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. 2019 Nov 30;16(23):4818. doi: 10.3390/ijerph16234818

Table 1.

Characteristics of the included studies.

Study Publication Study Design Study Population Measurement of Self-Rated Health Measurement of Green Space Measurement of Blue Space Operationalisation of Sex/Gender Source of Sex/Gender Data Terminology
Björk et al. [27] Cross-sectional, Public Health Survey in southern Sweden, 2004 N = 24,819, female = 54.3%, suburban/rural, Sweden 7-point-likert scale (very poor to very good) Objective: Land and vegetation cover (CORINE), 100 m–300 m buffer no binary source not clearly defined,
but registry information was initially used to contact equal numbers of women and men via a mailed questionnaire
gender
Dadvand et al. [28] Cross-sectional, Health Survey of Barcelona, 2011 N = 3461, female = 52.1% urban, Spain 5-point-likert scale (excellent to bad) Objective: NDVI, 100 m–500 m buffer; land cover map, 300 m,
Subjective: Park within 10 min walk (self-report)
no binary source not clearly defined,
but registry information was initially used to select subjects for a face-to-face interview in a way to represent age and sex structure of districts
sex
Orban et al. [29] Cross-sectional, Heinz Nixdorf Recall Study, 2000–2003 N = 4480, female = 49.7%, urban, Germany 5-point-likert scale (very good to very poor) Objective: NDVI, 100 m–1000 m buffer no binary source not clearly defined,
only general statement that data was obtained through personal interviews and questionnaires
gender and sex interchangeably
Reklaitiene et al. [30] Cross-sectional, PHENOTYPE, 2006-2008 N = 6944, female = 54.6%, urban, Lithuania 5-point-likert scale (very good to very poor) Objective: Land cover map, <300 m, 300 m–999 m, ≥1 km Subjective: Park use (self-report) no binary source not clearly defined,
but registry information was initially used to draw a random sample stratified by gender and age, data was obtained through self-reported questionnaires
gender
Ruijsbroek et al. [31] Cross-sectional, PHENOTYPE, 2013 N = 3771, female = 55.5%, urban, Spain, Lithuania, Netherlands, United Kingdom 5-point-likert scale (excellent to poor) Objective: Land cover map (Urban Atlas) Subjective: Perceived amount and quality of green space (self-report) yes binary source not clearly defined, only general statement that data was obtained through face-to-face interviews or a postal questionnaire gender and sex interchangeably
Stronegger et al. [32] Cross-sectional, 2005 N = 997, female = 50.8%, urban, Austria 5-point-likert scale (very good to very bad) Subjective: Perceived amount of green space as part of environmental quality no binary question about gender was asked in a computer-assisted telephone interview gender
Triguero-Mas et al. [33] Cross-sectional, Catalonia Health Survey ESCA, 2010-2012 N = 8793, female = 50.1%, urban, Spain 5-point-likert scale (excellent to bad) Objective: NDVI, 300 m buffer; land cover map, 300 m yes binary source not clearly defined,
only general statement that data was obtained through interviews
gender

Abbreviations: CORINE = Coordination of Information on the Environment; ESCA = Enquesta de Salut de Catalunya; NDVI = Normalized Difference Vegetation Index; PHENOTYPE = Positive Health Effects of the Natural Outdoor Environment in Typical Populations in Different Regions in Europe.