Diabetes mellitus: Trends in northern India

A mediation analysis evaluating change in self-stigma on diabetes outcomes among people with depression in urban India: A secondary analysis from the INDEPENDENT trial of the collaborative care model

Self-stigma-the internalization of negative community attitudes and beliefs about a disease or condition-represents an important barrier to improving patient care outcomes for people living with common mental disorders and diabetes. Integrated behavioral healthcare interventions are recognized as evidence-based approaches to improve access to behavioral healthcare and for improving patient outcomes, including for those with comorbid diabetes, yet their impact on addressing self-stigma remains unclear. Using secondary data from the Integrating Depression and Diabetes Treatment (INDEPENDENT) study-a trial that aimed to improve diabetes outcomes for people with undertreated and comorbid depression in four urban Indian cities via the Collaborative Care Model-we longitudinally analyzed self-stigma scores and evaluated whether change in total self-stigma scores on diabetes outcomes is mediated by depressive symptom severity. Self-stigma scores did not differ longitudinally comparing Collaborative Care Model participants to enhanced standard-of-care participants (mean monthly rate of change in Self-Stigma Scale for Chronic Illness-4 Item scores; B = 0.0087; 95% CI: -0.0018, 0.019, P = .10). Decreases in total self-stigma scores over 12 months predicted diabetes outcomes at 12 months (HbA1c, total effect; B = 0.070 95%CI: 0.0032, 0.14; P < .05), however depressive symptoms did not mediate this relationship (average direct effect; B = 0.064; 95% CI: -0.0043, 0.13, P = .069). Considering the local and plural notions of stigma in India, further research is needed on culturally grounded approaches to measure and address stigma in India, and on the role of integrated care delivery models alongside multi-level stigma reduction interventions. Trial registration : ClinicalTrials.gov, NCT02022111. https://clinicaltrials.gov/study/NCT02022111.

Trends in the diabetes incidence and mortality in India from 1990 to 2019: a joinpoint and age-period-cohort analysis

Introduction

Globally, a metabolic disorder like Diabetes is considered as one of the largest global health issues, as it accounts for the majority of the disease burden and happens to be one of the leading causes of mortality as well as reduced life expectancy across the world. As in 2019, India is home to the second-largest number (77 million) of Diabetic adults and the number of people affected has been increasing rapidly over the years. Termed as "the diabetes capital of the world," with every fifth diabetic in the world being an Indian, there is an urgent need to address many critically significant challenges posed by Diabetes in India, like, increasing prevalence among young people in urban areas, less awareness among people, high cost of disease management, limited healthcare facilities, suboptimal diabetes control etc. In Indian context, not enough attempts have been made to observe and understand the long-term pattern of diabetes incidence and mortality. This study aims to provide deep insights into the recent trends of diabetes incidence and mortality in India from 1990 to 2019.

Materials and methods

This is an observational study based on the most recent data from the Global Burden of Disease (GBD) Study 2019. We extracted numbers, age-specific and age-standardized incidence and mortality rates of diabetes (from 1990 to 2019) from the Global Health Data Exchange. The average annual percentage changes in incidence and mortality were analysed by joinpoint regression analysis; the net age, period, and cohort effects on the incidence and mortality were estimated by age-period-cohort analysis.

Results

During the study period, age-standardized incidence and mortality rates of diabetes in India experienced an upsurge in numbers, the incidence rate increased from 199.14 to 317.02, and consequently, mortality increased from 22.30 to 27.35 per 100,000 population. The joinpoint regression analysis showed that the age-standardized incidence significantly rose by 1.63 % (95 % CI: 1.57 %, 1.69 %) in Indian males and 1.56 % in Indian females (95 % CI: 1.49 %, 1.63 %) from 1990 to 2019. On the other hand, the age-standardized mortality rates rose by 0.77 % (95 % CI: 0.24 %, 1.31 %) in Indian males and 0.57 % (95 % CI: -0.54 %, 1.70 %) in Indian females. For age-specific rates, incidence increased in most age groups, with exception of age groups 5-9, 70-74, 75-79 and 80-84 in male, and age groups 5-9, 75-79 and 80-84 in female. Mortality in male saw a decreasing trend till age group 20-24, whereas in female, the rate decreased till age group 35-39. The age effect on incidence showed no obvious changes with advancing age, but the mortality significantly increased with advancing age; period effect showed that both incidence and mortality increased with advancing time period; cohort effect on diabetes incidence and mortality decreased from earlier birth cohorts to more recent birth cohorts, while incidence showed no material changes from 1975 to 1979 to 2000-2004 birth cohort.

Conclusions

Mortality of diabetes decreased in younger age groups but increased in older age groups; however, Incidence increased in most age groups for both male and female. The net age or period effect showed an unfavourable trend while the net cohort effect presented a favourable trend. Aging was likely to drive a continued increase in the mortality of diabetes. Timely population-level interventions aiming for health education, lifestyle modification with special emphasis on the promotion of physical activity and healthy diet should be conducted, especially for male and earlier birth cohorts at high risk of diabetes.

Quality of Life and its Determinants in Patients with Diabetes Mellitus from Two Health Institutions of Sub-himalayan Region of India

BACKGROUND

Diabetes mellitus (DM) causes serious deterioration in general quality of life (QoL) mainly affecting the health-related quality of life (HRQOL). Routine assessment of QoL improves communication with the patient, helps to predict treatment response, and supports clinical decision-making. QoL can predict an individual's capacity to manage the disease and maintain long-term health and wellbeing.

AIMS

To find out the QoL and its socio-demographic, anthropometric, and clinical determinants among DM patients attending health institutions from sub-Himalayan region, catering rural population.

SETTINGS AND DESIGN

This cross-sectional study was conducted in two hospitals mostly catering rural population from 2014 to 2018. Purposive sampling technique was used.

MATERIALS AND METHODS

Socio-demographic, anthropometric, and clinical data of DM patients (N = 300) were collected. They were administeredHindi translation of QoL Instrument for Indian Diabetes Patients (QOLID) and Patient Health Questionnaire-9 (PHQ-9). All statistical analyses were carried out using Statistical Package for Social Sciences (SSPS) (Version 17.0, USA).

RESULTS

About 10% had very poor, 13% poor, 11% average, 16% good, and 50% very good QoL on QOLID. General health (GH) and treatment satisfaction (TS) were the most affected domains. Fatigue was the most common symptom (79%) reported in QOLID. Age more than 55 years, rural background, and PHQ-9 score of more than 7 were predictors of poorer QoL.

CONCLUSION

There is a need for a holistic and collaborative care of DM patients, to maintain a good HRQoL. Screening of depression, fatigue, and regular assessment of QoL should be emphasized.

Distribution of glycated haemoglobin and its determinants in Indian young adults

AIM

The aim of the present study is to understand the distribution of A1c in four different age groups in young adults and its relation to other co-variants.

METHODS

The countrywide data was collected in 2017 in Individuals with high risk analysed by Indian Diabetes Risk Score (IDRS) and self-declared diabetics were identified after screening a sample of 240,968 individuals from rural (4 villages of about 500 adults each) and urban (4 census enumeration blocks of about 500 adults each) population spanning 65 districts of 29 states/UTs of Indian subcontinent. Blood tests and other detailed assessments were carried out on this selected group. This study presents the analysis of the A1c values of 2862 young adults (<35 years).

RESULTS

In the age group of 31-34 years, the proportion of Diabetes (22.36%) and Prediabetes (9.86%) was higher in comparison with younger age groups. Also, Diabetes (7.3%) and Prediabetes (22%) were highest among those who had parental history of DM in both parents as compared to those with Diabetes history in one parent [Diabetes (7.1%) or Prediabetes (19.0%)] and no Diabetes Parental History (Diabetes (7.3%) and Prediabetes (18.3%) cases. BMI was found to play a significant positive correlation with Diabetes and Prediabetes (p < 0.001) with range of A1c.

CONCLUSION

Age, BMI and parental history were found to be correlated with A1c levels in IDRS screened high-risk population. With increasing age, the proportion of Diabetics and Prediabetics also increased with positive correlation of age with A1c levels.

Risk factors in patients with type 2 diabetes in Bengaluru: A retrospective study

BACKGROUND

Risk factors such as hereditary, ecological, and metabolic are interrelated and contribute to the development of type 2 diabetes mellitus. Family history (FH) of diabetes mellitus, age, obesity, and physical inactivity are some of the risk factors for the development of type 2 diabetes.

AIM

To study various aetiological determinants and risk factors for type 2 diabetes in Bangalore, India. This retrospective study examined questionnaire from patients attending the Diabetes Clinic.

METHODS

Data on various parameters were obtained through a questionnaire from 533 patients on the first visit to the diabetes clinic. Data regarding various aetiological determinants and risk factors viz.: Genetic risk factor and few modifiable risk factors were collected. Chi-squared test was used for statistical analysis.

RESULTS

A higher incidence of type 2 diabetes in males and younger population was observed in Bangalore, India. Obesity and FH were significant risk factors for not only type 2 diabetes but also early onset of diabetes. In addition, maternal history of type 2 diabetes and consanguinity increased incidence of early onset type 2 diabetes.

CONCLUSION

Risk factors such as obesity and FH (maternal history of type 2 diabetes) and consanguinity may play an important role in screening of family members of type 2 diabetes patients which may lead to early intervention and reduced risk of subsequent complications. Moreover, susceptible population can be counselled for the management of the type 2 diabetes including periodic investigation of blood glucose levels and lifestyle changes.

Can Social Integration and Social Support Help to Explain Racial Disparities in Health Care Utilization Among Men with Diabetes?

OBJECTIVE

Discovering the mechanisms through which racial and ethnic background influence health is critical to better understanding racial disparities in health among men with a diabetes diagnosis. The present study examines whether social support and social integration mediate or buffer the relationship between race and health care utilization among U.S. men.

METHOD

This study used a sub-sample from the 2001 National Health Interview Survey that included Latino, African American, non-Latino White men living with self-reported diabetes (n = 7,148).

RESULTS

Findings revealed that African American men with high levels of social integration were less likely to forego care (OR = 0.234, [CI = 0.053,1.045]). Also, African American men who did not attend church had higher odds of foregoing care (OR = 0.222, [CI = 0.110,0.448]).

CONCLUSIONS

The effect of social networks operate differently for African American men with diabetes compared to non-Latino white men. Identifying racial differences in the influence of social networks on health will assist in developing interventions that may help to decrease gender and race gaps in health for men with diabetes.

Validity of Indian Diabetes Risk Score and its association with body mass index and glycosylated hemoglobin for screening of diabetes in and around areas of Lucknow

OBJECTIVES

The present study aimed to assess the validity of Indian Diabetes Risk Score (IDRS) and its association with body mass index (BMI) and glycosylated hemoglobin (HbA1c) for screening of diabetes and obesity.

METHODOLOGY

A cross-sectional study was designed, and samples were randomly enrolled from Lucknow and its adjoining areas. Totally, 405 subjects were included in the study. We used diabetes risk factors (age, waist circumference, physical activity, and family history of diabetes) for screening of diabetes and abdominal obesity (AO) and BMI for screening of general obesity. HbA1c was used for confirming the diabetes patients in this population. Statistical analysis was applied to all data using SPSS software (version 20.0). P < 0.05 was considered statistically significant.

RESULTS

All 405 subjects were assessed for diabetic risk factors, BMI, and glycated hemoglobin. Of these, 56.3% subjects were aged ≥50 years. 1° and 2° AO was found in 47.9% and 40% subjects, respectively. About 27.1% subjects were found to have sedentary lifestyle, and 72.6% were found to have no family history of diabetes. According to IDRS, 272 subjects (67.2%) were found at high risk of diabetes (score ≥60). Based on BMI calculation, 198 subjects were obese, of which 79.3% were found at high risk for diabetes. A significant association was found between subjects with higher risk score and BMI (P < 0.001). Assessment of HbA1c showed that 97 (23.9%) were prediabetic and 204 (50.4%) were diabetic, of which 63.9% and 77%, respectively was at high risk for diabetes as per IDRS. A significant association was found between subjects with higher risk score and HbA1c (P < 0.001).

CONCLUSION

Our study fully supports the validity of IDRS, as it can be used as a cost-effective tool for primary mass screening of diabetes. Moreover, its combination with BMI value and HbA1c can be used for strict monitoring for diabetes and obesity at primary health care centers to reduce the early development of diabetes complications and severe obesity comorbidities.

Prognostic Factors in Patients Hospitalized with Diabetic Ketoacidosis

BACKGROUND

Diabetic ketoacidosis (DKA) is characterized by a biochemical triad of hyperglycemia, acidosis, and ketonemia. This condition is life-threatening despite improvements in diabetic care. The purpose of this study was to evaluate the clinical and biochemical prognostic markers of DKA. We assessed correlations in prognostic markers with DKA-associated morbidity and mortality.

METHODS

Two hundred and seventy patients that were hospitalized with DKA over a period of 2 years were evaluated clinically and by laboratory tests. Serial assays of serum electrolytes, glucose, and blood pH were performed, and clinical outcome was noted as either discharged to home or death.

RESULTS

The analysis indicated that significant predictors included sex, history of type 1 diabetes mellitus or type 2 diabetes mellitus, systolic blood pressure, diastolic blood pressure, total leukocyte count, Acute Physiology and Chronic Health Evaluation II (APACHE II) score, blood urea nitrogen, serum creatinine, serum magnesium, serum phosphate, serum osmolality, serum glutamic oxaloacetic transaminases, serum glutamic pyruvic transaminases, serum albumin, which were further regressed and subjected to multivariate logistic regression (MLR) analysis. The MLR analysis indicated that males were 7.93 times more likely to have favorable outcome compared with female patients (odds ratio, 7.93; 95% confidence interval, 3.99 to 13.51), while decreases in mean APACHE II score (14.83) and serum phosphate (4.38) at presentation may lead to 2.86- and 2.71-fold better outcomes, respectively, compared with higher levels (APACHE II score, 25.00; serum phosphate, 6.04).

CONCLUSION

Sex, baseline biochemical parameters such as APACHE II score, and phosphate level were important predictors of the DKA-associated mortality.

An ethnobotanical survey of antidiabetic plants used by Hausa-Fulani tribes in Sokoto, Northwest Nigeria

ETHNOPHARMACOLOGICAL RELEVANCE

Sokoto is known for its diverse traditional medicinal wealth and international market of traditional medicines in Africa. However, information of the folk knowledge, especially for the treatment of diabetes, is not documented.

AIM OF THE STUDY

This survey identified and documented the information on traditional medicinal plants used by Hausa-Fulani community of Sokoto for the treatment of diabetes.

MATERIALS AND METHOD

Demographic data and information about the medicinal plants were collected via administration of semi-structured oral questionnaires. Willing herbal medical practitioners/traditional healers were interviewed. The medicinal plants mentioned by herbalists were collected and authenticated by a taxonomist and the voucher specimens were preserved.

RESULTS

Fifty one informants across the state divulged information on traditional medicinal plants and practices used in diabetes and revealed 54 species, belonging to 33 families, with Cassia sieberiana being cited the most (19 times) and ranked first (39%). Azadirachta indica, Ficus exasperata and Schwenckia americana ranked second (15%), each cited 8 times.

CONCLUSION

The survey documented the rich wealth of knowledge and usage of plants for the treatment of diabetes in Sokoto. The paper will not only serve as a source of information but will also help to make the knowledge accessible for further drug screening and development, and at the same time underlines the need for biodiversity conservation of this traditional wealth.