Prevalence and factors associated with overweight and obesity in Kenya
Overweight and obesity rates continue to rise globally and are associated with increased chronic disease morbidity and mortality. There is evidence of high overweight and obesity prevalence in Kenya, however; a gap exists in the knowledge of national prevalence and predictors of overweight and obesi...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2021-06-01
|
| Series: | Preventive Medicine Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2211335521000310 |
| _version_ | 1818899660528418816 |
|---|---|
| author | Rahma Mkuu Adam Barry Gerald Yonga Fredrick Nafukho Cort Wernz Tamika Gilreath Muhammad A.B. Chowdhury Idethia Shevon Harvey |
| author_facet | Rahma Mkuu Adam Barry Gerald Yonga Fredrick Nafukho Cort Wernz Tamika Gilreath Muhammad A.B. Chowdhury Idethia Shevon Harvey |
| author_sort | Rahma Mkuu |
| collection | DOAJ |
| description | Overweight and obesity rates continue to rise globally and are associated with increased chronic disease morbidity and mortality. There is evidence of high overweight and obesity prevalence in Kenya, however; a gap exists in the knowledge of national prevalence and predictors of overweight and obesity.This cross-sectional study examined data from the 2015 World Health Organization (WHO) Kenya STEPwise Survey—the first nationally representative survey to objectively measure body mass index (BMI) among Kenyan men and women. Descriptive and logistic regression analysis of 4,340 adults aged 18–69 years examined the prevalence, sociodemographic, and behavioral risk factors associated with having overweight or obesity (overweight/obesity) defined by WHOThe mean BMI was 23.51 with 31.13% having overweight/obese. The likelihood of having overweight/obesity was significantly higher among married individuals [odds ratio (OR) = 1.78, 95% confidence interval (CI) 1.19, 2.66], women (OR = 4.08, 95% CI 3.02, 5.51), urban dwellers (OR = 1.70, 95% CI 1.28, 2.25) and middle wealth or higher (OR = 2.45, 95% CI 1.91, 3.14). The likelihood of having overweight/obesity increased by age, compared to 18–29-year olds; (30–44 years (OR = 2.05 95% CI 1.50, 2.80), 45–59-year olds (OR = 2.67, 95% CI 1.97, 3.63), 60–69-year olds (OR = 3.00, 95% CI 1.99, 4.51). Adults with completed primary education or more had higher odd of having overweight/obesity (OR = 2.15, 95% CI 1.72, 2.70). compared to adults with less than primary education.Likelihood of having Overweight/obesity was highest among women, urban residents, and individuals with high education and wealth. Future studies should ascertain drivers of overweight/obesity to inform Targeted and tailored interventions and policies amongst high-risk groups. |
| first_indexed | 2024-12-19T19:51:30Z |
| format | Article |
| id | doaj.art-67d91b5c2b3d4f9abe51a2667e364cc2 |
| institution | Directory Open Access Journal |
| issn | 2211-3355 |
| language | English |
| last_indexed | 2024-12-19T19:51:30Z |
| publishDate | 2021-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Preventive Medicine Reports |
| spelling | doaj.art-67d91b5c2b3d4f9abe51a2667e364cc22022-12-21T20:07:57ZengElsevierPreventive Medicine Reports2211-33552021-06-0122101340Prevalence and factors associated with overweight and obesity in KenyaRahma Mkuu0Adam Barry1Gerald Yonga2Fredrick Nafukho3Cort Wernz4Tamika Gilreath5Muhammad A.B. Chowdhury6Idethia Shevon Harvey7University of Florida, P.O Box 100177, Gainesville, FL 32616, United States; Corresponding author.Texas A&M University, 108 GGB, 2929 Research Pw, College Station, TX 77843, United StatesUniversity of Nairobi, KNH, P. O. Box 19676, Nairobi, KenyaTexas A&M University, 804B EDCT, 540 Ross St, College Station, TX 77843, United StatesBaylor College of Medicine, One Baylor Plaza, Houston, TX 77030, United StatesTexas A&M University, 311F BLOC, 155 Ireland St, College Station, TX 77843, United StatesUniversity of Florida, PO Box 100186, Gainesville, FL 32610, United StatesTexas A&M University, 266 GGB, 2929 Research Pw, College Station, TX 77843, United StatesOverweight and obesity rates continue to rise globally and are associated with increased chronic disease morbidity and mortality. There is evidence of high overweight and obesity prevalence in Kenya, however; a gap exists in the knowledge of national prevalence and predictors of overweight and obesity.This cross-sectional study examined data from the 2015 World Health Organization (WHO) Kenya STEPwise Survey—the first nationally representative survey to objectively measure body mass index (BMI) among Kenyan men and women. Descriptive and logistic regression analysis of 4,340 adults aged 18–69 years examined the prevalence, sociodemographic, and behavioral risk factors associated with having overweight or obesity (overweight/obesity) defined by WHOThe mean BMI was 23.51 with 31.13% having overweight/obese. The likelihood of having overweight/obesity was significantly higher among married individuals [odds ratio (OR) = 1.78, 95% confidence interval (CI) 1.19, 2.66], women (OR = 4.08, 95% CI 3.02, 5.51), urban dwellers (OR = 1.70, 95% CI 1.28, 2.25) and middle wealth or higher (OR = 2.45, 95% CI 1.91, 3.14). The likelihood of having overweight/obesity increased by age, compared to 18–29-year olds; (30–44 years (OR = 2.05 95% CI 1.50, 2.80), 45–59-year olds (OR = 2.67, 95% CI 1.97, 3.63), 60–69-year olds (OR = 3.00, 95% CI 1.99, 4.51). Adults with completed primary education or more had higher odd of having overweight/obesity (OR = 2.15, 95% CI 1.72, 2.70). compared to adults with less than primary education.Likelihood of having Overweight/obesity was highest among women, urban residents, and individuals with high education and wealth. Future studies should ascertain drivers of overweight/obesity to inform Targeted and tailored interventions and policies amongst high-risk groups.http://www.sciencedirect.com/science/article/pii/S2211335521000310Overweight and ObesityPrevalenceRisk Factors |
| spellingShingle | Rahma Mkuu Adam Barry Gerald Yonga Fredrick Nafukho Cort Wernz Tamika Gilreath Muhammad A.B. Chowdhury Idethia Shevon Harvey Prevalence and factors associated with overweight and obesity in Kenya Preventive Medicine Reports Overweight and Obesity Prevalence Risk Factors |
| title | Prevalence and factors associated with overweight and obesity in Kenya |
| title_full | Prevalence and factors associated with overweight and obesity in Kenya |
| title_fullStr | Prevalence and factors associated with overweight and obesity in Kenya |
| title_full_unstemmed | Prevalence and factors associated with overweight and obesity in Kenya |
| title_short | Prevalence and factors associated with overweight and obesity in Kenya |
| title_sort | prevalence and factors associated with overweight and obesity in kenya |
| topic | Overweight and Obesity Prevalence Risk Factors |
| url | http://www.sciencedirect.com/science/article/pii/S2211335521000310 |
| work_keys_str_mv | AT rahmamkuu prevalenceandfactorsassociatedwithoverweightandobesityinkenya AT adambarry prevalenceandfactorsassociatedwithoverweightandobesityinkenya AT geraldyonga prevalenceandfactorsassociatedwithoverweightandobesityinkenya AT fredricknafukho prevalenceandfactorsassociatedwithoverweightandobesityinkenya AT cortwernz prevalenceandfactorsassociatedwithoverweightandobesityinkenya AT tamikagilreath prevalenceandfactorsassociatedwithoverweightandobesityinkenya AT muhammadabchowdhury prevalenceandfactorsassociatedwithoverweightandobesityinkenya AT idethiashevonharvey prevalenceandfactorsassociatedwithoverweightandobesityinkenya |