首页    期刊浏览 2024年12月06日 星期五
登录注册

文章基本信息

  • 标题:Tracking exposure to child poverty during the first 10 years of life in a Quebec birth cohort.
  • 作者:Seguin, Louise ; Nikiema, Beatrice ; Gauvin, Lise
  • 期刊名称:Canadian Journal of Public Health
  • 印刷版ISSN:0008-4263
  • 出版年度:2012
  • 期号:July
  • 语种:English
  • 出版社:Canadian Public Health Association
  • 摘要:Children growing up in poverty are at increased risk of suffering from diverse health problems, including asthma attacks, acute respiratory infections, growth delay, overweight and obesity as well as mental and behavioural disorders. (1-5) Moreover, exposure to poverty during early childhood has been associated with higher risk of almost every adult chronic disease, (6-10) including cardiovascular diseases (CVD) (6-8,11,12) and Alzheimer's disease, (13-17) independent of current deprivation status. (6,7,13) Yet, we do not understand the processes underlying these relationships. (6) Childhood poverty also compromises children's future life opportunities and well-being by increasing the risk of underachievement in cognitive development, social skills, and educational attainment. (10,16,17) Given that data on childhood poverty are usually aggregated for all children under 18 years, (18-21) we know little about trajectories of exposure to poverty during early childhood.
  • 关键词:Child health;Children;Chronic diseases;Family;Medical research;Medicine, Experimental;Poverty

Tracking exposure to child poverty during the first 10 years of life in a Quebec birth cohort.


Seguin, Louise ; Nikiema, Beatrice ; Gauvin, Lise 等


Children growing up in poverty are at increased risk of suffering from diverse health problems, including asthma attacks, acute respiratory infections, growth delay, overweight and obesity as well as mental and behavioural disorders. (1-5) Moreover, exposure to poverty during early childhood has been associated with higher risk of almost every adult chronic disease, (6-10) including cardiovascular diseases (CVD) (6-8,11,12) and Alzheimer's disease, (13-17) independent of current deprivation status. (6,7,13) Yet, we do not understand the processes underlying these relationships. (6) Childhood poverty also compromises children's future life opportunities and well-being by increasing the risk of underachievement in cognitive development, social skills, and educational attainment. (10,16,17) Given that data on childhood poverty are usually aggregated for all children under 18 years, (18-21) we know little about trajectories of exposure to poverty during early childhood.

Relative poverty involves a lack of minimal resources needed to live according to a society's norms. (3,18,22-25) No single measure can capture all dimensions of a poverty experience. (24-27) Some multidimensional measures of poverty are available but are difficult to interpret and remain under discussion. (25,28-31) Most poverty measures currently used are based on income either alone, (3,23,27,32,33) as in the Low Income Cut-off (LICO) from Statistics Canada, or in combination with level of education and/or employment status to yield an indicator of socio-economic status (SES). (34) Poverty is not only about lack of material resources, yet having a low income is the basis of choice limitations that lead to poverty and social exclusion, thus limiting access to healthy foods, quality clothes, good housing, healthy neighbourhoods, and quality schools. In Quebec, receiving social welfare (SW) is an indicator of extreme poverty since this allowance represents an income below the LICO. It is unclear whether these different measures of poverty (below LICO, SW, and SES) operationalize the same poverty reality. (26)

To our knowledge, there are no Canadian data on patterns and trajectories of early childhood poverty. Given that children's vulnerability to the deleterious effects of poverty varies according to timing and duration of exposure, (6,13) it appears important to study the experience of child poverty at different ages. The aim of this article is to describe exposure to poverty of participants in a Quebec birth cohort during the first 10 years of life according to different measures of poverty. We also explore family characteristics associated with different trajectories of poverty.

METHOD

Sample

The Quebec Longitudinal Study of Child Development (QLSCD) is a birth cohort of a representative sample of Quebec singleton live births in the period 1997-1998. The sampling methodology has been described elsewhere. (2,35) From 2,817 selected births, 2,675 families were contacted and 2,120 gave their consent to participate. Subjects' baseline data were collected at 5 months of age and home interviews were conducted annually up to the age of 8 years and every two years thereafter, provided that subjects still resided in the Province of Quebec. (35,36) This analysis covers data from baseline to 2008 when participants were aged 10-11 years. The study was approved by the ethics review boards of the Institut de la statistique du Quebec, the Centre Hospitalier Universitaire (CHU) Sainte-Justine, and the Faculty of Medicine of Universite de Montreal. All participants provided signed informed consent at each round.

Definition of variables

Three indicators of poverty were examined: living in a household with low income (below LICO), receiving social welfare (SW), and being of low SES. Trained interviewers recorded previous 12-month household income at each data collection occasion. (36-38) Respondents, most often the mother, were invited to recall the sources of their past 12-month household income. They were then asked to give their "best estimate of the total income before taxes and deductions of all household members from all sources". (36)

Poverty as Low Income

Low-income poverty status was defined according to the LICO computed each year by Statistics Canada. (39) The Canadian LICO represents an income threshold at which "families are expected to spend 20% more [of their income] than the average family on food, shelter, and clothing." (40) Children were classified as poor at each data collection if they lived in a household with an annual income before taxes below the LICO. LICO was not available for children when they were 4 years of age because the prior data collection procedure had occurred less than 12 months previously. (41) The Canadian LICOs take into account size of family unit and of residential area. (40) We note that "Although Statistics Canada does not refer to the LICO as a measure of poverty, most academics and interested organisations regard it as precisely that". (42)

Poverty as Living on Social Welfare

At each survey, respondents reported on their main source of income during the previous 12 months by choosing from the following options: salary, self-employment, employment insurance, social welfare (SW), or other. The number of persons in the family is taken into account when determining eligibility for and allowances provided by social welfare. A dichotomous variable was computed to contrast families receiving SW rather than other sources of income.

[FIGURE 1 OMITTED]

[FIGURE 2 OMITTED]

Poverty as Being in the Lowest Socio-economic Quintile

SES was estimated at baseline and at each follow-up visit (except at 4 years) using Willm's index of SES, which is a composite of household income, parental educational attainment, and employment prestige. (34,43) In two-parent families, the parent with the higher level of income, education or occupation was used. In single-parent families, the highest level of education or occupational status of the responding parent was used. For each study round, the three variables were standardized and subjected to factor analysis, which allowed for the extraction of a single factor explaining approximately 72% of the total variance. Factor loadings were used to compute continuous scores of SES, truncated to range from -3 to +3. (46) For each study round, a dichotomous indicator of low SES was computed as being ranked in the lowest SES quintile versus other quintiles.

Duration of poverty was expressed as the number of follow-up periods or episodes spent in a low-income family, receiving SW, or being of low SES. Chronic poverty was defined as 3-4 episodes of poverty during early childhood (<5 years), 3-5 episodes during middle childhood (between 5 and 10 years), or 6-9 episodes over the entire 10 years of life.

Family Characteristics

Since there are too many missing data for fathers, we examined only maternal characteristics at baseline: maternal educational attainment, type of family, immigration status. European immigrant mothers were combined with Canadian-born mothers because their characteristics are very similar to Canadian mothers and they were too few to make a specific category. (35,36)

Analysis

We estimated the prevalence of child poverty for each year by dividing the number of children living in low-income households or in families on SW during the time period of interest by the total number of participants during the same time period. We plotted trends in the prevalence of two poverty indicators--below LICO and SW--since the low SES indicator always represents the lowest 20% of the population.

Children's exposure to poverty was assessed in several ways. First, latent growth analyses were carried out among children followed from 5 months to 10 years to identify different poverty trajectories. The model that best fit the data was selected based on the lowest BIC (Bayesian information criterion) value, higher entropy (>0.90), and plausibility of interpretation.

Second, we computed the duration of poverty measured with the LICO, receiving SW, or being of low SES during early childhood (<5 years), during middle childhood (5-10 years), or over the entire 10 years of life. Sampling weights were applied for cross-sectional analyses of poverty whereas longitudinal weights were applied for longitudinal estimations to account for attrition.

Finally, we examined family characteristics associated with different trajectories of child poverty. Multilevel logistic regressions for repeated measures were used to model change in the chances of experiencing low income during the first 10 years of life as a function of growing up in a single-parent family, the level of maternal education, mother's immigration status, and residing in a rural or urban area. We also examined how trajectories and duration of exposure to low income (below LICO), SW, or low SES varied with these family characteristics. Here, the statistical significance of between-category differences in poverty was evaluated based on the Chi-square statistics.

RESULTS

Of the 2,120 families who provided consent in 1998, 1,334 (63%) participated in the tenth survey in 2008 when children were aged 10-11 years. Participation in data collection declined from 96.5% at the second to 63% at the tenth visit. Compared to those who were still participating at age 10 years, children lost to follow-up were more frequently living in single-parent, low-income, or SW households and their mothers were less educated or non-European immigrants at baseline.

Trends in poverty

Figure 1 shows that almost one quarter (24.4%) of five-month-old participating children were living in families with low income and 11.5% of families received SW payments at that time. The prevalence of poverty during childhood, whether measured by low income or by receipt of SW, decreased over time and, among our participants at 10 years, 14.6% lived in a low-income family and 2.7% were on social welfare. However, the two curves are not parallel and at the ages of 5 and 8 years, there was a reduction of families on SW while the number of families with a low income was larger.

Cumulative exposure to poverty

Latent class analysis identified four plausible classes of poverty trajectories (Figure 2): a group who always had sufficient income (75.9%), a group with increasing likelihood of poverty (9.1%), a group with decreasing likelihood of poverty (7.7%), and a group who always had a low income (7.3%).

Table 1 shows there were 15.9% of children who lived chronically in a low-income family during early childhood (<5 years) and 15.9% during middle childhood (5-10 years). About 8% of families received SW chronically during early childhood and 4.4% during middle childhood. The low SES indicator covers a larger proportion of families in chronic poverty: 22.5% of families were chronically in the lowest quintile of the SES score during early childhood and 23.0% during middle childhood. Over their entire 10 years of life (Figure 3), 12.2% of children lived chronically in a low-income family, 4.6% in families receiving SW chronically and 20.1% in families chronically in the lowest SES quintile.

Family characteristics

Children more likely to be exposed to low income (Table 2) were those with non-European immigrant mothers (OR=29.3, 95% CI 17.2-49.6), with mothers with less than a high school education (OR=20.3, 95% CI 12.9-31.9), or from single-parent families (OR=12.5, 95% CI 10.4-15.2). There is a statistically significant interaction between education and duration of follow-up, indicating that the chances of falling into low-income categories vary with these covariates.

However, trajectories of exposure to low income (Table 3) show that children from chronically poor families were more likely to come from single-parent rather than two-parent families (46.7% versus 7.0%), to have mothers with less than a high school diploma (28.4% versus 6.7%), and to have non-European immigrant mothers (20.4% versus 9.2%).

DISCUSSION

We examined exposure to poverty of children from the QLSCD birth cohort from birth to 10 years old using three measures of poverty: the low income cut-off from Statistics Canada (LICO), social welfare (SW), and SES quintiles. We also explored family characteristics according to different duration and trajectories of poverty. From birth until 10 years of age, there was a reduction in the proportion of children in a family living under LICO, except at 5, 6 and 8 years of age when it increased. This reduction was more important for families receiving SW. Almost a quarter of children in the study experienced some periods of poverty during those years, with 7.3% experiencing chronic poverty. Although many families (7.7%) exited poverty during these years, there were even more (9.1%) who entered into poverty. Given the well-known, long-term impact of early poverty, the health of these children could be jeopardized for the rest of their lives from this early exposure to the deleterious living conditions associated with poverty. (6,7,13,15,45-48)

Although there was a general reduction in child poverty in the province of Quebec from 2002 to 2006, (27,32,33,49,50) we did not see a corresponding reduction for QLSCD children during this period. In 2003, 2004 and 2006 (i.e., at 5, 6 and 8 years of age), there was an increasing proportion of children from this cohort who lived in a poor family. Comparing our data with those from Quebec overall is difficult since the latter are for children less than 18 years whereas our data examined each age separately. Only for the year 2008, when the children were 10 years of age, did we observe a greater reduction in the level of child poverty, as shown in Figure 1. This reduction of the proportion of children living in poverty might result from attrition given that each year the participants who left the study were more likely to be the poorest. However, the weighing of data should reduce this problem.

The three measures of poverty that we examined demonstrated similar patterns of exposure to child poverty and showed that a high proportion of children are exposed to poverty very early on. Many are exposed to chronic poverty. The low SES index appears to identify a larger proportion of chronically poor families than the LICO or the SW poverty indicators. Interestingly, few poor families are dependent on SW, a last-resort source of income, which implies that poverty affects a high proportion of working families. That a higher proportion of families stopped receiving SW compared to those coming out of a low-income status when their child was 4 to 8 years old (Figure 1) might be due to the return to work of mothers when their child began school. This would mean that their income from their work was not sufficient to lift them out of poverty. The greater reduction in the number of families with

children on SW might also result from a lower participation of these families in the study. Again, the weighting of data should limit this effect, and it should be noted that this greater reduction was seen only during specific years.

Regardless of the poverty indicator examined, family characteristics are quite similar and it appears that children of non-European immigrant and of single-parent households are the most susceptible to growing up in poverty conditions. A low level of maternal education is also strongly associated with living in poverty. These are characteristics usually observed in other studies of family poverty. (5,15,18,51-55) Being a single parent or a newcomer in a foreign country involves much stress, and living in poverty significantly increases the experience of stress, which can affect parental abilities. (56-59) Poor children can also experience stress themselves, which can be detrimental to their health and development. (4,18,56,58-67)

During the study period (1998-2008), diverse family policies were implemented at the Quebec and federal levels, such as a subsidized day care program, longer parental leaves, and a child benefit program. (27,50) However, these programs cannot explain completely the decreasing prevalence of QLSCD child poverty. Given that children from the QLSCD were born in 1997-98, they might not have benefitted from these new programs as these were developped later and were oriented mostly toward preschool children. Yet these programs probably contributed to reducing the percentage of children living in poverty in the province. (27,32,33,50) Other countries, such as the Scandinavian countries, have been more successful in reducing their proportion of poor children. Through different fiscal and social policies, their child poverty rates ranged from 3-5% in 2007, while in Canada and Quebec in that same year, there were still 13% of households with children under 18 years living in poverty. (5,18,68)

Strengths and limitations

This is the first study to follow over 10 years a large group of children from a representative sample of Quebec single births, which allowed for defining poverty trajectories. The participation rate was very high for the first 5 years and remained higher than or equal to other longitudinal studies of children. (69,70) One limitation of this study is that annual household income and its sources are self-reported. Moreover, family income does not provide information on other potential financial resources. Another limitation is that each year, participants leaving the study were mainly the poorest, least educated, and immigrants, although the weighting of data should reduce this problem. However, despite this weighting of data, these longitudinal data are not representative of Quebec children for this age.

CONCLUSIONS

Our study provides a unique opportunity to examine exposure to poverty at different ages during childhood. Although it is well known that poverty, especially during the preschool period, is associated with higher risk of chronic diseases during adulthood, (6-11,13) this early period of life is still affected by poverty for many children. According to the OECD (Organisation for Economic Cooperation and Development), a higher percentage of American and Canadian children live in poverty compared to other age groups of the population. (68) Poverty is costly and reducing poverty among our children must be seen as an investment in our future. (20,21,71) Policies that focus on young children are needed to attenuate these inequities. Future research must examine pathways and mechanisms on how "poverty gets under the skin". There should also be more evaluative research on effective programs and policies to reduce child poverty permanently. To ensure the future of our children, programs and policies that efficiently end child poverty are required.

Received: January 10, 2012

Accepted: April 26, 2012

REFERENCES

(1.) Chen E, Martin AD, Matthews KA. Trajectories of socioeconomic status across children's lifetime predict health. Pediatrics 2007;120(2):e297-e303.

(2.) Seguin L, Nikiema B, Gauvin L, Zunzunegui MV. Duration of poverty and child health in the Quebec Longitudinal Study of Child Development: Longitudinal analysis of a birth cohort. Pediatrics 2007;119(5):e1063-e70.

(3.) Spencer N. Poverty and Child Health, 2nd ed. Oxford, UK: Radcliffe Medical Press, 2000.

(4.) Spencer N, Blackburn C. Prevalence and social patterning of limiting long-term illness/disability in children and young people under the age of 20 years in 2001: UK census-based cross-sectional study. Child: Care, Health & Development 2010;36(4):566-73.

(5.) UNICEF. An overview of child well-being in rich countries. Innocenti Report Card 7. Florence, Italy: UNICEF, Innocenti Research Centre, 2007.

(6.) Adler N, Stewart J. Health disparities across the lifespan: Meaning, methods and mechanisms. Ann NY Acad Sci 2010;1186(The Biology of Disadvantage): 5-23.

(7.) Braveman P, Barclay C. Health disparities beginning in childhood: A life-course perspective. Pediatrics 2009;124:S163-S175.

(8.) Braveman PA, Egerter SA, Mockenhaupt RE. Broadening the focus. The need to address the social determinants of health. Am J Prev Med 2011;40:S4-S18.

(9.) Pollitt RA, Kaufman JS, Rose KM, Diez-Roux AV, Zeng D, Heiss G. Early-life and adult socioeconomic status and inflammatory risk markers in adulthood. Eur J Epidemiol 2007;22:55-66.

(10.) Conroy K, Sandel M, Zuckerman B. Poverty grown up: How childhood socioeconomic status impacts adult health. J Dev Behav Pediatr 2010;31:154-60.

(11.) Harper S, Lynch J, Davey Smith G. Social determinants and the decline of cardiovascular diseases: Understanding the links. Annu Rev Public Health 2011;32:39-69.

(12.) Pollitt RA, Rose KM, Kaufman JS. Evaluating evidence for models of life course socioeconomic factors and cardiovascular outcomes: A systematic review. BMC Public Health 2005;5:7-19.

(13.) Cohen S, Janicki-Deverts D, Chen E, Matthews KA. Childhood socioeconomic status and adult health. Ann NY Acad Sci 2010;1186(The Biology of Disadvantage): 37-55.

(14.) Guo G, Harris KM. The mechanisms mediating the effects of poverty on children's intellectual development. Demography 2000;37(4):431-47.

(15.) Kaplan GA, Turrell G, Lynch JW, Everson SA, Helkala EL, Salonen JT. Childhood socioeconomic position and cognitive function in adulthood. Int J Epidemiol 2001;30(2):256-63.

(16.) Richards M, Hardy R, Kuh D, Wadsworth EJ. Birthweight, postnatal growth and cognitive function in a national UK birth cohort. Int J Epidemiol 2002;31:342-48.

(17.) Yeung WJ, Linver MR, Brooks-Gunn J. How money matters for young children's development: Parental investment and family processes. Child Development 2002;73(6):1861-79.

(18.) Campaign 2000 RCoCaFPiC. Reduced poverty=Better health for all. Toronto, ON, 2010.

(19.) CCSD. The Canadian Fact Book on Poverty-2000. Ottawa, ON: Canadian Council on Social Development, 2000.

(20.) National Council of Welfare. The cost of poverty. Ottawa: National Council of Welfare, 2002.

(21.) National Council of Welfare. Poverty profile. Ottawa: National Council of Welfare, 2010.

(22.) Campaign 2000 Rc. Family security in insecure times: The case for a poverty reduction strategy in Canada. Toronto, 2008.

(23.) Dixon J, Macarov D. Poverty, A Persistent Global Reality. London and New York: Routledge, 1998.

(24.) Frechet G, Gauvreau D, Poirier J. Statistiques sociales, pauvrete et exclusion sociale. Perspectives quebecoises, canadiennes et internationales. Montreal, QC: Les Presses de l'Universite de Montreal, 2011.

(25.) Frechet G, Lanctot P, Morin A. Prendre la mesure de la pauvrete. Proposition d'indicateurs de pauvrete, d'inegalites et d'exclusion sociale afin de mesurer les progres realises au Quebec. Quebec, 2009.

(26.) Braveman PA, Cubbin C, Egerter S, Chideya S, Marchi KS, Metzler M, et al. Socioeconomic status in health research. One size does not fit all. JAMA 2005;294(22):2879-88.

(27.) Noel A. Une lutte inegale contre la pauvrete et l'exclusion sociale. In: Fahmy M (Ed.), L'etat du Quebec 2011. Montreal: Boreal, 2011.

(28.) Alkire S, Foster J. Understandings and Misunderstandings of Multidimensional Poverty Measurement. Oxford: University of Oxford, 2011.

(29.) Mowafi M, Khawaja M. Poverty. J Epidemiol Community Health 2005;59:260-64.

(30.) Oakes JM, Rossi PH. The measurement of SES in health research: Current practice and steps toward a new approach. Soc Sci Med 2003;56:769-84.

(31.) Singh-Manoux A, Clarke P, Marmot M. Multiple measures of socio-economic position and psychosocial health: Proximal and distal measures. Int J Epidemiol 2002;31:1192-99.

(32.) Rai'q H, Bernard P, Van den Berg A. Family type and poverty under different welfare regimes: A comparison of Canadian provinces and select European countries. In: Frechet G, Gauvreau D, Poirier J (Eds.), Statistiques sociales, pauvrete et exclusion sociale, Perspectives quebecoises, canadiennes et internationales. Montreal: Les Presses de l'Universite de Montreal, 2011.

(33.) Brochu P, Makdissi P, Tahoan L. Le Quebec, champion canadien de la lutte contre la pauvrete? In: Fahmy M (Ed.), L'etat du Quebec 2011. Montreal: Boreal, 2011.

(34.) Willms DJ, Shields M. A measure of socioeconomic status for the National Longitudinal Survey of Children. Ottawa: Atlantic Centre for Policy Research in Education, University of New Brunswick and Statistics Canada, 1996.

(35.) Jette M, DesGroseillers L. Survey description and methodology. In: Longitudinal Study of Child Development in Quebec (QLSCD 1998-2002), vol. 1, no. 1. Research Report. Quebec, QC: Institut de la statistique du Quebec, 2000.

(36.) Jette M. Survey description and methodology, Part I--Logistics and longitudinal data collections. In: Quebec Longitudinal Study of Child Development (QLSCD 1998-2002)--From Birth to 29 Months, vol. 2, no. 1. Quebec: Institut de la statistique du Quebec, 2002.

(37.) Jette M, Desgroseillers L. Survey description and methodology. In: Longitudinal Study of Child Development in Quebec (QLSCD 1998-2002), Vol 1, No 1. Quebec: Institut de la statistique du Quebec, 2000.

(38.) Thibault J, Jette M, Desrosiers H, Gingras L. Concepts, definitions and operational aspects, Part I--QLSCD: Overview of the study and the survey instruments for the 1999 and 2000 rounds. In: Quebec Longitudinal Study of Child Development (QLSCD 1998-2002), Vol. 2, No. 12. Quebec: Institut de la statistique du Quebec, 2002.

(39.) Giles P. Low income measurement in Canada. Ottawa: Minister of Industry, 2004.

(40.) Statistics Canada LICO. Low income cut-offs. What are the LICOs? Ottawa: Statistics Canada, 2009.

(41.) Desrosiers H, Simard M, Fontaine C. Qui est pauvre, qui ne l'est pas? Faible revenu et pauvrete subjective chez les jeunes familles. Montreal: Institut de la statistique du Quebec, 2008.

(42.) Shewell H. Canada. In: Dixon J, Dixon J, Macarov D (Eds.), Poverty: A Persistent Global Reality. New York, NY: Routledge, 1998.

(43.) Statistics Canada. National occupational classification for statistics. Ottawa: Statistics Canada, 2006.

(44.) Gibbings JC. Calculation of SES from information collected. In: Etude Longitudinale du Developpement des Enfants du Quebec [ELDEQ Quebec Children's Survey]. Unpublished manuscript. Fredericton, NB: Canadian Research Institute for Social Policy (CRISP), University of New Brunswick, 2009.

(45.) Braveman P, Egerter S, Williams DR. The social determinants of health: Coming of age. Ann Rev Public Health 2011;32:381-98.

(46.) Luo Y, Waite LJ. The impact of childhood and adult SES on physical, mental, and cognitive well-being in later life. J Gerontol 2005;60B(2):S93-S101.

(47.) Lynch J, Davey Smith G. A life course approach to chronic disease epidemiology. Annu Rev Public Health 2005;26:1-35.

(48.) Poulton R, Caspi A, Milne B, Thomson W, Taylor A, Sears M, et al. Association between children's experience of socioeconomic disadvantage and adult health: A life-course study. The Lancet 2002;360:1640-45.

(49.) Barayandema A, Frechet G, Lecheaume A, Savard F. La pauvrete, les inegalites et l'exclusion sociale au Quebec : vers l'horizon 2013. Etat de situation 2011. Montreal, 2011.

(50.) Plante C, Van den Berg A. How much poverty can't the government be blamed for? A counterfactual decomposition of poverty rates in Canada's largest provinces. In: Frechet G, Gauvreau D, Poirier J (Eds.), Statistiques sociales, pauvrete et exclusion sociale. Perspectives quebecoises, canadiennes et internationales. Montreal: Les Presses de l'Universite de Montreal, 2011.

(51.) American Academy of Pediatrics CoPR. Race/ethnicity, gender, socioeconomic status--research exploring their effects on child health: A subject review. Pediatrics 2000;105(6):1349-51.

(52.) Chen E, Matthews KA, Boyce WT. Socioeconomic differences in children's health: How and why do these relationships change with age? Psychological Bull 2002;128:295-329.

(53.) Malat J, Oh JH, Hamilton MA. Poverty experience, race, and child health. Public Health Rep 2005;120:442-47.

(54.) Spencer N. Maternal education, lone parenthood, material hardship, maternal smoking, and longstanding respiratory problems in childhood: Testing a hierarchical conceptual framework. J Epidemiol Community Health 2005;59:842-46.

(55.) UNICEF. The Children Left Behind: A league table of inequality in child wellbeing in the world's rich countries. Florence: UNICEF, Innocenti Research Centre, 2010.

(56.) Brooks-Gunn J, Duncan GJ. The effects of poverty on children. The Future of Children and Poverty 1997;7:55-71.

(57.) Duncan GJ, Brooks-Gunn J. Consequences of Growing Up Poor. New York: Russell Sage Foundation, 1997.

(58.) Lupien SJ, King S, Meaney MJ, McEwen BS. Child's stress hormone levels correlate with mother's socioeconomic status and depressive state. Biol Psychiatry 2000;48(10):976-80.

(59.) Petterson SM, Albers AB. Effects of poverty and maternal depression on early child development. Child Dev 2001;72(6):1794-813.

(60.) Evans GW, Kim P. Childhood poverty and health. Cumulative risk exposure and stress dysregulation. Psychological Sci 2007;18(11):953-57.

(61.) Evans GW, Pilyoung K. Multiple risk exposure as a potential explanatory mechanism for the socioeconomic status-health gradient. Ann NY Acad Sci 2010;1186(The Biology of Disadvantage):174-89.

(62.) Korzyrskyj AL, Kendall GE, Jacoby P, Zubrick SR. Association between socioeconomic status and the development of asthma: Analysis of income trajectories. Am J Public Health 2010;100(3):540-46.

(63.) Najman JM, Hayatbakhsh MR, Clavarino A, Bor W, O'Callaghan MJ, Williams GM. Family poverty over the early life course and recurrent adolescent and young adult anxiety and depression: A longitudinal study. Am J Public Health 2010;100(9):1719-23.

(64.) Phipps S. The impact of poverty on health. Ottawa: Canadian Population Health Initiative, Canadian Institute for Health Information, 2003.

(65.) Pickering T. Cardiovascular pathways: Socioeconomic status and stress effects on hypertension and cardiovascular function. Ann NY Acad Sci 1999;896(1):262-77.

(66.) Pulkki L, Keltikangas-Jarvinen L, Ravaja N, Viikari J. Child-rearing attitudes and cardiovascular risk among children: Moderating influence of parental socioeconomic status. Prev Med 2003;36:55-63.

(67.) Wells NM, Evans GW, Beavis A, Ong AD. Early childhood poverty, cumulative risk exposure, and body mass index trajectories through young adulthood. Am J Public Health 2010;100(12):2507-12.

(68.) OECD. Growing unequal?: Income distribution and poverty in OECD countries. Geneva, Switzerland: OECD, 2008.

(69.) Hansen K, Jones E, Joshi H, Budge D. Millennium Cohort Study Fourth Survey: A User's Guide to Initial Findings, 2nd Edition. London, England: Centre for Longitudinal Studies, Institute of Education, University of London, 2010.

(70.) Michaud S. The National Longitudinal Survey of Children and Youth Overview and Changes after Three Cycles. Special Issue on Longitudinal Methodology, Canadian Studies in Population 2001;28(2):391-405.

(71.) National Council of Welfare. The dollars and sense of solving poverty. Ottawa: National Council of Welfare, 2011.

Louise Seguin, MD, MPH, [1-4] Beatrice Nikiema, MD, MSc, [2,4] Lise Gauvin, PhD, [1,3-5] Marie Lambert, * MD, [6] Mai Thanh Tu, PhD, [1,2,4] Lisa Kakinami, PhD, [7] Gilles Paradis, MD, MSc [7,8]

Author Affiliations

[1.] Department of Social and Preventive Medicine, Universite de Montreal, Montreal, QC

[2.] Public Health Research Institute of Universite de Montreal (PHRIUM/IRSPUM), Montreal, QC

[3.] Lea-Roback Research Centre on Social Inequalities in Health, Montreal, QC

[4.] International Network for Research on Inequalities in Child Health (INRICH), Montreal, QC

[5.] Research Centre of the Centre hospitalier de l'Universite de Montreal (RCUHM/CRCHUM), Montreal, QC

[6.] Department of Paediatrics, Universite de Montreal and Centre Hospitalier Universitaire Sainte-Justine, Montreal, QC

[7.] Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC

[8.] Institut national de sante publique du Quebec, Montreal, QC

* Deceased

Correspondence: Dr. Louise Seguin, Department of Social and Preventive Medicine, Universite de Montreal, P.O. Box 6128, Montreal, QC H3C 3J7, Tel: 514-343-7665, Fax: 514-343-5645, E-mail: Louise.Seguin@umontreal.ca

Acknowledgements of support: This study was funded by the Canadian Institutes of Health Research (CIHR) Grant Number 00309MOP-123079. Data were collected by the Institut de la Statistique du Quebec, Direction Sante Quebec. The IRSPUM and CRCHUM received infrastructure funding from the Fonds de la Recherche en Sante du Quebec. LG holds a CIHR/CRPO Applied Public Health Chair on Neighbourhoods, Lifestyle, and Healthy Body Weight. GP holds a CIHR Applied Public Health Research Chair. MTT is funded by a postdoctoral CIHR fellowship (CIHR #181755) and by a Young Investigator Award from the Brain and Behavior Research Foundation. These funding agencies were not involved in the study design, data analyses, data interpretation or manuscript writing and submission processes.

Conflict of Interest: None to declare.
Table 1. Duration of Exposure to Low Income (Below LICO ([dagger])),
Social Welfare and Low SES During Early and Middle Childhood, Among
1,121 Children Who Participated in All Study Rounds of the Quebec
Longitudinal Study of Child Development,
1998-2008

                                           Low Income   Social Welfare
                                               n%             n%

Number of study periods spent
in low economic or social
position
  During early childhood         0         735 (65.5)     952 (84.9)
    (before 5 years of age)      1-2       175 (15.6)      74 (6.6)
                                 3-4       179 (15.9)      86 (7.7)
                                 Missing    34 (3.0)       10 (0.9)
  During middle childhood        0         760 (67.8)    1032 (92.1)
    (5-10 years of age)          1-2       162 (14.5)      35 (3.1)
                                 3-5       179 (15.9)      49 (4.4)
                                 Missing    20 (1.8)       5 (0.5)

                                           Lowest SES
                                            Quintile
                                               n%

Number of study periods spent
in low economic or social
position
  During early childhood         0         705 (62.9)
    (before 5 years of age)      1-2       152 (13.6)
                                 3-4       252 (22.5)
                                 Missing    12 (1.1)
  During middle childhood        0         696 (62.1)
    (5-10 years of age)          1-2       155 (13.8)
                                 3-5       258 (23.0)
                                 Missing    12 (1.1)

([dagger]) LICO = Low Income Cut-offs from Statistics Canada.

Table 2. Changes in Exposure to Low Income (Below LICO ([dagger]))
During the First 10 Years of Life According to Maternal
Characteristics at Baseline, Quebec Longitudinal Study of Child
Development, 1998-2008

                                                 Model 1
                                               OR (95% CI)

Intercept                                    0.14 (0.12-0.18)
Time                                         0.90 (0.89-0.92)
Family type, past 12 months
  Two-parent family
  Single-parent family
Maternal immigration status
  Canadian-born or European immigrant
  Non-European immigrant
Maternal education at baseline
  University
  High school, vocational and trade school
  < high school
Immigration status * time
High school education * time
< high school education * time

                                                  Model 2
                                                OR (95% CI)

Intercept                                    0.10 (0.08-0.12)
Time                                         0.87 (0.85-0.88)
Family type, past 12 months
  Two-parent family                           1.00
  Single-parent family                       11.26 (9.34-13.57)
Maternal immigration status
  Canadian-born or European immigrant
  Non-European immigrant
Maternal education at baseline
  University
  High school, vocational and trade school
  < high school
Immigration status * time
High school education * time
< high school education * time

                                                   Model 3
                                                 OR (95% CI)

Intercept                                     0.00 (0.00-0.00)
Time                                          0.87 (0.85-0.88)
Family type, past 12 months
  Two-parent family                           1.00
  Single-parent family                       12.47 (10.34-15.04)
Maternal immigration status
  Canadian-born or European immigrant         1.00
  Non-European immigrant                     18.34 (10.96-30.69)
Maternal education at baseline
  University                                  1.00
  High school, vocational and trade school    4.54 (3.03-6.82)
  < high school                              28.00 (18.32-42.80)
Immigration status * time
High school education * time
< high school education * time

                                                   Model 4
                                                 OR (95% CI)

Intercept                                     0.00 (0.00-0.00)
Time                                          0.94 (0.87-1.00)
Family type, past 12 months
  Two-parent family                           1.00
  Single-parent family                       12.56 (10.38-15.20)
Maternal immigration status
  Canadian-born or European immigrant         1.00
  Non-European immigrant                     29.25 (17.24-49.62)
Maternal education at baseline
  University                                  1.00
  High school, vocational and trade school    2.92 (1.90-4.49)
  < high school                              20.33 (12.94-31.95)
Immigration status * time                     0.88 (0.84-0.94)
High school education * time                  1.13 (1.09-1.17)
< high school education * time                1.09 (1.05-1.14)

([dagger]) LICO = Low Income Cut-offs from Statistics Canada.

Table 3. Trajectories of Low Income (Below LICO ([dagger])) According
to Maternal Characteristics at Baseline, Quebec Longitudinal Study of
Child Development, 1998-2008

                                      Maternal Immigration Status

                                     Canadian-born/   Non-European
                                        European       Immigrant
                                       Immigrant

                                         n (%)           n (%)

Classes of poverty trajectory                              *
  Stable non-poor                      722 (70.5)      43 (44.1)
  Decreasing likelihood of poverty      99 (9.7)       25 (26.0)
  Increasing likelihood of poverty      85 (8.3)        5 (4.8)
  Stable poor                           94 (9.2)       20 (20.4)
  Missing                               24 (2.3)        4 (4.6)

                                      Maternal Education Level at
                                                Baseline

                                      At Least        No High
                                     High School   School Diploma

                                        n (%)          n (%)

Classes of poverty trajectory                            *
  Stable non-poor                    705 (74.9)      60 (33.4)
  Decreasing likelihood of poverty    87 (9.3)       37 (20.6)
  Increasing likelihood of poverty    65 (6.9)       24 (13.6)
  Stable poor                         63 (6.7)       51 (28.4)
  Missing                             21 (2.2)        7 (4.0)

                                     Type of Family at Baseline

                                     Two-parent   Single-parent

                                       n (%)          n (%)

Classes of poverty trajectory                           *
  Stable non-poor                    750 (73.0)     13 (14.9)
  Decreasing likelihood of poverty   106 (10.3)     17 (18.8)
  Increasing likelihood of poverty    84 (8.2)       3 (3.7)
  Stable poor                         72 (7.0)      41 (46.7)
  Missing                             15 (1.5)      14 (15.8)

* p<0.001.

([dagger]) LICO = Low Income Cut-offs from Statistics Canada.

Figure 3. Duration of exposure to low income, social welfare
and low SES over the first 10 years of life, among
1121 children who participated in all study rounds,
QLSCD, 1998-2008

             None   1 to 5 periods   6 to 9 periods   Missing

Low income   57.1       30.5              12.2
Social
welfare      82.9       11.1               4.6
Lowest SES
quintile     54.2       24.6              20.1

Note: Table made from bar graph.


联系我们|关于我们|网站声明
国家哲学社会科学文献中心版权所有