To explore differences and similarities in environmental, personal, and behavioral factors influencing eating behavior among low-income women of varying weight status.
Design.
Focus groups (n = 16) were used to collect qualitative data. Quantitative data collected included demographic, lifestyle, and anthropometric (heights and weights).
Setting.
Community centers, libraries, and homeless shelters in low-income neighborhoods.
Participants.
Of the 83 participants, 58% were African-American, 28% were white, and the remainder were American Indian, Hispanic, or mixed race. A total of 35% of participants were lean/normal (body mass index < 25 kg/m2) and 65% were overweight/obese (body mass index > 25 kg/m2).
Method.
Focus group methodology was used to collect data on 83 participants. Social Cognitive Theory (SCT) provided the theoretical basis. Transcripts were analyzed using the open-coding method and comments between lean/normal and overweight/obese women were systematically compared.
Results.
Focus group themes were food environment, aberrant eating behavior, health values, and beliefs. Differences in personal and behavioral factors were apparent between overweight/obese and lean/normal women, with the former group frequently discussing emotional eating, overeating, and stashing food, and the latter group communicating greater nutrition knowledge and describing regular physical activity. Both groups similarly expressed experiences with food insecurity and lived in low-income environments.
Conclusion.
For low-income women, personal and behavioral factors may modify the influence of their obesogenic food environment. Further research within the context of SCT should examine differences between lean/normal and overweight/obese women living in the same environment.
OgdenCCarrollMCurtinL. Prevalence of overweight and obesity in the United States, 1999–2004. J Am Med Assoc. 2006;295:1549–1555.
2.
WiigKSmithC. The art of grocery shopping on a food stamp budget: Factors influencing the food choices of low-income women as they try to make ends meet. Public Health Nutr.2008;12:1726–1734.
3.
RichardsRSmithC. Shelter environment and placement in community affects lifestyle factors among homeless families in Minnesota. Am J Health Promot. 2006;21:36–44.
4.
ParkerEDWidomeRNettletonJAPereiraMA. Food security and metabolic syndrome in US adults and adolescents: Findings from the national and nutrition examination survey. 1999–2006. Ann Epidemiol. 2010;20:364–370.
5.
TownsendMSPeersonJLoveB. Food insecurity is positively related to overweight in women. J Nutr.2001;131:1738–1745.
6.
FranklinBJonesALoveD. Exploring mediators of food insecurity and obesity: A review of recent literature. J Comm Health. 2012;37:253–264.
7.
DinourLBergenDYehM. The food insecurity–obesity paradox: A review of the literature and the role food stamps may play. J Am Diet Assoc. 2007;107:1952–1961.
8.
DrewnowskiA. Obesity and the food environment—dietary energy density and diet costs. Am J Prev Med.2004;27(suppl):154–162.
9.
EikenberryNSmithC. Healthful eating: Perceptions, motivations, barriers, and promoters in low-income Minnesota communities. J Am Diet Assoc. 2004;104:1158–1161.
10.
PollardJGreenwoodDKirkSCadeJ. Lifestyle factors affecting fruit and vegetable consumption in the UK Women's Cohort Study. Appetite. 2001;37:71–79.
11.
SteptoeAPollardTMWardleJ. Development of a measure of the motives underlying the selection of food: The food choice questionnaire. Appetite. 1995;25:267–284.
12.
BauerFElbersCCAdanRA. Obesity genes identified in genome-wide association studies are associated with adiposity measures and potentially with nutrient-specific food preference. Am J Clin Nutr.2009;90:951–959.
13.
LinBHuangCFrenchS. Factors associated with women's and children's body mass indices by income status. Int J Obes Metab Disord. 2004;28:536–542.
14.
SmithCMortonL. Rural food deserts: Low-income perspectives on food access in Minnesota and Iowa. J Nutr Educ Behav. 2009;41:176–187.
15.
Wiig-DammannKSmithC. Factors affecting low-income women's food choices and the perceived impact of dietary intake and socioeconomic status on their health and weight. J Nutr Educ Behav. 2009;41:242–253.
16.
BanduraA. Self-Efficacy: The Exercise of Control. New York, NY: W.H. Freeman; 1997.
CorbinDStraussA. Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory. Thousand Oaks, Calif: Sage Publications; 1998.
19.
MorganDKruegerR. The Focus Group Kit: Volumes 1–6. Thousand Oaks, Calif: Sage Publications; 1998.
20.
MorseJ. The significance of saturation. Qual Health Res.1995;5:147–149.
21.
OlsonCBoveCMillerE. Growing up poor: Long-term implications for eating patterns and body weight. Appetite. 2007;49:198–207.
22.
AllenMWWilsonM. Materialism and food security. Appetite. 2005;45:314–323.
23.
SmithCKlosterbuerALevineAS. Military experience strongly influences post-service eating behavior and BMI status in American veterans. Appetite. 2009;52:280–289.
24.
NolanLJHalperinLBGeliebterA. Emotional Appetite Questionnaire: Construct validity and relationship with BMI. Appetite. 2010;54:314–319.
25.
DelahantyLMeigsJHaydenD. Psychological and behavioral correlates of baseline BMI in the Diabetes Prevention Program (DPP). Diabetes Care. 2002;25:1992–1998.
26.
van StrienTOuwensMA. Counterregulation in female obese emotional eaters: Schachter, Goldman, and Gordon's (1968) test of psychosomatic theory revisited. Eat Behav. 2003;3:329–340.
27.
CahillJMFreeland-GravesJShahBS. Development and validation of the eating stimulus index in low-income, minority women in early postpartum. J Am Diet Assoc. 2009;109:1593–1598.
28.
Wiig-DammannKWSmithC. Food-related environmental, behavioral, and personal factors associated with body mass index among urban, low-income African-American, American Indian and Caucasian women. Am J Health Promot. 2011;25:e1–e10.
29.
MirandaJChungJYGreenBL. Treating depression in predominantly low-income young minority women: A randomized controlled trial. J Am Med Assoc. 2003;290:57–65.
30.
BroussardCA. Research regarding low-income single mothers' mental and physical health: A decade in review. J Poverty. 2010;14:443–451.
31.
NussHClarkeKKlohe-LehmanDFreeland-GravesJ. Influence of nutrition attitudes and motivators for eating on postpartum weight status in low-income new mothers. J Am Diet Assoc. 2006;106:1774–1782.
32.
MortonJFGuthrieJF. Diet-related knowledge, attitudes, and practices of low-income individuals with children in the household. Fam Econ Nutr Rev.1997;10:2–15.
33.
Eicher-MillerHMasonAAbbottA. The effect of Food Stamp Nutrition Education on the food insecurity of low-income women participants. J Nutr Educ Behav. 2009;41:161–168.
34.
Klohe-LehmanDMFreeland-GravesJAndersonE. Nutrition knowledge is associated with greater weight loss in obese and overweight low-income mothers. J Am Diet Assoc. 2006;106:65–75.
35.
NussHFreeland-GravesJClarkeK. Greater nutrition knowledge is associated with lower 1-year postpartum weight retention in low-income women. J Am Diet Assoc. 2007;107:1801–1806.
36.
RichmanRLoughnanGDroulersA. Self-efficacy in relation to eating behaviour among obese and non-obese women. Int J Obes Relat Metab Disord. 2011;25:907–913.
37.
HenryHReimerKSmithCReicksM. Associations of decisional balance, processes of change, and self-efficacy with stages of change for increased fruit and vegetable consumption among low-income, African-American mothers. J Am Diet Assoc. 2006;106:841–849.
38.
ChangMWBaumannLCNitzkeSBrownRL. Predictors of fat intake behavior differ between normal-weight and obese WIC mothers. Am J Health Promot. 2005;19:269–277.
39.
RobinsonRSmithC. Associations between self-reported health conscious consumerism, body-mass index, and attitudes about sustainably produced foods. Ag Hum Values. 2003;20:177–187.
40.
Lahti-KoskiMPietinenPHeliövaaraMVartiainenE. Associations of body mass index and obesity with physical activity, food choices, alcohol intake, and smoking in the 1982–1997 FINRISK Studies. Am J Clin Nutr.2002;75:809–817.
41.
ChanCBSpanglerEValcourJTudor-LockeC. Cross-sectional relationship of pedometer-determined ambulatory activity to indicators of health. Obes Res.2003;11:1563–1570.
42.
MacFarlaneAAbbottGCrawfordDBallK. Personal, social, and environmental correlates of health weight status amongst mothers from socioeconomically disadvantages neighborhoods: Findings from the READI study. Int J Behav Nutr Phys Act. 2010;7:23.
