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Anthropometric indices for non-pregnant women of childbearing age differ widely among four low-middle income populations.

ABSTRACT: BACKGROUND:Maternal stature and body mass indices (BMI) of non-pregnant women (NPW) of child bearing age are relevant to maternal and offspring health. The objective was to compare anthropometric indices of NPW in four rural communities in low- to low-middle income countries (LMIC). METHODS:Anthropometry and maternal characteristics/household wealth questionnaires were obtained for NPW enrolled in the Women First Preconception Maternal Nutrition Trial. Body mass index (BMI, kg/m2) was calculated. Z-scores were determined using WHO reference data. RESULTS:A total of 7268 NPW participated in Equateur, DRC (n = 1741); Chimaltenango, Guatemala (n = 1695); North Karnataka, India (n = 1823); and Thatta, Sindh, Pakistan (n = 2009). Mean age was 23 y and mean parity 1.5. Median (P25-P75) height (cm) ranged from 145.5 (142.2-148.9) in Guatemala to 156.0 (152.0-160.0) in DRC. Median weight (kg) ranged from 44.7 (39.9-50.3) in India to 52.7 (46.9-59.8) in Guatemala. Median BMI ranged from 19.4 (17.6-21.9) in India to 24.9 (22.3-28.0) in Guatemala. Percent stunted (<-2SD height for age z-score) ranged from 13.9% in DRC to 80.5% in Guatemala; % underweight (BMI <18.5) ranged from 1.2% in Guatemala to 37.1% in India; % overweight/obese (OW, BMI ?25.0) ranged from 5.7% in DRC to 49.3% in Guatemala. For all sites, indicators for higher SES and higher age were associated with BMI. Lower SES women were underweight more frequently and higher SES women were OW more frequently at all sites. Younger women tended to be underweight, while older women tended to be OW. CONCLUSIONS:Anthropometric data for NPW varied widely among low-income rural populations in four countries located on three different continents. Global comparisons of anthropometric measurements across sites using standard reference data serve to highlight major differences among populations of low-income rural NPW and assist in evaluating the rationale for and the design of optimal intervention trials. TRIAL REGISTRATION:ClinicalTrials.gov # NCT01883193 (18 June 2013, retrospectively registered).

SUBMITTER: Hambidge KM

PROVIDER: S-EPMC5525260 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature

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Anthropometric indices for non-pregnant women of childbearing age differ widely among four low-middle income populations.

Hambidge K Michael KM Krebs Nancy F NF Garcés Ana A Westcott Jamie E JE Figueroa Lester L Goudar Shivaprasad S SS Dhaded Sangappa S Pasha Omrana O Aziz Ali Sumera S Tshefu Antoinette A Lokangaka Adrien A Thorsten Vanessa R VR Das Abhik A Stolka Kristen K McClure Elizabeth M EM Lander Rebecca L RL Bose Carl L CL Derman Richard J RJ Goldenberg Robert L RL Bauserman Melissa M

BMC public health 20170724 1

<h4>Background</h4>Maternal stature and body mass indices (BMI) of non-pregnant women (NPW) of child bearing age are relevant to maternal and offspring health. The objective was to compare anthropometric indices of NPW in four rural communities in low- to low-middle income countries (LMIC).<h4>Methods</h4>Anthropometry and maternal characteristics/household wealth questionnaires were obtained for NPW enrolled in the Women First Preconception Maternal Nutrition Trial. Body mass index (BMI, kg/m<s ...[more]

PMID: 28738791

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Project description:BackgroundPrevious studies have explored the relationship between body mass index (BMI) and multimorbidity. However, the relationship between other obesity indicators and their dynamic changes and multimorbidity has not been systematically estimated. Therefore, we aimed to investigate the association of BMI and other obesity indicators, including waist circumference (WC), waist-to-height ratio (WHtR), waist divided by height0.5 (WHT.5R), and body roundness index (BRI) and their changes and the risk of multimorbidity in middle-aged and older adults through a retrospective cohort study.MethodsData collected from annual health examination dataset in the Jinshui during 2017 and 2021. Cox regression models were used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) to evaluate the effect of baseline and dynamic changes in the anthropometric indices on the risk of multimorbidity.ResultsA total of 75,028 individuals were included in the study, and 5,886 participants developed multimorbidity during the follow-up. Multivariate Cox regression analysis revealed a progressive increase in the risk of multimorbidity with increasing anthropometric indicators (BMI, WC, WHtR, WHT.5R, and BRI) (all P<0.001). Regardless of general obesity status at baseline, increased WC was associated with a high risk of multimorbidity. Compared to the subjects with baseline BMI<24 kg/m2 and WC<90 (men)/80 (women), the HRs (95% CI) of the baseline BMI<24 kg/m2 and WC≥90 (men)/80 (women) group and BMI≥24 kg/m2 and WC≥90 (men)/80 (women) group were 1.31 (1.08, 1.61) and 1.82 (1.68, 1.97), respectively. In addition, the dynamics of WC could reflect the risk of multimorbidity. When subjects with baseline WC<90 (men)/80 (women) progressed to WC≥90 (men)/80 (women) during follow-up, the risk of multimorbidity significantly increased (HR = 1.78; 95% CI, 1.64, 1.95), while the risk of multimorbidity tended to decrease when people with abnormal WC at baseline reversed to normal at follow-up (HR = 1.40; 95% CI, 1.26, 1.54) compared to those who still exhibited abnormal WC at follow-up (HR = 2.00; 95% CI, 1.82, 2.18).ConclusionsCentral obesity is an independent and alterable risk factor for the occurrence of multimorbidity in middle-aged and elderly populations. In addition to the clinical measurement of BMI, the measurement of the central obesity index WC may provide additional benefits for the identification of multimorbidity in the Chinese middle-aged and elderly populations.

Project description:Objectives:Dietary phenylalanine restriction is the main treatment of phenylketonuria (PKU, OMIM 261600). There are a number of studies which have demonstrated growth retardation in these patients, and some are in contrast. This study was performed to assess the growth parameters of treated PKU patients. Materials & Methods:This cross-sectional study was performed between 2015 and 2017 to compare growth indices in PKU patients in our clinics with normal age and sex matched controls. Weight, height, head circumference (HC), weight for height and BMI (weight/height2) were measured and converted into Z-scores. We assessed differences between patients and controls' anthropometric indexes in all patients and separately in patients who were diagnosed by newborn screening program and patients who were diagnosed after presentation of clinical manifestations in comparison with age and sex-matched controls. Also, this difference was assessed separately in patients aged two years and less. Correlations between pretreatment plasma phenylalanine concentrations mean plasma phenylalanine concentrations and anthropometric parameters were analyzed in the patients. Results:Overall, 209 under-treatment PKU patients (103 males, 106 females; mean age 9.29 ± 8.7 years) and 216 controls (109 males and 107 females; mean age 8.98 ± 8.62 years) matched in terms of age, sex and birth weight were enrolled in this study. In general, 130 patients were diagnosed by newborn screening and 79 were diagnosed when they became symptomatic before the screening program. A significant difference (p=0.000) was found only in HC z-score and weight for height z-score in comparison with the control group, when we assessed all patients. We did not find any significant differences in any of the anthropometric indexes between cases and controls who were aged 2 years old and less. Head circumference SDS and weight for height SDS were significantly different when patients and controls who were more than 2 years old were compared. Mean HC was significantly lower in patients, while BMI SDS, weight SDS, and weight for height SDS were significantly higher in PKU patients in comparison with the control group when patients who were diagnosed in newborn screening were assessed. Head circumference SDS, BMI, height SDS and difference between patients' height SDS and mid parental height SDS had significantly lower mean scores in comparison with those of the control group, while mean weight SDS was significantly higher compared to controls when patients who were diagnosed after clinical presentation were assessed. Mean phenylalanine was not correlated with anthropometric indices, while there was a correlation between pretreatment phenylalanine and HC. Conclusion:Disparities in anthropometric indexes changes observed in different studies may be due to diverse diet protocols, availability of various specific products and micronutrient substitutes.

Project description:BackgroundViolence during pregnancy is a global problem, associated with serious health risks for both the mother and baby. Evaluation of interventions targeted for reducing or controlling domestic violence (DV) is still in its infancy, and the majority of findings are primarily from high-income countries (HICs). Therefore, there is an urgent need for generating evidence of DV interventions among pregnant women in low- and middle-income countries (LMICs).MethodsPreferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines will be employed to structure the review. A comprehensive search will be carried out via electronic databases including MEDLINE, CINAHL, Scopus, Embase, Web of Science, PsycINFO, and The Cochrane library. Gray literature will also be scrutinized for potential articles. An optimal search strategy has been developed following consultations with subject-matter experts and librarians. This search strategy will be adapted to the different databases. Experimental studies evaluating DV interventions among pregnant women from LMICs will be included in the review. The review will only include literature written in English. Two reviewers will independently screen and assess studies for inclusion in the review. A third author will resolve any discrepancies between the reviewers. Risk of bias will be assessed based on the Cochrane risk of bias assessment tool, and overall quality of the evidence will be judged using Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) criteria. Findings will be presented with the narrative synthesis, and if applicable, they will be further quantified using random-effects meta-analysis. Effect size, risk ratio for dichotomous variables, and standardized mean differences for continuous variables will be calculated for each outcome using Review Manager 5.3.DiscussionSystematic reviews to evaluate the efficacy of interventions to address DV within the perinatal context have been limited. Hence, no one intervention has emerged as substantially effective towards addressing perinatal DV and associated health consequences. The evidence generated from this systematic review will inform researchers and policy makers about the effectiveness of existing DV interventions among pregnant women in LMICs and provide recommendations for future research in this area. This in turn will contribute towards violence prevention in LMICs.Systematic review registrationPROSPERO CRD42017073938.

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Anthropometric indices for non-pregnant women of childbearing age differ widely among four low-middle income populations.

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Anthropometric indices for non-pregnant women of childbearing age differ widely among four low-middle income populations.

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