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1. The proportion of weight gain due to change in fat mass in infants with vs without rapid growth

Author

Johnson, William, Nyati, Lukhanyo H., Ariff, Shabina, Ahmad, Tanvir, Byrne, Nuala M., Cheikh Ismail, Leila I., Costa, Caroline S., Demerath, Ellen W., Priscilla, Divya J., Hills, Andrew P., Kuriyan, Rebecca, Kurpad, Anura V., Loechl, Cornelia U., Lucas, M. Nishani, Santos, Ina S., Slater, Christine, Wickramasinghe, V. Pujitha, Norris, Shane A., and Murphy-Alford, Alexia J.

Published
2024
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6. Body composition from birth to 2 years

Author

Hills, Andrew P., Norris, Shane A., Byrne, Nuala M., Jayasinghe, Sisitha, Murphy-Alford, Alexia J., Loechl, Cornelia U., Ismail, Leila I. Cheikh, Kurpad, Anura V., Kuriyan, Rebecca, Nyati, Lukhanyo H., Santos, Ina S., Costa, Caroline S., Wickramasinghe, V. Pujitha, Lucas, M. Nishani, Slater, Christine, Yameen, Ayesha, and Ariff, Shabina

Published
2024
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8. Greater male variability in daily energy expenditure develops through puberty.

Author

Haisma, Hinke, Hambly, Catherine, Hoffman, Daniel, Hoos, Marije, Hu, Sumei, Joonas, Noorjehan, Joosen, Annemiek, Katzmarzyk, Peter, Kempen, Kitty, Kimura, Misaka, Kraus, William, Kriengsinyos, Wantanee, Kuriyan, Rebecca, Kushner, Robert, Lambert, Estelle, Lanerolle, Pulani, Larsson, Christel, Lessan, Nader, Löf, Marie, Martin, Corby, Matsiko, Eric, Meijer, Gerwin, Morehen, James, Morton, James, Must, Aviva, Neuheuser, Marian, Nicklas, Theresa, Ojiambo, Robert, Pietilainen, Kirsi, Pitsiladis, Yannis, Plange-Rhule, Jacob, Plasqui, Guy, Prentice, Ross, Rabinovich, Roberto, Racette, Susan, Raichen, David, Ravussin, Eric, Redman, Leanne, Reilly, John, Reynolds, Rebecca, Roberts, Susan, Rood, Jennifer, Samaranayake, Dulani, Sardinha, Luís, Scuitt, Albertine, Silva, Analiza, Sinha, Srishti, Sjödin, Anders, Stice, Eric, Stunkard, Albert, Urlacher, Samuel, Valencia, Mauro, Valenti, Giulio, van Etten, Ludo, Van Mil, Edgar, Verbunt, Jeanine, Wells, Jonathan, Wilson, George, Wood, Brian, Yoshida, Tsukasa, Zhang, Xueying, Murphy-Alford, Alexia, Loechl, Cornelia, Luke, Amy, Pontzer, Herman, Sagayama, Hiroyuki, Westerterp, Klaas, Wong, William, Yamada, Yosuke, Speakman, John, Halsey, Lewis, Careau, Vincent, Ainslie, Philip, Alemán-Mateo, Heliodoro, Andersen, Lene, Anderson, Liam, Arab, Leonore, Baddou, Issad, Bandini, Linda, Bedu-Addo, Kweku, Blaak, Ellen, Blanc, Stephane, Bonomi, Alberto, Bouten, Carlijn, Bovet, Pascal, Brage, Soren, Buchowski, Maciej, Butte, Nancy, Camps, Stephan, Casper, Regian, Close, Graeme, Colbert, Lisa, Cooper, Jamie, Cooper, Richard, Dabare, Prasangi, Das, Sai, Davies, Peter, Deb, Sanjoy, and Nyström, Christine

Subjects
age, height, inter-individual variation, morphometry, weight, Adolescent, Young Adult, Female, Humans, Male, Adult, Puberty, Sexual Behavior, Reproduction, Energy Metabolism, Phenotype
Abstract

There is considerably greater variation in metabolic rates between men than between women, in terms of basal, activity and total (daily) energy expenditure (EE). One possible explanation is that EE is associated with male sexual characteristics (which are known to vary more than other traits) such as musculature and athletic capacity. Such traits might be predicted to be most prominent during periods of adolescence and young adulthood, when sexual behaviour develops and peaks. We tested this hypothesis on a large dataset by comparing the amount of male variation and female variation in total EE, activity EE and basal EE, at different life stages, along with several morphological traits: height, fat free mass and fat mass. Total EE, and to some degree also activity EE, exhibit considerable greater male variation (GMV) in young adults, and then a decreasing GMV in progressively older individuals. Arguably, basal EE, and also morphometrics, do not exhibit this pattern. These findings suggest that single male sexual characteristics may not exhibit peak GMV in young adulthood, however total and perhaps also activity EE, associated with many morphological and physiological traits combined, do exhibit GMV most prominently during the reproductive life stages.

Published
2023

15. Federated Analysis in COINSTAC Reveals Functional Network Connectivity and Spectral Links to Smoking and Alcohol Consumption in Nearly 2,000 Adolescent Brains

Author

Gazula, Harshvardhan, Rootes-Murdy, Kelly, Holla, Bharath, Basodi, Sunitha, Zhang, Zuo, Verner, Eric, Kelly, Ross, Murthy, Pratima, Chakrabarti, Amit, Basu, Debasish, Bhagyalakshmi Nanjayya, Subodh, Lenin Singh, Rajkumar, Lourembam Singh, Roshan, Kalyanram, Kartik, Kartik, Kamakshi, Kalyanaraman, Kumaran, Ghattu, Krishnaveni, Kuriyan, Rebecca, Kurpad, Sunita Simon, Barker, Gareth J, Bharath, Rose Dawn, Desrivieres, Sylvane, Purushottam, Meera, Orfanos, Dimitri Papadopoulos, Sharma, Eesha, Hickman, Matthew, Toledano, Mireille, Vaidya, Nilakshi, Banaschewski, Tobias, Bokde, Arun L. W., Flor, Herta, Grigis, Antoine, Garavan, Hugh, Gowland, Penny, Heinz, Andreas, Brühl, Rüdiger, Martinot, Jean-Luc, Paillére Martinot, Marie-Laure, Artiges, Eric, Nees, Frauke, Paus, Tomás, Poustka, Luise, Fröhner, Juliane H., Robinson, Lauren, Smolka, Michael N., Walter, Henrik, Winterer, Jeanne, Whelan, Robert, Turner, Jessica A., Sarwate, Anand D., Plis, Sergey M., Benegal, Vivek, Schumann, Gunter, and Calhoun, Vince D.

Published
2023
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17. Body composition reference charts for infants from birth to 24 months: Multicenter Infant Body Composition Reference Study

Author

Murphy-Alford, Alexia J., Johnson, William, Nyati, Lukhanyo H., Santos, Ina S., Hills, Andrew P., Ariff, Shabina, Wickramasinghe, V. Pujitha, Kuriyan, Rebecca, Lucas, M.Nishani, Costa, Caroline S., Slater, Christine, Ahmad, Tanvir, Byrne, Nuala M., Divya, Priscilla J., Kurpad, Anura V., Cheikh Ismail, Leila I., Loechl, Cornelia U., and Norris, Shane A.

Published
2023
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18. The reference values for muscle mass and strength in healthy Indian adults using whole-body potassium counter and isokinetic dynamometer

Author

Sambashivaiah Sucharita, Neettiyath Sreenath, Bhattacharya Shinjini, D S Raj Tony, and Kuriyan Rebecca

Subjects
body cell mass, fat-free mass, isometric peak torque, physical activity level, sex-based reference, Public aspects of medicine, RA1-1270
Abstract

The study aims to define the sex-based reference data for muscle mass and strength among healthy young Indians and to compare the data from the present study with available literature. Healthy Indian adults (n = 100) aged between 18 and 40 years were recruited. The assessment of muscle mass and strength was performed. The body cell mass (BCM), fat-free mass, and muscle strength parameters were significantly higher among males compared to females (P < 0.001). A comparison of the current study data with the available literature showed that though BCM was comparable, Indians demonstrated a significantly lower isometric peak torque (P < 0.001 for both sexes). These findings suggest that Indians tend to have a lower muscle strength compared to the Western population, despite having a comparable BCM content.

Published
2023
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19. Growth trajectories for executive and social cognitive abilities in an Indian population sample: Impact of demographic and psychosocial determinants

Author

Sharma, Eesha, Ravi, G.S., Kumar, Keshav, Thennarasu, Kandavel, Heron, Jon, Hickman, Matthew, Vaidya, Nilakshi, Holla, Bharath, Rangaswamy, Madhavi, Mehta, Urvakhsh Meherwan, Krishna, Murali, Chakrabarti, Amit, Basu, Debashish, Nanjayya, Subodh Bhagyalakshmi, Singh, Rajkumar Lenin, Lourembam, Roshan, Kumaran, Kalyanaraman, Kuriyan, Rebecca, Kurpad, Sunita Simon, Kartik, Kamakshi, Kalyanram, Kartik, Desrivieres, Sylvane, Barker, Gareth, Orfanos, Dimitri Papadopoulos, Toledano, Mireille, Purushottam, Meera, Bharath, Rose Dawn, Murthy, Pratima, Jain, Sanjeev, Schumann, Gunter, and Benegal, Vivek

Published
2023
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20. A Randomized Trial of Quadruple-Fortified Salt for Anemia and Birth Defects Prevention in Southern India: Protocol Design and Methods

Author

Finkelstein, Julia L., Guetterman, Heather M., Fothergill, Amy, Johnson, Christina B., Qi, Yan Ping, Jabbar, Shameem, Zhang, Mindy, Pfeiffer, Christine M., Rose, Charles E., Yeung, Lorraine F., Williams, Jennifer L., Krisher, Jesse T., Ruth, Caleb, Roy Choudhury, Dripta, Venkatramanan, Sudha, Haas, Jere D., Kuriyan, Rebecca, Mehta, Saurabh, Bonam, Wesley, and Crider, Krista S.

Published
2023
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23. Decentralized Multisite VBM Analysis During Adolescence Shows Structural Changes Linked to Age, Body Mass Index, and Smoking: a COINSTAC Analysis

Author

Gazula, Harshvardhan, Holla, Bharath, Zhang, Zuo, Xu, Jiayuan, Verner, Eric, Kelly, Ross, Jain, Sanjeev, Bharath, Rose Dawn, Barker, Gareth J., Basu, Debasish, Chakrabarti, Amit, Kalyanram, Kartik, Kumaran, Kalyanaraman, Singh, Lenin, Kuriyan, Rebecca, Murthy, Pratima, Benega, Vivek, Plis, Sergey M., Sarwate, Anand D., Turner, Jessica A., Schumann, Gunter, and Calhoun, Vince D.

Published
2021
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24. Total energy expenditure (TEE) of young adults from urban South India: revisiting their daily energy requirement

Author

Sinha, Srishti, Kurpad, Anura V., and Kuriyan, Rebecca

Subjects
Young adults -- Physiological aspects, Bioenergetics -- Observations, Energy metabolism -- Observations, Food/cooking/nutrition, Health
Abstract

Background/Objectives Young Indian adults are at greater risk of overweight/obesity due to their high energy intake and sedentary lifestyle. Their energy requirement (ER) is based on their total energy expenditure (TEE) estimated from factorial method, which possibly overestimates their basal metabolic rate (BMR) and physical activity level (PAL). This study aimed to compare the accurately measured TEE with ER in young adults. Secondarily, to compare measured with predicted BMR and guideline PAL with that obtained from questionnaire and step counts. Subjects/Methods TEE was measured in 19 male adults (18-30 years), using the doubly labeled water technique, over 14 days. Indirect calorimetry was used to measure BMR, while the PAL was estimated by (a) the ratio of measured TEE and BMR, (b) step counts over 7 days measured using tri-axial accelerometers and (c) a physical activity questionnaire (PAQ). Results The measured TEE (9.11 [plus or minus] 1.30 MJ/d) was significantly lower than the ER using either the Indian (15.2%) or the FAO/WHO/UNU (11.9%, both p < 0.01) recommendations. The measured BMR (6.90 [plus or minus] 0.65 MJ/d) was significantly lower than that predicted using the FAO/WHO/UNU equation (6.5%, p < 0.01) but not for the Indian equation. The estimated PAL from measured TEE and BMR (1.35 [plus or minus] 0.18), and from accelerometers (1.33 [plus or minus] 0.11) was significantly lower than PAL obtained from PAQ (1.53 [plus or minus] 0.17) or the guideline of 1.53 for Indians. Conclusions The predicted BMR and PAL guideline value was higher than that measured in young Indian adults, resulting in a ~13% lower measured TEE. This emphasizes the need to revisit the guidelines for predicting ER for this population., Author(s): Srishti Sinha [sup.1] , Anura V. Kurpad [sup.1] [sup.2] , Rebecca Kuriyan [sup.1] Author Affiliations: (1) Division of Nutrition, St. John's Research Institute, A recognized research center of University [...]

Published
2021
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25. Childhood adversities characterize the heterogeneity in the brain pattern of individuals during neurodevelopment.

Author

Kashyap, Rajan, Holla, Bharath, Bhattacharjee, Sagarika, Sharma, Eesha, Mehta, Urvakhsh Meherwan, Vaidya, Nilakshi, Bharath, Rose Dawn, Murthy, Pratima, Basu, Debashish, Nanjayya, Subodh Bhagyalakshmi, Singh, Rajkumar Lenin, Lourembam, Roshan, Chakrabarti, Amit, Kartik, Kamakshi, Kalyanram, Kartik, Kumaran, Kalyanaraman, Krishnaveni, Ghattu, Krishna, Murali, Kuriyan, Rebecca, and Kurpad, Sunita Simon

Subjects
BRAIN physiology, BRAIN anatomy, ADOLESCENT development, FUNCTIONAL connectivity, DATA analysis, CHILD psychopathology, RESEARCH funding, CHILD abuse, NEURAL development, DEMOGRAPHIC characteristics, NEURAL pathways, MAGNETIC resonance imaging, AGE distribution, GENETIC variation, DEVELOPMENTAL disabilities, STATISTICS, CHILD development, ADVERSE childhood experiences, ALGORITHMS, RELAXATION for health, DISEASE risk factors
Abstract

Background Several factors shape the neurodevelopmental trajectory. A key area of focus in neurodevelopmental research is to estimate the factors that have maximal influence on the brain and can tip the balance from typical to atypical development. Methods Utilizing a dissimilarity maximization algorithm on the dynamic mode decomposition (DMD) of the resting state functional MRI data, we classified subjects from the cVEDA neurodevelopmental cohort (n = 987, aged 6–23 years) into homogeneously patterned DMD (representing typical development in 809 subjects) and heterogeneously patterned DMD (indicative of atypical development in 178 subjects). Results Significant DMD differences were primarily identified in the default mode network (DMN) regions across these groups (p < 0.05, Bonferroni corrected). While the groups were comparable in cognitive performance, the atypical group had more frequent exposure to adversities and faced higher abuses (p < 0.05, Bonferroni corrected). Upon evaluating brain-behavior correlations, we found that correlation patterns between adversity and DMN dynamic modes exhibited age-dependent variations for atypical subjects, hinting at differential utilization of the DMN due to chronic adversities. Conclusion Adversities (particularly abuse) maximally influence the DMN during neurodevelopment and lead to the failure in the development of a coherent DMN system. While DMN's integrity is preserved in typical development, the age-dependent variability in atypically developing individuals is contrasting. The flexibility of DMN might be a compensatory mechanism to protect an individual in an abusive environment. However, such adaptability might deprive the neural system of the faculties of normal functioning and may incur long-term effects on the psyche. [ABSTRACT FROM AUTHOR]

Published
2024
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27. Sleep characteristics and health-related quality of life in 9- to 11-year-old children from 12 countries

Author

Katzmarzyk, Peter T., Church, Timothy S., Lambert, Denise G., Barreira, Tiago, Broyles, Stephanie, Butitta, Ben, Champagne, Catherine, Cocreham, Shannon, Denstel, Kara D., Drazba, Katy, Harrington, Deirdre, Johnson, William, Milauskas, Dione, Mire, Emily, Tohme, Allison, Rodarte, Ruben, Amoroso, Bobby, Luopa, John, Neiberg, Rebecca, Rushing, Scott, Timothy Olds, Maher, Carol, Lewis, Lucy, Ferrar, Katia, Georgiadis, Effie, Stanley, Rebecca, Rodrigues Matsudo, Victor Keihan, Matsudo, Sandra, Araujo, Timoteo, Carlos de Oliveira, Luis, Fabiano, Luis, Bezerra, Diogo, Ferrari, Gerson, Tremblay, Mark S., Chaput, Jean-Philippe, Bélanger, Priscilla, Borghese, Mike, Boyer, Charles, LeBlanc, Allana, Francis, Claire, Leduc, Geneviève, Zhao, Pei, Hu, Gang, Diao, Chengming, Li, Wei, Li, Weiqin, Liu, Enqing, Liu, Gongshu, Liu, Hongyan, Ma, Jian, Qiao, Yijuan, Tian, Huiguang, Wang, Yue, Zhang, Tao, Zhang, Fuxia, Sarmiento, Olga, Acosta, Julio, Alvira, Yalta, Diaz, Maria Paula, Gamez, Rocio, Garcia, Maria Paula, Gómez, Luis Guillermo, Gonzalez, Lisseth, Gonzalez, Silvia, Grijalba, Carlos, Gutierrez, Leidys, Leal, David, Lemus, Nicolas, Mahecha, Etelvina, Mahecha, Maria Paula, Mahecha, Rosalba, Ramirez, Andrea, Rios, Paola, Suarez, Andres, Triana, Camilo, Fogelholm, Mikael, Jalo, Elli, Kivelä, Jemina, Räsänen, Sari, Roito, Sanna, Saloheimo, Taru, Arjanne, Leena, Kurpad, Anura, Kuriyan, Rebecca, Lokesh, Deepa P., D'Almeida, Michelle Stephanie, R, Annie Mattilda, Correa, Lygia, Murthy, Vijay Dakshina, Onywera, Vincent, Wachira, Lucy-Joy, Muthuri, Stella, Maia, Jose, da Silva Borges, Alessandra, Sá Cachada, Sofia Oliveira, Nichele de Chaves, Raquel, Queiroz Ferreira Gomes, Thayse Natacha, Sampaio Pereira, Sara Isabel, Monteiro de Vilhena e Santos, Daniel, Karina dos Santos, Fernanda, Rodrigues da Silva, Pedro Gil, Caroline de Souza, Michele, Lambert, Vicki, April, Matthew, Uys, Monika, Naidoo, Nirmala, Synyanya, Nandi, Carstens, Madelaine, Standage, Martyn, Cumming, Sean, Drenowatz, Clemens, Emm, Lydia, Gillison, Fiona, Zakrzewski, Julia, Tudor-Locke, Catrine, Braud, Ashley, Donatto, Sheletta, Lemon, Corbin, Jackson, Ana, Pearson, Ashunti, Pennington, Gina, Ragus, Daniel, Roubion, Ryan, Schuna, John, Jr., Wiltz, Derek, Xiao, Qian, Olds, Timothy, Lambert, Estelle V., and Sarmiento, Olga L.

Published
2020
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33. Joint associations between weekday and weekend physical activity or sedentary time and childhood obesity

Author

Li, Nan, Zhao, Pei, Diao, Chengming, Qiao, Yijuan, Katzmarzyk, Peter T., Chaput, Jean-Philippe, Fogelholm, Mikael, Kuriyan, Rebecca, Kurpad, Anura, Lambert, Estelle V., Maher, Carol, Maia, Jose, Matsudo, Victor, Olds, Timothy, Onywera, Vincent, Sarmiento, Olga L., Standage, Martyn, Tremblay, Mark S., Tudor-Locke, Catrine, Hu, Gang, and for the ISCOLE Research Group

Published
2019
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34. P17-025-23 A Randomized Crossover Trial To Evaluate the Acceptability of Quadruple-Fortified Salt in Women and Their Households in Southern India

Author

Guetterman, Heather, primary, Fothergill, Amy, additional, Johnson, Christina, additional, Rajagopalan, Kripa, additional, Fox, Allison, additional, Krisher, Jesse, additional, Haas, Jere, additional, Kuriyan, Rebecca, additional, Mehta, Saurabh, additional, Bonam, Wesley, additional, Williams, Jennifer, additional, Crider, Krista, additional, and Finkelstein, Julia, additional

Published
2023
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36. P11-025-23 Arsenic Exposure, One-Carbon Metabolism Biomarkers, and Population-Based Risk of Neural Tube Defects

Author

Guetterman, Heather, primary, Fothergill, Amy, additional, Johnson, Christina, additional, Bose, Beena, additional, Jabbar, Shameem, additional, Zhang, Mindy, additional, Pfeiffer, Christine, additional, Jones, Robert, additional, Jarret, Jeffery, additional, Qi, Yan Ping, additional, Rose, Charles, additional, Wang, Arick, additional, Williams, Jennifer, additional, Mehta, Saurabh, additional, Kuriyan, Rebecca, additional, Bonam, Wesley, additional, Crider, Krista, additional, and Finkelstein, Julia, additional

Published
2023
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37. Associations of neighborhood social environment attributes and physical activity among 9–11 year old children from 12 countries

Author

Sullivan, Samaah M., Broyles, Stephanie T., Barreira, Tiago V., Chaput, Jean-Philippe, Fogelholm, Mikael, Hu, Gang, Kuriyan, Rebecca, Kurpad, Anura, Lambert, Estelle V., Maher, Carol, Maia, Jose, Matsudo, Victor, Olds, Tim, Onywera, Vincent, Sarmiento, Olga L., Standage, Martyn, Tremblay, Mark S., Tudor-Locke, Catrine, Zhao, Pei, and Katzmarzyk, Peter T.

Published
2017
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38. Health-Related Quality of Life and Lifestyle Behavior Clusters in School-Aged Children from 12 Countries

Author

Dumuid, Dorothea, Olds, Timothy, Lewis, Lucy K., Martin-Fernández, Josep Antoni, Katzmarzyk, Peter T., Barreira, Tiago, Broyles, Stephanie T., Chaput, Jean-Philippe, Fogelholm, Mikael, Hu, Gang, Kuriyan, Rebecca, Kurpad, Anura, Lambert, Estelle V., Maia, José, Matsudo, Victor, Onywera, Vincent O., Sarmiento, Olga L., Standage, Martyn, Tremblay, Mark S., Tudor-Locke, Catrine, Zhao, Pei, Gillison, Fiona, and Maher, Carol

Published
2017
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40. Local Sources of Protein in Low- and Middle-Income Countries: How to Improve the Protein Quality?

Author

Vissamsetti, Nitya, Simon-Collins, Mackenzie, Lin, Sheryl, Bandyopadhyay, Sulagna, Kuriyan, Rebecca, Sybesma, Wilbert, and Tomé, Daniel

Abstract

Protein inadequacy is a major contributor to nutritional deficiencies and adverse health outcomes of populations in low- and middle-income countries (LMICs). People in LMICs often consume a diet predominantly based on staple crops, such as cereals or starches, and derive most of their daily protein intakes from these sources. However, plant-based sources of protein often contain low levels of indispensable amino acids (IAAs). Inadequate intake of IAA in comparison with daily requirements is a limiting factor that results in protein deficiency, consequently in the long-term stunting and wasting. In addition, plant-based sources contain factors such as antinutrients that can diminish protein digestion and absorption. This review describes factors that affect protein quality, reviews dietary patterns of populations in LMICs and discusses traditional and novel small- and large-scale techniques that can improve the quality of plant protein sources for enhanced protein bioavailability and digestibility as an approach to tackle malnutrition in LMICs. The more accessible small-scale food-processing techniques that can be implemented at home in LMICs include soaking, cooking, and germination, whereas many large-scale techniques must be implemented on an industrial level such as autoclaving and extrusion. Limitations and considerations to implement those techniques locally in LMICs are discussed. For instance, at-home processing techniques can cause loss of nutrients and contamination, whereas limitations with larger scale techniques include high energy requirements, costs, and safety considerations. This review suggests that combining these smalland large-scale approaches could improve the quality of local sources of proteins, and thereby address adverse health outcomes, particularly in vulnerable population groups such as children, adolescents, elderly, and pregnant and lactating women. [ABSTRACT FROM AUTHOR]

Published
2024
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42. Estimating the serum folate concentration that corresponds to the red blood cell folate concentration threshold associated with optimal neural tube defects prevention: A population-based biomarker survey in Southern India

Author

Fothergill, Amy, primary, Crider, Krista S., additional, Rose, Charles E., additional, Bose, Beena, additional, Guetterman, Heather M., additional, Johnson, Christina B., additional, Jabbar, Shameem, additional, Zhang, Mindy, additional, Pfeiffer, Christine M., additional, Qi, Yan Ping, additional, Williams, Jennifer L., additional, Kuriyan, Rebecca, additional, Bonam, Wesley, additional, and Finkelstein, Julia L., additional

Published
2023
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44. Infant growth and body composition from birth to 24-months: Are infants developing the same?

Author

Norris, Shane, primary, Nyati, Lukhanyo, additional, Murphy-Alford, Alexia, additional, Lucas, Nishani, additional, Santos, Ina, additional, Costa, Caroline Santos, additional, Kuriyan, Rebecca, additional, Wickramasinghe, Pujitha, additional, Ariff, Shabina, additional, Jayasinghe, Sisitha, additional, Kurpad, Anura, additional, Ismail, Leila Cheikh, additional, and Hills, Andrew, additional

Published
2023
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45. Greater male variability in daily energy expenditure develops through puberty

Author

Halsey, Lewis G., Careau, Vincent, Ainslie, Philip N., Alemán-Mateo, Heliodoro, Andersen, Lene F., Anderson, Liam J., Arab, Leonore, Baddou, Issad, Bandini, Linda, Bedu-Addo, Kweku, Blaak, Ellen E., Blanc, Stephane, Bonomi, Alberto G., Bouten, Carlijn V.C., Bovet, Pascal, Brage, Soren, Buchowski, Maciej S., Butte, Nancy, Camps, Stephan G., Casper, Regian, Close, Graeme L., Colbert, Lisa H., Cooper, Jamie A., Cooper, Richard, Dabare, Prasangi, Das, Sai Krupa, Davies, Peter S.W., Deb, Sanjoy, Nyström, Christine Delisle, Dietz, William, Dugas, Lara R., Eaton, Simon, Ekelund, Ulf, Hamdouchi, Asmaa El, Entringer, Sonja, Forrester, Terrence, Fudge, Barry W., Gillingham, Melanie, Goris, Annelies H., Gurven, Michael, Haisma, Hinke, Hambly, Catherine, Hoffman, Daniel, Hoos, Marije B., Hu, Sumei, Joonas, Noorjehan, Joosen, Annemiek, Katzmarzyk, Peter, Kempen, Kitty P., Kimura, Misaka, Kraus, William E., Kriengsinyos, Wantanee, Kuriyan, Rebecca, Kushner, Robert F., Lambert, Estelle V., Lanerolle, Pulani, Larsson, Christel L., Lessan, Nader, Löf, Marie, Martin, Corby, Matsiko, Eric, Meijer, Gerwin A., Morehen, James C., Morton, James P., Must, Aviva, Neuheuser, Marian, Nicklas, Theresa A., Ojiambo, Robert M., Pietilainen, Kirsi H., Pitsiladis, Yannis P., Plange-Rhule, Jacob, Plasqui, Guy, Prentice, Ross L., Rabinovich, Roberto, Racette, Susan B., Raichen, David A., Ravussin, Eric, Redman, Leanne, Reilly, John J., Reynolds, Rebecca, Roberts, Susan, Rood, Jennifer C., Samaranayake, Dulani, Sardinha, Luís B., Scuitt, Albertine J., Silva, Analiza M., Sinha, Srishti, Sjödin, Anders M., Stice, Eric, Stunkard, Albert, Urlacher, Samuel S., Valencia, Mauro Eduardo, Valenti, Giulio, Van Etten, Ludo M., Van Mil, Edgar A., Verbunt, Jeanine A., Wells, Jonathan C.K., Wilson, George, Wood, Brian, Yoshida, Tsukasa, Zhang, Xueying, Murphy-Alford, Alexia, Loechl, Cornelia, Luke, Amy, Pontzer, Herman, Rood, Jennifer, Sagayama, Hiroyuki, Westerterp, Klaas R., Wong, William W., Yamada, Yosuke, Speakman, John R., Halsey, Lewis G., Careau, Vincent, Ainslie, Philip N., Alemán-Mateo, Heliodoro, Andersen, Lene F., Anderson, Liam J., Arab, Leonore, Baddou, Issad, Bandini, Linda, Bedu-Addo, Kweku, Blaak, Ellen E., Blanc, Stephane, Bonomi, Alberto G., Bouten, Carlijn V.C., Bovet, Pascal, Brage, Soren, Buchowski, Maciej S., Butte, Nancy, Camps, Stephan G., Casper, Regian, Close, Graeme L., Colbert, Lisa H., Cooper, Jamie A., Cooper, Richard, Dabare, Prasangi, Das, Sai Krupa, Davies, Peter S.W., Deb, Sanjoy, Nyström, Christine Delisle, Dietz, William, Dugas, Lara R., Eaton, Simon, Ekelund, Ulf, Hamdouchi, Asmaa El, Entringer, Sonja, Forrester, Terrence, Fudge, Barry W., Gillingham, Melanie, Goris, Annelies H., Gurven, Michael, Haisma, Hinke, Hambly, Catherine, Hoffman, Daniel, Hoos, Marije B., Hu, Sumei, Joonas, Noorjehan, Joosen, Annemiek, Katzmarzyk, Peter, Kempen, Kitty P., Kimura, Misaka, Kraus, William E., Kriengsinyos, Wantanee, Kuriyan, Rebecca, Kushner, Robert F., Lambert, Estelle V., Lanerolle, Pulani, Larsson, Christel L., Lessan, Nader, Löf, Marie, Martin, Corby, Matsiko, Eric, Meijer, Gerwin A., Morehen, James C., Morton, James P., Must, Aviva, Neuheuser, Marian, Nicklas, Theresa A., Ojiambo, Robert M., Pietilainen, Kirsi H., Pitsiladis, Yannis P., Plange-Rhule, Jacob, Plasqui, Guy, Prentice, Ross L., Rabinovich, Roberto, Racette, Susan B., Raichen, David A., Ravussin, Eric, Redman, Leanne, Reilly, John J., Reynolds, Rebecca, Roberts, Susan, Rood, Jennifer C., Samaranayake, Dulani, Sardinha, Luís B., Scuitt, Albertine J., Silva, Analiza M., Sinha, Srishti, Sjödin, Anders M., Stice, Eric, Stunkard, Albert, Urlacher, Samuel S., Valencia, Mauro Eduardo, Valenti, Giulio, Van Etten, Ludo M., Van Mil, Edgar A., Verbunt, Jeanine A., Wells, Jonathan C.K., Wilson, George, Wood, Brian, Yoshida, Tsukasa, Zhang, Xueying, Murphy-Alford, Alexia, Loechl, Cornelia, Luke, Amy, Pontzer, Herman, Rood, Jennifer, Sagayama, Hiroyuki, Westerterp, Klaas R., Wong, William W., Yamada, Yosuke, and Speakman, John R.

Abstract

There is considerably greater variation in metabolic rates between men than between women, in terms of basal, activity and total (daily) energy expenditure (EE). One possible explanation is that EE is associated with male sexual characteristics (which are known to vary more than other traits) such as musculature and athletic capacity. Such traits might be predicted to be most prominent during periods of adolescence and young adulthood, when sexual behaviour develops and peaks. We tested this hypothesis on a large dataset by comparing the amount of male variation and female variation in total EE, activity EE and basal EE, at different life stages, along with several morphological traits: height, fat free mass and fat mass. Total EE, and to some degree also activity EE, exhibit considerable greater male variation (GMV) in young adults, and then a decreasing GMV in progressively older individuals. Arguably, basal EE, and also morphometrics, do not exhibit this pattern. These findings suggest that single male sexual characteristics may not exhibit peak GMV in young adulthood, however total and perhaps also activity EE, associated with many morphological and physiological traits combined, do exhibit GMV most prominently during the reproductive life stages.

Published
2023

47. Neurocognitive Analysis of Low-level Arsenic Exposure and Executive Function Mediated by Brain Anomalies Among Children, Adolescents, and Young Adults in India

Author

Vaidya, Nilakshi, Holla, Bharath, Heron, Jon, Sharma, Eesha, Zhang, Yuning, Fernandes, Gwen, Iyengar, Udita, Spiers, Alex, Yadav, Anupa, Das, Surajit, Roy, Sanjit, Ahuja, Chirag K, Barker, Gareth J, Basu, Debasish, Bharath, Rose Dawn, Hickman, Matthew, Jain, Sanjeev, Kalyanram, Kartik, Kartik, Kamakshi, Krishna, Murali, Krishnaveni, Ghattu, Kumaran, Kalyanaraman, Kuriyan, Rebecca, Murthy, Pratima, Papadopoulos Orfanos, Dimitri, Purushottam, Meera, Kurpad, Sunita Simon, Singh, Lenin, Singh, Roshan, Subodh, B N, Toledano, Mireille, Walter, Henrik, Desrivières, Sylvane, Chakrabarti, Amit, Benegal, Vivek, and Schumann, Gunter

Subjects
Male, Cohort Studies, Young Adult, Executive Function, Brain Diseases, Cross-Sectional Studies, Adolescent, Humans, Brain/pathology, Child, Arsenic
Abstract

IMPORTANCE: Arsenic, a contaminant of groundwater and irrigated crops, is a global public health hazard. Exposure to low levels of arsenic through food extends well beyond the areas with high arsenic content in water.OBJECTIVE: To identify cognitive impairments following commonly prevalent low-level arsenic exposure and characterize their underlying brain mechanisms.DESIGN, SETTING, AND PARTICIPANTS: This multicenter population-based cohort study analyzed cross-sectional data of the Indian Consortium on Vulnerability to Externalizing Disorders and Addictions (cVEDA) cohort, recruited between November 4, 2016, and May 4, 2019. Participants aged 6 to 23 years were characterized using deep phenotyping measures of behavior, neuropsychology, psychopathology, brain neuroimaging, and exposure to developmental adversities and environmental neurotoxins. All analyses were performed between June 1, 2020, and December 31, 2021.EXPOSURE: Arsenic levels were measured in urine as an index of exposure.MAIN OUTCOMES AND MEASURES: Executive function measured using the cVEDA neuropsychological battery, gray matter volume (GMV) from T1-weighted magnetic resonance imaging, and functional network connectivity measures from resting state functional magnetic resonance imaging.RESULTS: A total of 1014 participants aged 6 to 23 years (589 male [58.1%]; mean [SD] age, 14.86 [4.79] years) were included from 5 geographic locations. Sparse-partial least squares analysis was used to describe a negative association of arsenic exposure with executive function (r = -0.12 [P = 5.4 × 10-4]), brain structure (r = -0.20 [P = 1.8 × 10-8]), and functional connectivity (within network, r = -0.12 [P = 7.5 × 10-4]; between network, r = -0.23 [P = 1.8 × 10-10]). Alterations in executive function were partially mediated by GMV (b = -0.004 [95% CI, -0.007 to -0.002]) and within-network functional connectivity (b = -0.004 [95% CI, -0.008 to -0.002]). Socioeconomic status and body mass index moderated the association between arsenic and GMV, such that the association was strongest in participants with lower socioeconomic status and body mass index.CONCLUSIONS AND RELEVANCE: The findings of this cross-sectional study suggest that low-level arsenic exposure was associated with alterations in executive functioning and underlying brain correlates. These results indicate potential detrimental consequences of arsenic exposure that are below the currently recommended guidelines and may extend beyond endemic risk areas. Precision medicine approaches to study global mental health vulnerabilities highlight widespread but potentially modifiable risk factors and a mechanistic understanding of the impact of low-level arsenic exposure on brain development.

Published
2023

49. Comparison of Anemia Screening Methods Using Paired Venous Samples in Women of Reproductive Age in Southern India

Author

Fothergill, Amy, primary, Crider, Krista S, additional, Johnson, Christina B, additional, Raj, Mical P, additional, Guetterman, Heather M, additional, Bose, Beena, additional, Rose, Charles E, additional, Qi, Yan P, additional, Williams, Jennifer L, additional, Kuriyan, Rebecca, additional, Bonam, Wesley, additional, and Finkelstein, Julia L, additional

Published
2022
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50. The Effect of Soy and Whey Protein Supplementation on Glucose Homeostasis in Healthy Normal Weight Asian Indians

Author

Sambashivaiah, Sucharita, Cope, Mark, Mukherjea, Ratna, Selvam, Sumithra, George, Nivya, Kuriyan, Rebecca, and Kurpad, Anura V.

Abstract

Milk and legumes are good source of protein foods used to sustain muscle mass, but their effects on postprandial glucose homeostasis and energy metabolism may be different. This is relevant, for example, in the dietetic response to obesity or diabetes, where the intake of high-quality protein is often increased significantly. The objective of this study was to characterize the acute effect of whey and soy protein (15% vs. 30%) on glucose homeostasis, energy metabolism, and satiety. Healthy, normal body mass index (BMI) Indian adult males aged 20–35 years (n = 15) received 4 test meals (2 proteins (soy vs. whey) and 2 doses (15% vs. 30% protein: energy ratio)). Blood samples were collected serially after the meal to calculate the incremental area under the curve for plasma glucose and insulin. Energy expenditure and substrate oxidation were measured after the meal. Satiety was measured with a visual analogue scale. The insulin response, represented by the incremental area under the curve, was significantly higher for the 30% whey compared to the 30% soy protein meal (p

Published
2023
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