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Food Insecurity and Obesity among Adults IOM Workshop on Food Insecurity & Obesity November 16-18, 2010 Barbara A. Laraia, RD, Ph.D. Associate Professor Co-Director, UCSF Center for Obesity Assessment, Study and Treatment

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Food Insecurity and Obesity

among Adults

IOM Workshop on Food Insecurity & Obesity

November 16-18, 2010

Barbara A. Laraia, RD, Ph.D.Associate Professor

Co-Director, UCSF Center for Obesity

Assessment, Study and Treatment

Household Food Insecurity is

Multidimensional

• Psychological—Worry about enough food

– Numerous studies find an association with mental health, stress and depression

• Nutritional—Compromise quality and quantity

– Little research finds clear associations with diet variety, meal pattern, macronutrient and micronutrient intake

• Economic—Material deprivation

= Sensitive Measure that Isn’t Specific

Overview

• Prevalence of Food Insecurity in US

• Plausibility—Lines of Evidence

1. Dependence on Calorically Dense Foods

2. Diet Sensitive Chronic Disease

3. Stress and Efficient Energy Storage

• Evidence from Animal Models

• Food Insecurity & Weight Status

– by Gender, Race and Over Time

• Future Directions

• Prevalence of Food Insecurity in US

• Plausibility—Lines of Evidence

1. Dependence on Calorically Dense Foods

2. Diet Sensitive Chronic Disease

3. Stress and Efficient Energy Storage

• Evidence from Animal Models

• Food Insecurity & Weight Status

– by Gender, Race and Over Time

• Future Directions

Source: http://www.ers.usda.gov/publications/

US Prevalence of Household Food

Insecurity

• Prevalence of Food Insecurity in US

• Plausibility—Lines of Evidence

1.Dependence on Calorically Dense Foods

2.Diet Sensitive Chronic Disease

3.Stress and Efficient Energy Storage

• Evidence from Animal Models

• Food Insecurity & Weight Status

– by Gender, Race and Over Time

• Future Directions

Relation between the energy density of

selected foods and energy costs (¢/MJ)

Drewnowski, A. et al. Am J Clin Nutr 2004;79:6-16.

Food Insecurity & Dietary Intake

KEY FINDINGS

Dietary variety

Adult Healthy Eating Index (HEI), mean a 6.3 vs. 5.9*

Energy Intake

Adults (NHANES) b

Adults (NHANES) c

No Difference

No Difference

But, Fewer Meals

Micronutrient Intake in older adults b No DifferenceVitamin A, C, E, Folate, B-12, Ca

Lower Intake↓ Vitamin B6, Mg, Fe, Zn *

Basioti 2002a; Dixon 2001b; Zizza c

* Significant p<0.05

• Prevalence of Food Insecurity in US

• Plausibility—Lines of Evidence

1. Dependence on Calorically Dense Foods

2. Diet Sensitive Chronic Disease

3. Stress and Efficient Energy Storage

• Evidence from Animal Models

• Food Insecurity & Weight Status

– by Gender, Race and Over Time

• Future Directions

Food Insecurity, Hypertension,

Hyperlipidemia, and Diabetes

Seligman, Laraia and Kushel. J Nutr 2010

Food Insecurity and Disease Control

Seligman, Laraia and Kushel. J Nutr 2010

• Prevalence of Food Insecurity in US

• Plausibility—Lines of Evidence

1. Dependence on Calorically Dense Foods

2. Diet Sensitive Chronic Disease

3. Stress and Efficient Energy Storage

• Evidence from Animal Models

• Food Insecurity & Weight Status

– by Gender, Race and Over Time

• Future Directions

Stress Induced Non-Homeostatic

Eating• Food Insecurity—is a threat

that can stimulate HPA axis

triggering hunger and

increasing drive for feeding

• Stress induced eating

influences a desire for

palatable foods to dampen

the stress response

• Eating in the presence of

stress can lead to insulin

resistance and visceral fat

accumulation

Association of Psychosocial Factors

and Food Security Status

0

0.5

1

1.5

2

2.5

Food Secure Marginally Secure Food Insecure

Stress Anxiety Depression Chance LOC Power LOC

* Adjusted models controlling for age, children, education, income, race, and marital status

Laraia BA, et al. J Nutr 2006;136:177-182.

Beta

coeffic

ient

Decreased Protective Traits with

Increased Household Food Insecurity

0

0.2

0.4

0.6

0.8

1

1.2

Food Secure Marginally Secure Food Insecure

Self-Esteem Mastery

* Adjusted models controlling for age, children, education, income, race, and marital status

Laraia BA, et al. J Nutr 2006;136:177-182.

Beta

co

eff

icie

nt

Influence of Food Stress and Dietary

Restraint on Gestational Weight Gain

-3

-2

-1

0

1

2

3

4

Food Secure Food Insecure High Restraint Food Insecure/

High Restraint

Weight Gain Adequacy of Weight gain

* Adjusted models controlling for age, children, education, income, race, and marital status

Beta

coeffic

ient

• Prevalence of Food Insecurity in US

• Plausibility—Lines of Evidence

1. Dependence on Calorically Dense Foods

2. Diet Sensitive Chronic Disease

3. Stress and Efficient Energy Storage

• Evidence from Animal Models

• Food Insecurity & Weight Status

– by Gender, Race and Over Time

• Future Directions

Cortisol & Visceral Fat

• Stress + Junk food =

– ↑ Insulin & Neuropeptide Y (NPY)

– Greater Abdominal Fat

• 4 months later, Metabolic Syndrome!

Control Junk Diet Stress/Junk

Kuo LE et al, 2007, Nature Medicine

Block NPY

Variable Foraging Demands

• Coplan 2006: – Early VFD: No change on maternal CRF

– Late VFD: ↑ Maternal CRF

– ↑ Infant CRF with both Early & Late VFD

• Kaufman 2007:– Late VFD: ↑ weight, ↑ BMI, ↑ abdominal circumference

– ―Our data suggest that early-life stress during a

critical period of neurodevelopment can result in

the peri-pubertal emergence of obesity and insulin

resistance.‖

• Prevalence of Food Insecurity in US

• Plausibility—Lines of Evidence

1. Dependence on Calorically Dense Foods

2. Diet Sensitive Chronic Disease

3. Stress and Efficient Energy Storage

• Evidence from Animal Models

• Food Insecurity & Weight Status

– by Gender, Race and Over Time

• Future Directions

WOMEN MEN ADULTS

FI

Level

Over-

weight

Obese Obese (Women of

color)

Over-

weight

Obese Obese Weight

Gain

FI-Mild

FI-Mod

FI-

Severe

No association

Positive association

Negative association

Food Insecurity and Weight Status

Summary of Findings

WOMEN: Food Insecurity & OverweightSAMPLE & MEASURE N KEY FINDINGS

Rural NY (a) 193 BMI 28.2 vs. 25.6

CSFII (b)

FI-Mild

FI-Moderate

FI-Severe

4,509 1.3 (1.1-1.5)

No association

No association

1996/1997 Canadian Health Study(c) 24,400 No association

1999/2002 NHANES (d)

FI-Mild

FI-Moderate

FI-Severe

4,172 No association

No association

No association

1999/2002 NHANES (e)

FI-Mild

FI-Moderate

FI-Severe

4,549 No association

No association

1.67 (1.08, 2.57)Olson 1999 (a), Townsend 2001 (b), Vozoris 2003 (c), Hanson 2007 (d), Wilde 2006 (e)

WOMEN: Food Insecurity & Obesity

SAMPLE & MEASURE N KEY FINDINGS

Rural NY (a) 193 37% vs. 26%

California Women’s Health Survey (f)

FI-Moderate

FI-Severe

8,169 31.% vs. 16.%

1.4 (1.0-1.8)

No association

1999/2002 NHANES (d)

FI-Mild

FI-Moderate

FI-Severe

4,172 No association

10.8 2.6

No association

1999/2002 NHANES (e),

FI-Mild

FI-Moderate

FI-Severe

4,549 1.58 (1.11, 2.24)

1.76 (1.44, 2.15)

No Association

Olson 1999 (a), Adams 2003 (f), Hanson 2007 (d), Wilde 2006 (e)

WOMEN: Food Insecurity & Weight

Status by EthnicitySAMPLE & MEASURE N KEY FINDINGS

California Women’s Health Survey (f)

OBESITY among Non-white women

FI-Moderate

FI-Severe

8,169 1.5 (1.1-1.9)

2.8 (1.8–4.3)

Overweight, Latina women in CA (g)

FI-Moderate

FI-Severe

559 No association

No association

Obesity, Latina women in CA (g)

FI-Moderate

FI-Severe

559 No association

1.98 (1.1-3.5)

Adams 2003 (f), Kaiser 2007 (g)

ADULTS: Food Insecurity & Weight

StatusSAMPLE & MEASURE N KEY FINDINGS

CSFII (b), Overweight in Men 4,509 No association

1996/1997 Canadian Health Study (c)

Overweight among Men

Obesity among Men

25,815 0.7 (0.5–0.9)

No association

1999/2002 NHANES (d), Men

FI-Mild

FI-Moderate

FI-Severe

4,338 No association

-8.3 3.9 (OW)

No association

LA, NY BRFSS Social Context Model (i)

Enough Food-Obesity among Adults 3,945 No association

WA BRFSS Social Context Model (h)

Enough Food-Obesity among Adults 3,252 1.3 (1.0-1.8)

Townsend (b), Vozoris 2003 (c), Hanson 2007 (d), VanEenwyk 2003 (h), Laraia 2004 (i)

ADULTS: Weight Gain—Longitudinal

StudiesSAMPLE & MEASURE N KEY FINDINGS

PSID (j), Women 5,303 No association

PSID (k), Women 5,595 No association

Fragile Families (l), Women 1,707 No association

NHANES (e), Women FI-Mild

FI-Moderate

FI-Severe

Men (all levels)

4,549

4,202

1.56 (1.09, 2.23)

1.43 (1.02, 2.00)

No association

No association

Pregnancy, Infection & Nutrition Study (o), Pregnant women

810 Higher weight gain

Gestational Diabetes

Bassett Mother Health Project (n),

Pregnant women 463 Obese women became

food insecure

Jones 2006 (j), 2007 (k), Whitaker 2007 (l), Wilde 2006 (e), Olson 2008 (n), Laraia 2010 (o)

Summary

• Inconsistent results between food insecurity

and overweight among women

• Modest association between food insecurity

and obesity among women, especially

women of color

• Inverse or null association between food

insecurity and overweight among men

• Inconsistent results between food insecurity

and weight gain

Future Directions

• Could these findings suggest a spurious relationship– Do overweight/obese women perceive their household food

situation differently than normal weight women?

• Consistency in measuring the exposure and outcome– Different measures are used for both the exposure and outcome

– Some analyses restrict to middle- and low-income household, and all control for income

• Refining our conceptual framework– Focus on visceral fat instead of weight

– Identify moderators of food insecurity, such as dieting or stress

– Focus on critical periods of growth and development, aging and diet-sensitive chronic diseases

– Assess the interaction between food insecurity and the food environment

Acknowledgments

• Funding Support

– NICHD

– NIDDK

– NHLBI

• Co-authors

– Anna Maria Siega-Riz, Craig Gundersen, Nancy Dole, Hilary Seligman, Margot Kushel

• UCSF Center for Health & Community and COAST

– Nancy Adler, Elissa Epel, Irene Yen, Bethany Hendrickson, Pam Stoddard