|
|
|
| March 2000, Volume 24, Number 3, Pages 345-353 |
| Table of contents Previous Article Next [PDF] |
 |
| Paper |
| Epidemic obesity: are genetic factors involved via increased rates of assortative mating? |
 |
| J Hebebrand, H Wulftange, T Goerg, A Ziegler, A Hinney, N Barth, H Mayer and H Remschmidt |
 |
Clinical Research Group, Department of Child and Adolescent Psychiatry of the Philips University of Marburg, Marburg, Germany
|
 |
Correspondence to: J Hebebrand, Clinical Research Group, Department of Child and Adolescent Psychiatry of the Philipps University of Marburg, Hans-Sachs-Str. 6, D-35033 Marburg, Germany. Hebebran@post.med.uni-marburg.de
|
 |
| Abstract |
 | OBJECTIVE: Prevalence rates of obesity have been increasing in several countries over the past two decades. Mainly secular changes in energy intake and expenditure have been invoked to underly the increasing rates; genetic factors have not been considered because of the very recency of this phenomenon. We hypothesize that genetic factors might very well be involved via an increased rate of assortative mating between obese individuals. We speculate that the recent upsurge in social stigmatization of obese individuals underlies the hypothesized increase in assortative mating. DESIGN: To accumulate evidence for our hypothesis we analysed deduced rates of assortative mating among parents of extremely obese children and adolescents, who belonged to two different large study groups (n=201 and n=270). For this purpose we calculated parental body mass indices (BMIs) based on (a) measured current heights and weights, (b) self-reported current heights and weights, and finally (c) measured current heights and recalled weights at ages 20 and 30, respectively. BMI centiles were determined which in turn were attributed to the respective BMI decile. Deduced rates of assortative mating were evaluated in bivariate histograms of the paternal and maternal BMI deciles. RESULTS: High rates of assortative mating were observed as deduced from the bivariate histograms, which revealed a fairly consistent pattern. Thus, in the first study group almost 35% of the parental pairs had a BMI in the tenth decile; over 50% of the mothers and fathers had a BMI in this top decile. Recalled parental BMIs at ages 20 and 30 also clustered in the upper decile. These results were basically replicated in the second study group. In addition, parental loading on the tenth decile was shown to be higher for the subgroup of children and adolescents who had a BMI equal to or exceeding the highest BMI of the population-based age and gender matched control group. CONCLUSIONS: Our results indicate that assortative mating is common among parents of extremely obese children and adolescents, ascertained between 1995 and 1997. In addition, the parental loading on the tenth decile is most prominent for the most obese children. Whereas we are unable to document an increased rate of assortative mating, we interpret our results as being consistent with the hypothesis that an increased rate of assortative mating has contributed to the recent rise in obesity rates in several countries. Thus, assortative mating warrants further studies to assess its impact on obesity prevalence rates through both genetic and non-genetic mechanisms. Our results suggest that assortative mating might especially increase the rates for extreme obesity. International Journal of Obesity (2000) 24, 345-353 |
 |
| Keywords |
 | body mass index; centiles; recalled weight; childhood obesity |
 |  |
Introduction
The recent rise in the prevalence of obesity is an issue of major concern for the health systems of several countries. In the USA the increase in the prevalence of all classes of obesity has been dated to the time period between the National Health and Nutrition Examination Surveys (NHANES) II and III which were conducted from 1976 to 1980 and from 1988 to 1994, respectively. Between these two surveys the prevalence of obesity increased by more than one-half rising from 14.5% to 22.5%. Similar trends have been observed in other countries in Europe, North and South America.1
Children and adolescents have not been exempt from this trend. Quite the contrary, the increase in obesity in children in the USA has been substantial. Thus, between the National Health Examination Survey (NHES, cycles II and III; 1963-1965 and 1966-1970) and NHANES III (1988-1991) overweight defined by the NHES 85th percentile of BMI increased by approximately 7% for 6-11 y olds and for 12-17 y olds. When overweight was defined by the NHES 95th percentile of BMI the increase was approximately 5% for 6-11 y olds and 6% for 12-17 y olds. These increments translate into relative increases of 40% using the 85th centile as a cutoff and 100% upon use of the 95th centile.2 In a cross-sectional study of German children and adolescents treated as inpatients for extreme obesity between 1985 and 1995 we reported a significant increase of the mean BMI of almost 2 kg/m2 over this 10 y period.3 Within this extreme group the increments were most pronounced in the uppermost BMI ranges. Thus, in males the absolute BMIs corresponding to the tenth decile of the study group rose from 32.7 kg/m2 in 1985 to almost 38 kg/m2 in 1995.
The mechanisms underlying this increase in the prevalence of obesity are unknown. Environmental factors have commonly been invoked as the underlying cause. Basically, both an increased energy intake and a reduced level of physical activity have been discussed.1 In England the increase in obesity rates has been attributed to the latter mechanism. Thus, in this country the average energy intake even decreased somewhat within the last two decades, whereas indirect evidence stemming from the increases in hours spent watching television and from the average number of cars per household points to reduced levels of physical activity as the relevant causative factor.4 However, all in all a methodologically sound delineation of environmental factors leading to increased rates of obesity has not been achieved.
Genetic factors have previously not been considered as a contributing cause. On the contrary, the fact that the increased rates of obesity have been observed within the last two decades has been viewed as evidence that genetic factors cannot be held responsible. Indeed, systematic changes of the population-based frequencies of specific alleles predisposing to obesity cannot possibly have occurred within this short time span. However, in the following we propose that an increase in the rate of assortative mating could very well constitute a genetic contribution to the observed phenomenon. Our hypothesis is based on evidence suggesting that stigmatization of obese individuals represents a rather recent social phenomenon, thus invariably leading to increased rates of assortative mating. As a consequence, the offspring have a higher loading with both additive and non-additive genetic factors underlying obesity.
To test this hypothesis reliably would have required continuous family data collected over the past 50 y within a well-defined segment of the population. Because we do not have epidemiological data of this type we looked at deduced rates of assortative mating among the parents of extremely obese German children and adolescents contacted between 1995 and 1997. We hypothesized that in a substantial proportion of families both parents are obese. Based on our hypothesis we expected that the respective parents were already both obese when they originally met. Finally, we expected to observe the highest rate of assortative mating among the parents of the most obese children.
|
 Materials and methods
An exact assessment of asortative mating for obesity would require knowledge of weight and height of both partners at the time they originally met. Evidently, this cannot be achieved reliably in a retrospective study based on the offspring of such matings. In the light of this obstacle we chose a strategy which we consider as sufficient for a crude assessment of assortative mating. For study group 1 parental BMIs of 201 (100 males) independently ascertained children and asolescents with extreme obesity were calculated from measured height and weight. BMIs at ages 20 and 30, which are subsequently referred to as recalled BMIs were estimated for both parents based on recalled weights at these ages as obtained with a semistructured interview and measured current height. All 201 children had presented for inpateint treatment of their extreme obesity at the Children's Hospital Hochried in Murnau, Bavaria. The respective children and both of their parents had participated in a family study between 1995 and 1997; molecular genetic results of this ongoing study have been reported.5,6,7,8,9 Index patients and both parents were ascertained to enable association studies and tests for linkage disequilibrium. As such, obesity in sibs was not a selection criterion. Parents were specifically interviewed as to their biological relationship to the index patient. Based on our molecular genetic results we conclude that non-paternity is infrequent (rate below 5%).
Because the BMI is dependent on age and gender, BMI centiles were determined for both current BMIs and recalled BMIs of mothers and fathers at ages 20 and 30. The centiles are based on the German National Nutrition Survey10,11 and have been used for assessment of BMI increments of extremely obese children and adolescents between 1985 and 1995, who were also treated at the Children's Hospital Hochried,3 weight outcome in anorexia nervosa12 and for evaluation of BMI of children and adolescents with specific psychopathological conditions.13,14 A specifically devised computer program is used to determine the respective centile on an individual basis. Absolute BMI values constituting specific centiles (including the 50th and 95th) at different ages have been delineated.11 For the purpose of this study the absolute BMIs corresponding to the 90th centile are illustrated in Table 1.
The relevant demographic data of both the 201 index patients and their parents are shown in Table 2. Sixty-four of the index patients had a BMI below the maximal BMI observed in the population based German National Nutrition Survey for the respective age in years and gender; 137 patients had a BMI equal to or in excess of these maximal BMIs. For the age range from 10 to 50 y this survey was based on approximately 175-200 males and females, respectively, for each age span in years.11
The current BMI centiles were calculated for all 201 mothers and fathers and attributed to the respective decile. However, only 153 parental pairs were interviewed as to their weights at ages 20 and 30. Because one or both of the parents were unable to recall their weights, centiles of only 133 and 132 parental pairs were available for the plots of deciles at ages 20 and 30, respectively. To crudely assess the extent of assortative mating, fathers' current BMI deciles and the BMI deciles at ages 20 and 30, respectively, based on recalled weights were plotted against the corresponding deciles of the mothers.
In order to attempt to replicate our results and to assess the effect of the extent of the obesity of the index patient we additionally referred to self-reported current body heights and weights of both parents of 270 (108 males) extremely obese children and adolescents subsequently referred to as study group 2. These parents had been asked to provide ages, weights, heights and gender of themselves and their offspring including the index patient prior to initiation of inpatient treatment at the Children's Hospital Hochried using a specifically devised questionnaire. Approximately 80% of the parents of consecutively admitted inpatients filled out this questionnaire. The index patients were subdivided into two subgroups a and b based on whether (n=142) or not (n=128) their BMI equalled or exceeded the maximal BMI observed in the population-based German National Nutrition Survey for the respective age in years and gender. The relevant anthropometric data for both subgroups are shown in Tables 3a and b.
|
 Results
Obesity was commonly observed in both parents of the index patients (Figures 1,2,3,4 and 5). This effect was independent of the study group and independent of whether current BMIs or past recalled BMIs were assessed. Thus, in both study groups parents who both had a BMI in excess of the 90th centile proved to be the most frequent subgroup based on the division according to BMI deciles. It is of interest to note that in 25 of the 201 (12.4%) parental pairs of the first study group both mother and father had BMIs equal to or exceeding the 99th centile based on the German National Nutrition survey. All in all, a total of 37 (18.4%) fathers and 39 (19.4%) mothers in the first study group had a BMI 99th centile.
In both study groups a very consistent pattern was observed for current BMIs in that in most families either father, mother or both parents had a BMI >90th centile (Figures 1, 4 and 5). Thus, in study group 1 a total of 110 fathers (54.7%) and 118 (58.7%) mothers had a BMI in the tenth decile (Figure 1). In 70 families (34.8%) both parents had a BMI corresponding to the tenth decile. In study group 2a (Figure 4), 69 (48.6%) and 58 (40.8%) of the 142 fathers and mothers had a BMI within the tenth decile. In 27 families (19.0%) both parents were within this decile.
Furthermore, it is noteworthy that stepwise increments of the observed frequencies are apparent as the tenth decile range of either parent is transversed (Figures 1,2,3 and 4). A deviation from this pattern was observed only for the parents of those children with a BMI below the 100th centile (study group 2b; Figure 5). Among these parents a clear clustering in the upper decile range was also evident. However, the marked loading on the tenth decile was less prominent. Thus, only 23.4% and 28.1% of the fathers and mothers, respectively, had a BMI corresponding to this decile. Both parents had a BMI within this decile in 13.3% of the families. In study group 2b (Figure 5) the higher frequencies in the lower decile ranges contrast to the almost complete absence of parental pairs in this same range for children of study group 2a (Figure 4).
Figures 2 and 3 reveal that the general pattern based on recalled BMIs at ages 20 and 30 is similar to that observed for current BMIs (Figure 1). The highest loading was observed for the subgroup formed by those parents who both recalled having had BMIs >90th centile at the respective ages. Furthermore, frequencies in the tenth decile of both genders clearly exceeded those of other deciles. In females a considerable loading was also apparent for the ninth decile. Amongst the mothers the occurence of BMIs in the first decile is noteworthy.
|
 Discussion
If within the past 20-25 years obese individuals have more frequently formed partnerships amongst each other than three or four decades ago, additive and non-additive genetic factors as well as non-genetic factors could imply a higher risk for the development of obesity in the respective offspring and as a consequence contribute to the observed recent increase of obesity rates in affluent societies. Furthermore, this effect would also have an impact on the degree of adiposity observed in the general population. Thus, based on quantitative genetic considerations offspring of two obese parents can be perceived as having a higher risk for severe obesity than offspring of non-obese parents or with only one obese parent.
As such it is conceivable that assortative mating in particular contributes to increased rates of severe obesity for which we have found indirect evidence in a cross-sectional study of obese children and adolescents who were treated at the Childrens' Hospital Hochried between 1985 and 1995,3 the same hospital from which the study groups analysed in this investigation stemmed. In this context it is worth mentioning that among US children and adolescents extreme obesity as defined by the 95th centile based on the NHES performed between 1963 and 1970 has nearly doubled in the past three decades, whereas the relative increase based on using the 85th centile as the cut-off has only amounted to 50%.2
It is important to realize that a postulated increase in assortative mating for obesity would imply increased rates and degrees of obesity not only via genetic factors. If both parents are obese, familial environmental effects favouring the development of obesity are also effective in the offspring. Nevertheless, in contrast to previous environmentally based hypotheses attempting to explain the increased rates of obesity in affluent countries we propose that genetic factors might very well have a contributing effect via increased rates of assortative mating. The fact that women who marry men of higher education are systematically leaner and women who marry men of lower education are both fatter and heavier15 suggests that assortative mating is a complex phenomenon encompassing aspects related to both body weight and socio-economic issues. Societal norms related to these and possibly other aspects are most likely to have an impact on assortative mating, especially for those individuals with an extremely high body weight.
Our hypothesis cannot be proven by the results obtained within this study, because we are unable to document an increased rate of assortative mating over the past two to four decades nor its effect on obesity rates. However, our data are fully compatible with the hypothesis in that, in two independent study groups, we show that parents of extremely obese children ascertained recently (between 1995 and 1997) are frequently both obese and that¾despite the caveat that we do not precisely know at what ages the respective parents met and what their BMIs were at that time¾obesity in both parents was also common within the age range that the mothers and fathers were likely to have met each other. Our data indicate that, as hypothesized, the (deduced) rate of assortative mating is higher in those parents of children with an extreme form of obesity than in parents of children with less extreme obesity (Figures 4 and 5).
Assortative mating for relative weight has been demonstrated previously.16 A small but nevertheless significant intermate correlation of approximately 0.1-0.25 is a consistent finding in those studies that have assessed relative weight. Even prior to marriage, mates have been shown to be correlated for relative weight after adjustments for age.16 However, this and similar studies specifically aimed to assess Pearson correlations in mates of different weight classes. In the present study we have attempted to deduce rates of assortative mating in parents of extremely obese children. We believe that the magnitude of assortative mating in parents of obese children is better assessed by defining thresholds and quantifying the proportion of matings in which both partners are above or below the respective threshold. Thus, in statistical terms the use of biserial correlations would appear more adequate. We argue that our hypothesis of a recent increase in assortative mating is especially relevant when offspring whose BMIs contribute to the extreme right side of the BMI distribution are assessed.
Unfortunately we do not have anthropometric data on parents of extremely obese children ascertained in past decades. We expect that assortative mating would not have been as common as indicated by the data analysed within this study. It should again be noted that the very extreme forms of obesity in particular have apparently increased in children and adolescents,3 thus perhaps virtually precluding a comparison based on age and gender matched BMIs of obese children. It would presumably have been very difficult to identify an equally large study group of children and adolescents matched for BMI 20 or more y ago.
A comparison of our data with former studies is rendered difficult by several aspects. For one, both BMI and BMI centiles were not used in older studies or reviews. 18,19,20,21,22,23,24,25,26 Definitions of overweight and obesity were not always clearly delineated in the index patients and their relatives; the proportion of the general population that fulfilled the respective criteria was unknown or not reported. Assessments of weights of relatives were partially based on the family history method. In addition, data sets specifically applying to (extremely) obese children are rare. Delineation of assortative mating is also not satisfactorily addressed in some of these studies. In their 1934 study of 50 obese children Ellis and Tallermann20 found 'one or more members of the immediate family affected in 30 out of the 50 cases. Of the parents, the mother, but not the father, was grossly overweight in 13 instances, the father, but not the mother, in 6, and both parents in 3'. Iversen in 195324 reported obesity in one or both parents of 31 children out of the total sample of 50 who were between 10% and 103% overweight. Obesity was present in both parents of 13 out of the 50 children. In more recent family studies rates of assortative mating are not delineated.27,28 In a large four generation Utah pedigree ascertained for a high loading with morbid obesity a clear trend for increasing rates of assortative mating from the early to late generations was described.29 In conclusion, the difficulties encountered upon our attempt to compare our results with past studies were insurmountable; only a precise delineation of the relevant data (Tables 1, 2, 3) will enable such valuable comparisons. Ideally, comparisons required to assess temporal changes in rates of assortative mating for obesity should be made within the same country.
An aspect that had already been documented early on deserves notice: matings between 'stout and stout' considerably more often resulted in stout offspring than those between 'stout and average' or 'average and average' matings.21,23,26 We were unable to find data showing that the obese children of two obese parents on average have a higher degree of adiposity than those obese children with only one obese parent. However, we assume that data of this kind have been compiled.
The recent increase of stigmatization of obese individuals in Western societies would appear to be the driving force behind the postulated increase in rates for assortative mating. In Germany data show that stigmatization increased considerably between 1971 and 1979; the negative ratings of obese individuals persisted in 1989.30 In dominant American society, overweight and obesity are viewed as obvious symbols of an individual's moral failings in self-control. Discrimination is widespread, with 'fat-ism' being a socially tolerated prejudice of the 1990s, much as racism was prior to civil rights movement of the 1960s.'31 Back in 1931 Dunlop and Lyon18 refer to the then 'popular conception of the stout person as an individual of an easy-going, equable disposition'. However, the 'pressure of modern fashion, which sends so many stout women to the physician' was already referred to by Gurney in 1936.21 These references have a mere anecdotal character; they cannot address the question of whether rates of assortative mating have been influenced by changing societal norms over the past decades. We are unaware of data of this kind.
Several minor issues pertaining to our study warrant attention. Assortative mating for obesity should ideally be assessed at the time partnerships evolve. Our study relies on current BMIs and recalled BMIs, which were assessed with population-based centiles. On an individual basis the BMI at age 20 fairly well predicts the BMI at age 40 and 50,32 so that it is safe to assume that many of the obese parents assessed in our study were indeed already obese at age 20. This is substantiated by the recalled BMIs at ages 20 and 30 (Figures 2 and 3). Recalled weights at ages 20 and 30 have been shown to be quite reliable.33 It is interesting to note that at age 20 a subgroup of fathers and mothers both reported a BMI below the 50th centile. Possibly, especially among this subgroup, the respective weights were recalled wrongly. On the other hand it cannot be excluded that genetic and non-genetic factors in parental pairs with adult onset obesity lead to an earlier onset in their offspring.
We referred to population-based BMI-centiles to assess deduced rates of assortative mating and to subgroup the severity of adiposity in study group 2. As such it is important to briefly review relevant aspects of the German National Nutrition Survey. It was based on 24,632 individuals living in 11,141 independent households who were contacted between 1985 and 1989. The survey was representative for social status, rural vs urban residency, and season of the year. Participants self-reported their weights and heights.12 In the present investigation we analysed both measured (study group 1) and self-reported data (study group 2) based on index patients who were ascertained between 1995 and 1997. Despite potential problems inherent to basing a study on population-based controls we argue that the patterns observed in the bivariate histograms (Figures 1,2,3,4 and 5) are so clear cut that distortions due to methodological problems are most likely of a quantitative and not of a qualitative nature. Thus, to illustrate this point it seems quite plausible to assume that the higher rates of loading on the tenth BMI decile in study group 1 as compared to study group 2 reflect reliance on measured vs self-reported anthropometric data of the assessed parents. Nevertheless, the deduced trend towards assortative mating as a major contributing factor to the obesity observed in the extremely obese children and adolescents is readily apparent in both study groups.
Because most segregation studies have provided evidence for a major recessive gene effect,34,35 it is of interest to note that in our extremely obese study groups obesity in at least one of the two parents is present in most families, as illustrated by the strong loading on the tenth deciles (Figures 1 and 4). In our opinion, this parental loading renders dominant effects likely for extreme obesity; however, recesive effects could very well also apply. Recently, an assumed dominantly inherited form of obesity has been elucidated at the molecular level.7,36,37 Thus, mutations in the melanocortin-4 receptor gene leading to haplo-insufficiency were found to occur with a frequency of about one percent among extremely obese children and adolescents.7
We conclude by stressing the importance of addressing a temporal increase of assortative mating as a possible contributing cause to the recent rise in obesity rates. It seems possible that this aspect can be investigated based on family data sets collected within a specific population over the past 30-40 y. We assume that assortative mating is especially relevant in explaining the increases of extreme forms of obesity. In studies related to the phenomenon of secular trends in assortative mating it is of utmost importance that the relevant anthropometric data are presented in a manner readily allowing comparisons.
|
 |
| References |
 |
1 Taubes G. Demographics¾as obesity rates rise, experts struggle to explain why. Science 1998; 280: 1367-1368. MEDLINE
2 Troiano RP, Flegal KM, Kuczmarski RJ, Campbell SM, Johnson CL. Overweight prevalence and trends for children and adolescents: the National Health and Nutrition Examination Surveys, 1963 to 1991. Arch Pediatr Med 1995; 149: 1085-1091.
3 Barth N, Ziegler A, Himmelmann GW, Coners H, Wabitsch M, Hennighausen K, Mayer H, Remschmidt H, Schäfer H, Hebebrand J. Significant weight gains in a clinical sample of obese children and adolescents between. 1985 and 1995; Int J Obes 1997; 21: 122-126.
4 Prentice AM, Jebb SA. Obesity in Britain: Gluttony or sloth? Br Med J 1995; 311: 437-439.
5 Hinney A, Barth N, Ziegler A, von Prittwitz S, Hamann A, Hennighausen K, Lentes K-U, Heils A, Rosenkranz K, Roth H, Coners H, Mayer H, Herzog W, Siegfried A, Lehmkuhl G, Poustka F, Schmidt MH, Schäfer H, Grzeschik K-H, Pirke KM, Lesch KP, Remschmidt H, Hebebrand J. Serotonin transporter gene-linked polymorphic region: allele distributions in relationship to body weight and in anorexia nervosa. Life Sci 1997; 61:PL: 295-303.
6 Hinney A, Becker I, Heibult O, Nottebom K, Schmidt A, Ziegler A, Mayer H, Siegfried W, Blum WF, Remschmidt H, Hebebrand J. Systematic mutation screening of the pro-opiomelanocortin gene: Identification of several genetic variants including three different insertions, one nonsense and two missense point mutations in probands of different weight extremes. J Clin Endocrinol Metab 1998; 83: 3737-3741. MEDLINE
7 Hinney A, Schmidt K, Nottebom O, Heibült I, Becker A, Ziegler G, Gerber M, Sina T, Görg H, Mayer W, Siegfried M, Fichter H, Remschmidt J, Hebebrand. Several mutations in the melanocortin-4 receptor gene including a nonsense and a frameshift mutation associated with dominantly inherited obesity in humans. J Clin Encocrinol Metab 1999; 84: 1483-1486.
8 Rosenkranz K, Hinney A, Ziegler A, von Prittwitz S, Barth N, Roth H, Mayer H, Siegfried W, Lehmkuhl G, Poustka F, Schmidt M, Schäfer H, Remschmidt H. Screening for mutations in the neuropeptide Y Y5 receptor gene in cohorts belonging to different weight extremes. Int J Obes 1998; 22: 157-163.
9 Roth H, Korn T, Rosenkranz K, Hinney A, Ziegler A, Kunz J, Siegfried W, Mayer H, Hebebrand J, Grzeschik K-H. Transmission disequilibrium and sequence variants at the leptin receptor gene in extremely obese German children and adolescents. Hum Genet 1998; 103: 540-546. Article MEDLINE
10 Hebebrand J, Heseker H, Himmelmann GW, Schäfer H, Remschmidt H. Altersperzentilen für den Body Mass Index aus Daten der Nationalen Verzehrsstudie einschlie lich einer Übersicht zu relevanten Einflu faktoren. Aktuelle Ernährungsmedizin 1994; 19: 259-265.
11 Hebebrand J, Himmelmann GW, Heseker H, Schäfer H, Remschmidt H. Use of percentiles for the body mass index in anorexia nervosa: Diagnostic, epidemiological, and therapeutic considerations. Int J Eat Disord 1996; 19: 359-369. MEDLINE
12 Hebebrand J, Himmelmann GW, Herzog W, Herpertz-Dahlmann BM, Steinhausen HC, Amstein M, Seidel R, Deter HC, Remschmidt H, Schäfer H. Prediction of low body weight at long-term follow-up in acute anorexia nervosa by low body weight at referral. Am J Psychiat 1997; 154: 566-569. MEDLINE
13 Hebebrand J, Henninghausen K, Nau S, Himmelmann GW, Schulz E, Schäfer H, Remschmidt H. Low body weight in male children and adolescents with schizoid personality disorders or Asperger's disorders. Acta Psychat Scand 1997; 96: 64-67,
14 Hennighausen K, Rischmüller B, Heseker H, Remschmidt H, Hebebrand J. Low body mass indices in adolescents with obsessive compulsive disorder. Acta Psychiatr Scand 1999; 99: 267-273. MEDLINE
15 Garn SM, Sullivan TV, Hawthorne VM. Educational level, fatness, and fatness differences between husbands and wives. Am J Clin Nutr 1989; 50: 740-745. MEDLINE
16 Allison DB, Nealoe MC, Kezis MI, Alfonso VC, Heshka S, Heymsfield SB. Assortative mating for relative weight: genetic implications. Behav Genet 1996; 26: 103-111. MEDLINE
17 Maes HH, Neale MC, Eaves LJ. Genetic and environmental factors in relative body weight and human adiposity. Behav. Genet. 1997; 27: 325-351. MEDLINE
18 Dunlop DM, Lyon RM. Study of 523 cases of obesity. Edinburgh Med J 1931; 38: 561-577.
19 Fellows HH. Studies of relatively normal obese individuals during and after dietary restrictions. Am J Med Sci 1931; 181: 301-312.
20 Ellis RWB, Tallerman KH. Obesity in childhood. Lancet 1934; 615-620.
21 Gurney R. he hereditary factor in obesity. Arch Intern Med 1936; 57: 557-561.
22 Bauer J. Constitution and disease. Applied constitutional pathology, 2nd edn. Grune & Stratton: New York,, 1947. ,
23 Angel JL. Constitution in female obesity. Am J Phys Anthropolo 1949; 7: 433-471.
24 Iversen T. Psychogenic obesity in Children. I. Acta Psychiat Scand 1953; 42: 8-19.
25 Mayer J. Genetic factors in obesity. Bull NY Acad Med 1960; 36: 322-343.
26 Withers RFJ. Problems in the genetics of human obesity. Eugen Rev 1964; 56: 81-90. MEDLINE
27 Adams TD, Hunt St, Mason LA, Ramirez ME, Fisher AG, Williams RR. Familial aggregation of morbid obesity. Obes Res 1993; 1: 261-270.
28 Laskarzewski PM, Khoury P, Morrison JA, Kelly K, Mellies MJ, Glueck CJ. Familial obesity and leanness. Int J Obes 1983; 7: 505-527. MEDLINE
29 Hunt SC, Williams RR, Adams TD. Biochemical and anthropometric characterization of morbid obesity in a large Utah pedigree. Obes Res 1995; 3: 165s-172s. MEDLINE
30 Westenhöfer J, Pudel V. Einstellungen der deutschen Bevölkerung zum Essen. Ernährungsumschau 1990; 37: 311-316.
31 Brown PJ, Bentley-Condit VK. Culture, evolution, and obesity. In Bray GA, Bouchard C, James WPT (eds). Handbook of obesity. Marcel Dekker; New York, 1998. ,
32 Casey VA, Dwyer JT, Coleman KA, Valadian I. Body mass index from childhood to middle age: a 50-y follow-up. Am J Clin Nutr 1992; 56: 8-14.
33 Casey VA, Dwyer JT, Berkey CS, Coleman KA, Gardner J, Valadian I. Long-term memory of body weight and past weight satisfaction: a longitudinal follow-up study. Am J Clin Nutr 1991; 53: 1493-1498. , MEDLINE
34 Bouchard C, Pérusse L. The genetics of human obesity. In Bray GA, Bouchard C, James WPT (eds). Handbook of obesity. Marcel Dekker: New York, 1998. ,
35 Ziegler A, Hebebrand J. Sample size calculations for linkage analysis using extreme sib pairs based on segregation analysis with the quantitative phenotype body weight as an example. Genet Epidemiol 1998; 15: 577-593. MEDLINE
36 Vaisse C, Clement K, Guygrand B, Froguel P. A frameshift mutation in human MC4R is associated with a dominant form of obesity. Nature Genet 1998; 20: 113-114. Article MEDLINE
37 Yeo GSH, Farooqi IS, Aminian S, Halsall DJ, Stanhope RC, Orahilly S. A frameshift mutation in MC4R associated with dominantly inherited human obesity. Nature Genet 1998; 20: 111-112. Article MEDLINE
|
 |
| Figures |
 |
Figure 1 Bivariate histogram of population-based BMI deciles of mothers and fathers of 201 children with extreme obesity (study group 1). Current heights and weights of the parents were measured to calculate BMIs and to determine BMI centiles. |
Figure 2 Bivariate histogram of population-based BMI deciles of mothers and fathers of 133 children with extreme obesity based on recalled weights at age 20 and measured current heights. |
Figure 3 Bivariate histogram of population-based BMI deciles of mothers and fathers of 132 children with extreme obesity based on recalled weights at age 30 and measured current heights. |
Figure 4 Bivariate histogram of population-based BMI deciles of mothers and fathers of 142 children with extreme obesity as defined by a BMI equal to or in excess of the maximal BMI of age and gender matched population controls. BMIs were calculated from self-reported current heights and weights to determine the corresponding BMI centiles. |
Figure 5 Bivariate histogram of population-based BMI deciles of mothers and fathers of 128 children with extreme obesity. The children had a BMI below the maximal BMI of age and gender matched population controls. BMIs were calculated from self-reported current heights and weights to determine the corresponding BMI centiles. |
 |
| Tables |
 |
Table 1 Absolute body mass index values (kg/m2) corresponding to the 90th centile in the German population as assessed with the German National Nutrition Survey11 |
Table 2 Descriptive anthropometric data of index patients of study group 1 and their parents |
Table 3 Descriptive anthropometric data of index patients and their parents of study group 2a (Figure 4) and 2b (Figure 5). The index patients all had a BMI equal to or above the maximal BMI observed in population based controls matched for age and gender (11) |
 |
 |
 |
| Received 12 March 1999; revised 12 August 1999; accepted 11 October 1999 |
 |
| March 2000, Volume 24, Number 3, Pages 345-353 |
 |
| Table of contents Previous Article Next [PDF] |
|
|