Research Project: Preventing the Development of Childhood Obesity

Location: Children's Nutrition Research Center

2022 Annual Report

Objectives
An estimated 16% of US children are overweight and 17% are obese, and the prevalence continues to rise. Most obesity prevention interventions have been ineffective and additional research is needed. Researchers will conduct studies on: 1) characterize the food & activity environments in which teens in rural areas live, work, and play and their perceptions regarding obesity, challenges to eating healthfully and being physically active (PA), and ways in which technology might be useful in helping them engage in healthy behaviors; 2) in low-income Hispanic families with children, examine the following parent feeding and child eating behaviors based on data from an existing data set: the direction of effects between parent feeding styles and child eating behaviors; how parent feeding styles and child eating behaviors at baseline predict individual growth curve trajectories for child BMI across 3 time points; and how child eating behaviors interact with parent feeding styles in predicting child BMI over time; 3) assess the psychometrics of sub-scales of food and PA parenting and whether there is differential item functioning among a sample of ethnically and racially diverse fathers; 4) describe fathers' use of parenting practices that support healthful nutrition and PA for their children and how this varies by demographic factors, household responsibilities, and co-parenting alliance; 5) develop and assess the feasibility of child obesity prevention videos for mothers to better engage them during a father targeted obesity prevention program; 6) assess 3 aspects of infant temperament: a) surgency, negative affectivity, and affiliation/orienting by direct observation; b) infant eating behaviors as measured by several sucking parameters, for example maximal suck pressure, burst rate and reductions in pressure during bottle feeding, and c) infant adiposity by dual-energy x-ray absorptiometry, and characterize the associations between these traits; 7) the NHANES will be used to identify diet-related risk factors for obesity, and other health outcomes in children, adolescents, and adults specifically: identify eating patterns in children, adolescents and adults by gender and ethnicity; examine the association between eating patterns and obesity and related health risk factors; examine the impact of individual foods, nutrients, and food-specific patterns on obesity and health outcomes in children, adolescents, and adults; and identify the impact of eating patterns on dietary intake, nutrient adequacy, and diet quality; 8) examine the rural-urban differences in and associations between food security status, food availability, participation in federal nutrition assistance programs, dietary intake, and obesity among children across different age groups; 9) determine the relationship between children's physical activity, diet, sedentary behavior, and sleep, on summer weight gain in children and the impact of parenting on these behaviors; and 10) assess the feasibility and acceptability of a digital cooking intervention among low-income parents of 6-11 year-old children.

Approach
A multidimensional approach will be undertaken to address the obesity research conducted at the Children's Nutrition Research Center. A mixed methods research using a sequential explanatory design will be used to address the goals of understanding why rural adolescents have a higher prevalence of obesity than their urban counterparts. A secondary data analysis will be performed on data collected from a previous study to gain an insight on the direction of effects between parent feeding styles and child eating behaviors. A cross-sectional study of a racially/ethnically, income and educational diverse sample of fathers will be conducted to be able to better design food or physical activity parenting practice survey instruments for use amongst fathers. A cohort of infants from late preterm or full term births (>=36 weeks gestation) will be recruited and various observational studies will be conducted to monitor the infants’ temperament and correlation amongst the observations. Researchers will also perform secondary analysis using the 2011-2014 NHANES to compare weight and health risk outcome measures and nutrient intake with eating patterns in children, adolescents, and adults; using the 4 years of data will ensure an adequate sample size for the analyses. NHANES data from child as well as adult datasets on food security status will be used for the analyses to assess child as well as household food security status. And to better understand summer weight gain in children, researchers will review demographics, sleep, screen media use, meal patterns, physical activity, childcare arrangements and medication usage during summer via a structured parent interview. Researchers will use the Healthy Cooking Index to create a tailored, digital cooking intervention with the goal of improving cooking practices among low-income parents and, in turn, increasing the diet quality of their children.

Progress Report
To review the progress made during the year, please refer to the following projects: 3092-51000-063-01S (Project #1), 3092-51000-063-02S (Project #2), and 3092-51000-063-03S (Project #3).

Accomplishments
1. COVID-19 tremendously impacted Emergency Food Assistance Organizations' operations. With fewer volunteers and less person-to-person contact as well as a surge of Americans newly facing food insecurity during the COVID-19 pandemic, there was a tremendous shift in need and how the Emergency Food Assistance Organizations (EFAOs) operate. Researchers at the Children's Nutrition Research Center in Houston, Texas, conducted a study with the EFAOs that included food pantries and human service centers to assess the impact of COVID-19 on the EFAO’s overall operations. Our findings indicated that four major categories of change occurred due to COVID-19: new safety measures, changes in food distribution processes, changes in volunteerism and staffing, and changes in the amounts of food distributed. Our study helped identify and understand the tremendous social and economic challenges/changes incurred by the EFAOs in their operations (food procurement and distribution) to ensure food access to food insecure households, especially those with children. These findings can help inform policy makers and should be addressed to manage future emergency food insecurity crisis more effectively.

2. Children increase their height at a faster rate during school, but weight increases in a more consistent manner. Children have been shown to increase their body mass index (BMI) at a faster rate during summer compared to the school year, yet the extent to which height and weight gain follow this same pattern is unclear. Researchers at the Children's Nutrition Research Center in Houston, Texas, conducted a reanalysis of a dataset with measurement data for over 7,500 children during their five years of elementary school. We observed that children increased their height at a faster rate during the school year by about 0.05 cm per month compared to the summer, while weight gain remained more consistent. Because BMI is a value derived from the mass and height of an individual, the slower rate of height gain during summer combined with steady increases in weight contributed to the observed pattern of accelerated summer weight gain. Because rates of obesity increase during elementary school and weight increases in a consistent manner, these results suggest that children would benefit from obesity prevention efforts during both the school year and summer.

3. Participation in SNAP in addition to school meals does not improve diet quality among school aged children. Low-income households or individuals often rely on federal and community food and nutrition assistance programs to meet their dietary needs, and it is not unusual for eligible households to participate in more than one program. Two of the largest federal nutrition assistance programs administered by the Food and Nutrition Service of the USDA are the Supplemental Nutrition Assistance Program (SNAP, formerly the Food Stamp Program) and the School Meal Programs including National School Lunch Program (NSLP) and School Breakfast Program (SBP). Researchers at the Children's Nutrition Research Center in Houston, Texas, conducted a study to investigate the relationship between participation in school meals only and school meals plus SNAP combined and diet quality among a nationally representative sample of US children ages 5–18 years old. Results indicate that participation in school meals plus SNAP was not associated with higher overall diet quality compared to eligible non-participants or school meals only participants. More research is warranted to better understand the complex interplay between nutrition assistance program participation and diet quality for children from low-income families.

4. Mathematical modeling can be used to accurately predict children's circadian phase. Measuring changes in circadian physiology in children is extremely labor- and time-intensive as children must undergo a lab protocol in which hourly saliva samples are collected 7 hours before bedtime and ending an hour past their bedtime under dim light conditions. To address this problem, researchers at the Children's Nutrition Research Center in Houston, Texas, leveraged mathematical modeling approaches in the prediction of circadian parameters using wearable data collection devices. In a study comparison of circadian phase as assessed in the lab and using wearable data collection devices processed through a mathematical model, we found that the mathematical model was able to predict circadian phase within 31 minutes of the lab assessed circadian phase. This represents a significant improvement in the ability to predict circadian phase using wearable data collection devices as similar studies in adults report prediction errors of an hour or more. Our innovation may lead to the development of personalized smart phone/wearable interventions to promote healthier sleep and circadian rhythms in children and the potential application of such interventions in the prevention of accelerated summer weight gain.

5. There is little evidence that summertime obesity prevention interventions are effective. Children increase their body mass index (BMI) at a faster rate during summer compared to the school year suggesting a need for intervention, yet little is known about the effectiveness of existing interventions aimed at the prevention and treatment of obesity during summer. Researchers at the Children's Nutrition Research Center in Houston, Texas, conducted a systematic review and identified 45 interventions designed to either prevent accelerated summer weight gain or help reduce BMI during summer among children who have an unhealthy weight status. Our research uncovered that many studies lacked the scientific rigor to be included in our meta-analysis. Our findings suggest that overall, many studies were ineffective at improving children's BMI during the summer. Researchers should improve their design (more frequent measures) and reporting of findings to aid in future meta-analyses and additional work is needed to determine how interventions can better impact children's weight status during summer.

6. Infant smiles may indicate risk of excess weight gain. How an infant interacts with caregivers can shape the caregivers' feeding behaviors of the infant. Researchers at the Children's Nutrition Research Center in Houston, Texas, analyzed how much pleasure infants exhibited at four months of age during age-appropriate based games played either with their mother (peek-a-boo) or with study team members in the absence of their mother (puppet game), and took adiposity measurements concurrently, and at a year of age. Infants who made more happy noises and showed more happy facial expressions when playing with their mother had gained less weight at 12 months of age. The opposite was true for games played with strangers (members of our research team); babies who made these expressions of happiness in this game gained more weight by 12 months of age. These results provide new information about which infants might be at risk for rapid weight gain across the first year of life.

7. Adherence of a DASH diet reduces type 2 diabetes. Diet plays a major role in the development and prevention of type 2 diabetes (T2D). The development of diabetes is marked by sequential problems with several aspects of glucose homeostasis. Researchers at the Children’s Nutrition Research Center in Houston, Texas, asked a population of older US adults about what they had been eating over the past year, and created a score for each person, indicating how close their typical diet was to the Dietary Approaches to Stop Hypertension (DASH) diet. These scores were analyzed for their relationship to glycemic control, which indicates whether people are likely to be progressing towards a diagnosis of T2D. We found that adhering to a DASH diet improved glycemic control, and so likely reduces the risk of T2D, in the early stages of progression towards T2D, but not later ones, and all these health benefits were derived from the aspects of a DASH diet that encourage consuming more plant-based foods, not other components (e.g., consuming low-fat dairy). These results suggest that consuming plant-based foods may help prevent T2D in healthy individuals, but not once an individual has T2D, helping clinicians tailor dietary advice to the individual needs of their patients.

8. Flavored milk is not a bad beverage choice. To help address the low intake of nutrients of public health concern, the 2020 Dietary Guidelines for Americans recommend 2.5 servings of dairy products for 4-8 years old children and 3 servings for 9-18 years old. Researchers at the Children's Nutrition Research Center in Houston, Texas, conducted a secondary data analysis to examine the nutritional contribution of flavored milk in the diets of children. The most notable results showed that consumers of flavored milk had higher intakes of total energy, total sugars, and total added sugars compared to non-consumers; however, the amount of added sugars contributed by flavored milk was minimal. Consumers of flavored milk consumed more total milk (approximately one cup more) than non-consumers and had significantly higher intakes of fiber, vitamins D, A and B-12, riboflavin, calcium, potassium, magnesium and phosphorus than non-consumers. Based on data from this study, flavored milk is not a bad beverage choice because the nutritional benefits of flavored milk far outweigh the added sugar content.

Review Publications
Carreon, S.A., Cao, V.T., Anderson, B.J., Thompson, D.J., Marrero, D.G., Hilliard, M.E. 2021. 'I don't sleep through the night': Qualitative study of sleep in type 1 diabetes. Diabetic Medicine. https://doi.org/10.1111/dme.14763.
Short, E., Sharma, J., Thompson, D.J., Taren, D., Gonzalez, R., Hingle, M. 2022. Food assistance use among food bank clients affected by type 2 diabetes. Journal of Nutrition Education and Behavior. https://doi.org/10.1016/j.jneb.2021.11.001.
Robertson, M., Baranowski, T., Thompson, D.J., Basen-Engquist, K.M., Swartz, M., Lyons, E. 2021. Using the Behavior Change Wheel Program Planning model to design games for health: Development study. JMIR Serious Games. 9(4). Article e29964. https://doi.org/10.2196/29964.
Chumpitazi, C.E., Camp, E.A., Cuevas-Guaman, M., Doughty, C., Kancherla, B., Lingappan, K., Moran, N.E., Murray, K.O., Perez, O., Shekerdemian, L.S., O'Connor, T.M. 2022. Vision 2020: How caregiving and work productivity outlook shifted for academic pediatric faculty. Journal of Women's Health. https://doi.org/10.1089/jwh.2021.0555.
Wood, A.C., Senn, M.K., Beltran, A., Demet, R., Hughes, S.O., Thompson, D.J., O'Connor, T.M., Baranowski, T. 2021. Vegetable parenting practices vary by feeding styles among middle class mothers of young children. Appetite. https://doi.org/10.1016/j.appet.2021.105850.
Baranowski, T., Thompson, D.J., Hughes, S.O., O'Connor, T.M. 2021. Precision food parenting: A proposed conceptual model and research agenda. Nutrients. 13(10):3650. https://doi.org/10.3390/nu13103650.
Castro, A.N., White, M.A., Ishdorj, A., Thompson, D.J., Dave, J.M. 2021. The impact of the COVID-19 pandemic on food distribution at emergency food assistance organizations in the Southwestern United States: A qualitative investigation. Nutrients. 13(12). Article 4267. https://doi.org/10.3390/nu13124267.
Soltero, E.G., Navabi, N., Vander Wyst, K.B., Hernandez, E., Castro, F.G., Ayers, S.L., Mendez, J., Shaibi, G.Q. 2021. Examining 24-hour activity and sleep behaviors and related determinants in Latino adolescents and young adults with obesity. Health Education and Behavior. https://doi.org/10.1177/10901981211054789.
Chen, T.A., Retizel, L.R., Obasi, E.M., Dave, J.M. 2021. Did school meal programs and SNAP participation improve diet quality of US children from low-income households: Evidence from NHANES 2013-2014? Nutrients. 13(10). Article 3574. https://doi.org/10.3390/nu13103574.
Callender, C., Velazquez, D., Adera, M., Dave, J.M., Olvera, N., Chen, T.A., Alford, S., Thompson, D.J. 2021. Perspectives of Black and Hispanic children living in under-resourced communities on meal preparation and grocery shopping behaviors: Implications for nutrition education. International Journal of Environmental Research and Public Health. 18(22). Article 12199. https://doi.org/10.3390/ijerph182212199.
Beltran, A., Demet, R., Hughes, S.O., Wood, A.C., Thompson, D.J., O'Connor, T.M., Baranowski, T. 2022. Selection and use of vegetable parenting practices did not vary by parent feeding styles: Mixed methods investigation. Appetite. 170. Article 105883. https://doi.org/10.1016/j.appet.2021.105883.
Robertson, M.C., Lee, C.Y., Wu, I.H., Liao, Y., Raber, M., Parker, N., Gatus, L., Basen-Engquist, K.M. 2021. Changes in physical activity associated with the COVID-19 pandemic in individuals with overweight and obesity: An interrupted time series analysis with historical controls. Journal of Behavioral Medicine. https://doi.org/10.1007/s10865-021-00261-7.
Daniel, G.D., Chen, H., Bertoni, A.G., Rapp, S.R., Fitzpatrick, A.L., Luchsinger, J.A., Wood, A.C., Hughes, T.M., Burke, G.L., Hayden, K.M. 2021. DASH diet adherence and cognitive function: Multi-ethnic study of atherosclerosis. Clinical Nutrition ESPEN. https://doi.org/10.1016/j.clnesp.2021.10.004.
Raber, M., Ranjit, N., Strong, L.L., Basen-Engquist, K. 2022. Home cooking quality assessment tool validation using community science and crowdsourcing approaches. Journal of Nutrition Education and Behavior. https://doi.org/10.1016/j.jneb.2021.10.002.
Radhakrishnan, K., Julien, C., Baranowski, T., O'Hair, M., Lee, G., Sagna De Main, A., Allen, C., Viswanathan, B., Thomaz, E., Kim, M. 2021. Feasibility of a sensor-controlled digital game for heart failure self-management: Randomized controlled trial. JMIR Serious Games. 9(4). Article e29044. https://doi.org/10.2196/29044.
Robertson, M.C., Swartz, M.C., Christopherson, U., Bentley, J.R., Basen-Engquist, K.M., Thompson, D.J., Volpi, E., Lyons, E.J. 2022. A photography-based, social media walking intervention targeting autonomous motivations for physical activity: Semistructured interviews with older women. JMIR Serious Games. 10(2). Article e35511. https://doi.org/10.2196/35511.
Deslippe, A.L., O'Connor, T.M., Brussoni, M., Masse, L.C. 2022. The association of food parenting practices with adolescents' dietary behaviors differ by youth gender, but not by parent gender. Appetite. 169. Article 105846. https://doi.org/10.1016/j.appet.2021.105846.
Song, S., Ishdorj, A., Dave, J.M. 2021. Gender differences in nutritional quality and consumption of lunches brought from home to school. International Journal of Environmental Research and Public Health. 18(24). Article 13168. https://doi.org/10.3390/ijerph182413168.
Gomes, A.I., Pereira, A.I., Guerreiro, T., Branco, D., Roberto, M.S., Pires, A., Sousa, J., Baranowski, T., Barros, L. 2021. SmartFeeding4Kids, an online self-guided parenting intervention to promote positive feeding practices and healthy diet in young children: Study protocol for a randomized controlled trial. Trials. 22. Article 930. https://doi.org/10.1186/s13063-021-05897-z.
Murphy, R.A., Tintle, N., Harris, W.S., Darvishian, M., Marklund, M., Virtanen, J.K., Hantunen, S., de Mello, V.D., Tuomilehto, J., Lindstrom, J., Bolt, M.A., Brouwer, I.A., Wood, A.C., Senn, M., Redline, S., Tsai, M.Y., Gudnason, V., Eiriksdottir, G., Lindberg, E., Shadyab, A.H., Liu, B., Carnethon, M., Uusitupa, M., Djousse, L., Riserus, U., Lind, L., van Dam, R.M., Koh, W.P., Shi, P., Siscovick, D., Lemaitre, R.N., Mozaffarian, D. 2021. Omega-3 and omega-6 polyunsaturated fatty acid biomarkers and sleep: A pooled analysis of cohort studies. American Journal of Clinical Nutrition. https://doi.org/10.1093/ajcn/nqab408.
Basen-Engquist, K., Raber, M., Strong, L.L., Schembre, S., Li, L., Arun, B., Lu, K., You, N., Vilar, E., Lynch, P., Fares, S., Peterson, S.K. 2021. Optimization of an mHealth lifestyle intervention for families with hereditary cancer syndromes: Study protocol for a multiphase optimization strategy feasibility study. Contemporary Clinical Trials. https://doi.org/10.1016/j.cct.2021.106662.
Nicklas, T.A., Saab, R., Fulgoni III, V.L. 2021. Is flavored milk really a bad beverage choice? The nutritional benefits of flavored milk outweigh the added sugars content. Acta Scientific NUTRITIONAL HEALTH. 6(1):114-132. https://doi.org/10.31080/ASNH.2022.06.0985.
Lai, H.T., Imamura, F., Ardisson Korat, A.V., Murphy, R.A., Tintle, N., Bassett, J.K., Chen, J., Kröger, J., Chien, K.L., Senn, M., Wood, A.C., Forouhi, N.G., Schulze, M.B., Harris, W.S., Vasan, R.S., Hu, F., Giles, G.G., Hodge, A., Djousse, L., Brouwer, I.A., Qian, F., Sun, Q., Wu, J.H., Marklund, M., Lemaitre, R., Siscovick, D.S., Fretts, A.M., Shadyab, A.H., Manson, J.E., Howard, B.V., Robinson, J.G., Wallace, R.B., Wareham, N.J., Chen, Y.D., Rotter, J.I., Tsai, M.Y., Micha, R., Mozaffarian, D. 2022. Trans fatty acid biomarkers and incident type 2 diabetes: Pooled analysis of 12 prospective cohort studies in the Fatty Acids and Outcomes Research Consortium (FORCE). Diabetes Care. 45(4):854-863. https://doi.org/10.2337/dc21-1756.
Wood, A.C., Arora, A., Newell, M., Bland, V.L., Zhou, J., Pirastu, N., Ordovas, J.M., Klimentidis, Y.C. 2022. Identification of genetic loci simultaneously associated with multiple cardiometabolic traits. Nutrition Metabolism and Cardiovascular Disease. https://doi.org/10.1016/j.numecd.2022.01.002.
Pimental, J.L., Vander Wyst, K.B., Soltero, E.G., Pena, A., Hu, H.H., Bailey, S., Pokorney, A., Ayers, S., Valenicia, A.M., Olson, M.L., Shaibi, G.Q. 2022. Organ fat in Latino youth at risk for type 2 diabetes. Pediatric Diabetes. https://doi.org/10.1111/pedi.13311.
Kennelly, A.M., McIntyre, B., Wood, A.C., Monteiro, S., Voigt, R.G. 2022. Patient satisfaction in neurodevelopmental pediatrics: In-person versus telemedicine. Journal of Child Neurology. https://doi.org/10.1177/08830738221075451.
Lam, S.Y., Mommersteeg, M.C., Yu, B., Broer, L., Spaander, M.C., Frost, F., Weiss, S., Volzke, H., Lerch, M.M., Schöttker, B., Zhang, Y., Stocker, H., Brenner, H., Levy, D., Hwang, S.J., Wood, A.C., Rich, S.S., Rotter, J.I., Taylor, K.D., Tracy, R.P., Kabagambe, E.K., Leja, M., Klovins, J., Peculis, R., Rudzite, D., Nikitina-Zake, L., Skenders, G., Rovite, V., Uitterlinden, A., Kuipers, E.J., Fuhler, G.M., Homuth, G., Peppelenbosch, M.P. 2022. Toll-like receptor 1 locus re-examined in a genome-wide association study update on anti-Helicobacter pylori IgG titers. Gastroenterology. https://doi.org/10.1053/j.gastro.2022.01.011.
Foster, E., Bekelman, T., Baranowski, T., Perng, W. 2022. Methods for dietary assessment in children 6-11 year olds. In Callahan, E.A., editors. Approaches to Assessing Intake of Food and Dietary Supplements in Pregnant Women and Children 2 to 11 Years of Age: Proceedings of a Workshop Series. Washington, DC: The National Academies Press. p. 47-70. https://doi.org/10.17226/26374.
Song, I.W., Nagamani, S.C., Nguyen, D., Grafe, I., Sutton, V.R., Gannon, F.H., Munivez, E., Jiang, M.M., Tran, A., Wallace, M., Esposito, P., Musaad, S., Strudthoff, E., McGuire, S., Thornton, M., Shenava, V., Rosenfeld, S., Shypailo, R., Orwoll, E., Lee, B. 2022. Targeting TGF-beta for treatment of osteogenesis imperfecta. Journal of Clinical Investigation. 132(7). Article e152571. https://doi.org/10.1172/JCI152571.
Szeszulski, J., Lorenzo, E., Todd, M., O'Connor, T.M., Hill, J., Shaibi, G.Q., Vega-Lopez, S., Buman, M.P., Hooker, S.P., Lee, R.E. 2022. Early care and education center environmental factors associated with product- and process-based locomotor outcomes in preschool-age children. International Journal of Environmental Research and Public Health. 19. Article 2208. https://doi.org/10.3390/ijerph19042208.
Jia, W., Ren, Y., Li, B., Beatrice, B., Que, J., Cao, S., Wu, Z., Mao, Z.H., Lo, B., Anderson, A.K., Frost, G., McCrory, M.A., Sazonov, E., Steiner-Asiedu, M., Baranowski, T., Burke, L.E., Sun, M. 2022. A novel approach to dining bowl reconstruction for image-based food volume estimation. Sensors. 22. Article 1493. https://doi.org/10.3390/s22041493.
Rimbach, R., Yamada, Y., Sagayama, H., Ainslie, P.N., Anderson, L.F., Anderson, L.J., Arab, L., Baddou, I., Bedu-Addo, K., Blaak, E.E., Blanc, S., Bonomi, A.G., Bouten, C.V., Bovet, P., Buchowski, M.S., Butte, N.F., Camps, S.G., Close, G.L., Cooper, J.A., Das, S.K., Dugas, L.R., Ekelund, U., Entringer, S., Forrester, T., Fudge, B.W., Goris, A.H., Gurve, M., Hambly, C., El Hamdouchi, A., Hoos, M.B., Hu, S., Joonas, N., Joosen, A.M., Katzmarzyk, P., Kempen, K.P., Kimura, M., Kraus, W.E., Kushner, R.F., Lambert, E.V., Leonard, W.R., Lessan, N., Martin, C.K., Medin, A.C., Meijer, E.P., Morehen, J.C., Morton, J.P., Neuhouser, M.L., Nicklas, T.A., Ojiambo, R.M., Pietilainen, K.H., Pitsiladis, Y.P., Plange-Rhule, J., Plasqui, G., Prentice, R.L., Rabinovich, R.A., Racette, S.B., Raichlen, D.A., Ravussin, E., Reynolds, R.M., Roberts, S.B., Shuit, A.J., Sjodin, A.M., Stice, E., Urlacher, S.S., Valenti, G., Van Etten, L.M., Van Mil, E.A., Wells, J.C., Wilson, G., Wood, B.M., Yanovski, J., Yoshida, T., Zhang, X., Murphy-Alford, A.J., Loechl, C.U., Luke, A.H., Rood, J., Schoeller, D.A., Westerterp, K.R., Wong, W.W., Speakman, J.R., Pontzer, H, and the IAEA DLW Database Consortium. 2022. Total energy expenditure is repeatable in adults but not associated with short-term changes in body composition. Nature Communications. 13. Article 99. https://doi.org/10.1038/s41467-021-27246-z.
Soltero, E.G., Larkey, L.K., Kim, W.S., Rosales Chavez, J.B., Lee, R.E. 2022. Latin dance and Qigong/Tai Chi effects on physical activity and body composition in breast cancer survivors: A pilot study. Complementary Therapies in Clinical Practice. https://doi.org/10.1016/j.ctcp.2022.101554.
Ramesh, G., Wood, A.C., Allison, M.A., Rich, S.S., Jensen, E.T., Rotter, J.I., Bertoni, A.G., Goodarzi, M.O. 2022. Associations between adherence to the Dietary Approaches to Stop Hypertension (DASH) diet and six glucose homeostasis traits in the Microbiome and Insulin Longitudinal Evaluation Study (MILES). Nutrition Metabolism and Cardiovascular Disease. https://doi.org/10.1016/j.numecd.2022.03.014.
Moreno, J.P., Hannay, K.M., Walch, O., Dadabhoy, H., Christian, J., El-Mubasher, A., Bacha, F., Grant, S.R., Park, R.J., Cheng, P. 2022. Estimating circadian phase in elementary school children: Leveraging advances in physiologically-informed models of circadian entrainment and wearable devices. Sleep. https://doi.org/10.1093/sleep/zsac061.
Warner, E.L., Basen-Engquist, K.M., Badger, T.A., Crane, T.E., Raber-Ramsey, M. 2022. The online cancer nutrition misinformation: A framework of behavior change based on exposure to cancer nutrition misinformation. CANCER. https://doi.org/10.1002/cncr.34218.
Perez, L., Vizcarra, M., Hughes, S.O., Papaioannou, M.A. 2022. Food parenting practices and feeding styles, and their relations with weight status in children in Latin America and the Caribbean. International Journal of Environmental Research and Public Health. 19(4). Article 2027. https://doi.org/10.3390/ijerph19042027.
Papaioannou, M.A., Micheli, N., Power, T.G., Fisher, J.O., Hughes, S.O. 2022. Associations between independent assessments of child appetite self-regulation: A narrative review. Frontiers in Nutrition. 8. Article 810912. https://doi.org/10.3389/fnut.2021.810912.
Power, T.G., Fisher, J.O., O'Connor, T.M., Micheli, N., Papaioannou, M.A., Hughes, S.O. 2021. Self-regulatory processes in early childhood as predictors of Hispanic children's BMI z-scores during the elementary school years: Differences by acculturation and gender. Appetite. 168. Article 105778. https://doi.org/10.1016/j.appet.2021.105778.
Cerminaro, C., Sazonov, E., McCrory, M., Steiner-Asiedu, M., Bhaskar, V., Gallo, S., Laing, E., Jia, W., Sun, M., Baranowski, T., Frost, G., Lo, B., Kojo Anderson, A. 2022. Feasibility of the Automatic Ingestion Monitor (AIM-2) for infant feeding assessment: A pilot study among breastfeeding mothers from Ghana. Public Health Nutrition. https://doi.org/10.1017/S1368980022001264.
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Jensen, E.T., Bertoni, A.G., Crago, O.L., Rotter, J.I., Chen, Y.D., Wood, A., Rich, S.S., Goodarzi, M.O. 2022. Cesarean delivery and insulin sensitivity in the older adult: The Microbiome and Insulin Longitudinal Evaluation Study. Journal of the Endocrine Society. https://doi.org/10.1210/jendso/bvac072.
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