Link Between Obesity and Lack of Sleep

Link Between Obesity and omit of SleepZara J. DamaniaAbstractThis playing field aims to enquire whether in that respect is a bifacial family kinship mingled with poor quiet quality, proudschool body push-down store king (BMI) and crushed consume ( englut- have and night-time ingest). Participants were a community-derived sample (N= 330) of people recruited with advertisements placed at the Australian National University (ANU) campus and a list of online platforms. An online questionnaire asked participants for their height, metric weight unit and recent figures of quiescence and feeding. Multiple regression analyses establish that (a) worse boilers suit stop quality and binge- have (but non night-time eating) were positively associated with high BMI accounting for a signifi deposet 8% of the division in BMI and (b) high BMI and night-time eating (but non binge-eating) were positively associated with worse boilersuit cat rest period quality accounting for 35.6% of the variability in worse overall sleep quality. These results indicate that split eating (binge- and/or night-time eating) partially describe the affiliation mingled with poor sleep quality and high BMI. Future question could be conducted victimisation objective- quite an than self-reported- measures of sleep quality, BMI and eating behaviour to pull wires for inaccuracies that self-reported measures office pose.The Bidirectional crosstie between High Body Mass mightiness, Poor Sleep property and Disordered EatingThis paper investigates whether there is a bidirectional relationship between poor sleep quality, high body mass index and disordered eating. Current research corroborates the association between poor sleep quality and beingness overweight or obese. Sleep quality is a broad concept that includes sleep duration, difficulty locomote and/or staying sleepy-eyed and the use of sleep medications (Buysse, Reynolds, Monk, Berman Kupfer, 1989 Krystal Edinger , 2008). This study makes use of the Pittsburgh Sleep Quality Index (PSQI) to measure sleep quality. PSQI is an effective and widely utilise self-reported instrument that is high in reliability and validity, consisting of questions that are easy to understand and answer (Buysse et al., 1989 Smyth, 1999). PSQI measures ingrained sleep quality in seven distinct areas, including sleep reaction time and sleep duration (Krystal Edinger, 2008 Smyth, 1999).One of the key interests in this study is the association between PSQ and having a high body mass index (BMI) i.e., being overweight or obese. According to the World Health Organisations classification, a BMI of 25 indicates that a person is overweight and 30 indicates that a person is obese (World Health Organization, 2000). Empirical evidence corroborates an association between PSQ and having a high BMI (hBMI). For instance, longitudinal studies and studies on large mixed-race and socioeconomically various(a) samples set up that sleeping less(prenominal) than seven hours and having trouble move and/or staying asleep was positively associated with hBMI (Gangwisch, Malaspina, Boden-Albala Heymsfield, 2005 Meyer, Wall, Larson, Laska Neumark-sztainer, 2012). Further much, existential findings from cross-sectional studies with mixed-race samples indicate that obese individuals experience shorter sleep durations compared to non-obese individuals for either hour of sleep lost the risk of corpulency increased by 80% and PSQ leads to decreases in physical activity which is thence associated with hBMI (Cappuccio, et al., 2008 Gupta, Mueller, Chan Meininger, 2002)Very few studies that attempted to explain how PSQ is associated with hBMI found that sleep apnea might mediate this relationship (Yeh Brown, 2014). Sleep apnea refers to sleep disturbance due to recurrent interruptions to airflow through and through the nose and mouth on at least 30 occasions during a seven-hour sleep period (Guilleminault, Tilkian Dement, 1976). However, sleep apnea is comparatively uncommon in the population (Tishler, Larkin, Schulchter Redline, 2003) while PSQ is more common (Buysse, Reynolds, Monk, Berman Kupfer, 1989). Therefore, it can be inferred that only a small proportion of hBMI individuals with PSQ suffer from sleep apnea and there might be other electromotive force explanations for the association between PSQ and hBMI (Yeh Brown, 2014).Given that no other studies have attempted to further investigate factors that mediate the relationship between PSQ and hBMI, this study attempts to do so by investigating whether disordered eating mediates this relationship. Disordered eating includes both binge eating and night-time eating. Binge eating (BE) refers to consuming unusually large amounts of nutriment in a relatively short time-span and perceived want of control over ones eating behaviour (American Psychiatric Association, as cited in Johnson, Carr-Nangle, Nangle, Antony Zayfert, 1997). This stu dy uses the Binge Eating Scale (BES) a questionnaire that measures whether and to what terminus individuals binge eat by ask about their eating behaviours and tendencies (Gormally, Black, Daston Rardin, 1982). Whereas, night-time eating (NTE) refers to consuming 25% of ones caloric intake after dinner and/or after waking up at night, at least twice a week (Allison et al., 2010 Stunkard, GraceWolff). This study uses the Night-time Eating Questionnaire (NEQ) to identify whether and the relative frequency of which participants engage in NTE behaviour (Striegel-Moore, Franko Garcia, 2009).Yeh and Brown (2014) suggest that difficulty falling asleep and shorter sleep durations provide hBMI individuals with more time to eat, consequently preeminent to weight murder over time. This is in accordance with Andersen, Stunkard, Sorenson, Peterson and Heitmann (2004) and Crispim, Zimberg, dos Reis, Tufik and de Mello (2011) who separately found that NTE was associated with both PSQ and w eight gain in hBMI individuals. Similarly, empirical research has indicated that BE is associated with PSQ and hBMI in obese individuals (Yeh Brown, 2014).In light of both the lack of research investigating potential mediators of the association between PSQ and hBMI and research indicating that disordered eating is associated with PSQ and hBMI, the present study aimed to determine whether disordered eating (NTE and BE) mediates the relationship between PSQ and hBMI. The hypotheses of this study were (1) Poor sleep quality and disordered eating give be associated with high BMI and, (2) High BMI and disordered eating will be associated with higher prepares of poor sleep quality.MethodParticipantsParticipants were recruited through advertisements placed at the Australian National University (ANU) campus and a number of online platforms. plain inclusion criteria were being 18 years old and a BMI of 18.5 (normal weight) or more. 678 participants opted to participate in this study how ever data from only 330 participants were used because the remaining 348 did not meet the study inclusion criteria or did not complete the study. Of the 330 participants, 107 (32.4%) were males, 223 (67.6%) were females, the ages ranged from 18-87 years and the mean age was 27.42 years (SD=10.36).ProcedureParticipants admission feeed the study by clicking on an embedded URL in the advertisement. If they met the study criteria and consented to participate, they responded to an online questionnaire inquiring about their recent experiences of sleep and eating and height and weight, to calculate their BMI. SPSS statistical software (version 22) was used to perform all statistical analyses. Two hackneyed multiple regression analyses were performed to test the two hypotheses.MaterialsDemographics including education level were collected. BMI was calculate by computing participants weight (in kilograms) over their height (in meters) with a BMI of 25 indicating overweightness and 30 indi cating obesity. Next, the PSQI assessed seven inwrought domains of sleep. An overall PSQI score (ranging from 0 to 21) of 5 indicated conduct to severe sleep difficulties. boilersuit sleep score has high privileged consistency reliability with a Cronbachs of .83 (Smith Wegener, 2003). Thirdly, BE was measured using the BES which consists of 16-items reflecting behaviours and feelings link up to eating. An overall BES score (ranging from 0 to 46) of 27 indicated binge-eating and a higher overall score indicated worse binge eating. In this study, BES had high internal consistency with a Cronbachs of .92. Finally, NTE was measured using NEQ which consists of 15 questions. An overall NEQ score (ranging from 0 to 52) of 25 indicated NTE behaviour. In this study, the NEQ showed sufficient internal consistency with a Cronbachs alpha of .73.ResultsA number of outliers were detected for all(prenominal) of the variables however, none of these were excluded because they represented cli nically relevant cases. Kolmogorov-Smirnov statistics of overall sleep quality, BMI, BE and NTE were found to be non- world-shaking (i.e., p) which means that these key variables were commonly distributed.Two multiple regression analyses (MRA) were conducted to investigate whether (a) PSQ and disordered eating (BE and NTE) were associated with high BMI and (b) whether high BMI and disordered eating (BE and NTE) were associated with higher scores of PSQ. mode and tired deviations of the key variables are shown in Table 1.Table 1Means and Standard Deviations of Key Study VariablesThe first MRA found that overall PSQ and BE (but not NTE) were positively associated with high BMI (the helpless variable) accounting for a significant 8% of the variability in BMI, R2 =.080, adjusted R2=.071, F (3,326) = 9.40, p=.000. tryout of the beta weights suggested that BE was the strongest unique contributor to high BMI (see Table 2).Un standardize (B) and standardized () regression coefficients for severally predictor in the regression pretending are provided in Table 2.Table 2Unstandardized (B) and Standardized () Regression Coefficients for each Predictor in a Regression Model Predicting high BMI*pThe second MRA found that high BMI and NTE (but not BE) were positively associated with overall PSQ (the dependent variable) accounting for 35.6% of the variability in overall PSQ, R2 =.356, adjusted R2=.350, F (3,326) = 59.99, p=.000. Unstandardized (B) and standardized () regression coefficients for each predictor in the regression model are provided (see Table 3).Table 3Unstandardized (B) and Standardized () Regression Coefficients for each Predictor in a Regression Model Predicting Worse Overall Sleep QualityNight-eating .032 .090**pDiscussionThis study aimed to determine whether disordered eating (NTE and BE) explains the relationship between PSQ and hBMI. The first hypothesis was mostly back up by the results which indicated that PSQ and BE (but not NTE) were positivel y associated with hBMI. The second hypothesis was similarly mostly supported by the results which indicated that hBMI and NTE (but not BE) were positively associated with PSQ.First, the finding that there is a bidirectional relationship between hBMI and PSQ is in accordance with empirical research findings and meta-analyses which found that (a) sleeping less than seven hours, having trouble falling and/or staying asleep was positively associated with hBMI (b) obese individuals experience shorter sleep durations compared to non-obese individuals and (c) for every hour of sleep lost the risk of obesity increased by 80% (Cappuccio, et al., 2008 Gangwisch, Malaspina, Boden-Albala Heymsfield, 2005 Gupta, Mueller, Chan Meininger, 2002). Second, the finding that BE was associated with hBMI was in accordance with Yeh and Brown (2014) whose meta-analyses withal found that BE was positively associated with hBMI. Third, the finding that NTE was associated with PSQ is consistent with those o f Crispim, Zimberg, dos Reis, Tufik and de Mello (2011) who found that NTE was associated with PSQ. The findings that did not support the hypotheses of the study included NTE is associated with high BMI and BE is associated with PSQ. These findings are inconsistent with those of Andersen, Stunkard, Sorenson, Peterson and Heitmann (2004) who found that NTE was associated with weight gain in individuals with hBMI and Yeh and Brown (2014) whose meta-analyses found that BE is associated with PSQ.Overall, these findings mostly corroborate empirical findings and theories which claim that there is a bidirectional positive association between hBMI and PSQ, BE is positively associated with hBMI and NTE is positively associated with PSQ. However, it is possible that there are alternative explanations for the results of this study and /or potential confounds that might have influenced the results. The first limitation of the study is that the majority of the participants were females, wise to (p) and of a normal weight. Therefore, it is potentially difficult to generalize these findings to the mixed gendered populations, individuals with and less well-educated populations. Second, these findings are based on subjective self-reported measures of sleep quality, eating behaviour and BMI. This is potentially problematic because individuals might be inaccurate- due to not knowing the responses to particular questions or deliberately lying- in providing response. Lastly, internet access was required to participate in this study this is a limitation because it excludes individuals who cannot gain internet access easily and/or individuals who are not technologically knowledgeable.Overall, the results of this study implicate that individuals should strive to improve their eating and sleeping habits since they calculate to affect each other and that NTE should be controlled because it is associated with PSQ. In light of the limitations of this study, emerging research could incl ude mixed-gender samples (with equal amounts of male and female patticipants), using paper-based questionnaires and using objective measures of BMI, sleep quality and eating behaviour rather than subjective/self-report methods. Incorporating these suggestions could provide findings that are more easily generalizable to the general population and more accurate measures of the key variables in the study.In conclusion, this report investigated whether poor sleep quality and disordered eating (binge-eating and night-time eating) were associated with high BMI and whether high BMI and disordered eating were associated with higher scores of poor sleep quality. The findings indicate that poor sleep quality and binge-eating (but not night-time eating) were positively associated with high BMI and high BMI and night-time eating (but not binge-eating) were positively associated with overall poor sleep quality. These findings provide useful implications for prospective research and for individu als health behaviours.