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environmental factors in Alaskamay influenceBriarosaccus prevalence
clinical and methodological factorsinfluenceprevalence
familial , ethnic , and gender factors(passive) influenced byprevalence
a few selected socio - economic factorsmay influenceprevalence
other factors not included in APHA ’s modelsmight ... influenceprevalence
genetic and environmental factors and varies between populations worldwide(passive) is influenced byPrevalence
genetic and environmental factors and varies among populations worldwide(passive) is influenced byPrevalence
socio - economic factors and cultural influence(passive) is influenced more by ... than religious affiliationprevalence
reasons for presentation and human and environmental factorsinfluencingprevalence
the unique interaction between environmental and host factorsinfluencesprevalence
Immunological factors and other transmission dynamics between survey yearsmay have influencedprevalence
Obesity - related factors , such as increasing adiposity , metabolic disease and inflammationmay influenceprevalence
common infectious diseases , how they spread , social and economic consequences and the factorsinfluenceprevalence
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Locale specific factors , average family size , and immigration / emigration patternsmay influenceprevalence
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local environmental factors such as trauma associated with wars , road traffic accidents or poor obstetric care(passive) influenced byprevalence
to dramatically rise in developing countries , as greater numbers of people adopt a Western lifestyle , with all all its attendant consequences 's attendant consequences(passive) is setPrevalence
type of poultry , environmental site , and trading patterns(passive) was influenced byPrevalence
age , gender , race , Prevalence(passive) influenced by• Prevalence
overall and by age , gender and habitation(passive) is setPrevalence
The age - dependent increase in diabetesleadsprevalence
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school and age(passive) was influenced byPrevalence
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congenital spinal anatomy(passive) is also influenced byPrevalence
Different incentive parametersmay influenceprevalence
Food Safety and qualityhas createdprevalence
genetic and environmental aspects and varies between populations(passive) is influenced byPrevalence
the age of animals and the management grazing practices(passive) influenced byprevalence
factors and help - seeking style of depression among elderly population in Wenzhou area ( in Chineseinfluencingfactors and help - seeking style of depression among elderly population in Wenzhou area ( in Chinese
factors , and phenotypic and molecular characteristics in pregnant Chinese women DOIinfluencingfactors , and phenotypic and molecular characteristics in pregnant Chinese women DOI
factors and coping strategies among physiotherapy personnel in Lusaka , Kitwe and Ndola districts , Zambiacontributingfactors and coping strategies among physiotherapy personnel in Lusaka , Kitwe and Ndola districts , Zambia
, diagnosing well , living well , supporting well and dying well refpreventing well, diagnosing well , living well , supporting well and dying well ref
factors , and phenotypic and molecular characteristics in pregnant Chinese women Jialing Lininfluencingfactors , and phenotypic and molecular characteristics in pregnant Chinese women Jialing Lin
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factors and perceptionsinfluencingfactors and perceptions
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to an increase in medication usageleadingto an increase in medication usage
to an increase in related expendituresleadingto an increase in related expenditures
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a 10 % decline in populationscausesa 10 % decline in populations
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Factors Consequences of Obesity Intervention Research Federal AgencycontributingFactors Consequences of Obesity Intervention Research Federal Agency
type 2 diabetescausestype 2 diabetes
factors and control of food insecurityinfluencingfactors and control of food insecurity
factors and effect on occlusion Authorcontributingfactors and effect on occlusion Author
factors and effects on the primary dentitioncontributingfactors and effects on the primary dentition
from analysis of the data according to the protocols of NHANES III and NHANES 2001 - 2004 , respectivelyresultingfrom analysis of the data according to the protocols of NHANES III and NHANES 2001 - 2004 , respectively
factors and opportunities for harm prevention ( 2019contributingfactors and opportunities for harm prevention ( 2019
factors , screening and diagnosis of delirium at stationaryinfluencingfactors , screening and diagnosis of delirium at stationary
factors and perceived consequences of disturbed sleepcontributingfactors and perceived consequences of disturbed sleep
to increase by 24 % in developed countries and by 80 % in developing countriesmay setto increase by 24 % in developed countries and by 80 % in developing countries
ICD 10 and DSM V 11.00causesICD 10 and DSM V 11.00
factors and societal and gender views on domestic violencecontributingfactors and societal and gender views on domestic violence
factors and impact on bone and muscle health Investigatorcontributingfactors and impact on bone and muscle health Investigator
factors and consequences in daily life Lindgren , Ingrid LU ( 2013contributingfactors and consequences in daily life Lindgren , Ingrid LU ( 2013
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factors and spectrum among married couples in Southeast Nigeria - Outcome of Singleton Term Breech Deliveries at a University Teaching Hospital in Eastern Nigeria 083431290contributingfactors and spectrum among married couples in Southeast Nigeria - Outcome of Singleton Term Breech Deliveries at a University Teaching Hospital in Eastern Nigeria 083431290