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. 2018 Jul 31;10(9):728–731. doi: 10.14740/jocmr3510w

Habit of Bathing or Showering Is Beneficially Associated With Body Weight and Abdominal Circumference in Patients With Type 2 Diabetes

Hisayuki Katsuyama a, Hidetaka Hamasaki a,b, Hidekatsu Yanai a,c
PMCID: PMC6089579  PMID: 30116445

To the Editor

Non-exercise activity thermogenesis (NEAT) is the energy expenditure of all physical activities other than sporting-like exercise, and includes daily physical activities such as working, taking a bath and dancing [1]. We developed the original questionnaire to evaluate NEAT in Japanese people, based on 2011 Compendium of Physical Activities produced by American College of Sports Medicine [2], by considering Japanese life-style, habits and culture [3]. The questionnaire consisted of 11 question items about locomotive activities such as waling and 25 question items about non-locomotive activities such as housekeeping and occupational activities [3]. We evaluated each questionnaire item with a score of 1 - 3 points in order of levels of daily physical activity and then added up the scores to determine the NEAT score. The validity of our NEAT score was confirmed by the triaxial accelerometer [4].

We previously reported that higher NEAT score was beneficially associated with insulin resistance, abdominal circumference, serum lipids, glucose metabolism, blood pressure, and the degree of diabetic nephropathy and diabetic neuropathy, in patients with type 2 diabetes [3, 5, 6].

Frequent bathing is a characteristic habit of Japanese people. Therefore, our NEAT questionnaires include the item about taking a bath or shower [3]. The question item No. 33 of NEAT score asks you “How often do you take a bath (or shower)?” If you answer “A lot (once or more a day)”, you can get 3 points. If you answer “Sometimes (once or more a week)”, you can get 2 points. If you answer “Hardly ever”, you can get only one point.

To understand a significance of habit of bathing or showering on metabolic parameters, we retrospectively studied a difference in metabolic parameters between patients who obtained 3 points and patients who obtained 1 - 2 points in the item of taking a bath (shower) of NEAT score in patients with type 2 diabetes. Furthermore, we studied the correlation between points in the item of taking a bath (shower) of NEAT score and metabolic parameters. Comparison between two groups was analyzed by the Student’s t-test and chi-squared test, and correlation was analyzed by the Spearman’s rank correlation. This study was approved by the Institutional Ethics Committee in National Center for Global Health and Medicine, and was also performed in accordance with the Declaration of Helsinki.

We found 87 eligible patients, whose clinical characteristics and metabolic parameters were shown in Table 1. A difference in metabolic parameters between patients who obtained 3 points and patients who obtained 1 - 2 points in the question item of taking a bath (shower) of NEAT score among all subjects was shown in Table 2. Body weight and abdominal circumference were significantly lower in patients who obtained 3 points than in patients who obtained 1 - 2 points. Total NEAT score was significantly higher in patients who obtained 3 points than in patients who obtained 1 - 2 points. Prevalence of mental disorders was significantly lower in patients who obtained 3 points than in patients who obtained 1 - 2 points. The points in the item of taking a bath (shower) of NEAT score were significantly and positively correlated with total NEAT score and negatively correlated with abdominal circumference in all subjects (Table 3).

Table 1. Clinical Characteristics and Metabolic Parameters of Subjects (n = 87).

Sex (male/female) 44/43
Age (years) 62.3 ± 14.0
Body height (cm) 160 ± 9
Body weight (kg) 71.4 ± 11.8
Body mass index (kg/m2) 24.9 ± 5.4
Abdominal circumference (cm) 90.6 ± 13.0
Plasma glucose (mg/dL) 182 ± 88
HbA1c (%) 7.5 ± 1.7
HDL-C (mg/dL) 51 ± 13
LDL-C (mg/dL) 122 ± 31
TG (mg/dL) 165 ± 88
Oral anti-diabetic drugs (n, %) 39 (45%)
Insulin therapy (n, %) 8 (9%)
Mental disorders (n, %) 28 (32%)

Table 2. A Difference in Metabolic Parameters Between Patients Who Obtained 3 Points and Patients Who Obtained 1 - 2 Points in the Item of Taking a Bath (Shower) of NEAT Score Among All Subjects.

Score of taking a bath (shower) 3 points 1, 2 points P values
n 57
Male/female, 30/27
30
Male/female, 14/16
Age (years) 63.4 ± 14.9 62.3 ± 9.2 0.310
Body weight (kg) 60.4 ± 15.6 68.2 ± 15.1 0.040
Body mass index (kg/m2) 24.2 ± 5.0 26.5 ± 6.0 0.075
Abdominal circumference (cm) 87.9 ± 11.8 96.5 ± 13.5 0.016
Total NEAT score 62.3 ± 9.2 50.5 ± 9.8 < 0.001
Plasma glucose (mg/dL) 182 ± 84 183 ± 96 0.951
HbA1c (%) 7.6 ± 1.7 7.2 ± 1.5 0.309
HDL-C (mg/dL) 53 ± 14 49 ± 9 0.186
LDL-C (mg/dL) 123 ± 30 120 ± 32 0.662
TG (mg/dL) 161 ± 87 175 ± 89 0.475
Mental disorders (n, %) 13 (23%) 15 (50%) 0.009

Table 3. Correlation Between Points in the Item of Taking a Bath (Shower) of NEAT Score and Metabolic Parameters Among All Subjects.

Correlation coefficients P values
Age 0.148 0.171
Total NEAT score 0.520 < 0.001
Body weight -0.189 0.087
Body mass index -0.176 0.112
Abdominal circumference -0.328 0.009
Plasma glucose 0.030 0.783
HbA1c 0.121 0.266
HDL-C 0.137 0.216
LDL-C 0.006 0.959
TG -0.079 0.470

Body weight, body mass index and abdominal circumference were significantly lower in patients who obtained 3 points than in patients who obtained 1 - 2 points in female subjects (Table 4). Total NEAT score was significantly higher in patients who obtained 3 points than in patients who obtained 1 - 2 points. The points in the item of taking a bath (shower) of NEAT score were significantly and positively correlated with total NEAT score and negatively correlated with abdominal circumference in female subjects (Table 5). There were no significant differences in any metabolic parameters between patients who obtained 3 points and patients who obtained 1 - 2 points in male subjects.

Table 4. A Difference in Metabolic Parameters Between Patients Who Obtained 3 Points and Patients Who Obtained 1 - 2 Points in the Item of Taking a Bath (Shower) of NEAT Score Among Female Subjects (n = 43).

Score of taking a bath (shower) 3 points 1, 2 points P values
n 27 16
Age (years) 63.2 ± 17.7 57.6 ± 12.1 0.276
Body weight (kg) 58.6 ± 14.6 69.6 ± 17.2 0.039
Body mass index (kg/m2) 25.0 ± 5.5 28.9 ± 6.05 0.050
Abdominal circumference (cm) 90.6 ± 9.1 104.6 ± 9.8 < 0.001
Total NEAT score 78.3 ± 9.3 64.8 ± 10.1 < 0.001
Plasma glucose (mg/dL) 170 ± 72 167 ± 62 0.895
HbA1c (%) 7.5 ± 1.5 7.2 ± 1.3 0.592
HDL-C (mg/dL) 57 ± 16 48 ± 8 0.066
LDL-C (mg/dL) 121 ± 30 128 ± 35 0.503
TG (mg/dL) 162 ± 92 194 ± 79 0.276
Mental disorders (n, %) 9 (33%) 10 (63%) 0.063

Table 5. Correlation Between Points in the Item of Taking a Bath (Shower) of NEAT Score and Metabolic Parameters Among Female Subjects.

Correlation coefficients P values
Age 0.214 0.168
Total NEAT score 0.610 < 0.001
Body weight -0.244 0.119
Body mass index -0.232 0.139
Abdominal circumference -0.570 0.001
Plasma glucose 0.087 0.585
HbA1c 0.111 0.478
HDL-C 0.261 0.095
LDL-C -0.148 0.345
TG -0.150 0.336

Abdominal circumference was significantly lower in patients who obtained 3 points than in patients who obtained 1 - 2 points in female subjects who had not taken oral anti-diabetic drugs and insulin therapy (Table 6). Total NEAT score was significantly higher in patients who obtained 3 points than in patients who obtained 1 - 2 points. The points in the item of taking a bath (shower) of NEAT score were significantly and positively correlated with total NEAT score and negatively correlated with abdominal circumference in female subjects who had not taken oral anti-diabetic drugs and insulin therapy (Table 7).

Table 6. A Difference in Metabolic Parameters Between Patients Who Obtained 3 Points and Patients Who Obtained 1 - 2 Points in the Item of Taking a Bath (Shower) of NEAT Score Among Female Subjects Who Had Not Taken Oral Anti-Diabetic Drugs and Insulin Therapy (n = 22).

Score of taking a bath (shower) 3 points 1, 2 points P values
n 12 10
Age (years) 61.3 ± 17.9 58.0 ± 13.3 0.807
Body weight (kg) 59.5 ± 14.9 70.1 ± 20.4 0.268
Body mass index (kg/m2) 25.4 ± 6.0 29.3 ± 7.7 0.285
Abdominal circumference (cm) 90.1 ± 11.0 105.4 ± 10.8 0.034
Total NEAT score 63.1 ± 7.0 51.0 ± 8.6 0.005
Plasma glucose (mg/dL) 178 ± 68 166 ± 74 0.639
HbA1c (%) 7.6 ± 1.4 7.2 ± 1.5 0.470
HDL-C (mg/dL) 61 ± 16 47 ± 8 0.062
LDL-C (mg/dL) 139 ± 33 128 ± 32 0.455
TG (mg/dL) 164 ± 102 212 ± 82 0.391
Mental disorders (n, %) 5 (24%) 8 (80%) 0.069

Table 7. Correlation Between Points in the Item of Taking a Bath (Shower) of NEAT Score and Metabolic Parameters Among Female Subjects Who Had Not Taken Oral Anti-Diabetic Drugs and Insulin Therapy.

Correlation coefficients P values
Age 0.131 0.562
Total NEAT score 0.637 0.010
Body weight -0.158 0.482
Body mass index -0.127 0.574
Abdominal circumference -0.562 0.023
Plasma glucose 0.167 0.458
HbA1c 0.186 0.407
HDL-C 0.363 0.097
LDL-C 0.185 0.409
TG -0.219 0.327

The present study showed that habit of bathing or showering is beneficially associated with body weight and abdominal circumference in patients with type 2 diabetes, especially, in female patients. Even after the exclusion of influences of anti-diabetic treatments, these beneficial effects of habit of bathing or showering on abdominal circumference remained in female subjects. However, these beneficial effects of habit of bathing or showering were not observed in male subjects. The same discrepancy between men and women was observed in previous studies [3, 5]. Briefly, the NEAT score was negatively correlated with waist circumference and positively correlated with high-density lipoprotein (HDL)-C levels in only women [3]. The NEAT score was significantly and negatively correlated with urinary albumin creatinine ratio (UACR) and positively correlated with coefficient of variation of R-R intervals (CVRR) in only women [5]. Any favorable effects of NEAT score on waist circumference, HDL-C, UACR and CVRR were not observed in male patients with type 2 diabetes [3, 5]. We thought that this discrepancy between men and women was due to that the NEAT score included many activities which are mainly performed by women. However, this hypothesis cannot explain present result.

In this study, the points in the item of taking a bath (shower) of NEAT score were significantly and positively correlated with total NEAT score, suggesting that the points in the item of taking a bath may reflect total NEAT score very well. The points in the item of taking a bath of NEAT score were significantly and negatively correlated with abdominal circumference in female subjects, indicating that taking a bath itself may be beneficially associated with abdominal circumference. Each activity included in the NEAT score may give a greater influence on metabolic parameters in women than in men.

Although the evidence on effects of bathing on metabolic parameters is very limited, we cannot deny the possibility that bathing directly improved body weight and abdominal circumference. The physical activity intensity of bathing is 1.5 metabolic equivalents (METs). A 50 kg-person who takes a bath for 30 min every day consumes more energy as compared with the same weighted person who takes a bath once a week, by approximately 236.25 kcal/week. Shimodozono et al reported that leptin significantly increased after a single warm-water bath, and adiponectin showed a slight, but not significant, increase after a single warm-water bath [7]. Thermal therapy such as sauna was suggested to be a promising therapy for patients with lifestyle-related diseases [8].

This study presents one more interesting fact that patients with mental disorders are unlikely to take a bath. We previously reported that NEAT is significantly lower in type 2 diabetic patients with mental disorders than in those without mental disorders [9]. These results suggest that the intervention to each item in the NEAT score may be useful to manage metabolic disorders in patients with mental disorders.

In conclusion, the grasp of the bathing habit is useful to consider the daily physical activities and the influence of lifestyle habits on metabolic abnormalities.

Conflict of Interest

The authors declare that they have no conflicts of interest concerning this article.

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