Utilization of Integrated Child Development Services (ICDS) and its linkages with undernutrition in India.

The Integrated Child Development Services (ICDS) programme has been the central focus of the POSHAN Abhiyaan to combat maternal and child malnutrition under the national nutrition mission in India. This paper examined the linkages between utilization of ICDS and underweight among children aged 6-59 months. The study utilized data from two recent rounds of the National Family Health Survey (NFHS-4 [2015-2016] and NFHS-5 [2019-2021]). Descriptive analyses were used to assess the change in utilization of ICDS and the prevalence of underweight at the national and state levels. Multivariable logistic regressions were performed to examine factors associated with the utilization of ICDS and underweight. Linkages between utilization of ICDS and underweight were examined using the difference-in-differences (DID) approach. Utilization of ICDS increased from 58% in 2015-2016 to 71% in 2019-2021. The prevalence of underweight decreased from 37% to 32% in the same period. Changes in ICDS utilization and underweight prevalence varied considerably across states, socioeconomic and demographic characteristics. Results from decomposition of DID models suggest that improvements in ICDS explained 9%-12% of the observed reduction in underweight children between 2016 and 2021, suggesting that ICDS made a modest but meaningful contribution in addressing undernutrition among children aged 6-59 months in this period.

Concurrent Undernutrition and Overnutrition within Indian Families between 2006 and 2021.

Background: The double burden of malnutrition (DBM), characterized by concurrent undernutrition and overnutrition, is a growing global concern. Families share resources and eating behaviors and programs often target households, yet evidence of the DBM at the family level is scarce. Objectives: This study examined trends and inequality in the intrahousehold DBM in India between 2006 and 2021. Methods: Data were from 3 waves of India's National Family Health Survey (NFHS 2006, 2016, and 2021). We examined 3 types of household member (with children aged <5 y) combinations: mother-child (N = 328,039 across 3 waves), father-child, and parent (mother and father)-child (N = 47,139 for each pair). The DBM was defined as one or more individuals with undernutrition (either wasting or stunting in children or underweight in adults) and one or more overweight individuals within the same household. DBM was examined over time, at national and subnational levels, and by residence and wealth. Results: Nearly all DBM was in the form of an overweight parent and an undernourished weight or stunted child. The prevalence of parent-child DBM increased from 15% in 2006 to 26% in 2021. Father-child pairs experienced the most rapid DBM increase, from 12% in 2006 to 22% in 2021, an 83% increase, driven by increasing overweight among men. In 2021, the DBM was highest in North-Eastern and Southern states, and among relatively rich households from urban areas. The increase in the DBM was faster in rural areas and among poor households compared with that in urban areas and rich households. Urban-rural and rich-poor inequalities in the DBM have decreased over time. Conclusions: The intrahousehold DBM has increased over time, affecting 1 in 4 households in India in 2021. Family-based interventions that can simultaneously address child underweight and parent overweight are required to address India's increasing intrahousehold DBM.

Cultural and Contextual Drivers of Triple Burden of Malnutrition among Children in India.

This study examines malnutrition's triple burden, including anaemia, overweight, and stunting, among children aged 6-59 months. Using data from the National Family Health Survey-5 (2019-2021), the study identifies risk factors and assesses their contribution at different levels to existing malnutrition burden. A random intercept multilevel logistic regression model and spatial analysis are employed to identify child, maternal, and household level risk factors for stunting, overweight, and anaemia. The study finds that 34% of children were stunted, 4% were overweight, and 66% were anaemic. Stunting and anaemia prevalence were higher in central and eastern regions, while overweight was more prevalent in the north-eastern and northern regions. At the macro-level, the coexistence of stunting, overweight, and anaemia circumstantiates the triple burden of childhood malnutrition with substantial spatial variation (Moran's I: stunting-0.53, overweight-0.41, and anaemia-0.53). Multilevel analysis reveals that child, maternal, and household variables play a substantial role in determining malnutrition burden in India. The nutritional health is significantly influenced by a wide range of determinants, necessitating multilevel treatments targeting households to address this diverse group of coexisting factors. Given the intra-country spatial heterogeneity, the treatment also needs to be tailor-made for various disaggregated levels.

Political determinants of health: (re) examining the role of governance in reducing maternal mortality.

Given change in the universal developmental agenda and the quality of governance in the last two decades, this paper re-examines the relationship between governance, health expenditure and maternal mortality using panel data for 184 countries from 1996 to 2019. By employing the 'dynamic panel data regression model', the study reveals that a one-point improvement in the governance index decreases maternal mortality by 10-21%. We also find that good governance can better translate health expenditure into improved maternal health outcomes through effective allocation and equitable distribution of available resources. These results are robust to alternative instruments, alternative dependent variables (such as infant mortality rate and life expectancy), estimation by different governance dimensions and at the sub-national level. Additional findings using 'Quantile regression' estimates show that the quality of governance matters more than the health expenditure in countries with a higher level of maternal mortality. While the 'Path regression' analysis exhibits the specific direct and indirect mechanisms through which the causal inference operates between governance and maternal mortality.

Chronic non-communicable disease burden among reproductive-age women in India: evidence from recent demographic and health survey.

BACKGROUND: Chronic disease burden among women leads to various detrimental consequences, impacting women's health throughout their life course and off-springs. The present study explores the chronic disease profile among reproductive-aged women and analyzes the effects of various covariates on multimorbidity among reproductive-aged women in India. Here, multimorbidity is defined as an individual suffering from two or more chronic conditions. METHODS: The present study employed the most recent National Family Health Survey round, 2019-2021. The study utilized information on 695,707 non-pregnant women aged 15-49 years. The study used descriptive, bivariate, and multivariable ordered logistic regression analysis to explore the burden of chronic non-communicable diseases and multimorbidity. RESULTS: The mean age of women with single chronic condition-related morbidity is 30 years, whereas it was 35 years for those with multimorbidity. Approximately 28% of urban women suffered from multimorbidity. Further, significant factors that affect multimorbidity include age, educational attainment, working status, marital status, parity, menopause, religion, region, wealth index, tobacco use, alcohol consumption, and dietary patterns. CONCLUSIONS: The present study hints that women in the reproductive age group are at very high risk of developing multimorbidity in India. Most of the programs and policies are focused on the elderly population in terms of awareness and facilitating them with better health services. However, right now, one should also prioritize the emerging chronic condition related to chronic conditions other than hypertension, diabetes, and cancer among the study population, which is escalating as soon as women reach 30 years of age.

Social determinants of diabesity and its association with multimorbidity among older adults in India: a population-based cross-sectional study.

OBJECTIVES: India, a major contributor to the global diabetes burden, is witnessing a simultaneous epidemic of obesity leading to rise in diabesity. Diabesity, the coexistence of diabetes and obesity in an individual, has emerged as a risk factor for other morbidities and hence, multimorbidity. Although diabesity has long been recognised, still, there is a poor understanding of its social determinants in India, necessary for its control. We aimed to estimate and compare the prevalence and identify social determinants of obesity, diabetes and diabesity; explore their association with other selected non-communicable diseases (NCDs) multimorbidity; and assess its outcomes among adults aged ≥45 years. DESIGN AND SETTING: We undertook an observational analyses employing nationally representative data from Longitudinal Ageing Study in India, 2017-2018. PARTICIPANTS: This study was conducted among n=59 073 respondents. OUTCOME MEASURES: Descriptive analysis was conducted among n=59 073 respondents to determine prevalence of diabetes, obesity and diabesity. The social determinants were assessed using multinomial regression, reported as adjusted relative risk ratio (RRR). A multiple correspondence analysis generated life satisfaction. RESULTS: The prevalence of obesity, diabetes, and diabesity was 21.2%, 6%, and 5.8%, respectively. We identified women (RRR: 2.16 (1.72 to 2.71)), urban residents (RRR: 3.73 (3.07 to 4.54)) and affluent groups (RRR: 3.60 (2.46 to 4.58)) had a higher likelihood of having diabesity. The association with various NCDs showed multimorbidity to be akin to the diabesity group. We observed inferior life satisfaction and significantly higher healthcare utilisation among participants with diabesity as compared with other two groups. CONCLUSION: Increased obesity prevalence has led to the rise in diabesity in India. Additionally, the level of multimorbidity in this group cannot be overlooked. Rather than focusing on individual conditions, an in toto approach to multimorbidity is warranted.

Identifying non-communicable disease multimorbidity patterns and associated factors: a latent class analysis approach.

OBJECTIVE: In the absence of adequate nationally-representative empirical evidence on multimorbidity, the existing healthcare delivery system is not adequately oriented to cater to the growing needs of the older adult population. Therefore, the present study identifies frequently occurring multimorbidity patterns among older adults in India. Further, the study examines the linkages between the identified patterns and socioeconomic, demographic, lifestyle and anthropometric correlates. DESIGN: The present findings rest on a large nationally-representative sample from a cross-sectional study. SETTING AND PARTICIPANTS: The study used data on 58 975 older adults (45 years and older) from the Longitudinal Ageing Study in India, 2017-2018. PRIMARY AND SECONDARY OUTCOME MEASURES: The study incorporated a list of 16 non-communicable diseases to identify commonly occurring patterns using latent class analysis. The study employed multinomial logistic regression models to assess the association between identified disease patterns with unit-level socioeconomic, demographic, lifestyle and anthropometric characteristics. RESULTS: The present study demonstrates that older adults in the country can be segmented into six patterns: 'relatively healthy', 'hypertension', 'gastrointestinal disorders-hypertension-musculoskeletal disorders', 'musculoskeletal disorders-hypertension-asthma', 'metabolic disorders' and 'complex cardiometabolic disorders'. Additionally, socioeconomic, demographic, lifestyle and anthropometric factors are significantly associated with one or more identified disease patterns. CONCLUSIONS: The identified classes 'hypertension', 'metabolic disorders' and 'complex cardiometabolic disorders' reflect three stages of cardiometabolic morbidity with hypertension as the first and 'complex cardiometabolic disorders' as the last stage of disease progression. This underscores the need for effective prevention strategies for high-risk hypertension group. Also, targeted interventions are essential to reduce the burden on the high-risk population and provide equitable health services at the community level.

Profile of comorbidity and multimorbidity among women attending antenatal clinics: An exploratory cross-sectional study from Odisha, India.

Background: Multimorbidity is being recognized as a crucial maternal health challenge in India. However, pregnancy remains an exclusion criterion in most multimorbidity estimation studies resulting in a deficient understanding of the problem in this population. The present study aims to estimate the prevalence of multimorbidity, identify its correlates, and assess healthcare utilization and expenditure outcomes among women availing of antenatal care clinics. Methods: An exploratory cross-sectional study was conducted among 127 pregnant women attending three antenatal clinics of Bhubaneswar, Odisha, from February to July 2016. Data were collected using a "multimorbidity assessment questionnaire for primary care," contextualized for antenatal settings. The prevalence and correlates were determined using descriptive analysis, and the outcomes were measured by the number of healthcare visits, medications, and healthcare expenditure. About 15% of antenatal women were multimorbid. Result: Anemia (52.6%), hypertension (31.6%), acid-peptic diseases (26.3%), and thyroid (26.3%) were the leading chronic conditions. Statistically, significant association was found between multimorbidity and medical consultation, the medicines consumed, and functional limitation. The healthcare expenditure was significantly higher among the multimorbidity groups. Conclusion: Our findings suggest the inclusion of comprehensive multimorbidity assessment in routine antenatal screening. Preconception care should establish linkages between maternal and reproductive health with chronic disease prevention, and identify ways to reduce healthcare utilization and expenditure. Longitudinal studies to assess the trajectory and impact of multimorbidity on maternal and infant health are warranted.

Emerging multimorbidity patterns and their links with selected health outcomes in a working-age population group.

Background: The study aims to identify recurrent multimorbidity pattern among individuals in the age-group 15-64 years. Further, the study examines the association of these identified patterns with sociodemographic variables and selected health outcomes. Methods: The study utilized data on 2912 individuals in the age-group 15-64 years collected under the burden of diseases study among patients attending public health care settings of Odisha. A latent class analysis was used to identify commonly occurring disease clusters. Results: The findings suggested that 2.4% of the individuals were multimorbid. Two latent disease clusters were identified, low co-morbidity and Hypertension-Diabetes-Arthritis. Findings highlighted that age, belonging to a non-aboriginal ethnicity and urban area increased the risk of being in the 'Hypertension-Diabetes-Arthritis' group. Furthermore, 50% of the individual in the 'Hypertension-Diabetes-Arthritis' group reported poor quality of life, whereas 30% reported poor self-rated health compared to only 11% by their counterparts. Additionally, the mean health score reported by the individuals in the 'Hypertension-Diabetes-Arthritis' group was 39.9 compared to 46.9 by their counterparts. Conclusions: The study findings hint towards increasing burden of multimorbidity among the working age population, which depicts a shift in causation of diseases as a result of which preventive measures also need to be taken much prior.

Multimorbidity among midlife women in India: well-being beyond reproductive age.

BACKGROUND: Currently, inequality in life expectancy across gender makes women outlive men. Adult women transit towards menopause around midlife accompanied by a series of natural physiological changes leading to several conditions such as osteoporosis, depression, and urinary incontinence, which puts them at a higher risk of having multimorbidity. Multimorbidity is often associated with poorer quality of life, leading to deteriorated work productivity and associated economic loss in midlife. Hence, this study aimed to determine the magnitude and correlates of early onset of multimorbidity and explore its linkages with health-related quality of life (HRQoL) among middle-aged women in India. METHODS: We have utilized data from the first round of the Longitudinal Ageing Study in India, 2017-19. We included women aged 45-65 years (n = 23,951) for analysis. Descriptive data were presented. An ordered logistic regression was conducted and proportional odds were reported to identify the correlates of multimorbidity. To explore the linkages between multimorbidity and selected indicators of HRQoL, an array of regression models were executed. RESULTS: Multimorbidity was reported amongst 29.8% of women in midlife. Chandigarh (PR-54.8 PER 100 women) and Punjab (PR-52.8 per 100 women) reported the highest prevalence of multimorbidity. Women with multimorbidity reported compromised HRQoL indicators such as self-rated health, work-limiting health conditions, mobility, and activities of daily living. CONCLUSIONS: Multimorbidity is increasingly prevalent in midlife women associated with inferior quality of life. The reproductive health programs for women should consist of midlife women focusing on multimorbidity and overall well-being.

Association between experiences of intimate partner sexual violence and cigarette smoking among women in union in Papua New Guinea: evidence from a nationally representative survey.

BACKGROUND: Intimate partner sexual violence (IPSV) is a prevalent public health problem affecting millions of people each year globally, particularly in developing countries like Papua New Guinea (PNG). Although over two-thirds of women in PNG are estimated to experience some form of sexual violence in their lifetime, empirical evidence is limited on the association between IPSV and cigarette smoking. Thus, the present study aims to examine the prevalence of IPSV and its association with cigarette smoking among women in union  in PNG. METHODS: This cross-sectional study used data from the first demographic and health survey of PNG conducted between 2016 and 2018. A total of 9,943 women aged 15-49 years in intimate unions were included in this study. We estimated the relative risk of smoking cigarette using modified Poisson regression models with a robust variance and 95% confidence intervals. RESULTS: The rates of IPSV and current cigarette smoking were 25.9% and 26.8%, respectively. The modified Poisson regression results showed that IPSV was significantly associated with an elevated risk for cigarette smoking. Women with IPSV history were more likely to smoke cigarette relative to their counterparts with no IPSV history (RR: 1.33, 95% CI: 1.18-1.50) in the absence of covariates. After controlling for demographic, social and economic factors, the association between IPSV and cigarette smoking remained statistically significant (RR: 1.24, 95% CI: 1.08-1.42). CONCLUSIONS: The rates of IPSV and cigarette smoking among women in union in PNG in the current study were relatively high. Irrespective of diverse demographic, social and economic factors, IPSV was still significantly associated with cigarette smoking among women in union in PNG. The findings presented call the attention of policy-makers and relevant authorities in PNG to an important association that needs to be addressed. Counseling, awareness creation, service provision and program design on IPSV are urgently required to minimize cigarette smoking and IPSV among women in union in PNG.

Exploring the Linkages Between Non-Communicable Disease Multimorbidity, Health Care Utilization and Expenditure Among Aboriginal Older Adult Population in India.

Objective: The study investigates the magnitude and correlates of non-communicable disease multimorbidity and explores its linkages with health care utilization and out-of-pocket expenditure among aboriginal or tribal older adults. Methods: The study employed data on 11,365 older adults from Scheduled Tribes from the Longitudinal Ageing Study in India, 2017-18. A disease score was computed integrating sixteen non-communicable diseases. Descriptive, bivariate, and multivariable analyses were performed to identify the magnitude and correlates of multimorbidity. The study further explored the linkages between selected diseases and multimorbidity with health care utilization and expenditure. Results: The findings suggest that 27.1 and 14.5% of the aboriginal population lived with single or multiple disease, respectively. Hypertension and gastrointestinal disorders were frequent diseases. Higher age, Muslim religion, higher education, unemployment, and affluent background were the major correlates of multimorbidity. Health care utilization, mean expenditure on hospitalization, and outpatient visits increased significantly with multimorbidity. Conclusion: Multimorbidity is emerging as a health care challenge among the aboriginal population. Measures need to be taken to assess the multimorbidity burden and reduce health care expenditure, ensuring health equity among country's vulnerable population.

Quantifying population level hypertension care cascades in India: a cross-sectional analysis of risk factors and disease linkages.

BACKGROUND: Hypertension is associated with higher morbidity and mortality burden, and is reported to pose severe repercussions on those above the age of 60 years. Despite the growing concern, empirical evidence providing nationally representative estimates of hypertension care cascades for the elderly population are inadequate in India. Therefore, the present study aims to quantify the magnitude of hypertension care cascades, identify the co-morbidities attributed to hypertension and recognize lifestyle modifications to reduce the instances of uncontrolled blood pressure among the elderly population in India. METHOD: This study employed data on 28,109 elderly individuals from the Longitudinal Ageing Study in India, 2017-18. Descriptive and multivariable analyses were performed to identify the burden and correlates of hypertension and uncontrolled blood pressure levels. Population Attributable Risk was computed to identify deteriorating health implications and recognize viable solutions to improve the situation. RESULTS: The findings suggest that elderly experiences loss at all stages of hypertension care, namely, at the level of measured hypertension (72.5%), diagnosis/awareness (57.3%), treatment (50.5%), and control (27.5%). The highest dip was observed at the level of blood pressure control. The findings hint towards the linkages between socio-economic, demographic, and lifestyle factors with hypertension and uncontrolled blood pressure levels. Caste, religion, living arrangement, MPCE quintile, residence, family history of hypertension, working status, and alcohol consumption were the significant predictors of uncontrolled hypertension. The findings quantified the proportion of diseased cases attributed to hypertension, and highlighted essential contributors of overall and uncontrolled hypertension. CONCLUSIONS: There is an urgent need to improve access to cost-effective anti-hypertensive prescriptions to curtail the increasing burden of uncontrolled blood pressure and some other co-morbid diseases. Thus, if apprehended cautiously, findings from this study can serve to design practical approaches aimed at control, prevention, and management of hypertension among the elderly population of India.

Contribution of modifiable risk factors on the burden of diabetes among women in reproductive age-group in India: a population based cross-sectional study.

The diabetes burden is rapidly accelerating in India, particularly since the 2000s. We explore the burden and contribution of modifiable risk factors in diabetes among reproductive women across geographic regions of India. The study uses data from the National Family Health Survey in India 2015-2016, Census of India 2011, and World Population Prospects 2015. We computed Population Attributable Fractions and the number of total and estimated avoidable diabetic cases across regions. The prevalence of diabetic cases in India were 24.4 per 1000 women, varying across geographic regions. Diabetes affected around 8.2 million women (15-49 years) in India. Overweight (PAF = 19.5%) and obesity (PAF = 18.3%) contributed to the diabetes burden; if mitigated optimally, these can reduce diabetic cases by 2.8 million in India. Controlling diabetes should be region specific for maximum impact. Extending chronic disease screening during maternal and child health consultations might help decelerate the growing menace of diabetes in the country.

Patterns and predictors of non-communicable disease multimorbidity among older adults in India: evidence from longitudinal ageing study in India (LASI), 2017-2018.

Escalating non-communicable disease multimorbidity rates among older adults is an emerging public health concern in India, but the literature sparsely addresses the epidemiology of multimorbidity. We explore levels, patterns, combinations and predictors of multimorbidity among older adults using information on 59,764 individuals, aged 45 years and older, from the first wave of Longitudinal Ageing Study in India (LASI), 2017-2018. We computed multimorbidity score for sixteen non-communicable diseases to identify frequently occurring morbidity patterns (dyads and triads) and assess the relationship between multimorbidity and selected background characteristics. Near third of the older adult population is affected by multimorbidity, with hypertension, gastrointestinal disorders, musculoskeletal disorders, diabetes and skin diseases being the most common. Policymakers should seek strategies to increase early detection and prevention of chronic diseases, delay the age at onset of disease for those who are not affected and improve management for those affected with multiple disease conditions.

Population and sub-national (district) level diversity in missed and dropout of different doses of hepatitis-B vaccine among Indian children aged 12-59 months.

Initiating with a birth dose and a full immunization against hepatitis-B is crucial during early childhood in a country like India where maternal screening of hepatitis-B surface antigen is almost negligible and there is a considerable risk of vertical transmission among children. It is also evident that coverage of hepatitis-B is lowest among all other vaccine doses included in the universal immunization program. In addition, the major challenge is posed by the missed and drop-out of different doses of hepatitis-B among Indian children. In this context, this study examined the population and sub-national level diversity in missed and dropout of different doses of hepatitis-B vaccine in India. We analysed a large dataset of 196,654 children aged 12-59 months from a nationally representative cross-sectional survey, the National Family Health Survey (NFHS), 2015-16. Bivariate cross tabulation was used to estimate the prevalence and the dropout rates. Multivariable-adjusted logistic regression was applied to assess the likelihood of the study events. Within a Bayesian framework, a district-level spatial analysis was conducted employing the Besag-York-Mollie (BYM) Model and the Leroux Model. During 2016, 38% of the children missed the birth dose nationally and 45% of the children did not complete full immunization of hepatitis-B. Findings suggest, presence of socio-economic and demographic gradients in missed and drop-out of different doses of hepatitis-B at national level. The sub-national level spatial analysis identifies more than 280 (out of 640) districts with substantially higher risk (Posterior Median Risk>1) in terms of missed and drop-out of different doses. Most of these districts are scattered across the North-Eastern and Northern part of India. The findings hint the existence of a population and sub-national level diversity in India's missed out and dropout of hepatitis-B doses. Identifying high risk population sub-groups and the districts with children at higher risk of missing the birth and consecutive doses informs the existing knowledge base and helps in formulating community-oriented policies and programs.

Estimates and correlates of district-level maternal mortality ratio in India.

Despite the progress achieved, approximately one-quarter of all maternal deaths worldwide occur in India. Till now, India monitors maternal mortality in 18 out of its 36 provinces using information from the periodic sample registration system (SRS). The country does not have reliable routine information on maternal deaths for smaller states and districts. And, this has been a major hurdle in local-level health policy and planning to prevent avoidable maternal deaths. For the first time, using triangulation of routine records of maternal deaths under the Health Management Information System (HMIS), Census of India, and SRS, we provide Maternal Mortality Ratio (MMR) for all states and districts of India. Also, we examined socio-demographic and health care correlates of MMR using large-sample and robust statistical tools. The findings suggest that 70% of districts (448 out of 640 districts) in India have reported MMR above 70 deaths-a target set under Sustainable Development Goal-3. According to SRS, only Assam shows MMR of more than 200, while our assessment based on HMIS suggests that about 6-states (and two union territories) and 128-districts have MMR above 200. Thus, the findings highlight the presence of spatial heterogeneity in MMR across districts in the country, with spatial clustering of high MMR in North-eastern, Eastern, and Central regions and low MMR in the Southern and Western regions. Even the better-off states such as Kerala, Tamil Nadu, Andhra Pradesh, Karnataka, and Gujarat have districts of medium-to-high MMR. In order of their importance, fertility levels, the sex ratio at birth, health infrastructure, years of schooling, postnatal care, maternal age and nutrition, and poor economic status have emerged as the significant correlates of MMR. In conclusion, we show that HMIS is a reliable, cost-effective, and routine source of information for monitoring maternal mortality ratio in India and its states and districts.

Exploring the non-communicable disease (NCD) network of multi-morbid individuals in India: A network analysis.

Nationally representative evidence discussing the interplay of non-communicable diseases (diseases) are scarce in India. Therefore, the present study aims to fill this research void by providing empirical evidence on disease networking using a large nationally representative cross-sectional sample segregated by gender among older adults in India. The analysis utilized data on 10,606 multimorbid women and 7,912 multimorbid men from the Longitudinal Ageing Study in India (LASI), 2017-18. Multimorbidity was defined as the co-occurrence of two or more diseases in an individual using a list of 16 self-reported diseases. Weighted networks were visualized to illustrates the complex relationships between the diseases using network analysis. The findings suggest that women possess a higher burden of multimorbidity than men. Hypertension, musculoskeletal disorder, gastrointestinal disorder, diabetes mellitus, and skin diseases were reported as the most recurrent diseases. 'Hypertension-musculoskeletal disorder', 'diabetes mellitus-hypertension', 'gastrointestinal disorders-hypertension' and 'gastrointestinal disorders- musculoskeletal disorder' were recurrent disease combinations among the multimorbid individuals. The study generated compelling evidence to establish that there are statistically significant differences between the prevalence of diseases and how they interact with each other between women and men. These findings further accentuate that disease networks are slightly more complex among women. In totality, the study visualizes disease association, identifies the most influential diseases to the network, and those which acts as a bridge between other diseases, causing multimorbidity among the older adult population in India.

The burden of hypertension and unmet need for hypertension care among men aged 15-54 years: a population-based cross-sectional study in India.

Hypertension is one of the primary causes of morbidity and premature mortality among the working-age population in India. This study evaluated the burden of hypertension and unmet need for hypertension care among working-age men aged 15-54 years in India using data from the fourth round of the National Family Health Survey (NFHS-4, 2015-16). An individual was recognized as hypertensive if his blood pressure was over 140/90 mmHg or if he was consuming anti-hypertensive medication to lower his blood pressue. The study design was based on the Rule of Halves framework. Hypertensive cases were segmented into five analytical levels: (1) total, (2) screened, (3) diagnosed, (4) treated and (5) controlled cases. The prevalence of hypertension was 16% (n=16,254) among the men aged 15-54 years. Of the total hypertensive individuals, 63.2% (10,314) were screened, 21.5% (3428) were diagnosed, 12.6% (1862) were treated and only 6.1% (905) had controlled blood pressure. Of the screened individuals, 66.8% (6886) had never been diagnosed, 45.7% (1566) of those diagnosed had not receive treatment and 51.4% (957) of those treated still had uncontrolled blood pressure. The analyses revealed that 36.5% (5940) of hypertensive individuals were lost at the screening stage. The results demonstrate that there is a significant burden of hypertension and unmet need for hypertension care among men aged 15-54 in India. There is an urgent need to develop suitable strategies and programmes to manage this rising burden of hypertension among men, and reduce losses in the hypertension care continuum.

Biotherapeutic microbial supplementation for ameliorating fish health: developing trends in probiotics, prebiotics, and synbiotics use in finfish aquaculture.

Nutrition demands in aquaculture can be realized through quality aquafeeds as compounded diets that contribute to the growth and health of aquaculture species. Functional additives in feed, notably probiotics, prebiotics, and their admixture synbiotics, have been recently recognized for their biotherapeutic role as immunostimulants capable of conferring disease resistance, stress tolerance, and gastrointestinal health; counteracting the negative effects of anti-nutrients, pathogenic prevalence, and antimicrobials in finfish aquaculture. Formulated diets based on probiotics, prebiotics, and as a supplemental combination for synbiotics can significantly influence fish gut microbiomes, establishing the modalities of microbial dynamics to maximize host-associated benefits. These microbial functional-feed supplements are acclaimed to be biocompatible, biodegradable, and safe for dietary consumption as well as the environment. In fed fish aquaculture, prebiotic appended probiotic diet 'synbiotic' has propounded larger attention for its additional health and nutritional benefits. Synbiotic, prebiotic, and probiotic usage as functional feeds for finfish aquaculture thus provides promising prospects. Developing trends in their intended application are reviewed here forth.