This instrument library provides information about instruments designed to assess diet, physical activity and anthropometry in population health sciences. The library aims to describe each instrument, provide links to relevant research, and facilitate access to resources such as processing code which may otherwise be difficult to locate. Information is presented on dedicated pages for each instrument which are accessible using the tables below.Add new instrument
There are 320 instruments in the library at different levels of detail. You can add new or edit existing instruments.
A dietary assessment instrument used for adults in the Danish National Survey of Diet and Physical Activity. Since 1995, dietary intakes among a representative sample of Danish adults have been assessed using food diaries. Participants report their intake as well as answered predefined and open-ended questions for 7 consecutive days. Serving sizes are estimated using household measures such as glasses, cups, and plates, with aid of a series of pictures. A food diary is "pre-coded", listing commonly consumed dietary items in the order of usual Danish dietary meal patterns, including main meals and snacks. In 2011-2013, 465 foods were pre-coded. In the 2020-2021 web-based version pre-coded up to 1700 foods. The validity of the instrument has been assessed three times since 2000. Overall, the results show that the instrument performs well for ranking participants in terms of intake of foods and nutrients and that total energy intake is underestimated by about 12%.
Developed by the Food and Agriculture Organization of the United Nations (FAO), Minimum Dietary Diversity for Women (MDD-W) is an indicator based on the consumption of 10 food groups and is used for measuring population-level dietary diversity in women of reproductive age. The 10 food groups included in the indicator are: 1. Grains, white roots and tubers, and plantains; 2. Pulses (beans, peas and lentils); 3. Nuts and seeds; 4. Dairy; 5. Meat, poultry and fish; 6. Eggs; 7. Dark green leafy vegetables; 8. Other vitamin A-rich fruits and vegetables; 9. Other vegetables; and 10. Other fruits. Based on this indicator, women who consumed at least 5 of the 10 food groups over the previous 24-hour period are classified as having minimally adequate dietary diversity. MDD-W has been validated for women aged 15-49 years. Respondents are asked to recall the food groups that they consumed over the previous 24-hours using either a list-based method (which asks about consumption of each of the 10 food groups), or an open recall (where respondents recall all foods consumed during the previous day, and the enumerator or interviewer classifies foods consumed into their respective food groups). The enumerator must record whether the respondent did, or did not, consume foods from each of the 10 food groups and then add the total number of food groups consumed. MDD-W may be useful particularly in resource-constrained settings where they can be administered to monitor and evaluate programs that aim to improve dietary diversity. The MDD-W is a simple and easy to interpret tool that can be used for communication especially with non-nutrition audiences.
Triaxial accelerometer. MEMS sensor. Raw sampling frequency of between 12.5Hz and 3200Hz with a configurable range of ±2/4/8/16g. The device incorporates a real-time quartz clock, ambient light sensor and temperature sensor. The Axivity AX3 is water resistant up to 1.5 meters.
Triaxial accelerometer. Microelectro-Mechanical-System (MEMS) sensor. Records accelerations with a dynamic range of ±6 g. Data sampling frequency of 30-100Hz, based on higher internal raw sampling frequency. The device also collects ambient light data in Lux at a sampling rate of 1Hz. The GT3X+ weighs 19g and its dimensions are 4.6 x 3.3 x 1.5 cm. The GT3X+ is the successor to the GT3X.
HAPAQ was designed to collect data regarding total regular PA undertaken from the age of 20 years to their current age. The questionnaire is divided into discrete time periods, starting with the most recent 15 years in three 5-year sections. Following this, questions regarding PA from the age of 20 years until the most recent 15 years are asked in 10-year sections. For each section, an identical set of closed questions are asked about PA in the domains of home, work, transport, sport (defined as strenuous sporting activities which make you breathless or cause noticeable sweating) and exercise (defined as less strenuous leisure activities). The nature, duration and frequency of regular activities recalled by the participant for each time period were recorded. The questionnaire was designed in an electronic format to aid delivery and data management and it is delivered through face-to-face interviews.
The short EPIC-PAQ was originally designed for implementation in the European Prospective Investigation into Cancer study.
The short EPIC-PAQ is a physical activity self-report instrument consisting of four questions. The four EPIC physical activity questions refer to activity during the past year. The first question is a four-point, mutually exclusive, ordered category concerning physical activity at work. The second question asks about the amount of time spent in hours per week for summer and winter separately in each of the following activities: walking, cycling, gardening, do-it-yourself, physical exercise and housework. The third question asks whether any of the activities in question 2 were engaged in such that it caused sweating or faster heartbeat and, if so, for how many hours during a typical week. The fourth question asks about stair climbing. As occupational activity and recreational activity are both likely to be relevant to total energy expenditure, a simple 4-category physical activity index, the so-called Cambridge index, was devised based on these components, to allocate individuals to ordered categories of overall activity.
The EPAQ2 is a self-reported questionnaire that collects past year information on physical activity in a disaggregated way (by behaviour type and domain) such that the information may be re-aggregated according the dimension of physical activity of interest. It is longer than the original EPIC PAQ, known as "short EPIC", and EPAQ2 is therefore sometimes called "long EPAQ". The questionnaire consists of three domains: activity at home, work and recreation. Questions are closed rather than open-ended. It was originally designed as a comprehensive physical activity questionnaire for implementation in the European Prospective Investigation into Cancer Study - Norfolk cohort.
IPAQ was developed for surveillance purposes and to guide policy development related to health-enhancing physical activity across various life domains. There are two versions of the questionnaire. The short version collects physical behaviour information aggregated across domains and is designed for use in national and regional surveillance systems. The long version provides more detailed information by asking those same questions by domain; occupation, transport and leisure time. The long version may be more suited for evaluation purposes where for example one domain may be targeted.
FFQ originally developed in 1988 (Bingham et al., Br J Nutr, 1994) and updated over years along with the development of links to food composition tables (CAFE and FETA) (Welch et al., J Hum Nutr Diet, 2005; Mulligan et al., BMJ Open, 2014)
Actiheart is a single-piece combined heart rate and uniaxial acceleration monitor that is worn on the chest using two standard ECG electrodes. It has three recording modes; 1) raw waveform mode, 2) inter-beat-interval logging mode, and 3) long-term recording mode of average heart rate and movement in epochs. Raw sampling rates are 128Hz for the ECG signal and 32 Hz for the acceleration signal. There are two official versions of the uniaxial monitor, the original Actiheart and Actiheart 4; these are largely identical in terms of weight (<10g) and physical dimensions. Actiheart 4 has four times higher memory capacity and can collect 15-sec epoch data for 11 days in long-term mode; its capacity is about 4 days when using inter-beat-interval logging (with 15-sec accelerometry data).
This questionnaire is designed to measure physical activity during everyday life in the last 4 weeks. The questionnaire is divided into 3 sections:
Section A asks about physical activity in and around the house.
Section B is about travel to work and activity at work.
Section C asks about recreational activities.
Developed and validated BIA equations to predict total and regional body composition parameters for fat mass (FM) and lean mass (LM) from anthropometry and single‐frequency (50 kHz) segmental BIA, using Dual Energy X-ray Absorptiometry (DEXA) as the criterion method.