CAPITULO III – EL CONFLICTO Y LA CONCILIACIÓN EXTRAJUDICIAL
4.9 Generalidades de la conciliación en las distintas áreas del Derecho, desde el ámbito
4.9.5 Los sujetos procesales en la Conciliación
Country of origin
An overview of included studies by country of origin is provided inFigure 4. The greatest proportion of
work was reported by authors based in the USA (33 papers),27,30,32,34,36,39,41–43,45,46,50–53,55–57,60–62,69,71–73,75,77,83,84
followed by authors based in the Netherlands and in Australia/New Zealand. Three of the papers were
from the UK.33,74,76(SeeAppendix 3for the list of studies within each category.)
Sex
The literature contained 34 papers with either all female participants or a majority of female
participants28,30,31,34–36,40,41,46,48–53,55–59,61,62,69,72–75,77,83,84,87–90(Figure 5) (seeAppendix 3for a list of studies).
This contrasted with only two studies that recruited only males.27,85
0 5 10 15 20 25 30 35 40
RCT Cluster ran CBA BA Cross-sectional
Number of studies
Study design
FIGURE 3 Number of intervention studies of each design. CBA, controlled before and after.
USA The Netherlands Australia/New Zealand UK Japan Belgium Canada 0 5 10 15 20 25 30 35 Number of studies Country
Socioeconomic/educational status
We identified only one study that described participants as being of predominantly low SES29and one paper
that described participants from a minority ethnic population.75Sixteen papers described their studies as being
in predominantly more highly educated/higher income participants.30,32,34–36,41,46,50,52,53,61,62,65,69,73,77The majority of
studies were either unclear regarding education/SES or included diverse/mixed participants. SeeFigure 6for a
summary graph andAppendix 3for lists of studies within each category.
Physical activity level
Approximately half of the studies (34) recruited participants who were below recommended activity levels,
with the majority of these using higher activity level as an exclusion criterion.27–31,34–36,40,41,46,50,52,53,55–57,59–65,
70,71,73,75,77,86–90The other 29 papers32,33,37–39,42–45,47,48,51,54,58,66–69,72,74,76,78–85did not detail inactivity as being an inclusion criterion, and therefore in the absence of any other reporting it is assumed that these participants
were most likely to be of mixed activity levels. (SeeAppendix 3for detail of the studies within these categories.)
Age of participants
As outlined above, in the absence of literature specifically examining people at retirement transition, we took the decision to grade the applicability of other papers that reported interventions in older adults, with the average age of participants standing as a proxy for retirement age. We developed a four-point applicability rating system, in which A1 studies were those that referred to participants as immediately before or after retirement, A2 studies were those with an average participant age in the most common retirement transition
0 5 10 15 20 25 30 Number of studies SES characteristics
Higher education/incomeLower SES/basic education
Minority ethnicity
Not reported/unclear
Mixed
FIGURE 6 Number of studies reporting socioeconomic characteristics of participants.
0 5 10 15 20 25 30 35 40
Mostly female Mixed Mostly male Not reported
Number of studies
Sex of participants
age range of 55–69 years, and A3 studies were those that were less likely to be applicable to the retirement
transition period, having an average age of either 50–54 years (A3i) or 70–75 years (A3ii).
This rating system was based on the most common statutory retirement ages across OECD countries of
65 or 67 years. The band 55–69 years was, therefore, most likely to include those approaching retirement
(and those taking early retirement) together with those in the period immediately following retirement, and was of most relevance to our research question. The A3 papers, although potentially relevant, were considered to be of lower applicability. These papers were identified and examined to ascertain whether or
not there were any studies of particular significance to the review.Table 4presents the papers rated A1
and A2, categorised by age range. In this report, we intend to focus our synthesis on these A1/2 studies, as those most relevant to the retirement transition. However, we will provide an overview of the A3 studies and also consider any similarities and differences between the A1/A2 group and A3 studies.
TABLE 4 Details regarding age and/or age range provided in the included A1/2 papers
Average age Studies
55–59 years Caperchione and Mummery (2006)31(>50 years)
Castroet al.(2001)32(50–65 years)
Costanzo and Walker (2008)34
(50–65 years) Coxet al.(2008)35
(50–70 years) de Jonget al.(2006)37(55–65 years)
de Jonget al.(2007)38(55–65 years)
Elleyet al.(2003)40(40–79 years)
Finkelsteinet al.(2008)41
(50–85 years) Hagemanet al.(2005)46(50–69 years)
Kinget al.(2007)57(45–81 years)
Lawtonet al.(2008)59(mean 58.9 years, SD 7 years)
Martinsonet al.(2010),61
(2008)62
(50–70 years) Pereiraet al.(1998)69
(50–65 years) Prabuet al.(2012)72(average 57 years)
Sawchuket al.(2008)75(50–74)
Stevenset al.(1998)76(mean 59.1 years)
van Keulenet al.(2011)78
(mean 57.15 years, SD 7 years) Walkeret al.(2009),83(2010)84(50–69 years)
Werkmanet al.(2010)85(mean 59.5 years)
60–65 years Armitet al.(2005)28
(55–70 years) Burmanet al.(2013)29
(50 years and older) Burkeet al.(2013)30
(60–70 years)
TABLE 4 Details regarding age and/or age range provided in the included A1/2 papers (continued)
Average age Studies
Croteauet al.(2014)36(51–81 years)
Goldsteinet al.(1999)45(50 years and above)
Hamdorfet al.(1992),48(1993)49(mean 64.8 years)
Hekleret al.(2012)50(50 years or older)
Irvineet al.(2013)53(mean 60.3 years)
Kamadaet al.(2013)54(40–79 years)
Kinget al.(2007)57(55 years and over)
Peelset al.(2012),66(2012),67(2013)68(over 50 years)
Petrellaet al.(2010)70(55–85 years)
Strathet al.(2011)77(55–80 years)
van Stralenet al.(2009),79(2010),80(2011),81(2009)82
(average 64 years, SD 8.6 years) Wijsmanet al.(2013)86(60–70 years)
66–69 years Ackermanet al.(2005)27
(50 years and older) Dorgoet al.(2009)39 (60–82 years) Frieset al.(1993),42 (1993)43 (all retired) Fujitaet al.(2003)44 (60–81 years) Halbertet al.(2000)47
(60 years and over) Hookeret al.(2005)51 (48–90 years) Hugheset al.(2009)52 (50 years or older) Kinget al.(2002)55 (over 65 years) Koizumiet al.(2009)58 (mean 67 years) Marcuset al.(1997)60 (over 50 years) Opdenackeret al.(2011),63 (2008)64 (60–83 years) Pasalichet al.(2013)65 (60–70 years) Pintoet al.(2005)71 (mean 68.5 years) Purathet al.(2013)73 (60–80 years) Rowlandet al.(1994)74 (mean 66 years) Wilcoxet al.(2008)87
(mean 68.4 years, SD 9 years) Wilcoxet al.(2009),89
(2006)90
(50 years or older) Wilcoxet al.(2009)88
(50 years or over)
No average Coronini-Cronberget al.(2012)33(over 60 years)
Retirement/employment
As described above, only a minority of papers made reference to the employment/retirement status of the
older adults included in the studies. The 22 papers that provide this detail are listed inTable 5. As can be
seen, four of the interventions were carried out in populations in which all individuals were described as retired. Where percentages of those employed are provided, it is not clear if the other non-employed participants were unemployed or retired or working part time. The challenge in identifying the retirement
status of study populations in these papers was further highlighted by Hookeret al.51This study makes an
interesting distinction between those participants that are categorised as‘retired and working’and those
categorised as‘retired and not working’. A further point of interest relates to the only paper we identified
to describe the study population as recently retired. This paper85gives the mean age of study participants
as a seemingly young age of 59.5 years, which supports our decision to include those in their late fifties in our A2 applicability band.
TABLE 5 Studies including reference to retirement/employment in reported participant characteristics
Study Reported participant characteristics
Armitet al.(2005)28 81% retired
Burkeet al.(2013)30
40% working Costanzo and Walker (2008)34 1 (of 51) not employed
Coxet al.(2008)35 52–80% employed Croteauet al.(2014)36 16 (of 36) employed Finkelsteinet al.(2008)41 28% retired Frieset al.(1993),42(1993)43 All retired
Goldsteinet al.(1999)45
36% employed Hagemanet al.(2005)46 6.7% retired
Halbertet al.(2000)47
All retired
Hekleret al.(2012)50 56% employed
Hookeret al.(2005)51
49% retired, not working; 17.7% retired, working; 20.9% employed Kamadaet al.(2013)54
64% employed Kinget al.(2007)57
48.5% working full-time Martinsonet al.(2010),61(2008)62 77% employed
Opdenackeret al.(2008)64
All retired Pasalichet al.(2013)65 42% employed
Rowlandet al.(1994)74
All retired
Sawchuket al.(2008)75 27% employed
Stevenset al.(1998)76
55% economically active van Stralenet al.(2009)79 47% employed
Werkmanet al.(2010)85
Intervention typology
The papers reported a varied range of intervention approaches, and included one study that intervened
with health-care professionals in order to enhance the content of consultations,57one that evaluated a
community campaign54and a further study that analysed the effect of providing free bus passes to older
adults.33The remaining papers were divided into those that evaluated interventions provided to participants
within their home (content was delivered via the telephone, via e-mail/internet or via post) and those where participants either travelled to their local community health centre/surgery for advice/counselling, attended classes/workshops, or took part in organised walks/swimming sessions. For many of these away-from-home interventions, it was unclear where exactly the sessions were held.
The in-home interventions often included multiple elements such as advice, pedometer use, keeping an exercise diary, and/or information. A number of the papers examined different variants of interventions rather
than comparing with a control group. The Peelset al.66–68studies, for example, varied the delivery method
(via the internet vs. via mail), and the content (additional environmental information vs. none). Croteauet al.36
examined the addition of group sessions to a standard intervention, Sawchuket al.75evaluated the addition of
a pedometer to their programme and Strathet al.77included telephone calls for a subgroup of participants.
Outcomes measured
The included literature measured a wide range of outcomes, encompassing those that were self-reported via completion of questionnaires, in person, via telephone or via postal questionnaire. Outcomes that were measured by the research team included weight, body mass index (BMI) and fitness tests, together with
data downloaded from pedometers or accelerometers.Table 6outlines the physical activity measures that
were used within the set of papers. Of note are only two papers which measured inactivity in addition to
activity.29,55The first of these29collected data on reported sitting time (minutes per week), and the second55
used a questionnaire (Measure of Older Adults’Sedentary Time), with television viewing time considered to
be the primary outcome of interest. In addition to these measures relating to physical activity, many papers also included a raft of other measures such as strength, balance, flexibility or falls, which we have not included as not directly relating to activity levels.
TABLE 6 Outcome measures relating to physical activity reported in the included papers
Type of measure Specific outcomes assessed Objective measures Activity
Accelerometer
Pedometer (daily steps/aerobic minutes) Retention and participation in programmes Fitness
1-mile walk time 12-minute walk test 12-minute swim 1.6-km walk time Record of illness and injury
Health benefit company data on claims made Rockport Walking Fitness Test
Biophysical Blood pressure
TABLE 6 Outcome measures relating to physical activity reported in the included papers (continued)
Type of measure Specific outcomes assessed Body fat Cardiovascular risk Body composition BMI Weight Waist circumference Biotrainer data
Senior fitness tests of muscle strength, endurance and balance
Self-reported Activity
7-day activity recall questionnaire (or modified version)
Achievement of recommended minimum levels of moderate-intensity physical activity CHAMPS questionnaire used to calculate calorific expenditure
Compendium of Physical Activity Tracking Guide
Dutch Short Questionnaire to Assess Health-Enhancing Physical Activity Exercise history questionnaire
Exercise Habits Scale Health Habits questionnaire Human Activity Profile
International Physical Activity Questionnaire–Short Form Leisure Time Exercise Questionnaire
Maximum current activity
Measure of older adults’sedentary time Minutes of moderate to vigorous physical activity National Travel Survey
Older adults sedentary behaviour Physical Activity Scale for the Elderly Paffenbarger Sports and Exercise Index Reported level of regular physical activity Self-report daily log of activity
Sitting time (minutes per week) Time spent walking
TABLE 6 Outcome measures relating to physical activity reported in the included papers (continued)
Type of measure Specific outcomes assessed
Total weekly days and total weekly minutes of physical activity Travel diary
Fitness
Comparative fitness rating Perceived fitness score Psychosocial correlates Barriers to Self-Efficacy Scale Benefits and Barriers Scales Exercise Motivation Scale Exercise Self-Efficacy Scale
Family Support for Exercise Habits Scale Friend support
Physical activity group environment questionnaire Physical activity readiness questionnaire
Physical improvement programme perceptions
Physician-based assessment and counselling for exercise questionnaire Quality-of-life scales (SF-36)
Reported awareness, attitude, social influences, motivation, intention, commitment, perceived environment, strategic planning, action planning and coping planning Satisfaction with the intervention
Self-efficacy for Exercise Habits Scale Social Support and Exercise Survey Stage of change instrument Health correlates
Behavioural Risk Factors Surveillance system Center for Epidemiological Studies Depression Scale Normative Impairment Index
Nottingham Health Profile questionnaire Perceived Stress Scale
Satisfaction with body functioning
Self-reported physical performance, perceived functioning and well-being Vitality Plus Scale
Follow-up periods
Whereas 10 studies carried out outcome assessment immediately following the intervention,27,29,34,41,50,57,58,73,75,77
nine studies reported follow-up periods of>12 months30,32,43,59,61,63,64,69,78,85(Table 7).