Comparison of race-specific and race-neutral GLI spirometric reference equations with an Indian reference equation.

BACKGROUND: Despite the increasing popularity and use of Global Lung Function Initiative (GLI) spirometric reference equations, the appropriateness of the race-specific and race-neutral GLI spirometric reference models among the Indian population has not been systematically investigated. METHODS: In this cross-sectional analysis, we used spirometric measurements of 1123 healthy Indian adults (≥18 years of age). We computed reference values and z-scores for forced vital capacity (FVC), forced expiratory volume in 1 s (FEV1), and FEV1/FVC from race-specific and race-neutral GLI reference equations as well as from a widely used Indian reference equation. We studied heterogeneity between GLI equations and the Indian equations using Bland-Altman analysis, and the differences between the reference and observed values were compared using the Friedman test. RESULTS: In Bland-Altman analysis, significant heterogeneity in FVC and FEV1 between race-specific and Indian equations was observed (bias: 10.4 % and 14.1 %, respectively), with less bias for FEV1/FVC (3.76 %). The race-neutral equations showed almost similar bias (9.8 %, 13.8 %, and 3.8 % for FVC, FEV1, and FEV1/FVC, respectively). Median differences in race-specific reference values from observed values for FVC and FEV1 were 0.49L and 0.44L, respectively, decreasing slightly with race-neutral equations (0.46L and 0.43L) whereas Indian models showed minimal differences (FVC: 0.10L, FEV1: 0.05L). Z-scores for FVC and FEV1 were significantly different between race-specific and race-neutral GLI equations, and both differed from Indian equations. CONCLUSION: Both race-specific and race-neutral GLI reference equations are significantly different from the Indian equations, which underscores the importance of determining the suitability of global reference models before being used indiscriminately.

The acceptability of, and informational needs related to, self-collection cervical screening among women of Indian descent living in Victoria, Australia: A qualitative study.

BACKGROUND: In July 2022, self-collection became universally available as part of Australia's National Cervical Screening Program. This change aims to address screening inequities experienced among underscreened populations, including women of Indian descent. This study explored experiences of cervical screening, alongside the acceptability of self-collection, among women of Indian descent living in Victoria, Australia. We also aimed to articulate the informational needs to promote self-collection among this population. METHODS: Five focus group discussions with 39 women living in Victoria were conducted in English (n = 3) and Punjabi (n = 2). Transcripts were thematically analysed, as informed by the Theoretical Framework of Acceptability. RESULTS: Women were motivated by the choice to self-collect, perceiving the ability to maintain modesty and greater autonomy as key enablers. Healthcare practitioners were seen as central in supporting patient-centred models of care. Perceived barriers to self-collection included concerns around its accuracy and women's confidence in collecting their own sample. Widespread dissemination of culturally tailored promotion strategies communicating concepts such as 'privacy' and 'accuracy' were suggested by women to promote self-collection. CONCLUSION: Self-collection was highly acceptable among women of Indian descent, particularly when assured of its accuracy, and sociocultural norms and previous screening experiences are considered. This study highlights the huge potential that self-collection can play in increasing equity in Australia's cervical screening programme. PATIENT OR PUBLIC CONTRIBUTION: Members of the public were involved in focus group discussions. Findings were summarised and disseminated via a poster. A bicultural worker was involved in all stages of the research.

Regional Disparity and Determinants of Body Mass Index Status among Tribal Women in Eastern India.

The body mass index (BMI) is a commonly employed metric for determining the nutritional status and health risks associated with weight. Tribal women in India face neglect and discrimination in terms of livelihood, nutrition, education, wealth, and health-care access. The study examined 18,697 tribal women from Bihar, West Bengal, Jharkhand, and Odisha, using data from the National Family Health Survey-5. Multinomial logistic regression has been used to determine how the multiple background factors are associated with the BMI of tribal women. The study found that the prevalence of underweight and overweight was 28.5% and 7.6% among tribal women, respectively. Rural tribal women had a higher likelihood of being underweight, whereas urban women were more likely to be overweight. Odisha had a higher prevalence of underweight tribal women, whereas the prevalence is lower in Bihar. The higher prevalence of underweight among tribal women is alarming and necessitates a reconsideration of health infrastructure in the tribal areas.

Effect of apolipoprotein E ε4 and its modification by sociodemographic characteristics on cognitive measures in South Asians from LASI-DAD.

BACKGROUND: We investigated the effects of apolipoprotein E (APOE) ε4 and its interactions with sociodemographic characteristics on cognitive measures in South Asians from the Diagnostic Assessment of Dementia for the Longitudinal Aging Study of India (LASI-DAD). METHODS: Linear regression was used to assess the association between APOE ε4 and global- and domain-specific cognitive function in 2563 participants (mean age 69.6 ± 7.3 years; 53% female). Effect modification by age, sex, and education were explored using interaction terms and subgroup analyses. RESULTS: APOE ε4 was inversely associated with most cognitive measures (p < 0.05). This association was stronger with advancing age for the Hindi Mental State Examination (HMSE) score (ßε4×age = -0.44, p = 0.03), orientation (ßε4×age = -0.07, p = 0.01), and language/fluency (ßε4×age = -0.07, p = 0.01), as well as in females for memory (ßε4×male = 0.17, p = 0.02) and language/fluency (ßε4×male = 0.12, p = 0.03). DISCUSSION: APOE Îµ4 is associated with lower cognitive function in South Asians from India, with a more pronounced impact observed in females and older individuals. HIGHLIGHTS: APOE Îµ4 carriers had lower global and domain-specific cognitive performance. Females and older individuals may be more susceptible to ε4 effects. For most cognitive measures, there was no interaction between ε4 and education.

Quantifying variations associated with dental caries reveals disparity in effect allele frequencies across diverse populations.

BACKGROUND: Dental caries (DC) is a multifaceted oral condition influenced by genetic and environmental factors. Recent advancements in genotyping and sequencing technologies, such as Genome-Wide Association Studies (GWAS) have helped researchers to identify numerous genetic variants associated with DC, but their prevalence and significance across diverse global populations remain poorly understood as most of the studies were conducted in European populations, and very few were conducted in Asians specifically in Indians. AIM: This study aimed to evaluate the genetic affinity of effect alleles associated with DC to understand the genetic relationship between global populations with respect to the Indian context. METHODOLOGY: This present study used an empirical approach in which variants associated with DC susceptibility were selected. These variants were identified and annotated using the GWAS summary. The genetic affinity was evaluated using Fst. RESULTS: The effect of allele frequencies among different populations was examined, revealing variations in allele distribution. African populations exhibited higher frequencies of specific risk alleles, whereas East Asian and European populations displayed distinct profiles. South Asian populations showed a unique genetic cluster. CONCLUSION: Our study emphasises the complex genetic landscape of DC and highlights the need for population-specific research as well as validation of GWAS-identified markers in Indians before defining them as established candidate genes.

Waiting for Care and Community Organizing for Serious Health-Related Suffering in Kerala, India.

We explore the temporalities that shape and alleviate serious health-related suffering among those with chronic and terminal conditions in Kerala, India. Drawing on ethnographic fieldwork between 2009 and 2019, we examine the entanglements between waiting for care within dominant institutions and the community organizing that palliates this waiting. Specifically, people navigate multiple medical institutions, experience loneliness and abandonment, loss of autonomy, and delays and denials of recognition as they wait for care. Community palliative care organizations offering free, routine, home-based care provide samadhanam (peace of mind) and swatantrayam (self-determination) in lifeworlds mired with chronic waiting. We document how community care sustains an alternative politics of shared time, untethered from marketized notions of efficiency and productivity toward profits. In so doing, we cast in high relief community healthcare imaginaries that alleviate serious health-related suffering and reconfigure Global North-centric perspectives.

Understanding the social identity of adolescents in the Indigenous Kodava Community of India.

The social identity development of adolescents in marginalized communities across the globe holds paramount significance in determining the overall well-being of its future population. Focusing on one such community, the Kodavas, an Indigenous community in South India, this study aims to understand the shifting configurations of social identity based on the changing sociocultural structure and its implications on identity perception among the adolescents belonging to the Kodava community in Kodagu district in Karnataka, India. This study used a qualitative research design to develop an analytical framework of social identity formation and its transitions in the context of the Kodavas. Data were collected from 188 adolescents (47% boys, 53% girls) between 13 and 17 years (M age = 15 years), in the form of essay writing. The findings based on thematic analysis highlight the core traditional elements of Kodava identity, factors influencing the transition in identity, and its reflection in the contemporary period.

Distinct positions of genetic and oral histories: Perspectives from India.

Over the past decade, genomic data have contributed to several insights on global human population histories. These studies have been met both with interest and critically, particularly by populations with oral histories that are records of their past and often reference their origins. While several studies have reported concordance between oral and genetic histories, there is potential for tension that may stem from genetic histories being prioritized or used to confirm community-based knowledge and ethnography, especially if they differ. To investigate the interplay between oral and genetic histories, we focused on the southwestern region of India and analyzed whole-genome sequence data from 156 individuals identifying as Bunt, Kodava, Nair, and Kapla. We supplemented limited anthropological records on these populations with oral history accounts from community members and historical literature, focusing on references to non-local origins such as the ancient Scythians in the case of Bunt, Kodava, and Nair, members of Alexander the Great's army for the Kodava, and an African-related source for Kapla. We found these populations to be genetically most similar to other Indian populations, with the Kapla more similar to South Indian tribal populations that maximize a genetic ancestry related to Ancient Ancestral South Indians. We did not find evidence of additional genetic sources in the study populations than those known to have contributed to many other present-day South Asian populations. Our results demonstrate that oral and genetic histories may not always provide consistent accounts of population origins and motivate further community-engaged, multi-disciplinary investigations of non-local origin stories in these communities.

Visceral-to-peripheral adiposity ratio: a critical determinant of sex and ethnic differences in cardiovascular risks among Asian Indians and African Creoles in Mauritius.

BACKGROUND/AIMS: Coronary heart disease morbidity and mortality are higher in people of South Asian origin than in those of African origin. We investigated whether as young adults without diabetes, people in Mauritius of South Asian descent (Indians) would show a more adverse cardiovascular risk profile that those of predominantly African descent (Creoles), and whether this could be explained by ethnic differences in visceral adiposity or other fat distribution patterns. METHODS: The study was conducted in 189 young non-physically active adults, with the following measurements conducted after an overnight fast: anthropometry (weight, height, waist circumference), whole-body and regional body composition by dual-energy x-ray absorptiometry, blood pressure, and blood assays for glycemic (glucose and HbA1c) and lipid profile (triglycerides and cholesterols). RESULTS: The results indicate higher serum triglycerides and lower HDL cholesterol in men than in women, and in Indians than in Creoles (p < 0.001). No significant differences due to sex or ethnicity are observed in body mass index and waist circumference, but indices of visceral adiposity (visceral/android, visceral/subcutaneous) and visceral-to-peripheral adiposity ratio (visceral/gynoid, visceral/limb) were significantly higher in men than in women, and in Indians than in Creoles. The significant effects of sex and ethnicity on blood lipid profile were either completely abolished or reduced to a greater extent after adjusting for the ratio of visceral-to-peripheral adiposity than for visceral adiposity per se. CONCLUSIONS: In young adults in Mauritius, Indians show a more adverse pattern of body fat distribution and blood lipid risk profile than Creoles. Differences in their fat distribution patterns, however, only partially explain their differential atherogenic lipid risk profile, amid a greater impact of visceral-to-peripheral adiposity ratio than that of visceral adiposity per se on sex and ethnic differences in cardiovascular risks; the former possibly reflecting the ratio of hazardous (visceral) adiposity and protective (peripheral) superficial subcutaneous adiposity.

Landscape of genomic structural variations in Indian population-based cohorts: Deeper insights into their prevalence and clinical relevance.

Structural variations (SV) are large (>50 base pairs) genomic rearrangements comprising deletions, duplications, insertions, inversions, and translocations. Studying SVs is important because they play active and critical roles in regulating gene expression, determining disease predispositions, and identifying population-specific differences among individuals of diverse ancestries. However, SV discoveries in the Indian population using whole-genome sequencing (WGS) have been limited. In this study, using short-read WGS having an average 42X depth of coverage, we identify and characterize 36,210 SVs from 529 individuals enrolled in population-based cohorts in India. These SVs include 24,574 deletions, 2,913 duplications, 8,710 insertions, and 13 inversions; 1.26% (456 out of 36,210) of the identified SVs can potentially impact the coding regions of genes. Furthermore, 56 of these SVs are highly intolerant to loss-of-function changes to the mapped genes, and five SVs impacting ADAMTS17, CCDC40, and RHCE are common in our study individuals. Seven rare SVs significantly impact dosage sensitivity of genes known to be associated with various clinical phenotypes. Most of the SVs in our study are rare and heterozygous. This fine-scale SV discovery in the underrepresented Indian population provides valuable insights that extend beyond Eurocentric human genetic studies.

The genetic admixture and assimilation of Ahom: a historic migrant from Thailand to India.

The Northeastern region of India is considered a gateway for modern humans' dispersal throughout Asia. This region is a mixture of various ethnic and indigenous populations amalgamating multiple ancestries. One reason for such amalgamation is that, South Asia experienced multiple historic migrations from various parts of the world. A few examples explored genetically are Jews, Parsis and Siddis. Ahom is a dynasty that historically migrated to India during the 12th century. However, this putative migration has not been studied genetically at high resolution. Therefore, to validate this historical evidence, we genotyped autosomal data of the Modern Ahom population residing in seven sister states of India. Principal Component and Admixture analyses haave suggested a substantial admixture of the Ahom population with the local Tibeto-Burman populations. Moreover, the haplotype-based analysis has linked these Ahom individuals mainly with the Kusunda (a language isolated from Nepal) and Khasi (an Austroasiatic population of Meghalaya). Such unexpected presence of widespread population affinities suggests that Ahom mixed and assimilated a wide variety of Trans-Himalayan populations inhabiting this region after the migration. In summary, we observed a significant deviation of Ahom from their ancestral homeland (Thailand) and extensive admixture and assimilation with the local South Asian populations.

Religiosity, Aging in the Homeland, and Growing Old in the Diaspora: A Longitudinal Study of Two Cohorts of Indian Older Adults.

This article reports a longitudinal study comparing religiosity among two cohorts of Indian older adults-those who age in the homeland of India (AIH cohort) and immigrants (to the USA) or diaspora older adults (DOA). Results indicated that AIH and DOA cohorts' religiosity outcomes were comparable at baseline but there was a statistically significant increase in all outcomes of the DOA cohort at subsequent time points. Women and single older adults in both the cohorts had higher religiosity scores at baseline. Religiosity scores were higher among those in the DOA cohort who migrated following marital disruption (widowhood, divorce) or grandchild birth and lived with adult immigrant children and their families. The immigration process can have an impact on religious orientation of older adults and place is a significant variable impacting religiosity possibly for augmenting the sense of self, acquire social capital and preserve cultural identity in the foreign land.

A Glossary of Distress Expressions Among Kannada-Speaking Urban Hindu Women.

People's lived experiences of distress are complex, personal, and vary widely across cultures. So, too, do the terms and expressions people use to describe distress. This variation presents an engaging challenge for those doing intercultural work in transcultural psychiatry, global mental health, and psychological anthropology. This article details the findings of a study of common distress terminology among 63 Kannada-speaking Hindu women living in Mysuru, the second largest city in the state of Karnataka, South India. Very little existing scholarship focuses on cultural adaptation for speakers of Dravidian languages like Kannada; this study aims to fill this gap and support greater representation of this linguistic family in research on mental health, idioms of distress, and distress terminology. Between 2018 and 2019, we conducted a 3-phase study consisting of interviews, data reduction, and focus group discussions. The goal was to produce a non-exhaustive list of common Kannada distress terms that could be used in future research and practice to translate and culturally adapt mental health symptom scales or other global mental health tools.

Utilization of Traditional Complementary and Alternative Medicine Across Ethnically Diverse Asian Americans.

We conducted an analysis to identify factors influencing the use of traditional complementary and alternative medicine (TCAM), with a particular emphasis on ethnic variations. Using the 2015 Asian American Quality of Life survey (N = 2,609), logistic regression analyses were performed, considering acculturation, health status, healthcare accessibility/utilization, and socio-demographic factors. Ethnicity, specifically being Chinese or Korean Americans, having chronic medical conditions, experiencing unmet healthcare needs, and having regular check-ups were significant predictors of TCAM use among Asian Americans as a whole. However, when we delved into sub-ethnic groups, different patterns were found. Among Vietnamese and Filipino Americans, having unmet healthcare needs emerged as the most prominent predictor of TCAM use. Furthermore, acculturation level and English proficiency were significant in predicting Vietnamese and Filipino Americans' TCAM use, with the direction varying by sub-ethnicity. Being old emerged as a predictor of TCAM use for Chinese, Indian, Korean, and 'other' Americans. Our findings underscore the importance of adopting an ethnically sensitive approach when addressing the healthcare needs of diverse Asian American populations.

Cultural Considerations in Healthcare for Older Asian Indian US Adults.

Approximately 4.8 million Asian Indians were documented by the US Census Bureau in 2023. Members of this population follow different religious practices, speak a multitude of languages, and belong to different socioeconomic classes. Asian Indians immigrated to this country in different waves, leading to transgenerational diversity. Immigration, financial, religious, and cultural factors uniquely impact how Asian Indians interact with their healthcare providers. Asian Indians have settled throughout the country, and it is important that clinicians familiarize themselves with the specific health concerns that affect this rapidly growing population.

Indian immigrants' constructions of mental health and mental illness in the perinatal period: A qualitative study.

AIM: The aim of this study is to explore how immigrant women and men from India construct mental health and mental illness in the perinatal period. DESIGN: Qualitative interpretive design. METHODS: Data were collected by conducting in-depth interviews with 19 participants. Photo elicitation, free listing and pile sorting were used during the interviews. Purposive sampling was used, and data were collected in 2018 and 2019. Data were analysed using thematic analysis. FINDING/RESULTS: One major theme and three subthemes were identified. 'We do not talk about it' was the major theme and the subthemes: (1) 'living peacefully and feeling happy' described the views on mental health; (2) 'that's the elephant in the room still' captures how participants felt when talking about mental illness; and (3) 'why don't we talk about it' offers reasons why the Indian community does not talk about mental health and illness. CONCLUSION: The findings of this study have highlighted the importance of understanding the impact of immigration and being culturally sensitive when assessing mental health in the perinatal period. IMPACT: The findings of this study identify some of the reasons for non-disclosure of mental health issues by immigrants. Incorporating these findings during psychosocial assessment by health professionals in the perinatal period will help translate the cultural aspects into more effective communication. PATIENT OR PUBLIC CONTRIBUTION: Patient and public contribution to the study was provided by the Community Stakeholders Group; these were members of the immigrant community from India who had expertise in mental health. They contributed to the study design and the key terms and phrases for the free list used in interviews.

Entwined African and Asian genetic roots of medieval peoples of the Swahili coast.

The urban peoples of the Swahili coast traded across eastern Africa and the Indian Ocean and were among the first practitioners of Islam among sub-Saharan people1,2. The extent to which these early interactions between Africans and non-Africans were accompanied by genetic exchange remains unknown. Here we report ancient DNA data for 80 individuals from 6 medieval and early modern (AD 1250-1800) coastal towns and an inland town after AD 1650. More than half of the DNA of many of the individuals from coastal towns originates from primarily female ancestors from Africa, with a large proportion-and occasionally more than half-of the DNA coming from Asian ancestors. The Asian ancestry includes components associated with Persia and India, with 80-90% of the Asian DNA originating from Persian men. Peoples of African and Asian origins began to mix by about AD 1000, coinciding with the large-scale adoption of Islam. Before about AD 1500, the Southwest Asian ancestry was mainly Persian-related, consistent with the narrative of the Kilwa Chronicle, the oldest history told by people of the Swahili coast3. After this time, the sources of DNA became increasingly Arabian, consistent with evidence of growing interactions with southern Arabia4. Subsequent interactions with Asian and African people further changed the ancestry of present-day people of the Swahili coast in relation to the medieval individuals whose DNA we sequenced.

A Hospital-based Observational Study of Newly diagnosed Sthula Prameha Subjects with special reference to type 2 Diabetes Mellitus from Maharashtra, India

Abstract The aim of this study is to provide a real picture of the disease burden of Prameha in society. The study was performed in Government Ayurved College and Hospital, Nagpur, Maharashtra during Oct 2015-Mar 2016. Total 60 patients of newly diagnosed type 2 diabetes mellitus attending the Kayachikitsa Opd of GAC Nagpur were included for the study. The subjects details were recorded in case report form. The CRF included many variables such as sociodemographic factors, presenting symptoms, risk factors such as hypertension, obesity and glycaemic status, family history of diabetes and physical activity. Other parameters like BMI, glycosylated haemoglobin, fasting and post prandial blood sugar and fasting lipid profile were documented. Descriptive and bivariate analyses were carried out using the XLSTAT software (2020). Amongst 60 subjects, 65% were male and 93.3% were adults. 78% of subjects were following sedentary lifestyle and 40% had family history of diabetes. The results revealed that, obesity, family history of diabetes, uncontrolled glycemic status, sedentary lifestyles, and hypertension were prevalent among the Prameha subjects. The characterization of this risk profile and early detection of prameha by observing poorvarupa will contribute to designing more effective and specific strategies for screening and controlling Prameha in Maharashtra, India.

Social disadvantage, economic inequality, and life expectancy in nine Indian states.

SignificanceIndia is one of the most hierarchical societies in the world. Because vital statistics are incomplete, mortality disparities are not quantified. Using survey data on more than 20 million individuals from nine Indian states representing about half of India's population, we estimate and decompose life expectancy differences between higher-caste Hindus, comprising other backward classes and high castes, and three marginalized social groups: Adivasis (indigenous peoples), Dalits (oppressed castes), and Muslims. The three marginalized groups experience large disadvantages in life expectancy at birth relative to higher-caste Hindus. Economic status explains less than half of these gaps. These large disparities underscore parallels between diverse systems of discrimination akin to racism. They highlight the global significance of addressing social inequality in India.

Indian genetic heritage in Southeast Asian populations.

The great ethnolinguistic diversity found today in mainland Southeast Asia (MSEA) reflects multiple migration waves of people in the past. Maritime trading between MSEA and India was established at the latest 300 BCE, and the formation of early states in Southeast Asia during the first millennium CE was strongly influenced by Indian culture, a cultural influence that is still prominent today. Several ancient Indian-influenced states were located in present-day Thailand, and various populations in the country are likely to be descendants of people from those states. To systematically explore Indian genetic heritage in MSEA populations, we generated genome-wide SNP data (using the Affymetrix Human Origins array) for 119 present-day individuals belonging to 10 ethnic groups from Thailand and co-analyzed them with published data using PCA, ADMIXTURE, and methods relying on f-statistics and on autosomal haplotypes. We found low levels of South Asian admixture in various MSEA populations for whom there is evidence of historical connections with the ancient Indian-influenced states but failed to find this genetic component in present-day hunter-gatherer groups and relatively isolated groups from the highlands of Northern Thailand. The results suggest that migration of Indian populations to MSEA may have been responsible for the spread of Indian culture in the region. Our results also support close genetic affinity between Kra-Dai-speaking (also known as Tai-Kadai) and Austronesian-speaking populations, which fits a linguistic hypothesis suggesting cladality of the two language families.