Impact of type 2 diabetes mellitus on quality of life in people with diabetespresenting to a specialist diabetes clinic

Younis, Bilal Bin; Arshad, Rozina; Yousuf, Haroon; Salman, Fatima; Masood, Junaid; Khurshid, Saima

doi:10.3906/sag-1508-3

Cited by 7 publications

(8 citation statements)

References 14 publications

(16 reference statements)

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“…This finding is also higher than that observed in other groups of people in the country. For example, the prevalence of depression was 16.9% amongst the diabetics reporting to a specialist diabetes center [ 17 ], 31.8% amongst pregnant women in Lahore [ 18 ], and 34% in the general Pakistani population [ 8 ]—all lower than the prevalence in this study. However, the percentage is lower than that found amongst medical and surgical patients admitted in a tertiary care hospital in Karachi (51.2%), which also used the PHQ-9 [ 19 ].…”

Section: Discussioncontrasting

confidence: 58%

Prevalence and Predictors of Depression Amongst Hypertensive Individuals in Karachi, Pakistan

Mahmood

Hassan

Tabraze

et al. 2017

Cureus

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ObjectiveWhile studies evaluating the prevalence of depression and hypertension have been extensively carried out in high income countries, there is a paucity of information assessing the prevalence of depression within hypertensive patients in low income nations. The primary objective of this study was to investigate the prevalence of undiagnosed depression in hypertensive patients within a tertiary care facility in Karachi, Pakistan. The secondary objective was to assess factors associated with undiagnosed depression in this group.MethodsA cross-sectional study was conducted at the Civil Hospital Karachi Outpatient Department from January 2017 to April 2017. The sample population was composed of 411 hypertensive patients. Interviews were conducted after taking informed consent, with data concerning basic demographic details and lifestyle habits gathered. Blood pressure was recorded and its severity was classified as per the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure (JNC-7) guidelines. Depression was evaluated and its severity classified as per the Patient Health Questionnaire-9 (PHQ-9) scale, with a score of 10 or above set as the cut-off point. Data were entered and analyzed using the IBM Statistical Package for the Social Sciences 23.0. (IBM, NY, USA)ResultsThe prevalence of depression within 411 hypertensive patients was 40.1% (n = 165). The mean age of the sample was 45.7 ± 11.2 years, and the majority were females (72%, n = 295), unemployed (72%, n = 296), had primary or no education (67%, n = 277), and were of low socioeconomic status (78%, n = 321). The average systolic and diastolic blood pressures were 143.8 ± 21.7 and 93.3 ± 15.5 mm Hg, respectively. Factors which had a significant association with depression were gender (p = 0.009), age class (p = 0.035), educational status (p = 0.000), employment status (p = 0.003), socioeconomic status (p = 0.008), physical activity (p = 0.025), smoking (p = 0.017), and family history of hypertension (p = 0.022).ConclusionWith such a high prevalence rate of undiagnosed depression within hypertensive patients, it is pertinent to establish screening programs for early detection and community programs to raise awareness regarding long-term complications of untreated depression.

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Section: Discussioncontrasting

confidence: 58%

Prevalence and Predictors of Depression Amongst Hypertensive Individuals in Karachi, Pakistan

Mahmood

Hassan

Tabraze

et al. 2017

Cureus

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“…Similar to previous studies, socio-economic factors are important components of the quality of life since they strongly affect the functional capacity of a person to live independently [11]. In terms of chronic diseases, this is due to the cost of living with chronic disease and the extra financial burden that translates to worsening emotional health [69]. Chronic illness poses catastrophic socio-economic effects on the individual and their households.…”

Section: Quality Of Life Domainsmentioning

confidence: 57%

“…Among hemodialysis patients, the physical health dimension is strongly associated with morbidity and mortality [69]. The low physical health scores demonstrate that daily activities were disturbed in hemodialysis patients as they were more dependent on renal replacement treatment for their survival.…”

Section: Quality Of Life Domainsmentioning

confidence: 99%

A Review of the Quality of Life of Hemodialysis, Breast Cancer, and Type 2 Diabetes Mellitus Patients

Arceo

Dizon

Salunga

et al. 2020

SN Compr. Clin. Med.

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Chronic diseases affect the overall quality of life of patients as it negatively impacts different areas in life. The review assessed and qualitatively compared the quality of life (QoL) of patients suffering from three chronic diseases namely patients undergoing hemodialysis, patients with type 2 diabetes mellitus, and patients with breast cancer. Qualitative assessment of previous studies using the Ferrans and Powers quality of life index was conducted. Nineteen (19) full texts were included and comprehensively analyzed. Statistically significant lower scores were noted on the health/functioning and socioeconomic domains of patients undergoing hemodialysis and no significant difference in other areas on the quality of life. There was also no significant difference in the overall scores among the three chronic diseases under study. But while the overall QoL of patients are within the same range, results suggest that hemodialysis patients experience the greatest negative impact in terms of socioeconomic and health/functioning domains in the QoL. Thus, health interventions, educational programs, and policy formulations should focus on improving these aspects. This would also call for a multidisciplinary approach to address the issues related to the quality of life of hemodialysis patients. Keywords Quality of life. Chronic disease. Type 2 diabetes mellitus. Breast cancer. Hemodialysis patients This article is part of the Topical Collection on Medicine

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“…Several methods have been developed to assess therapeutic adherence. The self-report scale is generally used to assess adherence to the use of antidiabetic and antihypertensive drugs, and many have been modified for use in Indonesia [44][45][46]. The medication adherence rating scale (MARS) method is one of the methods of measuring adherence with tested validity and reliability and may be used in research in primary health facilities.…”

Section: Research Articlementioning

confidence: 99%

“…Adherence to treatment regimens is generally defined more broadly to describe how patients use prescription drugs. The word adherence is much preferred by many health workers because the word compliance giving the impression that the patient follows the doctor's instructions passively and the treatment plan is determined unilaterally by the doctor [41][42][43][44]. Dulmen et al [4] defined medication adherence as a level of behavior in which patients use drugs and adhere to all the rules and advice recommended by health workers.…”

Section: Patients' Medication Adherence and Qolmentioning

confidence: 99%

Normal Fasting Blood Sugar Levels and Medication Adherence Improve the Quality of Life of Type 2 Diabetes Mellitus Patients in Primary Health Facilities

Hidayati

Fatimah

Iskandar

2018

Asian J Pharm Clin Res

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Objective: The aim of the overall study was to determine the quality of life (QOL) and the factors that influence it in patients with diabetes mellitus (DM) in primary health care (PHC) Jetis 1, Bantul.Methods: This cross-sectional study was conducted on 153 DM patients in PHC Jetis I, Bantul. Respondents were recruited by inclusion and exclusion criteria. Primary data on exposure to cigarette smoke, adherence with physical activity, perception of disease, and QOL are collected through interviews. Data were analyzed by a mean test for ratio scale data and Chi-square test.Results: The results showed that the QOL and the level of adherence of DM patients in Puskesmas Jetis I were classified as very good. Male patients, elementary school graduates, normal body mass index (BMI), normal fasting blood sugar levels, adherent DM medication, and positive disease perception have a greater chance of having a better QOL. The mean of the random blood sugar and the fasting blood sugar levels exceeded the normal values, with 261.70 ± 121.15 mg/dl and 167.43 ± 10.23, respectively.Conclusion: The QOL of DM patients in I Jetis PHC is very good. Men, normal BMI, adherent with medication therapy, and normal fasting sugar levels are associated with an increase in QOL.

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Impact of type 2 diabetes mellitus on quality of life in people with diabetespresenting to a specialist diabetes clinic

Cited by 7 publications

References 14 publications

Prevalence and Predictors of Depression Amongst Hypertensive Individuals in Karachi, Pakistan

Prevalence and Predictors of Depression Amongst Hypertensive Individuals in Karachi, Pakistan

A Review of the Quality of Life of Hemodialysis, Breast Cancer, and Type 2 Diabetes Mellitus Patients

Normal Fasting Blood Sugar Levels and Medication Adherence Improve the Quality of Life of Type 2 Diabetes Mellitus Patients in Primary Health Facilities

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