The prevalence of psychological distress and its associated sociodemographic factors in the Australian adults aged 18-64 years during COVID-19: Data from the Australian National Health Survey

被引:1
作者
Dharmayani, Putu Novi Arfirsta [1 ]
Mihrshahi, Seema [1 ]
机构
[1] Macquarie Univ, Fac Med Hlth & Human Sci, Dept Hlth Sci, 75 Talavera Rd, Macquarie Pk, NSW 2109, Australia
关键词
Psychological distress; Sociodemographic; Adults; COVID-19; Pandemic; Mental health; MENTAL-HEALTH; LOCKDOWN; SAMPLE;
D O I
10.1016/j.jad.2024.09.085
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Objective: COVID-19 significantly contributed to an increase in psychological distress and may have disproportionally impacted certain sociodemographic groups. This study aimed to assess the prevalence of psychological distress among Australian adults aged 18-64 years and identify sociodemographic factors associated with psychological distress during the COVID-19 pandemic. Methods: Secondary analyses were conducted using data from the National Health Survey 2020-21 to calculate weighted national estimates of the prevalence of psychological distress using the Kessler Psychological Distress scale (K10). The association between sociodemographic factors and psychological distress was analysed using multivariable logistic regression, with adjustments for complex survey design. Results: The average of K10 score was 16.94, with a prevalence of combined high/very high distress reported at 21.13 % among Australian adults. Young women aged 18-25 reported the highest average scores (M = 20.44) across all sex and age groups. Risk factors associated with psychological distress included lower personal income, marital status (never married; widowed/divorced/separated) and being 'born in Australia'. Protective factors included homeownership and having children in the household. Additionally, among women, being aged >= 56 was significantly associated with lower odds of psychological distress. Limitations: Data collection relied on self-completed online form, and a cross-sectional design limits the inference of a causal relationship. Discussion: During COVID-19 pandemic, lower personal income and being female have consistently been identified as risk factors for psychological distress. Targeted and tailored interventions based on age, sex and disadvantage are warranted, particularly focusing on younger women, to alleviate the adverse effect of the pandemic on the population's mental health.
引用
收藏
页码:312 / 319
页数:8
相关论文
共 53 条
  • [1] COVID-19-Related Trajectories of Psychological Health of Acute Care Healthcare Professionals: A 12-Month Longitudinal Observational Study
    Abegglen, Sandra
    Greif, Robert
    Fuchs, Alexander
    Berger-Estilita, Joana
    [J]. FRONTIERS IN PSYCHOLOGY, 2022, 13
  • [2] A global analysis of the effectiveness of policy responses to COVID-19
    Agyapon-Ntra, Kwadwo
    McSharry, Patrick E.
    [J]. SCIENTIFIC REPORTS, 2023, 13 (01)
  • [3] Suicide ideation among Brazilian college students: Relationship with academic factors, mental health, and sexual abuse
    Altavini, Camila Siebert
    Asciutti, Antonio Paulo Rinaldi
    Santana, Geilson Lima
    Solis, Ana Cristina Oliveira
    Andrade, Laura Helena
    Oliveira, Lucio Garcia
    Andrade, Arthur Guerra
    Gorenstein, Clarice
    Wang, Yuan-Pang
    [J]. JOURNAL OF AFFECTIVE DISORDERS, 2023, 329 : 324 - 334
  • [4] When to use the Bonferroni correction
    Armstrong, Richard A.
    [J]. OPHTHALMIC AND PHYSIOLOGICAL OPTICS, 2014, 34 (05) : 502 - 508
  • [5] Is the lockdown important to prevent the COVID-19 pandemic? Effects on psychology, environment and economy-perspective
    Atalan, Abdulkadir
    [J]. ANNALS OF MEDICINE AND SURGERY, 2020, 56 : 38 - 42
  • [6] Australian Bureau of Statistics, 2015, 4364.0.55.001-National Health Survey: first results, 2014-15
  • [7] Australian Bureau of Statistics, 2019, 43630 NATL HLTH SURV
  • [8] Australian Bureau of Statistics, 2022, NATL HLTH SURVEY 1 R
  • [9] Australian Bureau of Statistics, 2001, 2003.4817.0.55.001-information paper: use of the Kessler Psychological Distress Scale in ABS Health Surveys
  • [10] Australian Bureau of Statistics, 2013, 4363.0.55.001 - Australian Health Survey: Users' Guide, 2011-13