Z-score growth reference data for Saudi preschool children.
Ontology highlight
ABSTRACT: Background
Assessment of growth using Z-score methods is important for clinical care and research, yet growth reference Z-score data for preschool Saudi children are not available.Objective
Establish Z-score tables and corresponding growth charts.Design
Uses data from a national survey in 2004-2005.Setting
Community-based random sample of preschool Saudi children.Subjects and methods
Raw data from the previous nationally representative sample were analyzed using the L, M, and S statistical methods to calculate Z-scores of growth.Main outcome measure(s)
Z-scores reference values for weight, length/height, head circumference, weight for length/height, and body mass index for age for boys and girls from birth to 60 months of age.Results
For 15 601 Saudi children (7896, 50.6 % boys) Z-score tables and graphs from birth to 60 months of age were derived for boys and girls. The tables and graphs include weight for age, length/height for age, head circumference for age, weight for length/height, and BMI for age.Conclusion
Z-score reference data on the growth of preschool Saudi infants and children is essential for healthcare and research.Limitation
Does not include regional variations.
SUBMITTER: El Mouzan MI
PROVIDER: S-EPMC6148975 | biostudies-literature |
REPOSITORIES: biostudies-literature
Similar Datasets
Project description:This study aimed to determine the risk factors of early childhood caries (ECC) among preschool children from eastern Saudi Arabia. In this cross-sectional study, 241 carers and their children from 10 daycares were recruited and asked to complete a questionnaire aimed at assessing their sociodemographic profile and oral health-related behaviors. This was followed by a dental examination of the children by two calibrated dentists. Caries status was recorded using the dmft index. Chi-square and logistic regression tests were used to analyze the data (p < 0.05). The mean dmft of the children was 4.39 (SD ± 4.25). According to logistic regression analysis, children who were bottle-fed between 7 and 12 months (Adjusted Odds Ratio (AOR): 0.110) or breastfed between 13 and 18 months (AOR: 0.028) were less likely to have ECC than those with a prolonged feeding duration (>18 months). Also, those with smoking carers (AOR: 0.176) were less likely to have ECC than those with nonsmoking carers. On the other hand, children who had working carers, mainly mothers, in the education sector (AOR: 11.105), were more likely to have ECC (p < 0.05). The risk factors associated with the presence of ECC among preschool children in eastern Saudi Arabia include the mother's occupation and the carer's smoking status, as well as feeding practices (particularly bottle feeding). These factors can be modified by encouraging carers to completely wean their children (particularly from the bottle) by 18 months of age and advising working mothers to perform tooth brushing for their children in the morning before they go to work and in the evening before the children go to bed.
| S-EPMC10454992 | biostudies-literature
Project description:ObjectiveAn annualised linear growth velocity (LGV) reference can identify groups of children at risk of growing poorly. As a single velocity reference for all preschool ages does not exist, we present an interim tool, derived from published, normative growth studies, for detecting growth faltering, illustrating its use in Nepali preschoolers.DesignThe WHO Child Growth Velocity Standard was adapted to derive 12-month increments and conjoined to the Tanner-Whitehouse Height Velocity Reference data yielding contiguous preschool linear growth annualised velocities. Linear restricted cubic spline regressions were fit to generate sex-specific median and standard normal deviate velocities for ages 0 through 59 months. LGV Z-scores (LGVZ) were constructed, and growth faltering was defined as LGVZ < –2.SettingUse of the reference was illustrated with data from Nepal’s Tarai region.ParticipantsChildren contributing the existing growth references and a cohort of 4276 Nepali children assessed from 2013 to 2016.ResultsFitted, smoothed LGV reference curves displayed monotonically decreasing 12-month LGV, exemplified by male/female annual medians of 26·4/25·3, 12·1/12·7, 9·1/9·4, 7·7/7·8 and 7/7 cm/years, starting at 0, 12, 24, 36 and 48 months, respectively. Applying the referent, 31·1 %, 28·6 % and 29·3 % of Nepali children <6, 6–11 and 12–23 months of age, and ∼6 % of children 24–59 months, exhibited growth faltering. Under 24 months, faltering velocities were more prevalent in girls (34·4 %) than boys (25·3 %) (P < 0·05) but comparable (∼6 %) in older preschoolers.ConclusionsA LGV reference, concatenated from extant data, can identify preschool groups at-risk of growth faltering. Application and limitations are discussed.
| S-EPMC10755438 | biostudies-literature
Project description:Background: Pre-school children use digital devices both at home and in kindergarten for communication. However, such technologies can also be used for creativity learning and entertainment. Technology usage might exert a negative impact on the psychosocial development of pre-school children, thus necessitating parental monitoring. Previous studies have recommended early intervention for pre-school children by decreasing the duration of digital devices, spending more time with the family, and participation in motor activities to avoid the ill effects of technology. Aim: To investigate the impact of digital device use on the behavioral and sleep scores of preschool children as perceived by parents in Saudi Arabia (SA). Method: This cross-sectional study was conducted across two regions in SA. It was ethically approved by the ethical review board of Imam Abdulrahman Bin Faisal University. The participants were randomly selected from well-baby hospital records, surveyed and interviewed to obtain data for the following measures: demographic data, technology usage, sleep disturbance scale, and behavior scale. Children with special needs or comorbidities were excluded from the study. Descriptive and multivariate regression analysis were done. Results: We recruited 288 children. Most did not attend schools (63.2%), 22.6% were in kindergarten, and 14.2% were in nursery schools. Smart phones were the most commonly used device by the children (42.4%). Most used the technology for 2-3 h/days (34%). Cartoons were the most commonly sought content (42%). The behavior scores for children aged 18-36 months showed a mean value of 5.1, 3.7, and 4.6 for surgency, negative affect, and effortful control, respectively. Children aged 3-5 years showed a mean value of 4.3, 4, and 4.7 for surgency, negative affect, and effortful control, respectively. Sleep disturbance scores for all children showed a mean value of 12.4, 3.5, 3.8, 8, 7.3, and 2.7 on disorders of initiating and maintaining sleep, sleep-breathing disorders, disorders of arousal, sleep-wake transition disorders, disorders of excessive somnolence, and sleep hyperhidrosis, respectively. The mean total sleep score was 37. Multivariate regression analysis showed significant positive relationship between surgency and three factors namely family income of 10,000-15,000 SR (t = 1.924, p = 0.045), fathers' bachelor's degrees (t = 2.416, p = 0.16), and owning a video game device (t = 2.826, p = 0.005<0.05). Negative affect was significantly associated with fathers' diploma level of education (t = 2.042, p = 0.042). Negative significant relationship between effortful control and fathers' secondary level of education (t = -2.053, p = 0.041). There was a significant negative relationship between effortful control and owning a TV and video game device (t = -2.35, -2.855, p = 0.043, 0.005<0.05, respectively). A significant positive relationship was found between child's sleeping score (worse sleep) and watching technology between 3 and 5 h (t = 2.01, p = 0.045), and mothers' unemployment status (t = 2.468, p = 0.014). Conclusion: In conclusion, technology use is associated with a negative impact on children sleep and behavior. Owning a digital device, using tablets, screen viewing for more than 3-5 h, and watching movies were significantly associated with negative child's behavior and sleep.
| S-EPMC8175968 | biostudies-literature
Project description:Height-for-age Z-score (HAZ) curves are widely used for detecting children with stunting. The aim of this study was to provide smoothed HAZ growth reference values and their curves for Pakistani children and adolescents aged 2-18 years. The prevalence of stunting in Pakistani children was determined. A total of 10,668 healthy Pakistani participants were included. Information related to age, sex, city of residence and height (cm) was used. Age- and sex-specific smoothed HAZ growth reference values and associated graphs were obtained using the lambda-mu-sigma (LMS) method. The prevalence of stunting was calculated by applying WHO 2007 and USCDC 2000 height-for-age references and local reference of the study population. In both sexes, the smoothed HAZ curves increased with age. For 2 and 3 years of age, the height values of the girls were greater than those of the boys. The boys were then taller than the girls. Comparing our median height (z = 0) growth reference data from WHO, USCDC and corresponding data from other countries, Pakistani children and adolescents have significantly different reference values than their counterparts in the reference group. A marked overestimation of the prevalence of stunting was observed (10.8% and 17.9% according to WHO and USCDC, respectively) compared to the local reference (3.0%). It is recommended that the prevalence of stunting in children and adolescents is determined by applying local height growth references to plan health strategies and treatments in the local population.
| S-EPMC9566739 | biostudies-literature
Project description:Initial participants were 79 children who were recruited from six preschool programs in the U.S. Full assessment data was available for 73 children (average age of 4 years 7 months), including demographic data (gender, ethnicity, financial need, language(s) spoken at home and special education status). Children?s math, repeating patterning, spatial and verbal skills were assessed at the beginning of the pre-kindergarten year. Assessments included the brief version of the Research-Based Early Mathematics Assessment, two measures of repeating patterning skills, three measures of spatial skills (the Block Design subtest of the Wechsler Preschool and Primary Scale of Intelligence, the Position in Space subtest of the Developmental Test of Visual Perception, and a Corsi Block Tapping Task), the Picture Vocabulary Test from the NIH Toolbox app and a backward letter span task. Near the end of the school year, their math knowledge was re-assessed using the same math measure, as was their memory span (forward and backward digit span task from the Wechsler Intelligence Scale for Children). Findings on the relations between patterning, spatial and math skills are published elsewhere (Rittle-Johnson et al., 2018) [1].
| S-EPMC6092477 | biostudies-other
Project description:PurposeThe purpose of the study was to determine whether distinct subgroups of preschool children with speech sound disorders (SSD) could be identified using a subgroup discovery algorithm (SUBgroup discovery via Alternate Random Processes, or SUBARP). Of specific interest was finding evidence of a subgroup of SSD exhibiting performance consistent with atypical speech motor control.MethodNinety-seven preschool children with SSD completed speech and nonspeech tasks. Fifty-three kinematic, acoustic, and behavioral measures from these tasks were input to SUBARP.ResultsTwo distinct subgroups were identified from the larger sample. The 1st subgroup (76%; population prevalence estimate = 67.8%-84.8%) did not have characteristics that would suggest atypical speech motor control. The 2nd subgroup (10.3%; population prevalence estimate = 4.3%-16.5%) exhibited significantly higher variability in measures of articulatory kinematics and poor ability to imitate iambic lexical stress, suggesting atypical speech motor control. Both subgroups were consistent with classes of SSD in the Speech Disorders Classification System (SDCS; Shriberg et al., 2010a).ConclusionCharacteristics of children in the larger subgroup were consistent with the proportionally large SDCS class termed speech delay; characteristics of children in the smaller subgroup were consistent with the SDCS subtype termed motor speech disorder-not otherwise specified. The authors identified candidate measures to identify children in each of these groups.
| S-EPMC4300961 | biostudies-literature
Project description:There is a lack of empirical, prospective human data on the gut microbiome and its relationship with growth, especially in low- and middle-income countries. We prospectively assessed the association between gut microbial diversity and short-term growth in a cohort of preschool children in Burkina Faso to better characterize whether there is any evidence that changes in gut microbial diversity may affect growth. Data were obtained from a randomized controlled trial evaluating the effect of antibiotic administration on gut microbial diversity in preschool children. We followed up the enrolled children for 35 days, with anthropometric measurements at baseline and day 35 and microbial diversity measured at baseline and day 9 (analytic sample, N = 155). We estimated linear mixed-effects regression models with household random intercepts to assess the association of Simpson's and Shannon's alpha diversity with measures of change in anthropometry (e.g., ponderal growth since baseline) and absolute anthropometric measurements (e.g., day 35 weight). We did not find evidence that alpha gut microbial diversity was associated with growth or absolute anthropometric measurements after adjusting for confounding variables. Effect estimates were close to the null (P ≥ 0.15 for all fully adjusted comparisons), with the association between Simpson's alpha diversity and day 35 height (cm) farthest from the null (coefficient = -0.03, 95% CI: -0.07, 0.01). The change in gut microbial diversity also was not associated with the change in anthropometry in crude or adjusted models. Future research is needed to explore whether gut diversity has an impact on growth over a longer time period, in both healthy and malnourished children.
| S-EPMC7695110 | biostudies-literature
Project description:ImportanceChild-directed mobile applications (apps) have been found to collect digital identifiers and transmit them to third-party companies, a potential violation of federal privacy rules. This study seeks to examine the differences in app data collection and sharing practices by evaluating the sociodemographic characteristics of the children who play them.ObjectiveTo examine data collection and sharing practices of 451 apps played by young children and to test associations with child sociodemographic characteristics.Design, setting, and participantsThis study used data from the baseline phase of the Preschooler Tablet Study, a prospective cohort study conducted from August 2018 to January 2020. This study used a population-based sample. A convenience sample of the parents of preschool-aged children was recruited from pediatric offices, childcare centers, social media posts, and an online participant registry. Eligibility criteria included (1) parent or guardian of a child aged 3 to 5 years, (2) parent or guardian who lived with the child at least 5 days per week, (3) participants who spoke English, and (4) a child who used an Android (Google LLC) device. All interactions with participants were through email, online surveys, and mobile device sampling.ExposuresSociodemographic characteristics were assessed by parental report.Main outcomes and measuresThis study tested the hypothesis that data transmissions to third-party domains are more common in apps played by children from low-socioeconomic-status homes. Child app usage was assessed via a mobile sampling app for an average of 9 days. Persistent identifier data transmissions to third-party domains were quantified for each app using an instrumented Android environment with monitoring of network traffic; for each child, the counts of total data transmissions were calculated, and the total third-party domains were detected for the apps they played.ResultsOur sample comprised 124 children who used Android devices (35 tablets, 89 smartphones; 65 girls [52%]; mean [SD] age, 3.85 [0.57] years; 87 non-Hispanic White [71%]). One hundred twenty of participating parents (97%) were women. Of 451 apps tested, 303 (67%) transmitted persistent identifiers to 1 to 33 third-party domains. Child data transmission counts ranged from 0 to 614 (median [interquartile range], 5.0 [1-17.5]) and third-party domain counts from 0 to 399 (4.0 [1-12.5]). In multivariable negative binomial regression models, higher transmission and third-party domain rates per app were positively associated with older age (rate ratio, 1.67 [95% CI, 1.20-2.33]; P = .002 and 1.69 [95% CI, 1.26-2.27]; P < .001, respectively) and lower parent educational attainment (eg, high school or General Educational Development or less rate ratio, 2.29 [95% CI, 1.20-4.39]; P = .003 and 2.05 [95% CI, 1.13-3.70]; P < .02, respectively), but not with household income.Conclusions and relevanceThis study found that apps used by young children had a high frequency of persistent identifier transmissions to third-party companies, suggesting that federal privacy rules are not being enforced. Older children, those with their own devices, or those from lower-education households may be at higher risk of potential privacy violations.
| S-EPMC7489394 | biostudies-literature
Project description:Oral Microbime on Saudi children before and after Meswak treatments
| PRJEB27276 | ENA
Project description:BackgroundPostterm pregnancy has been associated with higher risk of perinatal mortality and morbidity, but its long-term health effects on offspring are poorly understood.ObjectivesThe aim of the study was to investigate the prospective associations between maternal postterm pregnancy and adverse growth outcomes in children.MethodsThe Jiaxing Birth Cohort is part of a large population-based health surveillance system in China and recruited pregnant females resident in the Jiaxing area between 1999 and 2013; newborns were followed up for a median duration of 5.8 y until they went to school. Mother-child pairs with maternal gestational information and offspring's anthropometric data at 4-7 y old were included. Postterm pregnancy was defined as maternal gestational age ≥42 and <47 wk, and its associations with offspring obesity, overweight/obesity, and thinness during childhood were determined by using Poisson regression models.ResultsOf the 101,505 included mother-child pairs, 2369 (2.3%) children were born at postterm. Children born at postterm had significantly lower BMI-for-age z score, weight-for-age z score, and height-for-age z score than those born at term; the mean difference (95% CI) was -0.11 (-0.15, -0.06), -0.17 (-0.21, -0.13), and -0.16 (-0.20, -0.12), respectively. When comparing postterm with term pregnancy, the multivariable-adjusted RRs and 95% CIs among preschool-age children were 0.87 (0.68, 1.11) for obesity, 0.82 (0.72, 0.94) for overweight/obesity, and 1.18 (1.09, 1.28) for thinness, respectively. These risk estimates were robust in sensitivity analyses, but were attenuated in several subgroups stratified by age, sex, mode of delivery, and fetal distress.ConclusionsPostterm pregnancy was associated with a higher risk of thinness, and a lower risk of overweight/obesity, as well as lower growth parameters in preschool-age children. These findings imply that postterm pregnancy may impede the long-term growth of offspring.
| S-EPMC9348988 | biostudies-literature