Heterogeneous associations of retirement with health and behaviors: A longitudinal study in 35 countries [0.03%]
一项35个国家的纵向研究：不同国家退休与健康和行为的关系异质性分析
Koryu Sato,Haruko Noguchi
Koryu Sato
Additionally, retirement was associated with a 4.3%-point decrease in physical inactivity and a 1.9%-point decrease in smoking among women, while no such associations were observed among men. Heterogeneity was not found across countries, educational levels, and pre-retirement job characteristics.
Tackling noncommunicable diseases in Africa through football: The case of Malawi [0.03%]
足球在非洲防控慢性病——马拉维案例分析
Allan Kangwerema,Mictum Miggo,Gracian Harawa et al.
Allan Kangwerema et al.
There is evidence that physical inactivity and dietary factors are more common among modifiable risk factors for noncommunicable diseases (NCDs) which are on the rise in Malawi.
Noncommunicable disease risk factors and cardiovascular risk among adults in Ethiopia: A cross-sectional study [0.03%]
埃塞俄比亚成年人非传染性疾病危险因素与心血管风险：一项横断面研究
Tilahun Tewabe Alamnia,Ginny M Sargent,Matthew Kelly
Tilahun Tewabe Alamnia
The prevalence of inadequate fruit/vegetable intake was 95.7%, alcohol consumption 53.0%, physical inactivity 37.9%, tobacco use 1.9%, khat use 5.1%, hypertension 20.7%, overweight/obesity 29.6%, and abdominal obesity 67.4%.
Impact of a primary care-based mobile health intervention to 'sit less and move more' on HbA1c, blood pressure, and other clinical outcomes in office employees with type 2 diabetes: A randomized controlled trial [0.03%]
基于移动健康的“少静多动”干预对办公室员工糖尿病患者糖化血红蛋白、血压等临床结局的影响：一项随机对照试验
Francesc Alòs,Ma Àngels Colomer,Judit Bort-Roig et al.
Francesc Alòs et al.
Background: Type 2 diabetes (T2D) is a prevalent and costly disease, with sedentary behaviour and physical inactivity as modifiable contributors.
[Physical activity in the digital age: Challenges and opportunities for primary care] [0.03%]
数字化时代的一级护理体力活动挑战与机遇
Francesc Alòs,Montserrat Romaguera,Francesc Xavier Cos Claramunt et al.
Francesc Alòs et al.
In this context, the integration of physical activity into clinical practice and the development of digital health strategies emerge as key approaches to addressing physical inactivity and sedentary behavior, particularly in situations of chronic conditions, aging, and frailty.
Cancer awareness through school curriculum: evidence and recommendations from a quasi-experimental study among school children in the State of Kerala, India [0.03%]
一项关于印度喀拉拉邦学校儿童的准实验研究：通过学校课程提高癌症意识的证据与建议
Phinse Mappalakayil Philip,Neethu Ambali Parambil,Maya Padmanabhan et al.
Phinse Mappalakayil Philip et al.
warning signs (unexplained lump or swelling (p = 0.0001), unexplained bleeding (p = 0.007), persistent cough or hoarseness (p = 0.0001), non-healing ulcers (p = 0.0001) and risk factors (consumption of fewer quantities of fruit and vegetables (p = 0.010), eating red or processed meat (p = 0.0001) and physical...inactivity (p = 0.01)).
Prevalence and Associated Factors of Depressive Symptoms and Major Depressive Disorder Among the Oldest-Old in India [0.03%]
印度老年人抑郁症状及抑郁症的流行病学特征及其影响因素
Supa Pengpid,Karl Peltzer,André Hajek et al.
Supa Pengpid et al.
Ratio-AOR: 1.22, 95% Confidence Interval-CI: 1.03-1.44), lower subjective economic status (AOR: 0.90, 95% CI: 0.82-0.98), lower self-rated health status (AOR: 0.78, 95% CI: 0.66-0.93), lower life satisfaction (AOR: 0.66, 95% CI: 0.56-0.78), higher functional disability (AOR: 1.18, 95% CI: 1.06-1.32), physical...inactivity (AOR: 1.57, 95% CI: 1.09-2.28), and higher perceived discrimination (AOR: 1.49, 95% CI: 1.35-1.64) increased the odds of depressive symptoms, and higher food insecurity (AOR: 1.31, CI: 1.02-1.68), lower self-rated health status (AOR: 0.65, 95% CI: 0.50-0.85), higher functional disability
Predictors of metabolic syndrome among teachers in under-resourced schools in South Africa: Baseline findings from the KaziHealth workplace health intervention [0.03%]
南非资源匮乏学校教师代谢综合征的预测因素：来自KaziHealth工作场所健康干预的基线研究结果
Nandi Joubert,Larissa Adams,Jan Hattendorf et al.
Nandi Joubert et al.
Addressing physical inactivity and unhealthy diets through tailored interventions is crucial to reducing MetS prevalence and improving the health of teachers working in low-resourced settings.
[Change in physical activity behavior due to the first two coronavirus waves in spring and winter 2020] [0.03%]
[2020年春冬季新冠肺炎前两波疫情导致的居民身体活动行为变化]
Miriam Müller,Susanne Tittlbach
Miriam Müller
Background: As physical inactivity is one of the leading risk factors for noncommunicable diseases worldwide, it is of particular interest how the coronavirus pandemic affects physical activity behavior.
Distinguishing associations between neighbourhood features and physical inactivity, sedentary behaviour time, and screen time in boys and girls [0.03%]
鉴别居住区特征与男孩和女孩身体不活动、久坐不动时间和屏幕时间之间的联系
Ana Andreea Lungu,Adrian E Ghenadenik,Andraea Van Hulst et al.
Ana Andreea Lungu et al.
Objective: Physical inactivity (PI), sedentary behaviour time (SB) and screen time (ST) are related but distinct behaviors for which separate research and environmental intervention frameworks may be warranted. We examine...
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