Dietary carbohydrates in hunter-gatherers
When hunter-gatherer societies of the 20th century left their Stone Age existence behind, they not only became literate and began reading within one or two generations, but they characteristically altered the type of food they had previously consumed (Schaefer 1971; Schaefer 1977). In their study of 229 hunter-gatherer societies, Cordain et al. (2000) found that although refined cereals and sugars were rarely if ever consumed by groups living in their traditional manner, these foods quickly became dietary staples following western contact. Schaefer (1971; 1977) has shown that, in two Eskimo groups undergoing western acculturation, the per capita consumption of sugar in all forms increased from 11.8 kg in 1959 to 47.4 kg in 1967. The same groups' per capita consumption of cereals and flour products increased from 71.0 kg in 1959 to 80.0 kg in 1967. Prior to western contact, neither of these carbohydrates was ever consumed (Stefansson 1919).
Hunter-gatherer diets are typically characterized by high levels of protein, moderate levels of fat and low levels of carbohydrate when compared to modern western diets (Cordain et al. 1999). The carbohydrates present in hunter-gatherer diets are of a low glycaemic index: they are slowly absorbed and produce a gradual and minimal rise in plasma glucose and insulin levels when compared to the sugars and refined starches in western diets (Thorburn et al. 1987a; Thorburn et al. 1987b). The glycaemic index is influenced by the particle size, processing technique, and relative fibre, protein and fat content of the carbohydrate food. The glycaemic index of mixed meals is determined by multiplying the percentage of total meal carbohydrate by its glycaemic index and summing these values for all foods (Wolever et al. 1991). The total glycaemic load is the (glycaemic index × carbohydrate content) of each food.
The addition of high glycaemic load carbohydrates to the diet represented a near universal change in the nutritional patterns of hunter-gatherer populations as they made the transition from forager to modern consumer in the 20th century (Brand & Colagiuri 1994; Eaton et al. 1997). Studies of recently acculturated hunter-gatherer populations that have adopted western dietary patterns frequently show high levels of hyperglycaemia, insulin resistance, hyperinsulinaemia and type II diabetes (Ebbesson et al. 1998; Daniel et al. 1999). Conversely, hunter-gatherer populations in their native environments rarely exhibit these symptoms (Schaefer 1969; Merimee et al. 1972; Spielman et al. 1982; O'Dea 1984).
The secular increase in high glycaemicload foods in industrialized countries
Hunter-gatherer populations that adopted modern foods in the 20th century were subjected to an immediate change from low glycaemic to high glycaemic load carbohydrates that occurred shortly after western contact began. In industrialized countries, this dietary shift occurred more slowly over the 200 or so years since the advent of the industrial revolution as more and more refined sugars were gradually included in the diet along with increasingly greater levels of refined cereals. Although highly refined sugars and cereals are common elements of the modern urban diet, these carbohydrates were eaten sparingly or not at all by the average citizen in 17th and 18th century Europe and only started to become available to the masses after the industrial revolution (Teuteberg 1986). In England, the per capita consumption of sucrose has risen steadily risen from 6.8 kg in 1815 to 54.5 kg in 1970 (Cleave 1974). Although refined cereals represent the highest percentage of carbohydrate in the western diet, this has not always been the case (Cordain et al. 1999). Only with the widespread introduction of steel roller mills in the late 19th century (∼ 1880) did fibre-depleted wheat flour of a low extraction (≤ 70%) become widely available (Cleave 1974). Hence, over the last 200–250 years the average glycaemic load of foods in urban areas of industrialized countries has risen steadily, primarily because of increasing consumption of refined cereals and sugars (Cleave 1974). Populations living in more rural areas of both industrialized and non-industrialized countries typically have limited access to processed foods, sugars and refined cereal products (Trowell 1985). Accordingly, their diets are usually comprised of locally grown, minimally processed foods, and hence the glycaemic load of these traditional foods is generally lower than highly processed and packaged foods typically available in urban markets (Foster-Powell & Brand Miller 1995). Table 1 shows the glycaemic index and glycaemic load of both traditional and processed foods.
Table 1. Glycaemic indices and loads (glycaemic index × carbohydrate content in 10 g portions) of refined western foods and unrefined traditional foods (glucose as reference standard = 100), adapted from Foster-Powell & Brand Miller (1995). | Food | Western refined foods | Food | Unrefined traditional foods |
|---|
| Glycaemic index | Glycaemic load | Glycaemic index | Glycaemic load |
|---|
| Rice crispie cereal | 88 | 77.3 | Parsnips | 97 | 19.5 |
| Jelly beans | 80 | 74.5 | Baked potato | 85 | 18.4 |
| Cornflakes | 84 | 72.7 | Boiled millet | 71 | 16.8 |
| Lifesavers | 70 | 67.9 | Boiled broad beans | 79 | 15.5 |
| Rice cakes | 82 | 66.9 | Boiled couscous | 65 | 15.1 |
| Table sugar (sucrose) | 65 | 64.9 | Boiled sweet potato | 54 | 13.1 |
| Shredded wheat cereal | 69 | 57.0 | Boiled brown rice | 55 | 12.6 |
| Graham crackers | 74 | 56.8 | Banana | 53 | 12.1 |
| Grapenuts cereal | 67 | 54.3 | Boiled yam | 51 | 11.5 |
| Cheerio cereal | 74 | 54.2 | Boiled garbanzo beans | 33 | 9.0 |
| Rye crispbread | 65 | 53.4 | Pineapple | 66 | 8.2 |
| Vanilla wafers | 77 | 49.7 | Grapes | 43 | 7.7 |
| Corn chips | 73 | 46.3 | Kiwi fruit | 52 | 7.4 |
| Mars bar | 68 | 42.2 | Carrots | 71 | 7.2 |
| Stone wheat thins | 67 | 41.9 | Boiled peas | 48 | 6.8 |
| Shortbread cookies | 64 | 41.9 | Boiled beets | 64 | 6.3 |
| Granola bar | 61 | 39.3 | Boiled kidney beans | 27 | 6.2 |
| Angel food cake | 67 | 38.7 | Apple | 39 | 6.0 |
| Bagel | 72 | 38.4 | Boiled lentils | 29 | 5.8 |
| Doughnuts | 76 | 37.8 | Pear | 36 | 5.4 |
| White bread | 70 | 34.7 | Watermelon | 72 | 5.2 |
| All bran cereal | 42 | 32.5 | Cherries | 22 | 3.7 |
| Whole wheat bread | 69 | 31.8 | Peach | 28 | 3.1 |
| Croissant | 67 | 31.2 | Peanuts | 14 | 2.6 |
Hyperinsulinaemia and the consumptionof high glycaemic load foods
Over the past 20 years, accumulating evidence has shown that the consumption of foods with a high glycaemic load, such as processed foods containing refined starches and sugars, promotes the development of both acute and chronic hyperinsulinaemia. Numerous studies have demonstrated that the addition of sucrose to the diet of both normal (Reiser et al. 1979; Coulston et al. 1983) and hyperinsulinaemic subjects (Reiser et al. 1981) causes an increase in postprandial insulin levels. Larger intakes of sucrose (35% total energy) have been shown to decrease insulin sensitivity (Beck-Nielsen et al. 1978), and impaired insulin binding also occurs from high fructose feedings (Beck-Nielsen et al. 1980; Dirlewanger et al. 2000). Further, dietary intervention studies using low glycaemic loads are known to improve insulin sensitivity (Frost et al. 1998), and low glycaemic loads reduce the risk of type II diabetes (Salmeron et al. 1997). In contrast, intervention studies manipulating dietary fatty acids have shown no beneficial effects upon insulin metabolism (Vessby 2000), nor have dietary interventions been able to show deleterious effects upon insulin sensitivity when total fat was increased from 20 to 40% energy (Riccardi & Rivellese 2000). When dietary manipulations lead to weight loss, insulin sensitivity is generally improved (Klein 2001). Collectively, these studies show that increasing consumption of high levels of refined carbohydrates, particularly under hyper caloric conditions, is partially responsible for the worsening of glycaemic control, which may in turn promote insulin resistance and compensatory hyperinsulinaemia (Reaven 1994).
Hyperinsulinaemia and insulin likegrowth factor (IGF) and IGF bindingproteins
The metabolic ramifications of dietary induced perturbations of insulin action are diverse and complex. It has recently been demonstrated that the compensatory hyperinsulinaemia that characterizes adolescent obesity chronically suppresses hepatic synthesis of insulin like growth factor binding protein-1 (IGFBP-1), which in turn serves to increase free insulin like growth factor-1 (IGF-1), the biologically active part of circulating IGF-1 (Nam et al. 1997; Attia et al. 1998). Circulating levels of insulin and IGFBP-1 vary inversely throughout the day, and the suppression of IGFBP-1 by insulin (Brismar et al. 1994), and hence elevation of free IGF-1, may be maximal when insulin levels exceed 70–90 pmol/L (Holly 1991). Additionally, growth hormone (GH) levels fall via negative feedback of free IGF-1 on GH secretion, resulting in reductions in IGFBP-3 (Attia et al. 1998). These experiments show that both acute (Attia et al. 1998) and chronic (Nam et al. 1997; Attia et al. 1998; Wong et al. 1999) elevations of insulin result in increased circulating levels of free IGF-1, a potent stimulator of growth in all tissues. Because consumption of refined sugars and starches promotes both acute and chronic hyperinsulinaemia, these common foods in the western diet have the potential to elevate free IGF-1 and lower IGFBP-3 in all peripheral tissues, including scleral chondrocytes and fibroblasts.
The reductions in IGFBP-3 stimulated by elevated serum insulin levels (Nam et al. 1997; Attia et al. 1998) or by acute ingestion of high glycaemic carbohydrates (Liu 2000) may also contribute to unregulated cell proliferation in scleral tissue. Insulin like growth factor binding protein-3 has been shown to act as a growth inhibitory factor in murine knockout cells lacking the IGF receptor (Valentinis et al. 1995). Accordingly, in this capacity IGFBP-3 is inhibitory to growth by preventing IGF-1 binding to its receptor. Consequently, enhanced scleral growth may result synergistically from both elevations in free IGF-1 and reductions in IGFBP-3.
Hyperinsulinaemia and retinoid receptors
Retinoids are natural and synthetic analogues of vitamin A that inhibit cell proliferation and promote apoptosis (programmed cell death) (Evans & Kay 1999). The body's natural retinoids (trans retinoic acid and 9 cis retinoic acid) act by binding two families of nuclear receptors: retinoic acid receptors (RARs) and retinoid X receptors (RXRs). Retinoid receptors, in turn, activate gene transcription by binding as RAR/RXR heterodimers or RXR homodimers to retinoic acid response elements located in the promoter regions of target genes whose function is to limit growth in many cell types (Yang et al. 2001). It has recently been established that IGFBP-3 is a ligand for the RXR alpha nuclear receptor and that IGFBP-3 enhances RXR-RXR homodimer mediated signaling (Liu et al. 2000). Studies in knockout rodents show that the RXR alpha gene is required for actions of the two endogenous retinoic acid ligands (trans retinoic acid and cis 9 retinoic acid) (Chiba et al. 1997; Wendling et al. 1999), and both RXR alpha agonists and IGFBP-3 are growth inhibitory in many cell lines (Grimberg & Cohen 2000).
Additionally, RXR alpha receptors are preferentially found in periocular mesenchyme (Mori et al. 2001) and scleral chondrocytes (Fischer et al. 1999). Consequently, low plasma levels of IGFBP-3 induced by hyperinsulinaemia may reduce the effectiveness of the body's natural retinoids in activating genes that would normally limit scleral cell proliferation.
Proposed model of juvenile-onset myopia
Numerous studies have conclusively demonstrated that, in juvenile-onset myopia, abnormal axial elongation of the eyeball is the major structural change that causes refractive errors in distance vision (Zadnik et al. 1993; Lin et al. 1996; Lam et al. 1999). Both animal (Raviola & Wiesel 1985; Troilo & Wallman 1991; Norton & Siegwart 1995) and human (Meyer et al. 1999) studies suggest that the absence of a clear retinal image during critical periods of postnatal development triggers an axial elongation of the vitreal chamber producing a so-called form deprivation myopia. Furthermore, in animal models of form deprivation myopia, there is a characteristic active remodelling and differentiation of scleral cartilage brought about by proliferation of both scleral chondrocytes and fibroblasts that causes the axial elongation of experimental myopia (Seko et al. 1995; Kusakari et al. 1997; Gentle and McBrien 1999).
The chemical messenger linking retinal image clarity to appropriate growth rates in scleral tissue has recently been shown to be retinoic acid synthesized by both the retina and choroid (Bitzer et al. 2000; Mertz & Wallman 2000). Reduced choroidal synthesis of retinoic acid increases scleral growth, whereas increased synthesis of retinoic acid slows growth (Mertz & Wallman 2000). Consequently, excessive near work may induce myopia because form deprivation causes the choroid to produce too little retinoic acid.
Compensatory hyperinsulinaemia, via its lowering of plasma IGFBP-3 and subsequent reduction in RXR homodimer signaling, may augment scleral tissue growth by attenuating the ability of endogenous retinoids to activate genes that would normally limit scleral cell proliferation. Additionally, diet-induced hyperinsulinaemia chronically elevates IGF-1, which may operate synergistically with plasma reductions in IGFBP-3 to accelerate scleral tissue growth. Figure 2 schematically represents our model of juvenile-onset myopia.
Corroborative evidence
The recent realised fact that hyperinsulinaemia elicits an abnormal increase in circulating levels of free IGF-1 has ramifications that extend beyond the accelerated growth of scleral tissue and the development of myopia. Free IGF-1 is a potent mitogen for virtually all of the body's tissues (Ferry et al. 1999), as well as a stimulant for increased growth velocity during puberty (Juul et al. 1995). Numerous studies have confirmed that low levels of IGF-1 are associated with reduced stature (Blum et al. 1993; Lindgren et al. 1996) and conversely high levels are known to result in increased stature (Gourmelen et al. 1984; Binoux & Gourmelen 1987; Blum et al. 1993). Human recombinant IGF-1 therapy has also been shown to improve linear growth (Camacho-Hubner et al. 1999). Further, hyperinsulinaemic subjects with elevated levels of free IGF-1 are more sexually mature than subjects with superior insulin sensitivity (Travers et al. 1998; Wong et al. 1999), and recombinant IGF-1 therapy has been shown to accelerate the tempo of puberty in a primate model (Wilson 1998). Recently, Wong et al. (1999) provided metabolic evidence showing that black American girls were more advanced in their pubertal development and taller than a comparable group of white American girls. Further, circulating levels of IGFBP-1 were lower in the black group than in the white group, while circulating levels of insulin and free IGF-I were higher in the black group than in the white group. This suggests that the metabolic cascade (insulin resistance – hyperinsulinaemia – decrease in hepatic IGFBP-I production – increase in circulating free IGF-I – accelerated growth) may take place. Collectively, this evidence supports the view that increased levels of IGF-1 act systemically to cause increased stature and an earlier onset of puberty.
As consumption of refined carbohydrates has the capacity to acutely and chronically elevate insulin levels, which in turn increase circulating levels of free IGF-1, it might be assumed that epidemiological studies would indicate a relationship between the consumption of high glycaemic foods and increased stature and earlier onset of puberty. Further, it might be expected that myopes would tend to consume foods of a higher glycaemic index, be taller, have an earlier pubertal age and present more frequently with type II diabetes than non-myopes.
Industrialized countries have witnessed a steady and progressive secular increase in stature and reduction in pubertal age over the 200–250 years since the advent of the industrial revolution (Malina 1990). The standard explanation for this trend has been that improvements in nutrition, particularly increases in protein and fat from animal sources, and improvements in hygiene operate to increase stature (Roche 1979). In contrast to this explanation, Ziegler (1967, 1969) has demonstrated that the secular increase in stature correlates highly with sucrose consumption in the UK, Japan, Netherlands, Sweden, Norway, Denmark, the USA and New Zealand. In support of Ziegler's hypothesis, Schaefer's (1970) data on recently acculturated Eskimos shows that during the 30-year period (1938–68) when a several fold increase in the consumption of sucrose and refined carbohydrates occurred, the group's average stature increased (by 4.6 cm in men and 2.9 cm in women), while its average age of onset of puberty (by − 2.0 years). Moreover, animal protein intake during the period declined by 60%. Since then, a study examining the relationship of dietary fibre to the age of menarche in girls from 46 countries has demonstrated a strong positive correlation (r = 0.84) (Hughes & Jones 1985). Because dietary fibre is inversely related to the glycaemic index (Foster-Powell & Brand Miller (1995); Salmeron et al. 1997), this relationship supports the hypothesis that increasing consumption of refined carbohydrates may accelerate pubertal development. Further, multiple studies have demonstrated that hyperinsulinaemia and insulin resistance occurs more often in women with premature menarche than in compared to women with normal menarche (Loffer 1975; Ibanez et al. 1998). Taken together, these studies indicate that intakes of high glycaemic carbohydrates correlate well in time and space with the secular trends for increased stature and decreased pubertal age.
Many surveys of myopes have shown them to be taller than non-myopes (Johansen 1950; Gardiner 1954; Pendse & Bhave 1954; Gardiner 1955; Gardiner 1956a; Benoit 1958; Gardiner 1958; Douglas et al. 1967; Scholz 1970; Johnson et al. 1979; Krause et al. 1982; Teikari 1987; Teasdale & Goldschmidt 1988). However, not all surveys have shown myopes as taller (Young et al. 1954; Sorsby et al. 1961; Gawron 1981; Parssinen et al. 1985; Rosner et al. 1995). In a study examining the refractive errors in an isolated Labrador community of Eskimos, mixed Eskimo-Caucasians, and Caucasians, Johnson et al. (1979) demonstrated that the children of the Eskimos and mixed race population were taller than their parents, had greater axial eyeball lengths, and were more myopic. These researchers showed that the rise in the incidence of myopia, increased axial eyeball length and stature occurred coincidentally with the increasing volume of store foods (mainly in the form of carbohydrates) that had become available in the preceding 30 years. Gardiner (1955, 1956a, 1964) has extensively studied the growth patterns of myopes and has concluded that ‘myopic children grow and mature faster than other children and that the more myopic they are, the more these trends are exhibited’. Figure 3 demonstrates differences in stature among 3–16 year-olds, comparing high and moderate myopes with a control group. Figure 4 shows that the body mass index in myopes is also higher than in non-myopes. Gardiner has not only shown that myopic children are taller than their non-myopic counterparts, but has presented both cross sectional (Gardiner 1954) and prospective (Gardiner 1964) evidence of an earlier age of menarche in female myopes. This evidence has been corroborated by two other large epidemiological studies (Douglas et al. 1967; Scholz 1970) showing that myopes were both taller and had an earlier age of menarche than non-myopes.
Gardiner (1964) suggested that accelerated growth patterns in myopes were linked to their refractive errors, and that diet may represent an underlying environmental factor common to both the development of myopia and generalized accelerated growth. In a number of studies, Gardiner (1956a, 1956b) indicated that myopes consumed significantly lower amounts of animal protein than non-myopes. Further, he was able to show that by increasing the level of animal protein in the diets of myopic children, the progression of their myopia slowed when compared to a control group receiving no dietary modification during a year long experiment (Gardiner 1958). Dietary protein generally results in lower rises in both plasma glucose and insulin when compared to carbohydrate (Brand Miller et al. 2000). Hence, it is possible that the increased animal protein levels in Gardiner's 1958 experiment may have attenuated postprandial and chronic insulin levels in his subjects, thereby reducing free IGF-1, elevating IGFBP-3 and enhancing RXR signaling which in turn slowed scleral axial growth and the progression of myopia. The benefits of reduced intake of carbohydrate and increased intake of animal protein on the progression of human myopia have also been reported elsewhere (Walkingshaw 1964).
Observations from Scandinavian studies (Fledelius 1983; Fledelius 1986; Fledelius et al. 1990) demonstrating increased incidence of myopia among type II adult diabetics compared to non-diabetics support the hormonal cascade linking insulin resistance to myopia. In the diabetic group, 37.9% of the subjects were myopic compared to 27.5% in the non-diabetic group (Fledelius 1983).
Although diseases of insulin resistance including type II diabetes have an important environmental aetiological component, they also have a crucial genetic basis (Neel et al. 1998; Barroso et al. 1999). Population studies have demonstrated that people of Asian and Chinese descent tend to be more insulin resistant than people of European descent (Beischer et al. 1991; King & Rewers 1993). The prevalence of myopia is also higher in Asian populations than it is in European populations (AuEong et al. 1993; McCarty et al. 1997); it is possible that the higher rates of myopia in Asian populations may, in part, be due to their increased genetic susceptibility to insulin resistance. Although some population studies have shown Asian groups to be shorter than people of European descent (Duignan et al. 1975; Chin et al. 1997), these data do not necessarily invalidate the presumed relationships between insulin resistance, myopia and height because of other known genetic determinants of adult stature, independent of insulin resistance, which vary between racial groups (Katzmarzyk & Leonard 1998). Hence, the comparison of stature between Asian myopes and non-myopes would represent a more logical and meaningful evaluation of the relationships between insulin resistance, adult stature and the development of myopia.
A number of human studies have shown that myopes have more dental caries than non-myopes (Goldstein et al. 1971; Hirsch & Levin 1973), and that the degree of myopia may be related to the caries incidence (Hirsch & Levin 1973). Recently, it has been shown that progressive myopes have higher amounts of dental caries than stable myopes (Edwards & Chan 1995). The mechanistic nature of this relationship remains obscure. However, as we now know that high glycaemic load carbohydrates, such as sucrose and refined cereal products made with sucrose, may induce hyperinsulinaemia, and that hyperinsulinaemia increases free IGF-1, lowers IGFBP-3 and reduces RXR signaling, we may suppose that the causal mechanism probably involves sucrose's well known cariogenic effect and its hyperinsulinaemic effect.High sucrose, low protein diets in both rabbits (Gardiner & MacDonald 1957) and rats (Bardiger & Stock 1972) have been shown to lower the degree of hypermetropia (i.e. produce refractive changes in a myopic direction); this had not proved possible with a sucrose free diet (Bardiger & Stock 1972). In summary, these studies suggest that high glycaemic load carbohydrate diets may induce permanent changes in the development and progression of refractive errors, particularly during periods of growth.