History with reference to feeding and exercise status in overweight/obese dogs showed that majority of the dogs were fed only home-cooked food (n=07, 54%) followed by a mixture of both home-cooked and commercial diet (n=06, 46%). Out of thirteen dogs, four dogs (31%) had access to table scraps and leftover food, whereas nine dogs (69%) did not eat table scraps. Snacks and treats were provided by majority of owners
i.
e. 12 (92%) regularly, whereas one dog (8%) did not get any treats. Nine dogs (69%) were fed meals twice a day and four dogs (31%) were fed several times a day. Nutritional supplements were provided to two dogs (15%), whereas eleven dogs (85%) were not provided with any nutritional supplements in this study. All dogs were provided with walking as the form of exercise. Seven (54%) dogs were taken for walk and six dogs (86%) were taken for exercise for less than 0.5 hour and one dog (14%) was taken for walk for 0.5-1 hour.
Feeding is the most handy and agreeable mode of communication and interaction of owners with their pets which ultimately results in obesity
(Kienzle et al., 1998). Feeding snacks and treats, table scraps which are high in calorie content proved to be risk factors for obesity
(Courcier et al., 2010, Heuberger and Wakshlag 2011) which was also seen in present study. There is 2.06-fold greater risk of obesity development in dogs that are fed table scraps or homemade foods as compared with dogs not given these items
(Sallander et al., 2010). Similar results were also observed by
Mao et al., (2013) and
Preet (2018), who found that several feeding times were associated with higher rates of obesity in dogs and also reported that dogs were at increased risk of obesity, when fed home cooked food exclusively as compared to those fed either commercial diet only or a combination of commercial and home cooked food.
Results of proximate analysis of pre-weight loss diets and the prescribed weight loss diet are shown in Table 1.
The mean values of body weight, BCS and Muscle Condition Score (MCS) are shown in Table 2. Significant (P<0.05) difference was observed in mean values of BCS at day 60, from day 30 and that difference persisted until day 90, when compared with day 0 of treatment. There was non-significant decrease in body weight at day 30, 60 and 90, when compared to day 0. No significant differences were found in MCS on day 30, 60 and 90 after nutritional and physical activity management.
The results of effects of weight loss on haemato-biochemical parameters are depicted in Table 3 and 4, respectively. There was no significant (p<0.05) difference in the haematological parameters observed on day 0, 30, 60 and 90 (Table 3). No significant differences were found among the biochemical values at the end of day 30, day 60 and day 90 (Table 4) of weight loss period. However, there was non-significant decrease in adiposity markers (serum cholesterol and leptin) concentrations on day 30, 60 and 90, when compared to day 0.
The mean values of subcutaneous fat thickness (SCT) from six anatomical locations
i.
e. abdomen, mid abdomen, flank (9ICS), thigh, lumbar and chest have been depicted in Table 5. An insignificant decrease in SCT was observed from day 0 to day 90 in five locations (abdomen, mid abdomen, 9ICS, thigh and lumbar). These results might be due to the small sample size and/or due to the short duration of study.
A low-calorie diet with an increased nutrient-to-calorie ratio should be considered for body weight (BW) loss which promotes fat loss while minimizing loss of lean body mass (LBM). Consumption of low-calorie diets with increased protein significantly increases fat loss and reduces the loss of LBM in dogs
(Bierer and Bui, 2004). Protein has a significant diet-induced thermogenesis effect
i.
e. postprandial metabolic energy expenditure is increased more when protein is consumed, compared with carbohydrates or fats
(Laflamme, 2012). The thermic effect provided by a high-protein diet could help offset the reduction in resting energy expenditure, which can slow BW loss and might be contributed to BW rebound
(Wei et al., 2011). A higher protein diet can help reduce the oxidative stress and chronic inflammation associated with obesity. Dietary fiber is another important consideration for BW loss diets. When dietary fiber replaces fat or digestible carbohydrates, the caloric density of the food is reduced and it also provides a satiety effect that might be of value in BW management
(Laflamme 2012).
Yamka et al., (2007) conducted a study comparing 3 diets in the weight loss programme and reported that dogs with higher protein and low-fat diet lost more weight and maintained greater lean muscle mass. This study suggested that increasing the protein and fiber content and decreasing fat content of the food helped to maintain lean muscle mass while enhancing fat mobilization for energy in obese dogs.
The present study was conducted over a span of 12 weeks (3 months) and dogs included in this study reduced an average of 9% of their body weight and 0.75% per week. A weight loss rate of 1-2% per week is usually the target for weight loss based on AAHA weight management guidelines
(Brook et al., 2014). The possible reason for not getting the recommended target rate of weight loss per week as per AAHA weight management guidelines might be due to the fact that this was an uncontrolled study, with small sample size and poor compliance of diet protocol by the owners.
Carciofi et al., (2005) compared the effectiveness of the same hypocaloric diet in an experimental setting and a home setting and reported an average weight loss of 1.39% per week in the experimental group and an average weight loss of 0.75% in home setting. This study suggested that owner compliance is critical for the success of a weight loss protocol. Labrador retrievers were shown to need greater energy restrictions to achieve weight loss
(Bissot et al., 2006). This might be one possible reason for not getting the desired weight loss in the present study.
Saker and Remillard (2005) reported that the BCS decreased in a 3-month weight loss programme. They also reported increased activity and improved social interactions in dogs having lost as little as 1% of their body weight per week. The starting BCS can provide an approximate initial target weight in obese dogs, but that the actual weight that a dog must lose can vary quite dramatically and therefore, safe and successful weight loss is most likely to be achieved when dogs are closely monitored during weight loss and changes made to the plan as required
(German et al., 2009, German et al., 2012).
Canine obesity research suggested that adipose is not an inert tissue, but rather it releases a variety of adipokines that drive the chronic inflammatory response in peripheral tissues, thereby exacerbating many disease processes
(German et al., 2010). Leptin and adiponectin are two important adipokines produced by the white adipose tissue and these adipokines have been shown to be valuable quantitative markers of adiposity in dogs. Leptin positively correlates with body condition score (BCS) in dogs and adiponectin negatively correlates with body fat mass and is therefore more abundant in lean animals
(Ricci and Bevilacqua 2012). Weight loss in obese subjects has been shown to reverse this low-grade inflammatory state and to improve insulin sensitivity. Markers of chronic inflammation and adipokines have been assessed in canine obesity and weight loss, with evidence showing a decrease in pro-inflammatory adipokines, such as leptin and an increase in the adiponectin
(Ishioka et al., 2006, Jeusette et al., 2007. Similar findings were also observed in the current study.
The main serum biochemical finding of canine obesity is hyperlipidemia, which is characterized by hypercholesterolemia and/or hypertriglycemia. Hyperlipidemia could be caused by a quantitative increase in circulating lipoproteins (LP) or by a higher lipid concentration in the various LP classes. When adipose accumulates in humans, the lipoprotein composition is altered with LDL% tending to extend while HDL% generally decreases. In contrast to humans, whose LDL are the main lipoprotein, the dog may be a species with predominant HDL and few VLDL. Hence, in dogs, HDL is the main plasma carriers of cholesterol, with 2 HDL sub-fractions being identifiable
(Mori et al., 2011). Similar findings were also found in the present study.
Pema et al., 2014 reported a significant decrease in cholesterol and triglycerides levels after weight loss with a specific diet. In our study, the obese dogs presented with hyperlipidemia whereas at the end of the study, we observed statistically non-significant further decrease of triglycerides and cholesterol levels in obese dogs treated with weight loss diet, which could be attributed to high protein and less fat diet content.
Carreira et al. (2016) reported a highest fat deposition in abdomen followed by lumbar, thigh and chest using RTU.
Preet (2018) in a study on subcutaneous fat thickness estimation in overweight and obese dogs concluded that maximum fat deposition was found in lumbar region followed by chest, abdomen, flank, thigh and mid abdomen. No literature reports could be traced for the comparison of the effect of weight loss on subcutaneous fat thickness measurement by ultrasonography in overweight/ obese dogs.