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Table 4 Regression results from national health interview survey (Functionality index)

From: Modeling the indirect economic implications of musculoskeletal disorders and treatment

 

All adults (age 18+)

Employed adults (age 18-74)

 

Employed(1)

Receives SSI(1)

Household income ($)(2)

Missed work days(3)

Intercept

  

4,231

 

Male

1.75*

0.86*

2,175*

0.73*

Age 40-44 vs. <40

1.51*

1.47*

7,198*

1.12*

Age 45-49 vs. <40

1.54*

1.71*

7,869*

1.10*

Age 50-54 vs. <40

1.39*

1.95*

7,889*

1.10*

Age 55-59 vs. <40

0.95*

2.15*

7,336*

1.18*

Age 60-64 vs. <40

0.45*

2.08*

5,851*

1.11

Age 65-69 vs. <40

0.16*

1.58*

3,709*

1.06*

Age 70+ vs. <40

0.05*

0.77*

(1,810) *

0.84*

Physical Function Index

1.02*

0.98*

180*

0.97*

Difficulty sitting-vs. no difficulty

    

 Only a little difficult

0.94

1.06

87

1.10

 Somewhat difficult

0.81*

1.32*

189

1.14*

 Very difficult

0.72*

1.57*

1,278

1.23*

 Can't do at all

0.50*

1.35*

(1,323)

1.19

Difficulty reaching-vs. no difficulty

    

 Only a little difficult

0.84*

1.09

(361)

1.08

 Somewhat difficult

0.69*

1.21*

37

1.19*

 Very difficult

0.53*

1.55*

(1,093)

1.11

 Can't do at all

0.46*

1.18

 

2.01*

Difficulty standing-vs. no difficulty

    

 Only a little difficult

0.75*

1.47*

(116)

1.06

 Somewhat difficult

0.64*

1.65*

(870)

1.40*

 Very difficult

0.47*

2.27*

(574)

1.23*

 Can't do at all

0.29*

2.05*

(337)

1.28*

Has mobility difficulty due to

    

 Back pain

1.09*

1.02

(2,116)*

1.50*

 Joint injury

1.14*

0.94

(1,185)

2.19*

 Musculoskeletal condition

0.86*

1.21*

(834)

1.69*

 Arthritis

1.20*

1.15*

(1,893)*

1.28*

Year 2004 vs. 2010

1.24*

0.86

2,302*

1.04

Year 2005 vs. 2010

1.22*

0.87*

2,362*

1.12*

Year 2006 vs. 2010

1.20*

0.85*

2,280*

1.07*

Year 2007 vs. 2010

1.18*

0.95

(2,616)*

1.09*

Year 2008 vs. 2010

1.13*

0.97

2,169*

1.04

Year 2009 vs. 2010

1.04*

0.93

557

1.02

Highest educational attainment (comparison is no HS degree)

    

 High school degree

1.45*

0.42*

18,262*

1.11*

 College (baccalaureate) degree

1.93*

0.24*

37,808*

1.02

 Post baccalaureate degree

1.96*

0.19*

49,722*

0.97

 Occupation (comparison is occupation unknown)

    

 Management

  

9,017*

1.22*

 Finance

  

7,635*

1.36*

 Computer

  

8,535*

1.56*

 Architect

  

9,342*

1.49*

 Social Sciences

  

1,828

1.38*

 Social Services

  

(4,099)*

1.74*

 Legal

  

7,877*

1.54*

 Educate

  

(1,591)*

1.21*

 Arts

  

318

1.28*

 Health practitioner

  

7,404*

1.35*

 Healthcare support

  

(3,600)*

1.50*

 Protective services

  

5,142*

1.99*

 Food preparation

  

(6,835)*

1.26*

 Cleaning

  

(5,245)*

1.39*

 Personal care

  

(4,045)*

1.16*

 Sales

  

2,178*

1.30*

 Administrative support

  

2,420*

1.52*

 Farm

  

(2,843)*

1.34*

 Construction

  

342

1.66*

 Maintenance

  

4,799*

1.82*

 Production

  

638

1.67*

 Transport

  

(287)

1.80*

 Military

  

11,409*

0.93

Summary Statistics

N=185,829

N=185,829

N=100,471

N=115,752

 

Wald=31,831*

Wald=5,718*

R-sq=0.265

Pearson Chi-sq =241,078

  1. Notes: (1) Odds ratios from Logistic regression. (2) Coefficients from Ordinary Least Squares regression. Comparison group is female, under age 40, no activity limitations, year 2010, unemployed or occupation not available (for regressions that include occupation), and no high school degree. (3) Rate ratios from negative binomial regression. Comparison group is same as (2) above. * Statistically significant at the 0.05 level.
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Cost Effectiveness and Resource Allocation

ISSN: 1478-7547

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