Determinants of depression in women with chronic disease: Evidence from a sample of poor loan takers from Pakistan

Jafree, Sara Rizvi

doi:10.1002/jcop.22399

Cited by 8 publications

(5 citation statements)

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“…This may be because women have less social support and face more stigma in Pakistani society when they suffer from a chronic disease [ 52 ]. Furthermore, women may also have more fears and anxiety when facing chronic disease burden due to their inability to continue care and nurturing for family, children, and other dependents [ 53 ].…”

Section: Discussionmentioning

confidence: 99%

Mental health and quality of life in patients with chronic liver disease: a single-center structural equation model

Jafree,

Naveed,

Ahsan

et al. 2024

BMC Gastroenterol

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Background Chronic liver disease (CLD) is one of the leading disease burdens in Pakistan. Until now, there has only been limited focus in the country on providing health services through tertiary services in urban cities, whereas there is almost no research in Pakistan on the mental health and quality of life of CLD patients. This study aimed to understand which predictors influence the mental health and quality of life of CLD patients in order to advise better policy protection. Methods Data was collected from CLD patients at the Pakistan Kidney and Liver Institute and Research Centre, Lahore, Pakistan. A total of 850 respondents were part of the final sample. The age of respondents ranged from 18 to 79 years and included the following diagnosis: (i) Chronic Viral Hepatitis (n = 271), (ii) Cirrhosis (n = 259), (iii) Hepatocellular Carcinoma (n = 193), and (iv) Non-viral Liver Disease (n = 127). Results Mean results reveal that females as well as illiterate patients need more support for mental health and communication with their physician; whereas men need more support to develop coping strategies. Structural equation modelling results reveal that the severity of symptoms (β = 0.24, p < 0.001), coping strategies (β=-0.51, p < 0.001), and doctor communication (β=-0.35, p < 0.001) predict mental health. Quality of life is associated with the severity of symptoms (β=-0.36, p < 0.001), coping strategies (β = 0.26, p < 0.05), and doctor communication (β = 0.09, p < 0.05). Conclusions A ‘bio-psycho-social-spiritual’ model is recommended for Pakistan’s CLD patients which includes the integration of social officers to provide support in four key areas to secure mental health and quality of life of patients.

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Section: Discussionmentioning

confidence: 99%

Mental health and quality of life in patients with chronic liver disease: a single-center structural equation model

Jafree,

Naveed,

Ahsan

et al. 2024

BMC Gastroenterol

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“…Furthermore, women may also have more fears and anxiety when facing chronic disease burden due to their inability to continue care and nurturing for family, children, and other dependents [50].…”

Section: Discussionmentioning

confidence: 99%

Mental Health and Quality of Life in Patients with Chronic Liver Disease: A Single-Center Structural Equation Model

Jafree

Naveed

Ahsan

et al. 2023

Preprint

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Background Chronic liver disease (CLD) is one of the leading disease burdens in Pakistan. Until now, there has only been limited focus in the country on providing health services through tertiary services in urban cities, whereas there is almost no research in Pakistan on the mental health and quality of life of CLD patients. This study aimed to understand which predictors influence the mental health and quality of life of CLD patients in order to advise better policy protection. Methods Data was collected from CLD patients at the Pakistan Kidney and Liver Institute and Research Centre, Lahore, Pakistan. A total of 850 respondents were part of the final sample. Results Mean results reveal that female as well as illiterate patients need more support for mental health and communication with their physician; whereas men need more support to develop coping strategies. Structural equation modelling results reveal that the severity of symptoms (β = 0.24, p < 0.001), coping strategies (β=-0.51, p < 0.001), and doctor communication (β=-0.35, p < 0.001) predict mental health. Quality of life is associated with the severity of symptoms (β=-0.36, p < 0.001), coping strategies (β = 0.26, p < 0.05), and doctor communication (β = 0.09, p < 0.05). Conclusions A ‘bio-psycho-social-spiritual’ model is recommended for Pakistan’s CLD patients which includes the integration of social officers to provide support in four key areas to secure mental health and quality of life of patients.

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“…Regarding health service quality, some scholars believed that it was directly related to disease hazards. For example, Jafree ( 16 ) applied bivariate regression analysis and found that when health service was insufficient or dissatisfied, patients would face greater depression. Arabyat and Raisch ( 17 ) described that the health service quality of diagnosis and assessment by healthcare providers was an important part of the care of patients with chronic obstructive pulmonary disease, and contributed to improving functioning and overall health-related quality of life.…”

Section: Literature Reviewmentioning

confidence: 99%

The association between chronic disease and depression in middle-aged and elderly people: The moderating effect of health insurance and health service quality

Min

Guo

et al. 2023

Front. Public Health

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BackgroundDepression in chronic disease patients was an important public health problem. However, limited work has been done on how to alleviate the depression of chronic disease patients. This paper attempted to explore the alleviating effect of health insurance and health service quality.MethodsA total of 11,500 middle-aged and elderly people were drawn from four waves (2011, 2013, 2015, and 2018) of the China Health and Retirement Longitudinal Study (CHARLS). We analyzed the effect of chronic disease on depression in middle-aged and elderly people in China, and explored the mechanism of action from health insurance and health service quality.ResultsAfter adjusting for sociodemographic factors, any chronic disease (coefficient 1.471, p < 0.01) and multiple chronic diseases (coefficient 1.733, p < 0.01) could significantly increase the depression score. Any chronic disease increased the depression score (165.3 and 147.4% in non-health insurance group and health insurance group, respectively), the multiple chronic diseases increased the depression score (190.6 and 173.5% in non-health insurance group and health insurance group, respectively). Any chronic disease increased the depression score (161.3 and 139.5% in lower health service quality group and higher health service quality group, respectively), the multiple chronic diseases increased the depression score (228.4 and 162.9% in lower health service quality group and higher health service quality group, respectively). And similar results were obtained after using depression status instead of depression score.ConclusionsChronic disease and multiple chronic diseases were important determinants of depression in middle-aged and elderly people. Health insurance and health service quality were the key factors in relieving the depression of chronic disease patients. Several strategies were urgently needed: paying attention to the mental health of chronic disease patients, increasing the participation rate of health insurance, further improving the quality of health service, and alleviating the psychological harm caused by chronic disease.

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Determinants of depression in women with chronic disease: Evidence from a sample of poor loan takers from Pakistan

Cited by 8 publications

References 58 publications

Mental health and quality of life in patients with chronic liver disease: a single-center structural equation model

Mental health and quality of life in patients with chronic liver disease: a single-center structural equation model

Mental Health and Quality of Life in Patients with Chronic Liver Disease: A Single-Center Structural Equation Model

The association between chronic disease and depression in middle-aged and elderly people: The moderating effect of health insurance and health service quality

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