Sociodemographics
Three hundred thirty-one pregnant women were screened, of whom 25.1% lived in the Bosque neighbourhood, 16.6% in the Gardenias neighbourhood, 5.1% in the Villa Caracas neighbourhood, 4.2% in the Sourdi neighbourhood, 4.5% in the Villa San Pablo and/or Florez neighbourhood, and 44.5% in other neighbourhoods did not reach a frequency of 0.30%.
The types of housing mentioned by respondents were mostly flats and houses (48.3% and 41.7%, respectively). To a lesser extent, rooms in tenements or other types of structures were identified (10.3%). Additionally, the predominant type of housing was that which was fully paid for (57.4%) and rented or sublet (38.4%); only 1.5% said they were paying for their own house, and 2.7% said they were in pawn, usufruct and/or de facto occupancy (2.7%).
With regard to household members, information was collected from 331 households, which consisted of an average of 4.6 members. From these 331 households, sociodemographic information was collected for approximately 1,512 persons, a figure that varied by variable. This variability was because the survey was answered entirely by the pregnant woman, and in some cases, they did not remember all the information about their families.
On average, the age of the respondents was 23.5 years, while the minimum and maximum ages were 13 years and 48 years, respectively. regarding the educational level, 30.6% of the household members had level 1 education, i.e., primary education, while 24.5% had level 2 or 3 education, i.e., secondary education. Regarding activity, 34.7% were found to be working, and when asked about the type of work, 22.1% reported that they were unqualified employees and 17.2% reported that they were labourers (Table 1).
It is important to mention that 36.6% of the families were composed of a migrant population from Venezuela, a country located in northeastern Colombia.
Table 1. Socio-demographic information on households
Variable
|
Frequency
|
Percentage
|
Neighbourhood of residence
|
Bosque
|
83
|
25.1
|
Gardenias
|
55
|
16.6
|
Villa Caracas
|
17
|
5.1
|
Sourdi
|
14
|
4.2
|
Villa San Pablo/Villa San Flórez
|
15
|
4.5
|
Others neighbourhood
|
147
|
44.5*
|
Total
|
331
|
100
|
Type of housing
|
|
|
Flat
|
159
|
48
|
House
|
138
|
41.7
|
Rooms
|
23
|
7.0
|
Others type of structure
|
10
|
3.0
|
Other type of housing
|
1
|
0.3
|
Total
|
331
|
100
|
Sex
|
|
|
Men
|
704
|
46.1
|
Women
|
823
|
53.9
|
Total
|
1527*
|
100
|
Marital Status
|
|
|
Married
|
101
|
6.7
|
Divorced
|
21
|
1.4
|
Single
|
664
|
43.7
|
Unmarried partners
|
713
|
47
|
Widowed
|
18
|
1.2
|
Total
|
1517*
|
100
|
Educational Level
|
|
|
Level 0
|
326
|
22
|
Level 1
|
454
|
30.6
|
Level 2 & 3
|
364
|
24.5
|
Level 4 & 5
|
66
|
4.4
|
Level 6
|
13
|
0.9
|
No knowledge
|
95
|
6.4
|
No education
|
166
|
11.2
|
Total
|
1484*
|
100
|
Occupation
|
|
|
Looking for a job
|
57
|
3.8
|
Student
|
322
|
21.3
|
Unable to work
|
2
|
0.1
|
Home-based occupations
|
376
|
24.8
|
Pensioner
|
2
|
0.1
|
Unemployed
|
231
|
15.2
|
Working
|
525
|
34.7
|
Total
|
1515*
|
100
|
Type of activity
|
|
|
Artisan
|
6
|
1.1
|
Trader
|
41
|
7.8
|
Domestic employee
|
23
|
4.4
|
Unqualified employee
|
116
|
22.1
|
Qualified employee
|
25
|
4.8
|
Day labourer
|
16
|
3.1
|
Military or police
|
3
|
0.6
|
Labourer
|
90
|
17.2
|
Fisherman
|
1
|
0.2
|
Self-employed professional
|
6
|
1.1
|
Transport
|
37
|
7.1
|
Street vendor
|
74
|
14.1
|
Other
|
86
|
16.4
|
Total
|
524*
|
100
|
*The totals change according to the answers given by the pregnant women interviewed.
Food access
The decision to buy food was made by 66.8% of the pregnant women who responded to the survey. Similarly, 92.1% of women made the largest proportion of household food purchasing decisions. Of the food purchases, 78.0% were made by women.
The purchased food (bought, given away, taken from the shop or self-produced) is described in Table 2.
Table 2. Purchased food
Food
|
Frequency
|
Percentage
|
Oil
|
201
|
60.7
|
Rice*
|
342
|
103.3
|
Tuna
|
49
|
14.8
|
Oats
|
49
|
14.8
|
Bienestarina**
|
33
|
9.9
|
Coffee
|
45
|
13.5
|
Meat
|
264
|
79.7
|
Fruit
|
152
|
45.9
|
Flour
|
310
|
93.6
|
Eggs
|
155
|
46.8
|
Milk
|
129
|
38.9
|
Legumes
|
226
|
68.2
|
Bread
|
58
|
17.5
|
Potato
|
77
|
23.2
|
Plantain
|
69
|
20.8
|
Spaghettis
|
190
|
57.4
|
Chicken
|
218
|
65.8
|
Cold meats
|
43
|
12.9
|
Vegetables
|
188
|
56.7
|
Offals
|
54
|
16.3
|
Total
|
331
|
NA***
|
Rice is a food that some families bought and gave away simultaneously.
** It is a pre-cooked food based on a mixture of cereals, legumes and whole milk powder, with vitamins and minerals and essential fatty acids and easy to prepare. It contains amino-chelated micronutrients that improve absorption in the target population and has an adequate balance of essential amino acids. Contains no preservatives or colouring agents [19].
***NA: does not apply
In terms of the frequency of acquisition, 37.6% of food was acquired daily (especially foods such as rice, meat and eggs), 16.2% weekly, 23.5% fortnightly, 19.8% monthly and 2.9% every other day or two or three times a week. In turn, the most frequent type of acquisition was purchasing (87.8%), followed by given as a gift, taken from the shop and bought-given as a gift (10.6%, 1.2% and 0.4%, respectively). Among the foodstuffs given as gifts were milk, eggs, oil, rice, grains and pasta.
In addition, the most frequent places of purchase were shops (39.7%), supermarkets (40.9%) and granaries (12.2%); only 4.9% shopped at marketplaces, and 2.3% indicated places such as greengrocers, minimarkets or street markets. The average monthly amount of money spent on food by households was 99.75 USD (1 COP= 3277).
Food consumption
For this component, information was collected from 328 pregnant women.
Meal times
A total of 22.2% of the pregnant women usually ate food before breakfast, 93.9% usually ate breakfast, 44.8% had a morning snack, 94.8% usually ate lunch, 54.2% had an afternoon snack, 97.8% ate dinner and only 54.5% ate food after dinner.
Usual intake
The foods with the highest weekly average reported intakes were cereals such as rice and pasta (6.3 days per week); sweeteners such as honey, panela and sugar (5.1 days per week); liquid milk (4.1 days per week); and sweets such as candy (4 days per week). In contrast, high-protein foods such as meat, poultry and fish were consumed only 2.5 days per week, 2.3 days per week and 1.6 days per week, respectively, and the consumption of fruit and vegetables did not exceed 3.5 days per week.
Diary intake
It was identified that fruit in the form of juice (1.9 times a day), sweeteners such as sugar or honey (1.7 times a day), vegetable mixtures (1.7 times a day), sweets such as candies (1.6 times a day) and cereals such as rice or pasta (1.4 times a day) had the highest average daily consumption. However, high-protein foods such as eggs did not exceed the daily frequency of 1.2 times, and beef, veal, chigüiro, rabbit, goat or curi did not exceed the daily frequency of 1.1 times (Table 3).
Table 3. Diary intake
Grouping
|
Food Group / Practice
|
Minimum
|
Q1
|
Median
|
Mean
|
Q3
|
Maximum
|
Dairy products
|
Milk
|
1
|
1
|
1
|
1.3
|
2
|
5
|
Cheese, kumis, yogurt, suero costeño
|
1
|
1
|
1
|
1.3
|
1
|
5
|
Proteins
|
Eggs
|
1
|
1
|
1
|
1.2
|
1
|
3
|
Chicken
|
1
|
1
|
1
|
1
|
1
|
3
|
Beef, veal, chigüiro, rabbit, goat, goat, curí
|
1
|
1
|
1
|
1.1
|
1
|
6
|
Fish or shrimp
|
1
|
1
|
1
|
1.1
|
1
|
3
|
Canned tuna or sardines
|
1
|
1
|
1
|
1
|
1
|
3
|
Chicken giblets
|
1
|
1
|
1
|
1.1
|
1
|
3
|
Black pudding or offal of beef
|
1
|
1
|
1
|
1
|
1
|
3
|
Vegetal mixtures
|
Bienestarina
|
1
|
1
|
1
|
1.7
|
2
|
5
|
Other plant mixtures
|
1
|
1
|
1
|
1.3
|
1.5
|
2
|
Legumes
|
Legumes
|
1
|
1
|
1
|
1.1
|
1
|
5
|
Cereals
|
Rice or pasta
|
1
|
1
|
1
|
1.4
|
2
|
4
|
Bread
|
1
|
1
|
1
|
1.3
|
1
|
5
|
Arepa*
|
1
|
1
|
1
|
1.2
|
1
|
3
|
Cookies
|
1
|
1
|
1
|
1.3
|
2
|
5
|
Wholemeal foods
|
1
|
1
|
1
|
1.3
|
2
|
5
|
Potatoes and roots
|
Potatoes and plantains
|
1
|
1
|
1
|
1.2
|
1
|
4
|
Vegetables
|
Cooked vegetables
|
1
|
1
|
1
|
1.2
|
1
|
5
|
Raw vegetables
|
1
|
1
|
2
|
1.1
|
1
|
4
|
Fruits
|
Fruits in juice
|
1
|
1
|
1
|
1.9
|
3
|
6
|
Fruits
|
1
|
1
|
1
|
1.4
|
2
|
5
|
Fats
|
Butter, milk cream, lard
|
1
|
1
|
1
|
1.1
|
1
|
3
|
Sugars
|
Panela**, sugar, honey or panela
|
1
|
1
|
2
|
1.7
|
2
|
4
|
Sweets or candies
|
1
|
1
|
1
|
1.6
|
2
|
6
|
Soft drinks
|
1
|
1
|
1
|
1.3
|
1
|
5
|
Practices of public health interest
|
Alcohol
|
1
|
1
|
1
|
2
|
1
|
6
|
Coffee
|
1
|
1
|
1
|
1.1
|
1
|
5
|
Energy drinks
|
1
|
1
|
1
|
1
|
1
|
1
|
Fast food
|
1
|
1
|
1
|
1
|
1
|
3
|
Packaged food
|
1
|
1
|
1
|
1.2
|
1
|
5
|
Low-calorie foods
|
1
|
1
|
1
|
1
|
1
|
1
|
Fried food
|
1
|
1
|
1
|
1.2
|
1
|
3
|
Food prepared on the grill, charcoal or wood fire
|
1
|
1
|
1
|
1
|
1
|
3
|
Salt shaker
|
1
|
1
|
1
|
1.6
|
2
|
3
|
Meals prepared at home to eat at work
|
1
|
1
|
1
|
1.4
|
1
|
5
|
Food away from home
|
1
|
1
|
1
|
1
|
1
|
2
|
Eating while watching television, computer or screen
|
0
|
1
|
2
|
2
|
3
|
5
|
Total
|
|
328
|
NA*
|
|
|
|
|
* Type of food made of ground maize
**Is an unrefined whole cane sugar, typical of Latin America
Health and nutritional status
For this component, information was collected from 328 pregnant women.
Health affiliation
Only 10.1% of pregnant women were in the contributory scheme, while 54.9% were in the subsidised scheme. Similarly, 35.1% did not have any type of affiliation at the time of the survey.
Attendance at prenatal check-ups
A total of 66.5% of participants reported attending. Of the 33.5% who did not report attending, the reasons were as follows: 0.6% reported lack of time, 0.6% reported costly service, 0.6% reported poor quality service, 0.6% reported non-compliance, 4.0% reported too much paperwork, 1.1% reported not knowing the point of care, 18.9% reported delays in appointments, 1.1% reported delays in care, 1.7% reported not knowing they were entitled, and 4.3% reported other reasons such as not being affiliated and change of residence.
Nutritional status
Regarding the distribution by trimester, 29.6% were in the first trimester, 58.9% were in the second trimester, 9.0% were in the last trimester and 2.4% did not report the information. A total of 57.6% of the pregnant women reported knowing their prepregnancy weight. Regarding nutritional status assessed by anthropometry, it was found that 41.4% had an adequate BMI for gestational age, 23% were overweight for gestational age, 19.3% were underweight for gestational age, 13.9% were obese for gestational age and 2.4% did not have a gestational age for this calculation.
Micronutrient intakes
A total of 67.4% of the pregnant women indicated that they were prescribed iron, 54.4% were given iron, and 61.3% consumed iron. A total of 66.9% of the pregnant women mentioned that they were prescribed calcium, 53% were given calcium, and 61.8% consumed calcium. Seventy-two percent of the pregnant women reported that they were prescribed folic acid, 57.7% were given folic acid and 68% consumed folic acid.
knowledge about health and nutrition.
Awareness of warning signs showed that pregnant women most frequently recognized headache and discharge of fluid or blood from the vagina (31.4% and 28.7%, respectively). Pregnant women also reported other signs to a lesser extent, e.g., 11.9% swelling of the face and feet in the morning, 11.6% wheezing, 10.4% contractions, and 8.2% seeing lights.
In terms of knowledge about the practice of breastfeeding, 98.2% of the respondents considered breastfeeding their babies. A total of 53.3% of pregnant women were recommended to breastfeed exclusively for an average of 6.3 months, and 40.1% were recommended to breastfeed continuously with the introduction of food for an average of 15 months.