Trends in prevalence and determinants of stunting in Tanzania: an analysis of Tanzania demographic health surveys (1991–2016)

Sunguya, Bruno F.; Zhu, Si; Mpembeni, Rose; Huang, Jiayan

doi:10.1186/s12937-019-0505-8

Cited by 45 publications

(82 citation statements)

References 23 publications

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“…We adopted other covariates as suggested by the UNICEF conceptual framework of malnutrition and after reviewing available literature [2]. Covariates include indicator variables for the age and gender of the child.…”

Section: Other Independent Variablesmentioning

confidence: 99%

“…Other child's characteristics as reported by the mother included mother's perceived birth size (size of child as reported by the mother), place of delivery (home, health facility or other places), and symptoms of fever and/or diarrhea in the child in the past two weeks before the interview (Yes/No). Mothers characteristics like age at rst birth (years), highest level of education (primary, secondary or higher), employment status, and number of children born in the past 5 years were also included, as reported and categorised in the previous studies [2,23]. Mother's body mass index (BMI) was determined using the WHO cut-off point of :…”

Section: Other Independent Variablesmentioning

confidence: 99%

“…Over the past two decades, Tanzania has seen a signi cant achievement in reduction of undernutrition owing to rapid decline in stunting and underweight. Despite the signi cant progress made in the country, the levels are still high [2,3]. In 2015, the Tanzania Demographic and Health Survey report showed that the prevalence of chronic undernutrition (stunting) was 34.4%, acute malnutrition (wasting) was 4.5%, and underweight was 13.6% [3].…”

Section: Introductionmentioning

confidence: 99%

“…According to the UNICEF conceptual framework [21], undernutrition can be caused by insu cient diet intake, infections, poor breastfeeding or inadequate complementary foods. To date, numerous studies have been conducted to examine the determinants of undernutrition in Tanzania [2,[22][23][24] and elsewhere [15,17,[25][26][27]. However, available studies in the country have used conventional indices, rather than aggregated indicator of CIAF.…”

Section: Introductionmentioning

confidence: 99%

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The burden and correlates of childhood undernutrition in Tanzania according to composite index of anthropometric failure

Khamis

Mwanri

Kreppel

et al. 2020

Preprint

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Background Undernutrition is a public health problem worldwide. Tanzania has made significant achievements in the reduction of childhood undernutrition over the past two decades. However, the exact burden of undernutrition was under-estimated when using conventional indices of stunting, wasting and underweight. The objective of this study was to determine the overall prevalence of undernutrition, describe the trends and examine the correlates associated with undernutrition among children under the age of five years using the composite index of anthropometric failure (CIAF). This study aims to understand the real burden and drivers of undernutrition to improve design, implementation and monitoring of appropriate interventions to emeliorate childhood undernutrition in the country. Methods We retrieved and analyzed the data of mother-child pairs from the Tanzania Demographic and Health Surveys (TDHS) of 1991, 1996, 1999, 2004-05, 2009-10, and 2015-16 using Stata and SPSS software. Data for 1991 to 2015 were used to determine the burden and trends of undernutrition. The recent TDHS surveys of 2004-05, 2010 and 2015-16 were used to determine the correlates of undernutrition. The main outcome of interest was undernutrition measured using CIAF. This is an aggregated index of conventional indices of stunting, wasting and underweight of children aged below 59 months. We used multivariate logistic regression analysis to identify the correlates associated with CIAF, whereby both crude and adjusted odds ratios (OR) with 95% confidence intervals (CI) were determined. Results About one in every three (38.2%) of the surveyed children had anthropometric failure in 2015 compared to half of them (50%) in 1991. The odds of anthropometric failure were significantly higher for boys, older children, living in rural areas, living in poorer households, and being born with non-educated or undernourished mothers. Female-headed households were more likely to have children with anthropometric failure, while age of the household head was negatively associated with anthropometric failure. Children who were born at home, with low birth weight, or having episode of illnesses such as diarhea or fever were most likely to have anthropometric failure. Conclusion One in every three under 5 years old children are suffering from either one or multiple forms of anthropometric failure in Tanzania as revealed by CIAF. Multiple factors including those related to mothers, children and household socio-economic characteristics have the potential to influence childhood anthropometric failure. Efforts to reduce the burden of undernutrition should focus on reducing poverty and raising people’s living standards.

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Section: Other Independent Variablesmentioning

confidence: 99%

Section: Other Independent Variablesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The burden and correlates of childhood undernutrition in Tanzania according to composite index of anthropometric failure

Khamis

Mwanri

Kreppel

et al. 2020

Preprint

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“…Balita di perkotaan Tanzania memiliki risiko 0,56 kali untuk stunting dibanding balita di wilayah perdesaan. Penelitian ini menemukan faktor risiko lain di Tanzania yang meliputi kemiskinan, tidak berpendidikan, dan rumah tangga yang dikepalai oleh seorang wanita 10 . Penelitian di Bangladesh juga menyimpulkan hasil yang sejalan, balita yang tinggal di wilayah perkotaan memiliki risiko 1,31 kali dibanding balita yang tinggal di wilayah perdesaan Bangladesh untuk menjadi stunting.…”

Section: Hasil Dan Pembahasanunclassified

Determinan Balita Stunting di Jawa Timur: Analisis Data Pemantauan Status Gizi 2017

Laksono¹,

Megatsari²

2019

Preprint

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ABSTRAKLatar Belakang: Stunting dalam kehidupan awal akan mempunyai konsekuensi fungsional yang merugikan, termasuk kognisi yang buruk dan tingkat pendidikan yang rendah. Penelitian ditujukan untuk menentukan determinan balita stunting di Jawa Timur. Metode: Penelitian menggunakan data sekunder survei Pemantauan Status Gizi tahun 2017 (PSG 2017). Dengan metode multi-stage cluster random sampling, diambil sampel 10.814 balita berusia 0-59 bulan. Varibel yang dianalisi terdiri dari variabel dependen status gizi balita, 7 variabel independen: tempat tinggal, umur balita, umur ibu balita, status perkawinan ibu balita, tingkat pendidikan ibu balita, dan status bekerja ibu balita. Penentuan determinan dengan menggunakan uji Regresi Logistik Biner. Hasil: Balita yang tinggal di daerah perkotaan 0,855 kali lebih memiliki risiko stunting dibandingkan dengan balita yang tinggal di daerah pedesaan (OR 0,885; 95% CI 0,798-0,980). Balita yang memiliki ibu dengan pendidikan SD ke bawah 2,206 kali lebih memiliki risiko stunting dibandingkan dengan balita yang memiliki ibu dengan pendidikan perguruan tinggi (OR 2,206; 95% CI 1,835-12,651). Balita yang memiliki ibu dengan pendidikan SLTP 1,676 kali lebih memiliki risiko stunting dibandingkan dengan balita yang memiliki ibu dengan pendidikan perguruan tinggi (OR 1,676; 95% CI 1,395-2,015). balita yang memiliki ibu dengan pendidikan SLTA 1,266 kali lebih memiliki risiko stunting dibandingkan dengan balita yang memiliki ibu dengan pendidikan perguruan tinggi (OR 1,266; 95% CI 1,058-1,514). Kesimpulan: Ada 4 variabel yang terbukti signifikan sebagai determinan kejadian stunting di Provinsi Jawa Timur, yaitu tempat tinggal, umur balita, umur ibu balita, dan tingkat pendidikan ibu balita. ABSTRACTBackground: Stunting in early life will have adverse functional consequences, including poor cognition and low levels of education. The study aimed to determine the determinants of stunting toddlers in East Java. Methods: The study uses secondary data from the 2017 PSG. Using the multi-stage cluster random sampling method, a sample of 10,814 toddlers aged 0-59 months was taken. The analyzed variables consisted of the dependent variable nutritional status of toddlers, 7 independent variables: residence, toddler age, mother's age, marital status of mothers, mother's education level, and working status of mothers. Determination of determinants using the Binary Logistic Regression test. Results: Toddlers living in urban areas were 0.855 times more at risk of stunting compared to toddlers living in rural areas (OR 0.885;. Toddlers who have mothers with elementary education and below 2.206 times have more risk of stunting compared to toddlers who have mothers with college education (OR 2.206; 95% CI 1,651). Toddlers who have mothers with junior high school education were 1,676 times more likely to have stunting risk compared to toddlers who have mothers with tertiary education (OR 1.676;). toddlers who have mothers with high school education are 1,266 times more likely to have stunting risk compare...

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Determinants of underweight among children aged 0–23 months in Tanzania

Moshi

Sebastian

Mushumbusi

et al. 2022

Food Science & Nutrition

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Underweight is the most dependable growth indicator for overall child growth. Tanzania has the highest rate of underweight children in East Africa, with 1.27 million children under the age of five suffering from the condition. This study aimed to determine factors that influence underweight in Tanzanian children aged 0–23 months. We used data from the Tanzania Demographic and Health Survey (TDHS) 2015–2016 to conduct secondary analysis on a sample of 4,327 children aged 0–23 months. Descriptive and inferential statistics such as frequency, chi‐square, binary, and multivariate logistic regression were performed using the Statistical Package of Social Science (SPSS version 25). Statistical significance was defined as a p‐value of less than 0.05. Multivariate analysis found risk factors for underweight children were as follows: child's gender, age, birth weight, mothers' BMI, level of education, and type of toilet facility used by the households. Females had a significantly lower risk of being underweight (AOR = 0.62, 95% CI = 0.48–0.81, p < .05) compared with male children. The odds of being underweight increase with low birth weight (AOR = 2.92, 95% CI = 1.92–4.43, p < .05), low mother's BMI (AOR = 2.48, 95% CI = 1.34–4.58, p < .05), and low educational level (AOR = 1.78, 95% CI = 1.23–2.58, p < .05). Nutrition interventions such as growth monitoring, nutrition counseling, and nutrition education for parents/caregivers are critical to ensuring proper weight gain for all children under 2 years of age.

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Trends in prevalence and determinants of stunting in Tanzania: an analysis of Tanzania demographic health surveys (1991–2016)

Cited by 45 publications

References 23 publications

The burden and correlates of childhood undernutrition in Tanzania according to composite index of anthropometric failure

The burden and correlates of childhood undernutrition in Tanzania according to composite index of anthropometric failure

Determinan Balita Stunting di Jawa Timur: Analisis Data Pemantauan Status Gizi 2017

Determinants of underweight among children aged 0–23 months in Tanzania

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