360) ships with other cardiovascular (CV) risk factors among a middle-aged Chinese popula |
361) teristics, nutrient intake, and lifestyle factors among adolescents (mean age = 15.5 |
362) er (PTSD) and to identify associated risk factors among migrant workers 4 years afte |
363) Risk factors like age, BMI, procedure duration |
364) Many factors like host genetics and environment |
365) s burden due to a complex set of upstream factors like structural and cultural influ |
366) h sociodemographic, health, and lifestyle factors using a cross-sectional, populatio |
367) well as the interaction between community factors using a series of nested logistic |
368) tion of MAPK and downstream transcription factors using pharmacological inhibitors o |
369) e nature of foodstuffs routinely used and factors which influence how the procedure |
370) t excludes wider social and environmental factors, which influence household food ch |
371) ly increased the expression of angiogenic factors, which was consistent with in vitr |
372) In addition, factors with a possible influence on treat |
373) sence of depression were found to be risk factors with a score of ≤ 60. |
374) use is addressed mostly in terms of risk factors, with little focus on how to help |
375) ch indicated the influence of demographic factors (age, gender, level of education, |
376) ale and female, are determined by several factors (age, management, feeding, chemica |
377) ut psychological, behavioral, and dietary factors along with a physical and blood bi |
378) mpacts were also reported as contributing factors along with products such as trampo |
379) CVD) risks, psychosocial and work-related factors as predictors of health behavior. |
380) d more at risk for stroke and stroke risk factors as they become acculturated. |
381) The expression of the transcription factors c-Jun and ATF-2 were decreased in |
382) ERK/JNK pathways downstream transcription factors, c-Jun and ATF-2, were also activa |
383) However, many factors can affect the biostimulatory effe |
384) We developed a model to detect which factors can predict (prolonged) healing of |
385) Many uncertainty factors contribute to the dispersion of th |
386) disease is atherosclerosis, to which many factors contribute. |
387) Factors contributing to poorer health amon |
388) he absence of other support are important factors contributing to difficulties of fa |
389) ons that present similarly, precipitating factors, diagnostic and therapeutic consid |
390) ermined are composed of the following key factors: diagnostic findings, treatment al |
391) Chilean children with normal birth, four factors during the prenatal period and the |
392) y and poor living conditions), supportive factors during treatment (support from fam |
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