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. 2021 Feb 5;6(2):e003585. doi: 10.1136/bmjgh-2020-003585

Table 2.

Characteristics of 1220 dietary surveys in the GDD 2017

Survey characteristics Overall Public surveys* Private surveys*
Surveys included†, n 1220 864 356
No of countries represented, n 188 174 128
Per cent of the global population represented in 2015, % 99.0 98.1 87.4
Demographic characteristics reported by surveys‡
Children/adolescents (ages 0–19 years), % 73.9 76.4 68.0
 Age 0–0.49 26.3 35.1 5.1
 Age 0.5–0.99 26.9 35.4 6.2
 Age 1–1.9 29.3 34.3 17.0
 Age 2–5.9 32.5 35.6 25.0
 Age 6–10 32.0 33.6 28.1
 Age 11–14 49.8 57.3 31.7
 Age 15–19 61.2 64.6 53.1
Adults (ages 20+ years), % 64.5 57.2 82.3
 Age 20–44 62.5 56.4 77.2
 Age 45–69 61.7 56.3 75.0
 Age 70+ 32.8 25.6 50.3
Level of educational attainment, % 30.2 24.7 43.5
Urban versus rural residence, %
 Both urban and rural 52.2 62.3 27.8
 Urban only 4.7 0.7 14.3
 Rural only 1.4 0.0 4.8
 Information not available 41.7 37.0 53.1
Pregnancy/lactation status of women, % 11.2 15.2 1.7
Year of data collection, %
 1980–1999 36.1 42.0 21.6
 2000–2015 63.9 58.0 78.4
Representativeness
 National, No surveys (% of total)
 No countries (% of global population represented)
880 (72.1)
185 (99.6)
664 (76.9)
172 (99.6)
216 (60.7)
95 (84.7)
 Subnational, No surveys (% of total)
 No countries (% of global population represented)
207 (17.0)
75 (81.6)
146 (16.9)
45 (67.8)
61 (17.1)
46 (46.2)
 Community, No surveys (% of total)
 No countries (% of global population represented)
133 (10.9)
48 (70.2)
54 (6.3)
19 (35.1)
79 (22.2)
36 (48.2)
Response rate, %
 60%–100% 37.8 24.8 69.4
 20%–59% 3.2 1.2 8.1
 <20% 5.7 8.0 0.0
 Information not available 53.4 66.1 22.5
Sampling methodology, %
 Probability sampling, with survey weights 38.4 39.5 36.0
 Probability sampling, no survey weights 32.7 32.9 32.3
 Non-probability sampling 4.2 0.7 12.6
 Information not available 24.7 27.0 19.0
Median (5th, 95th percentile) no of GDD dietary food groups per survey§ 6.0 (1.0, 30.0) 3.0 (1.0, 14.0) 11.0 (2.0, 47.0)
Dietary assessment method
 Single or multiple recalls/records
  No surveys, (% of total) 286 (23.4)) 96 (11.1) 190 (53.4)
  No countries, (% global population represented) 68 (78.0) 90 (40.4) 64 (84.7)
 Food frequency questionnaire
  No surveys, (% of total) 503 (41.2) 346 (40.0) 157 (44.1)
  No countries, (% of global population represented) 164 (94.3) 141 (89.5) 89 (57.2)
 DHS questionnaire
  No surveys, (% of total) 193 (15.8) 190 (22.0) 3 (0.8)
  No countries, (% of global population represented) 70 (53.9) 69 (53.4) 2 (1.7)
 Biomarker (urine sodium, haemoglobin)
  No surveys, (% of total) 160 (13.1) 154 (17.8) 6 (1.7)
  No countries, (% of global population represented) 60 (70.7) 59 (71.3) 5 (2.5)
 Household survey
  No surveys, (% of total) 78 (6.4) 78 (9.0) 0 (0.0)
  No countries, (% of global population represented) 27 (15.1) 27 (15.3) 0 (0.0)
Data type¶, %
 Individual-level microdata 58.6 65.6 41.6
 Aggregated stratum-level distributions 41.4 34.4 58.4
Level of data collection, %
 Individual level 92.5 89.8 99.2
 Household level 5.7 7.8 0.8
 Information not available 1.7 2.4 0.0

*Public surveys are those retrieved from publicly available databases; private surveys are non-publicly available surveys that are contributed by a data owner (corresponding member);.

†Each survey count represents a country-specific survey year. When data collection for a single survey was performed over multiple years, the median survey year was used (or first year if 2 years).

‡Because data on children/adolescents (0–19 years), urban/rural residence, education, pregnancy/lactation and response rate were not collected in GDD 2010 (41.7% of total surveys), these percentages may underestimate available data in these surveys. Values are shown for surveys including data on that subgroup and may sum to greater than 100% because a survey can include multiple subgroups.

§Based on the food groups collected in GDD 2010 (up to 21, 41.7% of surveys) and GDD 2017 (up to 54, 58.3% of surveys), not including biomarker surveys.

¶Individual-level microdata represent individual-level data in possession of the GDD. Aggregated stratum-level distributions are based on individual-level data aggregated by data owners in standardised subgroups jointly stratified by age, sex, education and urban/rural residence, and pregnancy/lactation status, as available; and provided to the GDD including stratum-specific means, SD and percentiles of intake. Nearly all (94.2%) surveys collected in 2014–2020 (GDD 2017 round of data collection) were individual-level microdata.

DHS, Demographic Health Survey; GDD, Global Dietary Database.