A total of 492 people (62% women, 37% men) responded to the online questionnaire, the vast majority (90.6%) between the ages 25-64 [mean (SD): 42.2 (12.4) years, median: 40, IQR: 33-55). Due to the design of the study, participation rate cannot be estimated, but according to Facebook statistics, the paid ads reached 8932 people across all age-groups with an equal proportion in terms of gender, resulting in 523 engagements over a period of two weeks. Missing socio-demographic information and item ratings were limited to 3-5 casewise and 7 listwise, leaving 485 complete questionnaires for analysis. Responses originated from 254 postcodes, representing 21.7% of all postcodes (N=1117). With only a small number of wrong or inconsistent postcodes (N=14), the remaining 240 (94.5%) were linked to area-level census indicators. While, the urban-rural population distribution in Cyprus is 67% vs 33%, as many as 85.6% of the ratings in this survey concerned an urban neighbourhood. There was higher participation from the city of Limassol (where the University is based) and Nicosia (capital city), while only 10% of responses originated from other districts.
Table 1
Socio-demographic characteristics of the participants (N=492)
Variable
|
Variable Categories
|
N
|
%
|
2011 census†‡
|
2011 census – ages 25-64‡
|
Gender
|
Male
|
182
|
37.0%
|
48.6%
|
47.8%
|
Female
|
307
|
62.4%
|
51.4%
|
52.2%
|
Not reported
|
3
|
0.6%
|
|
|
Age
|
<25
|
16
|
3.3%
|
30.6%
|
|
25-34
|
130
|
26.4%
|
17.1%
|
30.5%
|
35-44
|
166
|
33.7%
|
14.5%
|
25.8%
|
45-54
|
76
|
15.4%
|
13.5%
|
24.0%
|
55-64
|
74
|
15.0%
|
11.0%
|
19.7%
|
65+
|
26
|
5.3%
|
13.3%
|
|
Not reported
|
4
|
0.8%
|
|
|
Nationality
|
Cypriot
|
447
|
90.9%
|
79.4%
|
68.7%
|
Not Cypriot
|
42
|
8.5%
|
20.3%
|
30.5%
|
Not reported
|
3
|
0.6%
|
|
|
Marital status
|
Married/Cohabiting
|
336
|
68.3%
|
50.0%
|
71.5%
|
Single
|
117
|
23.8%
|
41.0%
|
19.7%
|
Divorced/ Widowed
|
36
|
7.3%
|
8.2%
|
7.8%
|
Not reported
|
3
|
0.6%
|
|
|
Household size
|
Single-person
|
67
|
13.6%
|
20.8%
|
17.9%
|
Two-person household
|
120
|
24.4%
|
30.9%
|
22.9%
|
Three-person household
|
121
|
24.6%
|
18.2%
|
20.1%
|
Four-person household
|
131
|
26.6%
|
17.5%
|
22.5%
|
≥5-person household
|
48
|
9.8%
|
12.6%
|
16.5%
|
Not reported
|
5
|
1.0%
|
|
|
Educational attainment
|
Up to secondary
|
40
|
8.1%
|
67.6%
|
59.3%
|
Tertiary-College
|
51
|
10.4%
|
10.3%
|
12.8%
|
Tertiary-University
|
143
|
29.1%
|
14.6%
|
18.1%
|
Postgraduate degree
|
208
|
42.3%
|
5.1%
|
6.9%
|
Doctoral degree
|
47
|
9.6%
|
0.5%
|
0.7%
|
Not reported
|
3
|
0.6%
|
|
|
Employment status
|
Full-time employment
|
357
|
72.6%
|
52.6%
|
79.5%
|
Part-time employment
|
55
|
11.2%
|
Unemployment
|
17
|
3.5%
|
6.5%
|
7.6%
|
Not active/ Retired
|
60
|
12.2%
|
38.4%
|
18.9%
|
Not reported
|
3
|
0.6%
|
|
|
Financial difficulties ¥
|
No
|
312
|
63.4%
|
|
|
Yes
|
177
|
36.0%
|
|
|
Not reported
|
3
|
0.6%
|
|
|
House tenure
|
Owner-occupied
|
371
|
75.4%
|
67.8%
|
67.9%
|
Privately renting
|
100
|
20.3%
|
19.5%
|
22.4%
|
Other
|
18
|
3.7%
|
11.6%
|
8.4%
|
Not reported
|
3
|
0.6%
|
|
|
House type
|
Detached
|
219
|
44.5%
|
40.1%
|
|
Semi-detached
|
112
|
22.8%
|
21.2%
|
|
Block of ≤8 apartments
|
85
|
17.3%
|
28.7%
|
|
Block of >8 apartments
|
73
|
14.8%
|
|
Not reported
|
3
|
0.6%
|
|
|
Residence in current address¥
|
More than 10 years
|
258
|
52.4%
|
|
|
5-10 years
|
92
|
18.8%
|
|
|
3-5 years
|
47
|
9.6%
|
|
|
1-3 years
|
61
|
12.4%
|
|
|
Less than 1 year
|
31
|
6.3%
|
|
|
Not reported
|
3
|
0.6%
|
|
|
District of residence
|
Nicosia
|
216
|
43.9%
|
38.9%
|
39.6%
|
Limassol
|
225
|
45.7%
|
28.0%
|
27.9%
|
Other
|
51
|
10.4%
|
33.1%
|
32.5%
|
Urban-Rural
|
Urban
|
421
|
85.6%
|
67.4%
|
68.7%
|
Rural
|
71
|
14.4%
|
32.6%
|
31.3%
|
† Educational attainment and employment status which refer to the population over 15 years of age, the rest of the variables refer to all age groups. ‡ Census estimates for house tenure and type are expressed as a proportion of total number of households and not population. Estimates for housing type by age-group of interest was not readily available in the 2011 census reported figures. ¥ Proportion of people reporting financial difficulties and length of residence in current address are not available from the 2011 Cypriot census.
|
Table 1 presents the socio-demographic characteristics of the participants along with the expected distribution of these variables according to the 2011 census, where available, for the total population as well as in people aged 24-64 which corresponds more closely to the age profile of the participants. More than half of the responders (52.4%) reported that they have been living in their current address for over 10 years. They were also more likely to be home owners (75.4%) and live in a detached or semi-detached house than an apartment (67.3%) which nevertheless is consistent with the census. With regard to household size, marital and occupational status, the profile of participants also appeared relatively consistent with the census. However, in terms of educational attainment, survey participants were much more likely to be University graduates (81%) compared to what would be expected for this age group.
Table 2
Assessment of the 14 Place Standard single-item dimensions of the neighborhood environment on a scale of 1: large improvement to 7: little improvement (N=488-491)
|
Summary statistics
|
Percentage reporting …
|
Place Standard Tool items
|
N
|
Mean (SD)
|
Median
|
Min-Max
|
Large improvement (responses 1-2)
|
Around midpoint
(3-5)
|
Little improvement
(responses 6-7)
|
Q1: Moving around
|
491
|
2.87 (1.82)
|
2
|
1-7
|
51.3%
|
37.9%
|
10.8%
|
Q2: Public transport
|
488
|
2.47 (1.50)
|
2
|
1-7
|
58.0%
|
38.1%
|
3.9%
|
Q3: Traffic & Parking
|
489
|
3.06 (1.72)
|
3
|
1-7
|
43.8%
|
47.0%
|
9.2%
|
Q4: Streets & Spaces
|
489
|
3.00 (1.68)
|
3
|
1-7
|
43.6%
|
48.3%
|
8.2%
|
Q5: Natural space
|
489
|
3.38 (1.98)
|
3
|
1-7
|
41.5%
|
38.7%
|
19.8%
|
Q6: Play & Recreation
|
491
|
3.18 (1.78)
|
3
|
1-7
|
41.3%
|
45.8%
|
12.8%
|
Q7: Facilities & Amenities
|
490
|
3.35 (1.70)
|
3
|
1-7
|
35.3%
|
52.9%
|
11.8%
|
Q8: Work & Local economy
|
490
|
3.75 (1.72)
|
4
|
1-7
|
25.9%
|
56.1%
|
18.0%
|
Q9: Housing & Community
|
490
|
3.50 (1.72)
|
4
|
1-7
|
33.3%
|
54.3%
|
12.4%
|
Q10: Social contact
|
491
|
3.14 (1.76)
|
3
|
1-7
|
43.8%
|
44.6%
|
11.6%
|
Q11: Identity & Belonging
|
491
|
3.43 (1.81)
|
3
|
1-7
|
35.2%
|
50.9%
|
13.8%
|
Q12: Feeling safe
|
491
|
4.35 (1.74)
|
5
|
1-7
|
17.9%
|
50.8%
|
31.1%
|
Q13: Care & Maintenance
|
491
|
3.21 (1.72)
|
3
|
1-7
|
38.9%
|
51.3%
|
9.8%
|
Q14: Influence & Sense of control
|
491
|
2.44 (1.59)
|
2
|
1-7
|
60.3%
|
34.0%
|
5.7%
|
Total score (theoretical range: 14-98)
|
485
|
44.94 (15.09)
|
45
|
17-89
|
|
|
|
|
N
|
Mean (SD)
|
Median
|
Min-Max
|
Relatively disadvantaged (1-3)
|
Around midpoint (4-7)
|
Relatively privileged
(8-10)
|
Subjective assessment on 1-10 ladder of neighborhood’s social position
|
491
|
5.91 (2.18)
|
6
|
1-10
|
17.1%
|
58.1%
|
24.6%
|
Table 2 presents summary statistics of the participants’ ratings across the 14 Place Standard items (with lower ratings denoting more room for improvement and thus more dissatisfaction with current state) as well as the total score (theoretical range: 14-98). Even though there was wide variability, ratings were generally low with averages close or consistently below the midpoint across all items. Sense of safety in the neighbourhood (Q12: “Do I feel safe here?” with reference to crime and anti-social behaviour among others) was the only item with an average rating above the midpoint (M=4.35, SD=1.74). All other domains were not rated as favourably with the lowest average scores recorded for “influence and sense of control” (Q14: “Do I feel able to take part in decisions and help change things for the better?”) with Mean score (SD)=2.44 (1.59), followed by “public transport” (Q2: “Does public transport meet my needs?” referring to affordable, reliable and well-connected services), with Mean (SD)=2.47 (1.50). The percentage of survey participants who thought that there is large room for improvement in these two aspects (i.e. a rating of 2 or lower) is as high as 60.3% and 58.0% respectively. Table 1 also shows the frequency distribution of responses across low (1-2) vs high (6-7) ratings. As many as 33%-51% of participants gave a low rating in a further seven domains. In contrast, only one in every ten participants rated their neighbourhood environment favourably in eleven out of 14 domains. Aspects rated relatively more favourably were “Safety”, “Natural space” and “Work and Local economy”, for which at least one in four people gave a comparatively high rating.
With regard to the participants’ subjective assessment of neighbourhood’s social position (NSP), 24.6% placed their neighbourhood at steps 8 or 9 (i.e. relatively privileged), with no one choosing the top step. The majority (58.1%) placed their neighbourhood between steps 4-7, while 17.1% placed it at the bottom three steps (i.e. relatively disadvantaged compared to other neighbourhoods). Subjective assessment of neighbourhood’s social position was positively correlated with all Place Standard domains (ρ = 0.3-0.5) – see Table 3. The only exception for which a lower correlation was observed was with regard to Public Transport. This may not surprising given that the transport network and services in Cypriot cities and communities is neither well-developed nor widely used by the public, and it may not be generally considered as a defining feature of a neighbourhood’s social position. Neighbourhood’s social position (as assessed by participants) was more strongly correlated with the total Place Standard score (ρ = 0.6) rather than any single item.
Table 3
Spearman’s correlation coefficient between the 14 domain scores of the neighborhood’s environment and subjective assessment of neighborhood’s social position.
Place Standard
|
Q1
|
Q2
|
Q3
|
Q4
|
Q5
|
Q6
|
Q7
|
Q8
|
Q9
|
Q10
|
Q11
|
Q12
|
Q13
|
Q14
|
Total score
|
Neighborhood social position
|
Q1: Moving around
|
1
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Q2: Public transport
|
0.27
|
1
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Q3: Traffic & Parking
|
0.37
|
0.24
|
1
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Q4: Streets & Spaces
|
0.39
|
0.27
|
0.46
|
1
|
|
|
|
|
|
|
|
|
|
|
|
|
Q5: Natural space
|
0.48
|
0.24
|
0.33
|
0.51
|
1
|
|
|
|
|
|
|
|
|
|
|
|
Q6: Play & Recreation
|
0.39
|
0.30
|
0.31
|
0.47
|
0.69
|
1
|
|
|
|
|
|
|
|
|
|
|
Q7: Facilities & Amenities
|
0.21
|
0.27
|
0.33
|
0.40
|
0.40
|
0.41
|
1
|
|
|
|
|
|
|
|
|
|
Q8: Work & Local economy
|
0.17
|
0.25
|
0.17
|
0.33
|
0.22
|
0.33
|
0.40
|
1
|
|
|
|
|
|
|
|
|
Q9: Housing & Community
|
0.25
|
0.26
|
0.37
|
0.36
|
0.32
|
0.26
|
0.33
|
0.36
|
1
|
|
|
|
|
|
|
|
Q10: Social contact
|
0.27
|
0.21
|
0.26
|
0.34
|
0.40
|
0.43
|
0.25
|
0.38
|
0.36
|
1
|
|
|
|
|
|
|
Q11: Identity & Belonging
|
0.27
|
0.21
|
0.30
|
0.46
|
0.40
|
0.37
|
0.34
|
0.32
|
0.33
|
0.60
|
1
|
|
|
|
|
|
Q12: Feeling safe
|
0.21
|
0.12
|
0.35
|
0.36
|
0.34
|
0.28
|
0.35
|
0.26
|
0.37
|
0.33
|
0.42
|
1
|
|
|
|
|
Q13: Care & Maintenance
|
0.25
|
0.22
|
0.42
|
0.52
|
0.42
|
0.40
|
0.42
|
0.25
|
0.49
|
0.33
|
0.42
|
0.51
|
1
|
|
|
|
Q14: Influence & Sense of control
|
0.25
|
0.18
|
0.31
|
0.40
|
0.40
|
0.40
|
0.34
|
0.20
|
0.35
|
0.37
|
0.37
|
0.29
|
0.44
|
1
|
|
|
Total Place Standard score
|
0.55
|
0.45
|
0.60
|
0.72
|
0.71
|
0.70
|
0.62
|
0.53
|
0.62
|
0.64
|
0.67
|
0.59
|
0.69
|
0.60
|
1
|
|
Neighborhood social position
|
0.37
|
0.17
|
0.36
|
0.48
|
0.39
|
0.38
|
0.37
|
0.36
|
0.30
|
0.24
|
0.43
|
0.50
|
0.47
|
0.27
|
0.60
|
1
|
Correlations ≥0.40 are indicated in bold to facilitate interpretation.
|
Pairwise correlations between Place Standard items were positive and in the magnitude of 0.2-0.7. Inter-item and item-total correlations are also presented in Table 3. The strongest correlations were observed between conceptually related domains. For instance, “Natural space” (Q5: “Can I regularly experience good-quality natural space?”, which would include parks and other green spaces) is strongly correlated (ρ = 0.69) with “Play and Recreation” (Q6: “Can I access a range of spaces with opportunities for play and recreation?”). Similarly, “Social Contact” (Q10: “Is there a range of spaces and opportunities to meet people?”) is more strongly correlated with “Identity and Belonging” (Q11: “Does this place have a positive identity and do I feel I belong?”).
Table 4
Four-factor dimensionality of the Place Standard tool in the rotated component matrix.
Place Standard
|
Factor 1:
Built environment
(6 items)
|
Factor 2:
Physical environment
(3 items)
|
Factor 3:
Social environment
(2 items)
|
Factor 4:
Service environment
(3 items)
|
Q1: Moving around
|
|
0.73
|
|
|
Q2: Public transport
|
|
|
|
0.74
|
Q3: Traffic & Parking
|
0.65
|
|
|
|
Q4: Streets & Spaces
|
0.51
|
0.49
|
|
|
Q5: Natural space
|
|
0.76
|
|
|
Q6: Play & Recreation
|
|
0.71
|
|
|
Q7: Facilities & Amenities
|
0.43
|
|
|
0.45
|
Q8: Work & Local economy
|
|
|
0.47
|
0.69
|
Q9: Housing & Community
|
0.61
|
|
|
|
Q10: Social contact
|
|
|
0.78
|
|
Q11: Identity & Belonging
|
|
|
0.69
|
|
Q12: Feeling safe
|
0.69
|
|
|
|
Q13: Care & Maintenance
|
0.76
|
|
|
|
Q14: Influence/Sense of control
|
0.44
|
|
|
|
% variance explained (61.6%)
|
19.5%
|
17.1%
|
14.0%
|
11.0%
|
Cronbach’s alpha internal consistency (0.88)
|
0.798
|
0.765
|
0.749
|
0.580
|
Notes: ΚΜΟ Measure of Sampling Adequacy= 0.885; p-value Bartlett’s test for Sphericity <0.001
|
Cronbach’s alpha coefficient for internal consistency for the overall scale was 0.88. Kaiser–Meyer–Olkin coefficient for sampling adequacy was 0.885 and the Bartlett’s test of sphericity was statistically significant (p-value < 0.001), supporting appropriateness for factor analysis. Table 4 presents the factor structure of the Place Standard. The analysis revealed a clear and readily interpretable dimensionality of four factors with an eigenvalue greater than one. There was very little cross-loading and the four factors explained 61.6% of the total variance. Six items loaded on the first factor, explaining 19.5% of the variance. The first factor (6 items) mainly taps on aspects or features related to the Built Environment (Traffic & Parking, Streets & Spaces, Housing & Community) as well as their overall level of Care & Maintenance (item Q13 directly refers to whether “buildings and spaces” are well-cared for). Interestingly, neighbourhood safety also loaded on this factor. While the specific item refers to general “feelings of safety”, prompt questions provided to assist participants in thinking of this aspect of neighbourhood refer to “derelict property”, “safe routes”, which would also include, for example, well-lid paths frequented by people, and other design features of public and communal spaces (e.g. “spaces overlooked by buildings”). Furthermore, while “safety” relates to social activity, it should be noted that other potentially related items in the Place Standard refer to positive aspects of the social environment rather than disorder (e.g. anti-social and delinquent behaviour). The only item in the first factor whose link to the built environment appears conceptually weak is “Influence and Sense of control”. While the item loading was rather low (and close to the pre-set cut-off point of 0.4), neither extracting three or five factors revealed an improved structure or interpretation. In fact, extracting more factors results in this item loading on its own as a fifth factor.
Three items loaded on the second factor, explaining a further 17.1% of the variance, namely Natural space, Play & Recreation, and Moving around (which refers to walking and cycling). This was termed “Physical Environment”, as it captures parks, green areas and other spaces such as walking paths and cycling routes which, rather than a streetscaping feature in the context of a Cypriot city, they are more likely to be found within parks, designated nature areas or alongside dry river beds (linear parks). The two Place Standard items which tap on the “Social Environment”, namely Social contact and Identity & Belonging, loaded on the third factor, explaining a further 14% of the variance. Lastly, the remaining three items (Facilities & Amenities, Public Transport and Work & Local economy) loaded on the fourth factor, explaining a further 11% of the variance. Work and Local economy also loaded on the “Social Environment”. While interpretable, since a community with an active local economy with shops, restaurants and other meeting places may presumably provide additional opportunities for social contact, its loading (0.47) was much lower than the next higher loading on this factor (0.69), while it clearly had a higher loading on the “Service Environment” (0.69). All factors had high internal consistency with Cronbach’s alpha coefficient ranging from 0.6 (service environment) to 0.8 (built environment).
Survey participants who placed their neighbourhood on the three top steps (8-10) of the social position ladder consistently rated all aspects of the neighbourhood environment more favourably. Using the characteristic Place Standard radial plot, Figure 1 presents the difference in mean ratings according to the participants’ subjective assessment of their neighbourhood’s social position (NSP). There was a clear stepwise pattern by NSP, with the lowest scores consistently recorded among participants who placed their neighbourhood on the bottom three steps of the ladder (1-3). With the exception of Public Transport, all observed differences were statistically significant at the 1% level. The largest differences were observed in terms of “Safety” and “Street & Spaces”, while the smallest were observed in terms of “Social contact”. K-means cluster analysis identified three groups of neighbourhoods based on the participants’ ratings. Figure 2 presents the Place Standard profile of these clusters. Interestingly, differences were clearly apparent in all aspects and no particular feature was more defining of the clusters than any other. Each of these neighbourhood profiles was related with up to two steps lower on the 1-10 subjective social position ladder. Specifically, the Mean (SD) of the NSP across neighbourhoods from most (N=126) to least favourable ratings (N=140) were 7.39 (1.42), 6.19 (1.63) and 4.12 (2.22) respectively; p-value<0.001.
The magnitude of differences by subjective NSP was further explored in terms of the percentage of survey participants who reported that there is large room for improvement in a certain aspect or feature (i.e. rated 2 or lower on the 1-7 Place Standard scale). A clear stepwise association between NSP and all aspects of place was observed with increasing likelihood of expressing dissatisfaction with neighbourhood along the social position continuum. Table S1 (see Additional file 2) presents the frequency of low ratings for each neighbourhood aspect by neighbourhood’s social position and the respective odd ratios, as estimated in logistic regression models. In fact, this consistent stepwise pattern largely holds even across every step of the social position ladder (see Table S2, Additional file 2) and appears both in the case of features rated more favourably (e.g. safety and social contact) as well as generally less favourably (e.g. influence and sense of control). For instance, only 6.3% of the participants who placed their neighbourhood at the top of the ladder expressed concern about safety, whereas this figure rises incrementally along the social position continuum with 1.7 times (95% CI 1.5-1.9) more likely to rate neighbourhood safety lower at every preceding step of the ladder, to a high of 85% among those who placed their neighbourhood at the bottom. Similarly, even though a generally higher percentage of participants rated “influence and social control” low, including those at the top of the social position ladder (48.8% in steps 8-10), the equivalent figure among those at the bottom (steps 1-3) is 81.0%, representing a statistically significant difference in the odds ratio scale of 4.5 times (95% CI 2.3, 8.6) more likely to express dissatisfaction about sense of participation at the lower end of the social position scale.
Table 5 presents mean differences in the four factor scores and overall Place Standard score by subjective NSP. To facilitate comparisons, scores were transformed to a 0-100 scale due to the different number of items in each sub-scale. Average scores were generally low (45-50) even among those who, according to their own assessment, lived in relatively privileged neighbourhoods. Lower average scores were recorded by descending social position across all domains (built, physical, social and service environment). Among those who placed their neighbourhoods at the bottom of the ladder (1-3), average scores were in the range of 17-22. All observed differences were statistically significant (p value for linear trend <0.001) with average scores incrementally lower by around 4 (service environment) to 7 (built environment) points per every step on the 1-10 ladder.
Table 5
Observed differences in neighborhood environment scores (total scale and sub-scales on a 0-100 scale) by subjective assessment of neighborhood’s social position.
Subjective assessment of neighborhood’s social position (1-10 step ladder)
|
Built environment
(6 items)
|
Physical environment (3 items)
|
Social environment (2 items)
|
Service environment
(3 items)
|
Total Score
(projected on 1-100)
|
Mean (SD)
|
Mean (SD)
|
Mean (SD)
|
Mean (SD)
|
Mean (SD)
|
Relatively disadvantaged (1-3)
|
17.9 (16.3)
|
17.2 (21.0)
|
20.5 (24.6)
|
22.0 (18.1)
|
18.9 (15.3)
|
Around midpoint (4-7)
|
37.9 (16.2)
|
35.8 (23.4)
|
39.0 (24.8)
|
37.0 (18.1)
|
37.2 (14.6)
|
Relatively privileged (8-10)
|
50.0 (19.6)
|
47.8 (26.0)
|
48.2 (26.4)
|
45.0 (20.6)
|
48.2 (17.0)
|
p-value
|
<0.001
|
<0.001
|
<0.001
|
<0.001
|
<0.001
|
|
Coefficient
(95% CI)
|
Coefficient
(95% CI)
|
Coefficient
(95% CI)
|
Coefficient
(95% CI)
|
Coefficient
(95% CI)
|
Per category increase (95% CI)
|
15.6 (13.3, 18.0)
|
14.9 (11.6, 18.2)
|
13.3 (9.9, 16.8)
|
11.2 (8.5, 13.8)
|
14.2 (12.1, 16.4)
|
p-value for trend
|
<0.001
|
<0.001
|
<0.001
|
<0.001
|
<0.001
|
Per unit increase across 1-10 ladder
|
6.7 (4.5, 5.9)
|
5.4 (4.5, 6.4)
|
4.6 (3.6, 5.6)
|
3.9 (3.1, 4.6)
|
4.9 (4.3, 5.5))
|
p-value for trend
|
<0.001
|
<0.001
|
<0.001
|
<0.001
|
<0.001
|
While no clear pattern in the ratings were observed according to the gender or age of the participants, certain socio-demographic characteristics appeared to be more consistently associated with neighbourhood ratings. Observed differences in ratings according to participants’ characteristics are presented in Table S3 (see Additional file 3). Home owners and people with higher educational attainment tended to rate several aspects of the neighbourhood environment more favourably. Furthermore, there was a consistent pattern of lower ratings in all domains among people who reported financial difficulties, with the exception of social environment. In fact, social environment scores were not associated with any socio-demographic characteristics.
Table 6
Neighborhood environment scores by census indicators before and after adjusting for socio-demographic characteristics of the participants.
Census variables
|
Classification of postcodes according to quartile levels of census indicators
|
Built environment score (6 items)
|
Physical environment score (3 items)
|
Social environment score (2 items)
|
Service environment score (3 items)
|
Total
Place Standard score (14 items)
|
Area-level variables before and after adjusting for individual-level variables† ‡
|
Mean (SD)
|
Mean (SD)
|
Mean (SD)
|
Mean (SD)
|
Mean (SD)
|
% pre-1980 construction
|
Q1 – Lowest
|
41.3 (18.6)
|
|
|
|
38.5 (17.4)
|
Q2
|
39.0 (19.1)
|
|
|
|
37.3 (16.6)
|
Q3
|
36.0 (19.7)
|
|
|
|
37.2 (18.9)
|
Q4 - Highest
|
32.6 (20.4)
|
|
|
|
34.4 (18.7)
|
p-value
|
0.007
|
|
|
|
0.34
|
Unadjusted – Difference per quartile (95% CI); p-value
|
-2.6 (-4.2, -1.0); p=0.001
|
|
|
|
-1.2 (-2.7, 0.2); p=0.09
|
Adjusted - Difference per quartile (95% CI); p-value
|
-1.8 (-3.4, -0.2); p=0.03
|
|
|
|
-1.1 (-2.6, 0.3); p=0.12
|
% apartment blocks-mixed used
|
Q1 – Lowest
|
43.7 (22.9)
|
34.6 (25.5)
|
|
32.2 (21.4)
|
|
Q2
|
35.8 (19.5)
|
29.8 (24.1)
|
|
36.0 (19.4)
|
|
Q3
|
38.0 (18.2)
|
36.3 (24.6)
|
|
38.6 (19.5)
|
|
Q4 - Highest
|
31.7 (15.5)
|
40.3 (25.7)
|
|
38.3 (18.8)
|
|
p-value
|
<0.001
|
0.02
|
|
0.06
|
|
Unadjusted – Difference per quartile (95% CI); p-value
|
-3.2 (-4.8, -1.6); p<0.001
|
2.4 (0.4, 4.5); p=0.02
|
|
2.0 (0.4, 3.6); p=0.02
|
|
Adjusted - Difference per quartile (95% CI); p-value
|
-2.9 (-4.6, -1.2); p<0.001
|
2.2 (0.2, 4.2) p=0.03
|
|
2.0 (0.4, 3.6); p=0.01
|
|
% single-parent households
|
Q1 – Lowest
|
40.6 (20.1)
|
39.4 (26.9)
|
|
|
38.9 (17.9)
|
Q2
|
41.2 (19.4)
|
33.4 (22.9)
|
|
|
38.6 (16.6)
|
Q3
|
34.2 (19.2)
|
36.9 (27.4)
|
|
|
35.1 (18.8)
|
Q4 - Highest
|
32.9 (18.8)
|
32.2 (24.2)
|
|
|
33.9 (16.9)
|
p-value
|
0.001
|
0.11
|
|
|
0.08
|
Unadjusted – Difference per quartile (95% CI); p-value
|
-2.7 (-4.3, -1.1); p=0.001
|
-1.8 (-3.9, 0.2); p=0.08
|
|
|
-1.8 (-3.2, -0.3); p=0.02
|
Adjusted - Difference per quartile (95% CI); p-value
|
-2.3 (-3.8, -0.7); p=0.005
|
-1.9 (-4.0, -0.1); p=0.06
|
|
|
-1.7 (-3.1, -0.2); p=0.02
|
% non-Cypriot population
|
Q1 – Lowest
|
40.2 (19.7)
|
31.4 (23.2)
|
|
|
|
Q2
|
40.1 (20.0)
|
36.5 (27.2)
|
|
|
|
Q3
|
36.3 (21.4)
|
35.0 (24.8)
|
|
|
|
Q4 - Highest
|
33.7 (17.7)
|
39.1 (26.4)
|
|
|
|
p-value
|
0.03
|
0.13
|
|
|
|
Unadjusted – Difference per quartile (95% CI); p-value
|
-2.3 (-3.9, -0.7); p=0.005
|
2.2 (0.1, 4.2); p=0.04
|
|
|
|
Adjusted - Difference per quartile (95% CI); p-value
|
-1.7 (-3.3, -0.0); p=0.05
|
2.0 (-0.1, 4.0); p=0.06
|
|
|
|
% population aged 65 or over
|
Q1 – Lowest
|
41.7 (18.4)
|
|
|
|
|
Q2
|
36.5 (19.0)
|
|
|
|
|
Q3
|
33.8 (21.1)
|
|
|
|
|
Q4 - Highest
|
36.9 (19.4)
|
|
|
|
|
p-value
|
0.02
|
|
|
|
|
Unadjusted – Difference per quartile (95% CI); p-value
|
-1.7 (-3.3, -0.1); p=0.04
|
|
|
|
|
Adjusted - Difference per quartile (95% CI); p-value
|
-0.81 (-2.4, 0.8); p=0.32
|
|
|
|
|
Urban-rural place of residence
|
Urban (Ν = 379)
|
35.8 (19.8)
|
|
36.3 (26.2)
|
37.1 (19.5)
|
|
Rural (Ν = 70)
|
45.1 (22.7)
|
|
43.5 (27.6)
|
30.8 (21.4)
|
|
p-value
|
<0.001
|
|
0.04
|
0.02
|
|
Unadjusted – Difference per quartile (95% CI); p-value
|
-8.7 (-13.7, -3.7); p=0.001
|
|
-6.3 (-13.1, -0.4); p=0.07
|
6.6 (1.5, 11.6);
p=0.01
|
|
Adjusted - Difference per quartile (95% CI); p-value
|
-7.6 (-12.6, 2.7); p=0.003
|
|
-6.4 (-13.1, 0.4); p=0.06
|
6.9 (0.3, 7.8);
p=0.007
|
|
Table 6 presents differences in mean ratings across quartiles of neighbourhoods objectively classified according to a series of census indicators. Differences are presented before and after adjusting for individual-level socio-demographic characteristics to control for the potential confounding effect of the differing profile of responders across these groups of neighbourhoods. The domain more consistently associated with all census indicators was the built environment, displaying a gradient of lower average scores across quartiles of neighbourhoods with increasing proportion of apartment blocks or mixed used buildings and a higher proportion of houses constructed pre-1980. Similarly, there was evidence of a social gradient in terms of specific population groups often associated with socio-economic disadvantage. Lower built environment scores were associated with increasing proportion of people aged 65 or over, single-parent households and non-Cypriot population in an area. The observed differences were not large in magnitude (i.e. commonly 10-12 points difference between lowest and highest quartile) but the pattern appeared consistent and, with the exception of older population, the associations persisted after adjusting for socio-demographic characteristics. Interestingly, both physical and service environment appeared to be positively associated with the proportion of apartment blocks/mixed used buildings; however, this may reflect the fact that, in Cypriot cities, walking paths, cycling routes, parks and other green areas tend to be located in more centrally-located areas which also have a much more active local economy compared to residential areas in the periphery. With regard to the social environment, other than higher ratings in rural vs urban areas, no associations were observed with any of the census indicators.