Risk clustering and psychopathology from a multi-center cohort of Indian children, adolescents, and young adults

Debasish Basu; Abhishek Ghosh; Chandrima Naskar; Srinivas Balachander; Gwen Fernandes; Nilakshi Vaidya; Kalyanaraman Kumaran; Murali Krishna; Gareth J Barker; Eesha Sharma; Pratima Murthy; Bharath Holla; Sanjeev Jain; Dimitri Papadopoulos Orfanos; Kartik Kalyanram; Meera Purushottam; Rose Dawn Bharath; Mathew Varghese; Kandavel Thennarasu; Amit Chakrabarti; Rajkumar Lenin Singh; Roshan Lourembam Singh; Subodh Bhagyalakshmi Nanjayya; Chirag Kamal Ahuja; Kamakshi Kartik; Ghattu Krishnaveni; Rebecca Kuriyan; Sunita Simon Kurpad; Sylvane Desrivieres; Udita Iyengar; Yuning Zhang; Matthew Hickman; Alex Spiers; Mireille Toledano; Gunter Schumann; Vivek Benegal

doi:10.1017/S0954579422000050

Risk clustering and psychopathology from a multi-center cohort of Indian children, adolescents, and young adults

Debasish Basu, Abhishek Ghosh, Chandrima Naskar, Srinivas Balachander, Gwen Fernandes, Nilakshi Vaidya, Kalyanaraman Kumaran, Murali Krishna, Gareth J Barker, Eesha Sharma, Pratima Murthy, Bharath Holla, Sanjeev Jain, Dimitri Papadopoulos Orfanos, Kartik Kalyanram, Meera Purushottam, Rose Dawn Bharath, Mathew Varghese, Kandavel Thennarasu, Amit ChakrabartiRajkumar Lenin Singh, Roshan Lourembam Singh, Subodh Bhagyalakshmi Nanjayya, Chirag Kamal Ahuja, Kamakshi Kartik, Ghattu Krishnaveni, Rebecca Kuriyan, Sunita Simon Kurpad, Sylvane Desrivieres, Udita Iyengar, Yuning Zhang, Matthew Hickman, Alex Spiers, Mireille Toledano, Gunter Schumann, Vivek Benegal

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Abstract

Developmental adversities early in life are associated with later psychopathology. Clustering may be a useful approach to group multiple diverse risks together and study their relation with psychopathology. To generate risk clusters of children, adolescents, and young adults, based on adverse environmental exposure and developmental characteristics, and to examine the association of risk clusters with manifest psychopathology. Participants (n = 8300) between 6 and 23 years were recruited from seven sites in India. We administered questionnaires to elicit history of previous exposure to adverse childhood environments, family history of psychiatric disorders in first-degree relatives, and a range of antenatal and postnatal adversities. We used these variables to generate risk clusters. Mini-International Neuropsychiatric Interview-5 was administered to evaluate manifest psychopathology. Two-step cluster analysis revealed two clusters designated as high-risk cluster (HRC) and low-risk cluster (LRC), comprising 4197 (50.5%) and 4103 (49.5%) participants, respectively. HRC had higher frequencies of family history of mental illness, antenatal and neonatal risk factors, developmental delays, history of migration, and exposure to adverse childhood experiences than LRC. There were significantly higher risks of any psychiatric disorder [Relative Risk (RR) = 2.0, 95% CI 1.8-2.3], externalizing (RR = 4.8, 95% CI 3.6-6.4) and internalizing disorders (RR = 2.6, 95% CI 2.2-2.9), and suicidality (2.3, 95% CI 1.8-2.8) in HRC. Social-environmental and developmental factors could classify Indian children, adolescents and young adults into homogeneous clusters at high or low risk of psychopathology. These biopsychosocial determinants of mental health may have practice, policy and research implications for people in low- and middle-income countries.

Original language	English
Pages (from-to)	1-9
Number of pages	9
Journal	Development and psychopathology
DOIs	https://doi.org/10.1017/S0954579422000050
Publication status	E-pub ahead of print - 8 Apr 2022

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10.1017/S0954579422000050

Risk clustering and psychopathology from a multi-center cohort of Indian children, adolescents, and young adults
Final version: Risk clustering and psychopathology from a multi-center cohort of Indian children, adolescents, and young adults Author: Debasish Basu, et al Publication: Development and Psychopathology Publisher: Cambridge University Press Date: Apr 8, 2022 Copyright © © The Author(s), 2022. Published by Cambridge University Press
Licence: CC BY

Cite this

Basu, D., Ghosh, A., Naskar, C., Balachander, S., Fernandes, G., Vaidya, N., Kumaran, K., Krishna, M., Barker, G. J., Sharma, E., Murthy, P., Holla, B., Jain, S., Orfanos, D. P., Kalyanram, K., Purushottam, M., Bharath, R. D., Varghese, M., Thennarasu, K., ... Benegal, V. (2022). Risk clustering and psychopathology from a multi-center cohort of Indian children, adolescents, and young adults. Development and psychopathology, 1-9. Advance online publication. https://doi.org/10.1017/S0954579422000050

@article{26b3373c9ac840339e689a2aa54caf15,

title = "Risk clustering and psychopathology from a multi-center cohort of Indian children, adolescents, and young adults",

abstract = "Developmental adversities early in life are associated with later psychopathology. Clustering may be a useful approach to group multiple diverse risks together and study their relation with psychopathology. To generate risk clusters of children, adolescents, and young adults, based on adverse environmental exposure and developmental characteristics, and to examine the association of risk clusters with manifest psychopathology. Participants (n = 8300) between 6 and 23 years were recruited from seven sites in India. We administered questionnaires to elicit history of previous exposure to adverse childhood environments, family history of psychiatric disorders in first-degree relatives, and a range of antenatal and postnatal adversities. We used these variables to generate risk clusters. Mini-International Neuropsychiatric Interview-5 was administered to evaluate manifest psychopathology. Two-step cluster analysis revealed two clusters designated as high-risk cluster (HRC) and low-risk cluster (LRC), comprising 4197 (50.5%) and 4103 (49.5%) participants, respectively. HRC had higher frequencies of family history of mental illness, antenatal and neonatal risk factors, developmental delays, history of migration, and exposure to adverse childhood experiences than LRC. There were significantly higher risks of any psychiatric disorder [Relative Risk (RR) = 2.0, 95% CI 1.8-2.3], externalizing (RR = 4.8, 95% CI 3.6-6.4) and internalizing disorders (RR = 2.6, 95% CI 2.2-2.9), and suicidality (2.3, 95% CI 1.8-2.8) in HRC. Social-environmental and developmental factors could classify Indian children, adolescents and young adults into homogeneous clusters at high or low risk of psychopathology. These biopsychosocial determinants of mental health may have practice, policy and research implications for people in low- and middle-income countries.",

author = "Debasish Basu and Abhishek Ghosh and Chandrima Naskar and Srinivas Balachander and Gwen Fernandes and Nilakshi Vaidya and Kalyanaraman Kumaran and Murali Krishna and Barker, {Gareth J} and Eesha Sharma and Pratima Murthy and Bharath Holla and Sanjeev Jain and Orfanos, {Dimitri Papadopoulos} and Kartik Kalyanram and Meera Purushottam and Bharath, {Rose Dawn} and Mathew Varghese and Kandavel Thennarasu and Amit Chakrabarti and Singh, {Rajkumar Lenin} and Singh, {Roshan Lourembam} and Nanjayya, {Subodh Bhagyalakshmi} and Ahuja, {Chirag Kamal} and Kamakshi Kartik and Ghattu Krishnaveni and Rebecca Kuriyan and Kurpad, {Sunita Simon} and Sylvane Desrivieres and Udita Iyengar and Yuning Zhang and Matthew Hickman and Alex Spiers and Mireille Toledano and Gunter Schumann and Vivek Benegal",

note = "Funding Information: Gunter Schumann (Centre for Population Neurosciences and Precision Medicine, IoPPN, King{\textquoteright}s College London) and Vivek Benegal (Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bangalore) received the Newton-Bhabha Grant for the cVEDA study, jointly funded by the Medical Research Council, UK ( https://mrc.ukri.org/; Grant no. RCUK | Medical Research Council MR/N000390/1) and the Indian Council of Medical Research ( https://www.icmr.nic.in/; Sanction order, letter no. ICMR/MRC-UK/3/M/2015-NCD-I). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The study protocol was peer-reviewed by both the funding bodies. Publisher Copyright: {\textcopyright} The Author(s), 2022. Published by Cambridge University Press.",

year = "2022",

month = apr,

day = "8",

doi = "10.1017/S0954579422000050",

language = "English",

pages = "1--9",

journal = "Development and psychopathology",

issn = "0954-5794",

publisher = "Cambridge University Press",

}

Basu, D, Ghosh, A, Naskar, C, Balachander, S, Fernandes, G, Vaidya, N, Kumaran, K, Krishna, M, Barker, GJ, Sharma, E, Murthy, P, Holla, B, Jain, S, Orfanos, DP, Kalyanram, K, Purushottam, M, Bharath, RD, Varghese, M, Thennarasu, K, Chakrabarti, A, Singh, RL, Singh, RL, Nanjayya, SB, Ahuja, CK, Kartik, K, Krishnaveni, G, Kuriyan, R, Kurpad, SS, Desrivieres, S , Iyengar, U , Zhang, Y, Hickman, M, Spiers, A, Toledano, M, Schumann, G & Benegal, V 2022, 'Risk clustering and psychopathology from a multi-center cohort of Indian children, adolescents, and young adults', Development and psychopathology, pp. 1-9. https://doi.org/10.1017/S0954579422000050

TY - JOUR

T1 - Risk clustering and psychopathology from a multi-center cohort of Indian children, adolescents, and young adults

AU - Basu, Debasish

AU - Ghosh, Abhishek

AU - Naskar, Chandrima

AU - Balachander, Srinivas

AU - Fernandes, Gwen

AU - Vaidya, Nilakshi

AU - Kumaran, Kalyanaraman

AU - Krishna, Murali

AU - Barker, Gareth J

AU - Sharma, Eesha

AU - Murthy, Pratima

AU - Holla, Bharath

AU - Jain, Sanjeev

AU - Orfanos, Dimitri Papadopoulos

AU - Kalyanram, Kartik

AU - Purushottam, Meera

AU - Bharath, Rose Dawn

AU - Varghese, Mathew

AU - Thennarasu, Kandavel

AU - Chakrabarti, Amit

AU - Singh, Rajkumar Lenin

AU - Singh, Roshan Lourembam

AU - Nanjayya, Subodh Bhagyalakshmi

AU - Ahuja, Chirag Kamal

AU - Kartik, Kamakshi

AU - Krishnaveni, Ghattu

AU - Kuriyan, Rebecca

AU - Kurpad, Sunita Simon

AU - Desrivieres, Sylvane

AU - Iyengar, Udita

AU - Zhang, Yuning

AU - Hickman, Matthew

AU - Spiers, Alex

AU - Toledano, Mireille

AU - Schumann, Gunter

AU - Benegal, Vivek

N1 - Funding Information: Gunter Schumann (Centre for Population Neurosciences and Precision Medicine, IoPPN, King’s College London) and Vivek Benegal (Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bangalore) received the Newton-Bhabha Grant for the cVEDA study, jointly funded by the Medical Research Council, UK ( https://mrc.ukri.org/; Grant no. RCUK | Medical Research Council MR/N000390/1) and the Indian Council of Medical Research ( https://www.icmr.nic.in/; Sanction order, letter no. ICMR/MRC-UK/3/M/2015-NCD-I). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The study protocol was peer-reviewed by both the funding bodies. Publisher Copyright: © The Author(s), 2022. Published by Cambridge University Press.

PY - 2022/4/8

Y1 - 2022/4/8

N2 - Developmental adversities early in life are associated with later psychopathology. Clustering may be a useful approach to group multiple diverse risks together and study their relation with psychopathology. To generate risk clusters of children, adolescents, and young adults, based on adverse environmental exposure and developmental characteristics, and to examine the association of risk clusters with manifest psychopathology. Participants (n = 8300) between 6 and 23 years were recruited from seven sites in India. We administered questionnaires to elicit history of previous exposure to adverse childhood environments, family history of psychiatric disorders in first-degree relatives, and a range of antenatal and postnatal adversities. We used these variables to generate risk clusters. Mini-International Neuropsychiatric Interview-5 was administered to evaluate manifest psychopathology. Two-step cluster analysis revealed two clusters designated as high-risk cluster (HRC) and low-risk cluster (LRC), comprising 4197 (50.5%) and 4103 (49.5%) participants, respectively. HRC had higher frequencies of family history of mental illness, antenatal and neonatal risk factors, developmental delays, history of migration, and exposure to adverse childhood experiences than LRC. There were significantly higher risks of any psychiatric disorder [Relative Risk (RR) = 2.0, 95% CI 1.8-2.3], externalizing (RR = 4.8, 95% CI 3.6-6.4) and internalizing disorders (RR = 2.6, 95% CI 2.2-2.9), and suicidality (2.3, 95% CI 1.8-2.8) in HRC. Social-environmental and developmental factors could classify Indian children, adolescents and young adults into homogeneous clusters at high or low risk of psychopathology. These biopsychosocial determinants of mental health may have practice, policy and research implications for people in low- and middle-income countries.

AB - Developmental adversities early in life are associated with later psychopathology. Clustering may be a useful approach to group multiple diverse risks together and study their relation with psychopathology. To generate risk clusters of children, adolescents, and young adults, based on adverse environmental exposure and developmental characteristics, and to examine the association of risk clusters with manifest psychopathology. Participants (n = 8300) between 6 and 23 years were recruited from seven sites in India. We administered questionnaires to elicit history of previous exposure to adverse childhood environments, family history of psychiatric disorders in first-degree relatives, and a range of antenatal and postnatal adversities. We used these variables to generate risk clusters. Mini-International Neuropsychiatric Interview-5 was administered to evaluate manifest psychopathology. Two-step cluster analysis revealed two clusters designated as high-risk cluster (HRC) and low-risk cluster (LRC), comprising 4197 (50.5%) and 4103 (49.5%) participants, respectively. HRC had higher frequencies of family history of mental illness, antenatal and neonatal risk factors, developmental delays, history of migration, and exposure to adverse childhood experiences than LRC. There were significantly higher risks of any psychiatric disorder [Relative Risk (RR) = 2.0, 95% CI 1.8-2.3], externalizing (RR = 4.8, 95% CI 3.6-6.4) and internalizing disorders (RR = 2.6, 95% CI 2.2-2.9), and suicidality (2.3, 95% CI 1.8-2.8) in HRC. Social-environmental and developmental factors could classify Indian children, adolescents and young adults into homogeneous clusters at high or low risk of psychopathology. These biopsychosocial determinants of mental health may have practice, policy and research implications for people in low- and middle-income countries.

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U2 - 10.1017/S0954579422000050

DO - 10.1017/S0954579422000050

M3 - Article

C2 - 35393927

SN - 0954-5794

SP - 1

EP - 9

JO - Development and psychopathology

JF - Development and psychopathology

ER -

Risk clustering and psychopathology from a multi-center cohort of Indian children, adolescents, and young adults

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