Rebecca Kanter

Global Gender Disparities in Obesity: A Review

There is a global obesity pandemic. However, the prevalence of overweight and obesity among men and women varies greatly within and between countries, and overall, more women are obese than men. These gender disparities in overweight and obesity are exacerbated among women in developing countries, particularly in the Middle East and North Africa. Yet, in developed countries, more men are overweight than women. Current knowledge suggests that myriad sociocultural dynamics throughout the world exacerbate gender disparities in excess weight gain. Different contextual factors drive gender differences in food consumption, and women often report consuming healthier foods, yet may consume more sugar-laden foods, than men. Acculturation, through complex sociocultural pathways, affects weight gain among both men and women. The nutrition transition taking place in many developing countries has also affected excess weight gain among both genders, but has had an even greater impact on the physical activity levels of women. Furthermore, in some countries, cultural values favor larger body size among women or men as a sign of fertility, healthfulness, or prosperity. As the global obesity pandemic continues, more research on gender disparities in overweight and obesity will improve the understanding of this pandemic.

Obesity and central adiposity in Mexican adults: results from the Mexican National Health and Nutrition Survey 2006.

OBJECTIVE To estimate the prevalence of overweight, obesity and central adiposity in Mexico, and to explore trends compared to the previous Mexican National Health Survey (ENSA 2000) and to Mexican-Americans. MATERIAL AND METHODS The Mexican National Health and Nutrition Survey 2006 (ENSANUT 2006) was used to describe overweight, obesity and central adiposity. Trends over time were assessed using the ENSA 2000 and by comparing the ENSANUT 2006 results to those of Mexican-Americans using the United States National Health and Nutrition Examination Survey (NHANES) 1999-2000 and 2005-2006. RESULTS A total of 33023 adults > 20 years old were included; 39.7% were found to be overweight and 29.9% were found to be obese; 75.9% of all adults had abdominal obesity. In Mexico between 2000 and 2006, the combined prevalence of overweight and obesity in adults increased approximately 12%. Mexican-Americans showed a higher prevalence of morbid obesity compared to native Mexicans. CONCLUSIONS Mexico has experienced a rapid increase in the number of adults who have experienced excess weight gain between the years 2000 and 2006.

The double burden of malnutrition in indigenous and nonindigenous Guatemalan populations

BACKGROUND As the prevalence of obesity increases in developing countries, the double burden of malnutrition (DBM) has become a public health problem, particularly in countries such as Guatemala with a high concentration of indigenous communities where the prevalence of stunting remains high. OBJECTIVE The aim was to describe and analyze the prevalence of DBM over time (1998-2008) in indigenous and nonindigenous Guatemalan populations. DESIGN We used 3 National Maternal and Child Health Surveys conducted in Guatemala between 1998 and 2008 that include anthropometric data from children aged 0-60 mo and women of reproductive age (15-49 y). We assessed the prevalence of childhood stunting and both child and adult female overweight and obesity between 1998 and 2008. For the year 2008, we assessed the prevalence of DBM at the household (a stunted child and an overweight mother) and individual (stunting/short stature and overweight or anemia and overweight in the same individual) levels and compared the expected and observed prevalence rates to test if the coexistence of the DBM conditions corresponded to expected values. RESULTS Between 1998 and 2008, the prevalence of childhood stunting decreased in both indigenous and nonindigenous populations, whereas overweight and obesity in women increased faster in indigenous populations than in nonindigenous populations (0.91% compared with 0.38%/y; P-trend < 0.01). In 2008, the prevalence of stunted children was 28.8 percentage points higher and of overweight women 4.6 percentage points lower in indigenous compared with nonindigenous populations (63.7% compared with 34.9% and 46.7% compared with 51.3%, respectively). DBM at the household and individual levels was higher in indigenous populations and was higher in geographic areas in which most of the population was indigenous, where there was also a greater prevalence of stunting and DBM at the individual level, both in women and children. CONCLUSIONS In Guatemala, DBM is more prevalent in indigenous than in nonindigenous populations at the household and individual levels. To enhance effectiveness, current strategies of national policies and programs should consider DBM and focus on indigenous populations.

Effectiveness of an mHealth intervention to improve the cardiometabolic profile of people with prehypertension in low-resource urban settings in Latin America: a randomised controlled trial

BACKGROUND Poor diet and physical inactivity strongly affect the growing epidemic of cardiovascular disease worldwide. Mobile phone-based health interventions (mHealth) have been shown to help promote weight loss and increase physical activity and are an attractive approach for health-care systems with limited resources. We aimed to assess whether mHealth with advice for lifestyle improvements would reduce blood pressure, promote weight loss, and improve diet quality and physical activity in individuals with prehypertension living in low-resource urban settings in Latin America. METHODS In this parallel-group, randomised controlled trial, we recruited individuals (aged 30-60 years) with systolic blood pressure between 120 and 139 mm Hg, diastolic blood pressure between 80 and 89 mm Hg, or both from health-care centres, workplaces, and community centres in low-resource urban settings in Argentina, Guatemala, and Peru. Participants were randomly assigned to receive either monthly motivational counselling calls and weekly personalised text messages to their mobile phones about diet quality and physical activity for 12 months, or usual care. Randomisation was stratified by country, and we applied minimisation by sex and age groups. Study personnel collecting and analysing data were masked to group assignment. The primary outcomes were mean between-group differences in the changes in systolic and diastolic blood pressure from baseline to 12 months in an intention-to-treat analysis of all participants who completed assessments at 12 months. Secondary outcome measures were changes in bodyweight, waist circumference, and self-reported target behaviours from baseline to 12 months. The trial is registered with ClinicalTrials.gov, number NCT01295216. FINDINGS Between March 1, 2012, and Nov 30, 2012, we randomly assigned 637 participants to receive intervention (n=316) or usual care (n=321). 266 (84%) participants in the intervention group and 287 (89%) in the control group were assessed at 12 months. The intervention did not affect change in systolic blood pressure (mean net change -0·37 mm Hg [95% CI -2·15 to 1·40]; p=0·43) or diastolic blood pressure (0·01 mm Hg [-1·29 to 1·32]; p=0·99) compared with usual care. However, we noted a significant net reduction in bodyweight (-0·66 kg [-1·24 to -0·07]; p=0·04) and intake of high-fat and high-sugar foods (-0·75 [-1·30 to -0·20]; p=0·008) in the intervention group compared with the control group. In a prespecified subanalysis, we found that participants in the intervention group who received more than 75% of the calls (nine or more, from a maximum of 12) had a greater reduction of bodyweight (-4·85 [-8·21 to -1·48]) and waist circumference (-3·31 [-5·95 to -0·67]) than participants in the control group. Additionally, participants in the intervention group had an increase in the intake of fruits and vegetables and a decrease in diets high in sodium, fat, and simple sugars relative to participants in the control group. However, we found no changes in systolic blood pressure, diasatolic blood pressure, or physical activity in the group of participants who received more than 75% of the calls compared with the group who received less than 50% of the calls. INTERPRETATION Our mHealth-based intervention did not result in a change in blood pressure that differed from usual care, but was associated with a small reduction in bodyweight and an improvement in some dietary habits. We noted a dose-response effect, which signals potential opportunities for larger effects from similar interventions in low-resource settings. More research is needed on mHealth, particularly among people who are poor and disproportionally affected by the cardiovascular disease epidemic and who need effective and affordable interventions to help bridge the equity gap in the management of cardiometabolic risk factors. FUNDING National Heart, Lung, and Blood Institute (US National Institutes of Health) and the Medtronic Foundation.

Design and Multi-Country Validation of Text Messages for an mHealth Intervention for Primary Prevention of Progression to Hypertension in Latin America

Background Mobile health (mHealth) has been posited to contribute to the reduction in health gaps and has shown fast and widespread growth in developing countries. This growth demands understanding of, and preparedness for, local cultural contexts. Objective To describe the design and validation of text messages (short message service, SMS) that will be used for an mHealth behavioral change intervention to prevent hypertension in three Latin American countries: Argentina, Guatemala, and Peru. Methods An initial set of 64 SMS text messages were designed to promote healthy lifestyles among individuals in different stages of behavior change, addressing four key domains: salt and sodium intake, fruit and vegetable intake, consumption of high fat and sugar foods, and physical activity. The 64 SMS text messages were organized into nine subsets for field validation. In each country 36 people were recruited, half of them being male. Of the participants, 4 per country evaluated each subset of SMS text messages, which contained between 6 and 8 SMS text messages regarding different key domains and stages of change. The understanding and appeal of each SMS text message was assessed using a 7-item questionnaire. The understanding and appeal ratings were used to reach a final set of 56 SMS text messages. Results Overall, each of the 64 SMS text messages received a total of 12 evaluations (4 per country). The majority of evaluations—742 out of a total of 767 (96.7%) valid responses—revealed an adequate understanding of the key idea contained in the SMS text message. On a scale from 1 to 10, the average appeal score was 8.7 points, with a range of 4 to 10 points. Based on their low scores, 8 SMS text messages per country were discarded. Once the final set of 56 SMS text messages was established, and based on feedback obtained in the field, wording and content of some SMS text messages were improved. Of the final set, 9, 8, and 16 of the SMS text messages were improved based on participant evaluations from Argentina, Guatemala, and Peru, respectively. Most SMS text messages selected for the final set (49/56, 88%) were the same in all countries, except for small wording differences. Conclusions The final set of SMS text messages produced had very high rates of understanding and appeal in three different Latin American countries. This study highlights the importance of developing and validating a package of simple, preventative SMS text messages, grounded in evidence and theory, across three different Latin American countries with active engagement of end users.

A novel mobile phone application to assess nutrition environment measures in low- and middle-income countries.

Background Consumer nutrition environment measures are important to understanding the food environment, which affects individual dietary intake. A nutrition environment measures survey for supermarkets (NEMS-S) has been designed on paper for use in Guatemala. However, a paper survey is not an inconspicuous data collection method. Objective To design, pilot test, and validate the Guatemala NEMS-S in the form of a mobile phone application (mobile app). Methods CommCare, a free and open-source software application, was used to design the NEMS-S for Guatemala in the form of a mobile app. Two raters tested the mobile app in a single Guatemalan supermarket. Both the interrater and the test—retest reliability of the mobile app were determined using percent agreement and Cohens kappa score and compared with the interrater and test—retest reliability of the paper version. Results Interrater reliability was very high between the paper survey and the mobile app (Cohens kappa > 0.90). Test—retest reliability ranged from kappa 0.78 to 0.91. Between two certified NEMS-S raters, survey completion time using the mobile app was 5 minutes less than that with the paper form (35 vs. 40 minutes). Conclusions The NEMS-S mobile app provides for more rapid data collection, with equivalent reliability and validity to the NEMS-S paper version, with advantages over a paper-based survey of multiple language capability and concomitant data entry.

Implementation tells us more beyond pooled estimatesA secondary analysis of the GISMAL multi-country mHealth trial (Preprint)

Background The uptake of an intervention aimed at improving health-related lifestyles may be influenced by the participant’s stage of readiness to change behaviors. Objective We conducted secondary analysis of the Grupo de Investigación en Salud Móvil en América Latina (GISMAL) trial according to levels of uptake of intervention (dose-response) to explore outcomes by country, in order to verify the consistency of the trial’s pooled results, and by each participant’s stage of readiness to change a given lifestyle at baseline. The rationale for this secondary analysis is motivated by the original design of the GISMAL study that was independently powered for the primary outcome—blood pressure—for each country. Methods We conducted a secondary analysis of a mobile health (mHealth) multicountry trial conducted in Argentina, Guatemala, and Peru. The intervention consisted of monthly motivational phone calls by a trained nutritionist and weekly tailored text messages (short message service), over a 12-month period, aimed to enact change on 4 health-related behaviors: salt added to foods when cooking, consumption of high-fat and high-sugar foods, consumption of fruits or vegetables, and practice of physical activity. Results were stratified by country and by participants’ stage of readiness to change (precontemplation or contemplation; preparation or action; or maintenance) at baseline. Exposure (intervention uptake) was the level of intervention (<50%, 50%-74%, and ≥75%) received by the participant in terms of phone calls. Linear regressions were performed to model the outcomes of interest, presented as standardized mean values of the following: blood pressure, body weight, body mass index, waist circumference, physical activity, and the 4 health-related behaviors. Results For each outcome of interest, considering the intervention uptake, the magnitude and direction of the intervention effect differed by country and by participants’ stage of readiness to change at baseline. Among those in the high intervention uptake category, reductions in systolic blood pressure were only achieved in Peru, whereas fruit and vegetable consumption also showed reductions among those who were at the maintenance stage at baseline in Argentina and Guatemala. Conclusions Designing interventions oriented toward improving health-related lifestyle behaviors may benefit from recognizing baseline readiness to change and issues in implementation uptake. Trial Registration ClinicalTrials.gov NCT01295216; http://clinicaltrials.gov/ct2/show/NCT01295216 (Archived by WebCite at http://www.webcitation.org/72tMF0B7B).

Challenges of Implementing mHealth Interventions for Lifestyle Modification in Prehypertensive Subjects in Argentina, Guatemala, and Peru

The present study describes the processes related to the implementation of mHealth interventions for lifestyle modification in a randomized controlled trial conducted with prehypertensive subjects in Argentina, Guatemala, and Peru from low-resource settings. In the intervention group, participants received, during the course of a year, a monthly counseling call from a trained caller and a one-way weekly tailored short message service (SMS) to promote lifestyle modification. We evaluated reach, fidelity, dose, and attrition to assess how the intervention was implemented. 637 prehypertensives were included in the study, 321 in the control and 316 in the intervention group. Fifty-three percent were women with a mean age of 43.4 ± 8.4 years. Ninety-eight percent of the participants assigned to the mHealth arm were reached. The mean number of calls that had to be made to conduct a counseling call in prehypertensive subjects was 3.29 ± 1.55 (3.15 ± 1.54 in Argentina, 2.58 ± 0.96 in Guatemala and 4.12 ± 1.65 in Peru). The overall median number of counseling calls was six (IQR 4–8) with no differences observed across the countries. With regard to SMS, 58.3 % of the participants reported that they received the SMS. Attrition rate was 13 % (24 % in Argentina, 10.5 % in Guatemala, and 4.7 % in Peru). The delivery of the intervention was challenging in the three countries with differences among them in process results. Process evaluation methods and metrics are useful to assess whether the intervention program was delivered as planned.