| Literature DB >> 36090234 |
Eridiong O Onyenweaku1, Hema Kesa1, Alex K Tchuenchieu1,2, Anesu G Kuhudzai3.
Abstract
Background: The food security and nutrition of millions of people around the world is currently being threatened by the coronavirus disease 2019 (COVID-19) pandemic, an evolving health crisis. Aim: To evaluate the effect of the COVID-19 pandemic on nutrition and health of adults in Calabar, especially after the hard lockdown. Setting: Online cross-sectional survey in Calabar, Nigeria. Method: After sample size determination, an online questionnaire was designed, content-validated by nutrition experts and piloted on 20 respondents. The questionnaire link was circulated for 6 weeks (April-May, 2021). The questionnaire was structured to gather socio-economic data, lifestyles of the participants (especially younger adults) and changes in dietary intake and health. Descriptive statistics and Pearson's correlation were used to define the proportion of responses for each question and check for association.Entities:
Keywords: COVID-19; Calabar; NCDs; food frequency; food security; health; nutrition; pandemic
Year: 2022 PMID: 36090234 PMCID: PMC9453135 DOI: 10.4102/hsag.v27i0.1876
Source DB: PubMed Journal: Health SA ISSN: 1025-9848
Sociodemographic characteristics of the surveyed population (N = 385).
| Variable | Subvariable | Frequency | Percentage |
|---|---|---|---|
| Sex | Female | 185 | 48.05 |
| Male | 163 | 42.34 | |
| Prefer not to say | 37 | 9.61 | |
| Total | 385 | 100.00 | |
| Age group | 18–29 years | 184 | 47.79 |
| 30–39 years | 112 | 29.09 | |
| 40–49 years | 74 | 19.22 | |
| 50–59 years | 9 | 2.34 | |
| 60 years and above | 6 | 1.56 | |
| Total | 385 | 100.00 | |
| Marital status | Divorced | 30 | 7.79 |
| Married | 108 | 28.05 | |
| Single | 239 | 62.08 | |
| Widowed | 8 | 2.08 | |
| Total | 385 | 100.00 | |
| Education | No formal education | 3 | 0.78 |
| Primary school | 10 | 2.60 | |
| Secondary (high) School | 121 | 31.43 | |
| Tertiary institution | 251 | 65.19 | |
| Total | 385 | 100.00 | |
| Monthly income | 0–50 000 naira | 194 | 50.40 |
| 51 000–150 000 naira | 108 | 28.10 | |
| 151 000–300 000 naira | 59 | 15.30 | |
| Above 300 000 naira | 24 | 6.20 | |
| Total | 385 | 100.00 | |
| Household size | Live alone | 66 | 17.10 |
| 2 | 98 | 25.50 | |
| 3–6 | 163 | 42.30 | |
| More than 6 | 58 | 15.10 | |
| Total | 385 | 100.00 | |
| Employment sector | Public | 61 | 15.80 |
| Private | 107 | 27.80 | |
| Informal | 122 | 31.70 | |
| Unemployed | 95 | 24.70 | |
| Total | 385 | 100.00 |
Participants’ nutrition knowledge, attitudes and practices in the coronavirus disease 2019 context.
| Questions | Answers | Percentage responses ( |
|---|---|---|
| Do you know about the coronavirus pandemic (COVID-19)? | No | 6.00 |
| Yes | 80.20 | |
| Not sure | 13.80 | |
| What are the main clinical symptoms of COVID-19? | Fever | 91.00 |
| Respiratory distress | 92.00 | |
| Dry cough | 90.00 | |
| Does a healthy diet and lifestyle play a role in the prevention of COVID-19? | No | 1.30 |
| Yes | 75.10 | |
| Not sure | 23.60 | |
| The role of healthy diet in preventing infections and disease | Fights disease-causing organisms | 88.00 |
| Provides essential nutrients and strengthens the immune system | 95.00 | |
| None of the above | 36.00 | |
| How times do you have your meals per day? | Once | 1.00 |
| Twice | 40.00 | |
| Thrice | 44.00 | |
| More than thrice | 15.00 | |
| Do you skip meals? | No | 20.00 |
| Yes | 80.00 | |
| Which meals do you normally skip? | Breakfast | 25.00 |
| Lunch | 23.00 | |
| Dinner | 10.00 | |
| All (anyone) | 25.00 | |
| Most popular reason for skipping meals | Lack of time | 71.20 |
| Others – fasting, no appetite | 69.90 | |
| Watching weight | 65.50 | |
| I prefer snacks to food* | 58.20 |
COVID-19, coronavirus disease 2019.
FIGURE 1Change in quantity of food consumed.
FIGURE 2Changes in dietary consumption.
Participants’ perceptions of a healthy diet.
| Questions | Answers | Percentage responses ( |
|---|---|---|
| Has the knowledge you have gained during the pandemic positively affected your perception of certain foods? | No – My food choices have not changed | 21.0 |
| Yes – I now make healthier food choices | 68.3 | |
| Indifferent | 10.6 | |
| Consumption of green vegetables, onions, mushrooms, beans or peas and other micronutrient-rich foods can help boost the body’s immunity. | True | 79.0 |
| False | 2.6 | |
| I do not know | 18.4 | |
| On a general note, do you have access to the following: | Healthy balanced meals | 88.3 |
| Enough fruits | 79.5 | |
| Enough vegetables | 80.3 | |
| Healthy snacks | 70.4 | |
| Did the coronavirus pandemic affect your job or business adversely? | No | 43.4 |
| Yes | 25.5 | |
| Not certain | 31.1 |
Lifestyle habits and health risks scores associated with noncommunicable diseases.
| Questions | Answers | Frequency | Percentage |
|---|---|---|---|
| Do you consume alcohol? | No | 290 | 75.3 |
| Yes | 195 | 24.7 | |
| Total | 385 | 100.0 | |
| Weekly consumption of alcohol | Less than 3 times | 97 | 49.7 |
| 3–5 times | 65 | 33.3 | |
| More than 5 times | 33 | 17.0 | |
| Total | 195 | 100.0 | |
| Do you smoke tobacco or cigarettes? | No | 342 | 88.8 |
| Yes | 43 | 11.2 | |
| Total | 385 | 100.0 | |
| Weekly smoking of tobacco or cigarettes | Less than 3 times | 22 | 51.2 |
| 3–5 times | 17 | 39.5 | |
| More than 5 times | 4 | 9.3 | |
| Total | 43 | 100.0 | |
| Hypertensive? | No | 382 | 99.2 |
| Yes | 3 | 0.8 | |
| Total | 385 | 100.0 | |
| Diabetic? | No | 380 | 98.7 |
| Yes | 5 | 1.3 | |
| Total | 385 | 100.0 | |
| Any other recently diagnosed health condition? | No | 375 | 97.4 |
| Yes | 10 | 2.6 | |
| Total | 385 | 100.0 |
Change in lifestyle/associated health risk factors with sociodemographic variables.
| Variables | Summary | Pearson chi-square | |||||
|---|---|---|---|---|---|---|---|
| High | Low | Medium | Total | Value |
| Asymptotic Significance (two-sided) | |
|
| 7 324 | 4 | 0.120 | ||||
| Female | 161 | 4 | 20 | 185 | |||
| Male | 127 | 9 | 27 | 163 | |||
| Prefer not to say | 32 | 0 | 5 | 37 | |||
|
| 27 502 | 8 | 0.001 | ||||
| 18–29 | 166 | 0 | 18 | 184 | |||
| 30–39 | 91 | 8 | 13 | 112 | |||
| 40–49 | 51 | 5 | 18 | 74 | |||
| 50–59 | 8 | 0 | 1 | 9 | |||
| 60 and above | 4 | 0 | 2 | 6 | |||
|
| 23 525 | 6 | 0.001 | ||||
| Divorced | 27 | 2 | 1 | 30 | |||
| Married | 76 | 8 | 24 | 108 | |||
| Single | 211 | 3 | 25 | 239 | |||
| Widowed | 6 | 0 | 2 | 8 | |||
|
| 19 767 | 6 | 0.003 | ||||
| No formal education | 3 | 0 | 0 | 3 | |||
| Primary school | 5 | 2 | 3 | 10 | |||
| Secondary (high) school | 97 | 8 | 16 | 121 | |||
| Tertiary institution | 215 | 3 | 33 | 251 | |||
|
| 28 818 | 6 | 0.000 | ||||
| 0–50 000 naira | 178 | 0 | 16 | 194 | |||
| 151 000–300 000 naira | 41 | 6 | 12 | 59 | |||
| 51 000–150 000 naira | 83 | 5 | 20 | 108 | |||
| Above 300 000 naira | 18 | 2 | 4 | 24 | |||
|
| 26 616 | 6 | 0.000 | ||||
| 2 | 93 | 0 | 5 | 98 | |||
| 3–6 | 119 | 9 | 35 | 163 | |||
| Live alone | 61 | 1 | 4 | 66 | |||
| More than 6 | 47 | 3 | 8 | 58 | |||
|
| 8 476 | 6 | 0.205 | ||||
| Informal | 102 | 7 | 13 | 122 | |||
| Private | 87 | 2 | 18 | 107 | |||
| Public | 47 | 3 | 11 | 61 | |||
| Unemployed | 84 | 1 | 10 | 95 | |||
df, degrees of freedom;
, Pearson’s P value