Poor sleep quality associated with obesity in men

Sun, Wenjie; Yuan, Jingqin; Yu, Yaqin; Wang, Zengzhen; Shankar, Nivedita; Ali, Gholam; Xie, Youmei; Xu, Tan; Shan, Guangliang

doi:10.1007/s11325-015-1193-z

Cited by 23 publications

(17 citation statements)

References 34 publications

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“…Contrary to a previous study on self-rated health status [28] , and in agreement with a previous study on happiness [34] , this study found an association between very healthy self-rated health status, very happy happiness status and having overweight or obesity. Moreover, unlike previous studies on depression [30] , [31] , this study found a negative association between depression and having overweight or obesity. Some previous study [33] found an association between poor sleep quality and having obesity, while this study did not find such an association.…”

Section: Discussioncontrasting

confidence: 99%

“…Obesity is linked to a number of chronic conditions such as hypertension, type 2 diabetes mellitus, and dyslipidaemia [3] , [29] . Physical and mental health status risk factors for obesity include poor self-reported health status [28] , depression [30] , [31] , lower life satisfaction [32] , poor sleep quality [33] and greater happiness [34] .…”

Section: Introductionmentioning

confidence: 99%

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The Prevalence of Underweight, Overweight/Obesity and Their Related Lifestyle Factors in Indonesia, 2014–15

Pengpid¹,

Peltzer²

2017

AIMS Public Health

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ObjectiveTo quantify the prevalence of underweight and overweight or obesity and its related factors (socio-demographic, health behavior, health status) in a national adult population in Indonesia.Material and MethodsIn a national cross-sectional population-based survey in 2014–15 in Indonesia, 29509 adults (median age 41.0 years, Inter Quartile Range = 22.0, age range of 18–103 years) completed questionnaires and anthropometric measurements. Multinomial logistic regression modelling was used to determine the association between socio-demographic, health behavior and health status factors and underweight and overweight or obesity.ResultsOf total sample (n = 29509), 11.2% measured underweight (13.5% among men and 9.1% among women) (<18.5 kg/m2), 39.8% normal weight (48.1% among men and 32.0% among women) and 49.0% had overweight or obesity (≥23 kg/m2) (38.3% among men and 58.9% among women); 24.6% of the overall sample had class I obesity (25–29.9 kg/m2), and 8.5% had class II obesity (30 or more kg/m2). Among different age groups, underweight was the highest among 18–29 year-olds (20.0%) and those 70 years and older (29.8%), while overweight or obesity was the highest in the age group 30 to 59 years (more than 53%). In adjusted multinomial logistic regression, having less education, living in rural areas and not having chronic conditions were associated with underweight status. While better education, higher economic status, urban residency, dietary behavior (infrequent meals, frequent meat, fried snacks and fast food consumption), physical inactivity, not using tobacco, having chronic conditions (diabetes, hypertension, hypercholesterol), and better perceived health and happiness status were associated with overweight or obesity.ConclusionsA dual burden of both adult underweight and having overweight or obesity was found in Indonesia. Sociodemographic, health risk behavior and health status risk factors were identified, which can guide public health interventions to address both these conditions.

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Section: Discussioncontrasting

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Prevalence of Underweight, Overweight/Obesity and Their Related Lifestyle Factors in Indonesia, 2014–15

Pengpid¹,

Peltzer²

2017

AIMS Public Health

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“…Recent studies have shown that poor sleep quality significantly affects BMI. 36 37 The results of the present study support this conclusion. A plausible explanation is that sleep disturbances rather than sleep duration may contribute to overweight and obesity, but further studies of the biological mechanisms are needed.…”

Section: Discussionsupporting

confidence: 87%

Prevalence of overweight and obesity and some associated factors among adult residents of northeast China: a cross-sectional study

et al. 2016

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ObjectivesThis study aims to estimate the prevalence of overweight and obesity and determine potential influencing factors among adults in northeast China.MethodsA cross-sectional survey was conducted in Jilin Province, northeast China, in 2012. A total of 9873 men and 10 966 women aged 18–79 years from the general population were included using a multistage stratified random cluster sampling design. Data were obtained from face-to-face interview and physical examination. After being weighted according to a complex sampling scheme, the sample was used to estimate the prevalence of overweight (body mass index (BMI) 24–27.9 kg/m2) and obesity (BMI >28 kg/m2) in Jilin Province, and analyse influencing factors through corresponding statistical methods based on complex sampling design behaviours.ResultsThe overall prevalence of overweight was 32.3% (male 34.3%; female 30.2%), and the prevalence of obesity was 14.6% (male 16.3%; female 12.8%) in Jilin Province. The prevalence of both overweight and obesity were higher in men than women (p<0.001). Influencing factors included sex, age, marriage status, occupation, smoking, drinking, diet and hours of sleep (p<0.05).ConclusionsThis study estimated that the prevalence of overweight and obesity among adult residents of Jilin Province, northeast China, were high. The results of this study will be submitted to the Health Department of Jilin Province and other relevant departments as a reference, which should inform policy makers in developing education and publicity to prevent and control the occurrence of overweight and obesity.

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“…Overweight or obese people are more prone to develop prehypertension and hyperglycemia [ 9 , 10 ] than the general population. Recent studies have shown that adult men with obesity and overweight problems have a lower sleep quality than those of adult men in other body mass index (BMI) groups [ 11 ]. Obesity also worsens children’s cardio-metabolic health in their adulthood [ 12 ] and increases comorbidities [ 13 ].…”

Section: Introductionmentioning

confidence: 99%

Social disparities in body mass index (BMI) trajectories among Chinese adults in 1991–2011

Fang

Liang

2017

Int J Equity Health

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BackgroundObesity is a serious public health problem in China. The relationship between obesity and socio-economic status (SES) is changing and affected by uncertainty, particularly, in developing countries. The sex-related differences in body mass index (BMI) trajectories are controversial and require substantial empirical data for updating and enriching.MethodsThis study examined the relationship between SES and BMI in Chinese adults from a dynamic perspective using longitudinal data (1991–2011) from the China Health and Nutrition Survey (CHNS). Then, sex-related differences were determined. A hierarchical linear model was used.ResultsSES positively affected the male BMI changes, with faster BMI growth rates in the high-SES males over the past 20 years. By contrast, female BMI was only affected by BMI baseline and residential area. Specifically, greater BMI baseline led to greater BMI growth rate and earlier BMI decline. In the past 20 years, the BMI growth rate has been greater in the urban females than in the rural females.ConclusionsThe relationship between SES and obesity is complex in China, and a substantial sex-related difference exists. We argue that this large sex-related difference is due to the rapid economic and social changes that have affected national health and increased the gender inequality and social role restrictions in females. We provide insights for further research and policy recommendations.

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Poor sleep quality associated with obesity in men

Abstract: Sleep quality was negatively associated with overweight/obesity in Chinese men but not in women.

Cited by 23 publications

References 34 publications

The Prevalence of Underweight, Overweight/Obesity and Their Related Lifestyle Factors in Indonesia, 2014–15

The Prevalence of Underweight, Overweight/Obesity and Their Related Lifestyle Factors in Indonesia, 2014–15

Prevalence of overweight and obesity and some associated factors among adult residents of northeast China: a cross-sectional study

Social disparities in body mass index (BMI) trajectories among Chinese adults in 1991–2011

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