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Research article · 2022 · Full text

International Journal of Horticulture and Food Science

Assessing the dietary intake among pregnant women attending layeni primary health care in Ajegunle Apapa Lagos state in their second and third trimester

O OdunayoMotunrayo Funke Olumakaiye

Volume 4(1) · Pages 98–104 · DOI: 10.33545/26631067.2022.v4.i1b.91 ↗

Research areasChild Nutrition and Water Access

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Abstract

Author-written

Background: Pregnancy is a physiological condition in which a woman carries and nurture a developing embryo or fetus as the case may be according to the age in her uterus. Objective: This Study Assessed. The Dietary Intake of Pregnant Women Attending, Layeni Primary Health Care in Ajegunle Apapa Lagos State in their Second and Third TrimesterMethod: A cross sectional study design was adopted to address the research problems. The study was designed to determine the nutritional knowledge of pregnant women in the study area. A well-structured questionnaire was used to collect data from 195 respondents. Data were analyzed using the SPSS version 20 to determine the mean with their standard deviation, frequencies, and percentages as well as drew chart. Results: The analysis showed that most of the respondents (93.3%) were in their third trimester, 54.9% were between the ages of 20-30 years, 57.4% had children between ages 1-3 years. A larger percentage of (91.8%) had gave birth to their child at the clinic and only 9.7% attended antenatal clinic sixteen (16) times and above. The Yoruba’s constituted the main population of 74.4%. There were more Christians than Muslims as 55.9% were Christians and 42.6% were Muslims. Results also indicated that 36.9% were artisans, 17.9% were traders, 16.9% were housewife, and 13.3% were students. 39% had secondary school education, showing that majority of the respondents had secondary education Majority of the respondents earned less than 30,000 per month. Mean nutritional knowledge score was 42.8+ 6.9 and only 29.2% had good knowledge. 10.3% of the respondents had low dietary intake, 46.2% had moderate dietary intake, 43.6% had high dietary intake. The result of hypothesis 1 showed there was a significant relationship between the nutritional knowledge and dietary intake of the pregnant women at P=0.001. However, about 68.7% practice food taboo based on family history. Conclusion: The increased in Low Nutritional knowledge in this study intensify great need for nutrition counselling in antenatal clinics in urban and rural places in Nigeria to help teach pregnant women on the significance of healthy food choice throughout pregnancy which is key in healthy pregnancy and growth of the child.

Summary

Source-checked

Plain-language reading of the full paper, prepared with AI and checked against the text. Each point links to the authors' own words.

  1. Why it matters

    • Under-nutrition during pregnancy is a critical issue because it can lead to impaired intrauterine growth and low birth weight in newborns. View evidence ↗

      Why it matters

      Under-nutrition during pregnancy is a critical issue because it can lead to impaired intrauterine growth and low birth weight in newborns.

      In the paper's own words

      “Under-nutrition and inadequate weight gain during pregnancy can lead to impaired intrauterine growth and consequent low birth weight of the newborn.”

      Page 2

      Found in: Introduction

      Read it in the full textOpen PDF at page 2 ↗
    • Conversely, over-nutrition and excessive weight gain during pregnancy increase the risk of gestational diabetes, macrosomia, and various delivery complications. View evidence ↗

      Why it matters

      Conversely, over-nutrition and excessive weight gain during pregnancy increase the risk of gestational diabetes, macrosomia, and various delivery complications.

      In the paper's own words

      “Conversely, Over nutrition and excess weight gain in pregnancy impart risk of gestational diabetes, macrosomia, delivery complications such as shoulder dystocia, cesarean delivery, post-operative problems, difficulty initiating breastfeeding, and risk of subsequent maternal and child obesity”

      Page 2

      Found in: Introduction

      Read it in the full textOpen PDF at page 2 ↗
  2. The question

    • The study aimed to assess the dietary intake of pregnant women in their second and third trimesters attending the Layeni Primary Health Care center in Ajegunle Apapa, Lagos. View evidence ↗

      The question

      The study aimed to assess the dietary intake of pregnant women in their second and third trimesters attending the Layeni Primary Health Care center in Ajegunle Apapa, Lagos.

      In the paper's own words

      “Thus, this paper focused on assessing the dietary intake of pregnant women attending layeni primary health care Ajegunle Apapa Lagos who are in their second and third trimester.”

      Page 2

      Found in: Introduction

      Read it in the full textOpen PDF at page 2 ↗
  3. What they did

    • The researchers used a cross-sectional survey design conducted at the Layeni Primary Health Care center in the Ajeromi Ifelodun Local Government area. View evidence ↗

      What they did

      The researchers used a cross-sectional survey design conducted at the Layeni Primary Health Care center in the Ajeromi Ifelodun Local Government area.

      In the paper's own words

      “A cross sectional study design was adopted to address the research problems.”

      Page 1

      “The research was carried out at layeni primary health care in Ajeromi Ifelodun Local Government which is known to be a notorious slum.”

      Page 2

      Found in: Study area

      Read it in the full textOpen PDF at page 1 ↗
    • Data were collected from 195 pregnant women selected via random sampling using a structured questionnaire. View evidence ↗

      What they did

      Data were collected from 195 pregnant women selected via random sampling using a structured questionnaire.

      In the paper's own words

      “A well-structured questionnaire was used to collect data from 195 respondents.”

      Page 1

      “Random sampling technique was used to select 195 pregnant women from layeni primary health care on their antenatal clinic days.”

      Page 2

      Found in: Sampling and sample technique

      Read it in the full textOpen PDF at page 1 ↗
    • The analysis was performed using SPSS version 20, employing descriptive statistics and Pearson correlation to examine the relationship between nutritional knowledge and dietary intake. View evidence ↗

      What they did

      The analysis was performed using SPSS version 20, employing descriptive statistics and Pearson correlation to examine the relationship between nutritional knowledge and dietary intake.

      In the paper's own words

      “Data collected was analyzed using SPSS version 20. Results were presented as frequencies and percentages using descriptive statistics.”

      Page 2

      “Pearson correlation analysis was used to determine the relationship between the nutritional knowledge of the pregnant women and their dietary intake.”

      Page 2

      Found in: Data and statistical analysis

      Read it in the full textOpen PDF at page 2 ↗
  4. What they found

    • Regarding dietary intake, 10.3% of respondents had low intake, 46.2% had moderate intake, and 43.6% had high intake. View evidence ↗

      What they found

      Regarding dietary intake, 10.3% of respondents had low intake, 46.2% had moderate intake, and 43.6% had high intake.

      In the paper's own words

      “10.3% of the respondents had low dietary intake, 46.2% had moderate dietary intake, 43.6% had high dietary intake.”

      Page 1

      Found in: Data and statistical analysis

      Read it in the full textOpen PDF at page 1 ↗
    • A statistically significant positive relationship was found between the nutritional knowledge of the pregnant women and their dietary intake (p=0.001). View evidence ↗

      What they found

      A statistically significant positive relationship was found between the nutritional knowledge of the pregnant women and their dietary intake (p=0.001).

      In the paper's own words

      “The result of hypothesis 1 showed there was a significant relationship between the nutritional knowledge and dietary intake of the pregnant women at P=0.001.”

      Page 1

      “Table 8 above shows the result of the relationship using chi-square df=4, p=0.001, which shows that there is a positive significant relationship between the nutritional knowledge of the respondents and their dietary intake.”

      Page 6

      Found in: Hypothesis Testing

      Read it in the full textOpen PDF at page 1 ↗
    • A majority of the respondents (68.7%) reported practicing food taboos based on their family history. View evidence ↗

      What they found

      A majority of the respondents (68.7%) reported practicing food taboos based on their family history.

      In the paper's own words

      “However, about 68.7% practice food taboo based on family history.”

      Page 1

      “Food taboo based on family history Yes 134 68.7 No 61 31.3”

      Page 5

      Found in: Discussion

      Read it in the full textOpen PDF at page 1 ↗
    • Disease conditions, specifically diarrhea, heartburn, nausea, and vomiting, influenced the dietary intake of 80.5% of the respondents. View evidence ↗

      What they found

      Disease conditions, specifically diarrhea, heartburn, nausea, and vomiting, influenced the dietary intake of 80.5% of the respondents.

      In the paper's own words

      “Table 7 shows a larger percentage of the respondents of (80.5) agreed that diseases condition such as Diarrhea, heartburn, nausea and vomiting influenced their dietary intake.”

      Page 6

      Found in: Data and statistical analysis

      Read it in the full textOpen PDF at page 6 ↗
    • Common food frequencies included cereals consumed daily by 47.7% of women, and white tubers/roots and legumes/fats/oils consumed thrice weekly by 49.7% and 45.6% respectively. View evidence ↗

      What they found

      Common food frequencies included cereals consumed daily by 47.7% of women, and white tubers/roots and legumes/fats/oils consumed thrice weekly by 49.7% and 45.6% respectively.

      In the paper's own words

      “The result shows that white tubers and roots were consumed by 49.7% of the respondents thrice in a week, 45.6% consume legumes fats and oil thrice in a week and 47.7% consume cereals daily.”

      Page 6

      Found in: Data and statistical analysis

      Read it in the full textOpen PDF at page 6 ↗
  5. What it means

    • The authors conclude that there is an urgent need for nutrition counseling in Nigerian antenatal clinics, particularly in the early stages of pregnancy, to improve healthy food choices. View evidence ↗

      What it means

      The authors conclude that there is an urgent need for nutrition counseling in Nigerian antenatal clinics, particularly in the early stages of pregnancy, to improve healthy food choices.

      In the paper's own words

      “Conclusion: The increased in Low Nutritional knowledge in this study intensify great need for nutrition counselling in antenatal clinics in urban and rural places in Nigeria to help teach pregnant women on the significance of healthy food choice throughout pregnancy which is key in healthy pregnancy and growth of the child.”

      Page 1

      “There is need for nutrition counselling focused in the early stage of pregnancy on the importance of nutritional knowledge of dietary, followed by adequate consumption of nutritious food.”

      Page 7

      Found in: Conclusion

      Read it in the full textOpen PDF at page 1 ↗

Visual summary

1 visuals

Illustrations explain the paper; charts are replotted from the paper's own table values.

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Replotted from Table 4 (page 4) of the original paper. Every bar is the paper's own table value.↗ Enlarge
Percentage: High vs Moderate vs Low
Replotted from Table 4 (page 4) of the original paper. Every bar is the paper's own table value.

Replotted from Table 4 (page 4) of the original paper. Every bar is the paper's own table value.

Open full-size image ↗

Percentage: High vs Moderate vs Low

Replotted from Table 4 (page 4) of the original paper. Every bar is the paper's own table value.

View source evidence ↗

Figures & tables

From the original paper
Distribution of Respondents by Socio-demographic Characteristics.Table 1Page 3Distribution of Respondents by Socio-economic CharacteristicsTable 2Page 3Distribution of Respondents by Nutritional Knowledge N=195Table 3Page 4Nutritional Knowledge Scores of the RespondentsTable 4Page 4Distribution of Respondents by Dietary HabitTable 5Page 5Distribution of Respondents by Dietary intake using food group N=195Table 6Page 6Factors Influencing the Dietary intake of RespondentsTable 7Page 6Pearson chi-square showing relationship between nutritional knowledge and food group frequency intakeTable 8Page 6
FULL TEXT Original article · reflowed for reading

Introduction

Pregnancy, also known as gestation, is the time during which one or more offspring develops inside a woman. A multiple pregnancy involves more than one offspring, such as twins. Pregnancy can occur by sexual intercourse or assisted reproductive technology. Childbirth typically occurs around 40wweeks from the last menstrual period (LMP). This is just over nine months, where each mother averages 29 1/2 days when measured from conception it is about 38 weeks (Eunice Kennedy 2015) [4] . More frequently, pregnant women undergoes physiological changes which are entirely normal, including cardiovascular, hematologic, metabolic, renal and respiratory changes that become very important in the event of complications. The body needs to change its physiological and homeostatic mechanics to ensure the development of the fetus. Increase in blood sugar breathing, and cardiac output are all required. Level of progesterone and estrogen rise continually throughout pregnancy, suppressing the hypothalamic axis and subsequently the menstrual cycle. According to United Nations Children Emergency Funds, more than half a million women die all over the world from causes related to pregnancy and childbirth, and forty thousand women die for the same cause in Nigeria yearly (UNICEF 2009) [8] . Sixteen percent of infants worldwide are born with low birth weight, incidence occurs in developing countries in which Nigeria is not left out. Each year there is ill health as a result of pregnancy by more than 20 million women around the world.

Furthermore, the lives of eight million women are threatened and more than 500,000 women are estimated to have died in 1995 and of the 9.2 million women and girls in Nigeria each year one out thirteen face a lifetime risk of maternal death as a result of causes related to pregnancy and childbirth (WHO, 2006) [10] . Hence, pregnant women requires much intake of calorie dense food. Under-nutrition and inadequate weight gain during pregnancy can lead to impaired intrauterine growth and consequent low birth weight of the newborn. In addition to complications at birth, intrauterine growth retardation has been associated with metabolic abnormalities in adult-hood, such as hyperlipidemia, hypertension, cardiovascular disease, glucose intolerance, and type 2 diabetes (Ritchies, Ganapathy, Woodward-Lopez, Gerstein, and Fleming 2003 Carol, Lammi-Keefe, Collins, Couch and Philipson, 2008) [7] . Conversely, Over nutrition and excess weight gain in pregnancy impart risk of gestational diabetes, macrosomia, delivery complications such as shoulder dystocia, cesarean delivery, post-operative problems, difficulty initiating breastfeeding, and risk of subsequent maternal and child obesity (Vause, Martz, Richard and Gramlich, 2016) [9] High consumption of calorie dense food causes obesity, overweight and Thus, this paper focused on assessing the dietary intake of pregnant women attending layeni primary health care Ajegunle Apapa Lagos who are in their second and third trimester.

Materials and Methods

Materials and Methods

Study design

The study was a cross sectional survey designed to assess the dietary intake of pregnant women in their (second and third trimester)

Study area

The research was carried out at layeni primary health care in Ajeromi Ifelodun Local Government which is known to be a notorious slum. The inhabitants were mainly artisans and traders. The local government covers an area of 13.9km square and it is bounded to the north by Surulere local government area, to the east by Apapa local government area. And the third most populated area in Nigeria with a population of 946,500 by 2016 population census. The local government comprises of two primary health care and one general hospital there are ten towns and more than 100 streets making up Ajeromi ifelodun.

Sample Population

The study comprised pregnant women attending Layeni Primary health care Ajegunle Apapa Lagos state.

Sample size

The sample was calculated using the Kish-Leslie formula; n = required sample size z = 1.96 (critical value of the standard normal distribution to error rate α/2 at the level of significance ϭ=0.05(5%) p=0.15 (Madiforo superstition and nutrition among pregnant women in Nwangele local government area of Imo State J. res Nat Dev 2010, 8:16-20) q= (1-p), which represents the estimated proportion of the population with adequate dietary intake. d= maximum acceptable from true proportion, usually set at 0.05.

= 195 respondents

= 195 respondents

Sampling and sample technique

There are two primary health care and one general hospital in Ajeromi Ifelodun Random sampling technique was used to select 195 pregnant women from layeni primary health care on their antenatal clinic days.

Data collection

Pretested, validated questionnaires were administered to consenting pregnant women by trained interviewers during antenatal clinic sessions at layeni primary health care and are translated in Yoruba language for pregnant women who do not understand English. The questionnaire contained questions on socio-demographic and socio-economic characteristics of the pregnant women, nutritional knowledge and dietary habit/dietary intake of pregnant women towards food. Factors that affect their dietary intake were included for the purpose of the research.

Data and statistical analysis

Data collected was analyzed using SPSS version 20. Results were presented as frequencies and percentages using descriptive statistics. The nutritional knowledge was categorized into low, moderate and high by determining the mean and standard deviation of the nutritional knowledge score and a formula mean +SD was used. Where mean +SD is categorized as high knowledge, mean -SD a low knowledge and the scores between high and low was categorized as moderate knowledge. Pearson correlation analysis was used to determine the relationship between the nutritional knowledge of the pregnant women and their dietary intake. Table 1 shows the socio-demographic characteristics of pregnant women. Few (4.1%) of the women were 19 years old, 54.9% were between 20-30 years while 41.0% were 30 years old and above. About 7.7% of the respondents were single. 83.6% were married, 2.6% were divorced, and 5.1% were widowed, while 1.0% were separated. Most of the women (88.7%) practice monogamous marriage while few (8.2%) practice polygamous marriage. A larger percentage of 88.7% were of the nuclear household type and 11.3% were of extended household type. 23.1% of the women do not have a child, while 57.4% had child between the ages of 1-3 years old and 19.5% had child age 4 and above. Majority of the women (93.3%) were in their third trimester while 6.7% were in their second trimester. Furthermore, 41% of the women started their antenatal clinics 4 month ago and above. The data also reveal that 28.7% of the women attended antenatal clinic between 6-10 times, 61.5% attended 11-15 times and 9.7% attended antenatal clinics 16 times and above. The result also showed that most (91.8%) gave birth to their children in clinic, 6.2% gave birth in traditional homes, while 2.1% of the respondents gave birth to their children in mission house. Table 7 shows a larger percentage of the respondents of (80.5) agreed that diseases condition such as Diarrhea, heartburn, nausea and vomiting influenced their dietary intake. The result also showed that 51.3% of the respondents agreed that diabetes or hypertension influenced their dietary intake and 60.5% of the respondent admitted that they are allergic to certain food which influenced their dietary intake.

Table 7. Factors Influencing the Dietary intake of Respondents
FactorsYes (F %)N0 F (%)
Diarrhea, heartburn, nausea and vomiting157(80.5)38(19.5)
Diabetes and hypertension100(51.3)95(48.7)
Allergy118(60.5)77(39.5)
Others105(53.8)90(46.4)

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Table 7
Factors Influencing the Dietary intake of Respondents

Factors Influencing the Dietary intake of Respondents

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Table 1. Distribution of Respondents by Socio-demographic Characteristics.
CharacteristicsFrequency (195)Percentage
Maternal Age (Years)
< 1984.1
20-3010754.9
>308041.0
Mean Age = 29.66+ 7.26
Marital status
Single157.7
Married16383.6
Divorced52.6
Widowed105.1
Separated21.0
Marriage Type
Monogamy17991.8
Polygamy168.2
Household Type
Nuclear17388.7
Extended2211.3
Number of children
None4523.1
1-311257.4
4+3819.5
Gestational age (months)
Second Trimester136.7
Third semester18293.3
Start of Antenatal
2-38041.0
4+11559.9
Number of Antenatal attended
6-105628.7
11-1512061.5
16+199.7
Place of birth of children
Clinic17991.8
Traditional home126.2
Mission House42.1

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Distribution of Respondents by Socio-demographic Characteristics.↗ Enlarge
Table 1
Distribution of Respondents by Socio-demographic Characteristics.

Distribution of Respondents by Socio-demographic Characteristics.

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Results

Results

Hypothesis Testing

Hypothesis 1 Table 8 above shows the result of the relationship using chisquare df=4, p=0.001, which shows that there is a positive significant relationship between the nutritional knowledge of the respondents and their dietary intake. Hence, the null hypothesis is rejected which states that there is no significant relationship between the two variable

Table 8. Pearson chi-square showing relationship between nutritional knowledge and food group frequency intake
Frequency of Food Intake Score——————p-value DF
Low IntakeModerate IntakeHigh Intake0.001*4
Nutritional Knowledge scoreFreq.(%)Freq.(%)Freq.(%)
Low1621.33546.72432.0
Moderate34.83149.22946.0
High11.82446.23256.

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Table 8
Pearson chi-square showing relationship between nutritional knowledge and food group frequency intake

Pearson chi-square showing relationship between nutritional knowledge and food group frequency intake

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Original paper tableSource PDF · page 6 ↗

Discussion

The research revealed that majority of the respondents (93.3%) were in their third trimester, Most of the pregnant women were 20years and above. It could be that the study area was made up of mature adults, and this is in line with a study by Mohidul et al. (2013) [11] where majority of women were aged 20-30. It further indicates height of fertility and the age at which women marry. Majority (57.4%) had children between age 1-3 years. A larger percentage of (991.8%) gave birth to their children at the clinic and only 9.7% attended antenatal clinic sixteen (16) times and above. The Yoruba's constituted the main population of 74.4% which was similar to another study done in Ogun state in which 72% were Yoruba (Ademuyiwa and Sanni 2013) [1] . Results also indicated that 36.9% were artisans, 17.9% were traders were housewife, and. 39% had secondary school education, showing that majority of the respondents had secondary education as their highest education. This shows that most of the respondents had some level of formal education Majority of the respondents earned less than 30,000 per month. This study is in line with the findings Aloysius N. Maduforo (2010) [2] . Most of the pregnant women eat moderately about 49.2% while 38.5% of women had low nutritional knowledge score. This result did not support the 75% reported by Mathew, Akintayo and Ogunwale (2016) [5] in Ile-Ife Osun State. Low nutritional knowledge is considered one of the main causes of inadequate dietary behavior. Studies have reported that most pregnant women have misconceptions about nutrition and are poorly informed about dietary guidelines, which may negatively influence their food choices. About 68.7% of the pregnant women practiced food taboo. This result is in contrast with Ugwa Ea 2016 [11] on nutritional practices and taboos among pregnant women attending antenatal care at General hospital in Kano, northwest Nigeria which showed that all the pregnant women do not practice food taboo. Taboos relating to foods prevents pregnant women from accessing a well-balanced diet, resulting in high prevalence of low birth weight and harm to mother and baby. 80% of the pregnant women experienced diseases condition such as Diarrhea, heartburn, nausea and vomiting. This study concurred with 50-90% of pregnant women affected by these diseases during first semester and sometimes extending into later months of pregnancy reported by Clark et al. (2012) [3] constipation reduces consumption of food by suppressing the appetite and food intake which ultimately have effect on the nutritional status of women. Adequate nutrition during pregnancy is essential to ensure the growth, health, and development of fetus. Therefore, the result of Pearson chi-square correlation analysis showed that there was a significant relationship between the nutritional knowledge of the respondents and their dietary intake.

Conclusion

The increased in Low Nutritional knowledge of foods in this study intensify great need for nutrition counselling in antenatal clinics in urban and rural places in Nigeria to help teach pregnant women on the significance of healthy food choice throughout pregnancy which is key to healthy pregnancy and growth of the child. The assessment of the dietary habit showed that many pregnant women eat to fill their stomach with low nutritional knowledge of what they consume this may be as a result of restriction of some healthy food during pregnancy such as food taboo and diseases condition experienced by pregnant women which influence their dietary intake. There is need for nutrition counselling focused in the early stage of pregnancy on the importance of nutritional knowledge of dietary, followed by adequate consumption of nutritious food.

Figures and tables from the paper

Table 2. Distribution of Respondents by Socio-economic Characteristics
CharacteristicsFrequency (195)Percentage
Religion
Christian10955.9
Muslim8342.6
Others31.5
Tribe
Yoruba14574.4
Igbo3417.4
Hausa94.6
Others73.6
Educational Level
No formal Education2914.9
Primary2311.8

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Distribution of Respondents by Socio-economic Characteristics

Distribution of Respondents by Socio-economic Characteristics

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Table 3. Distribution of Respondents by Nutritional Knowledge N=195
StatementStrongly Agree F (%)Agree F (%)Undecided F (%)Disagree F (%)Strongly Disagree F (%)
Low calorie dense foods result in growth retardation and low birth weight15(7.7)71(36.4)51(26.2)28(14.4)30(15.4)
Vitamin C deficiency can result in premature defects21(10.8)68(34.9)69(35.4)28(14.4)9(4.6)
Iodine deficiency do not lead to severe birth defects47(24.1)26(13.3)70(35.9)40(20.5)12(6.2)
Meat, fish, milk, beans, egg are rich sources of protein24(13.3)71(36.4)58(28.7)38(19.5)7(3.6)
Low intake of iron rich foods can lead to increased risk of fetal or infant death26(13.8)52(26.7)71(36.4)29(14.9)17(8.7)
Products such as beans, peas helps to prevent anemia27(13.8)67(34.4)56(28.7)38(19.5)7(3.6)
Consumption of foods rich in Vitamin D such as egg yolk results in birth defects.10(5.1)62(31.8)65(33.3)27(13.8)
Calcium rich food such as milk, cheese help in the development of bone in fetus33(16.9)69(35.4)59(30.3)23(11.8)13(6.7)
Foods rich in zinc such as legumes, seeds, nut, soy product are essential for good health24(12.3)73(37.4)57(29.2)28(14.4)13(6.7)
Colored fruits and vegetables such as carrots, tomato, papaya etc. promote good vision24(12.3)73(37.4)57(29.3)28(14.4)13(6.7)
Unpasteurized milk, juices and raw egg is detrimental to the child during pregnancy35(17.9)69(35.4)50(25.6)32(16.4)9(4.6)
Overconsumption of foods during pregnancy can result in gestational diabetes8(4.1)29(14.9)47(24.1)76(39.0)35(17.9)
Snail has no nutritional benefit26(13.3)28(14.4)49(25.1)69(35.4)23(11.8)

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Table 3
Distribution of Respondents by Nutritional Knowledge N=195

Distribution of Respondents by Nutritional Knowledge N=195

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Table 4. Nutritional Knowledge Scores of the Respondents
Level of Knowledge—FrequencyPercentage
High(49-62)5729.2
Moderate(35-48)6332.3
Low(21-34)7538.5

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Table 4
Nutritional Knowledge Scores of the Respondents

Nutritional Knowledge Scores of the Respondents

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Table 5. Distribution of Respondents by Dietary Habit
Dietary HabitFrequencyPercentage
Skip meal
Yes8945.6
No1065.4
Meals always skipped
Breakfast199.7
Lunch178.7
Dinner5327.2
Reasons for skipping meal
Don’t like taking the meal105.1
To maintain my figure178.7
No time to cook or eat4422.6
Do not have appetite178.7
Number of times eaten a day
Twice94.6
Thrice199.7
More than16785.6
Composition of fruits and vegetables
Yes10148.2
No94-
Frequency of fruits and vegetables
Not appealing to the sight147.2
Not available in my area3719.0
Not fresh enough4322.1
It’s expensive73.6
Snacking
Yes11458.5
No8141.5
Number of times of snacking
Once199.7
Twice3015.4
Thrice2814.4
More than3819.5
Reasons for not snacking
Not available in my area2412.3
Don’t like snacks157.7
It’s irritating22113
Take food supplements
Yes8944.1
No10955.9
Take Alcohol
Yes4422.6
No15177.4
Reasons for taking Alcohol
Peer influence42.1
Family background94.6
Depression168.2
It is makes me active147.2
Reasons for not taking Alcohol
It is dangerous to my health3015.4
It can kill my baby3517.9
I personally don’t like it4623.6
It damages major organs in the body4121.0
Smoking partner or neighbor
Yes14373.3
No5226.7
Food taboo based on family history
Yes13468.7
No6131.3

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Table 5
Distribution of Respondents by Dietary Habit

Distribution of Respondents by Dietary Habit

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Table 6. Distribution of Respondents by Dietary intake using food group N=195
Food groupDailyThrice/WKTwice/WKRarelyNever
F e/AL,F (%)F (%)F (%)F (%)
White tubers and roots,72(36.9)97(49.7)(11(5.6)13(6.7)2(1.0)
Legumes nut and seed80(41.9)89(45.6)20(10.3)4(2.1)2(1.0)
Fats and oil034.4)101(51.8)22(11.3)4(2.1)1(0.5)
Cereals93(47.7)53(27.2)41(21.0)8(4.1)-
Dark green leafy vegetable43(22.1)102(52.3)32(16.4)18(9.2)-
Vitamin A rich vegetable44(22.6)84(43.1)42(21.5)17(8.7)8(4.1)
Vitamin A rich fruits40(20.5)87(44.6)34(17.4)26(13.3)8(4.1)
Other fruits44(22.6)90(46.2)38(19.5)21(10.8)2(1.0)
Milk and dairy products45(23.1)15(7.7)41(21.0)90(45.3)4(2.1)
Organ meat40(20.5)17(8.7)52(26.7)82(42.1)4(2.1)
Fish48(24.6)92(47.2)35(17.9)20(10.3)-
Baked products37(19.0)15(7.7)45(23.1)96(49.2)2(1.0)

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Table 6
Distribution of Respondents by Dietary intake using food group N=195

Distribution of Respondents by Dietary intake using food group N=195

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