Relationship between hedonic hunger and subjectively assessed sleep quality and perceived stress among university students: A cross-sectional study

Abdulla, Narmin K.; Obaid, Reyad S.; Qureshi, Mariam N.; Asraiti, Amna A.; Janahi, Maryam A.; Qiyas, Salma J. Abu; Faris, MoezAlIslam

doi:10.1016/j.heliyon.2023.e14987

Cited by 5 publications

(5 citation statements)

References 49 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Academic stress exacerbates sleep challenges, often causing students to sleep late (28). Taken together, entering university can be considered a challenging stage in the lives of adolescents, and high levels of perceived stress have been identified as a central predictor of poor sleep quality among university students (29).…”

Section: Introductionmentioning

confidence: 99%

Factors associated with sleep disorders among university students in Jiangsu Province: a cross-sectional study

Hu,

Wu,

Wang

et al. 2024

Front. Psychiatry

View full text Add to dashboard Cite

ObjectiveThis study aims to establish the precise prevalence of sleep disorders among university students in Jiangsu Province. Utilizing a representative sample of students, we measured their sleep quality based on the Pittsburgh Sleep Quality Index (PSQI). Our objective is to quantitatively assess the magnitude of sleep quality and identify key factors. By detailed analysis of these relationships, our study seeks to provide actionable insights for the development of targeted interventions to enhance sleep quality within this population.MethodsFrom October to November 2022, we conducted a cross-sectional web-based survey in Jiangsu Province, China. Using convenient cluster sampling in each college, a total of 8457 participants were selected. The PSQI was applied to assess sleep quality among university students. Data collected included sociodemographic details, scores from the Mobile Phone Dependence Index (MPAI) and psychological resilience measured by the Connor-Davidson Resilience Scale (CD-RISC).ResultsThe overall prevalence of poor sleep quality among the participants was 39.30%. Binary logistic regression analysis revealed that higher physical activity (OR = 0.921; 95% CI: 0.779-1.090), earlier roommate bedtimes (OR = 0.799; 95% CI: 0.718-0.888), quieter dormitories (OR = 0.732; 95% CI: 0.647-0.828) and higher psychological resilience (OR = 0.982; 95% CI, 0.979-0.984) were protective factors linked to lower risk of poor sleep quality. Conversely, being a female student (OR = 1.238; 95% CI: 1.109-1.382), being a senior (OR = 1.582; 95% CI: 1.344-1.863), single-child status (OR = 1.195; 95% CI: 1.077-1.326), regular smoking (OR = 1.833; 95% CI: 1.181-2.847), regular alcohol consumption (OR = 1.737; 95% CI: 1.065-2.833), high academic stress (OR = 1.326; 95% CI: 1.012-1.736), high employment stress (OR = 1.352; 95% CI: 1.156-1.582), dissatisfaction with dormitory hygiene (OR = 1.140; 95% CI: 1.028-1.265), poor self-rated physical health (OR = 1.969; 95% CI: 1.533-2.529), poor self-rated mental health (OR = 2.924; 95% CI: 2.309-3.702) and higher mobile phone dependency were risk factors associated with an increased likelihood of poor sleep quality.ConclusionThe sleep quality among university students should attract immediate attention. The development of public services and mental health education initiatives is crucial in enhancing the sleep health of this population.

show abstract

Section: Introductionmentioning

confidence: 99%

Factors associated with sleep disorders among university students in Jiangsu Province: a cross-sectional study

Hu,

Wu,

Wang

et al. 2024

Front. Psychiatry

View full text Add to dashboard Cite

show abstract

“…These nutritional changes have been found to increase inflammation, oxidative stress, and mitochondrial and HPA axis dysfunction and to suppress neurotransmitter synthesis and metabolism, neurogenesis, and healthy gut microbiota and epigenetic changes (Bremner et al, 2020;López-Taboada et al, 2020;Marx et al, 2021). In turn, these biological changes can precipitate brain and endocrine alterations to impair behavior, emotion regulation, cognition, sleep, and other functions in a manner consistent with symptoms of MHDs (Bremner et al, 2020;López-Taboada et al, 2020;Marx et al, 2021;Abdulla et al, 2023). Higher rates of some of the aforementioned biological changes have been detected in clients with MHDs compared to healthy controls (Che et al, 2010;Bauer and Teixeira, 2019).…”

Section: Introductionmentioning

confidence: 99%

“…HPF eating, primarily but not exclusively for coping motives, is associated with a higher body mass index (BMI) and predicts increased BMI over time (Burgess et al, 2014;Boggiano et al, 2015a;Boggiano, 2016). It is also associated with binge eating (Boggiano et al, 2014;Burgess et al, 2014;Boggiano, 2016), emotional eating, restrained eating, overconcern with body weight and shape, and with greater stress reactivity (Boggiano et al, 2017), perceived stress (Abdulla et al, 2023), HPF craving (White et al, 2022), suggestibility (Ray et al, 2020), emotional dysregulation (Orihuela et al, 2017), self-criticism, and self-judgment . Inarguably, these conditions are incompatible with healthy body weight and positive mental health.…”

Section: Introductionmentioning

confidence: 99%

“…The present study will build on those findings by determining whether the associations generalize to a larger population and one that includes more male, Black, and Hispanic adults. It will also determine whether the associations are accounted for by other factors such as BMI-which is positively related to HPF eating (Burgess et al, 2014;Boggiano et al, 2015a;Boggiano, 2016)-and by greater perceived stress-which is related to both lower trait mindfulness (Donald et al, 2016;La Torre et al, 2022) and more frequent Coping-eating (Abdulla et al, 2023). The larger sample also allows for the testing of differences in demographic factors as possible explanatory variables.…”

Section: Introductionmentioning

confidence: 99%

“…Mindfulness-based interventions have also garnered positive results in the treatment of MHDs. Nevertheless, given the influence that diets high in HPFs can exert on the mind and behavior (Che et al, 2010;Bauer and Teixeira, 2019;Bremner et al, 2020;López-Taboada et al, 2020;Marx et al, 2021;Abdulla et al, 2023), outcomes may be improved by concomitant targeting of a client's primary motive behind HPF eating. However, it is first necessary to investigate whether HPF eating occurs with higher frequency in individuals with versus without MHDs.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Mindfulness, mental health, and motives for eating tasty foods when not in metabolic need

Moore,

Rice,

Gampher

et al. 2024

Front. Psychol.

View full text Add to dashboard Cite

Habitual consumption of highly palatable foods when not in metabolic need (HPF eating) is linked to obesity. High HPF consumption is also linked to mental health disorder (MHD) symptoms. Mindfulness-based interventions are popular treatments for obesity and MHDs, but little is known about the relationship between trait mindfulness and motive-based HPF eating. Therefore, a total of 927 young adults completed a survey that included the Palatable Eating Motives Scale-7 (which identifies Coping-, Reward enhancement-, Social-, and Conformity-eating), the Mindful Attention Awareness Scale, the Perceived Stress Scale, and demographic and body mass index (BMI) questions. An MHD questionnaire allowed a comparison of HPF eating between participants with and without various MHDs. Regressions revealed that Coping-eating was independently associated with lower mindfulness and also greater perceived stress, higher BMI, and female sex. Of these variables, only lower mindfulness was independently associated with Reward-, Social-, and Conformity-eating. Coping- and Reward-eating were more frequent in participants with versus without an anxiety disorder, depression, ADD/ADHD, and PTSD. Coping-eating was also more frequent in participants with body dysmorphic disorder. These findings warrant investigations in participants with clinically validated diagnoses for DSM-specific MHDs. Results from such investigations and the uncovered nature of associations between motive-specific HPF eating and trait mindfulness could provide novel targets to improve mindfulness-based interventions for obesity and MHDs.

show abstract

Elucidating the role of social media usage on eating behavior and hedonic hunger in college students: a cross-sectional design

Dumlu Bi̇lgi̇n,

Keküllüoğlu Tan,

Yıldırım

et al. 2024

Curr Psychol

View full text Add to dashboard Cite

Social media has become prominent in recent years, especially among the young population, and they also substantially impact young people’s eating habits. Furthermore, social media posts and visual interactions may trigger hedonic hunger, an increased desire for highly palatable food. This study aimed to explore the relationship between social media use and the concept of hedonic hunger in a sample of college students. 860 participants between 18 and 39 were recruited for the study. Data including demographic variables, weight, height, the Scale of Effects of Social Media on Eating Behavior (SESMEB), and the Turkish version of the Power of Food Scale (PFS) were gathered based on students’ self-reports via face-to-face interviews. The most used social media outlet among all students was Instagram (60.1%), the average time spent on social media was 3.56 ± 1.91 h, and females spent significantly more time on social media than males (p < 0.001). The mean PFS score was 3.52 ± 0.77, and the subscale scores for food availability, food present, and food tasted were 3.26 ± 0.99, 3.49 ± 0.89, and 3.76 ± 0.87, respectively. Female students who spent more than 2 h on social media had higher scores on SESMEB than those who spent 2 h or less a day (p = 0.015). A significantly positive correlation was found between SESMEB scores and PFS aggregated scores (r = 0.381) and subscale scores (for food availability, present, and tasted, r = 0.369; r = 0.354; and r = 0.282, respectively). Each 1-unit increase in the SESMEB score leads to an 8% increase in the risk of hedonic hunger. Considering the impact of social media on young people’s eating habits and developing strategies may be crucial in shaping their eating patterns.

show abstract

Relationship between hedonic hunger and subjectively assessed sleep quality and perceived stress among university students: A cross-sectional study

Cited by 5 publications

References 49 publications

Factors associated with sleep disorders among university students in Jiangsu Province: a cross-sectional study

Factors associated with sleep disorders among university students in Jiangsu Province: a cross-sectional study

Mindfulness, mental health, and motives for eating tasty foods when not in metabolic need

Elucidating the role of social media usage on eating behavior and hedonic hunger in college students: a cross-sectional design

Contact Info

Product

Resources

About