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Table 2 Multivariate predictors of missingness for each item of the SF-36.

From: Identifying type and determinants of missing items in quality of life questionnaires: Application to the SF-36 French version of the 2003 Decennial Health Survey

Scales/Items

Proportion of missing

Independent predictors

Type of missingness

PF (Physical functioning)

   

PF1 Vigorous activities

3.1%

Age, Gender, Hospitalization, Number of missing data for other items

MAR

PF2 Moderate activities

3.2%

Age, Number of missing data for other items, PF score

MNAR

PF3 Lift, carry groceries

3.3%

Age, Number of missing data for other items, PF and GH scores

MNAR

PF4 Climb several flights

3.6%

Age, Occupation, Number of missing data for other items, PF and VT scores

MNAR

PF5 Climb one flight

4.9%

Age, Occupation, Education, Number of missing data for other items, PF and VT scores

MNAR

PF6 Bend, kneel

3.3%

Age, French nationality, Number of missing data for other items, PF score

MNAR

PF7 Walk>1 km

3.1%

Age, French nationality, Number of missing data for other items, PF score

MNAR

PF8 Walk several blocks

4.5%

Age, Number of missing data for other items, PF and SF scores

MNAR

PF9 Walk one block

2.8%

Chronic disease, Number of missing data for other items, PF score

MNAR

PF10 Bathe, dress

5.4%

Age, Number of missing data for other items, PF and VT scores

MNAR

RP (Role limitations relating to physical health )

   

RP1 Cut down time on work

3.2%

Gender, Education, Number of missing data for other items, RE score

MAR

RP2 Accomplished less

3.2%

Number of missing data for other items, RP and GH scores

MNAR

RP3 Limited in kind of work

3.8%

Age, Number of missing data for other items, GH and RE scores

MAR

RP4 Difficulty performing work

3.5%

Age, French nationality, Number of missing data for other items, RP score

MNAR

BP (Bodily pain)

   

BP1 Intensity of bodily pain

2.4%

Number of missing data for other items, PF and BP scores

MNAR

BP2 Extent pain interfered with work

2.7%

Number of missing data for other items

MAR

GH (General health perceptions)

   

GH1 General health

6.4%

Age, Depression, Number of missing data for other items, SF score

MAR

GH2 Get sick easier

6.4%

Age, Number of missing data for other items, GH and SF scores

MNAR

GH3 As healthy as anybody

6.0%

Age, Hospitalization, Number of missing data for other items, GH score

MNAR

GH4 Expect health to get worse

6.1%

Age, Gender, French nationality, Number of missing data for other items

MAR

GH5 Health is excellent

6.8%

Age, Gender, Hospitalization, Number of missing data for other items, GH and SF scores

MNAR

VT (Vitality)

   

VT1 Full of life

5.6%

Age, Education, Vision disability, Depression, Number of missing data for other items

MAR

VT2 Energy

5.6%

Age, Occupation, Number of missing data for other items

MAR

VT3 Worn out

5.5%

Age, Number of missing data for other items, BP score

MAR

VT4 Tired

4.0%

Number of missing data for other items

MAR

SF (Social functioning)

   

SF1 Extent of social activities interfered with

2.6%

Gender, Number of missing data for other items, GH score

MAR

SF2 Frequency of social activities interfered with

3.0%

Age, Number of missing data for other items

MAR

RE (Role limitation relating to mental health)

   

RE1 Cut down time on work

3.7%

Age, Number of missing data for other items, GH and RE scores

MNAR

RE2 Accomplished less

3.6%

Age, Number of missing data for other items, VT score

MAR

RE3 Did not do work as carefully

6.3%

Occupation, Number of missing data for other items, RE score

MNAR

MH (Mental health)

   

MH1 Nervous

5.0%

Age, Number of missing data for other items, SF score

MAR

MH2 Down in the dumps

5.0%

Age, Number of missing data for other items

MAR

MH3 Peaceful

5.3%

Education, Vision disability, Number of missing data for other items

MAR

MH4 Blue/sad

5.2%

Gender, Depression, Number of missing data for other items, VT scale

MAR

MH5 Happy

5.2%

Age, Gender, Number of missing data for other items, GH scale

MAR