Browsing by Author "Diamond, Megan B."

Now showing 1 - 4 of 4
  • Thumbnail Image
    Item
    Consumption of processed food dietary patterns in four African populations
    (Public Health Nutrition, 2018) Holmes, Michelle D.; Dalal, Shona; Sewram, Vikash; Diamond, Megan B.; Adebamowo, Sally N.; Ajayi, Ikeoluwapo O.; Adebamowo, Clement; Chiwanga, Faraja S.; Njelekela, Marina; Laurence, Carien; Volmink, Jimmy; Bajunirwe, Francis; Nankya-Mutyoba, Joan; Guwatudde, David; Reid, Todd G.; Willett, Walter C.; Adami, Hans-Olov; Fung, Teresa T.
    To identify predominant dietary patterns in four African populations and examine their association with obesity. Design: Cross-sectional study. Setting/Subjects: We used data from the Africa/Harvard School of Public Health Partnership for Cohort Research and Training (PaCT) pilot study established to investigate the feasibility of a multi-country longitudinal study of noncommunicable chronic disease in sub-Saharan Africa. We applied principal component analysis to dietary intake data collected from an FFQ developed for PaCT to ascertain dietary patterns in Tanzania, South Africa, and peri-urban and rural Uganda. The sample consisted of 444 women and 294 men. Results: We identified two dietary patterns: the Mixed Diet pattern characterized by high intakes of unprocessed foods such as vegetables and fresh fish, but also cold cuts and refined grains; and the Processed Diet pattern characterized by high intakes of salad dressing, cold cuts and sweets. Women in the highest tertile of the Processed Diet pattern score were 3·00 times more likely to be overweight (95 % CI 1·66, 5·45; prevalence=74 %) and 4·24 times more likely to be obese (95 % CI 2·23, 8·05; prevalence=44 %) than women in this pattern’s lowest tertile (both P<0·0001; prevalence=47 and 14 %, respectively). We found similarly strong associations in men. There was no association between the Mixed Diet pattern and overweight or obesity. Conclusions: We identified two major dietary patterns in several African populations, a Mixed Diet pattern and a Processed Diet pattern. The Processed Diet pattern was associated with obesity.
  • Thumbnail Image
    Item
    Prevalence and risk factor for injury in sub-Saharan Africa: a multicountry study
    (Injury prevention, 2018) Diamond, Megan B.; Dalal, Shona; Adebamowo, Clement; Guwatudde, David; Laurence, Carien; Ajayi, keoluwapo O.; Bajunirwe, Francis; Njelekela, Marina A.; Chiwanga, Faraja; Adami, Hans-Olov; Nankya-Mutyoba, Joan; Kalyesubula, Robert; Reid, Todd G.; Hemenway, David; Holmes, Michelle D.
    Injury-related morbidity is a neglected health concern in many low-income and middle-income countries. Most injury data in Africa have been collected from hospital-based studies, and few studies have occurred across multiple countries. Using data from a novel cohort, we examined the prevalence and incidence of serious injuries and associated risk factors across five sites in sub-Saharan Africa (SSA).A common baseline and follow-up survey was administered to participants. The study population included 1316 persons at baseline and 904 persons at follow-up. Frequencies were calculated, and logistic regression models were used to assess risk factors for injury.A total of 233 (17.7%) persons reported a serious injury at baseline and 60 (6.6%) reported a serious injury 6 months later at follow-up. Sixty-nine per cent of participants responded to the follow-up questionnaire. At baseline and follow-up, the most common cause of serious injury at urban sites was transport related, followed by poison/overdose. In rural Uganda, sharp instruments injuries were most common, followed by transport-related injuries. Living at an urban site was associated with an increased odds for serious injury compared with those at the rural site (OR: 1.83, 95% CI 1.15 to 2.90). Participants who consumed above a moderate amount of alcohol were at a higher risk of serious injury compared with those who did not consume alcohol (OR: 1.86, 95% CI 1.02 to 3.41). High level of education was an important risk factor for injury.At baseline and follow-up, common causes of serious injury were transport related, sharp instrument and poison/overdose. Alcohol consumption, urban location and education are important risk factors for injury. It is feasible to collect longitudinal injury data using a standardised questionnaire across multiples sites in SSA. Longitudinal data collection should be leveraged to obtain robust data on risk factors for injury in SSA.
  • Thumbnail Image
    Item
    Urban and rural prevalence of diabetes and prediabetes and risk factors associated with diabetes in Tanzania and Uganda
    (Global Health Action, 2016) Chiwanga, Faraja S.; Njelekela, Marina A.; Diamond, Megan B.; Bajunirwe, Francis; Guwatudde, David; Nankya-Mutyoba, Joan; Kalyesubula, Robert; Adebamowo, Clement; Ajayi, IkeOluwapo; Reid, Todd G.; Volmink, Jimmy; Laurence, Carien; Dalal, Shona
    The increase in prevalence of diabetes and pre-diabetes in sub-Saharan Africa underlines the importance of understanding its magnitude and causes in different population groups. We analyzed data from the Africa/Harvard Partnership for Cohort Research and Training (PaCT) studies to determine the prevalence of diabetes and pre-diabetes and risk factors associated with diabetes. Methodology: Participants were randomly selected from peri-urban (n 297) and rural (n 200) communities in Uganda, and teachers were recruited from schools (n 229) in urban Tanzania. We used a standardized questionnaire to collect socio-demographic and self-reported disease status including diabetes status. Blood glucose was also measured after participants fasted for 8 h. We used standard protocols for anthropometric and blood pressure measurement. Results: The overall prevalence of diabetes was 10.1% and was highest in rural Ugandan residents (16.1%) compared to teachers in Tanzania (8.3%) and peri-urban Ugandan residents (7.6%). The prevalence of prediabetes was 13.8%. The prevalence of self-reported diabetes was low across all sites, where 68% of participants with diabetes were not captured by self-report. In multivariable logistic regression analysis, family history (OR 2.5, 95% CI: 1.1, 5.6) and hypertension (OR 2.3, 95% CI: 1.1, 5.2) were significantly associated with diabetes. Conclusions: The prevalence of diabetes and pre-diabetes in Uganda and Tanzania is high, differs markedly between population groups, and remains undiagnosed in an alarmingly high proportion of individuals. These findings highlight the need for large-scale, prospective studies to accurately quantify the burden and identify effective intervention and treatment strategies across diverse African populations.
  • Thumbnail Image
    Item
    Urban–Rural And Geographic Differences In Overweight And Obesity In Four Sub-Saharan African Adult Populations: A Multi-Country Cross-Sectional Study
    (BMC public health, 2016) Ajayi, IkeOluwapo O.; Adebamowo, Clement; Adami, Hans-Olov; Dalal, Shona; Diamond, Megan B.; Bajunirwe, Francis; Guwatudde, David; Njelekela, Marina; Mutyoba, Joan Nankya; Chiwanga, Faraja S.; Volmink, Jimmy; Kalyesubula, Robert; Laurence, Carien; Reid, Todd G.; Dockery, Douglas; Hemenway, David; Spiegelman, Donna; Holmes, Michelle D.
    Overweight and obesity are on the rise in developing countries including sub-Saharan Africa. We undertook a four-country survey to show the collective burden of these health conditions as they occur currently in sub-Saharan Africa and to determine the differences between urban and rural populations and other socio-economic factors.Participants were nurses in two hospitals in Nigeria (200), school teachers in South Africa (489) and Tanzania (229), and village residents in one peri-urban (297) and one rural location in Uganda (200) who completed a standardised questionnaire. Their height and weight were measured and body mass index calculated. Factor analysis procedure (Principal component) was used to generate a wealth index. Univariate and multivariate analyses with binary logistic regression models were conducted to examine the associations between potential correlates and the prevalence of overweight and obesity with 95 % confidence intervals.The prevalence of overweight and obese (combined) was 46 %, 48 %, 68 %, 75 % and 85 % in rural Uganda, peri-urban Uganda, Nigeria, Tanzania and South Africa (SA), respectively. Rural Uganda, Peri- urban Uganda, Nigeria, Tanzania and SA had obesity prevalence of 10 %, 14 %, 31 %, 40 % and 54 %, respectively (p < 0.001). Overall, prevalence of overweight was 374 (31 %) and obesity, 414 (34 %). Female sex was a predictor of overweight and obesity (combined) in peri-urban Uganda [AOR = 8.01; 95 % CI: 4.02, 15.96) and obesity in rural Uganda [AOR = 11.22; 95%CI: 2.27, 55.40), peri-urban Uganda [AOR = 27.80; 95 % CI: 7.13,108.41) and SA [AOR = 2.17; 95 % CI: 1.19, 4.00). Increasing age was a predictor of BMI > =25 kg/m2 in Nigeria [Age > =45 - AOR = 9.11; 95 % CI: 1.72, 48.16] and SA [AOR = 6.22; 95 % CI: 2.75, 14.07], while marital status was predictor of BMI > =25 kg/m2 only in peri-urban Uganda. [Married - AOR = 4.49; 95 % CI: 1.74, 11.57]. Those in Nigeria [AOR = 2.56; 95 % CI: 1.45, 4.53], SA [AOR = 4.97; 95 % CI: 3.18, 7.78], and Tanzania [AOR = 2.68; 95 % CI: 1.60, 4.49] were more likely to have BMI > =25 kg/m2 compared with the rural and peri-urban sites.The high prevalence of overweight and obesity in these sub-Saharan African countries and the differentials in prevalence and risk factors further highlights the need for urgent focused intervention to stem this trend, especially among women, professionals and urban dwellers.