Correlating food and nutritional patterns with cancers in the pediatric oncology population at two specialized hospitals in Tanzania.

BACKGROUND: This study of nutritional patterns in relation to cancers among pediatric oncology population in Tanzania was motivated by the lack of up-to-date information about the nutritional practices, the controversy around the importance of nutritional support and the lack of consistent nutritional criteria among pediatric oncology populations. METHODS: A survey study in two cancer referral hospitals of children diagnosed with any cancers, aged between 1 and 17 years inclusive and being eligible for enteral feeding included 131 children. Their demographic, nutritional, feeding and cancer profiles were analyzed descriptively through mapping and other approaches as well as inferentially using multinomial regression models to understand different aspects of nutrition for children suffering from cancers. RESULTS: The majority (15% or higher) of pediatric oncology population originated from the lake zone. Between 7 and 12% of pediatric oncology population originated from the Western zone. The top-three cancers with their percentages in the brackets were: Wilms Tumor (32%), Acute Lymphoblastic Leukemia (26%) and Retinoblastoma (13%). About 69% of the pediatric oncology population ate foods that are rich in energy but poor in protein such as rice (21.5%), porridge (19.3%), banana (11.7%) and potatoes (10.2%). On the other hand, only 17.5% ate foods that are generally protein-rich such as meat (8.0%), fish (5.3%) and chicken (4.2%); and 12.7% ate milk (4.2%), beans (3.4%), vegetables (2.7%), eggs (1.9%) and fruits (1.5%). Cancers impacted food intake in about 60% of all children with cancers and affected appetite in 18.3% of them. Cancers caused vomiting in 16% and diarrhea in 6.1% of children. The majority of children with cancers (61.8%) took at least one meal while 34.4% took just snacks (p < 0.001). CONCLUSIONS: The majority of pediatric oncology population had erratic nutritional patterns and took foods high in energy and poor in proteins. There is a two-way interaction between cancers and nutrition in which cancers affect general nutritional intake which could affect the cancer treatment outcomes in return. Therefore, it is important to consider these interactions while managing pediatric oncology populations in this and similar settings.

Simple method for identification of women at risk of gestational diabetes mellitus in Arusha urban, Tanzania.

BACKGROUND: Screening for gestational diabetes mellitus in Tanzania is challenged by limited resources. Therefore, this study aimed to develop a simple method for identification of women at risk of gestational diabetes mellitus in Arusha urban, Tanzania. METHODS: This study used data from a cross sectional study, that was conducted between March and December 2018 in Arusha District involving 468 pregnant women who were not known to have diabetes before pregnancy. Urine glucose was tested using urine multistics and blood glucose levels by Gluco-Plus™ and diagnosed in accordance with the World Health Organization's criteria. Anthropometrics were measured using standard procedures and maternal characteristics were collected through face-to-face interviews using a questionnaire with structured questions. Univariate analysis assessed individual variables association with gestational diabetes mellitus where variables with p-value of < 0.05 were included in multivariable analysis and predictors with p-value < 0.1 remained in the final model. Each variable was scored based on its estimated coefficients and risk scores were calculated by multiplying the corresponding coefficients by ten to get integers. The model's performance was assessed using c-statistic. Data were analyzed using Statistical Package for Social Science™. RESULTS: The risk score included body fat ≥ 38%, delivery to macrosomic babies, mid-upper arm circumference ≥ 28 cm, and family history of type 2 diabetes mellitus. The score correctly identified 98% of women with gestational diabetes with an area under the receiver operating characteristic curve of 0.97 (95% CI 0.96-0.99, p < 0.001), sensitivity of 0.98, and specificity of 0.46. CONCLUSION: The developed screening tool is highly sensitive and correctly differentiates women with and without gestational diabetes mellitus in a Tanzanian sub-population.

Insulin Resistance Among Pregnant Women in Urban Areas of Arusha Region, Tanzania.

Aim: To establish the prevalence of insulin resistance (IR) and its determinants among selected pregnant women in urban Arusha for taking preventive measures. Methods: A cross-sectional study was conducted between March and December 2018 at Ngarenaro and Kaloleni health facilities in Arusha District involving 230 randomly selected pregnant women who were not known to have diabetes before pregnancy. Blood glucose at fasting and 2 hr after consuming 75 grams of glucose dissolved in 300 mL of water was measured using Gluco-Plus™, serum insulin concentrations using ELISA machine (Synergy/HTX™; BioTek), and IR was calculated using the Homeostasis Model of Assessment formula. Body fat was measured using a bioelectric impedance analyzer, mid-upper arm circumference using a regular tape, weight using SECA™, blood pressure using GT-868UF Geratherm™ machine, and height by stadiometer. Maternal characteristics were collected through face to face interviews using a structured questionnaire. Data were analyzed using the Statistical Package for Social Science™ Version 20. Results: The prevalence of IR was 21% (n = 49) and significantly associated with increased body fat percentage (adjusted odds ratio [AOR]: 1.68, 95% confidence interval [CI]: 1.01-2.5), family history of Type 2 diabetes mellitus (T2DM; AOR: 2.77, 95% CI: 1.21-6.33), hypertension (AOR: 2.5, 95% CI: 1.12-5.6), edema (AOR: 3.01, 95% CI: 1.31-6.96), and proteinuria (AOR: 3.44, 95% CI: 1.11-10.69). Conclusions: IR was higher among pregnant women with increased body fat percentage, family history of T2DM, hypertension, edema, and proteinuria. These findings call for large-scale screening to further explore risk factors to prevent gestational diabetes mellitus.

Prevalence of hyperglycemia in pregnancy and influence of body fat on development of hyperglycemia in pregnancy among pregnant women in urban areas of Arusha region, Tanzania.

BACKGROUND: Hyperglycemia in pregnancy is a medical condition resulting from either pre-existing diabetes or insulin resistance developed during pregnancy. This study aimed to determine the prevalence of hyperglycemia in pregnancy and influence of body fat percentage and other determinants on developing hyperglycemia in pregnancy among women in Arusha District, Tanzania. METHODS: A cross-sectional study was conducted between March and December 2018 at selected health facilities in Arusha District involving 468 pregnant women who were not known to have diabetes before pregnancy. Blood glucose was tested by Gluco-Plus™ using the World Health Organization criteria at fasting and 2 h after consuming 75 g of glucose dissolved in 300 ml of water. Body fat was measured using a bioelectric impedance analyzer, mid-upper arm circumference using a regulated tape, weight using SECA™, blood pressure using a GT-868UF Geratherm™ machine, and height using a stadiometer. Demographic and maternal characteristics were collected through face to face interviews using a structured questionnaire. RESULTS: The participants' mean age was 28 years (SD ± 6), mid-upper arm circumference 27 cm (SD ± 3.7), body fat 33.72% (SD ± 7.2) and pre-pregnancy body mass index 25.6 kg/m2 (SD ± 5.5). One-third of participants had mid-upper arm circumferences ≥28 cm with 25% being overweight and 22.7% obese before pregnancy. Prevalence of hyperglycemia in pregnancy was 16.2% (n = 76) of which 13% had gestational diabetes and 3.2% diabetes in pregnancy. Hyperglycemia in pregnancy was significantly associated with body fat percentage (AOR 1.33; 95% CI: 1.22-1.44), family history of Type 2 diabetes mellitus (AOR 6.95, 95% CI: 3.11-15.55), previous delivery of babies ≥4 kg (AOR 2.3, 95% CI: 1.00-5.28), mid-upper arm circumference ≥ 28 cm (AOR 1.2, 95% CI: 1.09-1.32), and Type 2 diabetes mellitus symptoms (AOR 2.83, 95% CI: 1.53-6.92). CONCLUSION: The prevalence of hyperglycemia in pregnancy was high, particularly among women with history of delivering ≥4-kg babies, increased body fat, mid-upper arm circumference, symptoms and/or family history of Type 2 diabetes mellitus. These findings identify opportunities to further explore the utility of body fat percentage and other determinants for rapid screening and management of hyperglycemia in pregnancy.