Outcome | Study: | Study aims: | Results: |
---|---|---|---|
Obesity | Maukonen et al., 2018 [21] | Target group: adults Comparison: self-reported vs. measured Type of study: review of 62 studies | Self-reported in comparison to measured: • height was overestimated ⇧ • weight was underestimated ⇩ • BMI was underestimated ⇩ • prevalence of overweight was underestimated ⇩ from 1.8%-points to 9.8%-points • prevalence of obesity was underestimated ⇩ from 0.7%-points to 13.4%-points Bias was greater among overweight and obese persons in comparison to normal weight persons. |
Luke et al., 2017 [25] | Target group: adults Comparison: measured vs. medical records Type of study: cross-sectional comparison | Measured in comparison to medical records • obesity rate was underestimated ⇩ Of the 16 different obesity class, ethnicity, and sex strata compared between EHR and NHANES patients, 14 (87.5%) included similar obesity estimates (i.e., overlapping 95% CIs). | |
Yun et al., 2006 [23] | Target group: self-reported vs. measured Type of study: cross-sectional comparison | Self-reported in comparison to measured: • prevalence of overweight was underestimated ⇩ • prevalence of obesity was underestimated ⇩ Underestimation was prevalent across different gender, race, age and education groups | |
Paccaud et al., 2001 [24] | Target group: adults Comparison: measured vs.self-reported Type of study: cross-sectional comparison | Self-reported in comparison to measured: • weight was underestimated ⇩ • height was overestimated ⇧ • BMI was underestimated⇩ • prevalence of obesity was underestimated ⇩ The differences larger for women than for men. | |
Hypertension | Atwood et al., 2013 [29] | Target group: adults Comparison: self-reported vs measured or electronic health records (HER) Type of study: cross-sectional comparison | Self-reported in comparison to measured: • prevalence of hypertension was slightly underestimated ⇩ Self-reported in comparison to electronic health records (HER): • prevalence of hypertension was underestimated ⇩ Measured in comparison to electronic health records (EHR): • prevalence of hypertension was slightly underestimated ⇩ |
Goncalves et al., 2018 [27] | Target group: adults Comparison: self-reported hypertension (HTN) vs. clinical diagnosis Type of study: a systematic review and meta-analysis of 22 studies | Self-reported in comparison to medical diagnoses: • In most studies prevalence on hypertension was underestimated ⇩ | |
Peng et al.; 2016 [30] | Target group: adults Comparison: measured vs. medical record Type of study: cross-sectional comparison | Measured in comparison to medical records: • prevalence of hypertension was overestimated ⇧ | |
Frank, 2016 [31] | Target group: adults Comparison: self-reported vs. measured or medical records Type of study: cross-sectional comparison | Self-reported in comparison to measured: • prevalence of hypertension was underestimated ⇩ Self-reported in comparison to medical records: • prevalence of hypertension was underestimated ⇩ Measured in comparison to medical records: • prevalence of hypertension was similar ⇔ | |
Diabetes | Aguilar-Palacio et al., 2014 [37] | Target group: adults Comparison: self-reported vs. electronic medical records (EMR) Type of study: cross-sectional comparison | Self-reported in comparison with electronic medical records: • prevalence of diabetes was overestimated ⇧ |
Asthma | Mukherjee et al., 2016 [38] | Target group: General population, all ages Comparison: self-reported vs. medical records Type of study: cross-sectional comparison | Self-reported in comparison to medical records: • Prevalence of asthma was overestimated ⇧ |
Huzel et al., 2002 [39] | Target group: adults Comparison: self-reported vs. medical records Type of study: cross-sectional comparison | Self-reported in comparison to medical records: • Prevalence of asthma attack in past 12 months was overestimated ⇧ | |
Obesity, Hypertension, Diabetes | Zellweger et al., 2014 [33] | Target group: adolescents, adults and elderly Comparison: self-reported vs. measurement or electronic health record Type of study: cross-sectional comparison | Self-reported in comparison to measured: • prevalence of obesity was overestimated ⇧ • prevalence of hypertension was overestimated ⇧ • prevalence of diabetes was similar ⇔ Self-reported in comparison to medical records: • prevalence of obesity was similar ⇔ • prevalence of hypertension was overestimated ⇧ • prevalence of diabetes was similar ⇔ Measured in comparison to medical records: • prevalence of obesity was overestimated ⇧ • prevalence of hypertension was overestimated ⇧ • prevalence of diabetes was similar ⇔ |
Schenker et al., 2010 [22] | Target group: adults Comparison: self-reported vs. measured Type of study: cross-sectional comparison | Self-reported in comparison to measured: • prevalence of obesity was underestimated ⇩ • prevalence of hypertension was underestimated ⇩ • prevalence of diabetes was slightly underestimated ⇩ | |
Diabetes, Hypertension, Asthma | Lujic et al., 2017 [35] | Target group: adults Comparison: self-report vs. medical records Type of study: cross-sectional comparison | Self-reported in comparison to medical records: • Prevalence of hypertension was overestimated ⇧ • Prevalence of diabetes was overestimated ⇧ • Prevalence of asthma was overestimated ⇧ |
Violán et al., 2013 [32] | Target group: adults Comparison: self-reported vs. electronic health records (EHR) Type of study: cross-sectional comparison | Self-reported in comparison to electronic medical records: • prevalence of hypertension was slightly underestimated ⇩ • prevalence of diabetes was underestimated ⇩ • prevalence of asthma was overestimated ⇧ | |
Diabestes, Hypertension | Paalanen et al., 2018 [26] | Target group: adults Comparison: self-reported vs. measured or medical records (MRs) Type of study: a literature review of 30 studies | Self-reported in comparison to measured: • prevalence of hypertension was underestimated ⇩ from −15.9%-points to + 3.9%-points • prevalence of diabetes was underestimated ⇩ from −2.9%-points to + 0.9%-points Self-reported in comparison to medical records: • prevalence of hypertension was underestimated ⇩ from − 14.9%-points to + 19.7%-points • prevalence of diabetes was underestimated ⇩ from − 3.0%-points to + 0.9%-points |
Robinson et al., 1997 [36] | Target group: adults Comparison: self-reported vs. medical records Type of study: cross-sectional comparison | Self-reported in comparison to medical records: • prevalence of hypertension was overestimated ⇧ • prevalence of diabetes was underestimated ⇩ | |
Barber et al., 2010 [34] | Target group: adults Comparison: self-report vs. medical records Type of study: cross-sectional comparison | Self-reported in comparison to medical records: • prevalence of hypertension was overestimated ⇧ • prevalence of diabetes was similar ⇔ | |
Diabetes, Asthma | Berete et al., 2020 [45]: Comparing health insurance data and health interview survey data for ascertaining chronic disease prevalence in Belgium. Arch Public Health 78:120. doi: https://doi.org/10.1186/s13690-020-00500-4 | Target group: adolescents and adults Comparison: self-reported vs. insurance data Type of study: cross-sectional comparison | Self-reported in comparison to insurance data: • prevalence of diabetes was similar ⇔ • prevalence of asthma was overestimated ⇧ |