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Objectives: Diabetes is a significant public health concern in India, with Kerala being labeled as the diabetes capital of the country. The study aims to evaluate the prevalence, treatment, and management of diabetes to examine the unmet need for care to propose cost-effective strategies. Design: A cross-sectional study was conducted on a geographically defined cohort population in Ernakulam. Sample: This paper presents diabetes data of adults ≥30 years enrolled from the community cohort. The interviews were conducted with 997 participants at their residence. Measurement: Random blood glucose was assessed for each participant using a finger prick test. Results: The overall prevalence of diabetes was 30.1%, of which 4.1% of participants had undiagnosed diabetes. Among those with diabetes, 86.3% were aware of their diagnosis; among those aware, 86.5% were on treatment. Among those on treatment for diabetes, 54% achieved controlled blood sugar. Conclusion: The challenge in diabetes management is controlling the blood glucose levels of people who adhere to treatment. Younger employed females from lower-income quartiles have the highest risk. The study also raises questions about quality and strategies for medication compliance. The findings inspire future research on care needs, policies, and program responses to reduce the diabetes disease burden. [ABSTRACT FROM AUTHOR]

SummaryIntroduction1Definitions of ethnic groups and demographics of minority ethnic groups in the UK○ 1.1 Definitions of 'ethnic groups' and 'ethnicity'○ 1.2 Demographics and characteristics of minority ethnic groups in the UK– Countries of origin– Age/sex distribution and life expectancy– Geographical distribution and size of household– Religious beliefs– Education and employment patternsKey points2Overview of the health profile and dietary habits of minority ethnic groups in the UK○ 2.1 Available surveys○ 2.2 Overview of the health profiles among adults from minority ethnic groups– Overall health– Cardiovascular disease (CVD)– Coronary heart disease (CHD)– Stroke– Type 2 diabetes– Obesity○ 2.3 Possible causes of increased disease risk among minority ethnic groups○ 2.4 Smoking, drinking and physical activity habits○ 2.5 Dietary habits and nutritional status○ 2.6 Overview of the health profiles and dietary and health behaviour patterns of children from minority ethnic groups– Overall health– Diet and health behaviour patterns○ 2.7 Gaps in data availabilityKey points3Factors affecting food choice– Income and socio‐economic status– Food availability and access– Awareness of healthy eating– Religious beliefs– Food beliefs– Time and cooking skills– Generation and genderKey points4Traditional diets of minority ethnic groups○ 4.1 Overview of traditional diets of minority ethic groups– South Asians– African‐Caribbeans– Chinese○ 4.2 Dietary acculturation○ 4.3 Nutritional composition of ethnic‐style cuisineKey points5Nutritional interventions and health promotion among minority ethnic groups○ 5.1 Effective nutritional interventions○ 5.2 Health promotion interventions to prevent problems associated with fasting○ 5.3 Priorities for nutritional interventions and health promotion○ 5.4 Using behaviour change models○ 5.5 Current community initiatives○ 5.6 Catering for institutionalised individuals○ 5.7 Recommendations for future research, policy and practiceKey points6Conclusion• Acknowledgements• References Summary: According to the latest census, non‐white minority ethnic groups made up 7.9% of the UK's population in 2001. The largest of these groups were South Asians, Black African‐Caribbeans and Chinese. Studies have shown that some minority ethnic groups are more likely to experience poorer health outcomes compared with the mainstream population. These include higher rates of cardiovascular disease (CVD), type 2 diabetes and obesity. The differences in health outcomes may reflect interactions between diet and other health behaviours, genetic predisposition and developmental programming, all of which vary across different groups. As is the case for the rest of the population, the dietary habits of minority ethnic groups are affected by a wide variety of factors, but acquiring a better understanding of these can help health professionals and educationalists to recognise the needs of these groups and help them to make healthier food choices. Unfortunately, to date, there have been few tailored, well‐designed and evaluated nutritional interventions in the UK targeting minority ethnic population groups. Further needs assessment and better evaluation of nutritional interventions have been recommended to enhance the understanding of the effectiveness of different approaches amongst minority ethnic groups. This briefing paper will provide an overview of the health profile, dietary habits and other health behaviours of the three largest non‐white minority ethnic groups in the UK, explore the factors affecting their food choices, provide a summary of their traditional diets and review the evidence base to identify the factors that support successful nutrition interventions in these groups. [ABSTRACT FROM AUTHOR]

Despite strong policy and program commitment, essential maternal nutrition services are not reaching enough women in many countries. This paper examined multifactorial determinants (personal, family, community, and health services) associated with maternal nutrition practices in Uttar Pradesh, India. Data were from a household survey of pregnant (n = 667) and recently delivered women (n = 1,835). Multivariable regression analyses were conducted to examine the determinants of four outcomes: consumption of diverse diets, consumption of iron folic acid (IFA) and calcium tablets, and weight monitoring during pregnancy. Population attributable risk analysis was used to estimate how much the outcomes can be improved under optimal program implementation. During pregnancy, women consumed 28 IFA and 8 calcium tablets, 18% consumed diverse diet, and 17% were weighed ≥3 times. Nutrition knowledge was associated with consumption of diverse diet (odds ratio [OR] = 2.2 times), IFA (2.3 times), calcium (11.7 times), and weight monitoring (1.3 times). Beliefs and self‐efficacy were associated with IFA (OR = 2.0) and calcium consumption (OR = 4.6). Family support and adequate health services were also associated with better nutrition practices. Under optimal program implementation, we estimate that 51% of women would have adequate diet diversity, an average consumption of 98 IFA, and 106 calcium tablets, and women would be weighed 4.9 times during pregnancy. Strengthening existing program operations and increasing demand for services has the potential to result in large improvements in maternal nutrition practices from current baseline levels but may not be sufficient to meet World Health Organization‐recommended levels without creating an enabling environment including improvements in education and income levels to support behaviour change. [ABSTRACT FROM AUTHOR]

Dietary intake during pregnancy plays a vital role in determining the health of both mother and baby. Maternal undernutrition affects a large proportion of women in low and lower middle income countries (LLMIC) likely influencing high maternal, infant, and child mortality in these countries. Mobile health (mHealth) interventions have been proposed as effective solutions to improve maternal and neonatal health. This paper reviews the literature to evaluate the effectiveness of mHealth interventions on improving dietary/nutrients intake of pregnant women in LLMIC. Eight electronic databases were searched from inception up to April 2018, including the MEDLINE, EMBASE, CINAHL, Cochrane, Web of Science, Scopus, Global Index Medicus, and Maternity and Infant Care. Using Covidence, two reviewers assessed articles for inclusion, assessed study quality and extracted data. Only studies published in English language were included. Data were summarised narratively. In total, 6,778 were identified of which four were included, with three randomised controlled trials and one prepost experimental study. Studies were conducted in India (n = 2), Indonesia (n = 1), and Kenya (n = 1). All articles evaluated the use of nutrient supplements; iron supplements (n = 1), vitamin supplements (composition not mentioned; n = 1), or calcium supplements (n = 1). This review suggests that mHealth interventions can be used to improve intake of micronutrient supplementation and nutritional status of pregnant women in LLMIC. Further studies are needed to address the limited evidence base related to mHealth nutrition interventions targeting dietary intakes of pregnant women in LLMIC. [ABSTRACT FROM AUTHOR]