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Non-compensatory aggregation method to measure social and material deprivation in an urban area: relationship with premature mortality

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Abstract

Health inequalities exist between nations, regions, and even smaller units. In societies where social and economic structures change rapidly and continuously, analysis of health socioeconomic determinants plays a fundamental role to provide proper policy answers. This study aims to measure accurately two different conceptions of deprivation by developing two different indexes using non-compensatory among sub-indicators aggregation methods. The proposed indicators are compared with premature mortality to verify deprivation’s effect on health status. The results show that materially deprived areas are not necessarily socially deprived and vice versa. Material deprivation has a positive statistical co-graduation with premature mortality, while social deprivation has no association with premature mortality.

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Appendices

Appendix 1

Analysis of main components on the 14 variables, varimax rotation, Kaiser Normalization, factor structure matrix

Variables

Factor I

Factor II

Factor III

Factor IV

Low education

0.973

0.120

0.005

0.023

Income

0.883

0.285

0.175

0.293

Overcrowding

0.873

0.156

− 0.063

− 0.017

Born on the Islands or South Italy

0.751

0.337

0.236

− 0.134

Old Age Index

− 0.201

− 0.884

− 0.115

− 0.128

Single elders

− 0.360

− 0.830

− 0.049

0.085

Resident foreigners

0.025

0.618

0.338

0.614

Foreigners in school

0.273

0.598

0.285

0.505

Families renting

0.309

0.268

0.739

− 0.147

Divorced

− 0.400

− 0.193

0.762

0.088

Unemployment

0.603

0.306

0.654

0.010

buildings in Mediocre or Bad State

0.148

0.201

0.648

0.107

Single-parent families

− 0.176

− 0.035

0.348

− 0.789

Single-person families

− 0.390

0.019

0.459

0.753

  1. Bold values in the scores is relative to belong to one factor (dimension) rather than another

Appendix 2

Explained total variance: extraction method analysis of main components

Component

Rotation sums square loadings

Total

% of variance

Cumulative %

1

4.22

29.444

29.444

2

2.687

19.191

48.635

3

2.539

18.132

66.768

4

1.963

14.020

80.787

Appendix 3

MPI method: material and social deprivation

UU number

UU name

MPI material dep.

UU number

UU name

MPI social dep.

39

S. Vincenzo

87.07

19

Morego

83.47

40

Carignano

87.16

12

Borzoli ovest

89.06

65

Puggia

87.43

20

S. Quirico

89.64

38

Manin

88.64

52

S. Eusebio

92.48

37

Castelletto

88.76

56

Bavari

92.65

64

Lido

88.92

54

Doria

94.05

62

Albaro

88.95

23

Campi

94.11

41

Foce

89.33

57

S. Desiderio

94.21

63

S. Giuliano

89.46

13

Borzoli Est

94.36

36

S. Nicola

90.15

8

Multedo

94.77

68

Quartara

90.70

53

Molassana

95.44

42

Brignole

91.51

55

Prato

95.50

70

Quinto

91.98

17

Begato

95.63

1

Crevari

93.42

11

Calcinara

96.14

7

Pegli

94.26

58

Apparizione

96.36

67

Quarto

95.01

4

Palmaro

96.49

56

Bavari

95.23

36

S. Nicola

97.20

71

Nervi

95.33

7

Pegli

97.22

27

Belvedere

95.96

48

Forte quezzi

97.44

69

Castagna

96.40

51

Montesignano

97.85

66

Sturla

96.41

37

Castelletto

98.07

58

Apparizione

97.19

6

Castelluccio

98.22

25

S. Gaetano

97.33

38

Manin

98.44

61

S. Martino

97.66

3

Ca Nuova

98.45

6

Castelluccio

97.75

1

Crevari

98.46

21

Pontedecimo

98.13

68

Quartara

98.59

43

S. Agata

98.33

30

S. Teodoro

98.61

8

Multedo

98.43

45

Quezzi

98.61

4

Palmaro

99.00

16

Teglia

98.85

44

S. Fruttuoso

99.18

2

Voltri

98.86

32

Oregina

99.52

65

Puggia

98.89

10

S. Giovanni Battista

99.58

21

Pontedecimo

98.95

2

Voltri

99.87

10

S. Giovanni battista

99.37

55

Prato

100.06

34

Maddalena

99.43

30

S. Teodoro

100.12

5

Pra’

99.45

11

Calcinara

100.19

22

Cornigliano

99.46

12

Borzoli ovest

100.49

69

Castagna

99.51

60

Chiappeto

100.52

33

Pre’

99.68

15

Rivarolo

100.77

70

Quinto

99.87

28

S. Bartolomeo

101.07

63

S. Giuliano

99.95

59

Borgoratti

101.34

35

Molo

100.21

9

Sestri

101.37

31

Lagaccio

100.35

53

Molassana

101.41

14

Certosa

100.39

48

Forte quezzi

101.42

40

Carignano

100.49

31

Lagaccio

101.61

15

Rivarolo

100.51

47

Marassi

101.88

62

Albaro

100.53

57

S. Desiderio

101.93

27

Belvedere

100.57

34

Maddalena

102.14

9

Sestri

100.80

51

Montesignano

102.47

60

Chiappeto

101.09

46

Fereggiano

102.60

64

Lido

101.17

26

Sampierdarena

102.82

32

Oregina

101.42

23

Campi

103.43

67

Quarto

101.49

50

Pantaleo

103.50

46

Fereggiano

101.81

52

S. Eusebio

103.56

71

Nervi

101.95

5

Pra’

103.76

29

Angeli

101.97

13

Borzoli est

103.90

66

Sturla

102.31

14

Certosa

103.99

25

S. Gaetano

102.52

54

Doria

104.08

44

S.Fruttuoso

102.63

16

Teglia

104.24

49

Parenzano

102.70

45

Quezzi

104.96

26

Sampierdarena

102.92

20

S. Quirico

105.00

61

S. Martino

103.06

24

Campasso

105.10

39

S. Vincenzo

103.26

35

Molo

105.20

59

Borgoratti

103.55

22

Cornigliano

105.68

18

Bolzaneto

103.56

49

Parenzano

105.76

28

S. Bartolomeo

104.32

17

Begato

108.37

42

Brignole

104.67

33

Pre’

108.43

41

Foce

105.12

29

Angeli

109.28

24

Campasso

105.24

18

Bolzaneto

109.45

50

Pantaleo

105.32

19

Morego

109.90

43

S. Agata

105.36

3

Ca Nuova

126.24

47

Marassi

107.36

Appendix 4

DP2 method: material and social deprivation

UU number

UU name

DP2 material dep.

UU number

UU name

DP2 social dep.

40

Carignano

3,60

19

Morego

0.41

39

S. Vincenzo

3.68

20

S. Quirico

2.33

37

Castelletto

3.83

56

Bavari

2.99

65

Puggia

4.06

12

Borzoli ovest

3.68

36

S. Nicola

4.12

13

Borzoli est

4.05

41

Foce

4.66

35

Molo

4.16

38

Manin

4.91

34

Maddalena

4.17

63

S. Giuliano

4.96

54

Doria

4.23

62

Albaro

5.05

55

Prato

4.45

64

Lido

5.19

52

S. Eusebio

4.56

42

Brignole

5.24

58

Apparizione

4.68

68

Quartara

5.53

11

Calcinara

4.70

70

Quinto

6.10

33

Pre’

4.72

7

Pegli

6.78

4

Palmaro

4.77

56

Bavari

7.00

53

Molassana

4.87

1

Crevari

7.21

8

Multedo

4.99

67

Quarto

7.26

36

S. Nicola

5.03

71

Nervi

7.48

7

Pegli

5.10

25

S. Gaetano

7.49

23

Campi

5.13

27

Belvedere

7.68

38

Manin

5.26

21

Pontedecimo

7.91

57

S. Desiderio

5.32

58

Apparizione

7.92

21

Pontedecimo

5.40

43

S. Agata

8.22

37

Castelletto

5.40

6

Castelluccio

8.26

30

S. Teodoro

5.46

66

Sturla

8.34

48

Forte quezzi

5.47

44

S. Fruttuoso

8.56

2

Voltri

5.51

69

Castagna

8.59

51

Montesignano

5.68

8

Multedo

8.60

1

Crevari

5.71

4

Palmaro

8.62

5

Pra’

5.73

31

Lagaccio

9.00

17

Begato

5.75

32

Oregina

9.00

45

Quezzi

5.75

61

S. Martino

9.03

68

Quartara

5.84

2

Voltri

9.14

29

Angeli

5.85

11

Calcinara

9.16

16

Teglia

5.96

30

S. Teodoro

9.22

14

Certosa

5.98

10

S. Giovanni battista

9.31

27

Belvedere

5.99

55

Prato

9.42

9

Sestri

6.00

15

Rivarolo

9.51

22

Cornigliano

6.03

12

Borzoli ovest

9.63

31

Lagaccio

6.05

9

Sestri

9.65

63

S. Giuliano

6.08

53

Molassana

9.78

6

Castelluccio

6.11

60

Chiappeto

9.99

15

Rivarolo

6.14

51

Montesignano

10.01

10

S. Giovanni battista

6.14

48

Forte quezzi

10.09

71

Nervi

6.17

28

S. Barbtolomeo

10.13

60

Chiappeto

6.21

26

Sampierdarena

10.33

39

S. Vincenzo

6.29

57

S. Desiderio

10.36

70

Quinto

6.31

47

Marassi

10.49

64

Lido

6.37

59

Borgoratti

10.62

69

Castagna

6.47

5

Pra’

10.63

32

Oregina

6.47

46

Fereggiano

10.71

40

Carignano

6.47

52

S. Eusebio

10.77

49

Parenzano

6.50

23

Campi

11.11

46

Fereggiano

6.56

14

Certosa

11.20

66

Sturla

6.57

22

Cornigliano

11.34

65

Puggia

6.62

34

Maddalena

11.37

62

Albaro

6.66

16

Teglia

11.38

44

S. Fruttuoso

6.74

50

Pantaleo

11.40

67

Quarto

6.77

24

Campasso

11.47

61

S. Martino

6.92

54

Doria

11.53

25

S. Gaetano

7.01

13

Borzoli Est

11.77

59

Borgoratti

7.01

45

Quezzi

11.82

26

Sampierdarena

7.01

20

S. Quirico

12.00

28

S. Bartolomeo

7.06

49

Parenzano

12.03

18

Bolzaneto

7.20

35

Molo

12.73

42

Brignole

7.26

18

Bolzaneto

13.39

43

S. Agata

7.27

17

Begato

13.41

50

Pantaleo

7.33

29

Angeli

14.56

41

Foce

7.59

33

Pre’

14.77

24

Campasso

7.95

19

Morego

15.16

47

Marassi

8.12

3

Ca Nuova

22.57

3

Ca Nuova

8.44

Appendix 5

Cluster analysis results: classes of deprivation

Material deprivation class

UU number

UU name

Material index

Social deprivation class

UU number

UU name

Social index

1

39

S. Vincenzo

87.07

1

19

Morego

83.47

1

40

Carignano

87.16

1

12

Borzoli ovest

89.06

1

65

Puggia

87.43

1

20

S. Quirico

89.64

1

38

Manin

88.64

1

52

S. Eusebio

92.48

1

37

Castelletto

88.76

1

56

Bavari

92.65

1

64

Lido

88.92

1

54

Doria

94.05

1

62

Albaro

88.95

1

23

Campi

94.11

1

41

Foce

89.33

1

57

S. Desiderio

94.21

1

63

S. Giuliano

89.46

1

13

Borzoli Est

94.36

1

36

S. Nicola

90.15

1

8

Multedo

94.77

1

68

Quartara

90.7

1

53

Molassana

95.44

1

42

Brignole

91.51

1

55

Prato

95.5

1

70

Quinto

91.98

1

17

Begato

95.63

2

1

Crevari

93.42

2

11

Calcinara

96.14

2

7

Pegli

94.26

2

58

Apparizione

96.36

2

67

Quarto

95.01

2

4

Palmaro

96.49

2

56

Bavari

95.23

2

36

S. Nicola

97.2

2

71

Nervi

95.33

2

7

Pegli

97.22

2

27

Belvedere

95.96

2

48

Forte quezzi

97.44

2

69

Castagna

96.4

2

51

Montesignano

97.85

2

66

Sturla

96.41

2

37

Castelletto

98.07

2

58

Apparizione

97.19

2

6

Castelluccio

98.22

2

25

S. Gaetano

97.33

2

38

Manin

98.44

2

61

S. Martino

97.66

2

3

Ca Nuova

98.45

2

6

Castelluccio

97.75

2

1

Crevari

98.46

2

21

Pontedecimo

98.13

2

68

Quartara

98.59

2

43

S. Agata

98.33

2

30

S. Teodoro

98.61

2

8

Multedo

98.43

2

45

Quezzi

98.61

3

4

Palmaro

99

3

16

Teglia

98.85

3

44

S. Fruttuoso

99.18

3

2

Voltri

98.86

3

32

Oregina

99.52

3

65

Puggia

98.89

3

10

S. Giovanni battista

99.58

3

21

Pontedecimo

98.95

3

2

Voltri

99.87

3

10

S. Giovanni battista

99.37

3

55

Prato

100.06

3

34

Maddalena

99.43

3

30

S. Teodoro

100.12

3

5

Pra’

99.45

3

11

Calcinara

100.19

3

22

Cornigliano

99.46

3

12

Borzoli ovest

100.49

3

69

Castagna

99.51

3

60

Chiappeto

100.52

3

33

Pre’

99.68

3

15

Rivarolo

100.77

3

70

Quinto

99.87

3

28

S. Bartolomeo

101.07

3

63

S. Giuliano

99.95

3

59

Borgoratti

101.34

3

35

Molo

100.21

3

9

Sestri

101.37

3

31

Lagaccio

100.35

3

53

Molassana

101.41

3

14

Certosa

100.39

3

48

Forte quezzi

101.42

3

40

Carignano

100.49

3

31

Lagaccio

101.61

3

15

Rivarolo

100.51

3

47

Marassi

101.88

3

62

Albaro

100.53

3

57

S. Desiderio

101.93

3

27

Belvedere

100.57

3

34

Maddalena

102.14

3

9

Sestri

100.8

3

51

Montesignano

102.47

3

60

Chiappeto

101.09

3

46

Fereggiano

102.6

3

64

Lido

101.17

3

26

Sampierdarena

102.82

3

32

Oregina

101.42

4

23

Campi

103.43

4

67

Quarto

101.49

4

50

Pantaleo

103.5

4

46

Fereggiano

101.81

4

52

S. Eusebio

103.56

4

71

Nervi

101.95

4

5

Pra’

103.76

4

29

Angeli

101.97

4

13

Borzoli EST

103.9

4

66

Sturla

102.31

4

14

Certosa

103.99

4

25

S. Gaetano

102.52

4

54

Doria

104.08

4

44

S. Fruttuoso

102.63

4

16

Teglia

104.24

4

49

Parenzano

102.7

4

45

Quezzi

104.96

4

26

Sampierdarena

102.92

4

20

S. Quirico

105

4

61

S. Martino

103.06

4

24

Campasso

105.1

4

39

S. Vincenzo

103.26

4

35

Molo

105.2

4

59

Borgoratti

103.55

4

22

Cornigliano

105.68

4

18

Bolzaneto

103.56

4

49

Parenzano

105.76

4

28

S. Bartolomeo

104.32

5

17

Begato

108.37

5

42

Brignole

104.67

5

33

Pre’

108.43

5

41

Foce

105.12

5

29

Angeli

109.28

5

24

Campasso

105.24

5

18

Bolzaneto

109.45

5

50

Pantaleo

105.32

5

19

Morego

109.9

5

43

S. Agata

105.36

5

3

Ca Nuova

126.24

5

47

Marassi

107.36

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Bruzzi, C., Ivaldi, E. & Landi, S. Non-compensatory aggregation method to measure social and material deprivation in an urban area: relationship with premature mortality. Eur J Health Econ 21, 381–396 (2020). https://doi.org/10.1007/s10198-019-01139-x

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