Environmental, Behavioral, and Cultural Factors That Influence Healthy Eating in Rural Women of Childbearing Age

Mabry, Julia; Farris, Paige E.; Forro, Vanessa A.; Findholt, Nancy E.; Purnell, Jonathan Q.; Davis, Melinda M.

doi:10.1177/2333393615622176

Cited by 7 publications

(29 citation statements)

References 28 publications

(30 reference statements)

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“…Data collection for this study was structured in four phases ( Table 1 ). The first phase, formative data collection, explored the experiences of water insecurity through “go-along interviews” (Activity A) [ 46 , 47 ], Photovoice photo-elicitation interviews (Activity B) [ 48 , 49 ], and the Delphi method (Activity C) [ 50 ], which was conducted concurrently with focus group discussions (FGDs; Activity D)) [ 35 ]. The second phase involved the assembly (Activity E) and revision of the household water insecurity (HHWI) scale questions using cognitive interviews with non-cohort Kenyan women (n = 10) who had similar characteristics as our target population (Activity F) [ 51 – 53 ].…”

Section: Methodsmentioning

confidence: 99%

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A novel household water insecurity scale: Procedures and psychometric analysis among postpartum women in western Kenya

et al. 2018

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Our ability to measure household-level food insecurity has revealed its critical role in a range of physical, psychosocial, and health outcomes. Currently, there is no analogous, standardized instrument for quantifying household-level water insecurity, which prevents us from understanding both its prevalence and consequences. Therefore, our objectives were to develop and validate a household water insecurity scale appropriate for use in our cohort in western Kenya. We used a range of qualitative techniques to develop a preliminary set of 29 household water insecurity questions and administered those questions at 15 and 18 months postpartum, concurrent with a suite of other survey modules. These data were complemented by data on quantity of water used and stored, and microbiological quality. Inter-item and item-total correlations were performed to reduce scale items to 20. Exploratory factor and parallel analyses were used to determine the latent factor structure; a unidimensional scale was hypothesized and tested using confirmatory factor and bifactor analyses, along with multiple statistical fit indices. Reliability was assessed using Cronbach’s alpha and the coefficient of stability, which produced a coefficient alpha of 0.97 at 15 and 18 months postpartum and a coefficient of stability of 0.62. Predictive, convergent and discriminant validity of the final household water insecurity scale were supported based on relationships with food insecurity, perceived stress, per capita household water use, and time and money spent acquiring water. The resultant scale is a valid and reliable instrument. It can be used in this setting to test a range of hypotheses about the role of household water insecurity in numerous physical and psychosocial health outcomes, to identify the households most vulnerable to water insecurity, and to evaluate the effects of water-related interventions. To extend its applicability, we encourage efforts to develop a cross-culturally valid scale using robust qualitative and quantitative techniques.

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Section: Methodsmentioning

confidence: 99%

“…Photovoice applies documentary photography and critical dialogue to explore the lived experiences of people and as a means of sharing knowledge [ 48 , 49 ]. In this study, twenty women were lent digital cameras to take photos of their experiences of household water acquisition, use and insecurity.…”

Section: Methodsmentioning

confidence: 99%

A novel household water insecurity scale: Procedures and psychometric analysis among postpartum women in western Kenya

et al. 2018

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“…This will empower them in the selection of foods in a guided format whilst adhering to a dietary plan. Having equivalent macronutrient content in different meal options will help the patient to overcome obstacles like stress, anxiety, high-cost of nutrition plans [13,14], and isolation from family members, friends, and social reunions [15,16]. The method is intended to be applied in patients who need nutrition counseling during the NCP, and for nutrition services in ambulatory settings [11].…”

Section: Methodsmentioning

confidence: 99%

“…Professional feedback and self-monitoring should be continuous throughout the process to promote adherence and identify barriers or misconceptions [8,12]. The RDN must consider socioeconomic [13,17], educational, cultural [12,16], occupational, environmental [16], and emotional/mental factors [12,14], nutritional status, food preferences, physical activity, family history, food sensitivity, and biological determinants [17] (e.g., disease) as factors that influence food behavior and must be part of the NCP assessment (Figure 1) [5].…”

Section: Methodsmentioning

confidence: 99%

Dynamic Macronutrient Meal-Equivalent Menu Method: Towards Individual Nutrition Intervention Programs

Limon‐Miro

López-Teros

Astiazarán-García

2019

MPs

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Nutrition interventions should reflect the state of the art in science and dietetics to meet each patient’s requirements. Incorporating new knowledge into individualized food-based nutrition interventions is a major challenge, and health care professionals constantly search for novel approaches through specific and standardized methods. The dynamic macronutrient meal-equivalent menu method involves individuals making informed food choices that match their requirements, schedule, and food availability and affinity, helping them maintain a sense of control and motivation to adhere to a nutrition intervention program. This protocol includes the steps required to prepare a nutrition plan containing equivalent meal options consistent with the patient’s needs and preferences. Standard food servings are planned according to population specific dietary guidelines and individual characteristics. Servings are distributed at required mealtimes, and are all equivalent in energy and macronutrient content, providing every patient with interchangeable choices within each mealtime. This empowers individuals to select foods in a guided format whilst adhering to a dietary plan. Acceptable variations for calculated energy and macronutrient content are as follows: protein ±1 g/day, fat ±1 g/day, carbohydrate ±2 g/day, and energy ±15 kcal/day. Following this method, health care professionals can develop individualized nutrition intervention programs that may improve patients’ adherence, nutritional status, and health.

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“…Data collection for this study was structured in four phases (Table 1). The first phase, formative data collection, explored the experiences of water insecurity through “go-along interviews” (Activity A) [46,47], Photovoice photo elicitation interviews (Activity B) [48,49], and the Delphi method (Activity C) [50], which was conducted concurrently with focus group discussions (FGDs; Activity D)) [35]. The second phase involved the assembly (Activity E) and revision of HHWI scale questions using cognitive interviews (Activity F) [51–53].…”

Section: Methodsmentioning

confidence: 99%

A Novel Household Water Insecurity Scale: Procedures and Psychometric Analysis among Postpartum Women in Western Kenya

Boateng

Collins

Mbullo

et al. 2018

Preprint

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Our ability to measure household-level food insecurity has revealed its critical role in a range of physical, psychosocial, and health outcomes. Currently, there is no analogous, standardized instrument for quantifying household-level water insecurity, which prevents us from understanding both its prevalence and consequences. Therefore, our objectives were to develop and validate a household water insecurity scale appropriate for use in our cohort in western Kenya. We used a range of qualitative techniques to develop a preliminary set of 29 household water insecurity questions, and administered those questions at 15 and 18 months postpartum, concurrent with a suite of other survey modules. These data were complemented by data on quantity of water used and stored, and microbiological quality. Inter-item and item-total correlations were performed to reduce scale items to 20. Exploratory factor and parallel analyses were used to determine the latent factor structure; a unidimensional scale was hypothesized and tested using confirmatory factor and bifactor analyses, along with multiple statistical fit indices. Reliability was assessed using Cronbach’s alpha and the coefficient of stability, which produced a coefficient alpha of 0.97 at 15 and 18 months postpartum and a coefficient of stability of 0.62. Predictive, convergent and discriminant validity of the final household water insecurity scale were supported, based on relationships with food insecurity, perceived stress, per capita household water use, and time and money spent acquiring water. The resultant scale is a valid and reliable instrument. It can be used in this setting to test a range of hypotheses about the role of household water insecurity in numerous physical and psychosocial health outcomes, to identify the households most vulnerable to water insecurity, and to evaluate the effects of water-related interventions. To extend its applicability, we encourage efforts to develop a cross-culturally valid scale using robust qualitative and quantitative techniques.

show abstract

Environmental, Behavioral, and Cultural Factors That Influence Healthy Eating in Rural Women of Childbearing Age

Cited by 7 publications

References 28 publications

A novel household water insecurity scale: Procedures and psychometric analysis among postpartum women in western Kenya

A novel household water insecurity scale: Procedures and psychometric analysis among postpartum women in western Kenya

Dynamic Macronutrient Meal-Equivalent Menu Method: Towards Individual Nutrition Intervention Programs

A Novel Household Water Insecurity Scale: Procedures and Psychometric Analysis among Postpartum Women in Western Kenya

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