1.Cultural stress: The undiagnosed epidemic of our time.
Journal of Integrative Medicine 2023;21(3):221-225
Global technologies that have made the world more interconnected have also, inadvertently, amplified the forces of stress that are now with us 24 hours a day, 7 days a week. The accumulated impact of this stress I call cultural stress anxiety syndrome and call on integrative medicine practitioners to recognize that it is exacerbating whatever acute stressors are also present in our patients' lives. In this Commentary, I outline seven major components of cultural stress (time pressure, digital intrusion, digital dependency, isolation, sedentary lifestyle, poor sleep and uncertainty), describe their health consequences, and finally, offer cultural stress-specific remedies I have utilized in my own practice, along with studies that affirm their efficacy. My hope is that we, as integrative medicine practitioners who are cognizant of the role that stress plays in disease development, will more fully appreciate the added impact of cultural stress, and advise our patients on the importance of proactive stress management. Please cite this article as: Murad H. Cultural stress: the undiagnosed epidemic of our time. J Integr Med. 2023; 21(3): 221-225.
Humans
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Integrative Medicine
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Sedentary Behavior
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Anxiety
2.Independent and joint effect of chronotype and sleep duration on self-rated health in medical students.
Pan DING ; Jin Yong LI ; Xiao Li YE ; Xiao Han YIN ; Dan Ni QIAN ; Chong Zhou ZHONG ; Hong Ying SHI
Chinese Journal of Epidemiology 2022;43(11):1796-1803
Objective: To investigate the independent and joint effects of chronotype and sleep duration on self-rated health in medical students. Methods: A cross-sectional study was conducted in 1 526 medical students selected through proportional stratified cluster random sampling from a medical university in Zhejiang province. A questionnaire survey was conducted to collect the information about their basic demographic characteristics, chronotype, sleep duration, and other lifestyle factors such as midnight snack, sedentary behavior, physical activity, meal time, and self-rated health. The independent and joint effects of chronotype and sleep duration on self-rated health were assessed by logistic regression model after controlling for confounding variables. Results: The numbers of the students with evening chronotype, neutral chronotype, and morning chronotype were 664 (43.5%), 442 (29.0%), and 420 (27.5%), respectively. Among the medical students, 42.8% (653) had poor self-rated health. Compared with those with the morning chronotype, the adjusted ORs for those with neutral chronotype and evening chronotype were 1.69 (95%CI: 1.23-2.31) and 2.43 (95%CI: 1.81-3.26), respectively, trend test P<0.001. Compared with those with sleep duration of 8 h or above per night, the adjusted ORs for those with sleep duration of 7 and ≤6 h per night were 1.40 (95%CI: 1.07-1.84) and 2.38 (95%CI: 1.69-3.37), respectively, trend test P<0.001. In the joint effect, compared with those with the morning chronotype and sleep duration of 8 h or above per night, the adjusted OR for those with evening chronotype and sleep duration of ≤6 h per night was 6.53 (95%CI: 3.53-12.09). Conclusions: Both evening chronotype and insufficient sleep were associated with increased odds of poor self-rated health in medical students, and they had joint effects. Therefore, it is necessary to promote early to bed, early to rise and adequate sleep in medical student to maintain their health.
Humans
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Students, Medical
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Cross-Sectional Studies
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Sedentary Behavior
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Sleep
3.The correlation of physical activity and sedentary leisure time with low muscle mass, strength, and quality in Chinese adults.
Lang PAN ; Man WU ; Qiao Rui WEN ; Jun LYU ; Yu GUO ; Pei PEI ; Huai Dong DU ; Jun Shi CHEN ; Can Qing YU ; Zheng Ming CHEN ; Li Ming LI
Chinese Journal of Epidemiology 2022;43(2):162-168
Objective: To explore the relationship of physical activity and sedentary leisure time with muscle mass, strength, and quality in Chinese adults. Methods: Based on the second resurvey of China Kadoorie Biobank (CKB) in 2013-2014, logistic regression models were used to analyze the correlation of physical activity and sedentary leisure time with low muscle mass, grip strength, and muscle quality. Results: A total of 24 245 participants were included in the analysis. The average daily physical activity level was (18.3±13.8) MET-h/d, and the sedentary leisure time was (4.4±1.9) hours. We took the lowest physical activity quartile as the reference and found that the participants' physical activity was negatively correlated to low muscle mass, strength, and quality. The ORs (95%CIs) of low appendicular skeletal muscle mass index (ASMI), low total skeletal muscle mass index (TSMI), low grip strength and low arm muscle quality (AMQ) were 0.68 (0.60-0.77), 0.66 (0.58-0.75), 0.82 (0.72-0.94) and 0.84 (0.74-0.95), respectively. The subtypes of physical activity, including those related to work, transportation, housework, and leisure, also showed negative correlations with low muscle mass, strength, and quality to varying degrees. Compared with participants with the shortest sedentary leisure time, those who had the longest were more likely to have low TSMI (OR=1.13, 95%CI: 0.99-1.30). Conclusions: Physical activity was negatively correlated with a lower risk of low muscle mass and strength, while longer sedentary leisure time positively correlated with low muscle mass.
Adult
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China
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Exercise
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Humans
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Leisure Activities
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Muscles
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Sedentary Behavior
4.Joint association of sedentary behavior and physical activity on anxiety tendency among occupational population in China.
Yu Hua LIU ; Qing Ping YUN ; Lan Chao ZHANG ; Xiao Yue ZHANG ; Yu Ting LIN ; Fang Jing LIU ; Zhi Jie ZHENG ; Chun CHANG
Journal of Peking University(Health Sciences) 2022;54(3):490-497
OBJECTIVE:
To investigate the status and influencing factors of anxiety tendency among occupational population in China and to examine the joint association between sedentary behavior and physical activity with anxiety tendency.
METHODS:
The data were from the 2021 Asia Best Workplace (Chinese mainland) program. The Generalized Anxiety Tendency scale was used to assess employees' anxiety status, and Logistic regression was used to analyze the factors influencing anxiety tendency and calculate the odds ratio (OR) within different groups. The OR of sitting for each sitting-physical activity (PA) combination group and within PA strata were calculated to explore the joint association.
RESULTS:
A total of 11 903 workers with an average age of 32.9 years were included in this study. Among them, 3 562 workers had anxiety tendency (29.9%) and the prevalence of those under 40 years old (30.6%) was significantly higher than the other age group (26.7%). 41.0% of the respondents had the moderated to vigorous physical activity. Their average daily sitting time was 9.4 h, and the percentage of those who exceeded 8 h sitting reached 73.9% in the past week. The analysis of Logistic regression showed that smoking (OR=1.24, 95%CI: 1.23-1.39), longer sedentary time and lower physical activity level were risk factors for anxiety tendency, and longer average daily sleep time (OR=0.56, 95%CI: 0.51-0.61) was a protective factor. The joint association analysis and stratified analysis of physical activity and sedentary behavior with anxiety tendency showed that increased sedentary time combined with decreased physical activity intensity was significantly associated with increased risk of anxiety tendency (range of OR: 1.64-3.14). The threshold for sedentary time in total as a risk factor for anxiety tendency gradually decreased as physical activity intensity increased.
CONCLUSION
The anxiety tendency and sedentary behavior among the occupational population should recieve more attention. Lack of physical activity and sedentary behavior are both risk factors for anxiety tendency, and strengthening the intensity of physical activity can attenuate the harmful effects of sedentary behavior on anxiety tendency.
Adult
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Anxiety/epidemiology*
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China/epidemiology*
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Exercise
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Humans
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Sedentary Behavior
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Sleep
5.Consensus statement on Singapore integrated 24-hour activity guide for children and adolescents.
Benny Kai Guo LOO ; Benedict TAN ; Michael Yong Hwa CHIA ; Poh Chong CHAN ; Dinesh SIRISENA ; Mohammad Ashik ZAINUDDIN ; Jean Yin OH ; Oon Hoe TEOH ; Teresa Shu Zhen TAN ; Micheal Chee Meng LIM ; Ethel Jie Kai LIM ; Falk MÜLLER-RIEMENSCHNEIDER ; Ngiap Chuan TAN ; Ratnaporn SIRIAMORNSARP ; Terry Chin Chye TEO ; Phaik Ling QUAH ; Victor Samuel RAJADURAI ; Kok Hian TAN ; Kee Chong NG
Annals of the Academy of Medicine, Singapore 2022;51(5):292-299
INTRODUCTION:
Lifestyle activities, such as regular physical activity, are important for good metabolic health and the prevention of non-communicable diseases. Epidemiological studies highlight an increase in the proportion of overweight children in Singapore. A workgroup was formed to develop recommendations to encourage children and adolescents (aged 7-17 years) to adopt a holistic approach towards integrating beneficial activities within a daily 24-hour period for good metabolic and general health.
METHODS:
The Grading of Recommendations Assessment, Development and Evaluation (GRADE) Evidence to Decision framework was employed to formulate the public health question, assess the evidence and draw conclusions for the guide. The evidence for international 24-hour movement guidelines, and guidelines for physical activity, sedentary behaviour, and sleep and eating habits were reviewed. An update of the literature review from August 2018 to end of September 2020 was conducted through an electronic search of Medline and Cumulative Index to Nursing and Allied Health Literature (CINAHL) databases.
RESULTS:
Ten consensus statements were developed. The statements focused on the overall aim of achieving good metabolic health through integration of these activities and initiatives: light and moderate- to vigorous-intensity physical activity on a regular basis; muscle- and bone-strengthening activities; limiting sedentary behaviour; regular and adequate sleep; good eating habits and choosing nutritionally balanced foods and drinks; practise safety in exercise; and aiming to achieve more or all aforementioned recommendations for the best results.
CONCLUSION
This set of recommendations provides guidance to encourage Singapore children and adolescents to adopt health-beneficial activities within a 24-hour period.
Adolescent
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Child
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Exercise
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Humans
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Public Health
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Sedentary Behavior
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Singapore
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Sleep
6.Parental perception and guideline awareness of children's lifestyle behaviours at ages 5 to 14 in Singapore.
Phaik Ling QUAH ; Benny Kai Guo LOO ; Nurul Syaza RAZALI ; Nurul Sakinah RAZALI ; Chin Chye TEO ; Kok Hian TAN
Annals of the Academy of Medicine, Singapore 2021;50(9):695-702
INTRODUCTION:
There are limited data on the descriptive lifestyle behaviour of school-age children in Singapore.
METHODS:
A total of 100 parents of children ages 5 to 14 participated in a parents' proxy-reported survey. Frequency of moderate physical activity (PA) and vigorous PA was assessed, while t-tests or chi-square test was used to examine differences between weekdays and weekends for sleep, screen viewing time (SVT) and sedentary behaviour (SB).
RESULTS:
Of the 100 children (68% of Chinese ethnicity, 59% boys, mean age 9.1±2.9 years), 31% were overweight or obese, with body mass index z-score of >1. For moderate and vigorous PA participation in a typical week, 32.0% and 43.0%, respectively, did not participate, while median (interquartile range) days of participation were 3 (2-3) days/week and 2 (1-3) days/week for a duration of 60 (interquartile range 30-120) minutes/session. When comparing weekends with weekdays, the means (standard deviation) of both SVT and sleep duration were higher on weekends (SVT: 4.1 [2.9] versus 3.3 [3.1] hours/day,
CONCLUSION
Lifestyle behaviours were suboptimal in Singapore children compared with existing overseas guidelines, indicating a need for an integrated guideline with greater dissemination.
Adolescent
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Child
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Child, Preschool
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Exercise
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Female
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Humans
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Male
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Parents
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Perception
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Sedentary Behavior
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Singapore
7.Independent and joint association of physical activity and sedentary behavior on all-cause mortality.
Wei ZHOU ; Wei YAN ; Tao WANG ; Ling-Juan ZHU ; Yan XU ; Jun ZHAO ; Ling-Ling YU ; Hui-Hui BAO ; Xiao-Shu CHENG
Chinese Medical Journal 2021;134(23):2857-2864
BACKGROUNDS:
Physical activity (PA) and sedentary behavior (SB) have been associated with mortality, while the joint association with mortality is rarely reported among Chinese population. We aimed to examine the independent and joint association of PA and SB with all-cause mortality in southern China.
METHODS:
A cohort of 12,608 China Hypertension Survey participants aged ≥35 years were enrolled in 2013 to 2014, with a follow-up period of 5.4 years. Baseline self-reported PA and SB were collected via the questionnaire. Kaplan-Meier curves (log-rank test) and Cox proportional hazards regression were performed to evaluate the associations of PA and SB on all-cause mortality.
RESULTS:
A total of 11,744 eligible participants were included in the analysis. Over an average of 5.4 years of follow-up, 796 deaths occurred. The risk of all-cause mortality was lower among participants with high PA than those with low to moderate level (5.2% vs. 8.9%; hazards ratio [HR]: 0.75, 95% confidence interval [CI]: 0.61-0.87). Participants with SB ≥ 6 h had a higher risk of all-cause mortality than those with SB <6 h (7.8% vs. 6.0%; HR: 1.37, 95% CI: 1.17-1.61). Participants with prolonged SB (≥6 h) and inadequate PA (low to moderate) had a higher risk of all-cause mortality compared to those with SB < 6 h and high PA (11.2% vs. 4.9%; HR: 1.67, 95% CI: 1.35-2.06). Even in the participants with high PA, prolonged SB (≥6 h) was still associated with the higher risk of all-cause mortality compared with SB < 6 h (7.0% vs. 4.9%; HR: 1.33, 95% CI: 1.12-1.56).
CONCLUSIONS
Among Chinese population, PA and SB have a joint association with the risk of all-cause mortality. Participants with inadequate PA and prolonged SB had the highest risk of all-cause mortality compared with others.
Exercise
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Humans
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Proportional Hazards Models
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Sedentary Behavior
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Self Report
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Surveys and Questionnaires
8.Replacing school and out-of-school sedentary behaviors with physical activity and its associations with adiposity in children and adolescents: a compositional isotemporal substitution analysis.
Aleš GÁBA ; Jan DYGRÝN ; Nikola ŠTEFELOVÁ ; Lukáš RUBÍN ; Karel HRON ; Lukáš JAKUBEC
Environmental Health and Preventive Medicine 2021;26(1):16-16
BACKGROUND:
Little is known on how context-specific sedentary behaviors (SB) affect adiposity. This study aimed to investigate compositional associations between context-specific SB and adiposity and estimate the differences in adiposity associated with replacing school and out-of-school SB with physical activity (PA).
METHODS:
This study included 336 children and adolescents. Time spent in SB and PA was estimated using multi-day 24-hour raw accelerometer data. SB and PA were specified for school and out-of-school times. Fat mass percentage (FM%) and fat mass index (FMI) were used as adiposity indicators. A compositional isotemporal substitution model was used to estimate differences in adiposity associated with one-to-one reallocations of time from context-specific SB to PA.
RESULTS:
Participants spent approximately two thirds of their school and out-of-school time being sedentary. Relative to the remaining 24-h movement behaviors, significant associations between out-of-school SB and adiposity were found in both boys (β
CONCLUSIONS
A reduction of out-of-school SB in favor of light PA should be advocated as an appropriate target for interventions and strategies to prevent childhood obesity.
Accelerometry
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Adiposity
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Adolescent
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Child
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Czech Republic
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Exercise
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Female
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Humans
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Male
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Schools
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Sedentary Behavior
9.Research on the association between physical activity and type 2 diabetes.
Xing Xing GAO ; Li Min WANG ; Chen Yi LIU ; Mei ZHANG
Chinese Journal of Epidemiology 2022;43(10):1681-1684
Type 2 diabetes mellitus (T2DM) has become a significant public health problem affecting the health of our population. Physical inactivity is a significant risk factor for the occurrence and development of major chronic diseases, including T2DM, and appropriate physical activity patterns and levels have positive implications for the prevention and treatment of T2DM. This paper reviews the progress and results of domestic and international studies on the relationship between physical activity and the occurrence, development, and mortality of T2DM in recent years to support the improvement of strategies and measures for the prevention and management of diabetes in general and high-risk populations in China.
Humans
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Diabetes Mellitus, Type 2
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Exercise
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Sedentary Behavior
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Risk Factors
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Public Health
10.Sedentary behavior, screen time and mental health of college students: a Meta-analysis.
Xue Lei GAO ; Jing Hua ZHANG ; Yang YANG ; Zhen Bo CAO
Chinese Journal of Epidemiology 2023;44(3):477-485
Objective: To evaluate the effects of sedentary behavior/screen time on mental health of college students by Meta-analysis based on the results of literature retrieval and provide theoretical basis for the improvement of college students' mental health. Methods: The original research literatures about sedentary behavior (including screen time) and college students' mental health published as of 14 July 2022 were retrieved from PubMed, Embase, Cochrane Library, CNKI, VIP and Wanfang data. Data were extracted from the included studies and scored by one author in accordance with the proposed programme, and quality score was reviewed by another author. The literature that met the inclusion criteria was systematically reviewed and Meta-analysis was carried out by software Stata 14.2 based on the data from the literatures. Results: A total of 36 studies met the inclusion criteria, including 35 observational studies and 1 interventional study. There are 4 papers about the effects of sedentary behavior and 9 papers about the effects of screening time on depression in college students and 4 papers about the effects of sedentary behavior/screening time on anxiety in college students were used for a Meta-analysis, and the other studies were also analyzed. The Meta-analysis on the effects of sedentary behavior on depression in college students showed that there was a significant positive correlation between higher level sedentary behavior and increased risk for depression (OR=1.07,95%CI:1.05-1.10). Subgroup analysis indicated that there was no significant correlation between higher level sedentary behavior and depression (OR=1.74, 95%CI:0.93-3.25) in the unadjusted confounding factor model, but there was significance positive correlation after adjusting confounding factors (OR=2.15, 95%CI:1.18-3.90). Meta-analysis on the effects of screen time on depression in college students showed that longer screen time were significantly positively correlated with higher depression level (OR=1.03, 95%CI: 1.02-1.05). The results of subgroup analysis showed that in both unadjusted confounding factor model and adjusted confounding factor model, longer screen time was significantly positively correlated with depression (OR=1.27, 95%CI: 1.13-1.42; OR=1.45, 95%CI: 1.18-1.79) , respectively. Meta-analysis on the effects of sedentary behavior on anxiety showed that longer screen time was significantly positively correlated with increased anxiety risk (OR=1.44, 95%CI: 1.31-1.58). The results of subgroup analysis showed that in both unadjusted confounding factor model and adjusted confounding factor model, there was a significant positive correlation between longer screen time and anxiety (OR=1.47, 95%CI: 1.31-1.65; OR=1.38, 95%CI:1.17-1.62). The analysis for the literatures which were not eligible for Meta-analysis found that sedentary behavior/screen time was significantly associated with stress and other mental health in college students. Conclusions: Sedentary behavior or screen time is significantly negatively correlated with college students' mental health, in particular, resulting in depression and anxiety. These effects might be be different between weekdays and weekend days.
Humans
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Mental Health
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Depression/diagnosis*
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Sedentary Behavior
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Screen Time
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Students/psychology*