Latent class analysis of chronic disease co-occurrence, clustering and their determinants in India using Study on global AGEing and adult health (SAGE) India Wave-2.

Background: Understanding chronic disease prevalence, patterns, and co-occurrence is pivotal for effective health care planning and disease prevention strategies. In this paper, we aimed to identify the clustering of major non-communicable diseases among Indian adults aged ≥50 years based on their self-reported diagnosed non-communicable disease status and to find the risk factors that heighten the risk of developing the identified disease clusters.

Methods: We utilised data from the nationally representative survey Study on Global AGEing and Adult Health (SAGE Wave-2).

Key drivers of hysterectomy among women of reproductive age in three states in India: comparative evidence from NFHS-4 and NFHS-5.

Purpose: According to the 4th and 5th rounds of National Family Health Survey (NFHS), there is high prevalence of hysterectomies in the three states of Andhra Pradesh Telangana and Bihar. The three said states have more than double the number of hysterectomies taking place than the national average. Our purpose is to analyse whether these rates are increasing, decreasing or have stabilized and their reasons thereof.

Sociodemographic correlates of discrimination against PLHIV in High HIV prevalence states of India, NFHS 2016-21.

This study investigates the socio-demographic correlates of HIV discrimination among individuals aged 15-49 years. This study also aims to assess the change in discriminatory attitudes towards PLHIV in high HIV prevalence states from 2016 to 2021 using data from the national Demographic Health Survey (4th and 5th). To identify factors associated with discriminatory attitudes, a multivariable logistic regression analysis was performed.

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.

Obesogenic diet and metabolic syndrome among adolescents in India: data-driven cluster analysis.

Background: Metabolic syndrome is on the rise in India and is primarily linked to obesogenic dietary habits. The synergy of both is a prominent risk factor for cardiovascular diseases (CVDs). Hence, the present study aims to unveil clusters at high risk of metabolic syndrome and ascertain cluster characteristics based on dietary patterns among adolescents aged 10-19 years.

Decomposing the Gap in Contraceptive Use Among Female Adolescents and Young Women Aged 15-24 in India: An Analysis of Appended Datasets of NFHS-4 and 5.

Purpose: Owing to the reproductive health needs of the budding adolescent and young population, the present study aims to determine the factors associated with and decomposing the gap in contraceptive use among adolescents and young women in India.

Design: Cross sectional design.SettingThe present study is based in India using the appended datasets (IV and V rounds) of the Indian Demographic Health Survey (DHS), also known as National Family Health Survey (NFHS) conducted in 2015-16 and 2019-21.

The burden of unintended pregnancies among Indian adolescent girls in Bihar and Uttar Pradesh: findings from the UDAYA survey (2015-16 & 2018-19).

Background: Unintended pregnancy severely affects the health and welfare of women and children, specifically if women are young and vulnerable. This study aims to determine the prevalence of unintended pregnancy and its determinants among adolescent girls and young adult females in Bihar and Uttar Pradesh. We believe the present study is unique as it examines the association between unintended pregnancy and sociodemographic factors among young female population in two states of India from 2015-19.

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.

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.

Effectiveness of modular approach in ensuring data quality in large-scale surveys: Evidence from National Family Health Survey - 4 (2015-2016).

This study aims to examine the effect of administration of shorter and longer versions of questionnaires on key indicators such as age displacement, birth displacement, age heaping, and skipping questions on antenatal care (ANC) visits and use of contraceptive methods in India using National Family Health Survey (NFHS)-4 data. At the individual level, the effect of the adoption of the shorter and longer versions of the questionnaires on the age displacement of women and children and skipping of the key questions is insignificant. However, the results from the two-level logistic regression model reveal that at the primary sampling unit (PSU) level, work pressure, depending on the number of eligible women in a household, emerges as a confounder in skipping certain questions, namely ANC [1.

Inconsistency in prevalence of hypertension based on self-reports and use of standard tests: Implications for large scale surveys.

Objective: Biomarkers are increasingly integrated into population-based surveys to provide reliable estimates of the prevalence of specific diseases. The Demographic and Health Surveys have recently incorporated blood pressure measurements; however, little is known about the extent of agreement between measured and reported levels of hypertension in India. The objective of this study was to examine the extent of agreement between self-reported hypertension and the results of standard blood pressure measurements, as well as to explore the risk groups and factors associated with inconsistencies in self-reported and biomedically measured hypertension.

Quantifying the burden of lipid anomalies among adolescents in India.

Background: The present study's aim is to quantify the burden of lipid abnormalities (excessive non-high-density lipoprotein (non-HDL) cholesterol and low-density lipoprotein (LDL) cholesterol) among Indian adolescents. Which has emerged as a significant covariate of coronary heart disease (CHD).

Methods: The present study aims to unearth the prevalence of any lipid anomalies, their level, and types of lipid profiles among adolescents in India using the Comprehensive National Nutrition Survey 2016-18 i.

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.

Socioeconomic inequalities in contraceptive use among female adolescents in south Asian countries: a decomposition analysis.

Background: Contraceptive knowledge and use has been an emerging topic of interest in adolescents in Asia. This study quantified the contribution of the socioeconomic determinants of inequality in contraceptive use among currently married female adolescents (15-24) in four south Asian countries: India, Bangladesh, Nepal and Pakistan.

Data And Methods: The data of Demographic Health Survey (DHS) for four South Asian countries, i.

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.

Temporal dynamics, patterns and correlates of single and multimorbidity in India, 1994-2018.

Objective: As a consequence of the epidemiological transition, multimorbidity has been identified as a critical public health challenge in India. The majority of the studies in the domain are grounded on hospital-based data or are based on small sample size, findings from which can only be generalized to a specific sub-group. These studies recommend exploring multimorbidity holistically at a national level to ensure adequate healthcare management 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.

Prevalence and Risk Factor of Occupational Skin Complaints among Male Tannery Workers of Kanpur, India.

Background: Occupational skin illnesses are the second most common occupational health hazard following musculoskeletal disorders. Tannery workers have frequent and prolonged exposure to skin irritants and allergens and may have a higher risk of developing occupational dermatitis.

Aims And Objectives: The aim of this study is to examine the extent of skin problems and their determinants among male tannery workers.

District-level HIV estimates using the spectrum model in five states of India, 2017.

Decentralized response has been the hallmark of the National AIDS Control Programme in India. District-level HIV burden estimates quantifying the distribution of the epidemics are needed to enhance this decentralized response further to monitor the progress on prevention, testing, and treatment interventions. In this paper, we describe the methodology and results of district-level estimates using the Spectrum model piloted in 5 states of India under National AIDS Control Programme.

Mapping changes in district level prevalence of childhood stunting in India 1998-2016: An application of small area estimation techniques.

The four rounds of National Family Health Survey (NFHS) conducted during 1992-93, 1998-99, 2005-06 and 2015-16 is main source to track the health and development related indicators including nutritional status of children at national and state level in India. Except NFHS-4, first three rounds of NFHS were unable to provides district-level estimates of childhood stunting due to the insufficient sample sizes. The small area estimation (SAE) techniques offer a viable solution to overcome the problem of small sample size.

Covariates of Multiplicity of High-Risk Sexual Behavior Among Men in India: Evidence from the Latest Indian Demographic and Health Survey.

Modern Indian society has witnessed rapid sociocultural transformation where loosening of cultural values is observed at all levels. In the era of transition, traditional norms and values are changing where young male individuals are found to be associated with high-risk multi-partner sexual behavior. Findings are based on a nationally representative sample of 45,231 and 65,704 men aged 15-54 during the period 2005-2006 and 2015-2016, respectively.

Socio-economic Correlates and Spatial Heterogeneity in the Prevalence of Asthma among Young Women in India.

Background: Asthma is one of the leading causes of disease burden when measured in terms of disability adjusted life years, despite low prevalence of self-reported cases among young women. This paper deals with the meso-scale correlates and spatial heterogeneity in the prevalence of self-reported Asthma across 640 districts in India, using a nationally representative sample of 699,686 women aged 15-49 years from all 36 States/UTs under NFHS-4 (2015-16).

Methods: Analytical methods used in this paper include multivariate logistic regression to examine the adjusted effects of various independent variables on self-reported Asthma and poor-rich ratios (PRR) and concentration index (CI) to understand the economic inequalities in the prevalence of Asthma.

Major Correlates and Socioeconomic Inequalities in Hysterectomy among Ever-Married Women in India.

Purpose: This article focuses at the prevalence of hysterectomy, its major correlates, and the socioeconomic inequalities in the prevalence of hysterectomy among women in India.

Methods: It used data from 527,865 ever-married women interviewed in 2015-2016 National Family Health Survey-4 from 601,000 households across 640 districts in the country. The economic inequalities in the prevalence of hysterectomy have been analyzed using poor-rich ratio and the concentration index (CI) in addition to the adjusted effects of major correlates through multiple logistic regression.

Linkages between Hypertension and Coronary Heart Disease in India: Evidence from India Human Development Survey-2 (2011-2012).

Background: Cardiovascular diseases (CVDs) are the leading causes of death globally (nearly 17.5 million deaths/year). Hypertension and coronary heart disease (CHD) are two of the most important CVDs.

Reliability and validity of general health questionnaire (GHQ-12) for male tannery workers: a study carried out in Kanpur, India.

Background: The purpose of this study was to test the reliability, validity and factor structure of GHQ-12 questionnaire on male tannery workers of India. We have tested three different factor models of the GHQ-12.

Methods: This paper used primary data obtained from a cross-sectional household study of tannery workers from Jajmau area of the city of Kanpur in northern India, which was conducted during January-June, 2015, as part of a doctoral program.