ABSTRACT
BACKGROUND: Quality of life (QOL) is a good indicator of lifespan, especially for individuals who are suffering from a particular illness. QOL among patients with diabetes mellitus (DM) could be used for further implementations in addition to improving patient care and disease management, especially during the coronavirus disease 2019 (COVID-19) pandemic. This study aimed to assess QOL and identify factors associated with a good QOL among DM patients in northern Thailand. METHODS: A cross-sectional study was conducted to gather information from DM patients attending six randomly selected hospitals in the Chiang Rai province, northern Thailand. A validated questionnaire and the 26-item quality of life brief version (WHOQOL-BREF) were used to collect socioeconomic factors and assess QOL, respectively. Chi-square tests and logistic regression were used to detect the associations between variables at a significance level of α = 0.05. RESULTS: A total of 967 participants were enrolled in the study: 58.8% were female, 52.3% were aged ≥ 60 years, 79.7% graduated primary school and had no additional education, 68.7% had an annual income ≤ 50,000 baht, and 29.3% were unemployed. The majority of patients had a poor-to-moderate overall QOL (49.4%); 90.1% reported a moderate QOL in the physical domain, 54.7% reported a moderate QOL in the mental domain, 63.4% reported a good QOL in the social relationship domain, and 50.6% reported a good QOL in the environmental domain. In multivariate analysis, seven variables were found to be associated with good QOL among the participants. Those aged ≤ 59 years had 1.90 times (95% CI 1.32-2.73) greater odds of having good QOL than those aged ≥ 60. Those who had annual income ≥ 100,001 baht had 2.16 times (95% CI 1.17-3.96) greater odds of having good QOL than those who had annual income ≤ 50,000 baht. Those who lived alone and with spouses had 3.38 times (95% CI 1.42-8.02) and 2.20 times (95% CI 1.20-4.02) greater odds of having good QOL, respectively, than those who lived with relatives. Those who exercised regularly had 4.72 times (95% CI 2.71-8.19) greater odds of having good QOL than those who never exercised. Those who had a high level of knowledge regarding prevention and care had 3.26 times (95% CI 1.22-5.55) greater odds of having good QOL than those who had low knowledge. Those who did not have diabetic nephropathy had 7.41 times (95% CI 4.99-11.01) greater odds of having good QOL than those who were diagnosed with diabetic nephropathy, and those whose medical fees were supported by the government under the universal scheme had 4.31 times (95% CI 1.15-16.7) greater odds of having good QOL than those who had to support themselves. CONCLUSIONS: Almost a half of DM patients in northern Thailand reported having a low-to-moderate QOL, which can be improved by focusing on socioeconomic factors, family support as well as improving knowledge regarding DM prevention and care, including the support of medical fees.
Subject(s)
COVID-19 , Diabetes Mellitus , Diabetic Nephropathies , Cross-Sectional Studies , Diabetes Mellitus/epidemiology , Female , Humans , Male , Quality of Life , Surveys and Questionnaires , Thailand/epidemiologyABSTRACT
BACKGROUND: Suboptimal glycemic control among patients with type 2 diabetes mellitus (DM) is a significant public health problem, particularly among people living with poor education and economic statuses, including those with a unique dietary culture. This study aimed to estimate the prevalence and identify the factors associated with suboptimal glycemic control among patients with type 2 DM during the coronavirus disease-2019 (COVID-19) pandemic. METHODS: A hospital-based cross-sectional study was used to elicit information from DM patients attending six hospitals located in Chiang Rai Province, northern Thailand, between February and May 2021. A validated questionnaire and 5 mL blood specimens were used as the research tools. Glycated hemoglobin (HbA1c) greater than 7.0% among DM patients at least two years after diagnosis was defined as suboptimal glycemic control. Chi-square tests and logistic regression were used to identify the associations between variables at the significance level α = 0.05. RESULTS: A total of 967 patients were recruited for this study; 54.8% 530 had suboptimal glycemic control, 58.8% were female, 66.5% were aged 50-69 years, and 78.5% were married (78.5%). Six variables were found to be associated with suboptimal glycemic control in multivariable logistic regression. Participants aged <49, 50-59, and 60-69 years had 3.32 times (95% CI = 1.99-5.53), 2.61 times (95% CI = 1.67-4.08), and 1.93 times (95% CI = 1.26-2.95) greater odds of having suboptimal glycemic control, respectively, than those aged ≥70 years. Married individuals had 1.64 times (95% CI = 1.11-2.41) greater odds of having suboptimal glycemic control than those ever married. Participants who consumed sticky rice had 1.61 times (95% CI = 1.19-2.61) greater odds of having suboptimal glycemic control than those who did not consume sticky rice in daily life. Participants who had been diagnosed with DM for 11-20 years and ≥21 years had 1.98 times (95% CI = 1.37-2.86) and 2.46 times (1.50-4.04) greater odds of having suboptimal glycemic control, respectively, than those who had been diagnosed ≤ 10 years. Participants who had experienced forgetting to take their medication had 2.10 times (95% CI = 1.43-3.09) greater odds of having suboptimal glycemic control than those who did not, and those who had their medical expenses covered by the national scheme had 2.67 times (95% CI = 1.00-7.08) greater odds of suboptimal glycemic control than those who self-paid. CONCLUSION: Effective health interventions to control blood glucose among DM patients during ongoing treatment are urgently required. The interventions should focus on patients aged less than 69 years, marital status, forgetting to take their medication, and a longer time since diagnosis, including reducing their sticky rice consumption. The effects of copayments should also be considered.