<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:dc="http://purl.org/dc/elements/1.1/" version="2.0">
<channel>
<title>Public Health</title>
<link>http://hdl.handle.net/123456789/20</link>
<description>Public Health</description>
<pubDate>Sat, 18 Apr 2026 16:43:43 GMT</pubDate>
<dc:date>2026-04-18T16:43:43Z</dc:date>
<item>
<title>CONTEXTUAL ANALYSIS OF THE DELIVERY OF ESSENTIAL NUTRITION ACTIONS IN NIGERIA</title>
<link>http://hdl.handle.net/123456789/2417</link>
<description>CONTEXTUAL ANALYSIS OF THE DELIVERY OF ESSENTIAL NUTRITION ACTIONS IN NIGERIA
OLUFOLAKEMI, Mercy Anjorin
Maternal and child undernutrition persist in Nigeria. Essential Nutrition Actions&#13;
(ENAs), including iron supplementation, exclusive breastfeeding (EBF), and vitamin A&#13;
supplementation (VAS) were adopted nationally to reduce undernutrition, since 2004.&#13;
However, there is paucity of literature on implementation of ENAs in Nigeria, thus,&#13;
time-trends in coverage and determinants, and delivery context of ENAs in Nigeria were&#13;
assessed in this study.&#13;
Quantitative and qualitative methods were used. Data from 2003, 2008 and 2013 Nigeria&#13;
Demographic and Health Surveys (NDHS) were analysed to establish time-trends and&#13;
determinants of ENAs coverage. To account for NDHS cluster sampling method,&#13;
estimates of time-trends and determinants were adjusted using sampling weights in&#13;
respective datasets. Twenty-nine primary healthcare centers (PHCs), 21 in Ekiti (South)&#13;
and 8 in Katsina (North) States, were assessed as case studies for delivery context of&#13;
ENAs in Nigeria. Data from NDHS and case study PHCs were analysed using&#13;
descriptive statistics, Chi-square tests and regression models. Among 21 nutrition&#13;
policy/programme stakeholders from case-study states and federal level, perspectives&#13;
about ENAs implementation were examined using Q-methodology.&#13;
Coverage of ENAs was low and time-trends varied across ENAs. Iron supplementation&#13;
prevalence among pregnant women and EBF rate did not change significantly (23.2%,&#13;
17.1%, 21.7% and 17.1%, 12.7%, 17.6% in 2003, 2008, 2013, respectively). VAS&#13;
prevalence among children 6-59 months increased (33.7% to 40.6%) from 2003 to 2013.&#13;
Utilisation of health system contact points was low; complete immunisation prevalence&#13;
increased (6.8%, 17.2%, 21.5% in 2003, 2008, 2013, respectively) but was still low in&#13;
2013. Similarly, prevalence of skilled antenatal care, ANC (58.1%, 58.0%, 61.1%),&#13;
delivery in health facilities (32.9%, 36.1%, 36.2%), and skilled delivery assistance&#13;
(35.4%, 39.5%, 38.7%), was inadequate in 2003, 2008, 2013, respectively. Use of health&#13;
system contacts was associated with ENAs. In 2008 and 2013, full immunisation&#13;
increased adjusted odds of VAS 3 times (CI: 10.2–14.4). ANC increased odds of iron&#13;
supplementation in pregnancy 11 times (CI: 7.9–15.9) in 2003, 12 times (CI: 10.2–14.4)&#13;
in 2008, and 16 times (CI: 13.8–19.0) in 2013. In 2013, women who had skilled delivery&#13;
assistance were 2 times (CI: 1.4–3.6) more likely to practice EBF. The poor were less&#13;
likely than the rich to receive ENAs. Prevalence of skilled ANC was consistently lowest&#13;
and decreased over time in the poorest quintiles, while richer quintiles had almost&#13;
universal and increased coverage (p&lt;0.001). In case study PHCs, ENAs were provided&#13;
inconsistently and not integrated in routine service delivery. Weaknesses existed across&#13;
health system building blocks assessed as only 3 (15.0%) and 8 (30.8%) of PHCs&#13;
reported availability of ENAs routine supplies and nutritionists, respectively.&#13;
Stakeholders identified weak leadership, governance and nutrition information systems,&#13;
with inadequate funding, as challenges to ENAs delivery.&#13;
Essential Nutrition Actions coverage was low in Nigeria and associated with inadequate&#13;
utilisation of health system contact points. The delivery context in Ekiti and Katsina&#13;
States had insufficient human, financial and material resources for nutrition service&#13;
delivery. Systematic integration of nutrition interventions into health system services&#13;
and system strengthening is required to improve coverage.
</description>
<pubDate>Wed, 01 Dec 2021 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://hdl.handle.net/123456789/2417</guid>
<dc:date>2021-12-01T00:00:00Z</dc:date>
</item>
<item>
<title>NUTRITIONAL CHARACTERISATION OF SELECTED YAM VARIETIES AND CONTRIBUTION OF YAM TO NUTRIENT INTAKE IN EKITI STATE, NIGERIA</title>
<link>http://hdl.handle.net/123456789/2125</link>
<description>NUTRITIONAL CHARACTERISATION OF SELECTED YAM VARIETIES AND CONTRIBUTION OF YAM TO NUTRIENT INTAKE IN EKITI STATE, NIGERIA
OLAWUYI, YETUNDE OLUKEMI
Excessive consumption of staples plays a contributory role in the global upsurge of the&#13;
prevalence of diet related chronic diseases. Yam is a multi-species and multi-variety staple&#13;
food with pivotal role in ensuring food security in Nigeria. Intra and inter species diversity&#13;
of foods are being promoted as part of means to tackle malnutrition. Ekiti State is one of the&#13;
highest producers and consumers of yam, without well documented information on varieties&#13;
commonly consumed and their dietary diversity. This study was conducted to assess the&#13;
available and commonly consumed yam varieties, inter-varietal nutritional differences,&#13;
evaluate dietary diversity and contribution of yam to nutrient intake in Ekiti State.&#13;
Proximate, mineral and phytochemical analyses were carried out on 12 purposively selected&#13;
yam varieties using standard methods. Cross-sectional study of 450 adults selected from six&#13;
Local Government Areas (LGA) in Ekiti State was done using a four-stage sampling&#13;
method. Interviewer-administered questionnaire was used to collect data on sociodemographic characteristics, commonly-consumed yam varieties, yam consumption&#13;
pattern, and dietary intake. Dietary intake was assessed with multi-pass 24-hour dietary&#13;
recall to calculate the Individual Dietary Diversity Score (IDDS), energy and nutrients&#13;
intake. The IDDS was derived from nine (9) food groups and categorised into low (1-3),&#13;
medium (4-6) and high (7-9). Contribution of yam to total energy and nutrient intake was&#13;
determined using standard procedure. Data were analysed using descriptive statistics, Chi&#13;
square test and ANOVA at α0.05.&#13;
Nutritional composition per 100g of yam varieties was significantly different for moisture&#13;
(50.1-69.8)g, carbohydrate (27.3-46.1)g, protein (1.8-3.0)g, ash (0.5-1.3)g, and&#13;
metabolisable energy (119-194) kcal. Saponin, alkaloids, phenols, phytate and tannin&#13;
content ranged from 19.38-33.19%, 1.11-4.29%, 6.11-10.11 GEmg/100g, 1.26-1.93%, and&#13;
0.06-3.00%, respectively. Twenty five yam varieties were identified in the state and the&#13;
seven most commonly-consumed varieties were Gambari (29.2%), Olo (15.1%), Aro&#13;
(7.8%), Ileusu (3.1%), Dagidagi (2.4%), Gbakumo (2.2%) and Odo (2.2%). Respondents’&#13;
age was 34.1±12.2 years, and 56.0% were females. About 61% of the respondents consumed&#13;
yam or its products daily, including pounded yam (65.5%) and boiled yam (24.0%).&#13;
Preference for yam varieties was largely determined by season/availability (53.3%) andvii&#13;
organoleptic properties (30.6%). Mean IDDS was 3.6±0.9, 57.6% fell within medium and&#13;
42.0% had low IDDS. Daily energy, protein, carbohydrate, iron and magnesium intake were&#13;
1985.4±615.3 kcal, 55.1±27.3g, 422.5±117.3g, 15.3±5.8mg, and 251.9±86.0mg,&#13;
respectively. Yam and its products contributed an average of 31.7%, 5.4%, 27.3% and&#13;
31.9% of total energy, protein, iron and magnesium intake, respectively. The choice of the&#13;
most preferred yam varieties was significantly associated with LGA, age, educational&#13;
qualification, occupation and household monthly income. Only marital status was&#13;
significantly associated with IDDS.&#13;
Yam varieties had disparate macro- and micronutrient contents, and largely contributed to&#13;
energy, carbohydrate and magnesium intake. The diet of respondents was not diverse&#13;
enough, hence the need to address dietary diversity in order to improve nutrient intake&#13;
adequacy in Ekiti State.
</description>
<pubDate>Wed, 01 Dec 2021 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://hdl.handle.net/123456789/2125</guid>
<dc:date>2021-12-01T00:00:00Z</dc:date>
</item>
<item>
<title>CONTEXTUAL ASSESSMENT OF FOOD SYSTEM, SAFETY-NETS AND NUTRITIONAL STATUS OF PEOPLE LIVING WITH HIV/AIDS IN KADUNA CITY, NIGERIA</title>
<link>http://hdl.handle.net/123456789/1790</link>
<description>CONTEXTUAL ASSESSMENT OF FOOD SYSTEM, SAFETY-NETS AND NUTRITIONAL STATUS OF PEOPLE LIVING WITH HIV/AIDS IN KADUNA CITY, NIGERIA
OHURUOGU, VICTOR UCHE
HIV/AIDS status and food system interact in a vicious cycle which influence nutrition at&#13;
individual and household levels. Safety nets are important mechanisms to promote health and&#13;
nutrition among People Living with HIV/AIDS (PLWHA), however, these mechanisms are&#13;
being weakened following dwindling resources among other factors. Understanding the food&#13;
system and safety net types of PLWHA is important to promoting nutritional status and&#13;
improved treatment outcomes. This study was designed to assess food system, safety nets and&#13;
nutritional status of PLWHA in Kaduna city, Nigeria.&#13;
Descriptive cross-sectional and a mixed-methods approach were used. A total sampling of&#13;
consenting 532 PLWHA across 14 support groups in Kaduna was conducted. Three key&#13;
informant interviews and three focus group discussion sessions were conducted among support&#13;
group leaders and male/female members, respectively using structured guides. Intervieweradministered questionnaire was used to collect information on socio-demographic&#13;
characteristics, CD4 cell count, safety net types, food system and dietary intake of PLWHA. A&#13;
24-hour recall was conducted to assess dietary intake and analysed using adapted Total Diet&#13;
Assessment software and dietary diversity according to the FAO standard. Body weight and&#13;
height were assessed to determine the Body Mass Index (BMI) and categorised using WHO&#13;
standards. Qualitative data were analysed thematically. Quantitative data were analysed using&#13;
descriptive statistics, and Chi-square tests at α0.05.&#13;
There was declining involvement of PLWHA in food production following poor productive&#13;
capacity. Respondents expressed understanding of the link between nutrition and treatment&#13;
outcomes and identified poor income as a constraint to food access. Respondents’ age was&#13;
38.1±9.7 years, 78.0% were females, 44.9% were married, and 40.3% earned &lt;₦5000&#13;
monthly. About 20.0%, 25.0% and 55.0% had CD4 cell count (cells/µl) of ≥500, 200-499 and&#13;
&lt;200, respectively. Safety net types included counselling (39.2%), treatment for opportunistic&#13;
infections (27.5%), food and nutrition aid (15.7%), prayer (15.7%), and drug aid (1.9%).&#13;
Majorly produced staple was cereals (93.7%), 40.3% raised livestock/poultry, and 27.4% had&#13;
vegetable garden. Majority (58.1%) experienced hindrances to market access, 45.2% skipped&#13;
meals and 59.7% consumed street foods. Rice (71.0%), beans (61.3%) and maize (50.0%);&#13;
orange (61.3%), banana (25.8%) and watermelon (24.2%); and pumpkin leaves (ugwu)&#13;
(41.9%) and okro (9.7%) constituted the widely consumed staples, fruits, and leafy vegetables.&#13;
Intakes of energy, protein, vitamin A, zinc and iron were 1065.1±148.1Kcal, 50.3±42.7g,&#13;
10491.5±1510.6mcg, 6.7±6.1mg and 8.9±7.5mg, respectively. Mean dietary diversity was&#13;
4.8±1.12, reflecting a poor-quality diet. Prevalence of underweight, overweight and obesity&#13;
was 5.1%, 28.9% and 12.4%, respectively. Among respondents with normal BMI, 80.0% had&#13;
received financial empowerment, 64.5% received counselling /psychosocial support and&#13;
63.6% had food support. Body Mass Index was significantly associated with age, dietary&#13;
diversity, income, and intakes of energy, protein and zinc.&#13;
Access to food among people living with HIV/AIDS is constrained by poor income, reduced&#13;
productive capacity and limited support mechanism and this reflect in form of poor diet&#13;
quality, overweight and obesity. Household economic strengthening activities and food and&#13;
nutrition support are hereby recommended for PLWHA in Nigeria.
</description>
<pubDate>Wed, 01 Dec 2021 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://hdl.handle.net/123456789/1790</guid>
<dc:date>2021-12-01T00:00:00Z</dc:date>
</item>
<item>
<title>DIET QUALITY, PHYSICAL ACTIVITY, OBESITY AND HYPERTENSION AMONG ADULTS IN AKWA IBOM AND CROSS RIVER STATES, NIGERIA</title>
<link>http://hdl.handle.net/123456789/1788</link>
<description>DIET QUALITY, PHYSICAL ACTIVITY, OBESITY AND HYPERTENSION AMONG ADULTS IN AKWA IBOM AND CROSS RIVER STATES, NIGERIA
EKERETTE, NKEREUWEM NDAEYO
Obesity and hypertension are risk factors for diet-related non-communicable diseases and&#13;
are associated with poor quality of life, increased morbidity and mortality. There is a&#13;
growing burden of obesity in Nigeria, especially the South South geopolitical zone.&#13;
However, information on the interplay between diet quality, lifestyle factors, burden of&#13;
obesity and hypertension in the zone is scarce. This study was designed to assess the&#13;
associations between diet quality, physical activity, obesity and hypertension among adults&#13;
in Akwa Ibom and Cross River states, Nigeria.&#13;
This descriptive cross-sectional study adopted a three-stage random sampling technique to&#13;
select 12 Local Government Areas, 36 communities and 1,320 adults from Akwa Ibom and&#13;
Cross River states. Information on socio-demographic characteristics, dietary intakes and&#13;
physical activity were obtained using interviewer-administered questionnaire. Dietary&#13;
intake was assessed using multi-pass 24-hour dietary recall to determine diet quality (Diet&#13;
Quality Index-International, DQI-I), categorised into terciles. Physical activity was assessed&#13;
using International Physical Activity (PA) Questionnaire and analysed using standard&#13;
procedures. Weight (kg) and height (m) were measured to calculate Body Mass Index (BMI)&#13;
to define overweight and obesity as BMI 25.0-29.9kg/m2 and ≥30.0kg/m2 respectively.&#13;
Waist Circumference (WC) was measured to define Abdominal Obesity (AO) as WC&#13;
≥102cm for men and WC ≥88cm for women. Blood Pressure (BP) measurements were taken&#13;
and hypertension was defined as Systolic BP (SBP) ≥140mmHg and or Diastolic BP (DBP)&#13;
≥90mmHg. Data were analysed using descriptive statistics, Chi square test and logistic&#13;
regressions at α0.05.&#13;
Respondents’ age was 35.4±11.2 years, 50.4% were female and 54.1% were married. Total&#13;
DQI-I score was 56.4±7.4 comprising variety (11.4±3.9), adequacy (24.8±4.9), moderation&#13;
(19.6±6.0) and overall balance (0.7±1.5). Physical activity score was 4306.0 Metminutes/week, 29.7% and 60.7% had moderate and high PA patterns, respectively.&#13;
Prevalence of overweight and obesity were 20.5% and 12.5%, respectively. Waist&#13;
circumference scores were 82.7±11.3cm for men and 85.5±15.1cm for women andvii&#13;
prevalence of AO was 37.6%. The SBP and DPB were 122.2±14.9 mmHg and 79.1±12.6&#13;
mmHg, respectively and prevalence of hypertension was 29.5%. There were non-significant&#13;
increases in the risks of obesity (Adjusted Odds Ratio (AOR) = 1.1; CI: 0.8-1.4) and AO&#13;
(AOR = 1.0; CI: 0.8-1.4) across DQI-I terciles. Risk of hypertension increased significantly&#13;
across DQI-I terciles (AOR = 1.4; CI: 1.0-1.8). There was a significant decrease in the risk&#13;
of obesity (AOR = 0.5; CI: 0.3-0.7) and a non-significant decrease in the risk of AO (AOR&#13;
= 0.7; CI: 0.43-1.1) among adults with moderate-to-high PA patterns, compared to low PA&#13;
patterns. There was a non-significant increase in the risk of hypertension among adults with&#13;
moderate-to-high PA patterns (AOR = 1.14; CI: 0.7-1.8). The risk of hypertension increased&#13;
significantly among adults with higher BMI values (AOR = 2.3; CI: 1.7-3.1).&#13;
The risk of obesity was not related to high diet quality, but was inversely related to increased&#13;
physical activity in Akwa Ibom and Cross River States, Nigeria. Increased physical activity&#13;
should be promoted to reduce the burden of obesity.
</description>
<pubDate>Wed, 01 Dec 2021 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://hdl.handle.net/123456789/1788</guid>
<dc:date>2021-12-01T00:00:00Z</dc:date>
</item>
</channel>
</rss>
