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India has over half a million diabetics, with many others at risk. The Indian Diabetes Risk Score (IDRS) is a simple and validated tool used for mass screening of diabetes mellitus type 2 at the community level. This study assessed the vulnerability of developing diabetes in adults of a rural community of West Bengal using the IDRS and finds out the relationship of the risk of developing diabetes with socioclinical variables.

Multi-stage sampling was employed to select one eligible nondiabetic adult from selected families residing in the rural field practice area of a medical college in West Bengal. They were interviewed with a predesigned and pretested data collection schedule and examined.

Among 197 participants, 83.8% were female, 51.8% were illiterate and 57.4% came from Class IV of Prasad's socioeconomic scale. Of participants, 22.8% had existing known morbidities, and 23.9% had some form of substance addiction. In total, 46.8% of the participants on whom the IDRS could be applied (n = 175) were at high risk of developing diabetes (Score = 60). Gender and existing comorbidities significantly predicted a high risk of diabetes.

A large proportion of the Indian population yet to be diagnosed with diabetes are at a high risk of having the disease. Early detection of the disease can help curtail its complications and reduce its clinical, social and economic burden. Mass screening tools like the IDRS thus become a very important tool in India's attempts to fight diabetes.

The purpose of this paper is to explore physical environmental, medical environmental, and individual factors in a sample of ethnic minority adults with or at-risk for type 2 diabetes (T2D) on the Atlantic Coast of Nicaragua.

The study used a cross-sectional descriptive design guided by a community-based participatory research framework. Three coastal communities in the South Atlantic Autonomous Region (RAAS) of Nicaragua were sampled. Inclusion criteria were: lay adult with or at-risk for T2D, ⩾21 years of age, self-identification as Creole or Miskito, and not pregnant. Convenience sampling procedures were followed. Data were collected via objective (A1C, height, and weight) and self-report (Pan American Health Organization surveys, Diabetes Care Profile subscales, and Medical Outcomes Survey Short Form-12 (MOS SF-12) measures. Univariate and bivariate statistics were computed according to level of measurement.

The sample (N=112) was predominately comprised of Creoles (72 percent), females (78 percent), and mid-age (M=54.9, SD±16.4) adults with T2D (63 percent). For participants with T2D, A1C levels, on average, tended to be elevated (M=10.6, SD±2.5). Those with or at-risk for T2D tended to be obese with elevated body mass indices (M=31.7, SD±8.1; M=30.2, SD±6.0, respectively). For many participants, fresh vegetables (63 percent) and fruit (65 percent) were reported as ordinarily available but difficult to afford (91 and 90 percent, respectively). A majority reported that prescribed medication(s) were available without difficulty (56 percent), although most indicated difficulty in affording them (73 percent). A minority of participants with T2D reported receipt of diabetes education (46 percent). A1C levels did not significantly vary according to diabetes education received or not (M=10.9, SD±2.9; M=10.4, SD±2.5; t=−0.4, p=0.71). Participants at-risk for T2D were infrequently instructed, by a provider, to follow an exercise program (4.8 percent) or meal plan (4.8 percent) and receive diabetes education (2.38 percent). MOS SF-12 findings revealed participants with T2D (M=41.84, SD=8.9; M=37.8, SD±8.5) had significantly poorer mental and physical health quality of life relative to at-risk participants (M=45.6, SD±8.4; M=48.1, SD±9.5) (t=−2.9, p<0.01; t=−2.5, p=0.01).

Salient physical environmental, medical environmental, and individual factors were identified in a sample of adults with or at-risk for T2D on Nicaragua’s Atlantic Coast.

Findings informed the development of community-based clinics to address the problem of T2D locally.

The community-based clinics, housed in trusted church settings, provide culturally competent care for underserved ethnic minority populations with or at-risk for T2D.

This is the first quantitative assessment of the T2D problem among diverse ethnic groups in Nicaragua’s underserved RAAS.

Diabetes is a major metabolic disorder which can affect entire body system adversely. Undiagnosed diabetes can increase the risk of cardiac stroke, diabetic nephropathy and other disorders. All over the world millions of people are affected by this disease. Early detection of diabetes is very important to maintain a healthy life. This disease is a reason of global concern as the cases of diabetes are rising rapidly. Machine learning (ML) is a computational method for automatic learning from experience and improves the performance to make more accurate predictions. In the current research we have utilized machine learning technique in Pima Indian diabetes dataset to develop trends and detect patterns with risk factors using R data manipulation tool. To classify the patients into diabetic and non-diabetic we have developed and analyzed five different predictive models using R data manipulation tool. For this purpose we used supervised machine learning algorithms namely linear kernel support vector machine (SVM-linear), radial basis function (RBF) kernel support vector machine, k-nearest neighbour (k-NN), artificial neural network (ANN) and multifactor dimensionality reduction (MDR).

This study contributes to the understanding of the health effects of pesticides exposure and of how pesticides have been and should be regulated.

This study presents literature reviews for the period 2000–2013 on (i) the health effects of pesticides and on (ii) preference valuation of health risks related to pesticides, as well as a discussion of the role of benefit-cost analysis applied to pesticide regulatory measures.

This study indicates that the health literature has focused on individuals with direct exposure to pesticides, i.e. farmers, while the literature on preference valuation has focused on those with indirect exposure, i.e. consumers. The discussion highlights the need to clarify the rationale for regulating pesticides, the role of risk perceptions in benefit-cost analysis, and the importance of inter-disciplinary research in this area.

This study relates findings of different disciplines (health, economics, public policy) regarding pesticides, and identifies gaps for future research.

The purpose of this study was to examine the health promotion behaviours of Gujarati Asian Indian immigrants in the United States. Although there is an abundance of literature on health promotion behaviours, research on Asian Indian immigrant’s health promotion behaviour remains unexplored. The research was conducted on a national sample of 261 Gujurati immigrants via survey questionnaire. Apath model was utilised to test predictors of health promotion behaviours among the respondents. Findings reveal that health promotion behaviours were positively associated with the respondent’s age, number of work hours and negatively associated with meal change to a more western diet. Implications for social work practitioners are discussed.

The purpose of this paper is to explore illness beliefs among adults with type 2 diabetes (T2DM), studied in a clinical setting in the Indian context. Diabetes management lies primarily in the hands of the patient, which signifies the need for understanding the various dimensions of individuals’ illness beliefs. While past research from abroad has stressed the need for understanding the patient’s perspective in effective illness management, the lack of studies in the Indian context calls for further research in this area.

Drawing on the Self-Regulation Model (Leventhal et al., 1980), semi-structured interviews were carried out to understand the beliefs about diabetes among individuals diagnosed to have T2DM. In total, 70 individuals with T2DM were included, taking into account the disease duration, urban-rural, age and gender distinctions. The data were analyzed using content analysis method.

The results of the analysis revealed numerous sub-themes related to the perceived consequences of diabetes, control or cure issues, timeline and emotional issues as experienced by the subjects.

Carrying out a triangulated research with the various stakeholders, namely, diabetologists, general practitioners and other support staff like dieticians could add more value to this exploratory study.

There is a dearth of research work that explores the illness beliefs that patients’ hold about diabetes, as discussed in the Indian context. It is expected that the insight provided by the study can help the government bodies, healthcare organizations and practitioners design and develop interventions from a patient-centric view. Additionally, such a patient-centric approach will enable individuals to achieve their treatment goals.

Diabetes is one of the major healthcare challenges in India. The chronic nature of the disease makes the lifetime cost of the treatment exorbitantly high. The medicine cost contributes a major size of expense in diabetes management. To make healthcare available to poorest of the poor, it is imperative to control the rising cost of diabetes treatment. The earlier research works done in this area focuses more on inventory management techniques to control the cost of healthcare. Less interest is shown in the role of better supply chain partnership (SCP) in reducing the cost of procurement of medicine. The purpose of this paper is to develop and use the SCP assessment framework for a diabetes clinic. The approach is generalized enough to be adopted for other similar organization.

This paper adopts self-assessment criteria of the European Foundation for Quality Management (EFQM) business excellence model for analysis of SCP in the supply chain of a private diabetes clinic in Varanasi. The paper uses analytic hierarchy process (AHP) method for calculation of weights of criteria.

The EFQM-based framework can be adopted as easy-to-use tool to make an objective assessment of the SCP. The proposed model in the study is a balanced model between enablers and results, which includes multiple assessment dimensions. The supply chain performance score of the diabetes clinic under study was found as the Tool Pusher, which means the effort in direction of SCP is not too good. The organization needs to clearly define the SCP goal and analyze the results to identify the gap areas.

The study is first of its kind and contributes to the literature by providing non-prescriptive and easy-to-use SCP assessment framework, for chronic disease care. The case study approach provides a procedure for the healthcare organization willing to adopt this approach.

Diabetes is a chronic disease and the major types of diabetes are type 1 and type 2. On aging, people with diabetes tend to have long-term problems in hypertension, coronary artery disease, obesity, and nerves. Given the increasing number of complications in recent years, by 2040, 624 million people will have diabetes worldwide and l in 8 adults will have diabetes in the future. Machine learning (ML) is evolving rapidly, many aspects of medical learning use ML. In this study, tension-type headaches (TTH) were associated with diabetes using SPSS, Pearson correlation, and ANOVA tests. Data were collected from Delhi NCR Hospital. It contains 30 diabetic subjects. The purpose of this study was to correlate diabetes analysis from TTH and other diseases using the latest technologies to analyze the Internet of Things and Big Data and Stress Correlation (TTH) on human health. The authors used Pearson correlation to correlate study variables and see if there was any effect between them. There was an important relationship between the percent variable, the total number of individuals, the number of individuals, and the minimum variable. The age (field) of the number of individuals to one of the total number of individuals showed a strong correlation (1.000) with a significant value of p (1.000). Overall, cases of TTH increased with age in men and do not follow the pattern of change in diabetes with age, but in cases of TTH, patterns of headaches such as diabetes increase to age 60 and then tend to decrease.

The goal of the present study is to examine the degree of knowledge amongst Indian women about millet grain and its nutritional advantages. Millet is regarded to be five times more nutritious than rice and wheat. Despite the fact that millet contributes to 10% of India's food grain basket and has an annual production of 18 million tonnes, it is not consumed in the same proportion as mainstream cereals (that is rice and wheat). As a result, the study's primary objective is to determine the level of awareness and consumption pattern of millet amongst Indian women regarding millet grains.

The research was carried out in the city of Bengaluru in the state of Karnataka, India. For the purpose of study, a sample of 855 female respondents was approached using a non-probability sampling technique known as convenience sampling. The data were gathered through the use of a self-administered structured questionnaire.

According to the findings of the study, the vast majority of respondents consume millet for preserving overall health. Building self and family immunity is the most important factor with 4.11 mean scores and low standard deviation of 0.985. The results reveal that 80.6% of women in the study are aware of millet but only 62.7% of women are consuming millet. The motivating factors and demotivating factors leading to consumption and non-consumption behaviour, respectively have also been identified. The study also reveals that demographic factors such as age, qualification and income have a direct influence on millet consumption.

The scope of research can be extended to explore the impact of millet consumption on long term health benefits of millet amongst the target respondents. Further, the study can be extended to explore the consumption pattern of millet among different target audience in various parts of India. The media interventions in creating awareness of millet consumption benefits need to be studied for increasing the consumption of millet.

Companies involved in producing Fast Moving Consumer Goods (FMCG) products can be encouraged to produce millet based foods like cereals, biscuits, ready to eat foods etc. Workshops can be organized to raise awareness on how the millet can replace traditional grains in the cooking process.

Policy measures may include millet being promoted through technology dissemination, creating awareness about advantages of millet and including millet in the Public Distribution System (PDS). It is also important to promote the cultivation, maintenance and processing of the local variety of millet with competent marketing strategies so as to increase their cultivation comparable to the cash crops. Farmers should be educated on the importance of cultivation of minor millet.

The fast-paced lifestyle of urban Indians has a direct impact on their dietary preferences. The World Health Organization (WHO) recommends that people have a nutritionally balanced diet and engage in regular physical activity to reduce health risks. In India, as a result of women's increased participation in the workforce, women are forced to manage many tasks and obligations, which has detrimental effects on their health. The poor nutritional status of modern-day workers is attributed to a lack of education, lack of awareness and a general disregard for health-related concerns. There is a need to investigate if Indian women are aware of the nutritional benefits of millet grains that are higher in protein.

Type 2 diabetes mellitus has emerged as a major public health problem in Canada. Although the prevalence of Type 2 diabetes among black people is higher than that of white people in Canada, there is no diabetes prevention programme specifically designed to address the behavioural and sociocultural influences on the development of the disease in the black communities. This paper discusses a proposed conceptual framework for the development and evaluation of a diabetes prevention programme that is culturally relevant and responsive to the black communities in Canada. The research literature and results of a recent pilot study that assessed the programming needs of four black communities provide the basis upon which the proposed framework is developed.