Skip Navigation
Skip to contents

JPMPH : Journal of Preventive Medicine and Public Health

OPEN ACCESS
SEARCH
Search

Search

Page Path
HOME > Search
2 "Rimawati Aulia Insani Sadarang"
Filter
Filter
Article category
Keywords
Publication year
Authors
Original Articles
Prevalence and Factors Affecting Discrimination Towards People Living With HIV/AIDS in Indonesia
Rimawati Aulia Insani Sadarang
J Prev Med Public Health. 2022;55(2):205-212.   Published online March 24, 2022
DOI: https://doi.org/10.3961/jpmph.21.502
  • 3,602 View
  • 147 Download
  • 3 Web of Science
  • 2 Crossref
AbstractAbstract PDF
Objectives
This study aimed to identify the behaviors associated with discrimination towards people living with HIV/AIDS (PLHA) in Indonesia and to determine the factors affecting discrimination.
Methods
Secondary data from the 2017 Indonesia Demographic and Health Survey were analyzed using a cross-sectional design. Discrimination was assessed based on the questions (1) “Should children infected with HIV/AIDS be allowed to attend school with non-infected children?” and (2) “Would you buy fresh vegetables from a farmer or shopkeeper known to be infected with HIV/AIDS?” Multivariable logistic regression was used to determine the factors affecting discrimination, with adjusted odds ratio (aOR) and 95% confidence interval (CIs) used to show the strength, direction, and significance of the associations among factors.
Results
In total, 68.9% of 21 838 individuals showed discrimination towards PLHA. The odds of discrimination were lower among women (aOR, 0.63; 95% CI, 0.55 to 0.71), rural dwellers (aOR, 0.81; 95% CI, 0.75 to 0.89), those who understood how HIV is transmitted from mother to child (aOR, 0.81; 95% CI, 0.73 to 0.89), and those who felt ashamed of their own family’s HIV status (aOR, 0.56; 95% CI, 0.52 to 0.61). The odds were higher among individuals who knew how to reduce the risk of getting HIV/AIDS (aOR, 1.27; 95% CI, 1.15 to 1.39), how HIV/AIDS is transmitted (aOR, 3.49; 95% CI, 3.09 to 3.95), and were willing to care for an infected relative (aOR, 2.78; 95% CI, 2.47 to 3.13). A model consisting of those variables explained 69% of the variance in discrimination.
Conclusions
Gender, residence, knowledge, and attitudes related to HIV/AIDS were explanatory factors for discrimination against PLHA. Improvements in HIV/AIDS education programs are needed to prevent discrimination.
Summary

Citations

Citations to this article as recorded by  
  • Employment Discrimination for People Living with HIV in China: The Challenges of Law vs. Practice
    Ziyi Xie, Zhizhuang Duan
    Labor History.2024; 65(5): 699.     CrossRef
  • A Peer-support Mini-counseling Model to Improve Treatment in HIV-positive Pregnant Women in Kupang City, East Nusa Tenggara, Indonesia
    Artha Camellia, Plamularsih Swandari, Gusni Rahma, Tuti Parwati Merati, I Made Bakta, Dyah Pradnyaparamita Duarsa
    Journal of Preventive Medicine and Public Health.2023; 56(3): 238.     CrossRef
Factors Associated With Quitting Smoking in Indonesia
Rimawati Aulia Insani Sadarang
J Prev Med Public Health. 2021;54(2):137-144.   Published online March 8, 2021
DOI: https://doi.org/10.3961/jpmph.20.293
  • 5,270 View
  • 252 Download
  • 3 Web of Science
  • 4 Crossref
AbstractAbstract PDF
Objectives
The aim of this study was to identify factors associated with quitting smoking in Indonesia
Methods
Data on 11 115 individuals from the fifth wave of the Indonesia Family Life Survey were analyzed. Quitting smoking was the main outcome, defined as smoking status based on the answer to the question “do you still habitually (smoke cigarettes/smoke a pipe/use chewing tobacco) or have you totally quit?” Logistic regression was performed to identify factors associated with successful attempts to quit smoking.
Results
The prevalence of quitting smoking was 12.3%. The odds of successfully quitting smoking were higher among smokers who were female (adjusted odds ratio [aOR], 2.69; 95% confidence interval [CI], 2.08 to 3.33), were divorced (aOR, 2.45; 95% CI, 1.82 to 3.29), did not chew tobacco (aOR, 3.01; 95% CI, 1.79 to 5.08), found it difficult to sacrifice smoking at other times than in the morning (aOR, 1.29; 95% CI, 1.14 to 1.46), and not smoke when sick (aOR, 1.32; 95% CI, 1.14 to 1.54). About 59% of variance in successful attempts to quit smoking could be explained using a model consisting of those variables.
Conclusions
Female sex, being divorced, not chewing tobacco, and nicotine dependence increased the odds of quitting smoking and were associated with quitting smoking successfully. Regular and integrated attempts to quit smoking based on individuals’ internal characteristics, tobacco use activity, and smoking behavior are needed to quit smoking.
Summary

Citations

Citations to this article as recorded by  
  • Predictor of smoking cessation among school-going adolescents in Indonesia: a secondary analysis based on the transtheoretical model of behavioral change
    Omid Dadras
    Frontiers in Psychiatry.2024;[Epub]     CrossRef
  • Factors associated with quitting smoking among males: Findings from Indonesian national health survey
    Diyan Ermawan Effendi, Irfan Ardani, Sri Handayani, Rozana Ika Agustiya, Arief Priyo Nugroho, Oktriyanto Oktriyanto, Astridya Paramita, Deasy Febriyanty, Risqa Novita, Aris Yulianto
    Clinical Epidemiology and Global Health.2024; 28: 101672.     CrossRef
  • Individual-, social- and policy- factors associated with smoking cessation among adult male cigarette smokers in Hanoi, Vietnam: a longitudinal study
    Thi Ngoc Phuong Nguyen, Jesper Love, Monica Hunsberger, Thi Phuong Thao Tran, Thuy Linh Nguyen, Thi Hai Phan, Ngoc Khue Luong, Van Minh Hoang, Nawi Ng
    BMC Public Health.2023;[Epub]     CrossRef
  • Quit Smoking Clinic: Factors Associated with Successful Quit Smoking in Besut District, Terengganu State of Malaysia
    Nur Raihan Ismail, Hafizuddin Awang, Nurul Jannah A Rahman, Arfizah Ahmad Daud, Mohd Fariz Zulrushdi, Azmi Zainuddin, Mohd Anuar Abd Rahman, Kasemani Embong
    European Journal of Medical and Health Sciences.2022; 4(6): 6.     CrossRef

JPMPH : Journal of Preventive Medicine and Public Health
TOP