scholarly journals Socioeconomic status and birth weight: comparison of an area-based measure with the Registrar General's social class

1999 ◽  
Vol 53 (8) ◽  
pp. 495-498 ◽  
Author(s):  
N. Spencer ◽  
S. Bambang ◽  
S. Logan ◽  
L. Gill
Keyword(s):  
Socioeconomic Status ◽  
Birth Weight ◽  
Social Class

A Mixed‐Methods Examination of Counselors' Social Class and Socioeconomic Status Perceptions

2021 ◽  
Vol 60 (2) ◽  
pp. 117-136
Author(s):  
Jennifer M. Cook ◽  
Lee Za Ong ◽  
Olga Zavgorodnya
Keyword(s):  
Socioeconomic Status ◽  
Mixed Methods ◽  
Social Class

scholarly journals Effect of early determinants on adolescent fat-free mass

2020 ◽  
Vol 54 ◽  
pp. 113
Author(s):  
Raina Jansen Cutrim Propp Lima ◽  
Rosângela Fernandes Lucena Batista ◽  
Cecília Claudia Costa Ribeiro ◽  
Vanda Maria Ferreira Simões
Keyword(s):  
Physical Activity ◽  
Socioeconomic Status ◽  
Birth Weight ◽  
Physical Activity Level ◽  
Structural Equation ◽  
Activity Level ◽  
Fat Free Mass ◽  
Equation Modeling ◽  
Adolescent Physical Activity ◽  
Negative Effect

OBJECTIVE: To analyze the effects of early determinants on adolescent fat-free mass. METHODS: A c ohort s tudy w ith 5 79 a dolescents e valuated a t b irth a nd a dolescence i n a birth cohort in São Luís, Maranhão. In the proposed model, estimated by structural equation modeling, socioeconomic status (SES) at birth, maternal age, pregestational body mass index (BMI), gestational smoking, gestational weight gain, type of delivery, gestational age, sex of the newborn, length and weight at birth, adolescent socioeconomic status, “neither study/nor work” generation, adolescent physical activity level and alcohol consumption were tested as early determinants of adolescent fat-free mass (FFM). RESULTS: A higher pregestational BMI resulted in higher FFM in adolescence (Standardized Coefficient, SC = 0.152; p < 0.001). Being female implied a lower FFM in adolescence (SC = -0.633; p < 0.001). The negative effect of gender on FFM was direct (SC = -0.523; p < 0.001), but there was an indirect negative effect via physical activity level (SC = -0.085; p < 0.001). Women were less active (p < 0.001). An increase of 0.5 kg (1 Standard Deviation, SD) in birth weight led to a gain of 0.25 kg/m2 (0.106 SD) in adolescent FFM index (p = 0.034). Not studying or working had a negative effect on the adolescent’s FFM (SC = -0.106; p = 0.015). Elevation of 1 SD in the adolescent’s physical activity level represented an increase of 0.5 kg/m2 (0.207 SD) in FFM index (p < 0.001). CONCLUSIONS: The early determinants with the greatest effects on adolescent FFM are gender, adolescent physical activity level, pregestational BMI, birth weight and belonging to the “neither-nor” generation.

scholarly journals Predictive Validity of the Bayley-III Cognitive Scores at 6 Months for Cognitive Outcomes at 24 Months in Very-Low-Birth-Weight Infants

2021 ◽  
Vol 9 ◽  
Author(s):  
Tzu-Yu Liu ◽  
Jui-Hsing Chang ◽  
Chun-Chih Peng ◽  
Chyong-Hsin Hsu ◽  
Wai-Tim Jim ◽  
...  
Keyword(s):  
Socioeconomic Status ◽  
Birth Weight ◽  
Cognitive Function ◽  
Low Birth Weight ◽  
Predictive Validity ◽  
Predictive Value ◽  
Very Low Birth Weight ◽  
Muscle Tone ◽  
Cognitive Outcomes ◽  
Cognitive Score

Purpose: To assess the predictive validity of the Bayley Scales of Infant and Toddler Development, Third Edition (Bayley-III) cognitive scores at 6 months of corrected age (CA) for cognitive outcomes at 24 months of CA in very-low-birth-weight (VLBW) infants and investigate the predictors of change in cognitive outcomes.Methods: We retrospectively evaluated VLBW children enrolled in the Taiwan Premature Infant Follow-up Network between 2010 and 2015 and completed the Bayley-III at CA of 6 and 24 months. The predictive validity of the cognitive performance at 6-month CA for the cognitive outcomes at 24-month CA was analyzed. The positive and negative predictive factors were also evaluated using logistic regression. Cut-off scores of &lt;70 and &lt;85 were used to identify lower functioning groups based on the Bayley-III definition.Results: A total of 2,972 VLBW children, born with a mean weight of 1116.4 ± 257.5 g and mean gestational age of 29.0 ± 2.8 weeks, were evaluated. A cognitive score of &lt;70 at 6-month CA had a positive predictive value (PPV) of 27.4% (95% confidence interval [CI]: 19.2–35.7%) for a cognitive score of &lt;70 at 24-month CA, while the negative predictive value (NPV) was 97.3% (95% CI: 96.7–97.9%). A cut-off score of 85 had a PPV of 33.6% (95% CI: 28.1–39.0%) and an NPV of 87.7% (95% CI: 86.4–88.9%). Abnormal muscle tone at 6 months was a risk factor for cognitive function decline at 24 months for both Bayley-III cognitive cut-off scores: scores of 70 (adjusted odds ratio [AOR]: 2.8; 95% CI: 1.5–5.5) and 85 (AOR: 2.6; 95% CI: 1.6–4.1). Lower maternal socioeconomic status was associated with a worsening of the cognitive function in infants at 24 months who scored ≥85 at 6 months (AOR: 1.6; 95% CI: 1.2–2.0).Conclusion: Subnormal Bayley-III cognitive scores at 6-month CA were not predictive of subnormal cognitive function at 24-month CA. In children with normal cognition during early infancy, abnormal muscle tone and lower maternal socioeconomic status may influence the cognitive developing process; this highlighted the importance of early identification of high risk infants and complete preterm infant-associated public health policies to promote an improved neurodevelopmental outcome.

scholarly journals A comparative analysis of determinants of low birth weight and stunting among under five children of adolescent and non-adolescent mothers using 2015/16 Tanzania Demographic and Health Survey (TDHS)

BMC Nutrition ◽  
2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Ramadhani H. Mtongwa ◽  
Charles Festo ◽  
Ester Elisaria
Keyword(s):  
Socioeconomic Status ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Adolescent Mothers ◽  
Maternal Age ◽  
Maternal Obesity ◽  
Maternal Body Mass Index ◽  
Child Birth ◽  
Maternal Undernutrition ◽  
Children Under 5

Abstract Background Tanzania is one of the Sub-Saharan African country with nearly 12 out of 60 million people being adolescent. The prevalence of child marriage is higher with one out of every three girls being married before reaching their 18th birthday, 5 % being married by the age of 15, and 31% by the age of 18 years. Literature shows early pregnancy is associated with Low Birth Weight (LBW) and stunting among children under 5 years. This paper explores variation and factors associated with low birth weight and stunting among children born by adolescent and non-adolescent mothers. Methods Data from 13,266 women with children under 5 years collected as part of the 2015/2016 TDHS was re-analyzed using STATA version 14 software while accounting for survey design. A total of 6385 women (of which 7.2% were adolescent) and 8852 women (of which 6.7% were adolescent) were involved in the analysis of child birth weight and stunting respectively. Descriptive statistics stratified by maternal age was conducted with LBW and stunting as outcome variables followed by logistic regressions models controlling for confounding variables. Results The proportion of obese or overweight adolescent and non-adolescent mothers was 11.8 and 36.5% respectively. Antenatal care (ANC) attendance, areas of residence and social economic status were very similar in the two maternal age groups. Non- adolescent mothers had reduced odds of giving birth to LBW babies compared to adolescent mothers (Adjusted Odds Ratio (AOR) = 0.34; 95% CI: 0.22–0.50). Maternal undernutrition (AOR = 2.29; 95% CI: 1.43–3.67), being divorced, separated or widowed (AOR = 1.76; 95% CI: 1.24–2.50) and having at least four ANC visits (AOR = 0.64; 95% CI: 0.49–0.83) were significantly associated with reduced odds of having a LBW. Child stunting was not associated with maternal age. Maternal high socioeconomic status (AOR = 0.69; 95% CI: 0.57–0.84) and maternal obesity or overweight (AOR = 0.77; 95% CI: 0.64–0.92) were negatively associated with stunting. Child birth weight, sex, and age were significantly associated with stunting. Conclusion Maternal age was a predictor of LBW but not stunting. ANC attendance and not living with a spouse increase the risk of LBW babies. Stunting was associated with low maternal body mass index (BMI), low socioeconomic status, child birth weight, gender, and age. A multi-sectoral approach is needed to address child nutrition problems with teenagers ‘specific intervention that offer emotional support, and health education during pregnancies for improving immediate and later life child birth outcomes.

scholarly journals School Selection and the Social Class Divide: How Tracking Contributes to the Reproduction of Inequalities

2018 ◽  
Vol 45 (3) ◽  
pp. 477-490 ◽  
Author(s):  
Anatolia Batruch ◽  
Frédérique Autin ◽  
Fabienne Bataillard ◽  
Fabrizio Butera
Keyword(s):  
Socioeconomic Status ◽  
Achievement Gap ◽  
Social Class ◽  
Social Inequalities ◽  
Social Classes ◽  
Selection Function ◽  
The Social ◽  
Role Of Teachers ◽  
School Selection

Selection practices in education, such as tracking, may represent a structural obstacle that contributes to the social class achievement gap. We hypothesized that school’s function of selection leads evaluators to reproduce social inequalities in tracking decisions, even when performance is equal. In two studies, participants (students playing the role of teachers, N = 99, or preservice and in-service teachers, N = 70) decided which school track was suitable for a pupil whose socioeconomic status (SES) was manipulated. Although pupils’ achievement was identical, participants considered a lower track more suitable for lower SES than higher SES pupils, and the higher track more suitable for higher SES than lower SES pupils. A third study ( N = 160) revealed that when the selection function of school was salient, rather than its educational function, the gap in tracking between social classes was larger. The selection function of tracking appears to encourage evaluators to artificially create social class inequalities.

scholarly journals Life-course socioeconomic differences and social mobility in preventable and non-preventable mortality: a study of Swedish twins

2019 ◽  
Vol 48 (5) ◽  
pp. 1701-1709 ◽  
Author(s):  
Malin Ericsson ◽  
Nancy L Pedersen ◽  
Anna L V Johansson ◽  
Stefan Fors ◽  
Anna K Dahl Aslan
Keyword(s):  
Socioeconomic Status ◽  
Social Class ◽  
Cause Of Death ◽  
Social Mobility ◽  
Low Socioeconomic Status ◽  
Causes Of Death ◽  
Life Time ◽  
Socioeconomic Differences ◽  
Low Socioeconomic ◽  
Preventable Mortality

Abstract Background Despite advances in life expectancy, low socioeconomic status is associated with a shorter lifespan. This study was conducted to investigate socioeconomic differences in mortality by comparing preventable with non-preventable causes of death in 39 506 participants from the Swedish Twin Registry born before 1935. Methods Childhood social class, own education, own social class and social mobility were used as separate indicators of socioeconomic status. These data were linked to the Swedish Cause of Death Register. Cause of death was categorized as preventable or non-preventable mortality according to indicators presented in the Avoidable Mortality in the European Union (AMIEHS) atlas. Using Cox proportional hazard models, we tested the association between the socioeconomic measures and all-cause mortality, preventable mortality and non-preventable mortality. Additional co-twin control analyses indicated whether the associations reflected genetic confounding. Results The social gradient for mortality was most prominent for the adult socioeconomic measures. There was a social gradient in both preventable mortality and non-preventable mortality, but with an indication of a moderately stronger effect in preventable causes of death. In analyses of social mobility, those who experienced life-time low socioeconomic status (SES) or downward social mobility had an increased mortality risk compared with those with life-time high SES and upward social mobility. Adjustments for genetic confounding did not change the observed associations for education, social class or social mobility and mortality. In the co-twin control analyses of reared-apart twins, the association between childhood social class and mortality weakened, indicating possible genetic influences on this association. Conclusions Our results indicate that there is an association between low adult socioeconomic status and increased mortality independent of genetic endowment. Thus, we do not find support for indirect social selection as the basis for mortality inequalities in Sweden

scholarly journals Iron profiles of preterm infants at two months of chronological age

2017 ◽  
Vol 56 (5) ◽  
pp. 277 ◽  
Author(s):  
Henny Adriani Puspitasari ◽  
Endang Windiastuti ◽  
Aryono Hendarto
Keyword(s):  
Socioeconomic Status ◽  
Birth Weight ◽  
Iron Deficiency ◽  
Preterm Infants ◽  
Low Socioeconomic Status ◽  
Ferritin Level ◽  
Educational Background ◽  
Deficiency Anemia ◽  
Chronological Age ◽  
Low Socioeconomic

Background Preterm infants are vulnerable to iron deficiency (ID) due to lack of maternal iron stores, repeated phlebotomy, and the body’s increased demand for iron during growth. The risk of ID increases at 2 months of age, when hemoglobin (Hb) levels start to decrease. Adequacy of body iron level is assessed by ferritin, serum iron (SI), transferrin saturation (Tfsat), total iron-binding capacity (TIBC), and Hb measurements.Objective To describe iron profiles in preterm infants at 2 months of chronological age (CA).Methods This cross-sectional study was conducted in 2-month-old infants, born at 32-36 weeks of gestational age, and who visited the Growth and Development Clinics at Cipto Mangunkusumo, Fatmawati, or Budi Kemuliaan Hospitals. Parental interviews and medical record reviews were done during the clinic visits. Complete blood count, blood smear, SI, TIBC, Tfsat, and ferritin level tests were performed.Results Eighty-three subjects were enrolled in this study. Most subjects were male (51%) and born to mothers >20 years of age (93%). Subjects’ birth weights ranged from 1,180 g to 2,550 g. The prevalence of iron deficiency anemia (IDA) was 6% and that of ID was 10%. The lowest Hb level found in IDA infants was 6.8 g/dL, while the lowest ferritin level was 8.6 ng/mL. Median values for the other tests were as follows: SI 48 µg/dL, TIBC 329µg/dL, and Tfsat 17%. Subjects with IDA were all male (5/5), mostly achieved more than twice their birth weight (4/5), were non-iron supplemented (3/5), born to mothers with low educational background (3/5), and of low socioeconomic status (3/5).Conclusion The prevalence of IDA is 6% and that of ID is 10%. Most subjects with ID and IDA have low SI, high TIBC, low Tfsat, and low ferritin level. Most of the all-male IDA subjects weigh more than twice their birth weight, are non-iron supplemented, and born to mothers with low educational background and low socioeconomic status.

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