females were split into four subgroups.Conclusion: Regardless of gender, various risk behaviors among teenagers are connected. However, gender variations in the higher risk of particular trends, such as mood disorders and depression among females, underline the significance of creating treatments that take adolescent demographics into account. |
| first_indexed | 2024-04-10T15:18:22Z |
| format | Article |
| id | doaj.art-7baeb4862d8c4f818ac5ab2511406eb1 |
| institution | Directory Open Access Journal |
| issn | 1662-5153 |
| language | English |
| last_indexed | 2024-04-10T15:18:22Z |
| publishDate | 2023-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Behavioral Neuroscience |
| spelling | doaj.art-7baeb4862d8c4f818ac5ab2511406eb12023-02-14T17:08:09ZengFrontiers Media S.A.Frontiers in Behavioral Neuroscience1662-51532023-02-011710.3389/fnbeh.2023.10894341089434Analyzing risky behaviors among different minority and majority race in teenagers in the USA using latent classesZeeshan Aslam0Zeeshan Aslam1Muhammad Asim2Iqra Javaid3Faisal Rasheed4Muhammad Naveed Akhter5Nishtar Institute of Dentistry (NID), Multan, PakistanNishtar Medical University, Multan, PakistanWah Medical College, WahCantt, PakistanCMH Lahore Medical and Dental College, Lahore, PakistanNishtar Medical University, Multan, PakistanNishtar Medical University, Multan, PakistanObjective: This study is to ascertain any inconsistencies in the trend of co-occurrence by sex of teenage health risk behavior patterns such as smoking, behaviors contributing to deliberate and unintentional injuries, risky sexual behavior, and sedentary lifestyle.Methods: The study’s purpose was accomplished using Youth Risk Behavior Surveillance System (YRBSS) 2013 data. A Latent Class Analysis (LCA) was conducted for the entire sample of teenagers as well as separately for each sex.Results: In this subset of youths, marijuana use was acknowledged by more than half of them, and smoking cigarettes was far more likely. More than half of the individuals in this subset engaged in risky sexual practices, like not using a condom during their most recent encounter. Males were split into three categories based on their involvement in risky behavior, while females were split into four subgroups.Conclusion: Regardless of gender, various risk behaviors among teenagers are connected. However, gender variations in the higher risk of particular trends, such as mood disorders and depression among females, underline the significance of creating treatments that take adolescent demographics into account.https://www.frontiersin.org/articles/10.3389/fnbeh.2023.1089434/fulladolescencedemographicLCAsexual behaviorYRBSS |
| spellingShingle | Zeeshan Aslam Zeeshan Aslam Muhammad Asim Iqra Javaid Faisal Rasheed Muhammad Naveed Akhter Analyzing risky behaviors among different minority and majority race in teenagers in the USA using latent classes Frontiers in Behavioral Neuroscience adolescence demographic LCA sexual behavior YRBSS |
| title | Analyzing risky behaviors among different minority and majority race in teenagers in the USA using latent classes |
| title_full | Analyzing risky behaviors among different minority and majority race in teenagers in the USA using latent classes |
| title_fullStr | Analyzing risky behaviors among different minority and majority race in teenagers in the USA using latent classes |
| title_full_unstemmed | Analyzing risky behaviors among different minority and majority race in teenagers in the USA using latent classes |
| title_short | Analyzing risky behaviors among different minority and majority race in teenagers in the USA using latent classes |
| title_sort | analyzing risky behaviors among different minority and majority race in teenagers in the usa using latent classes |
| topic | adolescence demographic LCA sexual behavior YRBSS |
| url | https://www.frontiersin.org/articles/10.3389/fnbeh.2023.1089434/full |
| work_keys_str_mv | AT zeeshanaslam analyzingriskybehaviorsamongdifferentminorityandmajorityraceinteenagersintheusausinglatentclasses AT zeeshanaslam analyzingriskybehaviorsamongdifferentminorityandmajorityraceinteenagersintheusausinglatentclasses AT muhammadasim analyzingriskybehaviorsamongdifferentminorityandmajorityraceinteenagersintheusausinglatentclasses AT iqrajavaid analyzingriskybehaviorsamongdifferentminorityandmajorityraceinteenagersintheusausinglatentclasses AT faisalrasheed analyzingriskybehaviorsamongdifferentminorityandmajorityraceinteenagersintheusausinglatentclasses AT muhammadnaveedakhter analyzingriskybehaviorsamongdifferentminorityandmajorityraceinteenagersintheusausinglatentclasses |