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ORIGINAL RESEARCH

Smoking Modifies the Association Between Food Insecurity and Physical Performance

, , , &
Pages 140-153 | Published online: 18 May 2011
 

Abstract

Few studies have examined the association between food insecurity and physical performance among older adults. To our knowledge, the effect modification of smoking status has never been examined in previous studies of food insecurity and physical performance. Using data from the 1999–2002 National Health and Nutrition Examination Survey (NHANES), we examined if the association between food insecurity and physical performance including gait speed and knee extensor power varied by smoking status among a nationally representative sample of men and women (≥50 y). Responses to the U.S. Household Food Security Survey Module (HFSSM) were used to assign participants to study categories. Multiple linear regression models controlling for age, gender, race/ethnicity, education, and income were used. The association between food insecurity and gait speed varied by smoking status (p = 0.005). For nonsmokers, those who were marginally food secure (0.91 m/s, p = 0.016) and food insecure (0.94 m/s, p = 0.004) had significantly slower gait speeds than food secure participants (1.04 m/s). Similar findings were found for knee extensor power. An association between food insecurity and either physical performance measures was not detected among smokers. Given the magnitude of the effects of smoking on physical performance, smoking appears to obscure the relationship between food insecurity and physical performance.

Notes

*For continuous variables, the p value is for the test of difference in means of the variables of interest. For categorical variables, the p value is for the chi-square test of association.

†Because of the small sample sizes, Mexican Americans and other Hispanics were combined to form the Hispanic category and the other race was combined with non-Hispanic Whites.

‡Poverty Income Ratio (PIR) is calculated as the ratio of family income to poverty thresholds based on household size.

§Sample size for knee extensor power (n = 2,042) differed from that for gait speed.

*Predictions based on multiple linear regressions controlling for age, race/ethnicity, income, gender, and education, and adjusted for design corrections and sample weights.

†Referent group.

‡Statistical significance at p < 0.05.

*Predictions based on multiple linear regressions controlling for age, race/ethnicity, income, gender, and education, and adjusted for design corrections and sample weights.

†Referent group.

‡Statistical significance at p < 0.05.

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