Household economic resources as a determinant of childhood nutrition: policy responses for New Zealand.
Walton, Mat ; Signal, Louise ; Thomson, George 等
Abstract
Improving the nutrition of children and reducing rates of childhood
overweight and obesity have been high priorities for the New Zealand
Government since 2000. The rates of childhood overweight and obesity
vary by ethnic group and socio-economic status, and reducing
inequalities in the burden of childhood overweight and obesity is an
explicit aim of the Government. This paper aims to identify policy
options that will have an impact on the economic drivers of childhood
nutrition and obesity. A qualitative model of the economic determinants
of childhood nutrition within a household setting is presented. The
model identifies cost barriers to sufficient healthy food as a key
factor in the foods purchased and consumed within a household. An
analysis of New Zealand household economic and nutritional data then
identifies policy options to improve childhood nutrition and reduce
rates of overweight and obesity. These policy options focus on cost
subsidies for non-discretionary household expenditure and reducing the
price of food to increase access to nutritious foods, including fruit
and vegetables.
INTRODUCTION
Nutrition, physical exercise and obesity have been identified as
important policy areas for the New Zealand Government since 2000
(Ministry of Health 2000), with children receiving particular attention
(Ministry of Health 2003c; Ministry of Social Development 2004)2.
Children who are overweight and obese are at risk of hypertension,
cardiovascular disease and depression in adolescence (Pyle 2006), while
in adulthood obesity is considered the main modifiable risk factor for
type 2 diabetes mellitus, and a significant risk factor for
cardiovascular disease and several common cancers (James et al. 1997;
Ministry of Health 2006). These non-communicable diseases will impose
significant costs on the public health system in future years (Ministry
of Social Development 2004).
New Zealand is not alone in highlighting obesity, nutrition and
physical exercise in public policy. Several European Union member states
have implemented policies to reduce the future obesity burden (Caraher
et al. 2006; Lang and Rayner 2005), and a similar need for government
action has been identified in the United States (Cawley 2006) and
Australia (Zimmet and James 2006).
According to the 2002 Children's Nutrition Survey, 9.8% of the
5-14-year-old population in New Zealand were obese, with another 21.3%
overweight (Ministry of Health 2003b). The rates were not uniform across
ethnic groups, with Pacific children experiencing the highest rates of
overweight and obesity (females 32.9% overweight, 31% obese; males 33.9%
overweight, 26.1% obese), followed by children of Maori ethnicity
(females 30.6% overweight, 16.7% obese; males 19.6% overweight, 15.7%
obese). Reducing the inequalities experienced in the burden of childhood
obesity is an explicit aim of government policy (Ministry of Health
2000, 2003c).
This paper examines the role of household economic resources and
deprivation as a determinant of childhood nutrition and childhood
overweight and obesity. We then look at broad policy options to improve
nutrition and reduce differences in overweight and obesity rates between
ethnic and socio-economic groups.
METHODS
The Causes of Overweight and Obesity
Policy interventions that include the aim of reducing inequalities
must be based on a theory of the causes of the problem to be addressed
and how interventions will have an impact on the problem (Swinburn et
al. 2005; Whitehead 2007). Obesity in children can be viewed as the
result of nutrition practices which combine biological and environmental
factors, starting in utero and carrying on through the life course
(Godfrey et al. 2007), which lead to an imbalance between energy
consumed and energy expended (World Health Organisation 2003). Nutrition
during critical periods of development may have life-long impacts on the
health of an individual (Ben-Shlomo and Kuh 2002; Rush et al. 2008).
Exposure to energy-dense foods during the life course can then add to
the disease risk (Ben-Shlomo and Kuh 2002; Godfrey et al. 2007).
Historically, many approaches to stabilising obesity rates have
focused on individual behaviour change--with limited success (Swinburn
et al. 1999). In a review of policy approaches to obesity, Lang and
Rayner (2005) note that policy responses should not rely on food and
activity choices made by children, as "their choices are for the
most part determined by features &the adult-framed environment, such
as transport, culture, education, and eating habits" (Lang and
Rayner 2005: 307-308). This view is supported by Drewnowski and Rolls
(2005) and Caraher and Coveney (2004), who argue that factors such as
class, gender, ethnicity, income and market forces governing access and
food supply act to constrain individual choices. This has been shown in
the Pacific Island Families Study, where almost 40% of mothers stated
that when finances are constrained, food choices are also constrained
(Rush et al. 2007). Within this resource-constrained environment, social
practices such as gift giving to family or church remain strong and can
make the financial situation in a household more difficult (Cowley et
al. 2004).
Swinburn et al. (1999) suggest that people find healthy lifestyles
difficult in environments that promote high energy intake and sedentary
behaviours, and that "systems-based, environmental interventions
are therefore needed to increase the rather modest impact of individual
and public education programs" (Swinburn et al. 1999: 563). Such an
intervention would consider nutrition practices within a household in
the context of cultural practices, physical and economic resources, and
the ability to implement changes within these environments.
A qualitative model of the social system that generates childhood
overweight and obesity within households was developed for this analysis
based on a narrative review of the literature. The model development was
informed by complexity theory (Blackman 2006; Byrne 1998, 2005), and
methods from systems theories (Checkland and Scholes 1990; Midgley
2000). Complexity theory focuses on the study of complex systems, where
a "system can be any collection of objects or processes deemed to
be of interest" (Gare 2000: 330). Complex systems have particular
properties, including responsiveness to local context; being composed of
numerous elements, including other complex systems; and behaving in a
non-linear manner (Shiell et al. 2008). For this work we have focused on
the complex systems around household resources (see Figure 1). A social
phenomenon, such as increasing rates of childhood overweight and
obesity, is seen as "emerging" from the relevant social system
as a whole. Thus, to understand childhood overweight and obesity, the
social system as a whole must be understood (Byrne 2005).
Literature Review Process
A narrative literature review (Mays et al. 2005) identified factors
within the household setting that lead to childhood nutritional practice
in New Zealand, with an explicit focus on differences in ethnic and
socio-economic status. Literature searches were conducted using Medline,
Academic Search Premier, Index New Zealand and PubMed, between January
and March 2007. Combinations of search terms were used to highlight
literature related to children's nutrition and the prevention of
obesity, and were limited to the English language. To increase the
relevance to New Zealand of factors identified in the literature, an
inclusion preference was given to review articles and research conducted
in New Zealand. In areas where comprehensive reviews were not found
(such as the location of food shopping outlets), original research
articles were included. In all, 33 journal papers were included in the
development of a model of factors influencing nutrition within the
household setting.
Mapping the System
The identified factors operating within the household setting were
grouped under thematic headings (Dixon-Woods et al. 2005), and mapped as
shown in Figure 1. The household setting was chosen as a focus because
it is the most influential setting on childhood nutrition for primary
school-aged children (Patrick and Nicklas 2005), potentially providing
all meals in a day, but also showing a gradient in practice among ethnic
and socio-economic groups (Utter et al. 2007; Utter et al. 2006b). The
interaction between the factors in Figure 1 was inductively identified
through the results presented in the literature, and therefore
represents a theory of how the interacting factors lead to the childhood
nutrition outcomes in New Zealand. The factors identified were:
* caregiver perceptions of food and nutrition, and parenting style
* food eaten within the household
* the agency of children (which changes with age)
* non-economic resources, such as time available for cooking and
shopping
* the cost of food
* the food purchasing practices of caregivers
* the food available in the community
* the economic resources available in the household.
No direction of interaction between factors is shown in the figure,
because it is assumed that within a complex social system factors are
mutually influencing in a non-linear fashion. Children's nutrition
"emerges" out of this system as a whole.
Figure 1 highlights "household economic resources
available" and "food available in community" because they
were identified as having a controlling influence on other factors and
the system as a whole (Blackman 2006; Byrne 2001). That is, these
factors limit the range of food purchased and consumed more than
personal influences such as preference for food types. These controlling
factors are themselves influenced by systems outside of the household
setting. From a policy perspective, controlling factors should be the
focus of analysis and action in terms of having a positive impact on
childhood nutrition outcomes (Blackman 2006). The following analysis
focuses on household economic resources only.
Recent New Zealand research suggests that physical access to food
outlets may be slightly better in more deprived neighbourhoods (Pearce
et al. 2008a), and that there is not a simple relationship between
location of food outlets and nutrition practices, as measured by fruit
and vegetable intake (Pearce et al. 2008b). This suggests that factors
such as the type and quality of goods for sale in food outlets,
transport options and cost of food all need to be considered when
looking at the availability of food in a community. The aim of the
analysis below is to identify policy options that will influence these
household economic resource factors, so that the ability to choose
healthy food can be increased for households, with a possible flow-on
effect of improving childhood nutrition and reducing rates of childhood
overweight and obesity.
ANALYSIS OF HOUSEHOLD ECONOMIC RESOURCES AS A DETERMINANT OF
CHILDHOOD NUTRITION
Household economic resources in relation to food can be defined as
money available to spend on food after all other non-discretionary costs
have been removed. The theory represented in Figure I, based on the
literature review, suggests that as the money available to spend on food
decreases, there is a corresponding decrease in the degree of choice
parents have in the foods they purchase. At the same time, an
availability of low-cost energy-dense food provides an affordable option
for parents with limited resources, which in turn may have an impact on
how much of household money is prioritised for food purchases. When
household economic resources are severely limited, there is more
pressure to provide food to ensure family members are not hungry, and
this may take precedence over the nutrient value of meals (Drewnowski
and Specter 2004; Jain et al. 2001).
[FIGURE 1 OMITTED]
Unlike rent or mortgage payments, the amount of money a household
spends on food is to some degree discretionary (Turrell 1996; Turrell
and Kavanagh 2006). Drewnowski and Darmon (2005) suggest that low-income
families, in the face of diminishing income, will attempt to maintain
food costs as a fixed percentage of income, which will drive families in
the direction of energy-dense foods and a higher proportion of food
containing grains, added sugars and added fats. When faced with marginal
increases in income, this pattern is unlikely to change for low-income
families (Drewnowski 2004). This assertion is supported by studies that
have reported cost as a key factor in purchasing vegetables, fruit and
perceived healthier goods among lower socio-economic households
(Campbell et al. 2002; Drewnowski 2004; Inglis et al. 2005; Signal et
al. 2008). Findings from the Pacific Islands Family Study also support
this assertion to some degree, by showing an inverse relationship
between the energy density of foods and energy cost (Rush et al. 2007).
However, families faced with financial constraints often chose to buy
more nutritious foods, such as bread, milk and meat, rather than
convenience foods (Rush et al. 2007).
A key piece of research in New Zealand that provides some insight
into household resources is the New Zealand Living Standards work
produced by the Ministry of Social Development (Jensen et al. 2006). It
uses a survey tool to measure households' access to amenities,
social and recreational activities, preferred foods, and so on. The
responses are scored against an index known as the Economic Living
Standard Index. Scores are divided into seven categories, ranging from
"severe hardship" through to a "very good" living
standard. Severe hardship includes:
* a restriction due to cost of items termed as basic, such as fruit
and vegetable purchases and household heating
* accommodation problems
* financial problems, including difficulty paying rent, mortgage or
utilities
* a few items defined as luxuries.
As living standards improve, the percentage of basics and luxuries
increases while the number of accommodation and financial problems
decreases.
Although no direct correlation can be drawn between the 2004 Living
Standards Survey results (Jensen et al. 2006) and the 2002
Children's Nutrition Survey results (Ministry of Health 2003b),
there are similarities in the proportion of households with children
living in hardship and the proportion of children overweight and obese.
As shown in Table 1, the percentage of children within ethnic groups who
are overweight or obese shows a similar trend to households with
children in some degree of hardship, for each of the Maori, Pacific, and
New Zealand European and Other groupings. This suggests some likely
cross-over in these groups. Links between socio-economic status, whether
defined by income or parental education, and childhood obesity have been
shown in the literature (Bhattacharya et al. 2004; Danielzik et al.
2005; Ministry of Health 2003b). Consistent with this literature, the
similarity in the proportion of households in hardship and the
proportion of children overweight and obese shown in Table 1 suggests
that household economic resources may be an important factor in
determining nutrition practices in households in New Zealand.
Severe hardship is also more likely to be experienced in households
with a single parent, or with three or more children, and particularly
where an income-tested benefit is the main income source (Jensen et al.
2006). Households in hardship will often forego purchasing items or
engaging in activities, as shown in Table 2. For children this includes
postponing visits to the doctor, buying school supplies, and engaging in
sporting and cultural activities (Jensen et al. 2006).
Twenty-two percent of households reported in the 2002
Children's Nutrition Survey that they could not always afford to
eat properly (Ministry of Health 2003b). Of these households, 22% said
they sometimes ran out of food, 18% stated they sometimes needed to eat
less, 35% said they restricted the variety of food purchased, while 21%
sometimes needed to rely on others, food banks or special grants for
food. Analysis of the survey results by Parnell et al. (2005) indicates
that children from food-insecure households had lower levels of nutrient
intake of lactose and calcium (from dairy products), and of
[beta]-carotene and vitamin A (from fruit and vegetables). Rush et al
(2008) have shown that a higher proportion of fruit and vegetables in
the diet of families is associated with higher birth weights but lower
BMI and weight gain over the first four years of life, both of which
have established links to health outcomes in later life. This highlights
the importance of a healthy, nutritious diet and the impacts that food
insecurity in households with children could have on later health
outcomes.
The University of Otago Department of Nutrition undertakes an
annual survey of supermarkets to track the cost of food (measured as a
food basket) in New Zealand (Department of Human Nutrition 2006). The
basic basket consists of the most commonly consumed fruit and
vegetables, and the lowest priced items from different food categories
that are needed to meet the nutrition needs of most people, according to
the New Zealand Food and Nutrition Guidelines (Ministry of Health 1997,
1998, 2003a). Spending less than the cost of the basic food basket on
food places households at risk of inadequate nutrition. Table 3 shows a
comparison of weekly food expenditure, by household composition, as
described by the 2004 Household Economic Survey (Statistics New Zealand
2004) with the national average cost of a basic food basket in 2004.
While all household types have an average weekly expenditure on
food sufficient to purchase the basic food basket, both the average
single parent and an average couple with three or more children would
not be able to afford the basic basket if the cost of an adolescent male
were used rather than that of a 10-year-old child. As it stands, the
difference between average expenditure and the cost of a basic food
basket is minimal, especially for single-parent households. This means
that for those in these groups with incomes appreciably below the
average, or with non-food expenditure appreciably above the average
(such as those with high housing costs), the inability to meet nutrition
needs could be a common occurrence.
It can be assumed that periods of not being able to afford food or
other items, as described above, arise due to pressures to spend in
other areas such as rent or utility bills (Turrell 1996). Although
further research is required that describes the trade-offs and lifestyle
experienced by households in these hardship categories, it seems
reasonable to assume some connection between the higher proportions of
Maori and Pacific children reporting inactivity and TV watching (Utter
et al. 2006a; Utter et al. 2006b) with households in hardship having to
restrict children's involvement in sporting and cultural lessons,
and with limited space to play. Added to this is the likelihood that
energy-dense and nutrient-poor food is cheaper than low-energy and
nutrient-dense foods (Andrieu et al. 2006; Drewnowski 2004; Drewnowski
and Darmon 2005; Rush et al. 2007) and it can then be seen how household
economic resources could heavily influence nutrition practice and,
ultimately, rates of obesity.
POLICY OPTIONS FOR INCREASING HOUSEHOLD ECONOMIC RESOURCES TO SPEND
ON FOOD
With reference to Figure l, it seems likely that in order to
increase household economic resources to spend on food, either caregiver
purchasing practices could be changed, the cost of food reduced, or
total household economic resources increased through additional income
or reduced expenses.
From late 2004 until 2007 the Government in New Zealand has
implemented a series of changes to the financial assistance available to
low- to middle-income families with children. This is known as the
Working for Families package. The aim of the package is to ensure income
adequacy, and to support people into work through a series of tax
rebates and in-work payments (Jensen et al. 2006). The evaluation of the
Working for Families package shows a high level of uptake among eligible
families (Ministry of Social Development and Inland Revenue 2006). It is
difficult to say, however, what impact this has had on reducing the
number of households in the hardship living standard categories, because
income is not the only factor that contributes to deprivation (Jensen et
al. 2007).
There are a couple of obvious limitations to the policy in terms of
the way it can support improved nutrition practices. Firstly, the
Working for Families in work payment is only available to parents who
are receiving salary and wages, and does not apply to beneficiaries. The
Living Standards research reports that 32% of sole-parent beneficiaries
and 31% of two-parent beneficiary households are in severe hardship
(Jensen et al. 2006). It can be assumed, therefore, that the Working for
Families package will have a limited role in promoting the purchase and
consumption of nutrient-dense foods among households with income support
benefits as their primary source of income. The second limitation is
that for households in hardship categories, there are many restrictions
experienced due to cost, such as visits to the doctor, as shown in Table
2 above, or cultural practices, such as gift giving in Pacific
communities (Cowley et al. 2004). Any increase in income will need to be
split between these discretionary items, depending on the pressures at
that point in time.
To improve this situation it is likely that several approaches are
required. Firstly, if competing demands for discretionary spending on
what are in effect non-discretionary items --such as visits to doctors,
school supplies, household heating and housing costs--are reduced, the
opportunity for any additional income being used on food with improved
nutritional quality is increased. Already subsidies for children's
doctor visits have been increased (Ministry of Health 2001). However,
additional subsidy or full funding arrangements may be required for the
costs to families of school books, fees and extra activities, and for
involvement in sporting and cultural activities. Reducing required
household expenditure on items such as utility bills and housing costs
may have additional health benefits to the household, as well as the
potential for increased food expenditure (Frank et al. 2006;
Howden-Chapman 2004).
Secondly, the cost of food items that are likely to improve
nutritional practice could be reduced. Using the tax system to change
the cost of food is one possible policy option (Wall et al. 2006).
Although a review of taxes on foods by Caraher and Cowburn (2005) did
not identify any jurisdiction where taxes on food are used as
interventions for improving population-level nutrition, there are
examples of differential taxes being applied to foods that may reduce
the cost of healthy nutritious foods relative to other food products.
For example, Value Added Tax (VAT) in the UK is applied to some
"treat foods" but not to the majority of foods, while in
Australia Goods and Services Tax is excluded from most foods (Caraher
and Cowburn 2005). There is currently a 12.5% Goods and Services Tax on
all food in New Zealand, which could be reduced or removed for some
foods, such as fruit and vegetables, lower fat milk and more
nutrient-dense bread. If a trend of higher food prices continues (there
was a rise of 9.9% in food cost for the year to October 2008 (Statistics
New Zealand 2008), the relevance of policy options that have an impact
on the price of food is likely to increase.
Many of the current childhood nutrition policies focus on schools
as a site of intervention (Clark 2006; New Zealand Government 2006).
From a school perspective, if household economic resources restrict the
availability of nutritious foods for children, then improving the
availability of these foods within the school environment is likely to
help offset the impact of the home environment to some degree. This
would suggest that programmes such as Fruit in Schools should be
extended, and possibly other programmes introduced, such as school
breakfasts or lunches. This is consistent with evidence in countries
that have school food services (such as the United States and United
Kingdom), and the improvements in nutrient intake for children when
quality meals are provided in the school environment (Anderson et al.
2005; Fleischhacker 2007; Rampersaud et al. 2005).
DISCUSSION
The policy options identified above result from a complexity
theory-driven review of nutrition-related literature. The analysis
suggests that for households in some degree of deprivation, and with
limited economic resources, policies to increase the money available to
purchase healthy food and to reduce cost barriers to healthy foods are
required. Interventions aimed at promoting healthy purchases by parents
and children can be implemented at the same time. However, until healthy
choices are more accessible for all households, such interventions are
likely to have limited impact at best, and increase inequalities in
nutrition outcomes at worst. This is because household resources limit
the ability of members of the household, including parents, to
consistently access healthy, nutritious foods.
The impact of household resources on the foods purchased and
consumed highlights the importance of considering the flow-on impacts of
policies (such as income support policies) on multiple adjacent policy
areas, including nutrition and public health. The results of this
analysis reinforce the use of planning tools such as health impact
assessments, which assist policy makers and others to assess the impact
of policies outside the health sector on health wellbeing and equity
(Signal et al. 2006).
The analysis presented in this paper has several implications for
existing nutrition and income support policies. Many of the policy
interventions currently being implemented under the Mission-On set of
initiatives are various social marketing campaigns (New Zealand
Government 2006). The above analysis suggests that these campaigns need
to be supported by interventions that focus on income security and
supply of healthy nutritious foods. The Healthy Eating--Healthy Action
(HEHA) Strategic Framework (Ministry of Health 2003c, 2004) recognises
that such interventions are required, but these have not yet flowed
through into intervention plans.
Evaluation of the Working for Families package should include an
assessment of the impacts on health. This analysis shows important
nutritional implications for households with income support benefits as
their primary income source, and how the cost of food and other health
necessities is related to income adequacy.
The merits of a complex system-focused policy analysis and
intervention design are shown through this analysis. The analysis,
however, is based on the available literature, and therefore may be
missing important elements of difference between households, such as
those based on ethnic group, geographical distribution or history of
deprivation. The analysis does, however, provide a model of the factors
interacting within a household that have an impact on childhood
nutrition, which can be refined further through primary research.
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Mat Walton (1)
Louise Signal
George Thomson
Health Promotion and Policy Research Unit
Department of Public Health
University of Otago, Wellington
(1) Acknowledgements The authors would like to thank Carolyn Watts
and Gabrielle Jenkin for comments on earlier drafts of this paper.
Funding for this research came from the Health Sponsorship Council MPH
Scholarship for Mat Walton. and the University of Otago Faculty of
Medicine Trust Fund.
Correspondence Mat Walton, Department of Public Health, University
of Otago, PO Box 7343, Wellington. Email: mathew.walton@otago.ac.nz
(2) This paper was written in 2007 and accepted for publication in
2008. More recent child overweight and obesity prevalence figures and
Household Economic Survey data is available, while some changes have
been made to Government funded nutrition programmes.
Table 1 Percentage of Children Overweight and Obese and Percentage
of Households with Dependent Children in Hardship
Ethnicity and gender Total percentage Total percentage of
overweight and economic family
obese (1) units with dependent
children in
hardship (2)
Maori males 35.3
Maori females 47.3
Maori households 44
Pacific males 60
Pacific females 63.9
Pacific households 61
NZEO (3) males 23.1
NZEO females 24.8
European households 30
(1) 2002 Children's Nutrition Survey (Ministry of Health 2003b)
(2) New Zealand Living Standards 2004 (Jensen et al. 2006: 108)
(3) NZEO refers to New Zealand European ethnic category plus
'Other' ethnic category
Table 2 Percentage of Households with Dependent Children in Hardship
Reporting Restrictions Due to Cost of Items
Households Households in
in severe significant
hardship (%) hardship (%)
Item not obtained / participated
in because of cost
Personal computer 55 27
Internet access 51 30
Have child's friend over for a meal 38 9
Consumption cut back because of cost
Not one on school outings 66 32
Not bought school books/supplies 49 30
Postponed child's visit to doctor 46 19
Child's involvement in sorts limited 66 42
Child went without cultural lessons 55 50
Limited space for child to study or play 72 48
Households
in some
hardship (%)
Item not obtained / participated
in because of cost
Personal computer 23
Internet access 23
Have child's friend over for a meal 6
Consumption cut back because of cost
Not one on school outings 26
Not bought school books/supplies 19
Postponed child's visit to doctor 20
Child's involvement in sorts limited 40
Child went without cultural lessons 40
Limited space for child to study or play 34
Source: (Jensen et al. 2006: 113)
Table 3 Average Weekly Food Expenditure, by Household Composition, 2004
Basic cost Difference between
Household Weekly food basket for weekly expenditure
Composition expenditure (1) household (2) and basic
food basket
Couple only $139.10 $96.80 $42.30
Couple with
1 child $160.90 $138.60 $22.30
Couple with
2 children $195.20 $167.00 $28.20
Couple with
3+ children $213.50 $193.40 $20.10
Single parent
(1+ children) $93.10 $89.20 $3.90
Basic basket cost as
Household percentage of
Composition weekly food
expenditure
Couple only 70%
Couple with
1 child 86%
Couple with
2 children 86%
Couple with
3+ children 91
Single parent
(1+ children) 96%
(1) 2004 Household Economic Survey (Statistics New Zealand 2004)
(2) University of Otago Food Cost Survey 2004 (Department of Human
Nutrition 2006), for cost calculation, national average of costs,
with assumptions that first child was 10 years old, second child 5
years old, third child 4 years old, and single parent is a women
with one child.