rolul implicarii si apropierii parintilor in copilarie
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EIRINI FLOURI
SUBJECTIVE WELL-BEING IN MIDLIFE:
THE ROLE OF INVOLVEMENT OF ANDCLOSENESS TO PARENTS IN CHILDHOOD
(Received 25 June 2003; Accepted 5 December 2003)
ABSTRACT. This study used data from the British National Child Development
Study to examine therole of parentingin later subjective well-being (SWB).Parenting
was defined as mother involvement and father involvement (measured at age 7) and as
closeness to mother and closeness to father (measured at age 16). SWB was measured
at age 42 and was defined as life satisfaction, psychological functioning (measured
with the GHQ-12), and absence of psychological distress (measured with the Malaise
Inventory). Control factors were parental social class at birth, parental family struc-
ture throughout childhood, domestic tension in the parental home, parental ill mentalhealth in early childhood, psychological maladjustment in adolescence, financial
difficulties throughout childhood, educational attainment, self-rated health in early
adulthood, and current socio-demographic correlates of SWB (labour force partici-
pation, religion and being partnered). It was found that even after adjusting for these
factors closeness to mother at age 16 predicted life satisfaction at age 42 in both
men and women, whereas mother involvement at age 7 predicted life satisfaction at
age 42 in men. Closeness to mother at age 16 was also negatively related to poor
psychological functioning at age 42 in women.
KEY WORDS: parenting, subjective well-being.
INTRODUCTION
Subjective well-being (SWB) is a person’s evaluation of his or her
life. This evaluation can be in terms of cognitive states such as satis-
faction with one’s life, and in terms of ongoing affect (i.e. presence
of positive and absence of negative affect) (Diener et al., 1998).
Progress in the field of the antecedents of SWB is considerable since
the 1970s when psychologists first started to explore what makes
people happy (DeNeve, 1999). It is now suggested that SWB has
both trait-like (Lykken and Tellegen, 1996) and state-like proper-
ties (Veenhoven, 1994). However, SWB researchers have only rarelyexplored the causal status of its predictors (Diener et al., 1999).
Parenting, and in particular parental involvement and closeness to
parents have been investigated as predictors of both later demographic
outcomes (Flouri and Buchanan, 2002a) and later psychological out-
comes (Flouri and Buchanan, 2002b) which are likely to determine
SWB (Ryan and Deci, 2001), and in fact aspects of SWB such as
Journal of Happiness Studies 5: 335–358, 2004.
© 2004 Kluwer Academic Publishers. Printed in the Netherlands.
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336 EIRINI FLOURI
psychological distress and negative affect (Maccoby, 2000), but very
little research has been carried out to explore long-term links betweenparenting and all three aspects of SWB (life satisfaction, positive
affect, and negative affect). Previous research has pointed to useful
directions, however (Amato, 1994). For example, positive relations
influence health outcomes via changes in cardiovascular, endocrine,
and autoimmune systems (Uchino et al., 1999) and so positive parent–
child relations are likelyto affect a strong determinantof SWB, physical
health (Ryff et al., 2001). Parenting has also been linked with several
socio-demographic determinants of SWB, such as labour force partic-
ipation (Flouri and Buchanan, 2002a), religiosity (Franz et al., 1991),
and marriage (Mahoney et al., 2001).There are several reasons why one should expect early parenting
to affect later SWB. According to attachment theory, children raised
in rejecting or authoritarian environments learn to expect rejection and
hostility, and develop avoidant attachments, which in turn directly influ-
ence subsequent intimate relationships (Belt and Abidin, 1996), which
affect SWB(Ryan andDeci,2001).Further,parentalnegativity hasvery
strong connections with offspring depression and internalizing behav-
ior (Angoff, 1988; Maccoby, 2000), and therefore one might expect
that low parental involvement should be positively related to negative
affect and negatively related to positive affect. On the other hand, social
control and social capital hypotheses (Coleman, 1988) argue that both‘adequate’ parenting and children’s mental health are associated with
parents who are more effective in developing their children’s human
capital, although this might also be due to the transmission of genetic
endowments (Haveman and Wolfe, 1995). Finally, parenting affects
children’s mental health indirectly, as parents who are ‘involved’ and
parents who are close to their children tend to financially support their
children and so parenting can affect child outcomes by influencing the
economic structure of the household (Buchanan et al., 2000). Using
longitudinal data from the National Child Development Study (NCDS)
which traces all 17000 children born between 3 and 9 March 1958 in
Britain, this study aimed to explore the role of parental involvementand closeness to parents in childhood in SWB in adult life after control-
ling for known confounding factors. In accordance to Bronfenbrenner’s
(1979) paradigm, these confounding variables reflected factors from
different ‘ecological’ domains, such as individual factors and factors
relating to the family.
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THE ROLE OF PARENTING IN SUBJECTIVE WELL-BEING 337
SWB and Individual Factors
Early research on what determines SWB has focused on identifying itsdemographic and environmental correlates (Argyle, 1999), but because
SWB is strongly correlated with personality traits more recent psycho-
logical research has focused on exploring the role of trait or non-trait
features of personality in SWB (Diener et al., 2003). In her review of
the role of personality in SWB DeNeve (1999), for example, showed
that self-reported health is one of the strongest positive correlates of
SWB. Of the demographic variables religion, marriage and work have
been shown to provide both psychological and social benefits that are
related to SWB. Religion provides a sense of meaning in life and offers
a collective identity and social networks, whereas marriage generateswell-being through its role as a buffer in difficult times, and through the
emotional and economic support it provides. Work is also positively
related to SWB as it provides an optimal level of stimulation, positive
social relationships and a sense of identity (Diener et al., 1999). The
relationship of income to SWB has attracted a considerable amount
of research but contrary to popular belief income enhances SWB only
to the point that it allows an individual to meet basic survival needs
and avoid socio-economic disadvantage (DeNeve, 1999). Educational
attainment is also usually protective against adverse outcomes in high-
risk individuals (Compas, 1995; Resnick et al., 1998) mainly because
it is associated with stable career lines, and interesting and well-paidemployment (Pulkkinen et al., 2002), although it has also been argued
that because education raises aspirations it may interfere with psy-
chological well-being if it leads to expectations that cannot be met,
especially in rich nations (Hartog and Oosterbeek, 1998). Finally, psy-
chological maladjustment in childhood is negatively related to later
SWB (Farrington, 1995; Kovacs and Devlin, 1998).
SWB and Family-Related Factors
With respect to family-related influences, it has been shown that
children experiencing family disruption carry a heightened risk of
short-term and long-term psychological disorders (Wallerstein, 1991)although not consistently (Buchanan et al., 2000), and that family con-
flict impacts on children’s mental health (Buchanan et al., 2000). There
is also considerable evidence that maternal depression is a major risk
factor for child maladjustment (Weissman and Jensen, 2002) and some
evidence that paternal depression is linked to child maladjustment
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338 EIRINI FLOURI
(Downey and Coyne, 1990; Foley et al., 2001). Finally, social cau-
sation has explained mental health differences through the experienceof adversity and stressors in low status, and conversely, with more
favourable conditions experienced in higher social groups (Power and
Matthews, 1997). Recently, Schoon et al. (2002) showed that per-
sisting and accumulating experiences of socio-economic disadvantage
throughout childhood and adolescence was one of the most impor-
tant risk factor of poor adult attainments. Power et al. (2002) who
also looked at mental health outcomes of the NCDS cohort showed
that women were particularly vulnerable to socio-economic adver-
sity in childhood, and that the association between social origins and
destinations was stronger among women.
METHOD
The National Child Development Study
This study used data from sweeps of the NCDS. NCDS is a contin-
uing longitudinal study of some 17000 children born between 3 and
9 March 1958 in England, Scotland and Wales. The aim of the study
was to improve understanding of the factors affecting human develop-
ment over the whole lifespan. To date, six follow-ups have been made.
These were carried out in 1965 (when the cohort members were aged7 years), in 1969 (aged 11), in 1974 (aged 16), in 1981 (aged 23), in
1991 (aged 33), and in 2000 (aged 42). In addition, records of exam-
ination attainments at school-leaving were obtained from schools and
education authorities in 1978, when the cohort members were aged 20.
Over the years there was attrition from lost contact, refusals,
emigration and death, but response rates are respectable, even by
cross-sectional standards. By age 33, 11407 cohort members were
interviewed, a 73% response rate out of those still living in Britain
who had not permanently refused. By the latest sweep at age 42 in
2000, the number of cohort members targeted was 15147, a tribute
to investment in tracing and persistence in fieldwork. The contact rate
was 84.9%, and the response rate 75.4% (88.9% of those contacted). At
age 42 information was collected for 11419 cohort members. However,
a major problem with NCDS is the possibility of bias in the responding
sample. Analysis of non-response bias has indicated that there were
particularly high losses of participants in some more disadvantaged
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THE ROLE OF PARENTING IN SUBJECTIVE WELL-BEING 339
groups. Parental social class was used to assess if the cohort mem-
bers interviewed at age 42 were representative of the original birthcohort. The proportion in social class V – the most disadvantaged –
was reduced from 9.8% to 8.0% in NCDS (Montgomery et al., 2002).
This is consistent with previous reports indicating that on the whole
the cohort members interviewed in the adulthood sweeps of NCDS are
broadly representative of their birth cohort (Shepherd, 1993).
MEASURES
Subjective Well-Being (Age 42)
SWB at age 42 was assessed with three measures: poor psychologicalfunctioning, psychological distress, and life satisfaction. Poor psy-
chological functioning was measured with the 12-item version of the
General Health Questionnaire (GHQ)(Goldberg, 1978; Goldberg and
Williams, 1988). The GHQ was designed to focus on breaks in nor-
mal function. Sample items include: ‘Have you recently been feeling
unhappy and depressed’,and‘Have yourecently felt understrain’. Most
studies that have used the GHQ report female rates in excess of male
rates, not very strong social class effects, increased rates for divorced
and separated women although not for men, and higher rates for the
unemployed (Goldberg and Williams, 1988). Cronbach’s alpha for theNCDS cohort at Sweep 6 was 0.84. Psychological distress was mea-
sured with the Malaise Inventory (Rutter et al., 1970), a 24-item list of
symptoms from the Cornell Medical Index. The 24 Malaise symptoms
are positive responses to items such as ‘feels miserable and depressed’,
‘gets annoyed by people’, and ‘has had a nervous breakdown’. Cron-
bach’s alpha was 0.82 for the 6th NCDS sweep. Life satisfaction was
measured with two items (each anchored in an 11-point scale, ranging
from 0 to 10): ‘How has life turned out so far’, and ‘Where do you
expect to be in 10 years’. Cronbach’s alpha was 0.79 for the whole 6th
NCDS sweep.
Family-Related Factors (Ages 0–16)
These included factors relating to family environment (both psycholog-
ical and socio-economic) and factors relating to parenting. The psycho-
logical environment of the family was tapped by domestic tension and
parental ill mental health (both 1-item dichotomous assessments of the
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340 EIRINI FLOURI
Health Visitor when cohort members were aged 7). The socio-economic
environment was tapped by three variables: family structure (assessedas ‘continuously intact’ from age 7 until age 16 or ‘otherwise’), parental
socio-economic status at birth, and socio-economic disadvantage in
childhood. Parental socio-economic group at birth was ‘manual’ if
both father’s and mother’s socio-economic group was manual, and was
‘non-manual’ if both father’s and mother’s socio-economic group was
non-manual. Father’s socio-economic group was usedto assess family’s
socio-economic group in cases where father’s and mother’s groups were
different. Mother’s socio-economic group was used to assess family’s
socio-economic group if father’s socio-economic group was missing.
Socio-economic disadvantage in childhood was assessed using a com-posite measure (of the Health Visitor’s report at age 7 and receipt of
free school meals at age 11 and 16) as follows: If neither the Health Vis-
itor reported the family to be in financial difficulties when the cohort
member was aged 7 nor anyone in the family received free school
meals when the cohort member was aged 11 or 16, then there was no
evidence of socio-economic disadvantage in the family as the cohort
member was growing up. If either the Health Visitor reported the fam-
ily to be in financial difficulties when the cohort member was aged 7
or anyone in the family received free school meals when the cohort
member was aged 11 or 16, then there was evidence of socio-economic
disadvantage in the family as the cohort member was growing up.Parenting was assessed as closeness to father and closeness to mother
at age 16, and as father involvement and mother involvement at age 7.
In NCDS, children’s self-reported closeness to their mother and father
were two 5-point scales anchored with ‘very true and ‘very untrue’,
whereas father and mother involvement were assessed by both the
child’s parent and the child’s teacher. Four 3-point scales pertained to
father involvement and three 3-point scales pertainedto mother involve-
ment. The items on father involvement were ‘outings with father’,
‘father manages the child’, ‘father reads to child’ and ‘father is inter-
ested in child’s education’. The items on mother involvement were
‘outings with mother’, ‘mother reads to child’ and ‘mother is inter-ested in child’s education’. All but mother’s and father’s interest in
child’s education, which were assessed by the child’s teacher, were
parental (mostly maternal) reports. A small percentage of mother’s and
father’s were rated as ‘over-concerned’ about their child’s education at
age 7 and were combined with those parents rated as ‘very interested’.
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THE ROLE OF PARENTING IN SUBJECTIVE WELL-BEING 341
Because of the very small occurrence of low involvement responses in
both mother’s and father’s, the low/middle involvement responses werecombined, and two scales measuring father involvement and mother
involvement were computed from the sum of the four and the three
dichotomous items, respectively. Thus, the father involvement scale
ranged from 0 to 4 and the mother involvement scale from 0 to 3.
Individual Factors (Ages 16–42)
These included both early and contemporaneous factors. The early
factors were psychological maladjustment at age 16, educational attain-
ment by age 20, and self-reported physical health at age 23. The
contemporaneous (age 42) factors were employment status, partnerstatus, and religion. Psychological maladjustment in childhood was
assessed with the Rutter ‘A’ Health and Behaviour Checklist (Rutter
et al., 1970), which has been widely used to measure emotional and
behavioural well-being both in the United Kingdom and elsewhere.
At age 16 the full scale (31 items) was completed by the parent or
primary caregiver. Items were measured in 3-point scales where 0
denotes the absence of a problem and 2 very serious problem. Sam-
ple items include: the child has headaches, sleep problems, worries,
fidgety, destroys things, fights, and is unsettled. Cronbach’s alpha was
0.73. Educational attainment in this study was operationalised as in
Maughan et al. (1998): When cohort members were aged 20 resultsin all public examinations taken up to the time each cohort member
left school were collected from school and educational authorities.
Passes in each type and level of examination were combined to form
a 4-item scale of the highest qualification achieved which was as fol-
lows: (0) none, (1) <O-level equivalent grades, (2) one or more O-level
equivalent grades, (3) one or more A-level equivalent grades. Self-
reported physical health at age 23 (measured in a 4-point scale ranging
from (1) ‘excellent’ to (4) ‘poor’). Current (age 42) employment status
was assessed as ‘employed’ if the cohort member was full- or part-
time employed or self-employed, ‘unemployed’ if the cohort member
described themselves as unemployed/seeking work, and ‘outside thelabour force’ if the cohort member was retired, temporarily or perma-
nently sick/disabled, a student or in a government training scheme, and
looking after home/family. Current partner status was assessed by ask-
ing cohort members to state if they are partnered or not, and current
religion was assessed by asking cohort members to state if they belong
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342 EIRINI FLOURI
TABLE I
The characteristics of the participants (N = 4371)
Variables N % of Mean SD
validcases
Poor psychological functioning, age 42 (12–45) 22.88 4.59
Psychological distress, age 42 (0–23) 3.36 3.38
Life satisfaction, age 42 (0–20) 15.48 3.15Father involvement, age 7 (0–4) 2.21 1.19
Mother involvement, age 7 (0–3) 1.92 0.90
Closeness to father, age 16 (1–5) 4.10 0.91
Closeness to mother, age 16 (1–5) 4.24 0.80
Female gender, birth 2168 49.6
Non-manual socio-economic group of parents (SEG), birth
3437 81.5
No mental illness in the family, age 7 3996 97.6
Domestic tension, age 7 130 3.4
Parental family throughout childhood
(7–16 years) is not intact
230 6.9
Financial difficulties in the family in
childhood (7–16 years)
473 15.1
Psychological maladjustment, age 16 (0–35) 5.01 4 .12
Educational qualifications by age 20 (0–3) 1.74 0.93
Poor self-rated physical health, age 23 (1–4) 1.62 0.64
Unemployed, age 42 84 1.9
Outside the labour force, age 42 499 11.4
Belongs to religion, age 42 3642 83.4Partnered, age 42 3529 81.1
to a religion or not. Because the aim of this study was to assess the role
of parental involvement and closeness to parents in SWB in adult life
only those cohort members with valid data in all these seven factors
(N = 4371) took part in the study. This was the initial sample size.
Table I describes the participants.
Statistical Analysis
Relationships between continuous variables were analysed by using
Pearson’s r correlations. Differences between group means were anal-
ysed by ANOVAs. All tests were two-tailed and an alpha level of
p < 0.05 was used. For the multivariate analyses the variables were
entered in subsequent hierarchical multiple linear regression analysesto
predict SWB at age 42. The results of multicollinearity checks showed
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THE ROLE OF PARENTING IN SUBJECTIVE WELL-BEING 343
that the variance inflation factor (VIF) values for all variables were
well below the common cutoff threshold of 10, which suggests thatmulticollinearity did not unduly influence the least squares estimates
(Hair et al., 1995). In this study, the VIF values were between 1.036
and 1.660 in men’s final regression models (Models 2 of Table IV), and
between 1.019 and 1.625 in women’s final regression models (Models 2
of Table V).
RESULTS
Compared to men, women reported both higher levels of psychologi-
cal distress and poor psychological functioning (F (1, 4369) = 68.703,p < 0.001 and F (1, 4369) = 29.333, p < 0.001, respectively), and
higher levels of life satisfaction (F (1, 4369) = 28.426, p < 0.001).
There were no gender differences, however, in father involvement
(F (1, 4369) = 1.419, p > 0.05), mother involvement (F (1, 4369) =
0.792, p > 0.05), or closeness to mother (F (1, 4369) = 0.025, p >
0.05), although compared to girls boys in adolescence felt closer to their
father (F (1, 4369) = 6.912, p < 0.01). Table II shows the raw corre-
lations between the continuous measures used in the study separately
by gender. As can be seen in Table II for both men and women mother
involvement and father involvement were interrelated as were closeness
to father and closeness to mother. Psychological distress and psycholog-ical functioning were moderately correlated, and life satisfaction was
modestly related to poor psychological functioning and psychological
distress. Educational attainment was negatively related to poor psy-
chological functioning only in women. Life satisfaction was associated
with father involvement in women and with mother involvement in men.
In both men and women, mother involvement and father involvement
were unrelated to poor psychological functioning but were negatively
related to psychological distress, whereas closeness to father and close-
ness to mother were negatively related to poor psychological function-
ing and psychological distress,and positively related to life satisfaction.
Table III shows the results from the hierarchical multiple linear
regression analyses (with listwise omission of missing data) carried
out to predict SWB at age 42 in the whole sample, and Tables IV and
V show the results separately for men and women. As can be seen in
Table III, compared to men, women reported both higher levels of poor
psychological functioning and psychological distress, and higher levels
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344
T A B L E I I
R a w c o r r e l a t i o n s ( P e
a r s o n ’ s r ) b e t w e e n t h e c o n t i n u o u s m e
a s u r e s u s e d i n t h e s t u d y
1 . P o o r
p s y c h o l o g i c a l
f u n c t i o n i n g ,
4 2
2 . P s y c h o l o g i c a l
d i s t r e s s ,
4 2
3 . L i f e
s a t i s f a c t i o n ,
4 2
4 . F a t h e r
i n v o l v e m e n t ,
7
5 . M o t h e r
i n v o l v e m e n t ,
7
6 . C l o s e n e s s
t o f a t h e r ,
1 6
7 . C l o s e
n e s s
t o m o t h e r ,
1 6
8 . P s y c h o l o g i c a l
m a l a d j u s t m e n t ,
1 6
9 . E d u c a t i o n a l
q u a l i fi c a t i o n s ,
2 0
1 0 . P o o r
p h y s i c a l
h e a l t h ,
2 3
M e n ( N =
2 2 0 3 )
1
—
2
0 . 5 6 7 ∗ ∗ ∗
—
3
− 0 . 3 4 6 ∗ ∗ ∗
− 0 . 3 4 5 ∗ ∗ ∗
—
4
− 0 . 0 2 2
− 0 . 0 5 5 ∗
0 . 0 3 3
—
5
− 0 . 0 1 8
− 0 . 0 5 7 ∗ ∗
0 . 0 6 0 ∗ ∗
0 . 6 1 1 ∗ ∗ ∗
—
6
− 0 . 0 7 3 ∗ ∗ ∗
− 0 . 0 9 1 ∗ ∗ ∗
0 . 0 7 6 ∗ ∗ ∗
0 . 0 9 0 ∗ ∗ ∗
0 . 0 6 6 ∗ ∗
—
7
− 0 . 0 7 1 ∗ ∗ ∗
− 0 . 0 6 2 ∗ ∗
0 . 0 8 4 ∗ ∗ ∗
0 . 0 4 6 ∗
0 . 0 5 1 ∗
0 . 4 9 7 ∗ ∗ ∗
—
8
0 . 0 8 3 ∗ ∗ ∗
0 . 2 0 0 ∗ ∗ ∗
− 0 . 1 2 4 ∗ ∗ ∗
− 0 . 1 3 0 ∗ ∗ ∗
− 0 . 1 0 0 ∗ ∗ ∗
− 0 . 1 1 8 ∗ ∗ ∗
− 0 . 1 1 6 ∗ ∗ ∗
—
9
0 . 0 3 5
− 0 . 1 0 8 ∗ ∗ ∗
0 . 0 6 8 ∗ ∗
0 . 3 0 0 ∗ ∗ ∗
0 . 3 5 9 ∗ ∗
0 . 0 7 1 ∗ ∗ ∗
0 . 0 4 8 ∗
− 0 . 2 0 5 ∗ ∗ ∗
—
1 0
0 . 0 9 7 ∗ ∗ ∗
0 . 1 4 4 ∗ ∗ ∗
− 0 . 1 5 5 ∗ ∗ ∗
− 0 . 0 5 8 ∗
− 0 . 1 0 0 ∗ ∗ ∗
− 0 . 1 2 3 ∗ ∗ ∗
− 0 . 0 9 0 ∗ ∗ ∗
0 . 1 0 1 ∗ ∗ ∗
− 0 . 1 1 1 ∗ ∗ ∗
—
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345
W o m e n ( N =
2 1 6 8 )
1 .
—
2 .
0 . 5 6 0 ∗ ∗ ∗
—
3 .
− 0 . 3 7 4 ∗ ∗ ∗
− 0 . 3 5 6 ∗ ∗ ∗
—
4 .
− 0 . 0 3 8
− 0 . 0 8 6 ∗ ∗ ∗
0 . 0 5 5 ∗
—
5 .
− 0 . 0 2 3
− 0 . 0 9 9 ∗ ∗ ∗
0 . 0 3 9
0 . 6 1 0 ∗ ∗ ∗
—
6 .
− 0 . 0 8 2 ∗ ∗ ∗
− 0 . 1 1 2 ∗ ∗ ∗
0 . 0 8 8 ∗ ∗ ∗
0 . 1 2 9 ∗ ∗ ∗
0 . 0 6 8 ∗ ∗
—
7 .
− 0 . 1 1 9 ∗ ∗ ∗
− 0 . 1 1 4 ∗ ∗ ∗
0 . 1 3 6 ∗ ∗ ∗
0 . 0 5 0 ∗
0 . 0 5 9 ∗ ∗
0 . 4 1 0 ∗ ∗ ∗
—
8 .
0 . 1 4 3 ∗ ∗ ∗
0 . 2 2 1 ∗ ∗ ∗
− 0 . 0 9 0 ∗ ∗ ∗
− 0 . 0 9 9 ∗
∗ ∗
− 0 . 1 1 4 ∗ ∗ ∗
− 0 . 1 2 3 ∗ ∗ ∗
−
0 . 1 1 1 ∗ ∗ ∗
—
9 .
− 0 . 0 5 2 ∗
− 0 . 2 3 6 ∗ ∗ ∗
0 . 0 7 5 ∗ ∗ ∗
0 . 2 7 9 ∗ ∗ ∗
0 . 3 4 7 ∗ ∗ ∗
0 . 0 7 5 ∗ ∗ ∗
0 . 0 4 8 ∗
− 0 . 2 6 7 ∗ ∗ ∗
—
1 0 .
0 . 1 2 7 ∗ ∗ ∗
0 . 2 1 2 ∗ ∗ ∗
− 0 . 1 6 9 ∗ ∗ ∗
− 0 . 0 5 6 ∗
− 0 . 0 6 1 ∗ ∗
− 0 . 0 6 4 ∗ ∗
−
0 . 0 6 8 ∗ ∗
0 . 0 8 5 ∗ ∗ ∗
− 0 . 1 4 4 ∗ ∗ ∗
—
∗ p <
0 . 0 5 ; ∗ ∗ p <
0 . 0 1 ; ∗ ∗ ∗ p
<
0 . 0 0 1 .
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346
T A B L E I I I
R e g r e s s i o n c o e f fi c i e n t s ( b )
w i t h s t a n d a r d e r r o r s ( S E b ) a n d t - s t a t i s t i c s ( t )
p r e d i c t i n g i n d i c a t o r s o f s u b j e c t i v e w e l l - b e i n g a t a g e 4 2 i n t h e w h o l e s a m p l e ( N =
2 1 8 9 )
P o o r
p s y c h o l o g i c a l f u n c t i o n i n g
P s y c h o l o g i c a l d i s t r e s s
L i f e s a t i s f a c t i o n
P r e d i c t o r s
M o d e l 1
M o d e l 2
M o d e l 1
M o d e l 2
M o d e l 1
M o d e l 2
C o n t r o l f a c t o r s
b ( S E b )
t
b ( S E b )
t
b ( S E b )
t
b ( S E b )
t
b ( S E b )
t
b ( S E b )
t
C o n s t a n t
2 3
. 5 1 2
( 2
. 1 9 1 )
1 0 . 7 3 3 ∗ ∗ ∗
2 5 . 3 7 1
( 2 . 2 9 1 )
1 1 . 0 7 2 ∗ ∗ ∗
4 . 5 7 1
( 1 . 5 4 4 )
2 . 9 6 1 ∗ ∗
5 . 8 5 7
( 1 . 6 1 6 )
3 . 6 2 3 ∗ ∗ ∗
1 6 . 5 4 2
( 1 . 4 2 2 )
1 1 . 6 3 5 ∗ ∗ ∗
1 4 . 3 7 0
( 1 . 4 8 0 )
9 . 7 0 7 ∗ ∗ ∗
F e m a l e g e n d e r
0
. 2 7 7
( 0
. 0 9 8 )
2 . 8 3 5 ∗ ∗
0 . 2 7 4
( 0 . 0 9 8 )
2 . 8 1 0 ∗ ∗
0 . 2 8 3
( 0 . 0 6 9 )
4 . 1 0 9 ∗ ∗ ∗
0 . 2 7 9
( 0 . 0 6 9 )
4 . 0 4 4 ∗ ∗ ∗
0 . 3 5 5
( 0 . 0 6 3 )
5 . 5 9 3 ∗ ∗ ∗
0 . 3 5 4
( 0 . 0 6 3 )
5 . 6 1 6 ∗ ∗ ∗
N o n - m a n u a l S E G o f
p a r e n t s , b i r t h
− 0
. 1 1 8
( 0
. 1 3 3 )
0 . 8 9 2
− 0 . 1 0 6
( 0 . 1 3 3 )
0 . 7 9 7
− 0 . 1 5 7
( 0 . 0 9 3 )
1 . 6 8 1
− 0 . 1 4 9
( 0 . 0 9 4 )
1 . 5 9 4
− 0 . 1 5 8
( 0 . 0 8 6 )
1 . 8 4 0 +
− 0 . 1 8 0
( 0 . 0 8 6 )
2 . 1 0 2 ∗
N o m e n t a l i l l n e s s i n
t h e f a m i l y , a g e 7
− 0
. 1 8 1
( 0
. 7 0 0 )
0 . 2 5 8
− 0 . 1 9 9
( 0 . 7 0 1 )
0 . 2 8 5
− 0 . 4 4 3
( 0 . 4 9 3 )
0 . 8 9 9
− 0 . 4 8 9
( 0 . 4 9 5 )
0 . 9 8 9
− 0 . 2 3 6
( 0 . 4 5 4 )
0 . 5 1 9
− 0 . 2 0 7
( 0 . 4 5 3 )
0 . 4 5 7
D o m e s t i c t e n s i o n ,
a g e 7
0
. 1 5 1
( 0
. 3 1 6 )
0 . 4 7 9
0 . 1 3 4
( 0 . 3 1 6 )
0 . 4 2 4
0 . 1 0 5
( 0 . 2 2 2 )
0 . 4 7 1
− 0 . 0 9 3
( 0 . 2 2 3 )
0 . 4 1 8
− 0 . 3 3 7
( 0 . 2 0 5 )
1 . 6 4 7
− 0 . 3 0 7
( 0 . 2 0 4 )
1 . 5 0 2
P a r e n t a l f a m i l y i s
n o t i n t a c t
( a g e 7 – 1 6 )
− 0
. 0 3 0
( 0
. 3 9 8 )
0 . 0 7 5
− 0 4 8
( 0 . 3 9 7 )
0 . 1 2 1
− 0 . 1 3 3
( 0 . 2 8 0 )
0 . 4 7 3
− 0 . 1 5 3 0
( 0 . 2 8 0 )
0 . 5 4 7
− 0 . 1 2 5
( 0 . 2 5 8 )
0 . 4 8 5
− 0 . 1 0 5
( 0 . 2 5 7 )
0 . 4 1 0
F i n a n c i a l d i f fi c u l t i e s
i n t h e p a r e n t a l
f a m i l y ( a g e 7 – 1 6 )
− 0
. 1 4 6
( 0
. 1 6 1 )
0 . 9 0 6
− 0 . 1 3 7
( 0 . 1 6 2 )
0 . 8 4 3
− 0 . 0 8 8
( 0 . 1 1 3 )
0 . 7 8 0
− 0 . 0 8 6
( 0 . 1 1 4 )
0 . 7 4 8
− 0 . 0 9 7
( 0 . 1 0 4 )
0 . 9 2 8
− 0 . 0 8 8
( 0 . 1 0 5 )
0 . 8 4 0
P s y c h o l o g i c a l
m a l a d j u s t m e n t ,
a g e 1 6
0
. 1 0 7
( 0
. 0 2 5 )
4 . 2 3 7 ∗ ∗ ∗
0 . 0 9 7
( 0 . 0 2 5 )
3 . 8 3 7 ∗ ∗ ∗
0 . 1 3 9
( 0 . 0 1 8 )
7 . 8 2 8 ∗ ∗ ∗
0 . 1 3 3
( 0 . 0 1 8 )
7 . 4 3 6 ∗ ∗ ∗
− 0 . 0 3 7
( 0 . 0 1 6 )
2 . 2 7 1 ∗
− 0 . 0 2 8
( 0 . 0 1 6 )
1 . 7 0 5 +
E d u c a t i o n a l
q u a l i fi c a t i o n s b y
a g e 2 0
0
. 1 3 0
( 0
. 1 1 4 )
1 . 1 4 1
0 . 1 4 7
( 0 . 1 1 8 )
1 . 2 4 8
− 0 . 3 1 6
( 0 . 0 8 0 )
3 . 9 3 8 ∗ ∗ ∗
− 0 . 3 1 3
( 0 . 0 8 3 )
3 . 7 5 6 ∗ ∗ ∗
− 0 . 0 3 8
( 0 . 0 7 4 )
0 . 5 1 5
− 0 . 0 8 0
( 0 . 0 7 6 )
1 . 0 4 4
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S e l f - r a t e d p o o r
p h y s i c a l h e a l t h ,
a g e 2 3
0 . 6 4 3
(
0 . 1 5 6 )
4 . 1 3 3 ∗ ∗ ∗
0 . 6 0 2
( 0 . 1 5 6 )
3 . 8 5 2 ∗ ∗ ∗
0 . 7 1 7
( 0 . 1 1 0 )
6 . 5 3 6 ∗ ∗ ∗
0 . 6 8 6
( 0 . 1 1 0 )
6 . 2 2
3 ∗ ∗ ∗
− 0 . 6 8 3
( 0 . 1 0 1 )
6 . 7 6 0 ∗ ∗ ∗
− 0 . 6 3 3
( 0 . 1 0 1 )
6 . 2 6 4 ∗ ∗ ∗
U n e m p l o y e d , a g e 4 2
0 . 4 4 8
(
0 . 3 8 5 )
1 . 1 6 4
0 . 4 4 0
( 0 . 3 8 4 )
1 . 1 4 5
0 . 0 8 1
( 0 . 2 7 1 )
0 . 2 9 8
− 0 . 0 7 4
( 0 . 2 7 1 )
0 . 2 7
2
− 0 . 0 3 8
( 0 . 2 5 0 )
0 . 1 5 2
− 0 . 0 3 5
( 0 . 2 4 8 )
0 . 1 4 1
O u t s i d e t h e l a b o u r
f o r c e , a g e 4 2
1 . 0 2 0
(
0 . 1 6 6 )
6 . 1 3 6 ∗ ∗ ∗
1 . 0 3 6
( 0 . 1 6 6 )
6 . 2 4 0 ∗ ∗ ∗
0 . 8 3 6
( 0 . 1 1 7 )
7 . 1 3 7 ∗ ∗ ∗
0 . 8 4 5
( 0 . 1 1 7 )
7 . 2 1
1 ∗ ∗ ∗
− 0 . 4 1 7
( 0 . 1 0 8 )
3 . 8 6 0 ∗ ∗ ∗
− 0 . 4 3 5
( 0 . 1 0 7 )
4 . 0 5 6 ∗ ∗ ∗
B e l o n g s t o r e l i g i o n ,
a g e 4 2
−
0 . 3 7 5
(
0 . 1 3 1 )
2 . 8 7 0 ∗ ∗
− 0 . 3 5 5
( 0 . 1 3 1 )
2 . 7 1 5 ∗ ∗
− 0 . 1 2 4
( 0 . 0 9 2 )
1 . 3 5 0
− 0 . 1 1 1
( 0 . 0 9 2 )
1 . 2 0
8
0 . 1 7 3
( 0 . 0 8 5 )
2 . 0 3 9 ∗
0 . 1 5 8
( 0 . 0 8 4 )
1 . 8 7 5 +
P a r t n e r e d , a g e 4 2
−
0 . 4 2 1
(
0 . 1 2 4 )
3 . 3 9 4 ∗ ∗ ∗
− 0 . 4 2 5
( 0 . 1 2 4 )
3 . 4 2 3 ∗ ∗ ∗
− 0 . 2 2 5
( 0 . 0 8 7 )
2 . 5 7 6 ∗ ∗
− 0 . 2 2 4
( 0 . 0 8 7 )
2 . 5 6
4 ∗ ∗
0 . 6 8 2
( 0 . 0 8 1 )
8 . 4 7 0 ∗ ∗ ∗
0 . 6 8 1
( 0 . 0 8 0 )
8 . 5 0 0 ∗ ∗ ∗
P a r e n t i n g
F a t h e r i n v o l v e m e n t ,
a g e 7
− 0 . 1 2 7
( 0 . 1 0 2 )
1 . 2 4 6
− 0 . 0 0 4
( 0 . 0 7 2 )
0 . 0 6
1
0 . 0 4 4
( 0 . 0 6 6 )
0 . 6 6 3
M o t h e r
i n v o l v e m e n t , a g e 7
0 . 0 9 3
( 0 . 1 3 8 )
0 . 6 7 1
− 0 . 0 1 4
( 0 . 0 9 7 )
0 . 1 4
4
0 . 0 8 7
( 0 . 0 8 9 )
0 . 9 7 4
C l o s e n e s s t o f a t h e r ,
a g e 1 6
0 . 0 2 9
( 0 . 1 2 2 )
0 . 2 3 3
− 0 . 1 0 5
( 0 . 0 8 6 )
1 . 2 1
0
0 . 0 0 4
( 0 . 0 7 9 )
0 . 0 5 4
C l o s e n e s s t o
m o t h e r , a g e 1 6
− 0 . 4 1 0
( 0 . 1 3 9 )
2 . 9 4 0 ∗ ∗
− 0 . 1 5 7
( 0 . 0 9 8 )
1 . 5 9
9
0 . 4 1 8
( 0 . 0 9 0 )
4 . 6 4 4 ∗ ∗ ∗
R 2 a d j
0 . 0 4 9
0 . 0 5 3
0 . 1 1 0
0 . 1 1 1
0 . 0 7 9
0 . 0 9 0
F ( d f 1 , d f 2 )
9 . 6 9 5 ∗ ∗ ∗
( 1
3 , 2 1 7 5 )
8 . 1 4 4 ∗ ∗ ∗
( 1 7 , 2 1 7 1 )
2 1 . 7 4 4 ∗ ∗ ∗
( 1 3 , 2 1 7 5 )
1 7 . 0 8 9 ∗ ∗ ∗
( 1 7 , 2 1 7 1 )
1 5 . 3 8 0 ∗ ∗ ∗
( 1 3 , 2 1 7 5 )
1 3 . 7 9 1 ∗ ∗ ∗
( 1 7 , 2 1 7 1 )
F c h a n g e ( d f 1 , d f 2 )
9 . 6 9 5 ∗ ∗ ∗
( 1
3 , 2 1 7 5 )
2 . 9 8 8 ∗ ∗ ∗
( 4 , 2 1 7 1 ) ∗
2 1 . 7 4 4 ∗ ∗ ∗
( 1 3 , 2 1 7 5 )
1 . 8 4 9
( 4 , 2 1 7 1 )
1 5 . 3 8 0 ∗ ∗ ∗
( 1 3 , 2 1 7 5 )
7 . 9 8 5 ∗ ∗ ∗
( 4 , 2 1 7 1 )
+ p <
0 . 1 0 ; ∗ p <
0 . 0 5 ; ∗ ∗ p
<
0 . 0 1 ; ∗ ∗ ∗ p <
0 . 0 0 1 .
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T A B L E I V
R e g r e s s i o n c o e f fi c i e n t s ( b ) w i t h s t a n d a r d e r r o r s ( S E b ) a n d t - s t a t i s t i c s ( t ) p r e d i c t i n g i n d i c a t o r s o f s u b j e c t i v e w e l l - b e i n g
a t a g e 4 2 i n m e n ( N =
1 0 6 8 )
P o o
r p s y c h o l o g i c a l f u n c t i o n i n g
P s y c h o l o g i c a l d i s t r e s s
L i f e s a t i s f a c t i o n
P r e d i c t o r s
M o d e l 1
M o d e l 2
M o d e l 1
M o d e l 2
M o d e l 1
M o d e l 2
C o n t r o l f a c t o r s
b ( S
E b )
t
b ( S E b )
t
b ( S E b )
t
b ( S E b )
t
b ( S E b )
t
b ( S E b )
t
C o n s t a n t
2
4 . 0 2 0
( 3 . 2 8 1 )
7 . 3 2 2 ∗ ∗ ∗
2 6 . 6 3 8
( 3 . 4 4 5 )
7 . 7 3 2 ∗ ∗ ∗
6 . 1 2 2
( 2 . 2 9 2 )
2 . 6 7 1 ∗ ∗
7 . 6 1 9
( 2 . 4 1 3 )
3 . 1 5 8 ∗ ∗
1 7 . 1 2 2
( 2 . 1 4 3 )
7 . 9 9 1 ∗ ∗ ∗
1 4 . 7 7 5
( 2 . 2 4 3 )
6 . 5 8 7 ∗ ∗ ∗
N o n - m a n u a l S E G o f
p a r e n t s , b i r t h
−
0 . 1 8 4
( 0 . 1 8 7 )
0 . 9 8 3
− 0 . 1 3 6
( 0 . 1 8 7 )
0 . 7 2 6
− 0 . 1 9 8
( 0 . 1 3 1 )
1 . 5 1 4
− 0 . 1 8 1
( 0 . 1 3 1 )
1 . 3 8 6
− 0 . 2 5 0
( 0 . 1 2 2 )
2 . 0 5 1 ∗
− 0 . 2 9 2
( 0 . 1 2 2 )
2 . 3 9 7 ∗
N o m e n t a l i l l n e s s i n
t h e f a m i l y , a g e 7
0 . 2 9 6
( 1 . 0 5 3 )
0 . 2 8 1
0 . 2 8 1
( 1 . 0 5 4 )
0 . 2 6 6
− 0 . 6 7 4
( 0 . 7 3 6 )
0 . 9 1 6
− 0 . 7 2 4
( 0 . 7 3 8 )
0 . 9 8 0
− 0 . 6 7 2
( 0 . 6 8 8 )
0 . 9 7 6
− 0 . 5 9 5
( 0 . 6 8 6 )
0 . 8 6 8
D o m e s t i c t e n s i o n ,
a g e 7
0 . 5 5 1
( 0 . 5 3 1 )
1 . 0 3 8
0 . 4 5 1
( 0 . 5 3 1 )
0 . 8 4 9
0 . 0 6 8
( 0 . 3 7 1 )
0 . 1 8 4
0 . 0 4 5
( 0 . 3 7 2 )
0 . 1 2 0
− 0 . 1 7 8
( 0 . 3 4 7 )
0 . 5 1 3
− 0 . 0 6 4
( 0 . 3 4 6 )
0 . 1 8 5
P a r e n t a l f a m i l y i s
n o t i n t a c t
( a g e 7 – 1 6 )
0 . 0 8 4
( 0 . 5 5 1 )
0 . 1 5 3
0 . 0 6 9
( 0 . 5 5 0 )
0 . 1 2 5
0 . 1 7 8
( 0 . 3 8 5 )
0 . 4 6 3
0 . 1 4 5
( 0 . 3 8 5 )
0 . 3 7 5
− 0 . 3 6 8
( 0 . 3 6 0 )
1 . 0 2 4
− 0 . 3 6 6
( 0 . 3 5 8 )
1 . 0 2 4
F i n a n c i a l d i f fi c u l t i e s
i n t h e p a r e n t a l
f a m i l y
( a g e 7 – 1 6 )
−
0 . 1 0 3
( 0 . 2 3 7 )
0 . 4 3 4
− 0 . 1 5 7
( 0 . 2 3 9 )
0 . 6 6 0
− 0 . 0 8 1
( 0 . 1 6 5 )
0 . 4 9 3
− 0 . 0 9 7
( 0 . 1 6 7 )
0 . 5 8 0
− 0 . 0 0 2
( 0 . 1 5 4 )
0 . 0 1 1
0 . 0 6 3
( 0 . 1 5 5 )
0 . 4 0 5
P s y c h o l o g i c a l
m a l a d j u s t m e n t ,
a g e 1 6
0 . 0 6 4
( 0 . 0 3 7 )
1 . 7 2 8 +
0 . 0 5 0
( 0 . 0 3 7 )
1 . 3 3 9
0 . 1 1 2
( 0 . 0 2 6 )
4 . 3 6 0 ∗ ∗ ∗
0 . 1 0 3
( 0 . 0 2 6 )
3 . 9 6 3 ∗ ∗ ∗
− 0 . 0 3 6
( 0 . 0 2 4 )
1 . 5 1 0
− 0 . 0 3 0
( 0 . 0 2 4 )
1 . 2 4 0
E d u c a t i o n a l
q u a l i fi c a t i o n s b y
a g e 2 0
0 . 2 1 1
( 0 . 1 5 7 )
1 . 3 4 6
0 . 2 9 7
( 0 . 1 6 3 )
1 . 8 2 7 +
− 0 . 0 9 4
( 0 . 1 0 9 )
0 . 8 6 4
− 0 . 0 7 2
( 0 . 1 1 4 )
0 . 6 3 0
0 . 0 3 4
( 0 . 1 0 2 )
0 . 3 2 8
− 0 . 0 4 6
( 0 . 1 0 6 )
0 . 4 3 2
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S e l f - r a t e d p o o r
p h y s i c a l h e a l t h ,
a g e 2 3
0 . 4 3 5
( 0 . 2 2 6 )
1 . 9 2 3 ∗
0 . 3 3 8
( 0 . 2 2 8 )
1 . 4 8 4
0 . 4 8 3
( 0 . 1 5 8 )
3 . 0 5 6 ∗ ∗
0 . 4 3 1
( 0 . 1 6 0 )
2 . 6 9 9 ∗ ∗
− 0 . 6 3 1
( 0 . 1 4 8 )
4 . 2 7 4 ∗ ∗ ∗
− 0 . 5 4 9
( 0 . 1 4 8 )
3 . 7 0 1 ∗ ∗ ∗
U n e m p l o y e d , a g e 4 2
0 . 6 7 8
( 0 . 4 6 2 )
1 . 4 6 7
0 . 6 8 9
( 0 . 4 6 1 )
1 . 4 9 4
0 . 3 1 9
( 0 . 3 2 3 )
0 . 9 8 8
0 . 3 2 2
( 0 . 3 2 3 )
0 . 9 9 9
− 0 . 1 7 7
( 0 . 3 0 2 )
0 . 5 8 5
− 0 . 1 8 9
( 0 . 3 0 0 )
0 . 6 3 1
O u t s i d e t h e l a b o u r
f o r c e , a g e 4 2
2 . 6 1 9
( 0 . 3 4 0 )
7 . 6 9 4 ∗ ∗ ∗
2 . 6 6 6
( 0 . 3 4 0 )
7 . 8 4 3 ∗ ∗ ∗
2 . 3 2 9
( 0 . 2 3 8 )
9 . 7 9 0 ∗ ∗ ∗
2 . 3 5 2
( 0 . 2 3 8 )
9 . 8 8 1 ∗ ∗ ∗
− 1 . 0 8 6
( 0 . 2 2 2 )
4 . 8 8 4 ∗ ∗ ∗
− 1 . 1 3 4
( 0 . 2 2 1 )
5 . 1 2 4 ∗ ∗ ∗
B e l o n g s t o r e l i g i o n ,
a g e 4 2
−
0 . 5 7 0
( 0 . 1 7 2 )
3 . 3 1 1 ∗ ∗ ∗
− 0 . 5 5 9
( 0 . 1 7 2 )
3 . 2 4 8 ∗ ∗ ∗
− 0 . 1 0 9
( 0 . 1 2 0 )
0 . 9 0 6
− 0 . 0 9 6
( 0 . 1 2 1 )
0 . 7 9 4
0 . 2 8 8
( 0 . 1 1 3 )
2 . 5 5 8 ∗ ∗
0 . 2 9 2
( 0 . 1 1 2 )
2 . 5 9 9 ∗ ∗
P a r t n e r e d , a g e 4 2
0 . 1 1 4
( 0 . 1 7 4 )
0 . 6 5 5
0 . 0 7 7
( 0 . 1 7 4 )
0 . 4 4 5
0 . 1 0 9
( 0 . 1 2 1 )
0 . 8 9 6
0 . 0 9 0
( 0 . 1 2 2 )
0 . 7 4 3
0 . 4 9 8
( 0 . 1 1 4 )
4 . 3 8 3 ∗ ∗ ∗
0 . 5 1 7
( 0 . 1 1 3 )
4 . 5 7 3 ∗ ∗ ∗
P a r e n t i n g
F a t h e r i n v o l v e m e n t ,
a g e 7
− 0 . 2 5 3
( 0 . 1 4 7 )
1 . 7 2 8 +
− 0 . 1 1 7
( 0 . 1 0 3 )
1 . 1 3 5
0 . 0 3 0
( 0 . 0 9 5 )
0 . 3 1 2
M o t h e r
i n v o l v e m e n t , a g e 7
− 0 . 0 1 8
( 0 . 1 9 5 )
0 . 0 9 4
0 . 0 7 8
( 0 . 1 3 7 )
0 . 5 6 8
0 . 2 5 2
( 0 . 1 2 7 )
1 . 9 8 3 ∗
C l o s e n e s s t o f a t h e r ,
a g e 1 6
− 0 . 1 1 3
( 0 . 1 8 8 )
0 . 6 0 2
− 0 . 2 0 8
( 0 . 1 3 2 )
1 . 5 7 6
0 . 0 5 2
( 0 . 1 2 2 )
0 . 4 2 1
C l o s e n e s s t o
m o t h e r , a g e 1 6
− 0 . 3 5 8
( 0 . 2 1 1 )
1 . 6 9 4 +
− 0 . 0 6 5
( 0 . 1 4 8 )
0 . 4 4 1
0 . 3 4 0
( 0 . 1 3 8 )
2 . 4 7 0 ∗
R 2 a d j
0 . 0 6 6
0 . 0 7 3
0 . 1 2 0
0 . 1 2 2
0 . 0 7 8
0 . 0 9 0
F ( d f 1 , d f 2 )
7 . 0 3 4 ∗ ∗ ∗
( 1
2 , 1 0 5 5 )
6 . 2 1 5 ∗ ∗ ∗
( 1 6 , 1 0 5 1 )
1 3 . 0 8 0 ∗ ∗ ∗
( 1 2 , 1 0 5 5 )
1 0 . 2 2 7 ∗ ∗ ∗
( 1 6 , 1 0 5 1 )
8 . 5 1 7 ∗ ∗ ∗
( 1 2 , 1 0 5 5 )
7 . 6 0 0 ∗ ∗ ∗
( 1 6 , 1 0 5 1 )
F c h a n g e ( d f 1 , d f 2 )
7 . 0 3 4 ∗ ∗ ∗
( 1
2 , 1 0 5 5 )
2 . 8 0 1 ∗
( 4 , 1 0 5 1 )
1 3 . 0 8 0 ∗ ∗ ∗
( 1 2 , 1 0 5 5 )
1 . 5 8 4
( 4 , 1 0 5 1 )
8 . 5 1 7 ∗ ∗ ∗
( 1 2 , 1 0 5 5 )
4 . 5 0 9 ∗ ∗ ∗
( 4 , 1 0 5 1 )
+ p <
0 . 1 0 ; ∗ p <
0 . 0 5 ; ∗ ∗ p
<
0 . 0 1 ; ∗ ∗ ∗ p <
0 . 0 0 1 .
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T A B L E V
R e g r e s s i o n c o e f fi c i e n t s ( b ) w i t h s t a n d a r d e r r o r s ( S E b ) a n d t - s t a t i s t i c s ( t ) p r e d i c t i n g i n d i c a t o r s o f s u b j e c t i v e w e l l - b e i n g
a t a g e 4 2 i n w o m e n ( N =
1 1 2 1 )
P o o
r p s y c h o l o g i c a l f u n c t i o n i n g
P s y c h o l o g i c a l d i s t r e s s
L i f e s a t i s f a c t i o n
P r e d i c t o r s
M o d e l 1
M o d e l 2
M o d e l 1
M o d e l 2
M o d e l 1
M o d e l 2
C o n t r o l f a c t o r s
b ( S
E b )
t
b ( S E b )
t
b ( S E b )
t
b ( S E b )
t
b ( S E b )
t
b ( S E b )
t
C o n s t a n t
2
4 . 5 8 9
( 2 . 9 3 0 )
2 . 9 3 0 ∗ ∗ ∗
2 6 . 1 3 2
( 3 . 0 5 1 )
8 . 5 6 5 ∗ ∗ ∗
4 . 5 4 9
( 2 . 0 6 0 )
2 . 2 0 8 ∗
5 . 9 2 0
( 2 . 1 4 7 )
2 . 7 5 7 ∗ ∗
1 5 . 6 9 6
( 1 . 9 1 5 )
8 . 1 9 7 ∗ ∗ ∗
1 3 . 4 5 0
( 1 . 9 8 2 )
6 . 7 8 5 ∗ ∗ ∗
N o n - m a n u a l S E G o f
p a r e n t s , b i r t h
−
0 . 0 5 8
( 0 . 1 8 6 )
0 . 3 1 2
− 0 . 0 9 5
( 0 . 1 8 7 )
0 . 5 0 6
− 0 . 1 0 5
( 0 . 1 3 1 )
0 . 8 0 3
− 0 . 1 1 1
( 0 . 1 3 1 )
0 . 8 4 1
− 0 . 0 7 0
( 0 . 1 2 1 )
0 . 5 8 0
− 0 . 0 6 2
( 0 . 1 2 1 )
0 . 5 1 0
N o m e n t a l i l l n e s s i n
t h e f a m i l y , a g e 7
−
0 . 5 8 5
( 0 . 9 2 8 )
0 . 6 3 1
− 0 . 7 5 9
( 0 . 9 3 2 )
0 . 8 1 5
− 0 . 2 4 6
( 0 . 6 5 2 )
0 . 3 7 7
− 0 . 3 4 3
( 0 . 6 5 6 )
0 . 5 2 3
0 . 1 8 3
( 0 . 6 0 6 )
0 . 3 0 3
0 . 2 5 8
( 0 . 6 0 5 )
0 . 4 2 7
D o m e s t i c t e n s i o n ,
a g e 7
−
0 . 1 0 2
( 0 . 3 9 2 )
0 . 2 6 1
− 0 . 0 5 8
( 0 . 3 9 3 )
0 . 1 4 8
0 . 0 8 6
( 0 . 2 7 6 )
0 . 3 1 3
0 . 1 0 5
( 0 . 2 7 6 )
0 . 3 8 0
− 0 . 3 5 5
( 0 . 2 5 6 )
1 . 3 8 5
− 0 . 3 6 4
( 0 . 2 5 5 )
1 . 4 2 7
P a r e n t a l f a m i l y i s
n o t i n t a c t
( a g e 7 – 1 6 )
−
0 . 2 0 6
( 0 . 5 6 8 )
0 . 3 6 3
− 0 . 2 1 3
( 0 . 5 6 7 )
0 . 3 7 5
− 0 . 5 2 6
( 0 . 3 9 9 )
1 . 3 1 7
− 0 . 5 4 1
( 0 . 3 9 9 )
1 . 3 5 4
0 . 1 3 4
( 0 . 3 7 1 )
0 . 3 6 0
0 . 1 5 9
( 0 . 3 6 9 )
0 . 4 3 3
F i n a n c i a l d i f fi c u l t i e s
i n t h e p a r e n t a l
f a m i l y ( a g e 7 – 1 6 )
−
0 . 1 3 9
( 0 . 2 1 8 )
0 . 6 3 9
− 0 . 0 8 7
( 0 . 2 1 9 )
0 . 3 9 5
− 0 . 0 8 7
( 0 . 1 5 3 )
0 . 5 6 8
− 0 . 0 6 7
( 0 . 1 5 4 )
0 . 4 3 7
− 0 . 1 7 7
( 0 . 1 4 2 )
1 . 2 4 3
− 0 . 2 0 6
( 0 . 1 4 2 )
1 . 4 4 9
P s y c h o l o g i c a l
m a l a d j u s t m e n t ,
a g e 1 6
0 . 1 4 0
( 0 . 0 3 4 )
4 . 0 9 4 ∗ ∗ ∗
0 . 1 3 3
( 0 . 0 3 4 )
3 . 8 5 4 ∗ ∗ ∗
0 . 1 5 6
( 0 . 0 2 4 )
6 . 4 8 1 ∗ ∗ ∗
0 . 1 4 9
( 0 . 0 2 4 )
6 . 1 6 3 ∗ ∗ ∗
− 0 . 0 4 4
( 0 . 0 2 2 )
1 . 9 4 9 ∗
− 0 . 0 3 3
( 0 . 0 2 2 )
1 . 4 6 6
E d u c a t i o n a l
q u a l i fi c a t i o n s b y
a g e 2 0
0 . 0 6 3
( 0 . 1 6 4 )
0 . 3 8 7
0 . 0 1 4
( 0 . 1 6 9 )
0 . 0 8 2
− 0 . 5 3 5
( 0 . 1 1 5 )
4 . 6 4 5 ∗ ∗ ∗
− 0 . 5 4 8
( 0 . 1 1 9 )
4 . 6 0 6 ∗ ∗ ∗
− 0 . 1 1 6
( 0 . 1 0 7 )
1 . 0 8 1
− 0 . 1 2 2
( 0 . 1 1 0 )
1 . 1 0 7
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351
S e l f - r a t e d p o o r
p h y s i c a l h e a l t h ,
a g e 2 3
0 . 7 5 5
( 0 . 2 1 3 )
3 . 5 4 6 ∗ ∗ ∗
0 . 7 2 5
( 0 . 2 1 4 )
3 . 3 9 3 ∗ ∗ ∗
0 . 8 5 3
( 0 . 1 5 0 )
5 . 6 9 1 ∗ ∗ ∗
0 . 8 2 2
( 0 . 1 5 0 )
5 . 4 7 3 ∗ ∗ ∗
− 0 . 6 7 6
( 0 . 1 3 9 )
4 . 8 5 5 ∗ ∗ ∗
− 0 . 6 3 4
( 0 . 1 3 9 )
4 . 5 6 9 ∗ ∗ ∗
U n e m p l o y e d , a g e 4 2
0 . 5 6 0
( 0 . 6 7 9 )
0 . 8 2 5
0 . 4 2 3
( 0 . 6 8 1 )
0 . 6 2 2
0 . 0 2 8
( 0 . 4 7 8 )
0 . 0 6 0
− 0 . 0 4 5
( 0 . 4 7 9 )
1 . 0 9 5
0 . 1 1 5
( 0 . 4 4 4 )
0 . 2 5 9
0 . 2 2 8
( 0 . 4 4 2 )
0 . 5 1 6
O u t s i d e t h e l a b o u r
f o r c e , a g e 4 2
0 . 5 6 2
( 0 . 1 9 0 )
2 . 9 6 0 ∗ ∗
0 . 5 6 6
( 0 . 1 9 0 )
2 . 9 8 3 ∗ ∗
0 . 4 0 5
( 0 . 1 3 4 )
3 . 0 3 7 ∗ ∗
0 . 4 0 7
( 0 . 1 3 3 )
3 . 0 4 7 ∗ ∗
− 0 . 2 2 6
( 0 . 1 2 4 )
1 . 8 2 1 +
− 0 . 2 3 4
( 0 . 1 2 3 )
1 . 9 0 2 +
B e l o n g s t o r e l i g i o n ,
a g e 4 2
−
0 . 1 0 8
( 0 . 1 9 7 )
0 . 5 4 7
− 0 . 0 9 6
( 0 . 1 9 7 )
0 . 4 8 8
− 0 . 1 1 8
( 0 . 1 3 9 )
0 . 8 5 0
− 0 . 1 0 8
( 0 . 1 3 9 )
0 . 7 7 7
0 . 0 2 8
( 0 . 1 2 9 )
0 . 2 1 8
0 . 0 0 5
( 0 . 1 2 8 )
0 . 0 3 9
P a r t n e r e d , a g e 4 2
−
0 . 9 1 3
( 0 . 1 7 6 )
5 . 2 0 3 ∗ ∗ ∗
− 0 . 9 3 6
( 0 . 1 7 6 )
5 . 3 0 4 ∗ ∗ ∗
− 0 . 4 9 7
( 0 . 1 2 3 )
4 . 0 2 4 ∗ ∗ ∗
− 0 . 4 9 8
( 0 . 1 2 4 )
4 . 0 0 9 ∗ ∗ ∗
0 . 8 3 7
( 0 . 1 1 5 )
7 . 2 9 7 ∗ ∗ ∗
0 . 8 3 0
( 0 . 1 1 5 )
7 . 2 4 0 ∗ ∗ ∗
P a r e n t i n g
F a t h e r i n v o l v e m e n t ,
a g e 7
0 . 0 0 1
( 0 . 1 4 0 )
0 . 0 1 1
0 . 1 0 8
( 0 . 0 9 9 )
1 . 0 9 5
0 . 0 4 1
( 0 . 0 9 1 )
0 . 4 5 2
M o t h e r
i n v o l v e m e n t , a g e 7
0 . 2 2 5
( 0 . 1 9 3 )
1 . 1 6 7
− 0 . 0 4 0
( 0 . 1 3 6 )
0 . 2 9 8
− 0 . 0 6 5
( 0 . 1 2 5 )
0 . 5 2 1
C l o s e n e s s t o f a t h e r ,
a g e 1 6
0 . 1 2 9
( 0 . 1 6 1 )
0 . 8 0 4
− 0 . 0 5 2
( 0 . 1 1 3 )
0 . 4 5 8
− 0 . 0 3 5
( 0 . 1 0 4 )
0 . 3 3 2
C l o s e n e s s t o
m o t h e r , a g e 1 6
− 0 . 4 3 3
( 0 . 1 8 4 )
2 . 3 4 7 ∗
− 0 . 2 2 6
( 0 . 1 3 0 )
1 . 7 3 8 +
0 . 5 0 7
( 0 . 1 2 0 )
4 . 3 3 2 ∗ ∗ ∗
R 2 a d j
0 . 0 5 4
0 . 0 5 6
0 . 1 2 7
0 . 1 2 8
0 . 0 6 8
0 . 0 8 2
F ( d f 1 , d f 2 )
6 . 3 0 6 ∗ ∗ ∗
( 1
2 , 1 1 0 8 )
5 . 1 8 7 ∗ ∗ ∗
( 1 6 , 1 1 0 4 )
1 4 . 5 4 9 ∗ ∗ ∗
( 1 2 , 1 1 0 8 )
1 1 . 2 8 1 ∗ ∗ ∗
( 1 6 , 1 1 0 4 )
7 . 8 4 9 ∗ ∗ ∗
( 1 2 , 1 1 0 8 )
7 . 2 4 4 ∗ ∗ ∗
( 1 6 , 1 1 0 4 )
F c h a n g e ( d f 1 , d f 2 )
6 . 3 0 6 ∗ ∗ ∗
( 1
2 , 1 1 0 8 )
1 . 7 7 5
( 4 , 1 1 0 4 )
1 4 . 5 4 9 ∗ ∗ ∗
( 1 2 , 1 1 0 8 )
1 . 4 1 3
( 4 , 1 1 0 4 )
7 . 8 4 9 ∗ ∗ ∗
( 1 2 , 1 1 0 8 )
5 . 0 8 0 ∗ ∗ ∗
( 4 , 1 1 0 4 )
+ p <
0 . 1 0 ; ∗ p <
0 . 0 5 ; ∗ ∗ p
<
0 . 0 1 ; ∗ ∗ ∗ p <
0 . 0 0 1 .
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352 EIRINI FLOURI
of life satisfaction. Poor self-rated physical health, being outside the
labour force, and being unpartnered were associated with lower levelsof life satisfaction and higher levels of psychological distress and poor
psychological functioning. Parenting improved the poor psychological
functioning and the life satisfaction models, but not the psychologi-
cal distress model. Closeness to mother at age 16 predicted both life
satisfaction and psychological functioning at age 42. The amount of
variance in SWB explained by the variables in the final models of
Table III ranged from 5% to 11%.
As can be seen in Table IV which predicts SWB in men, as a whole,
parenting significantly improved the regression models for psychologi-
cal functioning and life satisfaction but not the model for psychologicaldistress. Father involvement at age 7 and closeness to mother at age 16
marginally failed to be negatively related to psychological functioning
at age 42, and mother involvement and closeness to mother were signif-
icantly related to life satisfaction at age 42. None of the four parenting
variables were related to psychological distress, however.
As can be seen in the second models of these indicators of SWB, sev-
eral variables mediated the relationship between parenting and SWB.
A notable decrease (e.g. >10%) in the coefficient b estimate describ-
ing the relationship between one of the control variables and SWB
after parenting variables are added to the model would support the
hypothesis of mediation. As can be seen in Table IV, psychologicalmaladjustment at age 16, self-reported physical health at age 23, and
being partnered at age 42 mediated the relationship between parent-
ing and psychological functioning at age 42 (when the four parenting
variables were introduced in the model the regression coefficients for
these variables decreased by 21.9%, 22.3%, and 32.5%, respectively).
In fact, self-reported physical health completely mediated the rela-
tionship between parenting and psychological functioning at age 42.
Whereas before entering the parenting variables poor self-reported
physical health predicted poor psychological functioning (t = 1.923,
df : 1055, p < 0.05), when the parenting variables were entered in the
model self-reported physical health became insignificant (t = 1.484,df : 1051, p > 0.05) suggesting that parenting is related to later SWB
by affecting self-reported physical health. Similarly, educational attain-
ment, self-reported physical health at age 23, religiosity at age 42, and
being partnered at age 42 mediated the relationship between parent-
ing and psychological distress at age 42 (when the parenting variables
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THE ROLE OF PARENTING IN SUBJECTIVE WELL-BEING 353
cluster was entered in the model the regression coefficients for these
variables decreased by 23.4%, 10.8%, 11.9%, and 17.4%, respectively).Finally, psychological maladjustment at age 16 and self-reported phys-
ical health at age 23 mediated the relationship between parenting and
life satisfaction at age 42 (their regression coefficients decreased by
16.7% and 13%, respectively when parenting was introduced in the
regression equation).
As can be seen in Table V which shows the regression results for
women, although as a whole parenting did not improve the regression
model for either psychological functioning or psychological distress
later in life, closeness to mother at age 16 was significantly related to
low GHQ scores, and was marginally related to low Malaise scoresat age 42. Several variables mediated the effect of parenting in psy-
chological functioning. In particular, when parenting was entered in
the psychological functioning model the regression coefficients for
financial difficulties throughout childhood, educational attainment by
age 20, being unemployed at age 42, and religiosity at age 42 decreased
by 37.4%, 77.8%, 24.5%, and 11.1%, respectively. When parenting
was entered in the psychological distress model only the regression
coefficient for financial difficulties throughout childhood decreased
substantially (by 23%). On the whole, parenting significantly improved
the regression model for life satisfaction, however. Closeness to mother
at age 16, in particular, was positively related to life satisfaction atage 42. Two variables mediated the relationship between parenting
and life satisfaction, namely psychological maladjustment at age 16
and religiosity at age 42 (the regression coefficient for psychologi-
cal maladjustment decreased by 25% and the regression coefficient
for religiosity decreased by 82.1% after the parenting variables were
entered into the regression model). In fact, psychological maladjust-
ment completely mediated the relationship between parenting and life
satisfaction (psychological maladjustment was negatively associated
with life satisfaction in Model 1 which showed the regression results
before parenting was introduced in the regression equation, but ceased
to be significant when parenting was introduced in Model 2).
Non-Response Bias Analysis Results
Non-response bias analyses were undertaken to see if those missing
biased the results in any way. When index variables representing miss-
ing information on parental social class, family structure, domestic
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354 EIRINI FLOURI
tension, andill mental health in the family, for instance,were introduced
into the men’s and women’s regression models predicting poor psy-chological functioning, psychological distress and life satisfaction
alongside parental social class, family structure, domestic tension, and
ill mental health in the family, it was found that in both men and women
those with complete data on parental social class reported lower psy-
chological distress than those with missing data. In women but not in
men those with complete data on parental family structure and parental
mental health reported lower psychological distress than those with
missing data. Finally, men with complete data on domestic tension
reported lower psychological distress than men with missing data on
domestic tension, and women with complete data on domestic ten-sion reported higher life satisfaction than women with missing data on
domestic tension.
DISCUSSION
This study explored the long-term effect of parents’ involvement and
quality of parent–child relationships in later SWB. Although closeness
to father and father involvement were not related to later SWB at the
multivariate level in either men or women, mother involvement at age 7
was related to life satisfaction at age 42 in men, and closeness to mother
at age 16 was related to positive psychological functioning at age 42
in women. In addition, closeness to mother at age 16 predicted life
satisfaction at age 42 in both men and women. However, only a very
modest amount of the variance in subjective well-being (ranging from
6% to 13%) was explained by the variables in the models. In fact, the
unique contribution of the parenting variables in the variance in SWB
never exceeded 1%.
Perhaps more importantly, however, this study identified several
pathways of influence through which parenting in childhood might
be related to SWB in midadulthood. In particular, parenting predicted
subjective psychological functioning in midadulthood in men by pro-moting subjective physical health in early adulthood, and it predicted
life satisfaction in midadulthood in women by promoting psycholog-
ical adjustment in adolescence. Parenting also partially mediated the
effects of other correlates of adult SWB. In men, for instance, par-
enting influenced psychological functioning via its effect in lowering
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356 EIRINI FLOURI
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