Abstract
Background
Objective
Design
Participants and setting
Intervention
Main outcome measures
Statistical analyses performed
Results
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Keywords
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- Racial or ethnic and socioeconomic inequalities in adherence to national dietary guidance in a large cohort of US pregnant women.J Acad Nutr Diet. 2017; 117: 867-877 e863
- Pre-pregnancy weight status is associated with diet quality and nutritional biomarkers during pregnancy.Nutrients. 2016; 8: 162
- Trends in gestational weight gain: The Pregnancy Risk Assessment Monitoring System, 2000-2009.Am J Obstet Gynecol. 2015; 212: 806.e801-806.e808
- Gestational weight gain.Am J Obstet Gynecol. 2017; 217: 642-651
- Energy intake and energy expenditure for determining excess weight gain in pregnant women.Obstet Gynecol. 2016; 127: 884-892
- Effect of women's nutrition before and during early pregnancy on maternal and infant outcomes: A systematic review.Paediatr Perinat Epidemiol. 2012; 26: 285-301
- Dynamic interplay among homeostatic, hedonic, and cognitive feedback circuits regulating body weight.Am J Public Health. 2014; 104: 1169-1175
- Reward mechanisms in obesity: New insights and future directions.Neuron. 2011; 69: 664-679
- Blaming the brain for obesity: Integration of hedonic and homeostatic mechanisms.Gastroenterol. 2017; 152: 1728-1738
- Food-addiction scale measurement in 2 cohorts of middle-aged and older women.Am J Clin Nutr. 2014; 99: 578-586
- Inhibiting food reward: Delay discounting, food reward sensitivity, and palatable food intake in overweight and obese women.Obesity (Silver Spring). 2011; 19: 2175-2182
- Which foods may be addictive? The roles of processing, fat content, and glycemic load.PLoS One. 2015; 10e0117959
- Food reinforcement, energy intake, and macronutrient choice.Am J Clin Nutr. 2011; 94: 12-18
- The tempted brain eats: Pleasure and desire circuits in obesity and eating disorders.Brain Res. 2010; 1350: 43-64
- Preference or fat? Revisiting opioid effects on food intake.Physiol Behav. 2010; 100: 429-437
- The neurobiological underpinnings of obesity and binge eating: A rationale for adopting the food addiction model.Biol Psychiatry. 2013; 73: 804-810
- Subjective experiences of highly processed food consumption in individuals with food addiction.Psychol Addict Behav. 2019; 33: 144-153
- Is the degree of food processing and convenience linked with the nutritional quality of foods purchased by US households?.Am J Clin Nutr. 2015; 101: 1251-1262
- Processed foods and food reward.Science. 2019; 363: 346-347
- The Power of Food Scale. A new measure of the psychological influence of the food environment.Appetite. 2009; 53: 114-118
- Evaluating the Power of Food Scale in obese subjects and a general sample of individuals: Development and measurement properties.Int J Obes (London). 2009; 33: 913-922
- It's the power of food: Individual differences in food cue responsiveness and snacking in everyday life.Int J Behav Nutr Phys Act. 2015; 12: 149
- Greater food reward sensitivity is associated with more frequent intake of discretionary foods in a nationally representative sample of young adults.Front Nutr. 2016; 3: 33
- Foods and dietary profiles associated with 'food addiction' in young adults.Addict Behav Rep. 2015; 2: 41-48
- Food addiction prevalence and concurrent validity in African American adolescents with obesity.Psychol Addict Behav. 2018; 32: 187-196
- The UN Decade of Nutrition, the NOVA food classification and the trouble with ultra-processing.Public Health Nutr. 2018; 21: 5-17
- Normative data and a short form of the Barratt Impulsiveness Scale.Int J Neurosci. 2007; 117: 359-368
- Multidimensionality in impulsivity and alcohol use: A meta-analysis using the UPPS model of impulsivity.Alcohol Clin Exp Res. 2013; 37: 1441-1450
- Impulsivity and cigarette smoking: Discounting of monetary and consumable outcomes in current and non-smokers.Psychopharmacology (Berlin). 2014; 231: 4517-4526
- How impulsiveness and variety influence food intake in a sample of healthy women.Appetite. 2007; 48: 119-122
- The influence of trait and induced state impulsivity on food intake in normal-weight healthy women.Appetite. 2007; 49: 66-73
- The interaction between impulsivity and a varied food environment: Its influence on food intake and overweight.Int J Obes. 2008; 32: 708-714
- External eating mediates the relationship between impulsivity and unhealthy food intake.Physiol Behav. 2015; 147: 117-121
- Double trouble. Trait food craving and impulsivity interactively predict food-cue affected behavioral inhibition.Appetite. 2014; 79: 174-182
- The impact of pregnancy on eating behaviour and aspects of weight concern.Int J Obes Relat Metab Disord. 1999; 23: 18-24
- Body image and dieting in pregnancy.J Psychosom Res. 1994; 38: 787-799
- Food craving frequency mediates the relationship between emotional eating and excess weight gain in pregnancy.Eat Behav. 2018; 31: 120-124
- How pregnant African American women view pregnancy weight gain.J Obstet Gynecol Neonatal Nurs. 2012; 41: 798-808
- Dietary change during pregnancy and women’s reasons for change.Nutrients. 2018; 10: 1032
- A qualitative study exploring pregnant women's weight-related attitudes and beliefs in UK: The BLOOM study.BMC Pregnancy Childbirth. 2015; 15: 99
- A Perspective on the potential associations among impulsivity, palatable food intake, and weight gain in pregnancy: Arguing a need for future research.Curr Addict Rep. 2018; 5: 251-256
- Pregnancy eating attributes study (PEAS): A cohort study examining behavioral and environmental influences on diet and weight change in pregnancy and postpartum.BMC Nutr. 2016; 2: 45
- Stata Statistical Software [computer program]. Release 14. Stata Corp LP, College Station, TX2015
- Income and poverty in the United States: 2016. 2017.https://www.census.gov/library/publications/2017/demo/p60-259.htmlDate accessed: September 25, 2020
- Modifiable behavioral factors in a biopsychosocial model predict inadequate and excessive gestational weight gain.J Am Diet Assoc. 2003; 103: 48-54
- Hedonic hunger is related to increased neural and perceptual responses to cues of palatable food and motivation to consume: Evidence from 3 independent investigations.J Nutr. 2016; 146: 1807-1812
- Diagnostic and Statistical Manual of Mental Disorders.(text rev)4th ed. American Psychiatric Association, Washington, DC2000
- Self-regulation and rapid weight gain in children from age 3 to 12 years.Arch Pediatr Adolesc Med. 2009; 163: 297-302
- fMRI reactivity on a delay discounting task predicts weight gain in obese women.Appetite. 2012; 58: 582-592
- Ability to delay gratification at age 4 years and risk of overweight at age 11 years.Arch Pediatr Adolesc Med. 2009; 163: 303-308
- Impulsivity predicts treatment outcome in obese children.Behav Res Ther. 2007; 45: 1071-1075
- Association between inhibitory control capacity and body weight in overweight and obese children and adolescents: Dependence on age and inhibitory control component.Child Neuropsychol. 2010; 16: 592-603
- Portion sizes and the obesity epidemic.J Nutr. 2005; 135: 905-909
- Learning to overeat: maternal use of restrictive feeding practices promotes girls' eating in the absence of hunger.Am J Clin Nutr. 2003; 78: 215-220
- Eating in the absence of hunger and overweight in girls from 5 to 7 y of age.Am J Clin Nutr. 2002; 76: 226-231
- A review of the associations between single nucleotide polymorphisms in taste receptors, eating behaviors, and health.Crit Rev Food Sci Nutr. 2018; 58: 194-207
- Preferences for sweet and salty in 9- to 15-year-old and adult humans.Science. 1975; 190: 686-687
- Taste preferences and food intake.Annu Rev Nutr. 1997; 17: 237-253
- Food Patterns Equivalents Database [database online]. Version 2015-2016. US Dept of Agriculture, Food Surveys Research Group, Beltsville Human Nutrition Research Center, Beltsville, MD2017
- US Dept of Agriculture Food and Nutrient Database for Dietary Studies [database online]. Version 2015-2016. US Dept of Agriculture, Agricultural Research Service, Food Surveys Research Group, Bethesda, MD2018
- Hunger and satiety mechanisms and their potential exploitation in the regulation of food intake.Curr Obes Rep. 2016; 5: 106-112
- Gut–brain nutrient signaling. Appetition vs. satiation.Appetite. 2013; 71: 454-458
- How can drug addiction help us understand obesity?.Nat Neurosci. 2005; 8: 555-560
- A framework for structured description of product, place and person as sources of variation in food choices.Appetite. 2011; 56: 412-423
- Psychological predictors of opportunistic snacking in the absence of hunger.Eat Behav. 2015; 18: 156-159
- Eating in the absence of hunger is related to loss-of-control eating, hedonic hunger, and short-term weight gain in normal-weight women.Appetite. 2018; 123: 317-324
- Satiety responsiveness in toddlerhood predicts energy intake and weight status at four years of age.Appetite. 2014; 74: 79-85
- Measuring behavioural susceptibility to obesity: Validation of the child eating behaviour questionnaire.Appetite. 2007; 48: 104-113
- Food reinforcement, the dopamine D2 receptor genotype, and energy intake in obese and nonobese humans.Behav Neurosci. 2007; 121: 877-886
- Impulsivity and overeating in children in the absence and presence of hunger.Appetite. 2015; 93: 57-61
- Executive functioning, emotion regulation, eating self-regulation, and weight status in low-income preschool children: How do they relate?.Appetite. 2015; 89: 1-9
- Delay discounting moderates the effect of food reinforcement on energy intake among non-obese women.Appetite. 2010; 55: 420-425
- Stress, depression, social support, and eating habits reduce diet quality in the first trimester in low-income women: A pilot study.J Acad Nutr Diet. 2012; 112: 1619-1625
Allison PD. Handling Missing Data by Maximum Likelihood. Oral presentation at: SAS Global Forum; April 2012; Orlando, FL. https://support.sas.com/resources/papers/proceedings12/312-2012.pdf, Accessed October 8, 2020.
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Footnotes
STATEMENT OF POTENTIAL CONFLICT OF INTEREST No potential conflict of interest was reported by the authors.
FUNDING/SUPPORT This research was supported by the Eunice Kennedy Shriver National Institute of Child Health and Human Development Intramural Research Program (contract #HHSN275201300015C and #HHSN275201300026I/HHSN27500002).
This study was registered at ClinicalTrials.gov, NCT02217462, on August 13, 2014.
AUTHOR CONTRIBUTIONS All authors designed the research; K. Burger conducted the research; L. Lipsky performed statistical analysis; L. Lipsky, K. Burger, T. Nansel, A. M. Siega-Riz, M. Faith, and G. Shearrer wrote the manuscript; all authors revised critically; and L. Lipsky, T. Nansel, and K. Burger had primary responsibility for final content. All authors read and approved the final manuscript.