Skip to main content
Journal of Exercise Nutrition & Biochemistry logoLink to Journal of Exercise Nutrition & Biochemistry
. 2019 Sep 30;23(3):22–28. [Article in Korean] doi: 10.20463/jenb.2019.0019

Effects of exercise training at lactate threshold and detraining for 12 weeks on body composition, aerobic performance, and stress related variables in obese women

Hun-Young Park 1,2, Sungho Kim 3, Younho Kim 4, Sangyun Park 4, Sang-Seok Nam 5,*
PMCID: PMC6823647  PMID: 31743978

INTRODUCTION

Obesity is caused by the accumulation of excess fat, an energy imbalance between excess intake of food and calories burned1. According to a 2014 report by the World Health Organization (WHO), 39% of the world's adult population (more than 1.9 billion people) are overweight and 13% (6 million) are obese2. In Korea, the prevalence of obesity in men decreases with age (32%, 43.9%, 39.6%, 41.5%, 36.9%, and 24.0% in men in their 20s, 30s, 40s, 50s, 60s, and 70s, respectively). However, the prevalence of obesity in women increases rapidly with age (15%, 18.6%, 22.3%, 29.3%, 36.6%, and 37.3% in women in their 20s, 30s, 40s, 50s, 60s, and 70s, respectively)3. Hence, there is a greater chance of women becoming obese with increasing age. These results indicate that long-term and continuous intervention for the treatment of obesity is required for women in their 20s to 40s since their prevalence of obesity is relatively low.

Obesity is a major contributory factor to the increasing prevalence of diabetes, hypertension, cardiovascular disease, fatty liver, gallbladder disease, colorectal cancer, and breast cancer; it also causes serious mental, physical, and social problems4,5. Currently, there are three ways to prevent and treat obesity: surgery, medication, and a combination of diet and exercise intervention. Among these, surgery and medication may have an immediate effect on weight loss, but due to the costs involved and associated side effects, they are limited to specific patients such as the morbidly obese in clinical settings6,7. On the other hand, the combination of diet and exercise intervention increases basal metabolic rate by increasing lean body mass and enhancing activation of fat utilization8.

In general, the most recommended exercise prescription for the prevention and treatment of obesity is aerobic exercise with moderate intensity (50 to 85% maximal oxygen consumption [VO2max] or 60 to 90% maximal heart rate [HRmax]), frequency (3 to 5 days per week), time (45 to 60 minutes), and duration (more than 12 weeks)9,10. However, the most widely used setting of exercise intensity generally shows different levels of aerobic and anaerobic energy metabolism depending on the VO2max of the individual. Therefore, Menzel & Hilberg11 recommend using the anaerobic threshold (AT) intensity of each individual as the appropriate exercise intensity for weight loss. There are two representative methods of determining AT: lactate threshold using blood lactate levels (LT) and ventilatory threshold (VT) using respiratory gas12. LT, rather than VT, is more efficient in the determination of AT because it is a point of rapid change in blood lactate concentration, is less subjective in judgment, and more practical13.

Recently, the heart rate variability (HRV) test has been widely used in clinical trials as a method for examining the relationship between obesity and the autonomic nervous system14-16. This method is recognized as a non-invasive and reliable evaluation method that can quantitatively evaluate the activity of the sympathetic and parasympathetic nervous systems17,18. Autonomic nervous system function is closely related to obesity; the activity of the sympathetic nervous system leads to a decrease in basal metabolic rate, inducing weight gain, and obesity19. Since autonomic nervous system function has been suggested as an important index for evaluating obesity, it is necessary to examine the relationship between the physiological changes caused by weight loss through diet plus exercise intervention and the autonomic nervous system changes following weight recovery after suspending the intervention.

Regular aerobic exercise, composed of appropriate protocols for obese people, has a positive effect on body composition, aerobic exercise capacity, and autonomic nervous system function. In order to maintain these positive changes, steady exercise and a regular lifestyle should be maintained. However, exercise is easily interrupted by such factors as satisfaction with the achievement of the weight goal, daily economic activity, and low interest in exercise. These lead to the yo-yo phenomenon where there is a return to or increase in weight before the weight is lost again20. However, studies on the improvement of obesity to date are limited to examining the effects of various types of exercise on various dependent variables including weight loss.

Therefore, our study examined the effect of diet plus exercise training at LT and detraining for 12 weeks on body composition, aerobic performance, and stress-related variables in obese women in their 20s to 40s.

METHODS

Participants

The participants of our study were 43 obese women in their 20s-40s with body mass index (BMI) of greater than 25 kg/m2 and 30% body fat. They were divided into two groups made up of 22 women in the exercise group with heart rate at lactate threshold (HRLT) and 21 in the HRLT + 5% exercise group by random sampling. Participants underwent 12 weeks of exercise training and detraining consecutively. Of these, 18 participants dropped out due to health problems and personal circumstances during the training period, and five participants who had been inconsistent were excluded during the detraining period. The final number of participants was 25 with 13 women in the HRLT exercise group and 12 in the HRLT + 5% exercise group. All procedures followed were in accordance with the ethical standards of the responsible committee in KyungHee University on human experimentation (KHSIRB 2015-029) and with the tenets of the Declaration of Helsinki. The characteristics of the participants are shown in Table 1.

Table 1. Characteristics of participants .

Items HRLT HRLT + 5% p-value
Age (yrs) 36.5 ± 10.1 37.2 ± 6.7 .832
Height (cm) 157.4 ± 4.4 161.6 ± 5.4 .116
Weight (kg) 69.1 ± 7.8 71.2 ± 5.4 .451
% BF 34.2 ± 3.8 34.2 ± 2.0 .979
BMI (kg/m2) 27.5 ± 2.5 27.3 ± 1.6 .748
THR (bpm) 134.5 ± 14.0 143.2 ± 15.9 .161

Note: % BF = percent of body fat, BMI = body mass index, THR = target heart rate, HRLT = heart rate at lactate threshold.

Experimental design

In order to conduct our study, we first conducted a graded exercise test (GXT) for the measurement of VO2max on 25 obese women with BMI greater than 25 kg/m2 and 30% body fat in their 20s to 40s who had not performed regular physical activity in the previous 6 months. Participants were then divided into two groups of 13 and 12 in the HRLT and HRLT + 5% exercise groups, respectively, by random sampling. All participants underwent training sessions consisting of treadmill exercises (30 min) and bicycle exercises (30 min) for a total duration of 1 hour, 3 days per week, for 12 weeks. All participants then underwent 12 weeks of consecutive detraining. To achieve the study objectives, all dependent parameters such as dietary intake, daily activity, body composition, aerobic exercise capacity, and stress-related variables were measured before training, after 12 weeks of training, and after 12 weeks of detraining. Additionally, participants in both groups were instructed to voluntarily take 70% of each individual's recommended daily allowance (RDA) through consultation with a clinical nutritionist during the study period.

Measurements

Dietary treatment and dietary intake

A clinical nutritionist prescribed the appropriate amount needed to lose weight based on age, height, weight, and activity. Dietary intake approximated 70% of the RDA for normal adults10. Participants were requested to record details of their meals (i.e., type, amount, and ingredients) every day both before and during the 24-week intervention period, which was monitored by a clinical nutritionist every month to confirm adherence to the dietary treatment. Total caloric intake was analyzed by selecting the 2 times per weekday and 1 time per weekend records at various time points throughout the study. Total caloric intake was analyzed using a Computer Applied Nutrition Analysis Program, according to Korea Nutrition Facts from the Korea Food & Drug Administration in the Ministry for Health, Welfare, and Family Affairs, Republic of Korea.

Daily activity

Fitness bands (Polar Loop 1, Finland) were used to examine daily activity in addition to the defined exercise training. The instrument was used to measure the estimated number of calories consumed daily during our study periods.

Height and body composition

Height was measured as the distance between the bottom of the foot and top of the head using a stadiometer (PKS-1008, Tokyo, Japan). Body weight, percentage body fat, and BMI were measured using an X-SCANPLUS (Jawon Medical, Seoul, Korea).

Aerobic performance

Aerobic performance was analyzed by GXT using K4B2 (Cosmed, Rome, Italy), an automatic breathing gas analyzer. The GXT protocol was started at 3.6 km/h, and while the speed was increased by 1.2 km/h every 2 min, the slope was 0% at all speeds. We finished the exercise test when three or more of the following occurred: (i) when the subject requested to stop the test; (ii) when the current heart rate exceeded 90% of the predicted maximal heart rate; (iii) when the respiratory exchange rate was >1.15; (iv) when the oxygen intake did not change even when the exercise intensity increased. Blood lactate levels were measured every minute by using a lactic acid analyzer (YSI-1500) for blood samples collected into capillary tubes with the finger-tip method.

Stress related parameters

The measurement of stress-related parameters were performed using the HRV measuring device (LAXTHA, CANS-3000, Seoul, Korea). The electrocardiogram was measured for 5 minutes, and the data were automatically analyzed using the Telecan version 3.23 program. HRV was analyzed using time-domain methods based on beat-to-beat or normal-to-normal (NN) intervals, and frequency-domain methods assigned to bands of frequency followed by counting the number of NN intervals matching each band. The average of all RR intervals (mean RR), standard deviation of successive differences (SDDN), and root mean squares of successive differences (RMSSN) were analyzed using time-domain methods. Total power (TP), low frequency (LF), and high frequency (HF) were measured as frequency-domain methods.

Exercise training

Exercise training during the intervention period was performed as follows: during the treadmill exercises, the heart rates (HR) of all participants were monitored using a HR monitor (Polar S610i, Finland) to maintain their target HR corresponding to LT and LT + 5% as much as possible, and exercise was performed for 30 minutes while controlling the speed of the treadmill (Taeha IT-6025, Korea). For bicycle exercises, all obese women entered their gender, age, weight, HRLT and HRLT + 5% into a cycle ergometer (Combi 75XLII, Tokyo, Japan) and attached a heart rate sensor to the earlobe. The exercise load of the bicycle ergometer was automatically adjusted according to the heart rate information transmitted through the heart rate sensor attached to the earlobe.

Statistical analysis

Means and standard deviations (SD) were calculated for each primary dependent variable. Normality of distribution of all outcome variables were verified using the Kolmogorov-Smirnov test. A two-way analysis (time × group) of covariance with repeated measures of the “time” factor was used to analyze the effects of training programs on each dependent variable. Post-hoc tests between times in each group, and paired t-tests and post-hoc test between groups at each time point for least significant difference (LSD) were conducted. All analyses were performed using the IBM Statistical Package for the Social Sciences for Windows, version 23 (IBM Corp., Armonk, NY, USA). The level of significance was set a priori at 0.05.

RESULTS

Dietary intake

Before, after training, and after detraining data for dietary intake are shown in Table 2. Dietary intake showed no significant interaction and main effect. This means that changes in dietary intake do not affect training and detraining. However, the HRLT and HRLT + 5% exercise groups showed 830.8 kcal and 782.7 kcal dietary intake reduction, respectively, by training. Also, detraining showed a tendency for dietary intake to increase corresponding to 342.8 kcal in the HRLT exercise group and 484.6 kcal in the HRLT + 5% exercise group.

Table 2. Changes of dietary intake (kcal/day) during training and detraining periods in each group.

Groups Training at 0 weeks Training at 12 weeks Detraining at 12 weeks F-value
HRLT 2013.06 ± 382.93 1182.22 ± 327.01 1525.01 ± 334.97 T: 3.331
G: .053
T x G: .446
HRLT + 5% 1868.53 ± 395.37 1085.79 ± 123.47 1570.34 ± 508.23

Note: HRLT = heart rate at lactate threshold, T = time, G = group.

Daily activity

Table 3 depicts before, after training, and after detraining data for daily activity in both groups. There was no significant interaction, but significant main effects within the time periods have been presented. As a result of post-hoc analysis, the HRLT and HRLT + 5% exercise groups showed 221.5 kcal and 284.9 kcal daily activity increase over 12 weeks of exercise training, respectively. However, both the HRLT and HRLT + 5% exercise groups showed 92.3 kcal and 136.9 kcal daily activity reductions by detraining, respectively.

Table 3. Changes in daily activity (kcal/day) during training and detraining periods in each group.

Groups Training at 0 weeks Training at 12 weeks Detraining at 12 weeks F-value
HRLT 1970.42 ± 187.00 2191.92 ± 181.05a 2099.59 ± 107.31ab T: 12.650*
G: 2.368
TxG: 1.660
HRLT + 5% 2051.96 ± 188.27 2336.95 ± 162.93a 2200.04 ± 205.78ab

Note: HRLT = heart rate at lactate threshold, T = time, G = group.

* significant interaction or main effect, a p<.05 vs training at 0 weeks, b p<.05 vs training at 12 weeks.

Body composition

The change in body composition by training and detraining are shown in Table 4. There were no significant interactions in any of the body composition parameters, but significant main effects within time presented in % body fat by detraining. As a result of post-hoc analysis, there were no statistical differences in body weight, but the HRLT and HRLT + 5% exercise groups showed 4.9 kg and 4.8 kg body weight decrease tendencies, respectively, over 12 weeks of training, and this decrease tended to persist after 12 weeks of detraining. Body fat percentage also showed a 3.1% tendency to increase in the HRLT exercise group and 3% in the HRLT + 5% exercise group, but it did not change in either group by 12 weeks of detraining.

Table 4. Changes of body composition during training and detraining periods in each group.

Items Groups 0 weeks 4 weeks 8 weeks 12 weeks F-value
Training Weight
(kg)
HRLT 69.14 ± 7.84 67.18 ± 7.77 65.16 ± 8.65 64.15 ± 8.70 T: .832
G: .009
TxG: .052
HRLT + 5% 71.20 ± 5.44 69.19 ± 6.40 67.54 ± 5.99 66.35 ± 6.01
%BF HRLT 34.23 ± 3.83 32.63 ± 3.92 32.37 ± 3.21 31.14 ± 3.64 T: .908
G: .002
TxG: .297
HRLT + 5% 34.20 ± 2.01 32.84 ± 2.47 31.90 ± 2.88 31.20 ± 3.07
BMI
(kg/m2)
HRLT 27.53 ± 2.54 26.75 ± 2.49 25.94 ± 2.91 25.41 ± 3.22 T: 1.367
G: .069
TxG: .132
HRLT + 5% 27.26 ± 1.58 26.48 ± 1.97 25.85 ± 1.80 25.22 ± 1.84
Detraining Weight
(kg)
HRLT 64.15 ± 8.70 63.98 ± 9.18 64.06 ± 8.95 63.93 ± 8.68 T: .496
G: .895
TxG: .609
HRLT + 5% 66.35 ± 6.01 66.79 ± 6.25 66.58 ± 6.44 66.77 ± 6.61
%BF HRLT 31.14 ± 3.64 30.35 ± 2.71 31.13 ± 3.02b 31.41 ± 3.90 T: 3.863*
G: 1.372
TxG: .723
HRLT + 5% 31.20 ± 3.07 31.11 ± 2.92 31.32 ± 2.76 31.99 ± 3.08b
BMI
(kg/m2)
HRLT 25.41 ± 3.22 25.33 ± 3.35 25.37 ± 3.30 25.32 ± 3.18 T: .308
G: 1.287
TxG: .766
HRLT + 5% 25.22 ± 1.84 25.38 ± 1.93 25.30 ± 1.98 25.38 ± 2.07

Note: % BF = percent of body fat, BMI = body mass index, HRLT = heart rate at lactate threshold, T = time, G = group.

* significant interaction or main effect, b p<.05 vs training at 4 weeks

Aerobic performance

Table 5 depicts before, after training, and after detraining data for aerobic performance parameters in both groups. There were no significant interactions in any of the` body composition parameters, but significant main effects within time presented in HRLT, HRmax, and VO2LT by training and detraining. As a result of post-hoc analysis, HRLT showed no significant changes in training in either group, but it showed significant decreases of 11.3 bpm and 7.4 bpm in the HRLT and HRLT + 5% exercise groups, respectively, by detraining. HRmax decreased significantly with time regardless of the 12 weeks of training and detraining periods. VO2LT showed significant increases of 4.85 mL/kg/min and 4.93 mL/kg/ min by 12 weeks of training in the HRLT and HRLT + 5% exercise groups, respectively. However, VO2LT decreased significantly by 3.8 mL/kg/min and 3.4 mL/kg/min, respectively, after 12 weeks of detraining. In VO2max, the HRLT and HRLT + 5% exercise groups showed increase tendencies of 4.86 mL/kg/min and 4.15 mL/kg/min, respectively, by training. Also, VO2max showed decrease tendencies of 4.65 mL/kg/min in the HRLT exercise group and 3.64 mL/kg/min in the HRLT + 5% exercise group.

Table 5. Changes in aerobic performance during training in each group.

Items Groups Training 0 week Training 12 week Detraining 12 week F-value
HRLT
(bpm)
HRLT 134.43 ± 14.01 142.14 ± 13.29 130.81 ± 9.35b T: 14.286*
G: .157
TxG: .479
HRLT + 5% 134.25 ± 15.79 138.71 ± 10.24 131.35 ± 13.06b
HRmax
(bpm)
HRLT 188.92 ± 10.28 187.23 ± 10.27 184.15 ± 8.83a T: 3.533*
G: .734
TxG: 2.230
HRLT + 5% 186.48 ± 10.48 181.15 ± 9.33a 183.20 ± 9.22
VO2LT
(mL/kg/min)
HRLT 24.00 ± 4.48 28.85 ± 3.72a 25.05 ± 3.75b T: 20.045*
G: .003
TxG: .015
HRLT + 5% 23.56 ± 4.35 28.49 ± 3.82a 25.07 ± 2.48b
VO2max
(mL/kg/min)
HRLT 37.31 ± 4.09 42.17 ± 5.25 37.52 ± 4.67 T: .382
G: .078
TxG: .195
HRLT + 5% 35.58 ± 3.08 39.73 ± 4.74 36.09 ± 4.89

Note: HRLT = heart rate at lactate threshold. HRmax = maximal heart rate, VO2LT = oxygen uptake at lactate threshold, VO2max = maximal oxygen uptake, T = time, G = group.

* significant interaction or main effect, a p<.05 vs training at 0 weeks, b p<.05 vs training at 12 weeks.

Stress related parameters

The changes in stress-related parameters using HRV by training and detraining are shown in Table 6. There were no significant interactions in any of the stress-related parameters, but significant main effects within time presented by 12 weeks of training in mean RR, SDDN, RMSSD, TP, LF, and HF. Also, 12 weeks of detraining resulted in significant main effects in mean RR and HF. As a result of post-hoc analysis, no significant changes in the HRLT exercise group was seen after 12 weeks of training, but the HRLT + 5% exercise group showed a significant increase, especially in mean RR and RMSSD. Twelve weeks of detraining did not yield any significant change in any of the HRV parameters.

Table 6. Changes in HRV as stress related parameters within training and detraining periods in each group.

Items Groups 0 weeks 4 weeks 8 weeks 12 weeks F-value
Training Mean
RR
(ms)
HRLT 842.39 ± 122.26 805.31 ± 103.28 824.68 ± 85.55 828.22 ± 83.26 T: 10.504*
G: .579
TxG: .720
HRLT + 5% 815.24 ± 84.30 794.85 ± 86.48 835.83 ± 85.37b 854.01 ± 102.54b
SDNN
(ms)
HRLT 37.75 ± 16.58 33.43 ± 9.03 35.30 ± 9.68 34.33 ± 6.26 T: 15.704*
G: 1.068
TxG: 1.324
HRLT + 5% 35.88 ± 11.12 34.98 ± 9.40 34.79 ± 9.15 37.90 ± 10.12c
RMSSD
(ms)
HRLT 22.62 ± 15.98 20.24 ± 10.76 21.08 ± 8.38 21.84 ± 7.80 T: 14.094*
G: 1.623
TxG: 1.035
HRLT + 5% 17.93 ± 6.71 20.34 ± 9.02 22.59 ± 9.49a 23.80 ± 9.09ab
TP
(ms2)
HRLT 7.01 ± 0.77 6.78 ± 0.56 6.88 ± 0.57 6.87 ± 0.36 T: 7.658*
G: .526
TxG: .701
HRLT + 5% 7.01 ± 0.77 6.86 ± 0.59 6.89 ± 0.52 7.05 ± 0.52c
LF
(ms2)
HRLT 5.37 ± 0.83 5.25 ± 0.61 5.39 ± 0.46 5.30 ± 0.50 T: 8.583*
G: .430
TxG: .838
HRLT + 5% 5.42 ± 0.68 5.44 ± 0.61 5.39 ± 0.72 5.54 ± 0.72c
HF
(ms2)
HRLT 5.52 ± 1.40 5.08 ± 1.08 5.08 ± 1.00 5.13 ± 0.82 T: 10.885*
G: 1.430
TxG: .834
HRLT + 5% 5.15 ± 0.88 5.06 ± 0.94 5.16 ± 0.73 5.27 ± 0.81
Detraining Mean
RR
(ms)
HRLT 828.22 ± 83.26 839.54 ± 65.77 818.68 ± 82.55 820.12 ± 115.29 T: 3.265*
G: .547
TxG: .301
HRLT + 5% 854.01 ± 102.54 876.39 ± 92.60 847.69 ± 94.55b 858.89 ± 98.82
SDNN
(ms)
HRLT 34.33 ± 6.26 36.59 ± 9.80 34.38 ± 10.05 32.31 ± 9.21 T: .536
G: .509
TxG: .551
HRLT + 5% 37.90 ± 10.12 40.94 ± 12.52 38.73 ± 11.25 38.67 ± 10.54
RMSSD
(ms)
HRLT 21.84 ± 7.80 22.63 ± 9.28 22.15 ± 9.22 19.65 ± 7.60 T: 1.832
G: 1.674
TxG: 1.033
HRLT + 5% 23.80 ± 9.09 26.60 ± 12.58 24.89 ± 11.54 25.07 ± 10.07
TP
(ms2)
HRLT 6.87 ± 0.36 6.92 ± 0.60 6.78 ± 0.60 6.69 ± 0.62 T: 1.206
G: .666
TxG: .960
HRLT + 5% 7.05 ± 0.52 7.16 ± 0.61 7.02 ± 0.58 7.07 ± 0.49
LF
(ms2)
HRLT 5.30 ± 0.50 5.37 ± 0.48 5.20 ± 0.68 5.00 ± 0.71b T: 1.381
G: 1.073
TxG: 1.639
HRLT + 5% 5.54 ± 0.72 5.59 ± 0.73 5.50 ± 0.62 5.47 ± 0.52
HF
(ms2)
HRLT 5.13 ± 0.82 5.09 ± 0.95 5.10 ± 1.05 5.00 ± 0.57 T: 4.966*
G: 2.211
TxG: 1.106
HRLT + 5% 5.27 ± 0.81 5.41 ± 0.86 5.32 ± 0.85 5.40 ± 0.74

Note. HRV = heart rate variability, SDNN = standard deviation of NN intervals, RMSSD = root mean square of successive differences, TP = total power, LF = low frequency, HF = high frequency, HRLT = heart rate at lactate threshold, T = time, G = group.

* significant interaction or main effect, a p<.05 vs training at 0 weeks, b p<.05 vs training at 12 weeks, # p<.05 vs HRLT group

DISCUSSION

Our study examined the effect of diet plus exercise training at LT and detraining for 12 weeks on body composition, aerobic performance, and stress-related variables after classifying obese women in their 20s to 40s into HRLT and HRLT + 5% exercise groups.

With regard to dietary intake and daily activity, all participants were encouraged to adopt 70% of the RDA during the 12-week training period. The total calorie intake was significantly decreased during the 12 weeks of exercise training in both groups, and the decrease ratio was found to be 830.8 kcal vs 782.7 kcal (HRLT vs HRLT exercise groups), indicating that the treatment for diet was relatively well done. Daily activity showed a similar increase of 221.5 kcal and 284.9 kcal in the HRLT and HRLT exercise groups, respectively, during the training period. These results suggest that exercise training is a great motivator for weight loss and health management in the participants, and this motivation changed their lifestyle more actively and positively during the training period21. However, 12 weeks of detraining resulted in a significant increase in dietary intake and a significant decrease in daily activity in both groups. Therefore, the detraining in obese women in their 20s to 40s is thought to be the result of both a cessation in physical exercise and an induction of the yo-yo phenomenon of weight gain through increasing dietary intake and decreasing daily activity22.

The most commonly used method of treating obesity is a combination of diet and exercise, and it has been reported that dietary treatment should not be limited to less than 1,200-1,600 kcal/day for men and 1,000-1,200 kcal/day for women to avoid limiting the energy balance and micronutrient intake required by individuals23. Additionally, it is widely known that aerobic exercise of 60 to 90 minutes or more daily is the most commonly used method of treating obesity as it reduces body fat24. The combination of diet and exercise has been reported to not only reduce body weight and body fat, but also to improve various clinical factors associated with diabetes and cardiovascular disease8,25. It also increases endorphin secretion to make the subject feel good and has a motivating effect on the treatment of obesity, which can be maintained for a relatively long time after treatment26.

Based on this previous study, our study provided proper diet and exercise treatment to all participants of the HRLT and HRLT + 5% exercise groups during the 12-week training period. As a result, body weight showed a decrease of 4.9 kg and 4.8 kg in the HRLT and HRLT + 5% exercise groups, respectively, which persisted after 12 weeks of detraining. The percentage of body fat decreased by 3.1% and 3% in the HRLT and HRLT + 5% exercise groups, respectively, but showed slightly increased tendencies of 0.3% and 0.8% in the HRLT and HRLT + 5% exercise groups, respectively, after 12 weeks of detraining. In other words, our study showed a positive effect contrary to the results of previous studies, in which obese people stopped the long-term diet plus exercise intervention for weight loss and showed the yo-yo phenomenon. The differences compared to previous studies cannot be clearly interpreted, but these results are believed to be due to the fact that although both groups had higher dietary intake and lower daily activity after 12 weeks of detraining than after 12 weeks of training, there was a relatively lower dietary intake and higher daily activity after 12 weeks of detraining than before training.

Generally, the improvement of aerobic performance by long-term exercise training has been reported to improve body composition and various clinically-related variables, thereby reducing the risk of obesity and metabolic syndrome27,28. The most commonly used parameters in evaluating aerobic performance are VO2max and HRmax. VO2LT and HRLT have also been reported to be appropriate as evaluation parameters29,30. Our study showed a significant increase in VO2LT and increased tendency in VO2max by 12 weeks of exercise training in both groups. However, despite a higher daily activity being maintained during the detraining period than before training, the aerobic performance was reduced to the initial level. These results suggest that aerobic performance is not maintained even if high daily activity is shown through various activities in daily life, unless physical activity of high intensity is performed.

The HRV test is recognized as a very effective method for determining stress levels by quantitatively evaluating the activity and balance of the autonomic nervous system, and the result is a relatively simple non-invasive measurement that can be quickly obtained through computer analysis30,31. Furthermore, HRV has the advantage of being able to objectively and easily measure the activity of the autonomic nervous system and changes in its activity and balance due to stress have been reported to have characteristics that make it possible to diagnose the degree of stress and stress-related diseases in the field of psychiatry14,32. Therefore, the HRV test is regarded as a useful tool for objectively evaluating the psychological-emotional status of an individual33.

In this study, the HRV test was performed to examine the effects of 12 weeks of training and detraining on the stress in obese women in their 20s to 40s. No significant change was observed in the HRLT exercise group, but the HRLT + 5% exercise group showed a relatively marked increase tendency. In particular, mean RR and RMSSD showed significant increases of 38.77 ms and 5.87 ms, respectively. Mean RR and RMSSD, which are prominent in exercise training, are very simple methods that use the RR intervals obtained from electrocardiograms34. The RR interval is the interval between R and the next consecutive R between adjacent QRS complexes on the ECG, and mean RR generally corresponds to the mean value of the time interval between R and R for 5 minutes. The RMSSD is expressed as the square root of the average of the sums of squares of differences between adjacent RR intervals. These variables are reported to indicate short-term cardiac variability and activity of parasympathetic nerves. Therefore, it is reported that the autonomic nervous system activity and balance are stable, less stressed, and healthy people have higher mean RR and RMSSD levels14,17. Also, these HRV variables have been reported to improve with various indicators for obesity and lifestyle diseases when applying various types of exercise training14,17,30,33. Therefore, dietary treatment equivalent to 70% of RDA and exercise treatment above moderate intensity corresponding to HRLT and HRLT + 5% for 12 weeks enhance the balance of the autonomic nervous system and resistance to stress by improving HRV, and these effects are believed to persist even after 12 weeks of detraining.

Our results suggest that 70% RDA of dietary intervention and exercise training corresponding to HRLT and HRLT + 5% for 12 weeks were effective in improving body composition, aerobic performance, and stress. In particular, the improvement of HRV, an indicator of stress, persisted for up to 12 weeks after the end of exercise training in obese women.

Acknowledgments

This study was supported by the Samsung Advanced Institute of Technology.

References

  • 1.Park HY, Kim J, Park MY, Chung N, Hwang H, Nam SS, Lim K. Exposure and exercise training in hypoxic conditions as a new obesity therapeutic modality: a mini review. J Obes Metab Syndr. 2018;27:93–101. doi: 10.7570/jomes.2018.27.2.93. [Park HY, Kim J, Park MY, Chung N, Hwang H, Nam SS, Lim K. Exposure and exercise training in hypoxic conditions as a new obesity therapeutic modality: a mini review. J Obes Metab Syndr. 2018;27:93-101.] [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Díaz-Gutiérrez J, Martínez-González MÁ, Pons Izquierdo JJ, González-Muniesa P, Martínez JA, Bes-Rastrollo M. Living at Higher Altitude and Incidence of Overweight/Obesity: Prospective Analysis of the SUN Cohort. PLoS One. 2016;11:e0164483. doi: 10.1371/journal.pone.0164483. [Díaz-Gutiérrez J, Martínez-González MÁ, Pons Izquierdo JJ, González-Muniesa P, Martínez JA, Bes-Rastrollo M. Living at Higher Altitude and Incidence of Overweight/Obesity: Prospective Analysis of the SUN Cohort. PLoS One. 2016;11:e0164483.] [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Chung N, Park HY, Park MY, Hwang YY, Lee CH, Han JS, So J, Kim J, Park J, Lim K. Association of daily physical activity level with health-related factors by gender and age-specific differences among Korean adults based on the sixth (2014-2015) Korea national health and nutrition examination survey. J Exerc Nutr Biochem. 2017;21:30–8. doi: 10.20463/jenb.2017.0026. [Chung N, Park HY, Park MY, Hwang YY, Lee CH, Han JS, So J, Kim J, Park J, Lim K. Association of daily physical activity level with health-related factors by gender and age-specific differences among Korean adults based on the sixth (2014-2015) Korea national health and nutrition examination survey. J Exerc Nutr Biochem. 2017;21:30-8.] [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.errington de Gonzalez A, Hartge P, Cerhan JR, Flint AJ, Hannan L, MacInnis RJ, Moore SC, Tobias GS, Anton-Culver H, Freeman LB, Beeson WL, Clipp SL, English DR, Folsom AR, Freedman DM, Giles G, Hakansson N, Henderson KD, Hoffman-Bolton J, Hoppin JA, Koenig KL, Lee IM, Linet MS, Park Y, Pocobelli G, Schatzkin A, Sesso HD, Weiderpass E, Willcox BJ, Wolk A, Zeleniuch-Jacquotte A, Willett WC, Thun MJ. Body-mass index and mortality among 1.46 million white adults. N Engl J Med. 2010;363:2211–9. doi: 10.1056/NEJMoa1000367. [errington de Gonzalez A, Hartge P, Cerhan JR, Flint AJ, Hannan L, MacInnis RJ, Moore SC, Tobias GS, Anton-Culver H, Freeman LB, Beeson WL, Clipp SL, English DR, Folsom AR, Freedman DM, Giles G, Hakansson N, Henderson KD, Hoffman-Bolton J, Hoppin JA, Koenig KL, Lee IM, Linet MS, Park Y, Pocobelli G, Schatzkin A, Sesso HD, Weiderpass E, Willcox BJ, Wolk A, Zeleniuch-Jacquotte A, Willett WC, Thun MJ. Body-mass index and mortality among 1.46 million white adults. N Engl J Med. 2010;363:2211-9.] [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Catoira NP, Tapajóz F, Allegri RF, Lajfer J, Rodríguez Cámara MJ, Iturry ML, Castaño GO. Obesity, metabolic profile, and inhibition failure: Young women under scrutiny. Physiol Behav. 2016;157:87–93. doi: 10.1016/j.physbeh.2016.01.040. [Catoira NP, Tapajóz F, Allegri RF, Lajfer J, Rodríguez Cámara MJ, Iturry ML, Castaño GO. Obesity, metabolic profile, and inhibition failure: Young women under scrutiny. Physiol Behav. 2016;157:87-93.] [DOI] [PubMed] [Google Scholar]
  • 6.Fabbrini E, Klein S. Fundamentals of cardipmetabolic risk factor reduction: achieving and maintaining weight loss with pharmacotherapy or bariatric surgery. Clin Cornerstone. 2008;9:41–51. doi: 10.1016/s1098-3597(08)60027-7. [Fabbrini E, Klein S. Fundamentals of cardipmetabolic risk factor reduction: achieving and maintaining weight loss with pharmacotherapy or bariatric surgery. Clin Cornerstone. 2008;9:41-51.] [DOI] [PubMed] [Google Scholar]
  • 7.Kim KS, Park SW. Drug therapy for obesity. Korean J Obes. 2012;21:197–202. doi: 10.7570/kjo.2012.21.4.197. [Kim KS, Park SW. Drug therapy for obesity. Korean J Obes. 2012;21:197-202.] [DOI] [Google Scholar]
  • 8.Wu T, Gao X, Chen X, Van Dam RM. Long-term effectiveness of diet-plus-exercise intervention vs. diet-only interventions for weight loss: a meta-analysis. Obes Rev. 2009;10:313–23. doi: 10.1111/j.1467-789X.2008.00547.x. [Wu T, Gao X, Chen X, Van Dam RM. Long-term effectiveness of diet-plus-exercise intervention vs. diet-only interventions for weight loss: a meta-analysis. Obes Rev. 2009;10:313-23.] [DOI] [PubMed] [Google Scholar]
  • 9.American College of Sports Medicine. ACSM's guidelines for exercise testing and prescription. 9th edition. Lippincott Williams & Wilkins; 2014. [American College of Sports Medicine. ACSM's guidelines for exercise testing and prescription. 9th edition. Lippincott Williams & Wilkins. 2014.] [Google Scholar]
  • 10.Nam SS, Sunoo S, Park HY, Moon HW. The effects of long-term whole-body vibration and aerobic exercise on body composition and bone mineral density in obese middle-aged women. J Exerc Nutrition Biochem. 2016;20:19–27. doi: 10.20463/jenb.2016.06.20.2.3. [Nam SS, Sunoo S, Park HY, Moon HW. The effects of long-term whole-body vibration and aerobic exercise on body composition and bone mineral density in obese middle-aged women. J Exerc Nutrition Biochem. 2016;20:19-27.] [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Menzel K, Hilberg T. Blood coagulation and fibrinolysis in healthy, untrained subjects: effects of different exercise intensities controlled by individual anaerobic threshold. Eur J Appl Physiol. 2010;111:253–60. doi: 10.1007/s00421-010-1640-2. [Menzel K, Hilberg T. Blood coagulation and fibrinolysis in healthy, untrained subjects: effects of different exercise intensities controlled by individual anaerobic threshold. Eur J Appl Physiol. 2010;111:253-60.] [DOI] [PubMed] [Google Scholar]
  • 12.Ham JH, Park HY, Kim YH, Bae SK, Ko BH Nam SS. Development of an aerobic threshold (HRLT, HRVT) estimation equation using the heart rate threshold (HRT) during the treadmill incremental exercise test. J Exerc Nutrition Biochem. 2017;21:43–9. doi: 10.20463/jenb.2017.0016. [Ham JH., Park HY, Kim YH, Bae SK, Ko BH Nam SS. Development of an aerobic threshold (HRLT, HRVT) estimation equation using the heart rate threshold (HRT) during the treadmill incremental exercise test. J Exerc Nutrition Biochem. 2017;21:43-9.] [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Wasserman K. The anaerobic threshold measurement to evaluate exercise performance. Am Rev Respir Dis. 1984;129:S35–40. doi: 10.1164/arrd.1984.129.2P2.S35. [Wasserman K. The anaerobic threshold measurement to evaluate exercise performance. Am Rev Respir Dis. 1984;129:S35-40.] [DOI] [PubMed] [Google Scholar]
  • 14.Kim J, Park HY, Lim K. Effects of 12 weeks of combined exercise on heart rate variability and dynamic pulmonary function in obese and elderly Korean Women. Iran J Public Health. 2018;47:74–81. [Kim J, Park HY, Lim K. Effects of 12 weeks of combined exercise on heart rate variability and dynamic pulmonary function in obese and elderly Korean Women. Iran J Public Health. 2018;47:74-81.] [PMC free article] [PubMed] [Google Scholar]
  • 15.Laederach-Hofmann K, Mussgay L, Ruddel H. Autonomic cardiovascular regulation in obesity. J Endocrinol. 2000;164:59–66. doi: 10.1677/joe.0.1640059. [Laederach-Hofmann K, Mussgay L, Ruddel H. Autonomic cardiovascular regulation in obesity. J Endocrinol. 2000;164:59-66.] [DOI] [PubMed] [Google Scholar]
  • 16.Nagai N, Moritani T. Effect of physical activity on autonomic nervous system function in lean and obese children. Int J Obes Relat Metab Disord. 2004;28:27–33. doi: 10.1038/sj.ijo.0802470. [Nagai N, Moritani T. Effect of physical activity on autonomic nervous system function in lean and obese children. Int J Obes Relat Metab Disord. 2004;28:27-33.] [DOI] [PubMed] [Google Scholar]
  • 17.Park HY, Jung WS, Kim J, Lim K. Twelve weeks of exercise modality in hypoxia enhances health-related function in obese older Korean men: A randomized controlled trial. Geriatr Gerontol Int. 2019;19:311–6. doi: 10.1111/ggi.13625. [Park HY, Jung WS, Kim J, Lim K. Twelve weeks of exercise modality in hypoxia enhances health-related function in obese older Korean men: A randomized controlled trial. Geriatr Gerontol Int. 2019;19:311-6.] [DOI] [PubMed] [Google Scholar]
  • 18.Woo JM, Kim ES, Yoon HY, Choi YH. The relationship between heart rate variability and pharmacotherapy in patients with panic disorder. J Korean Neuropsychiatr Assoc. 2005;44:342–9. [Woo JM, Kim ES, Yoon HY, Choi YH. The relationship between heart rate variability and pharmacotherapy in patients with panic disorder. J Korean Neuropsychiatr Assoc. 2005;44:342-9.] [Google Scholar]
  • 19.Matsumoto T, Miyawaki C, Ue H, Kanda T, Yoshitake Y, Moritani T. Comparison of thermogenic sympathetic response to food intake between obese and non-obese young women. Obes Res. 2001;9:78–85. doi: 10.1038/oby.2001.10. [Matsumoto T, Miyawaki C, Ue H, Kanda T, Yoshitake Y, Moritani, T. Comparison of thermogenic sympathetic response to food intake between obese and non-obese young women. Obes Res. 2001;9:78-85.] [DOI] [PubMed] [Google Scholar]
  • 20.Urdampilleta A, González-Muniesa P, Portillo MP, Martínez JA. Usefulness of combining intermittent hypoxia and physical exercise in the treatment of obesity. J Physiol Biochem. 2012;68:289–304. doi: 10.1007/s13105-011-0115-1. [Urdampilleta A, González-Muniesa P, Portillo MP, Martínez JA. Usefulness of combining intermittent hypoxia and physical exercise in the treatment of obesity. J Physiol Biochem. 2012;68:289-304.] [DOI] [PubMed] [Google Scholar]
  • 21.Silva MN, Markland D, Carraça EV, Vieira PN, Coutinho SR, Minderico CS, Matos MG, Sardinha LB, Teixeira PJ. Exercise autonomous motivation predicts 3-yr weight loss in women. Med Sci Sports Exerc. 2011;43:728–37. doi: 10.1249/mss.0b013e3181f3818f. [Silva MN, Markland D, Carraça EV, Vieira PN, Coutinho SR, Minderico CS, Matos MG, Sardinha LB, Teixeira, PJ. Exercise autonomous motivation predicts 3-yr weight loss in women. Med Sci Sports Exerc. 2011;43:728-37.] [DOI] [PubMed] [Google Scholar]
  • 22.Van Dale D, Saris WH. Repetitive weight loss and weight regain: effects on weight reduction, resting metabolic rate, and lipolytic activity before and after exercise and/or diet treatment. Am J Clin Nutr. 1989;49:409–16. doi: 10.1093/ajcn/49.3.409. [Van Dale D, Saris WH. Repetitive weight loss and weight regain: effects on weight reduction, resting metabolic rate, and lipolytic activity before and after exercise and/or diet treatment. Am J Clin Nutr. 1989;49:409-16.] [DOI] [PubMed] [Google Scholar]
  • 23.Abete I, Parra MD, Zulet MA, Martinez JA. Different dietary strategies for weight loss in obesity: role of energy and macronutrient content. Nutr Res. 2006;19:5–17. doi: 10.1079/nrr2006112. [Abete I, Parra MD, Zulet MA, Martinez JA. Different dietary strategies for weight loss in obesity: role of energy and macronutrient content. Nutr Res. 2006;19:5-17.] [DOI] [PubMed] [Google Scholar]
  • 24.Jeffery RW, Wing RR, Sherwood NE, Tate DF. Physical activity and weight loss: does prescribing higher physical activity goals improve outcome? Am J Clin Nutr. 2003;78:684–9. doi: 10.1093/ajcn/78.4.684. [Jeffery RW, Wing RR, Sherwood NE, Tate DF. Physical activity and weight loss: does prescribing higher physical activity goals improve outcome? Am J Clin Nutr. 2003;78:684-9.] [DOI] [PubMed] [Google Scholar]
  • 25.Williams EP, Mesidor M, Winters K, Dubbert PM, Wyatt SB. Overweight and obesity: prevalence, consequences, and causes of a growing public health problem. Curr Obes Rep. 2015;4:363–70. doi: 10.1007/s13679-015-0169-4. [Williams EP, Mesidor M, Winters K, Dubbert PM, Wyatt SB. Overweight and obesity: prevalence, consequences, and causes of a growing public health problem. Curr Obes Rep. 2015;4:363-70.] [DOI] [PubMed] [Google Scholar]
  • 26.Koehl M, Meerlo P, Gonzales D, Rontal A, Turek FW, Abrous DN. Exercise-induced promotion of hippocampal cell proliferation requires beta-endorphin. FASEB J. 2008;22:2253–62. doi: 10.1096/fj.07-099101. [Koehl M, Meerlo P, Gonzales D, Rontal A, Turek FW, Abrous DN. Exercise-induced promotion of hippocampal cell proliferation requires beta-endorphin. FASEB J. 2008;22:2253-62.] [DOI] [PubMed] [Google Scholar]
  • 27.Davison K, Bircher S, Hill A, Coates AM, Howe PR, Buckley JD. Relationships between obesity, cardiorespiratory fitness, and cardiovascular function. J Obes. 2010;2010:191253. doi: 10.1155/2010/191253. [Davison K, Bircher S, Hill A, Coates AM, Howe PR, Buckley JD. Relationships between obesity, cardiorespiratory fitness, and cardiovascular function. J Obes. 2010;2010:191253.] [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.LaMonte MJ, Barlow CE, Jurca K, Kampert JB, Church TS, Blair SN. Cardiorespiratory fitness inversely associated with the incidence of metabolicsyndrome: a prospective study of men and women. Circulation. 2005;112:505–12. doi: 10.1161/CIRCULATIONAHA.104.503805. [LaMonte MJ, Barlow CE, Jurca K, Kampert JB, Church TS, Blair SN. Cardiorespiratory fitness inversely associated with the incidence of metabolicsyndrome: a prospective study of men and women. Circulation. 2005;112:505-12.] [DOI] [PubMed] [Google Scholar]
  • 29.Chatterjee S, Chatterjee P, Bandyopadhyay A. Validity of Queen's College Step Test for estimation of maximum oxygen uptake in female students. Indian J Med Res. 2005;121:32–5. [Chatterjee S, Chatterjee P, Bandyopadhyay A. Validity of Queen's College Step Test for estimation of maximum oxygen uptake in female students. Indian J Med Res. 2005;121:32-5.] [PubMed] [Google Scholar]
  • 30.Acharya UR, Joseph KP, Kannathal N, Lim CM, Suri JS. Heart rate variability: a review. Med Biol Eng Comput. 2006;44:1031–51. doi: 10.1007/s11517-006-0119-0. [Acharya UR, Joseph KP, Kannathal N, Lim CM, Suri JS. Heart rate variability: a review. Med Biol Eng Comput. 2006;44:1031-51.] [DOI] [PubMed] [Google Scholar]
  • 31.Xhyheri B, Manfrini O, Mazzolini M, Pizzi C, Bugiardini R. Heart rate variability today. Prog Cardiovasc Dis. 2012;55:321–31. doi: 10.1016/j.pcad.2012.09.001. [Xhyheri B, Manfrini O, Mazzolini M, Pizzi C, Bugiardini R. Heart rate variability today. Prog Cardiovasc Dis. 2012;55:321-31.] [DOI] [PubMed] [Google Scholar]
  • 32.Myrtek M, Weber D, Brügner G, Müller W. Occupational stress and strain of female students: results of physiological, behavioral, and psychological monitoring. Biol Psychol. 1996;42:379–91. doi: 10.1016/0301-0511(95)05168-6. [Myrtek M, Weber D, Brügner G, Müller W. Occupational stress and strain of female students: results of physiological, behavioral, and psychological monitoring. Biol Psychol. 1996;42:379-91.] [DOI] [PubMed] [Google Scholar]
  • 33.Dulleck U, Ristl A, Schaffner M. Heart rate variability, the autonomic nervous system, and neuroeconomic experiments. J Neurosci Psychol Econ. 2011;4:117–24. doi: 10.1037/a0022245. [Dulleck U, Ristl A, Schaffner M. Heart rate variability, the autonomic nervous system, and neuroeconomic experiments. J Neurosci Psychol Econ. 2011;4:117-24.] [DOI] [Google Scholar]
  • 34.Park KJ, Jeong H. Assessing methods of heart rate variability. Korean J Clin Neurophysiol. 2014;16:49–54. doi: 10.14253/kjcn.2014.16.2.49. [Park KJ, Jeong H. Assessing methods of heart rate variability. Korean J Clin Neurophysiol. 2014;16:49-54.] [DOI] [Google Scholar]

Articles from Journal of Exercise Nutrition & Biochemistry are provided here courtesy of Korean Society for Exercise Nutrition

RESOURCES