Obesity is defined as the accumulation of excess body fat that adversely affects health( Reference Kopelman 1 ), and is one of the most important diseases affecting human subjects worldwide. Current estimates reveal that approximately 25 % of men and women in the UK are obese (BMI ≥ 30 kg/m2), and this suggests a threefold increase in prevalence since 1980( Reference Rennie and Jebb 2 ). Obese human subjects are at a greater risk of developing a number of diseases such as type 2 diabetes mellitus, hypertension, CHD, certain cancers (e.g. breast, ovarian and prostate), osteoarthritis, respiratory disease and reproductive disorders( Reference Kopelman 1 ). A number of longitudinal studies have identified adolescent obesity as a major risk factor for obesity in adulthood( Reference Guo and Chumlie 3 – Reference Ogden, Carroll and Curtin 9 ). The risk factors for childhood and adolescent overweight (OW) are less clear, with various factors implicated, for example sex, birth weight, parent weight status, physical activity in childhood, television viewing in childhood, socio-economic status and education level( Reference Parsons, Power and Logan 4 – Reference Kvaavik, Klepp and Tell 6 , Reference Reilly, Armstrong and Dorosty 8 , Reference Whitaker, Wright and Pepe 10 – Reference Sjöberg, Moraeus and Yngve 12 ). Both heavy birth weight and rapid growth during infancy have also been identified as risk factors for obesity in adulthood( Reference Parsons, Power and Logan 4 , Reference Reilly, Armstrong and Dorosty 8 , Reference Baird, Fisher and Lucas 13 ), but results are inconsistent regarding nutritional factors and dietary intake( Reference Reilly, Armstrong and Dorosty 8 ), in part related to the fact that accurate data are difficult to obtain in longitudinal studies.
Problems with excess body weight (BW) are also a growing concern in many domesticated animal species including cats, and are known to lead to a range of medical disorders( Reference Scarlett and Donoghue 14 – Reference German 16 ). Recent studies have suggested that 20–52 % of cats in the Westernised world are OW or obese( Reference Lund, Armstrong and Kirk 15 , Reference Colliard, Paragon and Lemuet 17 – Reference Cave, Allan and Schokkenbroek 19 ). Several cross-sectional studies have assessed the factors predisposing cats to becoming OW, and the factors associated with OW status include: neuter status( Reference Lund, Armstrong and Kirk 15 , Reference Courcier, O'Higgins and Mellor 18 , Reference Sloth 20 – Reference Russell, Sabin and Holt 23 ), middle age( Reference Lund, Armstrong and Kirk 15 , Reference Colliard, Paragon and Lemuet 17 , Reference Sloth 20 , Reference Scarlett, Donoghue and Saidla 21 , Reference Russell, Sabin and Holt 23 ), underestimation of the body condition score (BCS) by the owner( Reference Colliard, Paragon and Lemuet 17 , Reference Allan, Pfeiffer and Jones 24 ), not living with dogs in the household( Reference Allan, Pfeiffer and Jones 24 ), mixed breed rather than pure breed( Reference Scarlett, Donoghue and Saidla 21 , Reference Robertson 22 ), multi-cat households( Reference Robertson 22 ) and longer day length( Reference Allan, Pfeiffer and Jones 24 ). However, dietary factors (including feeding frequency, feeding of premium foods (i.e. superior palatability, digestibility, and ingredient quality) and the use of treats) are less consistent with some( Reference Lund, Armstrong and Kirk 15 , Reference Courcier, O'Higgins and Mellor 18 , Reference Robertson 22 – Reference Allan, Pfeiffer and Jones 24 ), but not all( Reference Cave, Allan and Schokkenbroek 19 ), studies suggesting associations. Unfortunately, evidence from longitudinal studies is lacking regarding risk factors for excess weight in cats and the influence of early life factors. Since cats are an outbred species, live in the same environment as human subjects, and share some of the same disease risks, comparative information on cats can also be of interest for understanding human obesity. Further, studies are arguably easier to conduct since lifespan is shorter.
The aims of the current study were, firstly, to identify risk factors for the development of excess weight in cats in late adulthood, by assessing a variety of signalment factors and early life factors. The work described is an observational study, in a colony of cats owned by a commercial pet food company, designed to assess the effects of various factors on food intake (FI) and the likelihood of cats fed dry diets ad libitum becoming OW.
Experimental methods
Animals
A total of eighty cats were included in the study, representing fourteen different breeds, with thirty-six males (thirty-four neutered) and forty-four females (twenty-four neutered). Median age, at the study end, was 7·6 years (range 1·5–10·6 years). Of these cats, thirty-six were determined to be OW (OW group; BCS > 5/9), while the remaining forty-four were in ideal body condition (ideal weight (IW) group; BCS = 5/9). In all cats, BCS was ideal (e.g. 5/9)( Reference Laflamme 25 ) at 12 months of age.
Of these eighty cats, a subset of forty-two cats was identified where continuous BW data were available from 1 to 8·5 years, and FI data from 3·5 to 8·5 years. The distribution of all variables, for this subgroup, was approximately the same as for the eighty cats (Table 1) except for the breed whereby more pedigree cats were present in the forty-two-cat group subset than in the population as a whole (P = 0·036). Of the forty-two-cat subgroup, monthly BW data were also available from 3 months of age in sixteen of the cats. Again, the distribution of variables was broadly similar to the population of eighty cats (Table 1).
Table 1. Summary data for the eighty cats and their comparison with the forty-two- and sixteen-cat subgroups
(Number and percentage; median values and ranges for age, food intake and body weight at 1 year of age)
BCS, body condition score; OW, overweight.
* Body weight data available from 12 months and food intake data available from 3·5 years to the end of the study.
† Body weight data available from 3 months to the end of the study. The P-values quoted are for a comparison of the proportions of cats in each population, for each variable listed, made using a Fisher's exact test.
Housing and husbandry
All cats were maintained in the colony of a commercial pet food company, and were not client-owned. Housing and treatment protocols adhered to European regulatory rules for animal welfare; all experimental protocols complied with the European Union guidelines on animal welfare and were approved by the Royal Canin committee for animal ethics and welfare. Cats were housed in closed indoor–outdoor runs; sixty-two of the cats had unlimited outdoor access, while the remaining eighteen were housed exclusively indoors (Table 1). The size of all runs was 27 m2, and there were a maximum of eight cats per run, and the cat groups remained the same throughout the study. The runs with outdoor access were divided into an indoor part (of 13 m2) and an outdoor part (of 14 m2). Inside, the temperature varied between 18 and 24°C, depending on season, and artificial light was provided between 07.30 and 17.00 hours if natural light was judged to be insufficient by animal handlers. For all cats, caregivers stimulated play behaviour for approximately 2 h per run per day. All cats remained healthy for the duration of the studies.
This population of eighty cats was used in feeding performance studies during the period of the study (June 2001 to December 2009). For 85 % of the time, the whole group of cats was fed the same basal diet ad libitum (Table 2). For the remaining 15 % of the time, the whole group was offered two dry expanded balanced diets ad libitum. Although the group was always fed the same regimen, the diets themselves would be changed on a daily basis and each cat had access to its own food station by microchip recognition. Despite the use of a range of diets, there was little variation in composition and metabolisable energy content over time (Table 3). From December 2004 onwards, individual FI was recorded daily using electronic weigh scales (M-Tronic Paris; accurate to within 0·5 g), and the mean FI (in g) was then automatically calculated. BW was also recorded, on a monthly basis, using the same calibrated electronic weigh scale (SG16000; Mettler Toledo; accurate to within 1 g). In addition, BCS was also scored monthly, although only the data for 1 year of age and the end of the study are described here. The BCS assignments were made group-consensus: the same six individuals scored the cats independently and then compared scores. When there was a discrepancy, the lead author (S. S.) made the final decision.
Table 2. Dietary composition of the basal diet used for the study cats
ME, metabolisable energy measured in animal trials according to the 2010 American Association of Feed Control Officials (AAFCO) protocols( 26 ).
Table 3. Dietary composition of the 15 % remaining diets used in palatability trials in the study cats
(Median values and ranges)
ME, metabolisable energy measured in animal trials according to the 2010 American Association of Feed Control Officials (AAFCO) protocols( 26 ).
Statistical analysis
All data were analysed using the Statistical Analysis Systems Institute package (SAS version 8; SAS Institute Inc.), and Tanagra version 1.4.38 (Tanagra project; http://eric.univ-lyon2.fr/~ricco/tanagra/en/tanagra.html). Significance was set at 5 % (P < 0·05) for two-sided analyses. Exact P values are reported throughout, except for the partial least squares discriminant analysis (mentioned later), because the software (Tanagra) did not display them. Except where indicated, results are expressed either as median (range) or as least-square means (sem).
Data from the entire population of eighty cats were first used to identify risk factors associated with being OW (i.e. being in the OW group). The factors tested included age (young adult, <7·6 years (median population age) v. mature adult, >7·6 years), sex, neuter status, pedigree status (pedigree v. mixed), housing status (indoor with outdoor access v. exclusively indoor), and body weight at 1 year of age (BW1y; BCS was 5/9 in all cats at this age). The mean daily FI (in g/d, and g/kg current weight/d) was also assessed, in all cats, over a 12-month period in 2009 (i.e. the last year of the study). Given that both binary and continuous variables were included, partial least squares discriminant analysis was performed. The Hosmer Lemeshow test was used to judge whether data fitted the statistical model well (i.e. goodness-of-fit). Results are expressed as variable importance in projection (VIP), with values greater than 1 considered to be important (at a significance level of P < 0·05)( Reference Chevallier, Bertrand and Kohler 27 ).
Next, data from the forty-two-cat subgroup were used to compare changes in BW and FI between cats that were OW or cats that were in ideal body condition at 8·5 years of age. BW data were assessed from 1 to 8·5 years of age, while FI data were assessed between 3·5 and 8·5 years of age. Tests performed included one-way ANOVA and the mixed procedure of SAS. For the latter analyses, group (OW or IW) and age were included as fixed effects, while cat was defined as a random term taking into account that several measurements were performed on the same cat. In some models, either the BW1y, or the BW corresponding to each FI measurement, was included as a covariate in the analysis.
Finally, the sixteen-cat subgroup was used to examine the change in weight during the growth period between cats that were OW or cats that were in ideal body condition at 8·5 years. Tests performed again included one-way ANOVA and the mixed procedure of SAS (SAS Institute, Inc.). In this analysis, BW at 3 months of age was included as a covariate.
Results
Assessment of risk factors for being overweight in eighty colony cats fed ad libitum
Risk factors for being OW were examined, in a cross-sectional manner, in a population of eighty cats (Table 4): BW1y (OW group: median 3·95 kg (2·22–6·50 kg); IW group: median 3·02 kg (1·76–5·46 kg); VIP 1·71, P < 0·05) was the main factor found to be of significance; the only other effect noted was sexual status, but this was at the limit of significance (intact v. neutered, VIP 1·01, P < 0·05). At this stage, median BCS was 7 (6–9) and 5 (5–5) in OW and IW groups, respectively. As a result, changes in BW and FI, and their effect on subsequent weight status, were examined in a subgroup of forty-two cats with available data.
Table 4. Risk factors for overweight in a population of eighty colony cats*
* Partial least squares discriminant analysis was performed to assess the effect of binary and continuous variables on the risk of being overweight. The Hosmer Lemeshow test was used to judge the goodness of fit, and results are expressed as variable importance in projection (VIP), with values greater than 1 considered to be important (at a significance level of P < 0·05). Food intake data are expressed as g of food per kg of the current body weight during the 12-month measurement period in 2009.
Longitudinal study of risk factors for becoming overweight, from 1 to 8·5 years of age, in forty-two colony cats
When changes in BW were assessed, between 1 and 8·5 years of age, both age and group effects were noted. With regard to age, BW increased steadily as cats got older (P < 0·001; Fig. 1). With regard to group, BW was greater in the OW group (P < 0·001; Fig. 1) such that at 8·5 years of age, the BW of those in the OW group (median 4·88 kg (3·56–10·10 kg)) was greater than those in the IW group (median 3·50 kg (2·34–4·59 kg); P < 0·001). At this stage, the median BCS in the OW group was 7 (6–9). The group difference in BW was present at each time-point, and was also present at 1 year of age when the BCS of all cats was ideal (5/9). Further analysis also revealed a group–age interaction, with BW increasing progressively more in the OW group than in the IW group (P < 0·001). In this respect, the median difference in BW between 2·5 and 8·5 years of age was 22 % (range 2–62 %) in OW cats and 2 % (range −17 to 24 %) in IW cats.
Fig. 1. Body weight assessed, in forty-two colony cats between 1 and 8·5 years of age. Values represent least squares means, while error bars represent sem. The open and filled symbols represent data for cats that were overweight and of ideal weight at 8·5 years of age, respectively. The letters identify significant differences compared with body weight at 1 year of age in the same group (a: P < 0·01; b: P < 0·001) or differences between cat groups (z: P < 0·001). A group–age interaction (P < 0·001) was also identified, whereby body weight increased progressively more in the overweight group than in the ideal weight group.
Given that the differences in BW were already present at 1 year of age, the analysis was repeated with BW1y included as a covariate. With this analysis, the overall group effect disappeared (P = 0·17), but the group–age interaction remained (P < 0·001): again there was no significant change in weight of cats in the IW group, while the weight of cats in the OW group progressively increased, becoming significantly different from the BW at 1 year of age from 4 years of age onwards (P < 0·05).
Next, FI was assessed in the forty-two cats, for a period of at least 5 years, between 3·5 and 8·5 years of age. As with BW, FI at 8·5 years of age in the OW group was greater than that in the IW group (OW v. IW: 60·7 (sem 2·6) g/d v. 50·3 (sem 2·2) g/d; P < 0·001). Although the group effect was evident at each time point (P = 0·002), no age–group interaction was evident for FI (P = 0·75). Further, when BW1y was included as a covariate in the model, the overall group effect disappeared (OW v. IW: 56·1 (sem 2·2) g/d v. 53·4 (sem 1·8) g/d; P = 0·37). The group effect also disappeared when the BW corresponding to each FI measurement was included as a covariate in the analysis (OW v. IW: 55·9 (sem 2·2) g/d v. 53·4 (sem 1·8) g/d; P = 0·41).
Longitudinal study of risk factors for becoming overweight, from 3 months to 8·5 years of age, in sixteen colony cats
Given that differences in both BW and FI during adult life were related to BW1y, we were interested in identifying whether such associations were evident at an even younger age. Therefore, a subgroup of sixteen cats (eight OW and eight IW) was selected, where BW had been recorded from 3 months of age, thus enabling weight change during growth to be studied. In this subset, the same effect on BW was evident as for the forty-two-cat subset: at 8·5 years of age, the BW of cats in the OW group was greater than that of cats in the IW group (OW v. IW: 6·61 (sem 0·39) kg v. 3·38 (sem 0·39) kg; P < 0·001; Fig. 2), but this group effect disappeared when BW1y was included as a covariate in the model (P = 0·80). As before, a group–age interaction was evident in the initial model, with weight increasing progressively in the OW group but not in the IW group (P < 0·001; Fig. 2), and this effect remained when BW1y was included as a covariate (P < 0·001).
Fig. 2. Body weight assessed in sixteen colony cats monitored from 3 months to 8·5 years of age. Values represent least squares means, while error bars represent sd. The open and filled symbols represent data for cats that were overweight and of ideal weight at 8·5 years of age, respectively. The letters identify significant differences compared with body weight at 3 months of age in the same group (a: P < 0·05; b: P < 0·001) or differences between cat groups (x: P < 0·05; y: P < 0·01; z: P < 0·001). Both age (body weight significantly greater in older cats) and group (body weight significantly greater in overweight cats) effects were identified.
At 3 months of age, no difference in BW was observed between the two groups (P = 1·0). When BW at 3 months of age was included as a covariate in a model of BW change from 3 to 12 months of age, it remained as a significant effect (P = 0·003). However, both a significant group effect (P = 0·002) and age–group interaction were evident, with BW increasing more in cats of the OW group than in cats in the IW group (P < 0·001). This was confirmed by the finding that the percentage change in weight from 3 to 12 months was greater in the OW group (median 117·2 % (range 67·6–182·6 %)) compared with the IW group (median 59·6 % (range 18·7–120·3 %); P = 0·008).
In light of these findings, partial least squares discriminant analysis was then used to determine the factors associated with being OW at 8·5 years, this time including percentage change in weight between 3 and 12 months, instead of BW1y. The factors that had a significant effect in the model were sex (VIP 1·56; P < 0·05), and BW change between 3 and 12 months of age (VIP 1·12; P < 0·05; Table 5).
Table 5. Risk factors for overweight at 8·5 years in sixteen cats followed from 3 months of age*
VIP, variable importance in projection.
* Partial least squares discriminant analysis was performed to assess the effect of binary and continuous variables on the risk of being overweight. The Hosmer Lemeshow test was used to judge goodness of fit, and results are expressed as VIP, with values greater than 1 considered to be important (at a significance level of P<0·05). Food intake data are expressed as g of food per kg of the current body weight during the 12-month measurement period in 2009. Age was not included as a factor in the above analysis because all cats were approximately the same age.
Discussion
The work reported here is the first longitudinal study to assess risk factors for becoming OW in domesticated cats. Only a small population was studied, but the fact that the population was followed for almost 8 years is a real strength. Although not the complete lifespan, this period is sufficient to identify the majority of OW cats, in that most cats that are OW have become OW by middle age, and prevalence of obesity is less in older cats( Reference Lund, Armstrong and Kirk 15 ). The key finding was that, within the population studied, two phenotypes of cats were identified: cats with the ‘IW’ phenotype regulated their FI and BW throughout life despite ad libitum access to food; cats with the ‘OW’ phenotype were already heavier at 12 months of age, and continued to gain weight progressively thereafter. Although many factors are undoubtedly involved, BW at 12 months of age was a key factor independent of breed, sex and neuter status. In a subset of the cats, we were able to examine weight changes from weaning, and this revealed that the rate of growth (as measured by percentage change in BW between 3 and 12 months of age) was a more important risk factor than BW1y. These findings mirror those of human studies, where rapid growth in infancy is a major risk factor for obesity in adulthood( Reference Baird, Fisher and Lucas 13 , Reference Druet, Steller and Sharp 28 , Reference Stettler, Stallings and Troxel 29 ). Of course, the factors associated with this difference in growth rate are not clear, and warrant further study. These could include genetic and epigenetic differences, in utero factors, difference in physical activity levels, differences in feeding-related behaviour, digestibility differences and possible differences in gastrointestinal microbiota.
Although the development of the OW phenotype is probably multifactorial, genetic background is likely to be of critical importance. This is clearly the case in human subjects, with family, twin and adoption studies all suggesting the trait to be highly heritable, accounting for between 40 and 70 % of the variation in BMI( Reference Maes, Neale and Eaves 30 , Reference Atwood, Heard-Costa and Cupples 31 ). In a recent study of the ‘OW’ phenotype in a cat colony from Switzerland, complex segregation analysis also revealed the likelihood of a strong genetic component in the development of OW, with a major gene model explaining segregation the best( Reference Haring, Wichert and Dolf 32 ). The population examined in that study was different from that of the current study, in that all cats were sexually intact, mixed breed and fed as a group rather than individually. In contrast, the current population of cats was relatively more diverse in terms of signalment (e.g. range of breeds, neutered and intact animals) and environmental factors (indoor–outdoor v. exclusively indoor) and, therefore, it is not clear whether similar findings would be evident. As a result, prospective genomic studies are needed, both on the current population and the wider pet cat community, to determine what genetic factors might be responsible for the differences identified, and to examine similarities with the OW phenotype identified in the Haring et al. study( Reference Haring, Wichert and Dolf 32 ).
In utero factors, probably acting through epigenetic mechanisms, may also be important for the early life differences between OW and IW cats. In this respect, there is emerging evidence in human subjects that the in utero environment may influence the likelihood of subsequent obesity in the offspring( Reference Rhee, Phelan and McCaffery 33 ). Factors implicated include excessive maternal weight gain during gestation( Reference Oken, Rifas-Shiman and Field 34 ), low carbohydrate intake during pregnancy( Reference Godfrey, Sheppard and Gluckman 35 ), gestational diabetes mellitus( Reference Gillman, Rifas-Shiman and Berkey 36 ) and smoking during pregnancy( Reference Al Mamun, Lawlor and Alati 37 ). Given that the domesticated cat is a pluriparous species, litter size might also be important. The influence of metagenomics has also been studied recently, with emerging work on possible maternal influences on metabolic and growth parameters in cats( Reference Vester, Belisto and Swanson 38 ). Further work on the effect of in utero and maternal factors on the growth of kittens and predisposition to OW is warranted.
Given that long-term success with weight management is disappointing( Reference German, Holden and Mather 39 ), more time should arguably be devoted to obesity prevention( Reference German 40 ) and early identification of the at-risk population, so that efforts at prevention can be best focused. Although previous work on OW colony cats suggested that obese and lean phenotype cats could be identified by BCS as early as 8 months( Reference Vester, Belisto and Swanson 38 ), BCS of all cats was ideal (5/9) in the cats of the present study. This implies that BCS changes may not be sensitive enough to identify those at risk of obesity early in life. This is perhaps not surprising since current BCS systems have only been validated in adult cats, and a 1-unit change in BCS, on a nine-integer unit scale, requires a BW change of approximately 10–15 %( Reference Lund, Armstrong and Kirk 15 , Reference German 16 ). However, the fact that the difference in median 12-month BW between two groups was greater than this (22 %) suggests that this is not only due to increased adiposity but also due to increased stature. This is similar to the situation in human beings, whereby rapid weight gain in infancy not only leads to greater adiposity but also taller height when skeletally mature( Reference Ekelund, Ong and Linné 41 ).
Based upon the findings of the present study, an alternative option would be to consider BW measurement at 12 months, since this was found to be a key marker of risk of OW later in life. Such an approach would have the benefit of ease of application, since a single measurement at 12 months, using precise and accurate weighing scales, is all that would be required. However, the main problem would be that BW is also likely to be affected by sex, breed, size of body frame, and the geographical population (i.e. country and continental differences), so that an appropriate cut-off would need to be established for different cat populations. An alternative approach would be to use percentage change in BW between 3 and 12 months. Although requiring two BW measurements (which would ideally need to be performed on the same weighing scales), such a measure would correct for sex, breed differences and geographical differences in populations and, therefore, be more widely applicable. Further, the use of measurements at 3 months and 12 months could readily be fitted into the normal pattern of routine health checks in veterinary practice, since 3 months and 12 months are ages when cats are routinely seen by veterinarians (i.e. second vaccination and first annual booster vaccination, respectively). However, before such an approach is recommended, its ability to predict OW in adulthood should be tested in other cat populations, most notably in a larger outbred population of client-owned pet cats. This would enable the effects of various owner-related factors to be determined, especially feeding practices. Most notably, the present study did not consider the effects of feeding different types of main meal (e.g. dry food v. wet food) and giving additional foods such as table scraps or treats. Only once such studies have been conducted will the true value of early weight measurement be known.
The study findings must be considered in light of a number of limitations, most important of which was the fact that a colony of cats was used, rather than a population of pet cats. As such, the findings may not be fully reflective of all domesticated cats. Furthermore, the study population was small and, although both pedigree and mixed-breed cats were included, not all breeds were studied. There are also likely to be differences in the genetic background and degree of relatedness of these cats, compared with cats in different countries and on different continents. In addition to genetic factors, the use of colony cats means that the influence of the owner cannot be ascertained, and this may influence the generalisability of these results to the population as a whole. Environmental influences would also be less variable with all cats living in a similar environment, with similar climate exposure, lighting and opportunity for controlled exercise. As a result, the findings should be considered preliminary, and should be confirmed with epidemiological studies in pet cat populations and other colonies. Despite the limitations of a colony study, there are some notable advantages, most importantly that greater environmental control improves the ability to examine the physiological mechanisms in a smaller number of cats. The colony setting also enabled precise and accurate measurement of FI, through the use of electronic weighing scales. This ensured that FI was accurately measured, and known to be free from the inevitable imprecision that arises when owners estimate main meal intake, as well as the feeding of table scraps and treats. Although FI data were not available before cats were 3·5 years of age, and a variety of foods were fed over the timeframe of the study, all were maintenance diets, presented in a dry, extruded, kibbled format, and energy content was similar. Further, because every cat received the same two diets on each day, comparison between cats, and indeed between groups of cat, are still valid. Of course, there would be similar advantages inherent in the ability to weigh all cats, on a regular basis, using the same set of electronic weighing scales.
A further study limitation is that energy expenditure and physical activity were not measured, and the ambient temperature was not recorded. All these factors could have influenced FI and weight status. The similar environment would limit the influence of ambient temperature on the results; however, since not all cats had unlimited access to the outdoors, activity levels would probably be different among cats. That said, housing (i.e. exclusively indoor v. indoor–outdoor) was not found to be a significant influence on BW status although, arguably, our experimental design did not mimic the actual variability in housing conditions among the pet cat population. Further, an effect of exercise cannot be discounted altogether since there may have been individual differences in voluntary activity that were no accounted for. In future studies, methods of measuring physical activity should be considered, such as the use of accelerometers, that have now been validated for companion animals( Reference Wrigglesworth, Mort and Upton 42 ).
Other limitations include the fact that group size was small for assessments made of weight change between 3 and 12 months of age. This might, arguably, have influenced the findings. Against this, however, the findings from these sixteen cats mirrored those of the larger forty-two-cat subgroup, and many of the findings were highly significant. A final issue was the fact that body composition was not assessed during the course of the study and, instead, we relied on BW and BCS. In this respect, BCS was ideal in all cats at BW1y, suggesting that this technique may not be sensitive enough to detect changes significantly different between cats at this age. Further studies should now be considered to examine differences in body composition during growth in cats of OW and lean phenotype. This would enable the reason for the 12-month BW differences to be determined. For such studies, suitable research techniques would include dual-energy X-ray absorptiometry( Reference Raffan, Holden and Cullingham 43 ) or deuterium oxide( Reference Burkholder and Thatcher 44 ), although such methods would not be practical for large-scale studies in pet cat populations. Further, they are unlikely to be integrated into first-opinion veterinary practice in the near future and, for that reason, the relative change in BW between 3 and 12 months would be a more readily calculable and practical measure. As long as the same scales are used, the precision of such a measure is likely to be better than body composition methods. In this regard, while dual-energy X-ray absorptiometry is relatively precise for repeat measurements, its precision( 26 ) is worse than for scales( Reference Burkholder 45 ).
In conclusion, BW at 1 year of age is a significant risk factor for colony cats fed ad libitum becoming OW by 8·5 years and this is, in turn, dictated by the rate of growth between 3 and 12 months of age. Further investigations are necessary for understanding which factors during growth (e.g. genetics or FI regulation) lead to this difference of BW at 1 year of age.
Acknowledgments
The authors thank all caregivers for participating in the study. This research received no specific grant from any funding agency in the public, commercial or not-for-profit sectors. Conflicts of interest are as follows: all the authors are employees of Royal Canin, except A. J. G., whose senior lectureship at the University of Liverpool is supported by Royal Canin. All the authors were involved in the study design, in the collection, analysis and interpretation of data, in the writing of the manuscript, and in the decision to submit the manuscript for publication. From the end of this study to the present, all the cats involved in the feeding performance studies have remained in ideal body condition.
Open access
