Obesity around Retirement Age: International Comparison Using SHARE

Country	Men		Women
Country	BMI (kg/m²)	Obesity rate (%)	BMI (kg/m²)	Obesity rate (%)
AUT	27.6	24.1	26.6	22.7
DEU	27.6	22.9	26.5	21.2
SWE	26.6	16.6	26.1	18.5
ESP	27.5	21.3	26.9	22.2
ITA	26.7	15.3	25.8	16.9
FRA	26.9	20.8	25.8	18.0
DNK	26.8	17.4	25.6	15.5
CHE	26.4	14.7	24.9	14.1
BEL	27.0	21.1	26.1	19.5
CZ	28.3	30.6	27.6	28.6
POL	27.3	26.7	27.6	28.4
SVN	28.0	26.4	27.0	23.0
EST	27.3	24.9	28.3	34.3

[i] Note: Source SHARE, own computation.

Tab. 3

Classification of occupations

ISCO code	Occupation	Occupation group
1	Managers	Professional
2	Professionals	Professional
3	Technicians and Associate Professionals	Professional
4	Clerical Support Workers	Service
5	Service and Sales Workers	Service
6	Skilled Agricultural, Forestry and Fishery Workers	Manual
7	Craft and Related Trades Workers	Manual
8	Plant and Machine Operators and Assemblers	Manual
9	Elementary Occupations	Manual
0	Army	n.a.

Tab. 4

Classification of education

ISCED code	Education	Education group
0	Pre-primary education	Low
1	Primary education or first stage of basic education	Low
2	Lower secondary education or second stage of basic education	Low
3	Upper secondary education	Middle
4	Post-secondary non-tertiary education	Middle
5	First stage of tertiary education	High
6	Second stage of tertiary education	High

Body mass index and obesity rates in international perspective
Note: Source SHARE, own computation.

Obesity rates for men and women with low, middle, and high education
Note: Source SHARE, own computation.

Workers: professionals versus others
Note: Source SHARE, own computation.

Pensioners: professionals versus others pre-retirement occupations
Note: Source SHARE, own computation.

Men, 2015
	(1)	(2)	(3)	(4)	(5)	(6)
Variables	Model 1	Model 2	Model 3	Model 4	Model 5	Model 6
CZ	0.183^***	0.161^***	0.157^***	0.154^***	0.125^***	0.124^***
	(0.020)	(0.020)	(0.021)	(0.021)	(0.021)	(0.021)
EST	0.097^***	0.092^***	0.091^***	0.091^***	0.033	0.033
	(0.020)	(0.020)	(0.020)	(0.020)	(0.020)	(0.020)
SVN	0.114^***	0.099^***	0.096^***	0.092^***	0.071^***	0.069^***
	(0.020)	(0.020)	(0.021)	(0.021)	(0.021)	(0.021)
DEU	0.089^***	0.090^***	0.086^***	0.085^***	0.058^***	0.058^***
	(0.020)	(0.020)	(0.020)	(0.020)	(0.020)	(0.020)
POL	0.115^***	0.094^***	0.082^***	0.083^***	0.042	0.040
	(0.024)	(0.024)	(0.026)	(0.026)	(0.026)	(0.026)
ESP	0.039^**	−0.004	−0.008	−0.008	−0.016	−0.018
	(0.020)	(0.020)	(0.021)	(0.021)	(0.021)	(0.021)
AUT	0.081^***	0.076^***	0.074^***	0.070^***	0.061^***	0.063^***
	(0.022)	(0.022)	(0.022)	(0.022)	(0.022)	(0.022)
BEL	0.074^***	0.064^***	0.066^***	0.065^***	0.053^***	0.054^***
	(0.019)	(0.019)	(0.019)	(0.019)	(0.019)	(0.019)
FRA	0.075^***	0.056^***	0.054^**	0.051^**	0.036^*	0.037^*
	(0.020)	(0.020)	(0.021)	(0.021)	(0.021)	(0.021)
SWE	0.026	0.018	0.024	0.023	0.025	0.025
	(0.021)	(0.021)	(0.021)	(0.021)	(0.021)	(0.021)
DNK	0.024	0.022	0.024	0.025	0.035^*	0.035^*
	(0.020)	(0.020)	(0.021)	(0.021)	(0.021)	(0.021)
ITA	−0.017	−0.055^***	−0.048^**	−0.048^**	−0.061^***	−0.063^***
	(0.019)	(0.020)	(0.020)	(0.020)	(0.020)	(0.020)
Constant	0.163^***	0.249^***	0.226^***	0.218^***	0.319^***	0.279^***
	(0.016)	(0.019)	(0.023)	(0.024)	(0.027)	(0.067)
Observations	14,274	14,274	13,398	13,398	13,397	13,397
R-squared	0.015	0.022	0.024	0.024	0.040	0.041
Education	No	Yes	Yes	Yes	Yes	Yes
ISCO	No	No	Yes	Yes	Yes	Yes
Retirement	No	No	No	Yes	Yes	Yes
Health	No	No	No	No	Yes	Yes
HHsize	No	No	No	No	No	Yes
Age	No	No	No	No	No	Yes

Standard errors are given in parentheses.

*** p < 0.01

** p < 0.05

* p < 0.1.

Note: Switzerland is a benchmark for presented estimates.

Women, 2015
	(1)	(2)	(3)	(4)	(5)	(6)
Variables	Model 1	Model 2	Model 3	Model 4	Model 5	Model 6
CZ	0.198^***	0.172^***	0.164^***	0.157^***	0.128^***	0.126^***
	(0.017)	(0.017)	(0.018)	(0.018)	(0.018)	(0.018)
EST	0.219^***	0.242^***	0.227^***	0.226^***	0.150^***	0.149^***
	(0.017)	(0.017)	(0.017)	(0.017)	(0.018)	(0.018)
SVN	0.099^***	0.086^***	0.072^***	0.066^***	0.040^**	0.036^**
	(0.018)	(0.018)	(0.018)	(0.018)	(0.018)	(0.019)
DEU	0.082^***	0.092^***	0.081^***	0.080^***	0.045^**	0.044^**
	(0.017)	(0.017)	(0.018)	(0.018)	(0.018)	(0.018)
POL	0.156^***	0.132^***	0.124^***	0.121^***	0.077^***	0.074^***
	(0.021)	(0.021)	(0.022)	(0.022)	(0.022)	(0.022)
ESP	0.059^***	−0.006	−0.020	−0.018	−0.034^*	−0.035^*
	(0.017)	(0.018)	(0.019)	(0.019)	(0.019)	(0.019)
AUT	0.066^***	0.061^***	0.046^**	0.040^**	0.032^*	0.030
	(0.019)	(0.019)	(0.019)	(0.019)	(0.019)	(0.019)
BEL	0.064^***	0.059^***	0.061^***	0.060^***	0.043^**	0.041^**
	(0.017)	(0.017)	(0.017)	(0.017)	(0.017)	(0.017)
FRA	0.067^***	0.049^***	0.049^***	0.046^**	0.025	0.022
	(0.018)	(0.018)	(0.018)	(0.019)	(0.018)	(0.018)
SWE	0.027	0.043^**	0.044^**	0.042^**	0.035^*	0.035^*
	(0.019)	(0.019)	(0.019)	(0.019)	(0.019)	(0.019)
DNK	0.015	0.039^**	0.037^**	0.036^*	0.040^**	0.039^**
	(0.018)	(0.018)	(0.019)	(0.019)	(0.018)	(0.018)
ITA	0.004	−0.047^***	−0.056^***	−0.056^***	−0.078^***	−0.080^***
	(0.017)	(0.017)	(0.019)	(0.019)	(0.018)	(0.018)
Constant	0.149^***	0.275^***	0.218^***	0.209^***	0.382^***	0.450^***
	(0.014)	(0.016)	(0.023)	(0.023)	(0.026)	(0.060)
Observations	17,931	17,931	16,022	16,022	16,017	16,017
R-squared	0.027	0.047	0.054	0.054	0.081	0.081
Education	No	Yes	Yes	Yes	Yes	Yes
ISCO	No	No	Yes	Yes	Yes	Yes
Retirement	No	No	No	Yes	Yes	Yes
Health	No	No	No	No	Yes	Yes
HHsize	No	No	No	No	No	Yes
Age	No	No	No	No	No	Yes

Standard errors are given in parentheses.

*** p < 0.01

** p < 0.05

* p < 0.1.

Note: Switzerland is a benchmark for presented estimates.

Men: Explaining trend in the Czech Republic by observable characteristics.
	(1)	(2)	(3)	(4)	(5)	(6)
Variables	Model 1	Model 2	Model 3	Model 4	Model 5	Model 6
Year 2011	0.052^***	0.056^***	0.057^***	0.052^***	0.051^***	0.051^***
	(0.019)	(0.019)	(0.019)	(0.019)	(0.019)	(0.019)
Year 2013	0.058^***	0.067^***	0.068^***	0.060^***	0.054^***	0.053^***
	(0.020)	(0.020)	(0.020)	(0.020)	(0.020)	(0.020)
Year 2015	0.102^***	0.111^***	0.108^***	0.097^***	0.087^***	0.085^***
	(0.021)	(0.021)	(0.021)	(0.021)	(0.021)	(0.022)
Constant	0.244^***	0.288^***	0.251^***	0.225^***	0.284^***	0.212^*
	(0.016)	(0.030)	(0.044)	(0.044)	(0.047)	(0.115)
Observations	5,231	5,230	5,076	5,076	5,073	5,073
R-squared	0.005	0.011	0.013	0.018	0.038	0.038
Education	No	Yes	Yes	Yes	Yes	Yes
ISCO	No	No	Yes	Yes	Yes	Yes
Retirement	No	No	No	Yes	Yes	Yes
Health	No	No	No	No	Yes	Yes
HHsize	No	No	No	No	No	Yes
Age	No	No	No	No	No	Yes

Standard errors are given in parentheses.

*** p < 0.01

** p < 0.05

* p < 0.1.

Women: Explaining trend in the Czech Republic by observable characteristics.
	(1)	(2)	(3)	(4)	(5)	(6)
Variables	Model 1	Model 2	Model 3	Model 4	Model 5	Model 6
Year 2011	0.016	0.026	0.026	0.024	0.023	0.020
	(0.017)	(0.017)	(0.017)	(0.017)	(0.017)	(0.017)
Year 2013	0.047^***	0.067^***	0.064^***	0.060^***	0.057^***	0.052^***
	(0.017)	(0.017)	(0.017)	(0.017)	(0.017)	(0.017)
Year 2015	0.078^***	0.100^***	0.098^***	0.091^***	0.088^***	0.082^***
	(0.018)	(0.018)	(0.018)	(0.018)	(0.018)	(0.018)
Constant	0.268^***	0.385^***	0.330^***	0.280^***	0.404^***	0.226^**
	(0.014)	(0.018)	(0.038)	(0.038)	(0.042)	(0.098)
Observations	7,046	7,046	6,865	6,865	6,858	6,858
R-squared	0.004	0.029	0.033	0.039	0.062	0.063
Education	No	Yes	Yes	Yes	Yes	Yes
ISCO	No	No	Yes	Yes	Yes	Yes
Retirement	No	No	No	Yes	Yes	Yes
Health	No	No	No	No	Yes	Yes
HHsize	No	No	No	No	No	Yes
Age	No	No	No	No	No	Yes

Standard errors are given in parentheses.

*** p < 0.01

** p < 0.05

* p < 0.1.

Note: Standard errors are given in parentheses; the omitted year is 2007.

Tab. 7

Fixed effect regressions: Transition in retirement and BMI

	(1)	(2)	(3)	(4)	(5)
	Czech	West	South	North	East
Variables	BMI	BMI	BMI	BMI	BMI
Pension	0.0814	0.0669*	0.142^*	0.00461	0.0504
	(0.0986)	(0.0362)	(0.0829)	(0.0618)	(0.0693)
HHsize	0.149^***	0.00480	0.0532	0.0304	−0.00209
	(0.0563)	(0.0253)	(0.0454)	(0.0478)	(0.0379)
single	−0.350^**	−0.193^***	0.0820	−0.286^**	−0.522^***
	(0.176)	(0.0700)	(0.166)	(0.116)	(0.129)
age
51	0.524	0.0939	−0.118	−0.266	−0.156
	(0.344)	(0.0983)	(0.231)	(0.174)	(0.202)
52	0.630^**	0.222^***	−0.173	0.0236	0.0320
	(0.300)	(0.0811)	(0.195)	(0.153)	(0.174)
53	0.796^**	0.350^***	−0.181	−0.147	0.170
	(0.324)	(0.0919)	(0.217)	(0.165)	(0.179)
54	1.013^***	0.463^***	0.0720	−0.0365	0.333^*
	(0.302)	(0.0845)	(0.199)	(0.155)	(0.176)
55	1.152^***	0.553^***	0.0402	0.0229	0.399^**
	(0.312)	(0.0907)	(0.209)	(0.165)	(0.169)
56	1.374^***	0.610^***	0.0985	0.129	0.551^***
	(0.309)	(0.0885)	(0.202)	(0.159)	(0.178)
57	1.325^***	0.722^***	−0.0650	0.162	0.417^**
	(0.313)	(0.0921)	(0.212)	(0.163)	(0.177)
58	1.464^***	0.740^***	0.0405	0.223	0.621^***
	(0.311)	(0.0909)	(0.206)	(0.161)	(0.177)
59	1.592^***	0.847^***	0.0663	0.208	0.606^***
	(0.316)	(0.0931)	(0.212)	(0.164)	(0.181)
60	1.830^***	0.903^***	0.0447	0.263	0.695^***
	(0.321)	(0.0939)	(0.214)	(0.164)	(0.181)
61	1.928^***	0.949^***	−0.0240	0.443^***	0.862^***
	(0.324)	(0.0962)	(0.218)	(0.167)	(0.187)
62	1.911^***	1.002^***	−0.0680	0.373^**	0.948^***
	(0.329)	(0.0970)	(0.219)	(0.168)	(0.188)
63	2.026^***	1.079^***	0.0528	0.522^***	0.894^***
	(0.332)	(0.0993)	(0.223)	(0.170)	(0.192)
64	2.327^***	1.060^***	−0.0674	0.432^**	0.972^***
	(0.334)	(0.100)	(0.224)	(0.172)	(0.195)
65	2.162^***	1.149^***	0.105	0.392^**	1.053^***
	(0.337)	(0.104)	(0.229)	(0.176)	(0.198)
66	2.461^***	1.152^***	−0.150	0.415^**	0.928^***
	(0.341)	(0.106)	(0.232)	(0.179)	(0.203)
67	2.344^***	1.223^***	0.0937	0.376^**	0.879^***
	(0.343)	(0.107)	(0.237)	(0.181)	(0.207)
68	2.581^***	1.216^***	0.00468	0.337^*	1.125^***
	(0.348)	(0.110)	(0.242)	(0.183)	(0.214)
69	2.540^***	1.203^***	0.0538	0.428^**	0.962^***
	(0.354)	(0.113)	(0.248)	(0.186)	(0.221)
70	2.169^***	1.167^***	0.0706	0.546	1.050^**
	(0.592)	(0.219)	(0.471)	(0.356)	(0.422)
Constant	26.05^***	25.80^***	26.58^***	25.97^***	27.30^***
	(0.334)	(0.110)	(0.243)	(0.197)	(0.201)
Observations	12,277	47,294	19,649	15,887	20,181
R-squared	0.023	0.015	0.002	0.009	0.011
Number of ID	6,416	23,351	10,251	7,804	10,528

Standard errors are given in parentheses.

*** p < 0.01

** p < 0.05

* p < 0.1.

Tab. A.1

Descriptive statistics

Variables	Mean	Standard deviation	Min	Max
BMI	26.96	4.68	10	59.48
basic_educ	0.15	0.35	0	1
low_sec	0.17	0.38	0	1
high_sec	0.38	0.48	0	1
college	0.28	0.45	0	1
IscoWhit	0.3	0.46	0	1
IscoBlue	0.33	0.47	0	1
vek	60	5.4	50	69
hhsize	2.29	1.02	1	14
ZdraviCelk	2.99	1.06	-2	5
duchodceS1	0.41	0.49	0	1
male1	0.44	0.49	0	1

References

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DOI: https://doi.org/10.2478/cejpp-2019-0010 | Journal eISSN: 1802-4866

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Language: English

Page range: 1 - 18

Submitted on: Oct 9, 2018

Accepted on: Dec 29, 2019

Published on: Mar 13, 2020

Published by: University of Matej Bel in Banska Bystrica, Faculty of Economics

In partnership with: Paradigm Publishing Services

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© 2020 Filip Pertold, published by University of Matej Bel in Banska Bystrica, Faculty of Economics
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Volume 14 (2020): Issue 1 (June 2020)

Obesity around Retirement Age: International Comparison Using SHARE

Figures & Tables

Tab. 1

Tab. 2

Tab. 3

Tab. 4

Fig. 1.

Fig. 2

Fig. 3.

Fig. 4

Figure 5

Tab. 7

Tab. A.1

Paradigm

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