Association of alcohol use with quality of life (QoL): A community based study from Puducherry, India

Olickal, Jeby Jose; Saya, Ganesh Kumar; Selvaraj, Ramya; Chinnakali, Palanivel

doi:10.1016/j.cegh.2021.100697

Cited by 15 publications

(20 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Our study showed that the QOL score was found to be lower among alcohol users when compared to non-alcohol users. Similar findings were reported in previous studies such that alcoholism is related to a reduced QOL ( 46 , 47 ). Alcohol use has been shown to rise during stressful times such as pandemics ( 48 ).…”

Section: Discussionsupporting

confidence: 92%

Quality of life among patients with chronic non-communicable diseases during COVID-19 pandemic in Southern Ethiopia: A cross-sectional analytical study

Ayalew

Deribe²,

Hussen³

et al. 2022

Front. Psychiatry

View full text Add to dashboard Cite

BackgroundThe COVID-19 outbreak became a continuing global health agenda. It has a significant impact on individuals’ quality of life (QOL). Patients with preexisting medical conditions may have severely reduced QOL. The aim of this study was to assess QOL and its associated factors among patients with chronic non-communicable diseases (NCDs) during COVID-19 pandemic at Sidama Regional State, southern Ethiopia.MethodsWe conducted a multicenter, cross-sectional study from 1 June to 1 September 2021. A total of 633 participants took part in the study, using an interviewer-administered structured questionnaire. The QOL was measured using the World Health Organization Quality of Life (WHOQOL-BREF) Scale, which has 12 items. To describe different variables, descriptive statistics were employed. To find independent factors associated with QOL, we used multivariable linear regression analysis. P-value of < 0.05 was declared statistically significant at 95% confidence interval (CI).ResultsThe majority (56.4%) of participants were male and about half (53.1%) had a diagnosis of diabetes mellitus. The multivariable linear regression model showed statistically significant negative association between different independent variables such as age (β = −0.188, 95% CI = −0.238 to −0.139), being female (β = −1.942, 95% CI = −3.237 to −0.647), duration of illness ≤ 5 years (β = −4.222, 95% CI = −6.358 to −2.087), alcohol use in the past 3 months (β = −4.574, 95% CI = −6.905 to −2.243), common mental disorder (CMD) (β = −1.512, 95% CI = −2.924 to −0.100), insomnia (β = −0.274, 95% CI = −0.380 to −0.168), and QOL. Also, there is a statistically significant positive association between QOL and being illiterate (β = 3.919, 95% CI = 1.998–5.841) and living in the rural area (β = 2.616, 95% CI = 1.242–3.990).ConclusionIn general, the findings confirmed that the COVID-19 pandemic had a negative impact on patients with chronic NCDs QOL. The QOL was significantly influenced by age, gender, educational status, residence area, duration of illness, alcohol use, CMD, and insomnia during COVID-19 pandemic. Thus, this study suggests that addressing insomnia, co-morbidities of mental disorders, and alcohol use has the potential effect to improve the QOL of patients with chronic medical illnesses.

show abstract

Section: Discussionsupporting

confidence: 92%

Quality of life among patients with chronic non-communicable diseases during COVID-19 pandemic in Southern Ethiopia: A cross-sectional analytical study

Ayalew

Deribe²,

Hussen³

et al. 2022

Front. Psychiatry

View full text Add to dashboard Cite

show abstract

“…Hazardous/harmful alcohol use, also known as harmful/hazardous drinking, probable AUD, risky alcohol use, high-risk drinking, or hazardous, harmful, or dependent alcohol use, was defined as a score of ≥8 on the AUDIT in most studies including studies conducted in New Zealand,53 Norway,55 Brazil,107 108 South Africa,61 101 India,109–112 Kenya,113 Uganda,114 Nepal,115 Ethiopia,63 116–118 Malaysia,89 Thailand90 119 and Suriname 60. This definition is in keeping with the World Health Organization (WHO) recommended cut-offs for problem drinking on the AUDIT 17.…”

Section: Resultsmentioning

confidence: 99%

“…Likewise, AUD comprising AA, AD, hazardous, harmful or dependent alcohol use was reported by 31 of 52 LMIC studies, including South Africa,57 61 80 101 Sri Lanka,79 Ethiopia,50 51 59 63 116–118 China,122 Brazil,49 52 107 108 India,109–112 Kenya,113 Uganda,114 Nepal,115 Cambodia,58 Malaysia,89 Thailand,90 119 Suriname60 and Mozambique120 (online supplemental file 4, table). Either current or lifetime prevalence of any AUD ranged from 4.1% to 41.0% in the overall sample, from 14.5% to 66.6% in males and from 2.0% to 33.4% in females.…”

Section: Resultsmentioning

confidence: 99%

Scoping review of assessment tools for, magnitudes of and factors associated with problem drinking in population-based studies

Dagne,

Myers,

Mihretu

et al. 2024

BMJ Open

View full text Add to dashboard Cite

BackgroundThe term “problem drinking” includes a spectrum of alcohol problems ranging from excessive or heavy drinking to alcohol use disorder. Problem drinking is a leading risk factor for death and disability globally. It has been measured and conceptualised in different ways, which has made it difficult to identify common risk factors for problem alcohol use. This scoping review aims to synthesise what is known about the assessment of problem drinking, its magnitude and associated factors.MethodsFour databases (PubMed, Embase, PsycINFO, Global Index Medicus) and Google Scholar were searched from inception to 25 November 2023. Studies were eligible if they focused on people aged 15 and above, were population-based studies reporting problem alcohol use and published in the English language. This review was reported based on guidelines from the ‘Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews Checklist’. Critical appraisal was done using the Newcastle-Ottawa Scale.ResultsFrom the 14 296 records identified, 10 749 underwent title/abstract screening, of which 352 full-text articles were assessed, and 81 articles were included for data extraction. Included studies assessed alcohol use with self-report quantity/frequency questionnaires, criteria to determine risky single occasion drinking, validated screening tools, or structured clinical and diagnostic interviews. The most widely used screening tool was the Alcohol Use Disorder Identification Test. Studies defined problem drinking in various ways, including excessive/heavy drinking, binge drinking, alcohol use disorder, alcohol abuse and alcohol dependence. Across studies, the prevalence of heavy drinking ranged from <1.0% to 53.0%, binge drinking from 2.7% to 48.2%, alcohol abuse from 4.0% to 19.0%, alcohol dependence from 0.1% to 39.0% and alcohol use disorder from 2.0% to 66.6%. Factors associated with problem drinking varied across studies. These included sociodemographic and economic factors (age, sex, relationship status, education, employment, income level, religion, race, location and alcohol outlet density) and clinical factors (like medical problems, mental disorders, other substance use and quality of life).ConclusionsDue to differences in measurement, study designs and assessed risk factors, the prevalence of and factors associated with problem drinking varied widely across studies and settings. The alcohol field would benefit from harmonised measurements of alcohol use and problem drinking as this would allow for comparisons to be made across countries and for meta-analyses to be conducted.Trial registration numberOpen Science Framework ID:https://osf.io/2anj3.

show abstract

“…The mental-related quality of life was reduced by alcohol and HIV infection but increased in patients older than 45. Alcohol tends to decrease the quality of life through its effect on both the physical and emotional social relationship domains [19] and HIV, with its associated stigma debilitatingly impacting the patient's quality of life by increasing stress, anxiety and depression. Counselling to reduce their alcohol consumption to clinically acceptable levels would therefore be bene cial [20].…”

Section: Discussionmentioning

confidence: 99%

“…Globally, an estimated 10.6 million people contracted tuberculosis, with 1.6 million deaths in 2021 [2]. The prevalence rates in resource-limited settings remain high, and the interruption of healthcare due to the Corona Virus Disease (COVID- 19) probably exacerbated it [2].…”

Section: Introductionmentioning

confidence: 99%

Socio-demographic and clinical determinants of quality of life among tuberculosis patients in Ghana: A prospective cohort study

Djochie

Anto

Opare-Addo

2023

Preprint

View full text Add to dashboard Cite

Background Tuberculosis affects patients' health-related quality of life because of its symptoms, prolonged duration of treatment and associated stigma. By identifying patients at greater risk of poor quality of life, interventional measures could be implemented to improve the health-related quality of life, medication adherence rates and treatment success for holistic patient care. Therefore, this study aimed to describe the quality of life of tuberculosis patients at baseline and its changes with treatment and to investigate the relationship between the quality of life and socio-demographic and clinical variables. Methods A prospective cohort study of newly diagnosed active tuberculosis patients was conducted between January 2021 and June 2022. The short-form 12 version 2 (SF12v2) questionnaire was administered at baseline, and follow-up was done at the end of the intensive phase and end of treatment to assess participants' health-related quality of life at each stage of treatment. Higher physical and mental component summary scores indicate better quality of life. To identify independent relationships with quality of life, a logistic regression model was performed. Results At the start of treatment, 78.8% of participants had a physical impairment, while 25.7% were at risk of depression. Even though the quality of life improved with treatment, 59.5% of participants still had a physical impairment, and 15.5% were depressed at the end of treatment. Alcohol use (p = 0.03) and HIV infection (p = 0.021) reduced mental health at baseline. Predictors of physical impairment at the end of therapy include age > 45 years (p = 0.044), female gender (p = 0.01), unemployment (p = 0.009), pulmonary TB (p = 0.001) and starting HIV treatment before TB (p = 0.002). There was a clinically significant improvement in the physical component summary score (3.3) but not in mental health (1.7). Conclusion Tuberculosis significantly affects patients’ quality of life even after completing treatment. Identifying patients who are at greater risk and instituting preventive measures could improve their quality of life for holistic care.

show abstract

Association of alcohol use with quality of life (QoL): A community based study from Puducherry, India

Cited by 15 publications

References 10 publications

Quality of life among patients with chronic non-communicable diseases during COVID-19 pandemic in Southern Ethiopia: A cross-sectional analytical study

Quality of life among patients with chronic non-communicable diseases during COVID-19 pandemic in Southern Ethiopia: A cross-sectional analytical study

Scoping review of assessment tools for, magnitudes of and factors associated with problem drinking in population-based studies

Socio-demographic and clinical determinants of quality of life among tuberculosis patients in Ghana: A prospective cohort study

Contact Info

Product

Resources

About