scholarly journals Sleep Quality of Second Trimester Pregnant Women

2019 ◽  
Author(s):  
Elsa Naviati ◽  
Anggorowati Anggorowati ◽  
FatikhuYatuni Asmara
Keyword(s):  
Sleep Quality ◽  
Pregnant Women ◽  
Sleep Problem ◽  
Sleep Problems ◽  
Early Adulthood ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Second Trimester ◽  
Cross Sectional ◽  
Good Shape

Background: Most women experience sleep problem during pregnancy. Poor sleep can adversely affect health, also impacts critically toward the mother as well as the fetus.Accordingtothepreviousstudies,most of the results state that the sleep problem increases along with the gestational age. Yet, there search which focuses on sleep quality in the second trimester of pregnancy is limited. Objectives: The purpose of studyistodescribesleepqualityofsecondtrimesterpregnantwomenintheSemarang City. Methods: Cross sectional study was conducted in 4 Public Health Centers of Semarang City with purposive sampling in mothers with 20-24 weeks of pregnancy. Number of respondents is 73 pregnant women. Inclusion criteria are pregnant women with 20-24 week of pregnancy, live together with husband, don’t have any chronic illness. The instrument backed up using Sleep Condition Indicator (SCI). Results was divided into 4 criteria namely severe sleep problems, some sleep problems, good shape sleep and great shape sleep. Data analysis was using a computer program. Results:The result of the study shows that those 73 pregnant women are grouped into several categories, most of them are senior high school (64,38%), second pregnancy (37.8%), Islamic religion (98.63%), household care work (71,23%) and early adulthood (63,01%). Furthermore, it shows that most of pregnant women have a good shape sleep (52,05%), while the pregnant women who have some sleep problem are 16,44%. Conclusion: Although the result shows that the percentage of pregnant women who has sleep problem is not as high as the ones who do not, this should not be taken for granted since this problem will influence both the mother’s and the fetus’ health conditions.For further research, it is needed to find the causes of poor sleep quality on pregnant women to solve this problem and to prevent disease which is caused by it.  

scholarly journals Sleep quality and associated factors among pregnant women attending antenatal care at Jimma Medical Center, Jimma, Southwest Ethiopia, 2020: cross-sectional study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Tamrat Anbesaw ◽  
Habtamu Abebe ◽  
Chalachew Kassaw ◽  
Tilahun Bete ◽  
Alemayehu Molla
Keyword(s):  
Sleep Quality ◽  
Pregnant Women ◽  
Associated Factors ◽  
Medical Center ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Sectional Study ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Southwest Ethiopia

Abstract Background Sleep is a natural physiological process vital for the physical and mental wellbeing of pregnant women and their fetuses. Even though poor sleep quality is a common problem among pregnant women, it is not studied in developing countries including Ethiopia. Therefore, this study was aimed to assess the poor sleep quality and associated factors among pregnant women attending antenatal care at Jimma medical center, Jimma, Southwest Ethiopia, 2020. Methods A cross-sectional study design was conducted among 415 pregnant women at Jimma Medical Center (JMC). The study subjects were selected using a systematic random sampling technique. Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality using face-to-face interviews. SPSS version 25 was used to analyze data. Bivariate and multivariable logistic regressions were done to identify factors related to sleep quality. In multivariable logistic regression variables with a p-value less than 0.05 was considered significant and, adjusted OR (AOR) with 95% CI was used to present the strength of the association. Results The prevalence of poor sleep quality among pregnant women was found to be 30.8% (95% CI (26.5, 35.2). In multivariable analysis, age ≥ 30 years old (AOR = 1.94;95%CI:1.03,3.66), Multigravida (AOR = 1.90;95%CI:1.90,3.32),depression (AOR = 4.26;95%CI:2.54,7.14),stress (AOR = 1.85;95%CI:1.20,3.02) were variables significantly associated with poor sleep quality. Conclusion This study found a high prevalence of poor sleep quality among pregnant women. Older age, gravidity, depression, and stress were associated with poor sleep quality. It is better to have routine sleep pattern screening and teach sleep hygiene practice for pregnant women.

scholarly journals Sleep disturbances among pregnant women with history of migraines: A cross-sectional study

Cephalalgia ◽  
2015 ◽  
Vol 35 (12) ◽  
pp. 1092-1102 ◽  
Author(s):  
Chunfang Qiu ◽  
Ihunnaya O Frederick ◽  
Tanya Sorensen ◽  
Sheena K Aurora ◽  
Bizu Gelaye ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Pregnant Women ◽  
Sleep Duration ◽  
Sleep Disturbances ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Sectional Study ◽  
Short Sleep Duration ◽  
Cross Sectional ◽  
History Of

Background Migraine is associated with sleep disturbances in men and non-pregnant women. However, relatively little is known about sleep disturbances among pregnant migraineurs. We investigated sleep disturbances among pregnant women with and without history of migraine. Methods This cross-sectional study was conducted among 1324 women who were recruited during early pregnancy. Migraine diagnoses were based on the International Classification of Headache Disorders-II criteria. The Pittsburgh Sleep Quality Index (PSQI) questionnaire was used to evaluate sleep-related characteristics including sleep duration, sleep quality, excessive daytime sleepiness, and other sleep traits. Multivariable logistic regression procedures were used to estimate adjusted odds ratios (AORs) and 95% confidence intervals (CIs). Results Migraineurs were more likely than non-migraineurs to report short sleep duration (<6.5 hours) (AOR = 1.47, 95% CI 1.07–2.02), poor sleep quality (PSQI>5) (AOR = 1.73, 95% CI 1.35–2.23), and daytime dysfunction due to sleepiness (AOR = 1.51, 95% CI 1.12–2.02). Migraineurs were also more likely than non-migraineurs to report taking sleep medication during pregnancy (AOR = 1.71, 95% CI 1.20–2.42). Associations were generally similar for migraine with or without aura. The odds of sleep disturbances were particularly elevated among pre-pregnancy overweight migraineurs. Conclusion Migraine headache and sleep disturbances are common comorbid conditions among pregnant women.

scholarly journals AB0139 RHEUMATOID ARTHRITIS AND SLEEP QUALITY

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 1097.1-1097
Author(s):  
S. Rekik ◽  
L. Ben Ammar ◽  
S. Boussaid ◽  
S. Jemmali ◽  
E. Cheour ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Sleep Quality ◽  
Sleep Problem ◽  
Sleep Problems ◽  
Symptomatic Treatment ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
The Mean ◽  
The Impact

Background:Consequences of rheumatoid arthritis (RA) are many and varied: physical, psycho-affective and financial.Objectives:The objective of our study is to evaluate the impact of RA on sleep quality.Methods:We conducted a cross-sectional study including 49 RA patients. An evaluation of sleep quality using the MOS-Sleep Scale was performed.Results:The mean age of patients was 54.1 years, with a female predominance (89.8%). The mean duration of RA was 11.43 ± 7.32 years with a mean time to diagnosis of 2.35 years. Rheumatoid factor was positive in 77.6% of cases. A atlanto-axial dislocation was found in 4.1% of cases and coxitis in 8.2% of cases. All patients were on symptomatic treatment, 57.1% of whom were on corticosteroid therapy. 83.67% of patients were on cs-DMARDs and 14.2% were on biologics. At inclusion, sleep was optimal in 63.2% of cases and the mean Sleep Problem Index was 26.19 ± 22.77.The index of sleep problems was higher in older subjects and in those with long diagnostic delays. The presence of co-morbidities and atlanto-axial dislocation and/or coxitis was associated with impaired sleep quality. Also, VAS pain and EGP were associated with an increase in the sleep problem index. In the multivariate study, EGP, the presence of co-morbidities and atlanto-axial dislocation and/or coxitis were the independent factors affecting sleep quality.Conclusion:The impact of RA on the patient’s quality of life and especially the quality of sleep is confirmed by several studies in the literature. A global management of the patient is necessary in order to adapt well to his disease.Disclosure of Interests:None declared

scholarly journals Sleep quality, sleep habits, and chronotypes of medical interns at the beginning of their training

2017 ◽  
Vol 5 (20) ◽  
pp. 4 ◽  
Author(s):  
Chok Limsuwat ◽  
Pantaree Aswanetmanee ◽  
Mustafa Awili ◽  
Ahmed Raziuddin ◽  
Supat Thammasitboon
Keyword(s):  
Sleep Quality ◽  
Sleep Problems ◽  
Sleep Hygiene ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Sleep Habits ◽  
Cross Sectional ◽  
Resident Work ◽  
Quality Sleep ◽  
Work Hour

Introduction: Despite the implementation of resident work hour regulations, studieshave not consistently shown beneficial changes in residents’ sleep quality or duration. Wehypothesized that inter-individual sleep-related differences may exist prior to training and thepre-existing sleep health and habits may impact training.Objective: To determine interns’ baseline sleep quality, sleep hygiene, chronotypes, andtheir correlates at the beginning of their residency training program.Methods: A cross-sectional study using an anonymous “Resident Sleep Survey” includedbaseline demographic information and questionnaires, including the Epworth SleepinessScale (ESS), the Pittsburgh’s Sleep Quality Index (PSQI), the Morningness-EveningnessQuestionnaire (MEQ), and the Sleep Hygiene Index (SHI).Results: One hundred and twenty-nine subjects participated the study; 45.7 % (n=59)were male and 18.6 % (n=24) were married. Twenty percent of interns had an ESS >10. ThePSQI revealed that 28% of interns had poor sleep hygiene. The mean sleep efficiency was91.2 ±7.4% estimated from the PSQI. Non-married interns had a lower prevalence of morningchronotypes (22.3% vs. 45.8%, p=0.02). Morning chronotype interns had a lower ESS score(6.1 ±3.1 vs. 7.6 ±3.6, p=0.03) and a lower SHI (29 ±7.0 vs. 34.3 ±7.1, p=0.003).Conclusion: About a quarter of interns had poor sleep quality and excessive daytimesleepiness prior to their training. Non-morning chronotype interns appeared to have moredaytime sleepiness and poorer sleep quality. Since pre-existing sleep problems may adverselyaffect learning, we suggest that strategies to improve sleep hygiene and quality in this specificpopulation should be emphasized early in their training.

scholarly journals The prevalence and risk factors for depressive symptoms in frontline nurses under COVID-19 pandemic based on a large cross-sectional study using the propensity score-matched method

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hongyan Wang ◽  
Xiaoling Dai ◽  
Zichuan Yao ◽  
Xianqing Zhu ◽  
Yunzhong Jiang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Depressive Symptoms ◽  
Sleep Quality ◽  
Psychological Capital ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Sectional Study ◽  
Poor Sleep Quality ◽  
Related Factors ◽  
Cross Sectional

Abstract Introduction To explore the prevalence of depressive symptoms and the associated risk factors in frontline nurses under COVID-19 pandemic. Methods This cross-sectional study was conducted from February 20, 2020 to March 20, 2020 and involved 562 frontline nurses. The effective response rate was 87.68%. After propensity score matched, there were 498 participants left. Extensive characteristics, including demographics, dietary habits, life-related factors, work-related factors, and psychological factors were collected based on a self-reported questionnaire. Specific scales measured the levels of sleep quality, physical activity, depressive symptoms, perceived organization support and psychological capital. Adjusted odds ratios and 95% confidence intervals were determined by binary paired logistic regression. Results Of the nurses enrolled in the study, 50.90% had depressive symptoms. Three independent risk factors were identified: poor sleep quality (OR = 1.608, 95% CI: 1.384–1.896), lower optimism of psychological capital (OR = 0.879, 95% CI: 0.805–0.960) and no visiting friend constantly (OR = 0.513, 95% CI: 0.286–0.920). Conclusions This study revealed a considerable high prevalence of depressive symptoms in frontline nurses during the COVID-19 outbreak, and identified three risk factors, which were poor sleep quality, lower optimism of psychological capital, and no visiting friend constantly. Protecting mental health of nurses is important for COVID-19 pandemic control and their wellbeing. These findings enrich the existing theoretical model of depression and demonstrated a critical need for additional strategies that could address the mental health in frontline nurses for policymakers.

scholarly journals Association between Depression, Lifestyles, Sleep Quality, and Sense of Coherence in a Population with Cardiovascular Risk

Nutrients ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 585
Author(s):  
Aina Riera-Sampol ◽  
Miquel Bennasar-Veny ◽  
Pedro Tauler ◽  
Mar Nafría ◽  
Miquel Colom ◽  
...  
Keyword(s):  
Cardiovascular Risk ◽  
Sleep Quality ◽  
Mediterranean Diet ◽  
Sense Of Coherence ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Protective Effects ◽  
Cross Sectional ◽  
Health Related ◽  
The Mediterranean

People with cardiovascular risk have more depression than the general population. Depression and cardiovascular risk have been commonly linked to lower sense of coherence (SOC) values, unhealthy lifestyles, and poor sleep quality. The aim of this study was to analyze the association between depression, health-related lifestyles, sleep quality, and SOC in a population with cardiovascular risk. A cross-sectional study was conducted in 310 participants (aged 35–75 years) with cardiovascular risk. Sociodemographic and anthropometric characteristics, cardiovascular risk, SOC score, depression levels, sleep quality, and lifestyles (physical activity, diet quality (measured as the adherence to the Mediterranean diet), and tobacco and alcohol consumption) were determined. The regression analysis showed significant associations between depression levels and sex (odds ratio (OR): 2.29; 95% CI: 1.29, 4.07), diet (OR: 0.85; 95% CI: 0.73, 0.99), body mass index (BMI) (OR: 1.06; 95% CI: 1.01, 1.12), cardiovascular disease (CVD) (OR: 2.55; 95% CI: 1.18, 5.48), sleep quality (OR: 0.26; 95% CI: 0.15, 0.46), and SOC (OR: 0.96; 95% CI: 0.94, 0.98). Protective effects of male sex, a lower BMI, no CVD, a higher adherence to the Mediterranean diet, a high sleep quality, and a higher SOC were found. In conclusion, among lifestyles determined, only diet was associated with depression levels. SOC and sleep quality were also found as significant predictors for depression levels.

scholarly journals POS1465-HPR THE RELATIONSHIP BETWEEN SEDENTARY BEHAVIOR AND SLEEP IN RHEUMATOID ARTHRITIS: A CROSS-SECTIONAL STUDY

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 1017.2-1018
Author(s):  
N. Kelly ◽  
E. Hawkins ◽  
H. O’leary ◽  
K. Quinn ◽  
G. Murphy ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Physical Activity ◽  
Sleep Quality ◽  
Sedentary Behavior ◽  
Disease Duration ◽  
Cross Sectional Study ◽  
P Value ◽  
Poor Sleep ◽  
Cross Sectional ◽  
The Relationship

Background:Rheumatoid arthritis (RA) is a chronic, autoimmune inflammatory condition that affects 0.5% of the adult population worldwide (1). Sedentary behavior (SB) is any waking behavior characterized by an energy expenditure of ≤1.5 METs (metabolic equivalent) and a sitting or reclining posture, e.g. computer use (2) and has a negative impact on health in the RA population (3). Sleep is an important health behavior, but sleep quality is an issue for people living with RA (4, 5). Poor sleep quality is associated with low levels of physical activity in RA (4) however the association between SB and sleep in people who have RA has not been examined previously.Objectives:The aim of this study was to investigate the relationship between SB and sleep in people who have RA.Methods:A cross-sectional study was conducted. Patients were recruited from rheumatology clinics in a large acute public hospital serving a mix of urban and rural populations. Inclusion criteria were diagnosis of RA by a rheumatologist according to the American College of Rheumatology criteria age ≥ 18 and ≤ 80 years; ability to mobilize independently or aided by a stick; and to understand written and spoken English. Demographic data on age, gender, disease duration and medication were recorded. Pain and fatigue were measured by the Visual Analogue Scale (VAS), anxiety and depression were assessed using the Hospital Anxiety and Depression Scale (HADS), and sleep quality was assessed using the Pittsburgh Sleep Quality Index. SB was measured using the ActivPAL4™ activity monitor, over a 7-day wear period. Descriptive statistics were calculated to describe participant characteristics. Relationships between clinical characteristics and SB were examined using Pearson’s correlation coefficients and regression analyses.Results:N=76 participants enrolled in the study with valid data provided by N=72 participants. Mean age of participants was 61.5years (SD10.6) and the majority 63% (n = 47) were female. Participant mean disease duration was 17.8years (SD10.9). Mean SB time was 533.7 (SD100.1) minutes (8.9 hours per day/59.9% of waking hours). Mean sleep quality score was 7.2 (SD5.0) (Table 1). Correlation analysis and regression analysis found no significant correlation between sleep quality and SB variables. Regression analysis demonstrated positive statistical associations for SB time and body mass index (p-value=0.03846, R2 = 0.05143), SB time and pain VAS (p-value=0.009261, R2 = 0.07987), SB time and HADS (p-value = 0.009721, R2 = 0.08097) and SB time and HADSD (p-value = 0.01932, R2 = 0.0643).Conclusion:We found high levels of sedentary behavior and poor sleep quality in people who have RA, however no statistically significant relationship was found in this study. Future research should further explore the complex associations between sedentary behavior and sleep quality in people who have RA.References:[1]Carmona L, et al. Rheumatoid arthritis. Best Pract Res Clin Rheumatol 2010;24:733–745.[2]Anon. Letter to the editor: standardized use of the terms “sedentary” and “sedentary behaviours”. Appl Physiol Nutr Metab = Physiol Appl Nutr Metab 2012;37:540–542.[3]Fenton, S.A.M. et al. Sedentary behaviour is associated with increased long-term cardiovascular risk in patients with rheumatoid arthritis independently of moderate-to-vigorous physical activity. BMC Musculoskelet Disord 18, 131 (2017).[4]McKenna S, et al. Sleep and physical activity: a cross-sectional objective profile of people with rheumatoid arthritis. Rheumatol Int. 2018 May;38(5):845-853.[5]Grabovac, I., et al. 2018. Sleep quality in patients with rheumatoid arthritis and associations with pain, disability, disease duration, and activity. Journal of clinical medicine, 7(10)336.Table 1.Sleep quality in people who have RASleep variableBed Time N(%) before 10pm13(18%) 10pm-12pm43 (60%) after 12pm16 (22%)Hours Sleep mean(SD)6.56 (1.54)Fall Asleep minutes mean(SD)33.3(27.7)Night Waking N(%)45(63%)Self-Rate Sleep mean(SD)2.74 (0.90)Hours Sleep mean(SD)6.56 (1.54)Disclosure of Interests:None declared

scholarly journals The multimorbidity of hypertension and osteoarthritis and relation with sleep quality and hyperlipemia/hyperglycemia in China’s rural population

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Li Ran ◽  
Qi Chen ◽  
Jingyi Zhang ◽  
Xinlong Tu ◽  
Xiaodong Tan ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Regression Models ◽  
Joint Effect ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Sectional Study ◽  
Additive Interaction ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
Remote Rural Area

AbstractHypertension (HTN) and osteoarthritis (OA) are frequent in middle-aged and elderly people, and the co-occurrence of these two diseases is common. However, the pathogenesis of the multimorbidity of both diseases and the relation with sleep quality, hyperlipemia, and hyperglycemia is unclear. We conducted a cross-sectional study to make sense of the multimorbidity of HTN and OA and the relation with sleep quality, hyperlipemia, and hyperglycemia. The relation between sleep quality and OA and its joint effect with hyperlipemia or hyperglycemia was evaluated with logistic regression models. The additive interaction was assessed with the relative excess risk due to interaction (REEI), the attributable proportion (AP), and the synergy index (S). According to this research in a remote rural area, approximately 34.2% of HTN patients are accompanied with OA and 49.1% are suffering poor sleep. Both hyperlipemia/hyperglycemia and sleep quality were related to OA prevalence with crude ORs of 1.43 (95% CI 1.014–2.029) and 1.89 (95% CI 1.411–2.519, P < 0.001) respectively. An observed additive effect was found greater than the sum of the effects of sleep quality and hyperlipemia/hyperglycemia posed on OA prevalence alone. This additive interaction was observed in females (OR = 3.19, 95% CI 1.945–5.237) as well as males ≥ 65 years old (OR = 2.78, 95% CI 1.693–4.557), with RERI, AP, and S significant. Therefore, poor sleep and hyperlipemia/hyperglycemia are associated with OA, and further studies on the additive interaction among females and males ≥ 65 are warranted.

Effect of Confinement by COVID-19 on the Lifestyle of the University Population of Argentina: Evaluation of Physical Activity, Food and Sleep (Efecto del confinamiento por COVID-19 sobre el estilo de vida en población universitaria de Argentina: Evaluaci

Retos ◽  
2021 ◽  
Vol 43 ◽  
pp. 274-282
Author(s):  
Leonardo Intelangelo ◽  
Nacim Molina Gutiérrez ◽  
Nicolás Bevacqua ◽  
Cristian Mendoza ◽  
Iris Paola Guzmán-Guzmán ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Physical Activity Behavior ◽  
Cross Sectional Study ◽  
Lifestyle Changes ◽  
Poor Sleep ◽  
Activity Levels ◽  
Cross Sectional ◽  
Good Nutrition ◽  
University Population

Objective: to determine lifestyle changes, such as physical activity, nutrition, and sleep in an Argentinean university population, caused by confinement during the COVID-19 pandemic. Methods: Cross-sectional study via web survey. 1021 the Argentinean university population (women, n = 645 and men, n = 376) aged between 18–70 years old was participate. Survey was utilized to measure participant physical activity behavior, nutrition, and sleep April to May 2020. Results: the main findings revealed that 4.3% of the sample showed obesity; the highest proportion of the sample stayed more than 6 hours in a sedentary status; 21.74% reported bad sleep quality; a reduction in good feeding pattern; and an increase in subjects who do not perform physical activity. According to socio-demographic and anthropometric factors, being a student (OR 2.19, CI95% 1.18 - 4, p= .012), overweight (OR 1.71, CI95% 1.19 – 2.44, p= .003), obesity (OR 4.45, CI95% 2.27 – 8.7, p< .001), and have been confined more than 45 days was associated with bad feeding. Likewise, low physical activity levels were associated with obesity (OR 3.2 CI95% 1.66 – 6.18, p= .001), being female (OR 1.61, CI95% 1.14 –2.28, p= .006) and get married (OR 1.72, CI95% 1.14 – 2.61, p= .009). Moreover, being a student was associated with poor sleep quality (OR 43.6, CI95%5.4 – 350, p< .001). Conclusion: This study suggests that confinement decreased healthy living habits such as good nutrition and physical activity and affected the quality of sleep in young subjects.  Resumen. Objetivo: determinar los cambios en el estilo de vida, como la actividad física, la nutrición y el sueño en una población universitaria argentina, causados por el confinamiento durante la pandemia de COVID-19. Métodos: Estudio transversal mediante encuesta por Internet. Participaron 1021 personas de la población universitaria argentina (mujeres, n = 645 y hombres, n = 376) de entre 18 y 70 años de edad. La encuesta fue utilizada para medir el comportamiento de la actividad física, la nutrición y el sueño de los participantes de abril a mayo de 2020.Resultados: los principales hallazgos mostraron que el 4,3% de la muestra presentaba obesidad; la mayor proporción de la muestra permaneció más de 6 horas en estado sedentario; el 21,74% informó sobre la mala calidad del sueño; una reducción de los hábitos correctos de alimentación; y un aumento de los participantes que no realizan actividad física. De acuerdo con factores socio-demográficos y antropométricos, ser estudiante (OR 2.19, CI95% 1.18 - 4, p= .012), el sobrepeso (OR 1.71, CI95% 1.19 - 2.44, p= .003), la obesidad (OR 4.45, CI95% 2.27 - 8.7, p< .001), y haber estado confinado más de 45 días se asoció con una mala alimentación. Asimismo, los bajos niveles de actividad física se asociaron con la obesidad (OR 3,2; IC95% 1,66 - 6,18, p= .001), ser mujer (OR 1,61; IC95% 1,14 -2,28, p= .006) y estar casado (OR 1,72; IC95% 1,14 - 2,61, p= .009). Además, ser estudiante se asoció con una mala calidad de sueño (OR 43,6, CI95% 5,4 - 350, p< .001). Conclusión: Este estudio sugiere que el confinamiento disminuyó los hábitos de vida saludables como la buena nutrición, la actividad física, y afectó la calidad del sueño en sujetos jóvenes.

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