nach oben

Erschienen in:

06.08.2021 | Sleep Breathing Physiology and Disorders • Original Article

Predictors of weight loss in obese patients with obstructive sleep apnea

verfasst von: Thomas J. Altree, Delwyn J. Bartlett, Nathaniel S. Marshall, Camilla M. Hoyos, Craig L. Phillips, Callum Birks, Aran Kanagaratnam, Anna Mullins, Yasmina Serinel, Keith K. H. Wong, Brendon J. Yee, Ronald R. Grunstein, Elizabeth A. Cayanan

Erschienen in: Sleep and Breathing | Ausgabe 2/2022

Einloggen, um Zugang zu erhalten

Abstract

Purpose

Consistent predictors of weight loss outcomes with very low-energy diets (VLEDs) in obstructive sleep apnea (OSA) have not been identified. This study aimed to identify variables predictive of weight loss success in obese patients with OSA undertaking an intensive weight loss programme.

Methods

We analysed biological, psychological, and behavioural variables as potential predictors of weight loss in obese patients with OSA after a 2-month VLED followed by one of two 10-month weight loss maintenance diets. Actigraphy, in-lab polysomnography, urinary catecholamines, and various psychological and behavioural variables were measured at baseline, 2, and 12 months. Spearman’s correlations analysed baseline variables with 2-month weight loss, and 2-month variables with 2–12 month-weight change.

Results

Forty-two patients completed the VLED and thirty-eight completed the maintenance diets. Actigraphy data revealed that late bedtime (r_s = − 0.45, p = < 0.01) was correlated with 2-month weight loss. The change in the time that participants got out of bed (rise-time) from baseline to two months was also correlated with 2-month weight loss (r_s = 0.36, p = 0.03). The Impact of Weight on Quality of Life-Lite questionnaire (IWQOL) Public Distress domain (r_s = − 0.54, p = < 0.01) and total (r_s = − 0.38, p = 0.02) scores were correlated with weight loss maintenance from 2 to 12 months.

Conclusions

Results from this small patient sample reveal correlations between actigraphy characteristics and weight loss in obese patients with OSA. We suggest the IWQOL may also be a useful clinical tool to identify OSA patients at risk of weight regain after initial weight loss.

Clinical trial registration

This clinical trial was prospectively registered on 18/02/2013 with the Australia and New Zealand Clinical Trials Registry (ACTRN12613000191796).

Public Registry Title

Sleep, Lifestyle, Energy, Eating, Exercise Program for the management of sleep apnea patients indicated for weight loss treatment: A randomised, controlled pilot study.

URL

https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=363680

Nur mit Berechtigung zugänglich

Newman AB, Foster G, Givelber R, Nieto FJ, Redline S, Young T (2005) Progression and regression of sleep-disordered breathing with changes in weight: the Sleep Heart Health Study. Arch Intern Med 165:2408–2413PubMedCrossRef

Ford ES, Cooper RS (1991) Risk factors for hypertension in a national cohort study. Hypertension 18:598–606PubMedCrossRef

Rimm EB, Stampfer MJ, Giovannucci E et al (1995) Body size and fat distribution as predictors of coronary heart disease among middle-aged and older US men. Am J Epidemiol 141:1117–1127PubMedCrossRef

Hudgel DW, Patel SR, Ahasic AM et al (2018) The role of weight management in the treatment of adult obstructive sleep apnea. An Official American Thoracic Society Clinical Practice Guideline. Am J Respir Crit Care Med 198:e70–e87PubMedCrossRef

Fernandes JF, Araujo Lda S, Kaiser SE, Sanjuliani AF, Klein MR (2015) The effects of moderate energy restriction on apnoea severity and CVD risk factors in obese patients with obstructive sleep apnoea. Br J Nutr 114:2022–2031PubMedCrossRef

Smith PL, Gold AR, Meyers DA, Haponik EF, Bleecker ER (1985) Weight loss in mildly to moderately obese patients with obstructive sleep apnea. Ann Intern Med 103:850–855PubMedCrossRef

Tuomilehto HP, Seppa JM, Partinen MM et al (2009) Lifestyle intervention with weight reduction: first-line treatment in mild obstructive sleep apnea. Am J Respir Crit Care Med 179:320–327PubMedCrossRef

Pasman WJ, Saris WH, Westerterp-Plantenga MS (1999) Predictors of weight maintenance. Obes Res 7:43–50PubMedCrossRef

Sumithran P, Purcell K, Kuyruk S, Proietto J, Prendergast LA (2018) Combining biological and psychosocial baseline variables did not improve prediction of outcome of a very-low-energy diet in a clinic referral population. Clin Obes 8:30–38PubMedCrossRef

10.

Handjieva-Darlenska T, Handjiev S, Larsen TM et al (2010) Initial weight loss on an 800-kcal diet as a predictor of weight loss success after 8 weeks: the Diogenes study. Eur J Clin Nutr 64:994–999PubMedCrossRef

11.

Linde JA, Jeffery RW, Finch EA, Ng DM, Rothman AJ (2004) Are unrealistic weight loss goals associated with outcomes for overweight women? Obes Res 12:569–576PubMedCrossRef

12.

Fabricatore AN, Wadden TA, Moore RH, Butryn ML, Heymsfield SB, Nguyen AM (2009) Predictors of attrition and weight loss success: results from a randomized controlled trial. Behav Res Ther 47:685–691PubMedPubMedCentralCrossRef

13.

Vogels N, Diepvens K, Westerterp-Plantenga MS (2005) Predictors of long-term weight maintenance. Obes Res 13:2162–2168PubMedCrossRef

14.

Teixeira PJ, Going SB, Sardinha LB, Lohman TG (2005) A review of psychosocial pre-treatment predictors of weight control. Obes Rev 6:43–65PubMedCrossRef

15.

Zhu B, Shi C, Park CG, Zhao X, Reutrakul S (2019) Effects of sleep restriction on metabolism-related parameters in healthy adults: a comprehensive review and meta-analysis of randomized controlled trials. Sleep Med Rev 45:18–30PubMedCrossRef

16.

Ogilvie RP, Patel SR (2017) The epidemiology of sleep and obesity. Sleep Health 3:383–388PubMedPubMedCentralCrossRef

17.

Shechter A (2017) Obstructive sleep apnea and energy balance regulation: a systematic review. Sleep Med Rev 34:59–69PubMedCrossRef

18.

Kline CE, Chasens ER, Bizhanova Z et al (2021) The association between sleep health and weight change during a 12-month behavioral weight loss intervention. Int J Obes (Lond) 45:639–649CrossRef

19.

Simpson SJ, Raubenheimer D (2005) Obesity: the protein leverage hypothesis. Obes Rev 6:133–142PubMedCrossRef

20.

Cayanan EA, Marshall NS, Hoyos CM et al (2018) Maintenance diets following rapid weight loss in obstructive sleep apnea: a pilot 1-year clinical trial. J Sleep Res 27:244–251PubMedCrossRef

21.

Moroshko I, Brennan L, O’Brien P (2011) Predictors of dropout in weight loss interventions: a systematic review of the literature. Obes Rev 12:912–934PubMedCrossRef

22.

Sasaki N, Fujiwara S, Yamashita H et al (2018) Association between obesity and self-reported sleep duration variability, sleep timing, and age in the Japanese population. Obes Res Clin Pract 12:187–194PubMedCrossRef

23.

Asarnow LD, McGlinchey E, Harvey AG (2015) Evidence for a possible link between bedtime and change in body mass index. Sleep 38:1523–1527PubMedPubMedCentralCrossRef

24.

Baron KG, Reid KJ, Kern AS, Zee PC (2011) Role of sleep timing in caloric intake and BMI. Obesity 19:1374–1381PubMedCrossRef

25.

Teixeira PJ, Going SB, Houtkooper LB et al (2004) Pretreatment predictors of attrition and successful weight management in women. Int J Obes Relat Metab Disord 28:1124–1133PubMedCrossRef

26.

Teixeira PJ, Going SB, Houtkooper LB et al (2002) Weight loss readiness in middle-aged women: psychosocial predictors of success for behavioral weight reduction. J Behav Med 25:499–523PubMedCrossRef

27.

Shechter A, St-Onge M-P, Kuna ST et al (2014) Sleep architecture following a weight loss intervention in overweight and obese patients with obstructive sleep apnea and type 2 diabetes: relationship to apnea-hypopnea index. J Clin Sleep Med 10:1205–1211PubMedPubMedCentralCrossRef

28.

Koolhaas CM, Kocevska D, Te Lindert BHW et al (2019) Objectively measured sleep and body mass index: a prospective bidirectional study in middle-aged and older adults. Sleep Med 57:43–50PubMedCrossRef

29.

Carlson JT, Hedner J, Elam M, Ejnell H, Sellgren J, Wallin BG (1993) Augmented resting sympathetic activity in awake patients with obstructive sleep apnea. Chest 103:1763–1768PubMedCrossRef

30.

Coy TV, Dimsdale JE, Ancoli-Israel S, Clausen J (1996) Sleep apnoea and sympathetic nervous system activity: a review. J Sleep Res 5:42–50PubMedCrossRef

31.

Marrone O, Salvaggio A, Bue AL et al (2011) Blood pressure changes after automatic and fixed CPAP in obstructive sleep apnea: relationship with nocturnal sympathetic activity. Clin Exp Hypertens 33:373–380PubMedCrossRef

32.

Carraça EV, Santos I, Mata J, Teixeira PJ (2018) Psychosocial pretreatment predictors of weight control: a systematic review update. Obes Facts 11:67–82PubMedPubMedCentralCrossRef

33.

Ware JE Jr, Sherbourne CD (1992) The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Med Care 30:473–483PubMedCrossRef

34.

Weaver TE, Laizner AM, Evans LK et al (1997) An instrument to measure functional status outcomes for disorders of excessive sleepiness. Sleep 20:835–843PubMedCrossRef

35.

Kolotkin RL, Crosby RD (2002) Psychometric evaluation of the impact of weight on quality of life-lite questionnaire (IWQOL-lite) in a community sample. Qual Life Res 11:157–171PubMedCrossRef

36.

Johns MW (1991) A new method for measuring daytime sleepiness: the Epworth sleepiness scale. Sleep 14:540–545PubMedCrossRef

37.

Lovibond SH, Lovibond PF (1995) Manual for the depression anxiety stress scales. Psychology Foundation of Australia, Sydney

38.

Schwarzer R, Jerusalem M (1995) Generalized self-efficacy scale. In: Weinman J, Wright S, Johnston M (eds) Measures in health psychology: a user’s portfolio. Causal and control beliefs. NFER-NELSON, Windsor, pp 35–77

39.

Bandura A (1986) The explanatory and predictive scope of self-efficacy theory. J Soc Clin Psychol 4:359–373CrossRef

40.

Brown J, Miller W, Lawendowski L (1999) Innovations in clinical practice: a source book. Professional Resource Press/Professional Resource Exchange, Sarasota

41.

Baer RA, Smith GT, Allen KB (2004) Assessment of mindfulness by self-report: the Kentucky inventory of mindfulness skills. Assessment 11:191–206PubMedCrossRef

Titel: Predictors of weight loss in obese patients with obstructive sleep apnea
verfasst von: Thomas J. Altree
Delwyn J. Bartlett
Nathaniel S. Marshall
Camilla M. Hoyos
Craig L. Phillips
Callum Birks
Aran Kanagaratnam
Anna Mullins
Yasmina Serinel
Keith K. H. Wong
Brendon J. Yee
Ronald R. Grunstein
Elizabeth A. Cayanan
Publikationsdatum: 06.08.2021
Verlag: Springer International Publishing
Erschienen in: Sleep and Breathing / Ausgabe 2/2022
Print ISSN: 1520-9512
Elektronische ISSN: 1522-1709
DOI: https://doi.org/10.1007/s11325-021-02455-4

Leitlinien kompakt für die Innere Medizin

Mit medbee Pocketcards sicher entscheiden.

^{Seit 2022 gehört die medbee GmbH zum Springer Medizin Verlag}

Kostenlos registrieren

Neu im Fachgebiet Innere Medizin

19.04.2024 | Vorhofflimmern | Nachrichten

Update Innere Medizin

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.

Newsletter bestellen

Live-Webinar: Aktuelle Leitlinien bei Herz-Kreislauf-Erkrankungen

Springer Medizin

Predictors of weight loss in obese patients with obstructive sleep apnea

Abstract

Purpose

Methods

Results

Conclusions

Clinical trial registration

Public Registry Title

URL

Leitlinien kompakt für die Innere Medizin

Neu im Fachgebiet Innere Medizin

Parodontalbehandlung verbessert Prognose bei Katheterablation

Prostatakarzinom: EU initiiert neues Screeningkonzept

Blasenkarzinom – Biomarker statt Zytologie?

Antihypertensiva schützen auch alte Menschen noch vor Demenz

Update Innere Medizin

Live-Webinar: Aktuelle Leitlinien bei Herz-Kreislauf-Erkrankungen

Springer Medizin

Abstract

Purpose

Methods

Results

Conclusions

Clinical trial registration

Public Registry Title

URL

Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten

Weitere Artikel der Ausgabe 2/2022

Therapy satisfaction and willingness-to-pay in Polish patients with restless legs syndrome

High flow nasal cannula therapy for obstructive sleep apnea in adults

Lower 24-h urinary potassium excretion is negatively associated with excessive daytime sleepiness in the general population

Two effective clinical prediction models to screen for obstructive sleep apnoea based on body mass index and other parameters

Obstructive sleep apnea and the risk of mortality in patients with lung cancer: a meta-analysis

Systemic corticosteroids could be used as bridge treatment in children with obstructive sleep apnea syndrome waiting for surgery

Leitlinien kompakt für die Innere Medizin

Neu im Fachgebiet Innere Medizin

Parodontalbehandlung verbessert Prognose bei Katheterablation

Prostatakarzinom: EU initiiert neues Screeningkonzept

Blasenkarzinom – Biomarker statt Zytologie?

Antihypertensiva schützen auch alte Menschen noch vor Demenz

Update Innere Medizin