Greenness and birth outcomes in a range of Pennsylvania communities

International Journal of Environmental Research and Public Health

Volumn 13, Issue 3, 2016, Pages

  Casey, Joan A ^a   James, Peter ^b   Rudolph, Kara E ^a   Wu, Chih Da ^c   Schwartz, Brian S ^d,e,f  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^c NATIONAL CHIAYI UNIVERSITY   (Taiwan)

^d JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH   (United States)

^e JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

^f GEISINGER MEDICAL CENTER   (United States)

Author keywords

Greenness; Low birth weight; Machine learning; Pregnancy outcome; Preterm birth; Propensity score; Small for gestational age

Indexed keywords

HEALTH IMPACT; MACHINE LEARNING; PREGNANCY; PUBLIC HEALTH; VEGETATION;

ADULT; APGAR SCORE; ARTICLE; BIRTH WEIGHT; CITY; COMMUNITY; CONTROLLED STUDY; ELECTRONIC MEDICAL RECORD; ENVIRONMENTAL FACTOR; FEMALE; GREENNESS; HUMAN; INFANT; MALE; PREGNANCY OUTCOME; PREMATURE LABOR; PRENATAL DEVELOPMENT; PROPENSITY SCORE; SATELLITE IMAGERY; SMALL FOR DATE INFANT; UNITED STATES; VEGETATION; COMPARATIVE STUDY; DEMOGRAPHY; ENVIRONMENT; NEWBORN; PENNSYLVANIA; PREGNANCY; PREGNANT WOMAN; PSYCHOLOGY; QUALITY OF LIFE; STATISTICS AND NUMERICAL DATA; YOUNG ADULT;

PENNSYLVANIA; UNITED STATES;

ADULT; BIRTH WEIGHT; CITIES; ENVIRONMENT; FEMALE; HUMANS; INFANT, NEWBORN; MALE; PENNSYLVANIA; PREGNANCY; PREGNANCY OUTCOME; PREGNANT WOMEN; QUALITY OF LIFE; RESIDENCE CHARACTERISTICS; YOUNG ADULT;

EID: 84960411061     PISSN: 16617827     EISSN: 16604601     Source Type: Journal    
DOI: 10.3390/ijerph13030311     Document Type: Article

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