ORIGINAL ARTICLE
Socio-demographic factors and early life events
associated with happiness in adults of Metropolitan Lima
Javier
E. Saavedra
1,2,
Psychiatrist, doctor in medicine.
1 Instituto Nacional de Salud Mental “Honorio
Delgado – Hideyo Noguchi “, Lima, Peru.
2 Facultad de Medicina, Universidad Peruana
Cayetano Heredia, Lima, Peru.
ABSTRACT
Objectives: To estimate socio-demographic factors and early life events
associated with happiness in
Materials and methods: A secondary analysis was carried out on the Epidemiological Study
of Mental Health of Metropolitan Lima 2012. The instruments used were the
Quality of Life Index; a brief and modified version of the EMBU; a
questionnaire of early adverse events; a Happiness Index built from Andrews’
single item of Happiness and the Life Satisfaction Scale. Adjusted multivariate
analyses were performed.
Results: Happiness was significantly associated with gender, marital status,
poverty, and level of education. Parenting styles associated significantly with
less happiness were: behaviors of rejection and sexist attitudes; and with
higher happiness: emotional warmth. No association was found with
overprotection or favoritism breeding practices. Early adverse events
significantly associated with lower happiness were discussions within the
family, father with problems of alcohol, parental absence, behaviors of
emotional blackmail or threats.
Conclusions: This study highlights the importance of developing intensive
programs in the first years of life that promote parenting styles and healthy
development environments.
Keywords: Happiness, Adult Survivors of Child Adverse Events, Child Rearing. (source: MeSH NLM)
INTRODUCTION
Happiness corresponds to the area of psychology linked to
positive health. Emotions such as happiness, contentment or enjoyment expand
the repertoire of “thought-action” of people at any given time, therefore, they
become more durable personal resources and would serve to prevent and treat
problems rooted in negative emotions, such as anxiety, depression or others
related to stress (1). Positive health has also been found to be linked to
biological correlations such as survival in people with coronary heart disease (2), and
even longevity (3). Other authors claim that economic growth is not
necessarily associated with happiness. Therefore, the latter is a population
priority and a need for research (4).
The World Happiness Report, a publication of the
General Assembly of the United Nations, used two questions to estimate
happiness in countries (“in general, how happy are you?”; and “taking all your
life into account, how satisfied do you feel?”) and found out that Peru ranked
65th out of 104 countries, and 9th in Latin America, just ahead of Venezuela.
According to this study, the external factors that determined happiness were
income, work, satisfaction with the community and governance, values and
religion; and the personal factors —physical and mental health, family
experience, education, sex and age (5). This study found that rich
countries tended to be happier, although social factors such as strength of
social support, absence of corruption and personal freedom were more important
for happiness than income. Other studies have related adverse early experiences
and parenting styles to subjective well-being in adulthood, although less so to
feelings of happiness (6-8).
KEY MESSAGES |
Motivation for the study:
Public
health has placed emphasis on studying negative aspects of health. Less
attention has been given to the study of factors associated with people’s
well-being and positive health aspects such as happiness.
Main findings:
Happiness in adults was
associated with sex, marital status, education and poverty level. Happiness
was also associated with received parenting styles and early life events.
Implications: Both negative and positive early life events can have
implications for the development of happiness in individuals. |
As far as we know, there are no other population studies in the
region that have specifically explored the feeling of happiness and its
relationship with early experiences. Therefore, the objective of this study was
to estimate the socio-demographic factors and early life events associated with
happiness in the adult population of Metropolitan Lima.
MATERIALS AND
METHODS
Study design
The
present secondary analytical cross-sectional study used the database of the
Epidemiological Study of Mental Health in Metropolitan Lima and Callao (EESMLMC
in Spanish), a survey conducted in 2012 using a representative sample of adults
in Metropolitan Lima, selected through a three-stage probabilistic process (8).
Instruments
The following instruments were used in this study and they have
been validated in previous studies conducted by the National Institute of
Mental Health (INSM in Spanish) in different regions of Peru (9):
Mezzich’s Quality of Life Index. It is composed of
10 dimensions, which evaluate aspects related to the quality of life. Each item
is to be rated on a 10-point line.
Summarized and modified version of My memories of
upbringing or EMBU (Egna Minen av Bardoms Uppfostran). In previous INSM
studies, they prepared a summarized version of 13 questions, and then they
added 5 questions about “machismo”, personal autonomy, overprotection and
control without affection (8). The internal consistency of this
psychometric analysis of 18 questions was of 0.74 as per the Cronbach Alpha.
Three dimensions were identified —affective attitudes (rejection or affection),
sibling favoritism, and overprotection or demands (9).
Negative life events before the age of 18. The
study included 8 situations of adverse life events related to threats and
living conditions determined by other parental behaviors. The INSM experts
considered that said situations were important in the country context (Table 5).
Table 5. Adverse life events associated with
happiness in adults in Metropolitan Lima
a Adjusted for sex, marital status, education and poverty
CI: confidence interval
Andrews’ Happiness Item (IUFA) (10). A
single question with categorical and polytomous answer options. In a score from 1 to 5, 5 is the highest feeling of happiness
—Would you describe yourself as happy and interested in life? (5 points),
somewhat happy? (4 points), somewhat unhappy? (3 points), unhappy and with
little interest in life? (2 points), so unhappy that life has no meaning? (1 point).
Diener’s Satisfaction with Life Scale (SWLS) (11,12).
There are 5 items on a 5-point Likert scale that measure the perception of
satisfaction with one’s life. The score goes from 5 to 25, and 15 is considered
a neutral score. Finally, we obtain 5 categories very dissatisfied (5-9),
dissatisfied (10-14), neither satisfied nor dissatisfied (15), satisfied
(16-20), and very satisfied (21-25). For this study, scores from 1 to 5 were
reassigned to the categories according to the level of satisfaction, where one
point corresponded to extremely dissatisfied and five points to extremely
satisfied.
Happiness Index (HI). This index results from the
addition of IUFA scores to the SWLS reassigned scores mentioned above.
Therefore, the HI score was from 2 to 10. The cut-off points were intentionally
set by taking the extremes first, i. e., those people who responded to the IUFA
as “somewhat unhappy” (3 points) and “neither satisfied nor dissatisfied” (3
points) in the SWLS score were considered to be people with low happiness, with
a score of 6. Thus, “low happiness” was determined when the score was 6 or less
in the HI and it included people who were considered so unhappy that life had
no meaning and were dissatisfied with life; “high or very high happiness” when the
responses to one of the instruments had a maximum score of 5 and the other
instrument at least a score of 4 (9 10 points); and “medium happiness” (7 8
points) for the rest of the combinations of responses with both instruments.
The study was programmed to estimate the convergent validity of the index
created and its categories (supplementary material).
Demographic data and poverty indicators. They included questions
from the National Household Survey (ENAHO in Spanish) 2000 (13) about age, sex, marital status, educational
level, employment situation, area of residence and the assigned healthcare
system, in addition to variables for calculating poverty, according to the
unsatisfied basic needs (UBN) method, such as housing characteristics, etc. (14) The
presence of two or more UBNs corresponds to families in extreme poverty, one
UBN to poor families and the absence of UBNs to non-poor families.
Statistical
analysis
The sample was weighted to reproduce the demographic structure
of the population studied. Since the HI was created for this study, it was
decided to evaluate the convergent validity by estimating its association with
the Mezzich’s quality of life index, following theoretical suggestions around
these two constructs (15), as well as the type of statistical analysis required (16).
The HI was categorical and the quality life index numerical, so we used the
analysis of variance (ANOVA) which, in the case of complex samples, implies
the use of SPSS general linear model.
In order to estimate the association between HI and socio
demographic variables and to identify the variables to be included in the
regression models, we performed bivariate analyses with chi-square tests
converted to the F statistic as a variant of the second-order Rao-Scott
corrected chi-square statistic and the significance based on their degrees of
freedom and a significance level of p<0.05. For multivariate analysis we
considered HI as a response variable, and socio-demographic variables, quality
of life, parenting styles and adverse life events as predicting variables, each
one separately. In each case, it was adjusted with the socio-demographic
variables identified at the beginning with a significance level of p<0.05.
We ensured that the predicting variables met the non-multicollinearity
assumption. Multivariate logistic regression analyses were included to estimate
the adjusted OR and to have a better possibility of interpretation of the relationship
between the factors studied at each level of happiness.
Ethical
considerations
The
original study was approved by the Ethics Committee of the National Institute
of Mental Health “Honorio Delgado - Hideyo Noguchi” and the informed consent
was signed by the persons interviewed. The present study was presented to the
referred committee looking for an exoneration from review because it performs a
secondary analysis of a database. The database used for this study was
anonymized.
RESULTS
A total of 4445 adults were interviewed. The weighted sample was
distributed to 48.0% men and 52.0% women. The average age was 42.6 years (95%
CI, 41.8-43.3). Most of the people surveyed were married or cohabiting (56.6%)
with high school education (44.8%); an illiteracy frequency of 3.1% (95% CI,
2.5-3.8). 63.7% (95% CI, 61.9-65.4) of the sample had a paid job the previous
week; and 21.5% of the population was in poverty according to UBN.
According to the HI, 8.4% (95% CI 7.4-9.4) of the
population expressed low or no happiness; 29.9% (95% CI 28.1-31.7) had a medium
level of happiness; and 61.7% (95% CI 59.7-63.7) of the population manifested
high or very high happiness. The type of happiness reported at the time of the
survey according to socio-demographic factors is shown in Table 1.
Table 1. Socio-demographic characteristics according
to levels of self-reported happiness by adults in Metropolitan Lima
CI: confidence interval
The bivariate analyses showed a significant
association with sex, marital status, educational level, poverty level, native
tongue, illiteracy and unemployment, with the exception of age. However, in
the multivariate analysis, the native tongue, illiteracy and unemployment
variables did not continue to show significant differences. With respect to
sex, it is observed that men are 1.79 times more likely to have “high or very
high happiness” over “low happiness” compared to women. The group that was once
attached (separated, divorced or widowed) shows a lower probability of having
“high happiness” compared to people who were attached (married or cohabiting).
People with higher education are 3.18 times more likely than people with lower
education to have “high happiness” versus “low happiness”. Non-poor people are
2.54 times more likely than extremely poor people to have “high or very high
happiness” versus the “low happiness” category (Table 2).
Table 2. Socio-demographic characteristics associated
with happiness in adults in Metropolitan Lima
a Adjusted for sex, marital status, education and poverty,
illiteracy, mother tongue and unemployment
CI: confidence interval
It was found that there is a significant
relationship between the quality of life index dimensions and the HI according
to the scores obtained in the bivariate analysis and between each of the
categories adjusted with socio-demographic variables (Table 3).
Table 3. Quality of life associated with happiness in
adults in Metropolitan Lima
a ANOVA; b multinomial regression; c
adjusted for sex, marital status, education and poverty
SE: Standard error
CI: confidence interval; SE: standard error
Some of the parenting style variables are inversely
linked to happiness, especially those related to rejection and “macho”
attitudes, and directly linked to styles involving emotional warmth. Among the
variables with a more intense association there is “you were given more
punishments than deserved”. On the other hand, the positive style most strongly
associated with happiness was “there was love and tenderness between you and
your parents”, people with this background were 3.18 times more likely to have
high or very high happiness. No parenting styles that involved favoritism or
overprotection were statistically associated with happiness (Table 4).
Table 4. Parenting styles associated with happiness
in adults in Metropolitan Lima
a Adjusted for sex, marital status, education and poverty
CI: 95% confidence intervals
With respect to adverse life events all the
situations considered showed a significant association and an intense inverse
relationship with happiness, highlighting situations such as “one of your
parents threatened to kill you” and “one of your parents threatened to stop
loving you” (Table 5).
DISCUSSION
The present study is one of the first in Peru to relate the
variables exposed. The study provides evidence about the importance of the
relationship between socio-demographic aspects and happiness, as well as
elements of personal history that could influence in people’s emotional future.
A large proportion of Lima’s adult population
considers themselves to experience a high or very high level of happiness.
These findings are similar to the Survey on Happiness, Hope and Economic
Optimism, conducted by Gallup International, which found that 59% of the
world’s population reported feeling happy, or very happy, Latin America showed
69% (17).
With respect to socio-demographic variables, this study found a significant
association with sex, marital status, educational level and poverty. These
findings are compatible with another study conducted in Iran (18).
Other variables such as illiteracy, native tongue and unemployment, although
significantly associated with happiness in the bivariate analyses, did not
retain the association at the time of comparing to other socio-demographic
variables. Likewise, some studies did not find any association between sex and
happiness (19).
With regard to the relationship between poverty and
happiness, some authors postulate that the perception of social differences
with other people leads to the search for satisfying material or physical needs
that affect, to the detriment of the time dedicated to social relations, which are
considered to generate happiness in people (4). However, we must emphasize
that a significant proportion of people in extreme poverty were at the level
of high or very high happiness. Some authors highlight that the situation of
poverty can favor collectivism or the propensity to integrate into social
groups and would explain why some poor countries would have a higher perception
of happiness than some rich countries (20).
In relation to quality of
life and happiness, this study set out to analyze the relationship between both
variables as a way of validating the HI —used as an instrument to measure
happiness, and found a significant association between all the dimensions of
the quality of life index and the levels of happiness and corroborated other authors’
proposals regarding the correlation between the variables (15).
This relationship is also expressed in the findings that would indicate that
happiness is associated with diverse results of success in work, income,
community involvement, interpersonal relationships, and health in general, all
related to the concept of quality of life (21).
With respect to parenting styles, early adverse
events are not only associated with mental disorder problems in adulthood (22),
but are also associated with aspects of positive health, such as happiness. A
study of 3,292 people in Japan found out that adverse experiences in childhood
were related to subjective well being in adulthood, regardless of socio
economic factors (7). In contrast, the study developed by Caycho and
collaborators from Lima university students (6) found no significant relationship between
happiness and overprotective and favoring parenting styles. One explanation may
lie in the age and socio economic context of the participants, since Caycho’s
study was conducted on young adults from private universities. However, it
cannot be ruled out that the relationship between adverse events in childhood
and happiness is mediated by other factors. In this sense, one study reported
that self-esteem is an important moderator between parental styles and
happiness and that the mother’s democratic style, linked to self-esteem, was
the most associated with happiness.
A negative relationship was found between adverse
life events and happiness. These findings are consistent with a community study
that reported a relationship between the intensity of abuse in childhood and
the state of mental health in adulthood (23). Other authors have found
that childhood abuse is negatively correlated with various indicators of adult
well-being, self-esteem, happiness and life satisfaction (24).
One explanation for this relationship may be that early traumatic experiences
have been associated with emotional dysregulation (25), and follow-up
studies of emotional dysregulation in childhood 14
years later reported a greater increase of emotional problems in adulthood (26). A
study of 17,337 primary care adults showed a cumulative effect of adverse
experiences in childhood on various emotional and behavioral domains in
adulthood, which could possibly explain the reduced happiness of people who
lived adverse events in childhood (27).
Within happiness, it has been considered to develop
tolerance (28),
to nurture spirituality, to give priority to close relationships, acting
positively in the face of circumstances, managing stressful emotions, providing
a pleasant physical environment, promoting healthy physical activities, seeking
jobs compatible with their abilities, including recreation, not making
comparisons, and caring about others (29). Little attention is given
in primary care to the identification of adverse experiences in childhood,
despite the impact it has (30). Putting happiness at the center of
government policy is suggested by the fact that economic growth in developed
countries has not been accompanied by improvement in happiness surveys.
However, controversies related to high subjectivity still persist (31).
The results
of this study should be considered with the following limitations —the
happiness indicator used was created for this study and, despite having
evidence of its convergent validity, other validation studies may be necessary;
this study explored only some aspects of early events and some parenting
styles, and did not integrate all the factors that may mediate and be important
for happiness. Likewise, we cannot dismiss the influence of memory and social
desirability in interviewees’ responses.
In conclusion, the findings show the importance of both negative and positive early life events for developing happiness and contribute with relevant information for a paradigm shift in the study of mental health with a public health approach not focused on diseases but on health as a whole. This study adds evidence on the importance of developing programs aimed during the first years of life, with promotional and preventive measures in the development of healthy parenting behaviors and environments conducive to the welfare of people’s life.
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Funding
sources: The original study was conducted with funding from the National
Institute of Mental Health.
Supplementary material: Available in the electronic version of the PSRP.
Citation:
Saavedra J. Socio-demographic
factors and early life events associated with happiness in adults of
Metropolitan Lima. Rev Peru Med Exp Salud Publica. 2020;37(1):42-50. Doi:
https://doi.org/10.17843/rpmesp.2020.371.4580
Correspondence to: Javier E. Saavedra; jsaavedra@insm.gob.pe; javier.saavedra@upch.pe
Author’s contributions:
JES has
participated in the conception of the research, design of the article, data
analysis, writing and approval of the final version.
Conflicts of interest: The author does not declare
any conflict of interest.
Received:
31/05/2019
Approved:
19/02/2020
Online:
23/03/2020