Jonsson, B. The economic impact of diabetes. Diabetes Care 21, C7–C10 (1998).
Ong, K. L. et al. Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence to 2050: A systematic analysis for the global burden of disease study 2021. The Lancet 402, 203–234 (2023).
Lin, X. et al. Global, regional, and national burden and trend of diabetes in 195 countries and territories: An analysis from 1990 to 2025. Sci. Rep. 10, 14790 (2020).
Pandey, S. & Sharma, V. World diabetes day 2018: Battling the emerging epidemic of diabetic retinopathy. Indian J. Ophthalmol. 66, 1652 (2018).
Pradeepa, R., Deepa, R. & Mohan, V. Epidemiology of diabetes in India–current perspective and future projections. J. Indian Med. Assoc. 100, 144–148 (2002).
Oberoi, S. & Kansra, P. Economic menace of diabetes in India: A systematic review. Int. J. Diabetes Dev. Ctries 40, 464–475 (2020).
Moeineslam, M. et al. Diabetes in women and health-related quality of life in the whole family: A structural equation modeling. Health Qual. Life Outcomes 17, 178 (2019).
Alhaik, S., Anshasi, H. A., Alkhawaldeh, J., Soh, K. L. & Naji, A. M. An assessment of self-care knowledge among patients with diabetes mellitus. Diabetes Metab. Syndr.: Clin. Res. Rev. 13, 390–394 (2019).
Mendenhall, E., Narayanan, G. & Prabhakaran, D. Depression and diabetes in India: Perspectives and recommendations: Depression and diabetes in India. Diabetic Med. 29, e308–e311 (2012).
Banker, K. K. et al. The impact of diabetes on productivity in India. Diabetes Care 44, 2714–2722 (2021).
Bansode, B. & Jungari, D. S. Economic burden of diabetic patients in India: A review. Diabetes Metab. Syndr.: Clin. Res. Rev. 13, 2469–2472 (2019).
Drivsholm, T., De Fine Olivarius, N., Nielsen, A. B. S. & Siersma, V. Symptoms, signs and complications in newly diagnosed type 2 diabetic patients, and their relationship to glycaemia, blood pressure and weight. Diabetologia 48, 210–214 (2005).
Deshpande, A. D., Harris-Hayes, M. & Schootman, M. Epidemiology of diabetes and diabetes-related complications. Phys. Ther. 88, 1254–1264 (2008).
Tuncay, F. Ö. & Avcı, D. Association between self-care management and life satisfaction in patients with diabetes mellitus. Eur. J. Integr. Med. 35, 101099 (2020).
Hoothay, F., DeStefano, A., Leary, E. & Foley-Hartel, T. Life satisfaction and coping of diabetic hemodialysis patients. ANNA J 17, 361–364 (1990).
Priya, M. A study on life satisfaction level among persons with diabetes IOSR-J. Humanit. Soc. Sci. 3, 51–55 (2017).
Hall, A. Life satisfaction, concept of. In Encyclopedia of Quality of Life and Well-Being Research (ed. Michalos, A. C.) 3599–3601 (Springer, Netherlands, 2014). https://doi.org/10.1007/978-94-007-0753-5_1649.
Mauricio, D. Quality of life and treatment satisfaction are highly relevant patient-reported outcomes in type 2 diabetes mellitus. Ann. Transl. Med 6, 220–220 (2018).
Lee, L., Hsieh, C. & Lin, Y. Life satisfaction and emotional distress in people living with type 2 diabetes mellitus: The mediating effect of cognitive function. J. Clin. Nurs. 30, 2673–2682 (2021).
Charzyńska, E., Kocur, D., Działach, S. & Brenner, R. E. Testing the indirect effect of type 1 diabetes on life satisfaction through self-compassion and self-coldness. Mindfulness 11, 2486–2493 (2020).
Baumann, M., Tchicaya, A., Lorentz, N. & Le Bihan, E. Life satisfaction and longitudinal changes in physical activity, diabetes and obesity among patients with cardiovascular diseases. BMC Public Health 17, 925 (2017).
Dubey, A. & Agarwal, A. Coping strategies and life satisfaction: Chronically ill patients’ perspectives. J. Ind. Acad. Appl. Psychol. 33, 161–168 (2007).
Okwaraji, F. E., Onyebueke, G. C., Nduanya, C. U. & Nwokpoku, E. N. Life satisfaction, self esteem and mental health in a sample of diabetic out-patients attending a Nigerian tertiary health institution. J. Med. Res. 3, 60–65 (2017).
Koivumaa-Honkanen, H. Self-reported life satisfaction and 20-year mortality in healthy finnish adults. Am. J. Epidemiol. 152, 983–991 (2000).
Rosella, L. C., Fu, L., Buajitti, E. & Goel, V. Death and chronic disease risk associated with poor life satisfaction: A population-based cohort study. Am. J. Epidemiol. 188, 323–331 (2019).
Guven, C. & Saloumidis, R. Life satisfaction and longevity: Longitudinal evidence from the German socio-economic panel. German Econ. Rev. 15, 453–472 (2014).
Kimm, H., Sull, J. W., Gombojav, B., Yi, S.-W. & Ohrr, H. Life satisfaction and mortality in elderly people: The Kangwha cohort study. BMC Public Health 12, 54 (2012).
Xu, J. & Roberts, R. E. The power of positive emotions: It’s a matter of life or death—Subjective well-being and longevity over 28 years in a general population. Health Psychol. 29, 9–19 (2010).
Melin, R., Fugl-Meyer, K. S. & Fugl-Meyer, A. R. Life satisfaction in 18- to 64-year-old Swedes: In relation to education, employment situation, health and physical activity. J. Rehabil. Med. 35, 84–90 (2003).
Nakamura, J. S., Delaney, S. W., Diener, E., VanderWeele, T. J. & Kim, E. S. Are all domains of life satisfaction equal? Differential associations with health and well-being in older adults. Qual. Life Res. 31, 1043–1056 (2022).
Imayama, I., Plotnikoff, R. C., Courneya, K. S. & Johnson, J. A. Determinants of quality of life in adults with type 1 and type 2 diabetes. Health Qual. Life Outcomes 9, 115 (2011).
Baker, E. H. Socioeconomic status, definition. In The wiley blackwell encyclopedia of health, illness, behavior, and society (eds Cockerham, W. C. et al.) 2210–2214 (Wiley, Chichester, 2014).
Bollen, K. A. & Bauldry, S. Three Cs in measurement models: Causal indicators, composite indicators, and covariates. Psychol. Methods 16, 265–284 (2011).
Ramesh Masthi, N. & Kulkarni, P. An exploratory study on socio economic status scales in a rural and urban setting. J. Family Med. Prim. Care 2, 69 (2013).
Bhatnagar, N., Dudeja, P., Bahuguna, P. & Singh, A. Refining a socio-economic status scale for use in community-based health research in India. J. Postgrad. Med. 61, 77 (2015).
Wang, R., Zhang, T. & Langhammer, B. Activities of daily living and life satisfaction of persons with stroke after rehabilitation in China: A longitudinal descriptive study. Top. Stroke Rehabi. 26, 113–121 (2019).
Ekstrand, E., Lexell, J. & Brogårdh, C. Test-retest reliability of the life satisfaction questionnaire (LiSat-11) and association between items in individuals with chronic stroke. J. Rehabil. Med. 50, 713–718 (2018).
Hashim, H. M., Abd Allah, E. S. & Ali El-Zeiny, H. H. Thantophobia, spirituality and life satisfaction among community dwelling elderly. Zagazig Nurs. J. 17, 85–99 (2021).
Kroenke, K., Spitzer, R. L. & Williams, J. B. W. The PHQ-9: Validity of a brief depression severity measure. J. Gen. Intern. Med. 16, 606–613 (2001).
Wolfgram, P., Zhang, L., Simpson, P. & Fiallo-Scharer, R. Clinical associations of quarterly patient health questionnaire-9 depression screening results in adolescents with type 1 diabetes. Pediatr. Diabetes 21, 871–877 (2020).
Nouwen, A. et al. Measurement invariance testing of the patient health questionnaire-9 (PHQ-9) across people with and without diabetes mellitus from the NHANES, EMHS and UK Biobank datasets. J. Affect. Disord. 292, 311–318 (2021).
Le Dinh, T. et al. The relationship between depression and multifactorial control and microvascular complications in vietnamese with Type 2 diabetes mellitus aged 30–60 years. DMSO 15, 1185–1195 (2022).
Cichoń, E. et al. People with diabetes need a lower cut-off than others for depression screening with PHQ-9. PLoS ONE 15, e0240209 (2020).
Udedi, M., Muula, A. S., Stewart, R. C. & Pence, B. W. The validity of the patient health Questionnaire-9 to screen for depression in patients with type-2 diabetes mellitus in non-communicable diseases clinics in Malawi. BMC Psychiatry 19, 81 (2019).
Reddy, P., Philpot, B., Ford, D. & Dunbar, J. A. Identification of depression in diabetes: The efficacy of PHQ-9 and HADS-D. Br J. Gen. Pract. 60, e239–e245 (2010).
Ramachandran, A. Know the signs and symptoms of diabetes. Indian J. Med. Res. 140, 579–581 (2014).
Cloete, L. Diabetes mellitus: An overview of the types, symptoms, complications and management. Nurs. Stand. 37, 61–66 (2022).
Ellenberg, M. Diabetic complications without manifest diabetes: Complications as presenting clinical symptoms. JAMA 183, 926–930 (1963).
WHO. Diabetes. https://www.who.int/news-room/fact-sheets/detail/diabetes (2023).
Kim, J., Lee, M. & Dan, H. Gender differences in factors affecting life satisfaction of the elderly with multimorbidity in Korea. Nurs. Rep. 11, 54–63 (2021).
Gigantesco, A. et al. The relationship between satisfaction with life and depression symptoms by gender. Front. Psychiatry 10, 419 (2019).
Ramachandran, A. & Snehalatha, C. Current scenario of diabetes in India: Diabetes in India. J. Diabetes 1, 18–28 (2009).
Corsi, D. J. & Subramanian, S. V. Association between socioeconomic status and self-reported diabetes in India: A cross-sectional multilevel analysis. BMJ Open 2, e000895 (2012).
Robbins, J. M., Vaccarino, V., Zhang, H. & Kasl, S. V. Socioeconomic status and diagnosed diabetes incidence. Diabetes Res. Clin. Pract. 68, 230–236 (2005).
Seiglie, J. A. et al. Diabetes prevalence and its relationship with education, wealth, and BMI in 29 low- and middle-income countries. Diabetes Care 43, 767–775 (2020).
Mathisen, J. et al. Education and incident type 2 diabetes: quantifying the impact of differential exposure and susceptibility to being overweight or obese. Diabetologia 63, 1764–1774 (2020).
Brown, A. F. et al. Socioeconomic position and health among persons with diabetes mellitus: A conceptual framework and review of the literature. Epidemiol. Rev. 26, 63–77 (2004).
Agardh, E., Allebeck, P., Hallqvist, J., Moradi, T. & Sidorchuk, A. Type 2 diabetes incidence and socio-economic position: A systematic review and meta-analysis. Int. J. Epidemiol. 40, 804–818 (2011).
Williams, J. et al. A systematic review of associations between non-communicable diseases and socioeconomic status within low- and lower-middle-income countries. J. Global Health 8, 020409 (2018).
Corsi, D. J. & Subramanian, S. V. Socioeconomic gradients and distribution of diabetes, hypertension, and obesity in India. JAMA Netw. Open 2, e190411 (2019).
Shrivastava, U., Misra, A., Gupta, R. & Viswanathan, V. Socioeconomic factors relating to diabetes and its management in India: 印度与糖尿病及其治疗相关的社会经济因素. J. Diabetes 8, 12–23 (2016).
Daraei, M. & Mohajery, A. The impact of socioeconomic status on life satisfaction. Soc. Indic. Res. 112, 69–81 (2013).
Mirmoghtadaee, P. et al. The association of socioeconomic status of family and living region with self-rated health and life satisfaction in children and adolescents: The CASPIAN-IV study. Med. J. Islam Repub. Iran 30, 423 (2016).
Rajabi Gilan, N., Khezeli, M. & Zardoshtian, S. The effect of self-rated health, subjective socioeconomic status, social capital, and physical activity on life satisfaction: A cross-sectional study in urban western Iran. BMC Public Health 21, 233 (2021).
Hsieh, C. Counting importance: The case of life satisfaction and relative domain importance. Soc. Indic. Res. 61, 227–240 (2003).
Rubin, R. R. & Peyrot, M. Quality of life and diabetes. Diabetes/Metab. Res. Rev. 15, 205–218 (1999).
Castillo-Carniglia, Á., Albala, C., Dangour, A. D. & Uauy, R. Factores asociados a satisfacción vital en una cohorte de adultos mayores de Santiago. Chile. Gaceta Sanitaria 26, 414–420 (2012).
Clark, N. G., Fox, K. M., Grandy, S., for the SHIELD Study Group. Symptoms of diabetes and their association with the risk and presence of diabetes. Diabetes Care 30, 2868–2873 (2007).
Millett, C., Saxena, S., Ng, A., Mainous, A. & Majeed, A. Socio-economic status, ethnicity and diabetes management: An analysis of time trends using the health survey for England. J. Public Health 29, 413–419 (2007).
Osborn, C. Y., Groot, M. D. & Wagner, J. A. Racial and ethnic disparities in diabetes complications in the Northeastern United States: The role of socioeconomic status. J. Natl. Med. Assoc. 105, 51–58 (2013).
Gulliford, M. C. & Mahabir, D. Relationship of health-related quality of life to symptom severity in diabetes mellitus. J. Clin. Epidemiol. 52, 773–780 (1999).
Leone, T., Coast, E., Narayanan, S. & De Graft Aikins, A. Diabetes and depression comorbidity and socio-economic status in low and middle income countries (LMICs): a mapping of the evidence. Global Health 8, 39 (2012).
Everson, S. A., Maty, S. C., Lynch, J. W. & Kaplan, G. A. Epidemiologic evidence for the relation between socioeconomic status and depression, obesity, and diabetes. J. Psychosom. Res. 53, 891–895 (2002).
Tekir, O. The effect of diabetes symptoms on quality of life in individuals with Type 2 diabetes. Acta Endo. (Buc) 17, 186–193 (2021).
Kim, J.-H. & Lee, Y.-J. A study of andropause symptoms and life satisfaction among middle-aged men. J. Korean Acad. Commun. Health Nurs. 16(2), 186–195 (2005).
Holt, R. I. G., De Groot, M. & Golden, S. H. Diabetes and depression. Curr. Diab. Rep. 14, 491 (2014).
Grootenhuis, P. A., Snoek, F. J., Heine, R. J. & Bouter, L. M. Development of a Type 2 diabetes symptom checklist: A measure of symptom severity. Diabetic Med. 11, 253–261 (1994).
Katon, W. J. The comorbidity of diabetes mellitus and depression. Am. J. Med. 121, S8–S15 (2008).
Onwuegbuzie, A. & Collins, K. A typology of mixed methods sampling designs in social science research. TQR https://doi.org/10.46743/2160-3715/2007.1638 (2015).
Government of India. Census – 2011. https://censusindia.gov.in/2011-Common/Archive.html (2011).
WHO. STEPwise approach to NCD risk factor surveillance (STEPS). https://www.who.int/teams/noncommunicable-diseases/surveillance/systems-tools/steps.
Ringle, C. M., Wende, S. & Becker, J.-M. SmartPLS 4. SmartPLS (2022).
Hair, J. F., Risher, J. J., Sarstedt, M. & Ringle, C. M. When to use and how to report the results of PLS-SEM. EBR 31, 2–24 (2019).
Hanafiah, M. H. Formative vs. reflective measurement model: Guidelines for structural equation modeling research. Int. J. Anal. Appl. 18, 876–889 (2020).
Murri, M. B. et al. The interplay between diabetes, depression and affective temperaments: A structural equation model. J. Affect. Disord. 219, 64–71 (2017).
Walker, R. J., Gebregziabher, M., Martin-Harris, B. & Egede, L. E. Understanding the influence of psychological and socioeconomic factors on diabetes self-care using structured equation modeling. Patient Educ. Couns. 98, 34–40 (2015).
Jarvis, C. B., MacKenzie, S. B. & Podsakoff, P. M. A critical Review of construct indicators and measurement model misspecification in marketing and consumer research. J. Consum. Res. 30, 199–218 (2003).
Hair, J. F. et al. Partial least squares structural equation modeling (PLS-SEM) Using R: A Workbook (Springer, Cham, 2021). https://doi.org/10.1007/978-3-030-80519-7.
Hair, J. F., Hult, G. T. M., Ringle, C. M. & Sarstedt, M. A primer on partial least squares structural equation modeling (PLS-SEM) (SAGE, Melbourne, 2022).
Henseler, J., Ringle, C. M. & Sarstedt, M. A new criterion for assessing discriminant validity in variance-based structural equation modeling. J. Acad. Mark. Sci. 43, 115–135 (2015).
Cheah, J.-H., Sarstedt, M., Ringle, C. M., Ramayah, T. & Ting, H. Convergent validity assessment of formatively measured constructs in PLS-SEM: On using single-item versus multi-item measures in redundancy analyses. IJCHM 30, 3192–3210 (2018).
Liengaard, B. D. et al. Prediction: Coveted, yet forsaken? introducing a cross-validated predictive ability test in partial least squares path modeling. Decis. Sci. 52, 362–392 (2021).
Sharma, P. N., Liengaard, B. D., Hair, J. F., Sarstedt, M. & Ringle, C. M. Predictive model assessment and selection in composite-based modeling using PLS-SEM: Extensions and guidelines for using CVPAT. EJM 57, 1662–1677 (2023).
Diener, E. Subjective well-being. Psychol. Bull. 95, 542–575 (1984).
Scherpenzeel, A. & Saris, W. Causal direction in a model of life satisfaction: The top-down/bottom-up controversy. Soc. Indic. Res. 38, 161–180 (1996).
Headey, B., Veenhoven, R. & Wearing, A. Top-down versus bottom-up theories of subjective well-being. Soc. Indic. Res. 24, 81–100 (1991).
Hill-Briggs, F. et al. Social determinants of health and diabetes: A scientific review. Diabetes Care 44, 258–279 (2021).
Houle, J. et al. Socioeconomic status and glycemic control in adult patients with type 2 diabetes: A mediation analysis. BMJ Open Diabetes Res. Care 4, e000184 (2016).
Aarthy, R. et al. Quality of life and diabetes in India: A scoping review. Indian J. Endocr. Metab. 25, 365 (2021).
Gwozdz, W. & Sousa-Poza, A. Ageing, health and life satisfaction of the oldest old: An analysis for Germany. Soc. Indic. Res. 97, 397–417 (2010).
Kumar, A. India towards diabetes control: Key issues. AMJ 6, 524–531 (2013).
Das, A. K. et al. Health care delivery model in India with relevance to diabetes care. Heliyon 8, e10904 (2022).
Deepa, M. et al. Knowledge and awareness of diabetes in urban and rural India: The Indian Council of Medical Research India diabetes study (Phase I): Indian Council of Medical Research India diabetes 4. Indian J. Endocr. Metab. 18, 379 (2014).
Tai, S.-Y., He, J.-S., Kuo, C.-T. & Kawachi, I. Urban-rural disparities in the incidence of diabetes-related complications in Taiwan: A propensity score matching analysis. JCM 9, 3012 (2020).
Banerjee, S. Determinants of rural-urban differential in healthcare utilization among the elderly population in India. BMC Public Health 21, 939 (2021).
Shergill, H. S. Rural-urban disparity in the standard of living across states of India. Econ. Political Weekly 56, 20220034391 (2021).
Tibblin, G., Bengtsson, C., Furunes, B. & Lapidus, L. Symptoms by age and sex: The population studies of men and women in Gothenburg, Sweden. Scand. J. Prim. Health Care 8, 9–17 (1990).
Boss, G. R. & Seegmiller, J. E. Age-related physiological changes and their clinical significance. West J Med 135, 434–440 (1981).
Fernández-Ballesteros, R., Dolores Zamarrón, M. & Angel Ruíz, M. The contribution of socio-demographic and psychosocial factors to life satisfaction. Ageing Soc. 21, 25–43 (2001).
Ranjan, S. & Thakur, R. Gender differential in awareness and risk factors of diabetes among diabetes patients in India. J. Public Health (Berl.) https://doi.org/10.1007/s10389-023-01933-1 (2023).
Wang, Z., Li, X. & Chen, M. Socioeconomic factors and inequality in the prevalence and treatment of diabetes among middle-aged and elderly adults in China. J. Diabetes Res. 2018, 1–12 (2018).
