Epidemiology of type 2 diabetes mellitus and treatment utilization patterns among the elderly from the first wave of Longitudinal Aging study in India (2017-18)using a Heckman selection model

Barman, Papai; Das, Milan; Verma, Madhur

doi:10.1186/s12889-023-15661-4

Cited by 10 publications

(5 citation statements)

References 35 publications

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“…The current study focuses on adults as they witness the rapid transition in their lifestyle, including work culture, substance abuse, decreased physical activity, and unhealthy eating habits. With the steady progress of adults to the geriatric age groups, we need to prepare ourselves for the impending consequences of this newer lifestyle in the form of increased morbidity due to NCDs [ 20 ]. Our study depicts specific findings that cause concern.…”

Section: Discussionmentioning

confidence: 99%

Factors Contributing to the Change in Overweight/Obesity Prevalence Among Indian Adults: A multivariate decomposition analysis of data from the National Family Health Surveys

Verma,

Esht,

Alshehri

et al. 2023

Adv Ther

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Introduction Concerns over the escalating burden of non-communicable diseases call for the redressal of behavioral risk factors like increased body mass index. Most studies have failed to quantify the contribution of socio-demographic characteristics in a linear trend. The present study aims to estimate the current prevalence of overweight and obesity in Indian adults and the contribution of different socio-demographic factors to the increasing prevalence. Methods We carried out a secondary data analysis of two National Family Health Survey (NFHS) rounds. The final sample includes 558,122 women and 84,477 men from round 4, and 574,099 women and 74,761 men were included from round 5, using a multi-stage stratified random sampling approach. Overweight/obesity was our primary dependent variable. Weighted bivariate analysis was used to ascertain the prevalence, and the adjusted odds ratios were computed to ascertain the potential predictors. The contribution of different factors towards rising burden over two time points was estimated using multivariate decomposition analysis for non-linear response models. Results Overall weighted prevalence of overweight and obesity in males and females per NFHS-5 was 44.02% and 41.16%, respectively, compared to 37.71% and 36.14% in NFHS-4. Decomposition analyses depict that the proportion of obesity increased by 6.37% and 5.10% points among men and women, respectively, over the two rounds. Compositional differences of participants (endowment) attributed to 16.54 and 49.90% differences, and the difference in coefficient or effect accounted for 83.46 and 50.10%, respectively, of the increase in the prevalence. The most significant factors contributing to increased prevalence were age, improving socio-economic status, smoking, unclean cooking fuel, and diabetes. Conclusions The incremental rise in such a short period, mainly attributed to the effect of socio-demographic variables, is concerning. Policy interventions should prioritize health advocacy programs and aggressively target behavioral modifications while preparing the health systems to manage the people living with obesity.

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Section: Discussionmentioning

confidence: 99%

Factors Contributing to the Change in Overweight/Obesity Prevalence Among Indian Adults: A multivariate decomposition analysis of data from the National Family Health Surveys

Verma,

Esht,

Alshehri

et al. 2023

Adv Ther

Self Cite

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“…India has witnessed exponential growth in the prevalence of T2DM over the past few decades, from 5.0% in 1980 to 7.3% in 2000, and further escalating to 8.8% in 2014 (Anjana et al, 2017 ). The International Diabetes Federation (IDF) estimates the number of people with diabetes in India to be 77 million in 2019, projected to rise to 134 million by 2045 (Barman et al, 2023 ; Saeedi et al, 2019 ).…”

Section: Introductionmentioning

confidence: 99%

Prevalence of diabetes distress among type 2 diabetes mellitus patients in India: a systematic review and meta-analysis

Sinha,

Priya,

Sinha

et al. 2024

Health Psychology and Behavioral Medicine

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Introduction The burden of type 2 diabetes mellitus (T2DM) in India is on the rise, with projections indicating a staggering 134 million cases by 2045. Managing T2DM demands strict adherence, often resulting in mental strain and burnout. Diabetes distress (DD), a unique psychological burden, significantly affects motivation and self-care, contributing to increased morbidity and mortality. Material and Methods This study was conducted by doing a comprehensive literature search using PubMed (MEDLINE) and EMBASE databases for studies published from their inception to 14th August 2023 by using relevant keywords. The protocol is registered in PROSPERO and adheres to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) checklist. Selected articles were meticulously screened based on predetermined inclusion and exclusion criteria. Joanna Briggs Institute (JBI) Critical Appraisal scale for cross-sectional study was used for assessing the study quality. Data analysis was done by using Jamovi 2.3.24 software Results Following the systematic search and screening process, 10 cross-sectional studies were identified, comprising a total of 2,107 Type 2 Diabetes Mellitus patients. All studies employed the Diabetes Distress Scale–17 (DDS-17) for measurement. The prevalence of DD varied, ranging from 8.45% to 61.48%. The pooled prevalence of DD in T2DM patients in India was estimated at 33% (95% CI: 21%–45%) with substantial heterogeneity observed ( I 2 = 97.33%, P < 0.001). While an asymmetric funnel plot suggested potential publication bias, sensitivity analysis reinforced the robustness of our findings. Conclusion Policymakers, clinicians, and researchers can leverage these insights to prioritize the psychological well-being of T2DM patients, ultimately improving their overall health outcomes. This study aligns with the Sustainable Development Goals (SDGs) and India's national health policy, emphasizing the urgency of screening and treating diabetes-related distress by 2025.

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“…In the year 2019, the prevalence of type 2 diabetes mellitus (T2DM) in India was approximately 77 million among adults, with nearly 25 million individuals classified as prediabetic [ 5 ]. India holds the second position globally for the highest number of T2DM patients, following China, reflecting the massive burden of T2DM in the country [ 6 ]. The number of undiagnosed individuals with diabetes in India is approximately 43.9 million, constituting nearly 57% of the adult population [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

Effect of Self-Care Activities and Behaviors on Glycemic Control in Patients With Diabetes at a Tertiary Care Hospital in Perambalur, South India: A Cross-Sectional Study

Muniyapillai,

Kulothungan,

Aswin

et al. 2024

Cureus

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Background The complications of type 2 diabetes mellitus (T2DM) continue to cause significant morbidity and mortality, resulting in a substantial economic burden on both individual patients and society. The adoption of self-care practices leads to enhanced glycemic control, decreased complications, and an elevated quality of life. This study aimed to examine self-care activities and their association with glycemic control among individuals with diabetes. Materials and methods A cross-sectional study was conducted, involving 150 previously diagnosed T2DM patients who visited the tertiary care hospital in Perambalur, Tamilnadu, India, from March 2023 to May 2023. The collection of data involved conducting a semi-structured interview using the diabetes self-management questionnaire (DSMQ) over an eight-week period. Following the input of the data into MS Excel (Microsoft® Corp., Redmond, WA), SPSS Statistics version 26.0 (IBM Corp. Released 2019. IBM SPSS Statistics for Windows, Version 26.0. Armonk, NY: IBM Corp) was used for data analysis. Results The mean age of the patients was 58.35±11.97 years, and 54.7% (n=82) of them were male. Nearly 65% of diabetic patients (n=98) were on orally administered antihyperglycemic agents. Fifty-nine percent (n=89) of the patients were observed to possess self-care behaviors that met the criteria for adequacy, as the DSMQ scores were dichotomized into "adequate" (≥6) and "inadequate" (<6) categories. We observed that 65% (n=98) of the patients had uncontrolled T2DM, characterized by an HbA1C level above 7.5%. Out of the four subscales of self-care behaviors assessed in this study, "glucose management" scored the highest (5.27±1.30), followed by "dietary control" (5.09±1.53), "healthcare use" (4.86±1.50), and "physical activity" (3.27±1.42). The proportion of diabetic patients who had adequate self-management (55%, n=49) had better glycemic control compared to diabetic patients who had inadequate self-management (4.91%, n=3), and this difference in proportion was statistically significant by the chi-square test (p-value 0.001). Similarly, a statistically significant association was noted between glycemic control and the subscales of DSMQ, namely glucose management, dietary control, physical activity, and healthcare utilization. Conclusion The findings in this study indicate that a noticeable proportion of T2DM patients practice inadequate self-care behaviors. According to the DSMQ, diabetic patients with adequate self-management had better glycemic control than diabetic patients with inadequate self-management. According to this research, patients with good glycemic control also tend to exercise better self-care management and show a greater concern for their illness.

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Epidemiology of type 2 diabetes mellitus and treatment utilization patterns among the elderly from the first wave of Longitudinal Aging study in India (2017-18)using a Heckman selection model

Cited by 10 publications

References 35 publications

Factors Contributing to the Change in Overweight/Obesity Prevalence Among Indian Adults: A multivariate decomposition analysis of data from the National Family Health Surveys

Factors Contributing to the Change in Overweight/Obesity Prevalence Among Indian Adults: A multivariate decomposition analysis of data from the National Family Health Surveys

Prevalence of diabetes distress among type 2 diabetes mellitus patients in India: a systematic review and meta-analysis

Effect of Self-Care Activities and Behaviors on Glycemic Control in Patients With Diabetes at a Tertiary Care Hospital in Perambalur, South India: A Cross-Sectional Study

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