scholarly journals Health-related quality of life variations by sociodemographic factors and chronic conditions in three metropolitan cities of South Asia: the CARRS study

BMJ Open ◽  
2017 ◽  
Vol 7 (10) ◽  
pp. e018424 ◽  
Author(s):  
Kavita Singh ◽  
Dimple Kondal ◽  
Roopa Shivashankar ◽  
Mohammed K Ali ◽  
Rajendra Pradeepa ◽  
...  

ObjectivesHealth-related quality of life (HRQOL) is a key indicator of health. However, HRQOL data from representative populations in South Asia are lacking. This study aims to describe HRQOL overall, by age, gender and socioeconomic status, and examine the associations between selected chronic conditions and HRQOL in adults from three urban cities in South Asia.MethodsWe used data from 16 287 adults aged ≥20 years from the baseline survey of the Centre for Cardiometabolic Risk Reduction in South Asia cohort (2010–2011). HRQOL was measured using the European Quality of Life Five Dimension—Visual Analogue Scale (EQ5D-VAS), which measures health status on a scale of 0 (worst health status) to 100 (best possible health status).Results16 284 participants completed the EQ5D-VAS. Mean age was 42.4 (±13.3) years and 52.4% were women. 14% of the respondents reported problems in mobility and pain/discomfort domains. Mean VAS score was 74 (95% CI 73.7 to 74.2). Significantly lower health status was found in elderly (64.1), women (71.6), unemployed (68.4), less educated (71.2) and low-income group (73.4). Individuals with chronic conditions reported worse health status than those without (67.4 vs 76.2): prevalence ratio, 1.8 (95% CI 1.61 to 2.04).ConclusionsOur data demonstrate significantly lower HRQOL in key demographic groups and those with chronic conditions, which is consistent with previous studies. These data provide insights on inequalities in population health status, and potentially reveal unmet needs in the community to guide health policies.

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Susan Reisine ◽  
Jean J. Schensul ◽  
Apoorva Salvi ◽  
James Grady ◽  
Toan Ha ◽  
...  

Abstract Background Quality of life outcomes have been used frequently in clinical trials of oral health interventions. This study assessed the effects of a randomized trial on oral health related quality of life comparing an individual-based oral hygiene intervention to a community-based intervention. Methods Participants were recruited from six low-income senior housing residences. Buildings were randomly assigned to receive the individual-based intervention followed by the community-based intervention or to receive the community-based intervention followed by the individual intervention. Participants’ oral hygiene was assessed at baseline (T0), one month after the first intervention (T1) and one month after the second intervention (T2) and six months after the T2 assessment (T3). Oral hygiene was measured by the Gingival Index (GI) and Plaque scores (PS). Surveys collected data on beliefs, attitudes, behaviors and self-reported health status at T0, T1 and T2. Only oral hygiene and quality of life, measured by the General Oral Health Assessment Index (GOHAI), was assessed at all time points. general linear mixed models (GLMM) were used to assess changes in GOHAI over time, the interaction of condition by time and the contribution of psychosocial, behavioral, health status and background variables to changes in GOHAI. Results 331 people completed T0 assessments; 306 completed T1; 285 completed T2 and 268 completed T3. Scores on GOHAI at T0 ranged from 10 to 48 with a mean of 39.7 (sd = 7.8) and a median of 42. At T1, mean GOHAI was 40.7 (sd = 8.2), at T2 mean GOHAI was 41.1 (sd = 7.8) and at T3, GOHAI was 42.3 (sd = 8.2). GLMM showed that GOHAI improved significantly from T0 to T3 (p = 0.01) but the time by intervention interaction was not significant indicating that both interventions were effective in improving GOHAI but one intervention was not better than the other. Ethnicity, health status, worries, self-efficacy, number of missing teeth and symptoms of dry mouth were related to improvements in GOHAI. Neither GI nor PS were related to GOHAI. Conclusions The participants reported relatively good oral health related quality of life which improved significantly over time. Improvement occurred among all participants regardless of condition, suggesting that either intervention would be effective in future studies. Trial Registry: Clinicaltrials.gov, Clinical Trials ID #NCT02419144; Title: A Bi-level Intervention to Improve Older Adult Oral Health Status; Registered 04/07/2015 URL: https://register.clinicaltrials.gov/prs/app/action/SelectProtocol?sid=S0005H9X&selectaction=Edit&uid=U0000KBK&ts=2&cx=-rajj5q


2004 ◽  
Vol 171 (4S) ◽  
pp. 101-102
Author(s):  
Tracey L. Krupski ◽  
Arlene Fink ◽  
Lorna Kwan ◽  
Sarah Connor ◽  
Sally L. Maliski ◽  
...  

PEDIATRICS ◽  
2016 ◽  
Vol 137 (Supplement 3) ◽  
pp. 491A-491A
Author(s):  
Nicole I. Flores ◽  
Philippe Friedlich ◽  
Mandy Belfort ◽  
Douglas L. Vanderbilt ◽  
Roberta Williams ◽  
...  

2020 ◽  
Vol 103 (11) ◽  
pp. 1185-1193

Background: The systemic lupus erythematosus (SLE) patients oftentimes suffer from both physical and psychosocial challenges that may lead to low health-related quality of life (HRQoL). However, limited research has been done in this area. Objective: To examined mental health status and HRQoL among SLE patients in Thailand. Materials and Methods: The present study was a cross-sectional study conducted at the rheumatology clinic of four major hospitals in Thailand. The paper-based questionnaire consisted of demographic, health history such as depression, anxiety, stress Scale (DASS-21), and the Rosenberg self-esteem scale (RSE), and the disease-specific Lupus Quality of Life scale (LupusQoL). Depending on the variable’s level of measurement such as categorical or continuous, Spearman’s Rho or Pearson’s product moment correlation coefficients were used to explore the relationships among the variables. Hierarchical multiple regression was used to identify the predictors of LupusQoL. Results: Among the 387 participants, many might have experienced depression, anxiety, and stress (30%, 51%, and 29%, respectively). Self-esteem among the participants was good (31.8 out of 40). All eight domains of LupusQoL were affected with intimate relationship domain being impacted the most. The overall LupusQoL was significantly associated with the number of prescribed medications (r=–0.23), depression (r=–0.70), anxiety (r=–0.58), stress (r=–0.67), and self-esteem (r=0.59), p<0.001. Significant predictors of the overall LupusQoL were mental health status (depression, anxiety, and stress) and self-esteem, F (3, 81)=43.10, p<0.001, adjusted R²=0.60. Conclusion: SLE patients should be holistically assessed in both physical and psychological aspects. In addition to proper medical treatments, healthcare providers should use a multidisciplinary team approach to resolve the patients’ psychosocial issues, which in turn, may increase the patients’ quality of life. Self-care education may be necessary to help the patients manage the condition and decrease the number of medications. Keywords: Mental health, Quality of life, SLE, Thailand


Rheumatology ◽  
2020 ◽  
Vol 59 (Supplement_2) ◽  
Author(s):  
Andrew Smith ◽  
Bishma Saqib ◽  
Rebecca Lee ◽  
Wendy Thomson ◽  
Lis Cordingley

Abstract Background Juvenile idiopathic arthritis (JIA) is a heterogeneous group of arthritic conditions presenting in children and young people, in which physical limitations and associated complications can have detrimental effects on physical and psychosocial wellbeing. This study aims to investigate the impact of living with JIA on different aspects of health-related quality of life (HRQoL) and to explore how this changes over time, using data from the Childhood Arthritis Prospective Study (CAPS). Methods Longitudinal data collected as part of CAPS were analysed. HRQoL was assessed at baseline, 1 year and 3 years’ post-diagnosis using the Child Health Questionnaire (CHQ), a parent-completed form for children from 5 years of age. The CHQ measures physical, emotional and social components of child health status. Raw domain scores were transformed via algorithm into values ranging from 0-100, with higher scores indicating better health status. Mean (standard deviation) and median (interquartile range) for each domain were determined, both for the full cohort and by gender. Differences between median scores at baseline and 3 years were assessed using the Wilcoxon signed-rank test. Mean scores of each domain were visually compared with a reference population sample of healthy children from the United States. Results 184 participants completed the questionnaire at all 3 time points. At baseline, compared to the reference population, children with JIA scored lower in every domain although scores were closer between the 2 groups at 3 years. Median scores improved over time, the exception being the general health perceptions domain which decreased after baseline. Domains with the greatest improvement were physical functioning,“bodily pain and social-physical. The largest changes occurred from baseline to 1 year. Statistically significant differences between baseline and 3-year scores were found for all domains. Domain scores for male and female participants were very similar at baseline, though scores for male participants indicated slightly better health at 1 and 3 years for both physical and psychosocial domains. Conclusion JIA has significant impact on HRQoL, which improves within 3 years of diagnosis with the greatest improvement occurring within the first year. Physical health domains show greater improvement over time than psychosocial domains, although psychosocial scores were generally higher throughout the study. Male participants tend to score slightly higher than female participants in both physical and psychosocial domains after baseline. Further research should explore measurable patient, age or disease-related drivers of HRQoL. Disclosures A. Smith None. B. Saqib None. R. Lee None. W. Thomson None. L. Cordingley None.


2010 ◽  
Vol 156 (4) ◽  
pp. 639-644 ◽  
Author(s):  
Lisa M. Ingerski ◽  
Avani C. Modi ◽  
Korey K. Hood ◽  
Ahna L. Pai ◽  
Meg Zeller ◽  
...  

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