Table 2.
Data sources and measures of outcomes in the studies included in the review.
| Authors, year | Input data source | Input data format | Input features (independent variables) | Outcome data type | Outcome measures | Unit of analysis |
| Abdel-Aal and Mangoud [26], 1997 | Medical survey data | Tabular | 13 health parameters | Continuous | WHRa | Individual |
| Positano et al [71], 2008 | MRIb | Image | Subcutaneous adipose tissue and visceral adipose tissue | Binary | Abdominal adipose tissue distribution | Individual |
| Ergün [70], 2009 | Obtained from participants | Tabular | 24 obesity parameters | Binary | Classification of obesity | Individual |
| Yang et al [69], 2009 | Clinical data | Text | Clinical discharge summaries | Binary | Obesity status | Individual |
| Zhang et al [68], 2009 | Objective measure | Tabular | Data recorded regarding the weight of the child during the first 2 years of the child’s life | Binary | Obesity | Individual |
| Heydari et al [67], 2012 | Questionnaire and objective measure | Tabular | Age, systole, diastole, weight, height, BMI, WCc, HCd, and triceps skinfold and abdominal thicknesses | Binary | Obesity | Individual |
| Kupusinac et al [66], 2014 | Objective measure | Tabular | Gender, age, and BMI | Continuous | BFPe | Individual |
| Shao [65], 2014 | Objective measure | Tabular | 13 body circumference measurements | Continuous | BFP | Individual |
| Chen et al [64], 2015 | Objective measure | Tabular | 18 blood indexes and 16 biochemical indexes | Continuous | Overweight | Individual |
| Dugan et al [63], 2015 | Questionnaire and objective measure | Tabular | 167 clinical data attributes | Continuous | Obesity | Individual |
| Nau et al [62], 2015 | Two secondary data sources (InfoUSA and Dun & Bradstreet) | Tabular | 44 community characteristics | Binary | Obesogenic and obesoprotective environments | Community |
| Almeida et al [61], 2016 | Objective measure | Tabular | Age, sex, BMI z score, and calf circumference | Continuous | BFP | Individual |
| Lingren et al [60], 2016 | EHRf | Tabular | EHR data | Binary | Obesity | Individual |
| Seyednasrollah et al [59], 2017 | Objective measure | Tabular | Clinical factors and genetic risk factors | Binary | Obesity | Individual |
| Hinojosa et al [58], 2018 | Objective measure | Tabular | School environment | Binary | Obesity | School |
| Maharana and Nsoesie [57], 2018 | Objective measure | Image | Built environment | Continuous | Prevalence of obesity | Census tract |
| Wang et al [56], 2018 | Objective measure | Tabular | Single-nucleotide polymorphisms | Binary | Obesity risk | Individual |
| Duran et al [55], 2018 | NHANESg | Tabular | Age, height, weight, and WC | Binary | Excess body fat | Individual |
| Gerl et al [54], 2019 | Objective measure | Tabular | Human plasma lipidomes | Binary and continuous | Obesity: BMI, WC, WHR, and BFP | Individual |
| Hammond et al [53], 2019 | EHR and publicly available data | Tabular | EHR data | Binary and continuous | Obesity status | Individual |
| Hong et al [52], 2019 | EHR | Text | Discharge summaries | Binary | Identification of obesity | Individual |
| Ramyaa et al [51], 2019 | Questionnaire | Tabular | Energy balance components | Binary and continuous | Energy stores: body weight | Individual |
| Scheinker et al [50], 2019 | 2018 Robert Wood Johnson Foundation County Health Rankings | Tabular | Demographic factors, socioeconomic factors, health care factors, and environmental factors | Continuous | Obesity prevalence | County |
| Shin et al [49], 2019 | Objective measure | Tabular | Upper body impedance and lower body anthropometric data | Continuous | BFP | Individual |
| Stephens et al [48], 2019 | From recorded dialogue | Text | Dialogue | Binary | Weight management program | Individual |
| Blanes-Selva et al [47], 2020 | EHR of HULAFEh | Tabular | 32 variables | Binary | Identification of obesity | Individual |
| Dunstan et al [46], 2020 | Euromonitor data set | Tabular | National sales of a small subset of food and beverage categories | Continuous | Nationwide obesity prevalence | Country |
| Fu et al [45], 2020 | Clinical data | Tabular | Demographic characteristics, maternal anthropometrics, perinatal clinical history, laboratory tests, and postnatal feeding practices | Binary | Obesity | Individual |
| Kibble et al [44], 2020 | Clinical data | Tabular | 42 clinical variables | Binary | Mechanisms of obesity | Individual |
| Park et al [43], 2020 | Openly accessible database | Image | Neuroimaging biomarkers | Continuous | BMI | Individual |
| Phan et al [42], 2020 | Objective measure | Image | Neighborhood built environment characteristics | Binary, continuous | Obesity | State |
| Taghiyev et al [41], 2020 | EHR | Tabular | Results of blood tests | Binary | Obesity | Individual |
| Xiao et al [40], 2020 | Objective measure | Image | Vertical greenness level | Binary | Obesity | Individual |
| Yao et al [39], 2020 | Objective measure | Tabular | Characteristics of body movement captured by smartphone’s built-in motion sensors | Continuous | BMI | Individual |
| Alkutbe et al [27], 2021 | Self-reported and objective measures | Tabular | Weight, height, age, and gender | Binary and continuous | BFP | Individual |
| Bhanu et al [38], 2021 | MRI | Image | SATi and VATj | Binary | Abdominal fat | Individual |
| Cheng et al [37], 2021 | Objective measure | Tabular | Physical activity | Binary | Obesity | Individual |
| Delnevo et al [36], 2021 | Questionnaire | Tabular | Positive and negative psychological variables | Binary and continuous | BMI values and BMI status | Individual |
| Lee et al [35], 2021 | Objective measure | Tabular | 64 independent variables: nationwide multicenter ultrasound data and maternal and delivery information | Continuous | BMI | Individual |
| Lin et al [34], 2021 | Objective measure | Tabular | Key clinical variables | Binary | Obesity classification criterion | Individual |
| Pang et al [33], 2021 | EHR data from pediatric big data repository | Tabular | Demographic variables and 54 clinical variables | Binary | Obesity | Individual |
| Park et al [32], 2021 | Corpus of geotagged tweets | Text | Tweets | Binary and continuous | BMI and obesity | Individual |
| Rashmi et al [31], 2021 | Objective measure | Image | 600 thermograms | Binary | Obesity | Individual |
| Snekhalatha and Sangamithirai [30], 2021 | Objective measure | Image | Thermal imaging | Binary | Diagnosis of obesity | Individual |
| Thamrin et al [29], 2021 | Publicly available health data | Tabular | Risk factors for obesity | Binary | Obesity | Individual |
| Zare et al [28], 2021 | BMI panel data set | Tabular | Kindergarten BMI z score | Binary | Obesity by grade 4 | Individual |
aWHR: waist-hip ratio.
bMRI: magnetic resonance imaging.
cWC: waist circumference.
dHC: hip circumference.
eBFP: body fat percentage.
fEHR: electronic health record.
gNHANES: National Health and Nutrition Examination Survey.
hHULAFE: Hospital Universitari i Politècnic La Fe.
iSAT: subcutaneous adipose tissue.
jVAT: visceral adipose tissue.