Multimorbidity, defined as the coexistence of two or more chronic conditions in the same individual, is becoming a crucial health issue in primary care. Patients with multimorbidity utilize health care at a higher rate and have higher mortality rates and poorer quality of life compared to patients with single diseases.

To explore evidence on how to advance multimorbidity management, with a focus on primary care. Primary care is where a large number of patients with multimorbidity are managed and is considered to be a gatekeeper in many health systems.

A narrative review was conducted using four major electronic databases consisting of PubMed, Cochrane, World Health Organization database, and Google scholar. In the first round of reviews, priority was given to review papers summarizing the current issues and challenges in the management of multimorbidity. Thematic analysis using an inductive approach was used to build a framework on how to advance management. The second round of review focused on original articles providing evidence within the primary care context.

The review found that advancing multimorbidity management in primary care requires a health system approach and a patient-centered approach. The health systems approach includes three major areas: (i) improves access to care, (ii) promotes generalism, and (iii) provides a decision support system. For the patient-centered approach, four key aspects are essential for multimorbidity management: (i) promoting doctor-patient relationship, (ii) prioritizing health problems and sharing decision-making, (iii) supporting self-management, and (iv) integrating care.

Advancement of multimorbidity management in primary care requires integrating concepts of multimorbidity management guidelines with concepts of patient-centered and chronic care models. This simple integration provides an overarching framework for advancing the health care system, connecting the processes of individualized care plans, and integrating care with other providers, family members, and the community.

Undernutrition and non-communicable disease (NCD) are important public health issues in India, yet their relationship with dietary patterns is poorly understood. The current study identified distinct dietary patterns and their association with micronutrient undernutrition (Ca, Fe, Zn) and NCD risk factors (underweight, obesity, waist:hip ratio, hypertension, total:HDL cholesterol, diabetes).

Data were from the cross-sectional Indian Migration Study, including semi-quantitative FFQ. Distinct dietary patterns were identified using finite mixture modelling; associations with NCD risk factors were assessed using mixed-effects logistic regression models.

India.

Migrant factory workers, their rural-dwelling siblings and urban non-migrants. Participants (7067 adults) resided mainly in Karnataka, Andhra Pradesh, Maharashtra and Uttar Pradesh.

Five distinct, regionally distributed, dietary patterns were identified, with rice-based patterns in the south and wheat-based patterns in the north-west. A rice-based pattern characterised by low energy consumption and dietary diversity (‘Rice & low diversity’) was consumed predominantly by adults with little formal education in rural settings, while a rice-based pattern with high fruit consumption (‘Rice & fruit’) was consumed by more educated adults in urban settings. Dietary patterns met WHO macronutrient recommendations, but some had low micronutrient contents. Dietary pattern membership was associated with several NCD risk factors.

Five distinct dietary patterns were identified, supporting sub-national assessments of the implications of dietary patterns for various health, food system or environment outcomes.

Legume consumption is associated with lower fasting glucose (FG) and insulin levels in nutrition trials and lower CVD mortality in large-scale epidemiological studies. In India, legumes are widely consumed in various preparations, yet no epidemiological study has evaluated the association of legumes with FG levels, insulin resistance and diabetes risk. The present study aimed to fill this gap.

Fasting blood samples, in-person interviews to obtain information on demographic/socio-economic factors, physical activity, alcohol and tobacco use, and anthropometric measurements were collected. Dietary intakes were assessed by an interviewer-administered, validated, semi-quantitative FFQ.

Lucknow, Nagpur, Hyderabad and Bangalore, India.

Men and women (n 6367) aged 15–76 years – urban residents, urban migrants and their rural siblings.

In multivariate random-effects models adjusted for age, BMI, total energy intake, macronutrients, physical activity and rural/migration status, daily legume consumption was not associated with FG (P-for-trend=0·78), insulin resistance (homeostasis model assessment score; P-for-trend=0·73) or the prevalence of type 2 diabetes mellitus (P-for-trend=0·41). Stratified analyses by vegetarian diet and migration status did not change the findings. Inverse associations between legumes and FG emerged for participants with lower BMI and higher carbohydrate, protein, fat and sugar intakes.

Although legumes are essential in traditional Indian diets, as well as in prudent and Mediterranean diets in the West, we did not find an association between legumes and markers of glycaemic control, insulin resistance or diabetes, except for subgroups based on BMI and macronutrient intake. The ubiquitous presence and complexity of legume preparations in Indian diets may contribute to these findings.

Obesity is a growing problem in India, the dietary determinants of which have been studied using an ‘individual food/nutrient’ approach. Examining dietary patterns may provide more coherent findings, but few studies in developing countries have adopted this approach. The present study aimed to identify dietary patterns in an Indian population and assess their relationship with anthropometric risk factors.

FFQ data from the cross-sectional sib-pair Indian Migration Study (IMS; n 7067) were used to identify dietary patterns using principal component analysis. Mixed-effects logistic regression was used to examine associations with obesity and central obesity.

The IMS was conducted at four factory locations across India: Lucknow, Nagpur, Hyderabad and Bangalore.

The participants were rural-to-urban migrant and urban non-migrant factory workers, their rural and urban resident siblings, and their co-resident spouses.

Three dietary patterns were identified: ‘cereals–savoury foods’ (cooked grains, rice/rice-based dishes, snacks, condiments, soups, nuts), ‘fruit–veg–sweets–snacks’ (Western cereals, vegetables, fruit, fruit juices, cooked milk products, snacks, sugars, sweets) and ‘animal-food’ (red meat, poultry, fish/seafood, eggs). In adjusted analysis, positive graded associations were found between the ‘animal-food’ pattern and both anthropometric risk factors. Moderate intake of the ‘cereals–savoury foods’ pattern was associated with reduced odds of obesity and central obesity.

Distinct dietary patterns were identified in a large Indian sample, which were different from those identified in previous literature. A clear ‘plant food-based/animal food-based pattern’ dichotomy emerged, with the latter being associated with higher odds of anthropometric risk factors. Longitudinal studies are needed to further clarify this relationship in India.

To study the impact of migration on food consumption among Indian factory workers and their siblings and spouses.

A cross-sectional study was conducted to assess diet using an interviewer-administered semi-quantitative FFQ from which intake of 184 commonly consumed food items was obtained.

Participants recruited from factory sites in Bangalore, Lucknow, Nagpur and Hyderabad.

The sample comprised 7049 participants (41·6 % female), and included urban, migrant and rural groups.

Thirteen food items were eaten by the greatest proportion of individuals on a daily basis. These were all indigenous foods. The proportion of people consuming tandoori roti, dal with vegetables, potato and ghee on a daily basis was highest in the urban sample, intermediate in the migrant group and lowest in the rural group (P ≤ 0·01). The proportion of individuals consuming Western food on a weekly basis followed a similar trend.

The diet of this sample is predominantly indigenous in nature, irrespective of migration status, with the prevalence of daily Western food consumption being minimal.

To validate questionnaire-based physical activity level (PAL) against accelerometry and a 24 h physical activity diary (24 h AD) as reference methods (Protocol 2), after validating these reference methods against the heart rate–oxygen consumption (HRVO2) method (Protocol 1).

Cross-sectional study.

Two villages in Andhra Pradesh state and Bangalore city, South India.

Ninety-four participants (fifty males, forty-four females) for Protocol 2; thirteen males for Protocol 1.

In Protocol 2, mean PAL derived from the questionnaire (1·72 (sd 0·20)) was comparable to that from the 24 h AD (1·78 (sd 0·20)) but significantly higher than the mean PAL derived from accelerometry (1·36 (sd 0·20); P < 0·001). Mean bias of PAL from the questionnaire was larger against the accelerometer (0·36) than against the 24 h AD (−0·06), but with large limits of agreement against both. Correlations of PAL from the questionnaire with that of the accelerometer (r = 0·28; P = 0·01) and the 24 h AD (r = 0·30; P = 0·006) were modest. In Protocol 1, mean PAL from the 24 h AD (1·65 (sd 0·18)) was comparable, while that from the accelerometer (1·51 (sd 0·23)) was significantly lower (P < 0·001), than mean PAL obtained from the HRVO2 method (1·69 (sd 0·21)).

The questionnaire showed acceptable validity with the reference methods in a group with a wide range of physical activity levels. The accelerometer underestimated PAL in comparison with the HRVO2 method.