Author, Date, Reference	Country	Type of cancer	Study design	Measured SES	PA	Theoretical model
		Time of treatment
Aarts et al. 2013 [71]	The Netherlands	Breast, colon, lung, prostate	Prospective Cohort	Education	Subjective	No
		After
Adams et al. 2013 [55]	Australia	Not studied	Cross-sectional	Sex, education, before-tax household income, occupation, country of birth, area of residence (metropolitan or regional)	Subjective	No
		Before
Advani et al. 2014 [98]	USA	Not studied	Cross-sectional	Income (financial strain), ethnic group	Subjective	No
		After
Ahmed et al. 2018 [86]	Saudi Arabia	Breast, colorectal, leukemia, lymphomia, others	Cross-sectional	Age, sex, university degree, marital status, family support, employment status	Subjective	No
		During
Akinyemiju et al. 2014 [29]	18 African countries	Breast, cervical, colorectal, liver, prostate	Cross-sectional	Countries	Subjective	No
		Before
Akinyemiju et al. 2018 [56]	USA	Breast, colorectal, prostate	Prospective cohort	Race	Subjective	No
		Before
Akinyemiju et al. 2017 [30]	India, China, Mexico, Russia & South Africa	Breast	Cross-sectional	Countries, individual and parental SES (education, employment status), lifecour-se SES (education, employment status)	Subjective	No
		Before
Akinyemiju et al. 2017 [68]	USA	Breast, colon, prostate, others	Prospective cohort	Race, sex, region	Subjective	No
		Before
Alazzeh & Azzeh, 2018 [87]	Saudi Arabia	Colorectal	Case–control	Employment, family income, educational level, family size	Subjective	No
		During
AlSaeed & Tunio, 2017 [99]	Saudi Arabia	Brain, breast, colon, gastric, leukemia, liver, lymphoma, kidney, ovary, prostate, sarcoma, testicular, thyroid, uterine	Cross sectional	Marital status, employment	Subjective	No
		Before
Amuta et al. 2018 [78]	USA	Not studied	Cross-sectional	Age, income ranges, level of education, marital status, race, sex	Subjective	No
		Before
Andersen et al. 2016 [100]	USA	All cancer	Cohort	Low-income, ethnic population	Subjective	No
		Before
Anderson et al. 2019 [79]	USA	Epithelial Ovarian Cancer (EOC)	Observational	Individual, social (perceived social support) and societal factors (low family income, low educational attainment and perceived discrimination)	Subjective	No
		During
Andrykowski, 2012 [43]	USA	Male Breast cancer	Case–control	Age, sex, race and ethnicity, education, martial status, annual household income, employment status	Subjective	No
		After
Aparicio-Ting et al. 2012 [48]	Canada	Not studied	Cross-sectional	Age, sex, annual household income, educational attainment, martial status, employment status, social support, urban or rural residence	Subjective	No
		Before
Aparicio-Ting et al, 2014 [49]	Canada	Not studied	Cross-sectional	Age, sex, annual household income, educational attainment, employment status, marital status	Subjective	No
		Before
Asare et al. 2019 [67]	USA	Breast, genitourinary, gynecologic, head, hematologic, lung, neck, other	Cross-sectional	Race/ethnicity and social determinants of health (SDH; i.e. economic stability, education, access to health care)	Subjective	Social determina-nts of health (SDH) theoretical framework
		After
Astell-Burt et al. 2014 [84]	Australia	Skin (melanoma and non-melanoma)	Cross-sectional	Green space exposure	Subjective	No
		Before
Azevêdo et al. 2015 [101]	Brazil	Gastric	Transversal	Sex, age, origin of residence, income, education, occupation	Subjective	No
		During
Badr et al. 2018 [31]	USA and Lebanon	Breast	Cross-sectional	Age, marital status, education, employment, perceived economic status, religion	Subjective	No
		Before
Batty et al. 2011 [39]	UK	Prostate	Prospective	Civil service employment grade, marital status	Subjective	No
		During
Berry et al. 2014 [74]	Australia	Breast, gastrointestinal, prostate, skin, testicular	Cross-sectional	Education, social environment, work status, family structure, income, first language other than English	Subjective	No
		After		Socio-Economic Indexes for Areas (SEIFA) score used
Bersvendsen et al. 2019 [57]	Norway	Lymphoma	Cross-sectional	Household income, education, paired relationship (married or cohabitant)	Subjective	No
		After
Bifulco et al. 2013 [102]	Italy	Gynecologic	Cohort	Education, employment	Subjective	No
		During
Bock et al. 2013 [33]	Germany	Breast	Cohort	Citizenship, employment, marital status, educational level	Subjective	No
		All time
Chatterjee et al. 2015 [103]	USA	Colorectal	Cross-sectional	Age, sex, race/ethnicity, health insurance, education, employment, income	Subjective	No
		Before
Chipperfield et al. 2013 [40]	Australia	Prostate	Cross-sectional	Employment status, marital status, education, treatment centre (urban or rural)	Subjective	No
		During
Chouhdari et al. 2019 [104]	Iran	Colorectal	Cross-sectional	Age, sex, educational level, job, income, health insurance, employment status	Subjective	No
		Before
Cirera et al. 2019 [32]	10 European countries	Pancreatic	Cohort	Education,	Subjective	No
		After		Relative index of inequality (RII) used
Dianatinasab et al. 2018 [88]	Iran	Breast	Cross-sectional	Age, education, income, marital status, number of children, place of residency	Subjective	No
		During
Diorio et al. 2018 [50]	USA	Acute Lymphocytic Leukemia (ALL), Acute Myeloid Leukemia (AML), Brain tumor, Lymphoma, Solid tumor, Other	Cross-sectional	Age, sex, ethnicity, type of insurance, education	Subjective	Transtheoretical Model for dietary fat, fruit and vege-table intakes and physical activity only measured
		During and after
Doubeni et al. 2012 [89]	USA	Colorectal	Cross-sectional	Education, employment status, ethnicity, jobs, households, marital status	Subjective	No
		Before
Ekenga et al. 2015 [105]	USA	Breast	Prospective	Employment status	Subjective	No
		Before
Fassier et al. 2017 [34]	France	Breast, colon-rectum, prostate, skin, other	Prospective cohort	Sex, age, living area, employment status, monthly income per household unit, educational level	Subjective	No
		Before and after
Fassier et al. 2016 [35]	France	Breast, colon-rectum, prostate, skin, other	Prospective cohort	Sex, age, living area, employment status, monthly income per household unit, educational level	Subjective	No
		Before and after
Friis et al. 2018 [66]	Denmark	Bladder, brain, breast, colorectal, gynaecological, kidney, leukaemia, lung, lymphoma, oral, prostate, skin melanoma, testicular, thyroid, other	Cross-sectional	Social inequality, sex, age, ethnic background, cohabitation status, education	Subjective	No
		After
Goodwin et al. 2020 [83]	Australia	Bowel, breast, cervical, prostate, skin	Cross-sectional	Residential location, SES	Subjective	No
		Before
Gunes-Bayir et al. 2015 [106]	Turkey	Breast, colon, endometrial, gall bladder, head, liver, lung, neck, ovarian, pancreas, prostate, rectum, soft tissue-bone, stomach, urinary bladder	Cross-sectional	Age, sex, marital status, education, occupation, living situation (villages, town city, metropolitan), sex, marital status	Subjective	No
		During
Hair et al. 2014 [69]	Australia	Breast	Cohort study	Race	Subjective	No
		After
Hang et al. 2015 [107]	China	Colorectal	Retrospective case–control	Sex, age, educational level	Subjective	No
		During
Harrington et al. 2013 [41]	USA	Prostate	Cross-sectional	Education, partner status, employment, distance of residence from medical center	Subjective	No
		During
Hastert et al. 2016 [108]	USA	Not mentionned	Prospective cohort	Area-level SES used	Subjective	No
		Before
Howard et al. 2019 [90]	USA	Not mentionned (cancer mortality)	Cross-sectional	Education level, marital status, household size, income, poverty income ratio (ratio of family income to poverty threshold), health insurance	Subjective	No

Hughes et al. 2019 [42]	Australia	Prostate	Cohort	Education, residence, employment status, marital status, support group participation	Subjective	No
		After
Hvidtfeldt et al. 2013 [72]	Denmark	Breast	Cohort	Education	Subjective	Model describing the effect of SEP on breast cancer thro-ugh alcohol consu-mption and PA
		Before
Inumaru et al. 2012 [109]	Brazil	Breast	Case–control	Capita income, education level, area of residence	Subjective	No
		During
Ishii et al. 2013 [52]	Japan	Colon	Cross-sectional	Sex, age, education level, employment status, marital status, living conditions, household income level	Subjective and Objective	No
		Before
Ishii et al. 2011 [53]	Japan	Colon	Cross-sectional	Sex, age, education level, employment status, marital status, living conditions, household income level	Subjective and Objective	No
		Before
Johannsen et al. 2015 [110]	Denmark	Breast	Prospective	Marital status, education, personal income, occupational status, household net-wealth	Subjective	No
		After
Kaul et al. 2017 [58]	USA	Breast, cervix, colon or rectum, leukemia, lymphoma or blood, melanoma, ovary, prostate, testicular, thyroid, uterus	Cross-sectional	Sex, age at survey, race and ethnicity, marital status, insurance status	Subjective	No
		After
Keegan et al. 2014 [111]	USA	Breast	Case–control	Neighbourhood-level SES	Subjective	No
		After
Khadanga et al. 2016 [36]	USA	Breast	Cohort	Education, income, marital status	Subjective	No
		Before
Kim et al. 2010 [112]	USA	Colon, rectal	Cohort	Neighbourhood-level SES, income, education, occupational status, age, race/ethnicity, close friends	Subjective	No
		Before
Kouloulias et al. 2019 [113]	Greece	Breast	Observational	Residence, education, income	Subjective	No
		Before
Lewis et al. 2014 [65]	USA	Colon	Cohort	Race, sex	Subjective	No
		During
Lowe et al. 2012 [59]	Canada	Not studied	Cross-sectional	Sex, age	Subjective	Theory of planned behavior
		During				(Social cognitive model)
Meraviglia & Stuifbergen, 2011 [77]	USA	Breast, colon, gallbladder, hematologic, leukemia, lung, myeloma, prostate, uterine	Qualitative	Income	Subjective	No
		Before and after
Moskowitz et al. 2013 [62]	USA	Breast	Cross-sectional	Occupation	Subjective	No
		After
Moss et al. 2018 [63]	USA	Not studied	Prospective study	Sex, race/ethnicity, marital status, education attainment	Subjective	No
		Before
Naik et al. 2016 [47]	Canada	Breast, gastrointestinal, genitourinary, gynecologic, head, neck, thyroid, hematologic, lung, skin, others, unknown	Cross-sectional	Education, household income, occupation	Subjective	No
		After
Noonan et al. 2016 [85]	USA	Not studied	Cross-sectional	Age, marital status, race/ethnicity, annual household income	Subjective	No
		Before
O’Callaghan-Gordo et al. 2018 [60]	Spain	Breast	Multicase-control study	Urban green areas, agricultural areas, surrounding greenness	Subjective	No
		Before
O’Connor et al. 2018 [76]	USA	Not studied	Cross-sectional	County-level income (disparity risk index)	Subjective	County Health Rankings conceptual model
		Before
						Models of Mediation
Owusu et al. 2018 [51]	USA	Breast	Qualitative	Ethnicity	Subjective	No
		After
Park & Strauss, 2019 [61]	USA	Breast, gynecological (cervical, ovarian and/or uterine), prostate, skin (melanoma and/or non-melanoma), uterine, other	Cross-sectional	Race/ethnicity, marital status, education level, ratio of family income	Subjective	No
		After
Peiró-Pérez et al. 2015 [91]	Spain	Breast	Cross-sectional	Age, place of residence, screening centre, level education, self-declared socioeconomic level (SEL) level, related to family burden	Subjective	No
		Before
Pena et al. 2014 [75]	Brazil	Breast, malignant and benign breast diseases	Case–control	Income	Subjective	No
		During
Petkevicienne et al. 2018 [64]	Lithuania	Cervical	Cross-sectional	Age, marital status, nationality, education, residence	Subjective	No
		Before
Philip et al. 2015 [46]	USA	Lung	Cross-sectional	Sex, age, education, race/ethnicity, income	Subjective	No
		After
Rawl et al. 2019 [70]	USA	Cervical	Cross sectional	Age, sex, race, ethnicity, education, marital status, income, financial security, home ownership, occupational status, place of birth	Subjective	No
		Before
Santos-Lozano et al. 2018 [54]	Spain	Breast	Cross-sectional	Sex, age, educational level, employment situation, care for children	Objective	No
		After
Schootman et al. 2012 [95]	USA	Breast	Cohort	Age group, race, Hispanic origin, income categories, educational attainment, employment, marital status, home ownership, length at residence in years, income adequacy	Subjective	Population intervention models
		After
Shas et al. 2019 [81]	India	Esopheageal squamous cell carcinoma risk	Hospital-based Case–control study	Education level, occupation, professional work intensity, income, house type, place of residence, ownership of several household appliances	Subjective	No
		Before
Silva et al. 2018 [38]	Brazil	Breast	Cohort	SES of brazilian states	Subjective	Cause of Death Ensemble modelling
		No specific time
Silva et al. 2018 [37]	Brazil	Colorectal	Cohort	Socioeconomic development index of Brazilian states	Subjective	No
		No specific time
Skrzypczak et al. 2012 [114]	Poland	Breast	Cross-sectional	Education, marital status, place of residence	Subjective	No
		After
Smith et al. 2018 [80]	USA	Breast	Cross-sectional	Age, education, income, marital status, insurance coverage	Subjective	No
		After
Sözmen et al. 2016 [115]	Turkey	Cervical	Cross-sectional	Marital status, educational level, geographical area lived, social security	Subjective	No
		Before
Stalsberg et al. 2019 [73]	Norway	Breast	Mixed-methods approach (longitudinal follow-up study)	Social inequality, level of education, household income, work status	Subjective	No
		After
Stevinson et al. 2014 [44]	UK	Breast, gastrointestinal, gynaecological, haematological, head, lung, neck, prostate, others	Cross-sectional	Sex, date of birth, marital status, educational level, employment status, ethnic group, postcode	Subjective	No
		After
Tabaczynski et al. 2020 [45]	Canada	Kidney	Cross-sectional	Age, sex	Subjective	Theory of Planned Behaviour
		After
Venturelli et al. 2019 [116]	Italy	Breast, cervical, colorectal	Cross-sectional	Education, occupational status, perceived economic difficulties, citizenship	Subjective	No
		Before
Vidrine et al. 2013 [117]	USA	Not studied	Cross-sectional	Sex, age, race/ethnicity, educational attainment, marital status, employment, annual household income, insurance status	Subjective	No
		Before
Wang et al. 2016 [118]	USA	Lung	Cross-sectional	Sex, age, race, marital status, education	Subjective	No
		Before
Weaver et al. 2013 [82]	USA	Breast, colorectal, gynecologic, hematologic, melanoma; prostate, others	Cross-sectional	Employment, residence (rural-urban)	Subjective	No
		After
Wiedemann et al. 2018 [119]	UK	All cancer	Cross-sectional	Age, sex, ethnicity, marital status, educational attainment, occupational status, type of occupation, residential area based-socio-economic	Subjective	No
		Before