Status and Risk of Noncompliance of Adherence to Medications for Metabolic Diseases According to Occupational Characteristics

Kim, Heeyun; Lee, Wanhyung; Koo, Jung-Wan

doi:10.3390/jcm11123484

Cited by 3 publications

(1 citation statement)

References 18 publications

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“…In our study, manual workers had an increased risk of poor medication adherence compared with those in other occupational categories. Previous studies have shown that physical labor is associated with an increased risk of noncompliance with medication due to the relief of symptoms 27 . Our results on occupational health management insights help research and policies on making pill-taking more efficacious, providing health education, and improving verbal and nonverbal communication for the working population.…”

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confidence: 99%

Association between medication adherence to chronic diseases and shift-work schedules in the Korean working population

Lee

2022

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Shift-working schedules are closely linked to chronic diseases, and only a few studies have investigated the association between working schedules and medication adherence in chronic diseases targeting workers. This study aimed to investigate whether shift-work schedules are associated with medication adherence in a working population with chronic conditions. The study participants (n = 11,460 person-years) were identified from the Korea Health Panel Study conducted from 2008 to 2018. Medication adherence was classified as good (2+) or poor (0 or 1) based on the 4-item Morisky Medication Adherence Scale. Work schedules were categorized as shifts and fixed daytime work. Its association with medication adherence was investigated using a generalized estimating equation model, generating odds ratios (OR) with 95% confidence intervals (CI). According to work schedules, shift workers were more likely than fixed-day workers to have poor medication adherence (adjusted OR = 1.16, 95% CI: 1.02–1.33). Regarding occupational classification, manual workers had a significantly higher risk of poor medication adherence than those in other occupational categories (adjusted OR = 1.27, 95% CI: 1.13–1.43). Among shift workers, the major reason for poor medication adherence was forgetting to take medication (SPR = 1.23, 95% CI: 1.07–1.38). Workers with irregular shift times are more vulnerable to poor medication adherence. Future studies are required to understand the mechanisms underlying this association and develop strategies to enhance medication adherence in the working population.

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Section: Discussionmentioning

confidence: 99%

Association between medication adherence to chronic diseases and shift-work schedules in the Korean working population

Lee

2022

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Burden, determinants and treatment status of metabolic syndrome among older adults in India: a nationally representative, community-based cross-sectional survey

Basu,

Thirunavukarasu,

Maheshwari

et al. 2023

bmjph

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IntroductionMetabolic syndrome is a significance driver of mortality and morbidity in India, but nationally representative data regarding disease burden and treatment status are lacking. Here, a cross-sectional study was undertaken to establish national and regional estimates of disease burden and explore reasons for lack of treatment of component conditions of metabolic syndrome in Indian older adults (45 years and older).MethodsA cross-sectional study was undertaken using data from the first wave of the Longitudinal Ageing Study in India (2017–2018). Data for 66 606 individuals aged 45 years and above were analysed. The primary outcome was metabolic syndrome prevalence, defined by the National Cholesterol Education Programme ATP III criteria as an individual having any three of four component conditions: diabetes mellitus (DM), hypertension, abdominal obesity and hypercholesterolaemia. The secondary outcome of this study was treatment status of patients with component conditions.ResultsMetabolic syndrome was found to have an overall weighted prevalence of 4.83% (n=3630, 95% CI 4.24 to 5.51). Females, urban residents, obese individuals and physically inactive people exhibited greater prevalence. The most prevalent component of metabolic syndrome was hypertension followed by abdominal obesity, DM and hypercholesterolaemia. 8.85% metabolic syndrome patient reported no treatment for component conditions, while 17.58% reported only partial treatment. Elderly individuals between 60 and 69 (crude relative risk ratios, cRRR 2.20, 95% CI 1.20 to 4.01) and 80 years and above (cRRR 7.48, 95% CI 1.99 to 28.16), urban residents (cRRR 2.45, 95% CI 1.48 to 4.05), those from richer monthly per capita consumption expenditure quintiles (cRRR 2.55, 95% CI 1.00 to 6.47) and those with additional comorbidities (cRRR 2.17, 95% CI 1.28 to 3.70) were more likely to report comprehensive treatment.ConclusionsThis study highlights a substantial prevalence of metabolic syndrome in older adults in India and reveals remarkable disparities in provision of treatment. Better prevention, earlier detection and improved provision of treatment are urgently required to combat the rising prevalence of metabolic syndrome and reduce the burden of cardiovascular disease in India.

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Effectiveness of Cognitive Emotion Regulation on Sleep quality, Alexithymia and Medication Adherence of Coronary Artery Patients

Zeinalpour

Dioulag²

2022

JHC

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Background & aim: Sleep quality, alexithymia, and non-medication adherence are among the factors that contribute to the risk of developing or worsening coronary artery disease. Therefore, the aim of this study was to determine the effectiveness of cognitive emotion regulation on sleep quality, alexithymia and medication adherence of coronary artery patients. Methods: The quasi-experimental research design was pretest-posttest and follow-up with the control group. The statistical population of this study included all patients with coronary heart disease who referred to the specialized heart hospital in Urmia in 2022 who had referred to this center for medical services. The sample size consisted of 40 people from the mentioned community who were selected by available sampling method and randomly placed in two experimental and control groups. For the experimental group, cognitive emotion regulation intervention was implemented in 8 sessions of 50 minutes during four weeks, while the control group did not receive any training. The research instruments included the Pittsburgh Sleep Quality Inventory (1989), The Toronto Alexithymia Scale (1994) and the Morisky Medication Adherence Scale-8 (2008). The collected data were analyzed using the analysis of variance test with repeated measurements. Results:The results of the analysis of variance with repeated measurements showed that the intervention of cognitive regulation of emotion significantly improved sleep quality (F=76.551, p<0.01), difficulty in recognizing emotions (F=44.102, p<0.01), difficulty in describing feelings (F=30.514, p<0.01), externally oriented thinking (F=31.981, p<0.01) and non-medication adherence (F=43.136, p<0.01) in the sample It has been effective in cardiovascular patients. Conclusion:The results showed that the above emotional cognitive intervention has significantly improved the quality of sleep, ataxia, and adherence to treatment in the studied subjects, so the use of this intervention is suggested for cardiovascular patients.

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Status and Risk of Noncompliance of Adherence to Medications for Metabolic Diseases According to Occupational Characteristics

Cited by 3 publications

References 18 publications

Association between medication adherence to chronic diseases and shift-work schedules in the Korean working population

Association between medication adherence to chronic diseases and shift-work schedules in the Korean working population

Burden, determinants and treatment status of metabolic syndrome among older adults in India: a nationally representative, community-based cross-sectional survey

Effectiveness of Cognitive Emotion Regulation on Sleep quality, Alexithymia and Medication Adherence of Coronary Artery Patients

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