METHODS: We performed a systematic search of relevant studies on Ovid (MEDLINE), EMBASE, the Cochrane Library, Web of Science, Scopus and grey literature databases. At least two authors independently conducted the literature search, selecting eligible studies, and extracting data. Meta-analysis using random-effects model was conducted to compute the pooled odds ratio with 95% confidence intervals (CI).

FINDINGS: We obtained a total of 13,333 articles from the searches. For the final analysis, we included a total of fifteen studies among pediatric patients. Three cohort studies, two case-control studies, and one cross-sectional study found an association between obesity and dengue severity. In contrast, six cohort studies and three case-control studies found no significant relationship between obesity and dengue severity. Our meta-analysis revealed that there was 38 percent higher odds (Odds Ratio = 1.38; 95% CI:1.10, 1.73) of developing severe dengue infection among obese children compared to non-obese children. We found no heterogeneity found between studies. The differences in obesity classification, study quality, and study design do not modify the association between obesity and dengue severity.

METHOD: We performed a fine-scale mapping study of a 700 kb region including 441 genotyped and more than 1300 imputed genetic variants in 48,155 cases and 43,612 controls of European descent, 6269 cases and 6624 controls of East Asian descent and 1116 cases and 932 controls of African descent in the Breast Cancer Association Consortium (BCAC; http://bcac.ccge.medschl.cam.ac.uk/ ), and in 15,252 BRCA1 mutation carriers in the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA). Stepwise regression analyses were performed to identify independent association signals. Data from the Encyclopedia of DNA Elements project (ENCODE) and the Cancer Genome Atlas (TCGA) were used for functional annotation.

STUDY DESIGN: Case-control study.

SETTING: Spinal Rehabilitation outpatient clinic in a tertiary hospital in Kuala Lumpur, Malaysia.

PARTICIPANTS: Thirty-one sports participants (SP) and thirty-four non-sports participants (NSP) (N = 65) met the following inclusion criteria; chronic SCI more than one year, age between 18 and 50 years, both traumatic and non-traumatic SCI at C5 level and below, complete or incomplete SCI (AIS A-D) and mobilizing with either manual or motorized wheelchair independently.

METHODS: Face-to-face interviews were performed with a 22-item self-constructed questionnaire which contained four domains of variables; socio-demographic, SCI-related, environmental and sports-related factors. Data collection was done between June 2017 and May 2018.

METHODS: A cross-sectional study was conducted over 6 months in the two main tertiary centres for CAH patients in Malaysia. Participants including 59 female-raised CAH patients (mean age ± SD = 16.3 ± 4.2 years, range 10-28 years) compared to 57 age-matched female diabetic patients (mean age ± SD = 16.5 ± 3.4 years, range 10-26 years). Socio-demographic and medical profiles was obtained through semi-structured interviews. HRQOL of participants were evaluated utilising validated, Malay translated questionnaires which were age appropriate: Pediatric Quality of Life Inventory (PedsQL v4.0) scales for Child (8-12) and Adolescent (13-18) and Medical Outcome Survey 36-item Short Form version. These were then compared to the diabetic controls.

RESULTS: The CAH participants consisted of children (ages 10-12 years, n = 12), adolescents (ages 13-17 years, n = 29) and adults (≥ 18 years, n = 18). The majority were Malays (64.4%) and had salt-wasting CAH (67.8%). There were no significant differences between the total mean score of the HRQOL of the combined children and adolescents CAH group (total mean score ± SD = 81.6 ± 17.9, 95% CI = 75.6-87.6) when compared to age-matched diabetic patients (total mean score ± SD = 80.8 ± 11.0, 95% CI = 77.0-84.5, P = 0.81, effect size = 0.05); no significant difference between the adult CAH and diabetic controls in the physical [median score (IQR) CAH vs diabetics; 49.3 (11.4) vs. 50.2 (6.1), P = 0.60, effect size = 0.09] and the mental composite scores [median score (IQR) CAH vs. diabetics; 47.8 (14.1) vs. 50.0 (10.8), P = 0.93, effect size = 0.01].

METHODOLOGY: The linear growth of 101 children with CP and of their healthy controls matched for age, sex and ethnicity was measured using upper-arm length (UAL). Nutritional parameters of weight, triceps skin-fold thickness and mid-arm circumference were also measured. Total caloric intake was assessed using a 24-h recall of a 3-day food intake and calculated as a percentage of the Recommended Daily Allowance. Multiple regression analysis was used to determine nutritional, medical and sociodemographic factors associated with poor growth (using z-scores of UAL) in children with CP.

RESULTS: Compared with the controls, children with CP had significantly lower mean UAL measurements (difference between means -1.1, 95% confidence interval -1.65 to - 0.59), weight (difference between means -6.0, 95% CI -7.66 to -4.34), mid-arm circumference (difference between means -1.3, 95% CI -2.06 to -0.56) and triceps skin-fold thickness (difference between means -2.5, 95% CI -3.5 to -1.43). Factors associated with low z-scores of UAL were a lower percentage of median weight (P < 0.001), tube feeding (P < 0.001) and increasing age (P < 0.001).