This study, which was conducted in a long-term in-patient controlled setting where patients could not purge or engage in hyperactivity, examined the energy requirements and influencing factors during weight recovery in patients with AN. Our results showed that patients with AN required a greater energy intake to gain weight than that required for healthy individuals [7]. Furthermore the amount of energy intake required in patients with AN to gain weight varied considerably, and the body compositions, namely the ratio of FM to SLM, prior to renourishment affected the energy requirements.
Weight recovery is one of the core principles of AN treatment and the first goal of treatment. However, there are conflicting reports on the amount of energy required to gain 1-kg BW for patients with AN, which may explain the inconsistencies in the current guidelines regarding the amount of calories required for weight recovery in these patients.
The current study showed that patients with AN needed 12777 kcal to gain 1 kg during the weight recovery period. According to previously reported studies on overfeeding (16), approximately 10500 kcal of energy was needed to gain 1-kg BW in healthy individuals, indicating that patients with AN may have required more energy to gain BW compared with healthy individuals. Some studies have directly compared the amount of energy required to gain weight in patients with AN with that required for healthy controls. Forbes et al. reported that healthy controls needed more energy than patients with AN (AN, 4730 kcal/kg; control, 7090 kcal/kg). However, the AN group consisted of seven women and one man, while the control group consisted of only men (n = 17). Furthermore, only three individuals from the control group and the AN group were directly compared (17). These factors may have caused the inconsistencies with our results.
Although not a direct comparison of excess energy required for weight gain, resting energy expenditure (REE) was reported to increase in both healthy participants and patients with AN during weight gain. Furthermore, the increase in REE in healthy patients was proportional to the increase in fat-free mass (FFM), while the increase in REE in patients with AN was disproportionately greater than the increase in FFM (18)(19). There are large individual differences in the energy required for weight gain in healthy persons, which may be affected by factors such as hereditary characteristics (20) and non-exercise activity thermogenesis (NEAT) (21)(22). Although the current study was conducted in a prison setting and the behaviors and activities of the participants were strictly monitored, hyperactivity is one of the symptoms of AN. An increase in NEAT may have affected the increase in EE1. Furthermore, diet-induced thermogenesis (DIT) is also one of the factors that affect energy expenditure. DIT is said to account for approximately 10% of energy consumed and varies between individuals (23). Therefore, it may account for individual differences in EE. It has also been reported that in AN, DIT is greater with increased energy intake, which may explain how EE is greater in patients with AN than that in healthy women (11).
Our group has previously reported gut dysbiosis in patients with AN (4). Also, germ-free mice transplanted with feces from patients with AN showed a decrease in BW gain and nutritional efficiency compared with mice transplanted with feces from healthy donors (24). It has been speculated in the livestock industry that intestinal bacteria influence weight gain and loss, as antibiotics in livestock produce weight gain and antibiotics in germ-free animals do not produce this weight gain effect (25). These reports indicate that abnormalities in gut microbiota in patient with AN may also affect the energy cost of weight gain.
Several studies have investigated the amount of energy required to gain weight, with results varying widely among the studies and among participants in the same study (6)(7)(8)(17)(26)(27)(28)(29). Our results showed that the energy cost to gain 1-kg BW was 12777 kcal/kg, higher than that reported in most previous studies, but relatively similarly to the values observed by Yamashita et al. (28). Some differences exist between our study and the study by Yamashita et al. which included patients in the general hospital setting and measured body composition using dual-energy X-ray absorptiometry. Nonetheless, the following similarities should be noted: 1) all participants were Japanese (Asian); 2) the observation period was longer than that in other studies (current study, mean 302 days; Yamashita et al. study, mean > 112 days; Gentile et al. study, mean 90 days); 3) caloric intake of participants was based on the daily requirements of a healthy woman, while caloric intake was greater than that required by healthy women in other studies (Russell et al., 3500–5500 kcal/day and Gentile et al., 1199–2935 kcal/day). The aforementioned factors may explain the inconsistencies between the results of the present study and previously reported studies.
As previously noted, the amount of energy required to gain 1 kg during the weight recovery period of patients with AN varied greatly among participants in the same study. In previous studies with more than 10 patients, the CV ranged from 25.4–95.4% with a smaller number indicating a smaller degree of variability (7)(8)(26)(28). The CV in our study was 26.1%, indicating that the amount of energy required to gain 1 kg varied among participants, excluding outliers, although by a smaller amount than that reported in other studies.
Regarding influencing factors, one study reported that patients with AN restricting-type (AN-R) required more energy for weight gain than patients with AN binge-eating/purging type (AN-BP) (7), while another study reported opposite results (30). Additionally, patients with FM < 4 kg or BMI < 14 kg/m2 prior to refeeding required less energy for weight gain compared with those with FM ≥ 4 kg or BMI ≥ 14 kg/m2 (28). In our study, we found a relationship between EE1 and factors including FM, FMP, SLP, and BWR, although the subtype of AN and BMI did not appear to be associated with EE1. EE1 was significantly higher in patients with initial FM ≤ 3.0 kg, FP ≤ 8.0%, SLP > 85%, and BWR > 0.665 values, suggesting that the amount of energy required to gain weight may depend on the ratio of fat to muscle (i.e., how undernourished or hyperactive the patient is), rather than their physique.
Considering that the participants in the present study included old and undernourished individuals, the effects of sarcopenia should also be considered, particularly in terms of re-nutrition and rehabilitation. Only three cases in our study population (all in their 40s) had an SMI < 5.7 kg/m² that met the diagnostic criteria (Asian Working Group for Sarcopenia 2019) for sarcopenia. However, by approximately the end of the initial month, these cases no longer met the diagnostic criteria; therefore, the overall impact of sarcopenia was not considered.
The inconsistencies between our results and those of previous studies may be explained by following: 1) the number of participants in our study was larger than that in previous studies, 2) our participants were older than those in previous studies, and 3) setting for our study was a medical prison, with strict observation conditions. In a previous study that did not investigate the energy required to gain weight, anxiety, abdominal pain, activity level, and smoking were reported as factors that increase REE in patients with AN [8]. An increase in the actual REE could increase the resultant energy value for weight gain, as the REE in our study was determined based on Scalfi’s formulation. We did not investigate anxiety or abdominal pain, and our participants did not smoke as smoking is prohibited in medical prisons in Japan. However, activity levels and NEAT may have affected our results. Patients with hyperactivity may experience increased NEAT and require more energy, even if their activity levels are restricted. To better evaluate the amount of energy required for weight gain, activity meters or metabolic rooms are essential.
The strengths of the current study include that the medical prison setting which allowed us to observe the participants for a longer period of time and under more strictly controlled conditions than those in place in other hospitals in Japan. Considering the typical traits of patients with AN, this may be an important factor in accurately investigating the number of calories consumed. Furthermore, this study included a larger number of participants compared to that in previous studies.
The current study also has several limitations. First, we could not exclude the possibility of a gap between the calculated total energy expenditure (TEE) and actual TEE values, as we did not use an indirect calorimeter or an activity meter. Second, the participants in the current study were older than the average patient with AN; hence, our results may not be applicable to patients in their teens or twenties, which is the average age for patients with AN. Third, since Scalfi's formula is designed for females under the age of 30 years, it may not be suitable for use in patients aged 30 and above. Nonetheless, we decided to use this formula as there is no alternative well-established formula for the calculation of BMR in patients with AN aged 30 and above.