Sleep quality, stress, depressive symptoms, and body-mass index as predictors of elevated blood pressures in college students

2014 ◽  
Vol 8 (4) ◽  
pp. e122 ◽  
Author(s):  
Christopher R. Dubuque ◽  
William J. Elliott ◽  
Richard May
Keyword(s):  
College Students ◽  
Body Mass Index ◽  
Depressive Symptoms ◽  
Sleep Quality ◽  
Body Mass ◽  
Elevated Blood ◽  
Blood Pressures

Fighting the Freshman Fifteen: Sleep, Exercise, and BMI in College Students

2020 ◽  
pp. 089011712096906
Author(s):  
June J. Pilcher ◽  
Dylan N. Erikson ◽  
Carolyn A. Yochum
Keyword(s):  
Physical Activity ◽  
College Students ◽  
Body Mass Index ◽  
Sleep Quality ◽  
Quality Factor ◽  
Sleep Duration ◽  
Body Mass ◽  
Factor Score ◽  
Sleep Efficiency ◽  
Healthy Weight

Purpose: To examine how sleep and physical activity predict body mass index (BMI) in college students. Design: Cross-sectional. Setting: Medium-sized public university in the Southeastern United States. Subjects: 386 undergraduate students (245 females; 18-25 years). Measures: Surveys included the Pittsburg Sleep Quality Index (PSQI) and Concise Physical Activity Questionnaire (CPAQ). PSQI provided 5 sleep scores: PSQI Global Score, Sleep Quality Factor Score, Sleep Efficiency Factor Score, Sleep Duration, and Habitual Sleep Efficiency. Height and weight measurements were taken to calculate Body Mass Index (BMI). Analysis: Correlational analyses were completed first. Linear and moderation regression models using CPAQ as the moderator were used to predict BMI. The Johnson-Neyman technique determined regions of significance where sleep significantly predicted BMI dependent on CPAQ score. Results: Sleep Duration significantly predicted BMI ( β = -.385, p = .043) while significant interaction terms predicting BMI were found for Global PSQI ScoreXCPAQ ( β = -.103, p = .015) and Sleep Quality Factor ScoreXCPAQ ( β = -.233, p = .013). Johnson-Neyman analyses demonstrated that better sleep quality (measured by Global PSQI and Sleep Quality Factor Scores) predict lower BMI when exercise levels are low and higher BMI when exercise levels are high. Conclusion: At low levels of exercise, better sleep quality significantly predicts lower BMI, suggesting that interventions designed to increase sleep quality could promote healthy weight maintenance in college students.

scholarly journals Maternal Depressive Symptoms and Their Association with Breastfeeding and Child Weight Outcomes

Children ◽  
2021 ◽  
Vol 8 (3) ◽  
pp. 233
Author(s):  
María Pineros-Leano ◽  
Jaclyn A. Saltzman ◽  
Janet M. Liechty ◽  
Salma Musaad ◽  
Liliana Aguayo
Keyword(s):  
Body Mass Index ◽  
Depressive Symptoms ◽  
Body Mass ◽  
Analysis Of Covariance ◽  
Physical Growth ◽  
Maternal Depressive Symptoms ◽  
Developmental Problems ◽  
Child Weight ◽  
Child Body Mass Index ◽  
Weight Outcomes

Children of mothers with depressive symptoms are at a higher risk for psychosocial, behavioral, and developmental problems. However, the effects of maternal depression on children’s physical growth are not well understood. To address the gaps in the literature, this study examined the association between maternal depressive symptoms, breastfeeding behaviors, and child weight outcomes. Data from 204 mother–child dyads who participated in the STRONG Kids 1 Study were used. Mothers and children were assessed twice when the children were 3 and 4 years old. Height and weight measurements of children and mothers were collected by trained researchers during both assessments. Multiple linear regression and analysis of covariance tests were used to examine the associations between maternal depressive symptoms, breastfeeding, and age and sex-adjusted child body mass index percentile. Recurrent maternal depressive symptoms when the child was 3 and 4 years old were not associated with child body mass index percentiles (BMI-P) at age 4. Mothers who breastfed for at least 6 months had significantly lower depressive symptoms when their children were 3 years of age, but the differences did not persist at age 4. In this community sample, maternal depressive symptoms were not associated with child BMI-P, regardless of breastfeeding duration.

scholarly journals Relationship between Emotional Intelligence, Sleep Quality and Body Mass Index in Emergency Nurses

Healthcare ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 607
Author(s):  
Noelia Miguez-Torres ◽  
Alejandro Martínez-Rodríguez ◽  
María Martínez-Olcina ◽  
Laura Miralles-Amorós ◽  
Cristina Reche-García
Keyword(s):  
Body Mass Index ◽  
Emotional Intelligence ◽  
Sleep Quality ◽  
Body Mass ◽  
Working Hours ◽  
Type I ◽  
Emotional States ◽  
Emergency Nurses ◽  
Cross Sectional ◽  
Lack Of Sleep

Nurses have long working hours with high psychological burdens. In addition, in the emergency department, nurses are required to quickly adapt emotionally. The aim of this study was to describe and relate emotional intelligence (EI) skills of emergency nurses, their body mass index (BMI) and sleep quality. For this purpose, a cross-sectional was carried out in which the perceived emotional intelligence test and the Pittsburgh sleep quality index were applied. Sixty-two emergency nurses (48 women and 14 men) participated. The results indicated that the majority of them present adequate levels of EI, with no differences by gender. Younger nurses showed a better ability to feel, express and understand emotional states than the older ones, while the ability to regulate emotional states occurred in the opposite way. Nurses who have been working for several years showed a better ability to regulate emotions than those with less experience. Those who were overweight grade II and obese type I expressed their feelings better, also the regulation of emotional states decreased as weight increased. Finally, it has been observed that the quality of sleep of emergency nurses is significantly altered, and that this lack of sleep may affect their ability to process emotions.

scholarly journals Challenging the “jolly fat” hypothesis among older adults: High body mass index predicts increases in depressive symptoms over a 5-year period

2016 ◽  
Vol 23 (1) ◽  
pp. 48-58 ◽  
Author(s):  
Peter Joseph Dearborn ◽  
Michael A Robbins ◽  
Merrill F Elias
Keyword(s):  
Older Adults ◽  
Body Mass Index ◽  
Depressive Symptoms ◽  
Body Mass ◽  
Functional Limitations ◽  
High Body Mass Index ◽  
Obesity Prevalence ◽  
Community Based ◽  
Objectively Measured

Several investigators have observed lowered risk of depression among obese older adults, coining the “jolly fat” hypothesis. We examined this hypothesis using baseline and a 5-year follow-up body mass index, depressive symptoms, and covariates from 638 community-based older adults. High objectively measured body mass index and functional limitations predicted increased future depressive symptoms. However, symptoms did not predict future body mass index. Self-reported body mass index showed similar associations despite underestimating obesity prevalence. Results did not differ on the basis of gender. Results for this study, the first longitudinal reciprocal risk analysis between objectively measured body mass index and depressive symptoms among older adults, do not support the “jolly fat” hypothesis.

scholarly journals Correlation of shift work and waist circumference, body mass index, chronotype and depressive symptoms

2010 ◽  
Vol 54 (7) ◽  
pp. 652-656 ◽  
Author(s):  
Luciana da Conceição Antunes ◽  
Manoela Neves da Jornada ◽  
Letícia Ramalho ◽  
Maria Paz Loayza Hidalgo
Keyword(s):  
Body Mass Index ◽  
Depressive Symptoms ◽  
Waist Circumference ◽  
Body Mass ◽  
Shift Work ◽  
Self Report ◽  
Metabolic Disturbances ◽  
Anthropometric Measures ◽  
Shift Workers ◽  
Health Area

OBJECTIVE: Correlate shift work with body mass index (BMI), waist circumference, chronotype and depressive symptoms. SUBJECTS AND METHODS: This study comprising 14 shift workers and 13 day workers. Subjects were workers from the health area aged 25 to 60 years. Minor psychiatric disorders were accessed by Self Report Questionnaire (SRQ-20) and depressive symptoms by Beck Depression Inventory (BDI). Chronotype was accessed using Morningness-Eveningness Questionnaire (MEQ). Anthropometric measures were taken. RESULTS: Shift workers presented higher BMI (P = 0.03) and waist circumference (P = 0.004) than day workers. Years on shift work were significantly correlated to waist circumference (r = 0.43; P = 0.03) and age (r = 0.47; P = 0.02). Shift work was not correlated with depressive symptoms and chronotype. CONCLUSION: These results may suggest a role played by shift work on the development and/or the early clinic manifestations of metabolic disturbances, becoming a risk factor to metabolic syndrome.

scholarly journals Body Mass Index and Depressive Symptoms: Testing for Adverse and Protective Associations in Two Twin Cohort Studies

2016 ◽  
Vol 19 (4) ◽  
pp. 306-311 ◽  
Author(s):  
Markus Jokela ◽  
Venla Berg ◽  
Karri Silventoinen ◽  
G. David Batty ◽  
Archana Singh-Manoux ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Depressive Symptoms ◽  
Cohort Studies ◽  
Body Mass ◽  
Genetic Model ◽  
The United States ◽  
Population Based ◽  
The Us ◽  
Mz Twins ◽  
Pair Analysis

Studies have suggested both adverse and protective associations of obesity with depressive symptoms. We examined the contribution of environmental and heritable factors in this association. Participants were same-sex twin pairs from two population-based twin cohort studies, the Older Finnish Twin Cohort (n = 8,215; mean age = 44.1) and the US Midlife Development in the United States (MIDUS; n = 1,105; mean age = 45.1). Body mass index (BMI) was calculated from self-reported height and weight. Depressive symptoms were assessed using Beck's Depression Inventory (BDI; Finnish Twin Cohort), and by negative and positive affect scales (MIDUS). In the Finnish Twin Cohort, higher BMI was associated with higher depressive symptoms in monozygotic (MZ) twins (B = 2.01, 95% CI = 1.0, 3.0) and dizygotic (DZ) twins (B = 1.17, 0.5, 1.9) with BMI >22. This association was observed in within-pair analysis in DZ twins (B = 1.47, CI = 0.4, 2.6) but not in within-pair analysis of MZ twins (B = 0.03, CI = -1.9, 2.0). Consistent with the latter result, a bivariate genetic model indicated that the association between higher BMI and higher depressive symptoms was largely mediated by genetic factors. The results of twin-pair analysis and bivariate genetic model were replicated in the MIDUS sample. These findings suggest an association between obesity and higher depressive symptoms, which is largely explained by shared heritable biological mechanisms.

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