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Longlalerng K, Watanasiripakdee S, Jeenduang N, Habuddha V, Piya-amornphan N, Damchuai T. Home-Based Aerobic Interval Training Combined with Resistance Training Improved Daytime Dysfunction in Adults with Obesity and Sleep-Disordered Breathing. Sleep Sci 2024; 17:e117-e124. [PMID: 38846585 PMCID: PMC11152638 DOI: 10.1055/s-0043-1777708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 08/02/2023] [Indexed: 06/09/2024] Open
Abstract
Introduction There have been many barriers to exercising at a gym due to the coronavirus disease 2019 (COVID-19) pandemic worldwide. Home-based aerobic interval training (AIT) combined with resistance training (RT) may be helpful for obese adults with sleep-disordered breathing (SDB) to overcome those barriers and improve their subjective sleep disorders. Thus, the present study aimed to examine the effects of home-based AIT combined with RT on subjective sleep disorders in obese adults with SDB. Material and Methods This study has a one-group pretest-posttest design. Twenty-one adults with obesity and SDB were assigned to perform 8 weeks of AIT combined with RT. Subjective sleep disorder variables including the Pittsburgh Sleep Quality Index (PSQI), Berlin Questionnaire, and Epworth Sleepiness Scale were defined as primary outcomes. Anthropometric variables, physical fitness components, and blood biomarkers were assigned as secondary outcomes. All outcome measurements were examined at baseline and after 8 weeks of training. Results Daytime dysfunction of PSQI was significantly improved after 8 weeks of the exercise program ( p < 0.05). Upper and lower chest expansion and estimated maximum oxygen consumption were significantly increased after 8 weeks of the exercise program (all p < 0.05). None of the blood biomarkers changed after 8 weeks of training. Conclusion This study suggests that home-based AIT combined with RT effectively alleviates daytime dysfunction and seems to be more helpful in improving global PSQI in adults with obesity. Future studies with a larger sample size, under a controlled trial are recommended to prove the benefits of the exercise program.
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Affiliation(s)
- Khomkrip Longlalerng
- Department of Physical Therapy, Walailak University, Thasala District, Nakhon Si Thammarat, Thailand
- Movement Science and Exercise Research Center-Walailak University (MoveSE-WU), Walailak University, Thasala District, Nakhon Si Thammarat, Thailand
| | - Siripan Watanasiripakdee
- Department of Pulmonary Medicine and Critical Care, Maharaj Nakhon Si Thammarat Hospital, Thasala District, Nakhon Si Thammarat, Thailand
| | - Nutjaree Jeenduang
- Medical Technology, Walailak University, Thasala District, Nakhon Si Thammarat, Thailand
| | - Valainipha Habuddha
- Department of Physical Therapy, Walailak University, Thasala District, Nakhon Si Thammarat, Thailand
- Movement Science and Exercise Research Center-Walailak University (MoveSE-WU), Walailak University, Thasala District, Nakhon Si Thammarat, Thailand
| | - Nitita Piya-amornphan
- Department of Physical Therapy, Walailak University, Thasala District, Nakhon Si Thammarat, Thailand
- Movement Science and Exercise Research Center-Walailak University (MoveSE-WU), Walailak University, Thasala District, Nakhon Si Thammarat, Thailand
| | - Tipwamol Damchuai
- Department of Physical Therapy, Maharaj Nakhon Si Thammarat Hospital, Thasala District, Nakhon Si Thammarat, Thailand
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Berdina ON, Madaeva IM, Bolshakova SE, Tsykunova MV, Sholokhov LF, Rashidova MA, Bugun OV, Rychkova LV. Circadian Melatonin Secretion In Obese Adolescents With Or Without Obstructive Sleep Apnea. RUSSIAN OPEN MEDICAL JOURNAL 2020. [DOI: 10.15275/rusomj.2020.0402] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
Objective — To compare melatonin levels in saliva during a 24-hr day in order to identify the specificities of circadian melatonin secretion in obese adolescents with or without obstructive sleep apnea (OSA). Material and Methods — We examined 18 obese adolescents with OSA, 12 obese adolescents without OSA, and 15 healthy adolescents with a normal body weight, from whom saliva was sampled four time during the 24-hr day. Polysomnography was used to diagnose OSA. Saliva samples (n=180) were subjected to enzyme-linked immunosorbent assay. Results — Obese adolescents with OSA had higher evening melatonin levels than obese adolescents without OSA. For example, this indicator in OSA patients was 5.3 times higher than in participants without OSA, who had the lowest evening melatonin level among all groups. In both obese groups, nighttime melatonin levels were significantly lower than in the control group. A positive correlation was detected between the levels of morning and afternoon melatonin and body mass index only in obese adolescents without OSA (r=0.58; p=0.03 and r=0.68; p=0.01, respectively). It was found that evening melatonin correlated with minimum blood oxygen saturation (SaO2) in the entire sample of adolescents with OSA (r=-0.69; p=0.008), and it also correlated with time with SaO2 <90% in the group with clinical manifestations of OSA (r=0.76; p=0.003). Nighttime melatonin levels negatively correlated with the minimum SaO2 value solely in the group with clinical manifestations of OSA (r=-0.58; p=0.035). Conclusion — The circadian melatonin secretion in obese adolescents differed, depending on the presence or absence of OSA, and correlated with the level of oxygen desaturation in OSA patients, to a greater extent – in the presence of clinical manifestations.
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Affiliation(s)
- Olga N. Berdina
- Scientific Centre for Family Health and Human Reproduction Problems
| | - Irina M. Madaeva
- Scientific Centre for Family Health and Human Reproduction Problems
| | | | - Maria V. Tsykunova
- Clinic of Scientific Centre for Family Health and Human Reproduction Problems
| | | | | | - Olga V. Bugun
- Scientific Centre for Family Health and Human Reproduction Problems
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Matsumoto T, Murase K, Tabara Y, Minami T, Kanai O, Takeyama H, Takahashi N, Hamada S, Tanizawa K, Wakamura T, Komenami N, Setoh K, Kawaguchi T, Tsutsumi T, Morita S, Takahashi Y, Nakayama T, Hirai T, Matsuda F, Chin K. Sleep disordered breathing and metabolic comorbidities across sex and menopausal status in East Asians: the Nagahama Study. Eur Respir J 2020; 56:13993003.02251-2019. [DOI: 10.1183/13993003.02251-2019] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2019] [Accepted: 04/20/2020] [Indexed: 01/07/2023]
Abstract
It is well known that the prevalence of sleep disordered breathing (SDB) is increased in patients with obesity or metabolic comorbidities. However, the way in which the prevalence of SDB increases in relation to comorbidities according to the severity of obesity remains unclear.This cross-sectional study evaluated 7713 community participants using nocturnal oximetry ≥2 nights. SDB was assessed by the 3% oxygen desaturation index corrected for sleep duration obtained by wrist actigraphy (acti-ODI3%). SDB severity was defined by acti-ODI3%. Obesity was defined as body mass index ≥25 kg·m−2.The prevalence of SDB was 41.0% (95% CI 39.9–42.1%), 46.9% (45.8–48.0%), 10.1% (9.5–10.8%) and 2.0% (1.7–2.3%) in normal, mild, moderate and severe SDB, respectively, with notable sex differences evident (males>post-menopausal females>premenopausal females). Comorbidities such as hypertension, diabetes and metabolic syndrome were independently associated with the prevalence of moderate-to-severe SDB, and coincidence of any one of these with obesity was associated with a higher probability of moderate-to-severe SDB (hypertension OR 8.2, 95% CI 6.6–10.2; diabetes OR 7.8, 95% CI 5.6–10.9; metabolic syndrome OR 6.7, 95% CI 5.2–8.6). Dyslipidaemia in addition to obesity was not additively associated with the prevalence of moderate-to-severe SDB. The number of antihypertensive drugs was associated with SDB (p for trend <0.001). Proportion of a high cumulative percentage of sleep time with oxygen saturation measured by pulse oximetry <90% increased, even among moderate-to-severe SDB with increases in obesity.Metabolic comorbidities contribute to SDB regardless of the degree of obesity. We should recognise the extremely high prevalence of moderate-to-severe SDB in patients with obesity and metabolic comorbidities.
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Fukushima K, Harada S, Takeuchi A, Kurihara A, Iida M, Fukai K, Kuwabara K, Kato S, Matsumoto M, Hirata A, Akiyama M, Tomita M, Hirayama A, Sato A, Suzuki C, Sugimoto M, Soga T, Sugiyama D, Okamura T, Takebayashi T. Association between dyslipidemia and plasma levels of branched-chain amino acids in the Japanese population without diabetes mellitus. J Clin Lipidol 2019; 13:932-939.e2. [PMID: 31601483 DOI: 10.1016/j.jacl.2019.09.002] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2019] [Revised: 07/10/2019] [Accepted: 09/04/2019] [Indexed: 12/18/2022]
Abstract
BACKGROUND Branched-chain amino acids (BCAAs) play a key role in energy homeostasis. OBJECTIVE We aimed to investigate the association between plasma BCAA levels and dyslipidemia in the Japanese population without diabetes mellitus. METHODS This cross-sectional study included 4952 participants without diabetes mellitus, enrolled in the Tsuruoka Metabolomic Cohort Study. Plasma BCAA levels were measured by capillary electrophoresis-mass spectrometry. Correlations between lipid and BCAA profiles were evaluated by sex-stratified multiple linear regression analyses, after adjusting for confounders. Logistic regression was used to identify associations between BCAAs and metabolic dyslipidemia (MD) defined as triglyceride levels ≥150 mg/dL, high-density lipoprotein cholesterol levels ≤40 mg/dL for men and ≤50 mg/dL for women, or low-density lipoprotein cholesterol (LDL-C) levels ≥140 mg/dL. RESULTS In both sexes, the levels of individual BCAAs and the total BCAA levels correlated positively with triglyceride levels and negatively with high-density lipoprotein cholesterol levels. Valine, leucine, and total BCAA levels were weakly and positively correlated with LDL-C levels. Increased BCAA levels showed positive associations with MD. However, associations between BCAAs and elevated LDL-C levels were unclear. Furthermore, the associations between BCAA levels and MD regardless of fasting blood sugar (FBS) levels (high or low). Although valine, leucine, and total BCAA levels were weakly associated with elevated LDL-C levels in the high-FBS group, no such association was observed in the low-FBS group. CONCLUSIONS BCAAs might be associated with MD independently of the FBS level and might play an important role in lipid metabolism and dyslipidemia.
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Affiliation(s)
- Keiko Fukushima
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Sinjuku-ku, Tokyo, Japan; Department of Cardiology, Tokyo Women's Medical University, Sinjuku-ku, Tokyo, Japan; Student Health Care Center, Tokyo Women's Medical University, Sinjuku-ku, Tokyo, Japan
| | - Sei Harada
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Sinjuku-ku, Tokyo, Japan; Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan
| | - Ayano Takeuchi
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Sinjuku-ku, Tokyo, Japan
| | - Ayako Kurihara
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Sinjuku-ku, Tokyo, Japan; Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan
| | - Miho Iida
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Sinjuku-ku, Tokyo, Japan
| | - Kota Fukai
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Sinjuku-ku, Tokyo, Japan
| | - Kazuyo Kuwabara
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Sinjuku-ku, Tokyo, Japan
| | - Suzuka Kato
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Sinjuku-ku, Tokyo, Japan
| | - Minako Matsumoto
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Sinjuku-ku, Tokyo, Japan
| | - Aya Hirata
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Sinjuku-ku, Tokyo, Japan
| | - Miki Akiyama
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan; Faculty of Environment and Information Studies, Keio University, Fujisawa, Kanagawa, Japan
| | - Masaru Tomita
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan; Faculty of Environment and Information Studies, Keio University, Fujisawa, Kanagawa, Japan
| | - Akiyoshi Hirayama
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan
| | - Asako Sato
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan
| | - Chizuru Suzuki
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan
| | - Masahiro Sugimoto
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan
| | - Tomoyoshi Soga
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan; Faculty of Environment and Information Studies, Keio University, Fujisawa, Kanagawa, Japan
| | - Daisuke Sugiyama
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Sinjuku-ku, Tokyo, Japan
| | - Tomonori Okamura
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Sinjuku-ku, Tokyo, Japan
| | - Toru Takebayashi
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Sinjuku-ku, Tokyo, Japan; Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan; Graduate School of Health Management, Keio University, Fujisawa, Kanagawa, Japan.
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