On this page:

The epidemiology of suicide in Scotland 1989-2004: an examination of temporal trends and risk factors at national and local levels

« Previous | Contents | Next »

Listen

APPENDIX: TECHNICAL ASPECTS OF THE RESEARCH METHODS

A1. Implications of using two ICD systems for reliability of classification of deaths

During the selected time period two different ICD systems were in operation: ICD9 until 1999 and ICD10 from 2000. It is therefore important to consider the comparability (reliability) of coding between ICD9 and ICD10, in terms of both the gross distinction between suicide and undetermined deaths, and the specific cause within the suicide and undetermined categories. A bridge coding exercise, conducted in 2000, which examined the correspondence between ICD9 and ICD10 coding systems, found only minor discrepancies (Rooney and Smith, 2000) ; none is considered to be sufficiently serious as to invalidate the use of a combined dataset covering the period under review in this study.

A2. Derivation of pseudo Health Boards

There are 10,058 CATTs in Scotland. However, because CATTs do not necessarily fall completely within the boundaries of the 2001 Health Boards, the research team assigned each record to a pseudo Health Board using a point in polygon process within a geographical information system ( GIS) . The creation of pseudo health boards was necessary to ensure that data were reliable throughout the study period. Table A1 shows there was very little difference in the population distribution of the 'official' health boards and the pseudo health boards derived from CATTs (Exeter 2004) .

Table A1 Summary statistics for official health boards in 2001 and pseudo health boards derived from CATTs

Population

2001 health boards

2001 pseudo health boards

Minimum

19,245

19,245

Maximum

867,150

862,873

Mean

337,467

337,647

Std Deviation

263,775

263,289

Source: Exeter (2004)

A3. The Carstairs index of deprivation

The Carstairs index of deprivation was first developed following the 1981 census to identify the level of socioeconomic deprivation within postcode sectors in Scotland (Carstairs and Morris 1991) . The index comprises four dimensions (unemployment, overcrowding, lack of car ownership, and low social class) . Since 1981 there have been a number of changes to the questions asked in the Census. While these had little impact on the definition of variables used for the construction of the Carstairs index in 1991, there were significant alterations to the definition of the unemployment and low social class dimensions of the Carstairs index in 2001 (table A2) .

We downloaded the necessary census data from CASWEB21 for Census Output Areas 22, which were then aggregated to CATTs. In 1991, the Carstairs index ranged from -5.28 in the least deprived CATTs to 16.06 in the most deprived CATTs, while the 2001 index ranged from -5.94 to 17.47.

Table A2 The definitions of the four variables used to construct the Carstairs index of deprivation: 1991 and 2001 censuses

Variable

Definitions in 1991 and 2001

Unemployment

1991: Unemployed male residents aged 16 and over as a proportion of all economically active male residents aged 16 and over.

2001: Unemployed male residents aged 16-74 as a proportion of all economically active male residents aged 16-74.

Overcrowding

1991: Households with 1 and more persons per room as a proportion of all households.

2001: Households with 1 and more persons per room as a proportion of all households.

Non car ownership

1991: All people in households with no car as a proportion of all people in households.

2001: All people in households with no car as a proportion of all people in households.

Low social class

1991: Economically active head of household in social class IV or V as a proportion of all economically active people.

2001: Persons aged 16-74 in social class IV or V (estimated by using NS- SEC groups 11.2, 12.2, 12.4, 12.5, 12.7, 13.1, 13.2, 13.4 and 13.5) as a proportion of all persons aged 16-74.

Appendix A4. Suicide rates by social class

Before 2001, Registrar General's Social Class ( SC) was adopted by the government as the measure of socio-economic status in official surveys and censuses. Since the classification was based on occupation, people who were retired, in full time education, in the armed forces or looking after family were not classified. Since 2001, a new classification system, the National Statistics Socio-Economic Classification ( NS- SEC) , has been adopted (see table A3) . This replaces SC in all national surveys and the 2001 census.

The NS- SEC is also an occupationally based classification but has rules to provide coverage of the whole adult population. The information required to create the NS- SEC is occupation coded to the unit groups ( OUG) of the standard occupational classification 2000 ( SOC2000) and details of employment status (whether an employer, self-employed or employee; whether a supervisor; and number of employees at the workplace) .

"In order to improve population coverage, the NS- SEC treats those who are not currently in paid employment by allocating them via their last main paid job. Thus, for most non-employed persons (the unemployed, the retired, those looking after a home, those on government employment or training schemes, the sick and disabled etc) , the normal procedure is to classify them according to their last main job. The main exception to this rule is for full-time students and the long-term unemployed."

"Full-time students are recognised as a category in the full classification for reasons of completeness. Nevertheless, since many students will have or had paid occupations, they could be classified by current or last main job if the user wished to do so. Normally, however, we would not expect full-time students to be classified in this way. Conventionally, where full-time students are included in analyses ( e.g. in research on education) , they are normally allocated a position through their family household."

"Those who have 'never worked' but are seeking, or would like paid work, should be allocated to operational category L14.1. In the case of the 'long-term unemployed', there is an argument that they should not be classified according to their last job, but should be assigned to category L14.2 of the classification (on the grounds that they are excluded from employment relations) . Thus, they should be included with the 'never worked' when the NS- SEC is collapsed to an analytic variable."

< http://www.statistics.gov.uk/methods_quality/ns_sec/cat_desc_op_issue.asp >

The version of the classification which is used for most analyses (the analytic version) has eight classes, the first of which can be subdivided. The most detailed version has 17 types with further subdivisions, called operational categories (see below) .

Table A3 Analytic classes and operational categories and sub-categories of NS- SEC

Analytic Classes

Operational Categories and Sub-Categories

1.1

L1

Employers in large organisations

L2

Higher managerial occupations

1.2

L3

Higher professional occupations

L3.1

'Traditional' employees

L3.2

'New' employees

L3.3

'Traditional' self-employed

L3.4

'New' self-employed

2

L4

Lower professional and higher technical occupations

L4.1

'Traditional' employees

L4.2

'New' employees

L4.3

'Traditional' self-employed

L4.4

'New' self-employed

L5

Lower managerial occupations

L6

Higher supervisory occupations

3

L7

Intermediate occupations

L7.1

Intermediate clerical and administrative

L7.2

Intermediate sales and service

L7.3

Intermediate technical and auxiliary

L7.4

Intermediate engineering

Analytic Classes

Operational Categories and Sub-Categories

4

L8

Employers in small organisations

L8.1

Employers in small organisations (non-professional)

L8.2

Employers in small organisations (agriculture)

L9

Own account workers

L9.1

Own account workers (non-professional)

L9.2

Own account workers (agriculture)

5

L10

Lower supervisory occupations

L11

Lower technical occupations

L11.1

Lower technical craft

L11.2

Lower technical process operative

Analytic Classes

Operational Categories and Sub-Categories

6

L12

Semi-routine occupations

L12.1

Semi-routine sales

L12.2

Semi-routine service

L12.3

Semi-routine technical

L12.4

Semi-routine operative

L12.5

Semi-routine agricultural

L12.6

Semi-routine clerical

L12.7

Semi-routine childcare

7

L13

Routine occupations

L13.1

Routine sales and service

L13.2

Routine production

L13.3

Routine technical

L13.4

Routine operative

L13.5

Routine agricultural

8

L14

Never worked and long-term unemployed

L14.1

Never worked

L14.2

Long-term unemployed

*

L15

Full-time students

*

L16

Occupations not stated or inadequately described

*

L17

Not classifiable for other reasons

< http://www.statistics.gov.uk/methods_quality/ns_sec/analytic_operation_cat_subcat.asp#opcat >

The implementation of the new socio-economic classification results in some problems in analysis by social class in surveys/censuses relating to the year 2001. Fortunately the detailed operational categories of NS- SEC can be aggregated approximately to SC. According to the ONS, the approximation achieves a continuity level of 87 percent for SC.

For the first period (1989-1995) , counts of people by social class from the 1991 census were extracted. For the second period (1996-2002) , counts of people by NS- SEC from the 2001 census were extracted and converted into counts of people by SC using the lookup table provided by ONS.

Caution is required when comparing results using the 1991 and 2001 census data as population denominators. The table in the 1991 census was based on a 10 percent sample while the table in the 2001 census was based on a full 100 percent sample. In addition, the 1991 census table provides counts of persons aged 16 and over by social class. In contrast the 2001 census table provides counts of persons aged 16 to 74 years only by social class. For the second period analysis, persons over 74 who died by suicide were removed from the analysis (n=328) . The extent to which these differences in the calculation of denominators affect the reliability of inter-censal comparisons is unknown.

« Previous | Contents | Next »

Page updated: Thursday, March 1, 2007