Education

  • Ph.D., Louisiana State University, Baton Rouge, LA, 2001, Clinical Psychology
  • M.S., Eastern Washington University, Cheney, WA, 1996, Clinical Psychology
  • B.A., Eastern Washington University, Cheney, WA, 1994, Psychology

Research Interests

I direct the Ingestive Behavior, Weight Management, & Health Promotion Laboratory, as well as the Human Phenotyping Core of Pennington Biomedical’s NIH-funded Nutrition Obesity Research Center (NORC).

I regularly conduct studies that involve in depth phenotyping of human participants, and I have extensive experience conducting interventions to modify health behaviors and outcomes, including food intake, exercise, and body weight. My research also includes the application of technology to assess and modify participants’ behavior through mobile health (mHealth) interventions while participants live at home. I was part of a team that developed and validated mathematical models that predict body mass change over time in response to dieting and overfeeding, and we then applied these models to quantify adherence to energy intake prescriptions.

We incorporated this approach into clinic-based and mHealth weight management interventions, including SmartLoss®, a weight loss intervention that is remotely delivered via internet-connected devices (e.g., smartphones), and SmartMoms®, a weight management program to promote recommended levels of gestational weight gain among pregnant women. Our SmartLoss intervention was further adapted in a pragmatic trial to deliver effective weight loss treatment to patients with low health literacy in outpatient clinics throughout the State of Louisiana. Finally, I develop and validate novel methods to assess health behaviors, and these assessment platforms provide the basis for mHealth interventions. To assess food intake, I developed and validated the Remote Food Photography Method© (RFPM) and SmartIntake® smartphone app, which accurately measures the food intake of adults and children based on images of foods captured by participants. More recently, my colleagues and I developed the FoodImage™ app to measure household-level food waste, and the PortionSize™ app to automatically provide feedback to users about portion size, food intake, and dietary adherence in real time. Lastly, via a collaboration with colleagues from Virginia Commonwealth University and East Carolina University, we developed eCigTracker, a novel smartphone app that quantifies e-cigarette users’ device and liquid characteristics remotely and in real-time.

Department: Ingestive Behavior Laboratory

Selected Publications

  1. Dibiano, R., Gunturk, B. K., & Martin, C. K. (2013). Food image analysis for measuring food intake in free living conditions. Proc. SPIE 8669, Medical Imaging 2013: Image Processing, 86693N.
  2. Brouillette, R. M., Foil, H. C., Fontenot, S., Correro, A., Allen, R., Martin, C. K., Bruce-Keller, A. J., & Keller, J. (2013). Feasibility, reliability, and validity of a smartphone based application for the assessment of cognitive function in the elderly. PLOS ONE, 8(6):e65925. PMID: 23776570. PMCID: PMC3679011. DOI: 10.137/journal.pone.0065925.
  3. Harrington, D. M., Martin, C. K., Ravussin, E., Katzmarzyk, P. T. (2013). Activity related energy expenditure, appetite and energy intake: Potential implications for weight management. Appetite, 67:1-7. PMID: 23523668. PMCID: PMC3660416. DOI: 10.1016/j.appet.2013.03.005.
  4. Rebello, C. J., Johnson, W. D., Martin, C. K., Xie, W., O’Shea, M., Kurilich, A., Bordenave, N., Andler, S., Willem van Klinken, B. J., Chu, Y-F., & Greenway, F. L. (2013). Acute effect of oatmeal on subjective measures of appetite and satiety compared to a ready-to-eat breakfast cereal: A randomized crossover trial. Journal of the American College of Nutrition, 32(4):272-9. PMID: 24024772. DOI: 10.1080/07315724.2013.816614.
  5. Thomas, D. M., Martin, C. K., Lettieri, S., Bredlau, C., Church, T., Bouchard, C. & Heymsfield, S. B. (2013). Can a weight loss of one pound a week be achieved with a 3,500 kcal deficit? Commentary on a commonly accepted rule. International Journal of Obesity, 37(12):1611-3. PMID: 23628852. PMCID: PMC4024447. DOI: 10.1038/ijo.2013.51.
  6.  Martin, C. K., Nicklas, T., Gunturk, B., Correa, J. B., Allen, H. R., & Champagne, C. (2014). Measuring food intake with digital photography. Journal of Human Nutrition and Dietetics, 27 Suppl 1:72-81. PMID: 23848588. PMCID: PMC4138603. DOI: 10.1111/jhn.12014.
  7. Slack, T., Myers, C.A., Martin, C. K., & Heymsfield, S. B. (2014). The geographic concentration of adult obesity prevalence in the U.S. and associated social, economic, and environmental factors. Obesity, 22(3):868-74. PMID: 23630100. DOI: 10.1002/oby.20502.
  8. Thomas, D. M., Weedermann, M., Fuemmeler, B, Martin, C. K., Dhurandhar, N., Bredlau, C., Heymsfield, S., Ravussin, E., & Bouchard, C. (2014). Dynamic model predicting overweight, obesity, and extreme obesity prevalence trends. Obesity, 22(2):590-7. PMID: 23804487. PMCID: PMC3842399. DOI: 10.1002/oby.20520.
  9. Apolzan, J. W., Bray, G. A., Hamilton, M. T., Zderic, T. W., Han, H., Champagne, C. M., Shepard, D., & Martin, C. K. (2014). Short-term overeating results in incomplete energy intake compensation regardless of energy density or macronutrient composition. Obesity, 22(1):119-30. PMID: 23913807. PMCID: PMC3873377. DOI: 10.1002/oby.20587.
  10. Tudor-Locke, C., Swift, D. L., Schuna, J., Dragg, A., Davis, A., Martin, C. K., Johnson, W., Church, T. (2014). WalkMore: A randomized controlled trial of pedometer-based interventions differing on intensity messages. BMC Public Health, 14:168. PMID: 24528783. PMCID: PMC3931482. DOI: 10.1186/1471-2458-14-168.
  11. Redman, L. M, Kraus, W. E., Bhapkar, M., Das, S. K., Martin, C. K., Fontana, L., Wong, W. W., Roberts, S. B., & Ravussin, E., for the CALERIE Study Group (2014). Energy requirements in non-obese men and women: Results from CALERIE. The American Journal of Clinical Nutrition, 99:71-8. PMID: 24257721. PMCID: PMC3862460.
  12. Rebello, C. J., Chu, Y-F, Johnson, W. D., Martin, C. K., Han, H., Bordenave, N., Shi, Y., O’Shea, M., & Greenway, F. L. (2014).The role of meal viscosity and oat beta-glucan characteristics in human appetite control: A randomized crossover trial. Nutrition Journal, 13:49. PMID: 24884934. PMCID: PMC4052334. DOI: 10.1186/1475-2891-13-49.
  13. Myers, C. A., Johnson, W. D., Earnest, C. P., Rood, J. C., Tudor-Locke, C., Johannsen, N. M., Cocreham, S., Harris, M., Church, T. S., & Martin, C. K. (2014). Examination of mechanisms (E-MECHANIC) of exercise-induced weight compensation: study protocol for a randomized controlled trial. Trials, 15:212. PMID: 24906459. PMCID: PMC4057557. DOI: 10.1186/1745-6215-15-212.
  14. Tudor-Locke, C., Hendrick, C., Duet, M., Swift, D., Schuna, J., Martin, C. K., Johnson, W., Church, T. (2014). Implementation and adherence issues in a real-world workplace treadmill desk intervention. Applied Physiology, Nutrition, and Metabolism, 39(10):1104-11. PMID: 24993352. DOI: 10.1139/apnm-2013-0435.
  15. Thomas, D. M., Martin, C. K., Redman, L. M., Heymsfield, S. B., Lettieri, S., Levine, J. A., Bouchard, C., & Schoeller, D. A. (2014). The effect of dietary adherence on the body weight plateau: A mathematical model incorporating intermittent compliance with energy intake prescription. American Journal of Clinical Nutrition, 100(3):787-95. PMID: 25080458. PMCID: PMC4135489. DOI: 10.3945/ajcn.113.079822.
  16. Schuna, J. M. Jr., Swift, D. L., Hendrick, C. A., Duet, M. T., Johnson, W. D., Martin, C. K., Church, T. S., & Tudor-Locke, C. (2014). Evaluation of a workplace treadmill desk intervention: A randomized controlled trial. Journal of Occupational and Environmental Medicine, 56(12):1266-76. PMID: 25479296. DOI: 10.1097/JOM.0000000000000336.
  17. Martin, C.K. & Gadde, K.M. (2014). Weight loss: Slow and steady does not win the race. Lancet Diabetes and Endocrinology, 2(12):927-8. PMID: 25459210. DOI: 10.1016/S2213-8587(14)70153-6.
  18. Apolzan, J. W., Bray, G. A., Smith, S. R., de Jonge, L., Rood, J., Han, H., Redman, L. R., & Martin, C. K. (2014). Effects of weight gain induced by controlled overfeeding on physical activity. American Journal of Physiology - Endocrinology and Metabolism, 307(11):E1030-7. PMID: 25294214. PMCID: PMC4254990. DOI: 10.1152/ajpendo.00386.2014.
  19. Myers, C. A., Slack, T., Martin, C. K., Broyles, S. T., & Heymsfield, S. B. (2015). Regional disparities in obesity prevalence in the United States: A spatial regime analysis. Obesity 23(2):481-7. PMID: 25521074. PMCID: PMC4310761. DOI: 10.1002/oby.20963.
  20. Thomas, D. M., Ivanescu, A. E., Martin, C. K., Heymsfield, S. B., Marshall, K., Bodrato, V. E., Williamson, D. A., Anton, S. D., Sacks, F. M., Ryan, D., & Bray, G. A. (2015). Predicting successful long-term weight loss from short-term weight-loss outcomes: new insights from a dynamic energy balance model (the POUNDS Lost Study). American Journal of Clinical Nutrition, 101(3):449-54. PMID: 25733628. PMCID: PMC4340057. DOI: 10.3945/ajcn.114.091520.
  21. Martin, C. K., Miller, A. C., Thomas, D. M., Champagne, C. M., Han, H., & Church, T. S. (2015). Efficacy of SmartLoss, a smartphone-based weight loss intervention: Results from a randomized controlled trial. Obesity 23(5):935-42. PMID: 25919921. PMCID: PMC4414058. DOI: 10.1002/oby.21063.
  22. Sanghvi, A, Redman, L. M., Martin, C. K., Ravussin, E., & Hall, K. D. (2015). Validation of an inexpensive and accurate mathematical method to measure long-term changes in free-living energy intake. American Journal of Clinical Nutrition, 102(2):353-8. PMID: 26040640. PMCID: PMC4515869. DOI: 10.3945ajcn.115.111070.
  23. Ravussin, E., Redman, L. M., Rochon, J, Das, S. K., Fontana, L., Kraus, W. E., Romashkan, S., Williamson, D. A., Meydani, S. N., Villareal, D. T., Smith, S. R., Stein, R. I., Scott, T. M., Stewart, T. M., Saltzman, E., Klein, S., Bhapkar, M., Martin, C. K., Gilhooly, C. H., Holloszy, J. O., Hadley, E. C., & Roberts, S. B. for the CALERIE Study Group (2015). A two-year randomized controlled trial of human caloric restriction: feasibility and effects on predictors of health span and longevity. Journal of Gerontology: Medical Sciences, 70(9):1097-104. PMID: 26187233.
  24. Sloan, R. A., Sawada, S. S., Martin, C. K., & Haaland, B. A. (2015). Combined association of fitness and central adiposity with health-related quality of life in healthy men: A cross-sectional study. Health and Quality of Life Outcomes, 13:188. PMID: 26596541. PMCID: PMC4657297. DOI: 10.1186/s12955-015-0385-3.
  25. Bray, G. A., Redman, L. M, de Jonge, L., Covington, J., Rood, J., Brock, C., Mancuso, S., Martin, C. K., & Smith, S. R. (2015). Effect of protein overfeeding on energy expenditure measured in a metabolic chamber. The American Journal of Clinical Nutrition, 101(3):496-505. PMID: 25733634. DOI: 10.3945/ajcn.114.091769.
  26. Rebello, C. J., Johnson, W. D., Martin, C. K., Han, H., Chu, Y., Bordenave, N., van Klinken, B. J. W., O’Shea, M., & Greenway, F. L. (2016). Instant oatmeal increases satiety and reduces energy intake compared to a ready-to-eat oat-based breakfast cereal: A randomized crossover trial. Journal of the American College of Nutrition, 35(1):41-9. PMID: 26273900. PMCID: PMC4674378. DOI: http://dx.doi.org/10.1080/07315724.2015.1032442.
  27. Martin, C. K., Gilmore, A., Apolzan, J. W., Myers, C. A., Thomas, D M., & Redman, L. M. (2016). SmartLoss®: A personalized mobile health intervention for weight management and health promotion. Journal of Medical Internet Research: mHealth and uHealth, 4(1):e18. PMID: 26983937. PMCID: PMC4834738. DOI: 10.2196/mhealth.5027.
  28. Martin, C. K., Bhapkar, B., Pittas, A. G., Pieper, C. F., Das, S. K., Williamson, D. A., Scott, T., Redman, L. M., Stein, R., Gilhooly, C. H., Stewart, T., Robinson, L., & Roberts, S. B. for the CALERIE Phase 2 Study Group (2016). Effect of calorie restriction on mood, quality of life, sleep, and sexual function in healthy nonobese adults: The CALERIE 2 randomized clinical trial. JAMA Intern Med, 176(6):743-52. PMID: 27136347. PMCID: PMC4905696. DOI: 10.1001/jamainternmed.2016.1189.
  29. Staiano, A. E., Marker, A. M., Frelier, J. M., Hsia, D. S., & Martin, C. K. (2016). Influence of screen-based peer modeling on preschool children’s vegetable consumption and preferences. Journal of Nutrition Education and Behavior, 48(5):331-335. PMID: 26992483. PMCID: PMC4865424. DOI: 10.1016/j.jneb.2016.02.005.
  30. Correa, J. B., Apolzan, J. W., Shepard, D. N., Heil, D. N., Rood, J. C., & Martin, C. K. (2016). Evaluation of the ability of three physical activity monitors to predict weight change and to estimate energy expenditure. Applied Physiology, Nutrition, and Metabolism, 41(7):758-66 DOI 10.1139/apnm-2015-0461. PMID: 27270210. PMCID: PMC4936932.
  31. Apolzan, J. W., Myers, C. A.., Cowley, A. D., Brady, H., Hsia, D. S., Stewart, T. M., Redman, L. M., & Martin, C. K. (2016). Examination of the reliability and validity of The Mindful Eating Questionnaire in pregnant women. Appetite, 100, 142-51. PMID: 26879222. PMCID: PMC4814227. DOI: 10.1016/j.appat.2016.02.025.
  32. Schuna, J. M. Jr., Tudor-Locke, C., Proença, M., Barreira, T. V., Hsia, D. S., Pitta, F., Vatsavai, P., Guidry, R. D. Jr., Magnusen, M. R., Cowley, A. D., & Martin, C. K. (2016). Validation of an integrated pedal desk and electronic behavior tracking platform. BMC Res Notes, 9:74. PMID: 26857115. PMCID: PMC4746820. DOI: 10.1186/s13104-016-1882-0.
  33. Duhé, A. F., Gilmore, L. A., Burton, J. H., Martin, C. K., & Redman, L. (2016). The Remote Food Photography Method accurately estimates dry powdered foods—the source of calories for many infants. Journal of the Academy of Nutrition and Dietetics, 116(7):1172-7. PMID: 26947889. PMCID: PMC4921273. DOI: 10.2016/j.jand.2016.01.011.
  34. Myers, C. A., Slack, T, Martin, C. K., Broyles, S. T., & Heymsfield, S. B. (2016). Change in obesity prevalence across the United States is influenced by recreational and healthcare contexts, food environments, and Hispanic populations. PLOS ONE, 5;11(2):e0148394. PMID: 26849803. PMCID: PMC4743954. DOI: 10.1371/journal.pone.0148394.
  35. Staiano, A. E., Marker, A. M., Martin, C. K., & Katzmarzyk, P. T. (2016). Physical activity, mental health, and weight gain in a longitudinal observational cohort of non-obese young adults. Obesity, 24(9):1969-75. PMID: 27465398. PMCID: PMC5308059. DOI: 10.1002/oby.21567.
  36. Altazan, A. D., Gilmore, L. A., Burton, J. H., Ragusa, S. A., Apolzan, J. W., Martin, C. K., & Redman, L. M. (2016). Development and application of the Remote Food Photography Method to measure food intake in exclusively milk fed infants: A laboratory-based study. PLOS ONE, 11(9):e0163833. PMID: 27684949. PMCID: PMC5042558. DOI: 10.137/journal.pone.0163833.
  37. Peterson, C. M., Apolzan, J. W., Wright, C. & Martin, C. K. (2016). Video chat technology to remotely quantify dietary, supplement, and medication adherence in clinical trials. British Journal of Nutrition, 116(9):1646-1655. PMID: 27753427. PMCID: PMC5282970. DOI: 10.1017/S0007114516003524.
  38. Myers, C. A., Keller, J. N., Allen, H. R., Brouillette, R. M., Foil, H., Davis, A. B., Greenway, F. L., Johnson, W. D., & Martin. C. K. (2016). Reliability and validity of a novel internet-based battery to assess mood and cognitive function in the elderly. Journal of Alzheimer’s Disease, 54(4):1359-1364. PMID: 27589529. PMCID: PMC5175476. DOI: 10.3233/JAD-160441.
  39. Martin C. K., Bhapkar M., Roberts S. B., & the CALERIE Study Group (2016). Healthy behaviors potentially due to calorie restriction-reply. JAMA Intern Med, 176(11):1724. PMID: 27820645. DOI: 10.1001/jamainternmed.2016.6201.
  40. Myers, C. A., Slack, T., Broyles, S. T., Heymsfield, S. B., Church, T. S., & Martin, C. K. (2017). Diabetes prevalence is associated with different community factors in the diabetes belt versus the rest of the United States. Obesity, 25(2):452-459. PMID: 28009108. PMCID: PMC5269515. DOI:10.1002/oby.21725.
  41. Thomas, D. M., Paynter, J., Peterson, C. M., Heymsfield, S. B., Nduati, A., Apolzan, J. W., & Martin, C. K. (2017). A new universal dynamic model to describe eating rate and cumulative intake curves. American Journal of Clinical Nutrition, 105(2):323-331. PMID: 28077377. PMCID: PMC5267295. DOI: 10.3945/ajcn.115.127811.
  42. Katzmarzyk, P. T., Lee, I-M, Martin, C. K., & Blair, S. N. (2017). Epidemiology of physical activity and exercise training in the United States. Progress in Cardiovascular Diseases, 60(1)3-10. PMID: 28089610. DOI: 10.1016/j.pcad.2017.01.004.as, S.K., Roberts, S. B., Rochon, J., Bhapkar, M. V., Villareal, D. T., Fontana, L., Martin, C. K., Racette, S. B., Fuss, P. J., Kraus, W. E., Wong, W. W., Saltzman, E., Pieper, C. F., Fielding, R., Schwartz, A. V., Ravussin, E., & Redman, L. M. (2017). Body-composition changes in the Comprehensive Assessment of Long-term Effects of Reducing Intake of Energy (CALERIE)-2 study: a 2-y randomized controlled trial of calorie restriction in nonobese humans. American Journal of Clinical Nutrition, 105(4):913-927. PMID: 28228420. PMCID: PMC5366044. DOI: 10.3945/ajcn.116.137232
  43. Marlatt, K. L., Redman, L. M., Burton, J. H., Martin, C. K., & Ravussin, E. (2017). Persistence of weight loss and acquired behaviors 2 y after stopping a 2-y calorie restriction intervention. American Journal of Clinical Nutrition, 105(4):928-935. PMID: 28275127. PMCID: PMC5366052. DOI: 10.3945/ajcn.116.146837.
  44. Apolzan, J. W., Myers, C. A., Champagne, C. M., Beyl, R. A., Raynor, H. A., Anton, S. A., Williamson, D. A., Sacks, F. M., Bray, G. A., & Martin, C. K. (2017). Frequency of consuming foods predicts changes in cravings for those foods during weight loss: The POUNDS Lost Study. Obesity, 25(8):1343-1348. PMID: 28618170. PMCID: PMC5529244. DOI: 10.1002/oby.21895.
  45. Kahathuduwa, C. N., Binks, M., Martin, C. K., & Dawson, J. A. (2017). Extended calorie restriction suppresses overall and specific food cravings: A systematic review and a meta-analysis. Obesity Reviews, 18(10):1122-1135. PMID: 28557246. PMCID: PMC6226249. DOI: 10.1111/obr.12566.
  46. Gilmore, L. A., Klempel, M. C., Martin, C. K., Myers, C. A., Burton, J. H., Sutton, E. F., & Redman, L. M. (2017). Personalized mobile health intervention for health and weight loss in postpartum women receiving Women, Infants, and Children Benefit: A randomized controlled pilot study. J Womens Health, 26(7):719-727. PMID: 28338403. PMCID: PMC5512465. DOI: 10.1089/jwh.2016.5947.
  47. Racette, S. B., Rochon, J., Uhrich, M. L., Villareal, D. T., Krupa Das, S., Fontana, L., Bhapkar, M., Martin, C. K., Redman, L. M., Fuss, P. J., Roberts, S. B., & Kraus, W. E. for the CALERIE Study Group (2017). Effects of two years of calorie restriction on aerobic capacity and muscle strength. MSSE, 49(11): 2240-2249. PMCID: 5647115. PMID: 29045325. DOI: 10.1249/MSS.0000000000001353.
  48. Nicklas, T., Saab, R., Islam, N. G., Wong, W., Butte, N., Schulin, R., Liu, Y., Apolzan, J. W., Myers, C., & Martin, C. K. (2017). Validity of the Remote Food Photography Method against doubly labeled water among minority preschoolers. Obesity, 25(9):1633-1638. PMCID: PMC5573622. PMID: 28758370. DOI:10.1002/oby.2193.
  49. Redman, L. M., Gilmore, L. A., Breaux, J., Thomas, D. M., Elkind-Hirsch, K., Stewart, T., Hsia, D. S., Burton, J., Apolzan, J. W., Cain, L. E., Altazan, A. D., Ragusa, S, Brady, H, Davis, A., Tilford, J. M., Sutton, E. F., & Martin, C. K. (2017). Effectiveness of SmartMoms, a novel eHealth intervention for management of gestational weight gain: Randomized controlled pilot trial. Journal of Medical Internet Research: mHealth and uHealth, 5(9):e133. http://mhealth.jmir.org/2017/9/e133. PMID: 28903892. PMCID: PMC5617906. DOI 10.2196/mhealth.8228.
  50. Church, T. & Martin, C. K. (2018). The obesity epidemic: A consequence of reduced energy expenditure and the uncoupling of energy intake? Obesity, 26(1):14-16. PMID: 29265774. DOI: 10.1002/oby.22072.