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Division of Nutritional Sciences, Cornell University, Ithaca, NY 14853
2To whom correspondence should be addressed. E-mail: eaf1{at}cornell.edu.
| ABSTRACT |
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KEY WORDS: food insecurity elderly consequence humans
| INTRODUCTION |
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Food insecurity can affect health and quality of life, either directly
or indirectly through nutritional status (Anderson 1990
,
Campbell 1991
). For elderly persons, who already use
substantially more health, medical and other services than the general
population, food insecurity can bring further physical, emotional and
economic burdens to the elderly persons themselves, their formal or
informal caregivers, and the health care system. Thus, understanding
the consequences of food insecurity is crucial to addressing the public
health risks of hunger in elderly persons and providing complementary
information to better tailor nutrition and health services for an
ever-increasing and diverse older population in the United States.
The majority of studies examining the nutritional and health
consequences of food insecurity have focused on younger adult women and
children. The consequences include decreased dietary intake
(Cristofar and Basiotis 1992
, Kendall et al. 1995 and 1996
, Rose and Oliveira 1997
, Tarasuk and Beaton 1999
), decreased household food supply
(Kendall et al. 1996
), psychosocial dysfunction
(Kleinman et al. 1998
, Murphy et al. 1998
), increased body weight (Kendall et al. 1995
), health problems (Nelson et al. 1998
,
Roe 1990
, Wehler et al. 1992
), decreased
quality of life (Vailas et al. 1998
) and sociofamiliar
perturbations (Hamelin et al. 1999
).
Separating out the consequences of food insecurity among elderly
persons requires careful consideration of various determinants of
nutritional and health status pertinent to that age group. In contrast
to persons of younger age, a greater variety of factors are associated
with nutritional and health status in elderly persons. Not only the
aging process, but also health, psychological, social and economic
factors, are closely related to nutritional and health status in
elderly persons. Three studies have examined the consequences of food
insecurity among elderly persons. One was a national study showing that
food-insufficient elderly individuals had lower intakes of eight
nutrients including energy and calcium, based on the 19891991
Continuing Survey of Food Intake by Individuals (Rose and Oliveira 1997
). The other studies were local studies reporting
that food-insecure elderly persons were more likely to have lower
body weight and global quality of life (Roe 1990
,
Vailas et al. 1998
). These studies, however, have not
fully accounted for various health problems and functional impairments
affecting nutritional and health status among elderly persons in
examining consequences of food insecurity.
The purpose of this study was to examine the nutritional and health
consequences associated with food insecurity of the elderly, 60 y
and older in the United States, using data from the Third Health and
Nutrition Examination Survey (NHANES III,3
19881994) and a state
representative sample from the Nutrition Survey
of the Elderly in New York State (NSENY, 1994
). To separate out the
consequences of food insecurity, we used a statistical approach,
controlling for other significant confounders that affect nutritional
and health status in elderly persons. Specifically, we assessed the
extent to which food-insecure elderly persons are likely to have
lower nutrient intakes, energy stores, self-reported health status
and nutritional risk while considering a wide range of factors
affecting nutritional and health status in elderly persons. The results
will provide a better understanding of the consequences associated with
food insecurity, and guidance for improving nutrition services for the
elderly.
| SUBJECTS AND METHODS |
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NHANES III data and study sample.
Elderly persons 6090 y old (n = 6596) were
sampled in the NHANES III (19881994). The survey was designed to
obtain nationally representative information on health and nutritional
status in the U.S. population through extensive interviews and an
examination in the Mobile Examination Center (MEC).
Specifically, the NHANES III included the aged and very old; home
examination was used to monitor nonresponse at the time of data
collection to provide reliable estimates in older persons for the first
time (McDowell et al. 1991
). More detailed information
of the survey design and operation has been published elsewhere
(U.S. Department of Health and Human Services National Center for Health Statistics 1996
).
The final analytic sample included all individuals who had complete information on nutrient intakes, skinfold thickness and self-reported health status along with potential controlling variables. Different samples sizes were available for different nutrition and health outcomes, i.e., n = 5035 for nutrient intake analysis, n = 4386 for skinfold thickness and n = 6586 for self-reported health status. Preliminary analysis showed no significant differences in socioeconomic characteristics and prevalence of food insecurity across these samples.
NSENY data and study sample.
The data were taken from elderly persons 6096 y old (n
= 553) who were sampled in the supplemental survey to the NSENY
(April 18July 7, 1994). The NSENY was conducted by the New York State
Department of Health in collaboration with the State Office for the
Aging to obtain information to improve the effectiveness of services
provided by the Elderly Nutrition Program (ENP) in New York State. This
survey included a wide range of data related to eligibility for a
home-delivered meals program, sociodemographic characteristics,
nutritional risk, food insecurity and functional impairment variables.
More detailed information of the survey design, operation and
questionnaire has been published elsewhere (New York State Department of Health and Office for the Aging 1996
). The analytic sample included
all individuals who had complete information on food insecurity,
nutritional risk, eligibility for a home-delivered meals program
and potential controlling variables that are described in the
following. Of the 484 elderly persons for whom food insecurity data
were available, 477 had complete data sets and have been included in
the final analysis.
Food insecurity
There have been significant efforts to understand and measure
the nature and extent of food insecurity in the past decade, mainly
among younger adults and children. By definition, food insecurity
occurs whenever the availability of nutritionally adequate and safe
foods or the ability to acquire acceptable foods in socially acceptable
ways is limited or uncertain (Anderson 1990
). Research
to understand food insecurity specifically in elderly persons has
recently begun. There has been no direct measurement of food insecurity
in elderly persons who have different physical and socioeconomic
conditions, perceptions, attitudes and experiences throughout their
life concerning food problems. We used the best available food
insecurity measures in both data sets, i.e., the food insufficiency
question in the NHANES III and the three food insecurity items in the
NSENY.
In NHANES III, food insufficiency was defined as "an inadequate
amount of food intake due to lack of resources" (Briefel and Woteki 1992
). The food-insufficiency question was a part of
the family questionnaires in the NHANES III, and was designed to
measure individual food insufficiency on basis of the reported adequacy
of the familys food resources. Several studies have confirmed the
validity of the food-insufficiency question as a measure of food
insecurity, mainly in younger adults and children (Alaimo 1997
, Alaimo et al. 1999
,
Basiotis 1992
, Briefel and Woteki 1992
,
Cristofar and Basiotis 1992
, Frongillo et al.
1997, Rose and Oliveira 1997
, Wolfe et al. 1998
). An elderly person was classified as "food
insufficient" if he/she reported that the family "sometimes or
often did not get enough food to eat."
In the NSENY, the three-item food insecurity measure determined the
presence of food insecurity status during the last 6 mo ("Do you have
enough money to buy the food you need most of the time?"; "In the
past 6 mo, have you skipped one or more meals because you had no food
in the house or you thought that soon you might not have enough
food?"; and "In the past 6 mo, have you had to choose between
buying food or paying bills or buying something else you needed?").
Previous research established the content and construct validity of the
items (Burt 1993
, Quandt and Rao 1999
).
An elderly person was classified as "food insecure" if he/she gave
an affirmative response to at least one of the three items.
Nutrient intake
In NHANES III, detailed nutrient intake information was
available based on a single 24-h dietary recall taken in the MEC. The
NHANES III incorporated several strategies for improving dietary recall
performance in both healthy and poor/frail older persons, such as
memory enhancement techniques and proxy respondents. Also, intake of
drinking water, vitamin/mineral supplements and medication usage data
were included to estimate total nutrient intake (McDowell et al. 1991
, U.S. DHHS National Center for Health Statistics 1996
). Energy and 19 nutrients were selected for the analysis
on the basis of previous research reflecting concerns for excessive or
deficient intake in the elderly (Barrocas et al. 1995
,
Ponza et al. 1994
, Schlenker 1998
).
Skinfold thickness
Anthropometric measurements provide information or estimation of the adequacy of an individuals energy balance and body composition. Weight, arm circumference and skinfold thickness, including triceps, subscapular, suprailliac and thigh skinfold, were selected to assess energy stores in NHANES III.
Self-reported health status
Self-reported health status provides a simple, direct and global
way of capturing perceptions of health criteria that are as broad and
inclusive as the responding individuals choose to make them
(Idler and Benyamini 1997
, Krause and Jay 1994
). The validity of perceived health status has been shown
by its strong predictive power for mortality, disability, survival and
health care services use, especially in elderly persons (Idler and Benyamini 1997
, Kaplan 1988
, Mor et al. 1994
, Mossey and Shapiro 1982
).
In the NHANES III, the following question was asked: "Would you say your health in general is excellent, very good, good, fair, or poor?" For analyses, the response was recoded into two categories, i.e., good, including excellent, very good and good, and poor, including fair and poor.
Nutritional risk.
The NSENY included a nutritional risk scale adopted from the
ten-item Nutritional Screening Initiative checklist (NSIC). The
NSIC was designed as a brief risk-appraisal questionnaire that
could be self-administered and scored by older persons, family
members or caregivers (Nutrition Screening Initiative 1991
). Criticism on the validity of the NSIC has been reported
(Rush, 1997
). The construct and scoring system of NSIC,
however, have been validated in the past (Joseph et al. 1997
, Posner et al. 1993 and 1994
), and the NSIC
has been used extensively for evaluating nutritional risk across
various fields specializing in the care of elderly people.
In our study, a modified version of nutritional risk was used after
excluding one item ("Do you have enough money to buy the food you
need most of the time?") that was also included in the
food-insecurity measure. The questions included in nutritional risk
are
1 meal/d, consuming fruits/vegetable/milk every day, dietary
change due to health problems, tooth and mouth problems, inability to
shop/cook/feed self, weight loss/gain, using
3 drugs/d,
3 alcoholic
drinks/d and eating alone. Each item had its own weight score,
depending on attributable seriousness to nutritional and health risk in
the elderly; total score was 17.
Controlling variables
To assess the relationship between food insecurity and
nutritional and health consequences, it is crucial to control for
potential confounding variables. Sociodemographic, economic,
psychological, physical functioning, health and behavioral, and adverse
health conditions have been known to influence nutrient intakes,
anthropometry, self-reported health status and nutritional risk
(Betts and Vivian 1985
, Bianchetti et al. 1990
, Garry et al. 1982
, Gilbride et al. 1998
, Gray-Donald et al. 1994
, Idler and Benyamini 1997
, Johnson and Wolinsky 1993
,
Keller et al. 1997
, MacLellan 1997
,
Marshall et al. 1999
, Murphy et al. 1990
,
Neyman et al. 1996
, Payette et al. 1995
,
Posner et al. 1987
, Ritchie et al. 1997
,
Schlenker 1998
, Stevens et al. 1992
,
Walker and Beauchene 1991
, Weimer 1998
).
After listing eligible confounding variables based on prior knowledge
and research about the relationship of the dependent variable to each
covariate under consideration, only variables known to be reasonably
associated with the dependent variables and available in the data sets
were considered as potential confounders.
Physical functioning.
The Activities of Daily Living (ADL) and Instrumental Activities of
Daily Living (IADL) have been the most frequently assessed indicators
of disability (Hardley et al. 1993
, Kovar and Lawton 1994
). The NHANES III included four items of ADL
(dressing, eating, getting in or out of bed, and transferring) and two
items of nutrition-related IADL (preparing own meals and managing
money). The NSENY included five items of ADL (getting in/out of
chair/bed, feeding self, getting dressed, taking bath/shower,
toileting) and five items of IADL (getting around by car, using public
transportation, doing light housework, managing money, taking
medicine). A three-category indicator of physical function was
constructed as follows: 1) no problem (having no
difficulty in either ADL or IADL); 2) IADL problem
(having at least one difficulty in IADL); and 3) ADL problem (having at
least one difficulty in ADL).
Chronic disease. A chronic disease variable reflected the presence (vs. absence) of serious health problems in NSENY or at least one of the self-reported clinically diagnosed diseases that are highly prevalent and affect nutritional and health status among elderly persons that were available in NHANES III, such as arthritis, hypertension, health failure, stroke, cataract, cancer, diabetes mellitus and emphysema.
Sociodemographic and economic variables.
Age was divided into the following three groups: 1)
younger old (6069 y); 2) older old (7079 y); and
3) oldest old (
80 y). Race-ethnicity was
categorized into the following three groups: 1)
non-Hispanic White; 2) non-Hispanic-Black; and
3) Hispanic. Although previous research reported
different health appraisals due to different languages used in
interviews (Idler and Benyamini 1997
), we did not
include language differences in race-ethnicity classification
because we are interested in self-reported health status appraisal
separated by race-ethnicity, not in comparing health status across
race-ethnicity. Questions on marital status and household size were
used to create a three-category living arrangement variable as
follows: 1) living with spouse; 2) living
with others; and 3) living alone. Educational status was
broken down into two groups, i.e., high school graduate or less (
12
y) and more than high school graduate (>12 y). A social support or
social isolation variable was created with information about how often
subjects got together with friends or relatives, such as going out
together or visiting in each others homes. Location included two
categories, metro or nonmetro in NHANES III, and New York City or
non-New York City in NSENY. As an economic factor, the poverty
index ratio (PIR), computed as the midpoint of the observed family
income category in household interview divided by the poverty
threshold, was divided into the following five groups in NHANES III:
1) <50%, 2) 50100%,
3) 100130%, 4) 130200%, and 5)
>200%; in NSENY, there were two categories (
150% and >150%). For
the purpose of aiding comparison of the economic factor across the two
data sets, PIR for NHANES III was recoded into two categories (
130%
vs. > 130%). Food assistance program participation indicated whether
respondents took part in such programs available in their community at
that time. Programs for which information was available were the Food
Stamp Program and ENP in NHANES III and ENP in NSENY. In addition,
dichotomous variables were constructed to indicate gender, dietary
change due to health problems and use of vitamin/mineral
supplementation.
Statistical analysis
The General Linear Models procedure of SAS (SAS Institute, Cary, NC) for linear regression was used to assess the extent to which food-insecure elderly were likely to have lower nutrient intake and skinfold thickness and be at nutritional risk. Nutrient intake data were transformed by using the natural logarithm to approximate the normal distribution. This analysis compared relative means of nutrient intake and skinfold thickness between food insecure and secure groups while controlling for other confounding variables. The estimates for these variables were transformed back to the original units for presentation. To assess the association of food insecurity with self-reported health status, logistic regression was used with SAS PROC LOGISTIC.
Descriptive statistics were analyzed using sample weights and complex
survey effects that take into account oversampling, noncoverage and
nonresponse (Table 1
). The complex sample design was taken into account when calculating
variance estimates using SVY commands in STATA (Statacorp 1997
).
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| RESULTS |
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Nutrient intakes in food insufficient vs. food-sufficient elderly
are displayed as means adjusted for confounding factors, i.e., age,
gender, race-ethnicity, PIR, education, living arrangement, food
program participation, disease, physical functioning, dietary change
due to health problems, use of vitamin/mineral supplementation and
medication use (Table 2
). Food insufficient elderly had consistently lower mean intakes of 19
nutrients, significantly so for 12 nutrients, including energy,
protein, iron, zinc, vitamins B-6, and B-12, riboflavin and niacin. We
also estimated the adjusted nutrient intake as a percentage of
recommended dietary allowances (RDA) to compare relative adequacy of
nutrient intake in relation to current safe and adequate nutrition
allowances for the maintenance of good health among relatively healthy
elderly, despite its limitation (Fig. 1
). Regardless of food insufficiency status, older people consumed less
than the RDA for 8 nutrients including energy and calcium.
Food-insufficient elderly persons had even lower intakes for those
nutrients than did food-sufficient elderly persons. For example,
energy and calcium intakes in food-insufficient elderly persons
were about two thirds of RDA, 68.5 and 66.9%, respectively.
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Food-insecure elderly persons had on average a 1.59 point higher nutritional risk score than did food-secure elderly persons (P < 0.001), even after controlling for confounding factors affecting nutritional and health status in the elderly.
| DISCUSSION |
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Food-insufficient or food-insecure elderly persons had lower
nutrient intakes than those that were food secure. This result is
consistent with previous research (Cristofar and Basiotis 1992
, Kendall et al. 1995 and 1996
, Rose and Oliveira 1997
, Tarasuk and Beaton 1999
) and
further confirms the negative association of food insecurity with
nutrient intakes in elderly persons independent of poverty, disease,
functional impairments, age, gender, race-ethnicity and education.
A single 24-h dietary recall from a cross-sectional survey cannot
provide detailed information on the extent and duration of inadequate
nutrient intake among food-insecure elderly persons. However,
significantly lower skinfold thickness measures and inadequate eating
habits as indicated by nutritional risk in food-insecure elderly
persons suggests that they had had lower and poorer nutrient intake for
an extended time than did those who were food secure, which led to the
existence of cumulative effects on their energy stores and nutritional
risk status. In other words, persistent (or intermittent) food
insecurity that existed in the past among elderly persons may have led
them to consume lower nutrient intakes, and even change their body
composition and eating habits.
Moreover, food insecurity has a negative association with self-reported health status in elderly persons. It is not possible to determine whether this relationship found between food insecurity and self-reported health status is causal because the data sets used in this study do not provide information on the severity and duration of food insecurity, or the coping mechanisms of the food-insecure elderly. In addition, there is a potential for reverse causality between food insecurity and self-reported health among elderly persons because poorer health status may contribute to food insecurity through high medical bills and higher costs for medications. Demonstration of an association between food insecurity and poor self-reported health status, however, irrespective of the causal direction, indicates that the food-insecure elderly are at the risk of poorer nutritional and health status.
The two data sets for this study used different operational definitions
and measurements to determine food insecurity in elderly persons;
consequently, they may reflect different aspects of food insecurity.
Food-insufficient elderly persons in the NHANES III were determined
mainly by the availability of family food resources, whereas in the
NSENY, food-insecure elderly persons were determined by both
economic resources and the health problems that elderly persons might
have. Indeed, several studies estimating food insecurity in elderly
persons using different operational definitions and measurements in the
past yielded varying prevalence rates from 1.7 to 22% (Wolfe et al. 1996
), which was due mainly to limited
understanding of the nature and extent of food insecurity, specifically
in elderly persons. Until now, no direct measurement of food insecurity
in the elderly has been developed; such a measurement should be based
on a conceptual framework pertinent to elderly persons because of their
different physical and socioeconomic conditions, perceptions,
attitudes, and experiences throughout their life toward food problems.
Also, there has been concern with the potential underestimation of the
prevalence of food insecurity among elderly persons, particularly in
the national surveys. Only 1.7% of elderly persons from NHANES III,
and 5.5% from the Current Population Survey were food
insecure, which was lower than the figure for younger adults
(Alaimo et al. 1998, Hamilton et al. 1997
, Rose and Oliveira 1997
). A likely
explanation for these findings is the limited concepts and measures
that do not reflect the special characteristics of food insecurity in
elderly persons. Irrespective of limitations in using potentially
different aspects of food-insecure elderly samples from the two
data sets, however, our results showed a negative association between
food insecurity and nutritional and health status that was consistent
in both data sets. These results documented adverse effects on
nutritional and health status associated with food insecurity, whether
it is determined by food insufficiency or the three-item
food-insecure measure. These results suggest the need for more research
to understand fully the nature, extent and prevention of food
insecurity in elderly persons.
Optimal nutritional status is an important component of good health and
requires particular attention in elderly persons (Reuben et al. 1995
). Malnutrition exacerbates diseases, increases disability,
decreases resistance to infection and extends hospital stays among
elderly persons. Malnutrition results in increased costs to
care-givers by increasing care-giving demands, and inflates
national health care costs due to increased complication rates. Given
the unprecedented increase in the aging population, demand for health
care and social services by elderly persons will increase national
health care costs (Schneider and Guralnik 1990
). Health
care costs may be greatly reduced by improving the nutritional
well-being of elderly persons, especially those who are at the risk
of poorer health status (Rowe and Kahn 1998
). A decline
in nutritional status is not an inevitable part of the aging process or
of disease; rather, it is environmentally determined and frequently
results from inattention to risk factors that can be improved by
appropriate nutrition intervention (American Dietetic Association 1993
). Prevention of poor nutritional status among
elderly people makes an important contribution to their overall
well-being.
Given that the average nutrient consumption was below the RDA, more attention is required to ensure that elderly persons have adequate nutrient intake. Food assistance programs as a food safety net to reduce malnutrition in the elderly should be provided to elderly persons to prevent adverse nutritional and health status, and to provide health care cost saving for the nation. Careful attention should be given in particular to food-insecure elderly persons because their nutritional and health status was poorer than that of the average elderly.
With an increasing aging population, ensuring that every elderly person has enough food to eat to meet his or her nutritional needs may be one important way to help our elderly enjoy healthy, active and successful aging. Food-insecure elderly persons need more attention because food insecurity is an undesirable phenomenon, not only because of its relationship to poorer nutritional and health status, but also its ethical unacceptability.
| ACKNOWLEDGMENTS |
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| FOOTNOTES |
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3 Abbreviations used: ADL, Activities of Daily Living; ENP, Elderly Nutrition Program or participant of Elderly Nutrition Program; IADL, Instrumental Activities of Daily Living; MEC, mobile examination center; NHANES III, Third National Health and Nutrition Examination Survey; NSENY, Nutrition Survey of the Elderly in New York State; NSIC, Nutritional Screening Initiative checklist; PIR, Poverty Index Ratio; RDA, recommended dietary allowances. ![]()
Manuscript received June 13, 2000. Initial review completed August 24, 2000. Revision accepted February 15, 2001.
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