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  • Research article
  • Open Access
  • Open Peer Review

Association of parental social support with energy balance-related behaviors in low-income and ethnically diverse children: a cross-sectional study

  • 1Email author,
  • 2,
  • 3 and
  • 2
BMC Public HealthBMC series – open, inclusive and trusted201616:1182

https://doi.org/10.1186/s12889-016-3829-8

©  The Author(s). 2016

  • Received: 30 June 2016
  • Accepted: 9 November 2016
  • Published:
Open Peer Review reports

Abstract

Background

Parents play an important role in providing their children with social support for healthy eating and physical activity. However, different types of social support (e.g., instrumental, emotional, modeling, rules) might have different results on children’s actual behavior. The purpose of this study was to assess the association of the different types of social support with children’s physical activity and eating behaviors, as well as to examine whether these associations differ across racial/ethnic groups.

Methods

We surveyed 1169 low-income, ethnically diverse third graders and their caregivers to assess how children’s physical activity and eating behaviors (fruit and vegetable and sugar-sweetened beverage intake) were associated with instrumental social support, emotional social support, modeling, rules and availability of certain foods in the home. We used sequential linear regression to test the association of parental social support with a child’s physical activity and eating behaviors, adjusting for covariates, and then stratified to assess the differences in this association between racial/ethnic groups.

Results

Parental social support and covariates explained 9–13% of the variance in children’s energy balance-related behaviors. Family food culture was significantly associated with fruit and vegetable and sugar-sweetened beverage intake, with availability of sugar-sweetened beverages in the home also associated with sugar-sweetened beverage intake. Instrumental and emotional support for physical activity were significantly associated with the child’s physical activity. Results indicate that the association of various types of social support with children’s physical activity and eating behaviors differ across racial/ethnic groups.

Conclusions

These results provide considerations for future interventions that aim to enhance parental support to improve children’s energy balance-related behaviors.

Keywords

  • Social support
  • Physical activity
  • Nutrition
  • Minority populations
  • Child health

Background

Childhood obesity continues to be a significant problem in the United States. Approximately 34% of children ages 6–11 are overweight or obese [1]. Low-income and minority children are disproportionately affected [2]; about 46% of Hispanics and 38% of non-Hispanic Blacks ages 6–11 years old are overweight or obese, as compared to 29% of non-Hispanic Whites [1]. Weight gain occurs when there is an imbalance between energy intake and energy expenditure. Lack of physical activity (PA) as well as overconsumption of energy-dense foods, such as sugar-sweetened beverages (SSB), can affect this balance and subsequent changes in body mass index (BMI) or adiposity [3–5]. These eating and PA behaviors are developed at a young age and typically track into adulthood, highlighting the need to address them earlier in the life span [6–9].

Parents’ influence on children’s PA and eating behaviors is exercised largely through the social support that they provide [10–15]. A variety of parental social support behaviors for children’s eating and PA have been identified, including instrumental and emotional support, modeling, having rules, and certain foods being available or unavailable at home [16–19]. Instrumental social support refers to tangible behaviors, and is illustrated, for example, by parents helping their child select and prepare healthy snacks or helping them do physical activity [18, 20–22]. Emotional support is intangible and is evident when parents provide encouragement for eating healthy foods or engaging in PA [23, 24], and by demonstrating these behaviors themselves, parents model proper eating or exercise to their children [17, 25, 26]. Setting rules about healthy eating, for example, what or how much of a specific food the child may have, is another form of parental support that can influence behavior [27]. Lastly, ensuring that fruits and vegetables (FV) are readily available in the home and that SSB are not has been shown to be a significant predictor of healthy eating [17, 28–31]. Each type of social support serves a different role and the impact on behavior can vary across the different types [23, 32, 33]. A better understanding of how the different types of social support contribute to children’s behaviors can help inform parenting practices and interventions targeting parenting practices [18, 23].

Although there is a wealth of research demonstrating associations between parental social support and children’s energy-balance and related behaviors, little is known about these associations among low socioeconomic status (SES) and minority children [12, 34]. The identified link between parental social support and children’s energy balance-related behaviors may be different in low SES communities, given the important influence of the built and the food environments and their difference between high and low SES groups [35–38]. Although some studies have demonstrated that the relationship holds in low SES and minority groups [39–42], few researchers have investigated the relative importance of the various types of parental social support in these communities or have explicitly examined ethnic/racial differences [43, 44]. For example, Donnelly and Springer, found that social support was significantly associated with vegetable intake in Hispanic children; this association was not found in White or African-American children [42]. More research is needed on how the various types of parental social support are associated with PA and eating behaviors among low SES and minority children.

The purpose of this study was to assess the association of various types of parental social support with a child’s PA and healthy eating in a sample of low SES, ethnically diverse third-grade students. Additionally, we determined how these associations varied across racial/ethnic categories. For this study, healthy eating was operationalized as more consumption of FV and less consumption of SSB. PA was operationalized as the number of times in the previous week children participated in sports, dance or played outdoor games during which they were very active.

Methods

This study was approved by the University of Texas Health Science Center (HSC-SPH-10-0733) and the Texas A&M University Committees for the Protection of Human Subjects (2011–0012). The study was also approved by participating school districts’ Review Committees. Parents provided their written consent to participate, as well as written consent to let their child participate in the study. Students provided written assent at the time of data collection as well.

Study design

This research examines the baseline data of the Texas Go! Eat! Grow! (TGEG) study of third-grade students and their parents in Texas. Additional details on the project and the protocol have been published elsewhere [45, 46]. Briefly, the goal of the 5-year TGEG study was to assess the independent and combined impact of gardening, nutrition and PA interventions on the prevalence of healthy eating, PA, and obesity status among low-income, third-grade students.

Researchers recruited 28 schools in 5 geographically distinct areas in Central Texas that met the following inclusion criteria: 1) classified as a Title I school, 2) located within the study’s geographical area, 3) were currently implementing the Coordinated Approach to Child Health program as a coordinated school wellness program [47, 48], 4) commitment at the district, principal, and teacher levels to participate, and 5) were willing to allow research staff to come into the school to recruit and collect data from third- and fourth-grade students. Third-grade students at these schools were recruited at the start of the fall 2012 and 2013 school years (the intervention was implemented using a split cohort). Eligible students were enrolled as third-grade students in the participating school at the time of baseline data collection. Students were excluded if they had a special diet or if English or Spanish was not their primary language. Parents or primary caretakers of third-grade students were included as long as they were able to read English or Spanish. Researchers administered baseline questionnaires to the child and the parent/caregiver. Consenting parents completed questionnaires at home, while students completed their questionnaires in the classroom during school hours and were provided a small incentive, such as a lunch bag or water bottle. The baseline questionnaire was completed by 1326 third graders and 1206 parents. A total of 1169 parent-child dyads completed the questionnaire at baseline in fall 2012 and 2013.

Measures

The study measures are described below. Table 1 provides additional details on Cronbach’s α or Pearson’s r for the scales, response options, ranges, means and standard deviations for the social support variables. For all social support variables with more than one item, we calculated the scale score by multiplying the mean for the items in that variable by the number of items in that variable. All scales with 2 or more items demonstrated acceptable internal consistency [49, 50].
Table 1

Main independent variables

Source

Variable

# Items

Response options

Cronbach’s α

Pearson’s r

Potential Range

Actual Range

Mean (SD)

 

Social Support for Healthy Eating

Child

Family Food Culture

4

0 (Never or almost never) to 2 (almost always or always)

.64

NA

0–8

0–8

5.36 (1.80)

Parent

Instrumental support for healthy eating

7

0 (No) to 1 (Yes)

.76

NA

0–7

0–7

4.38 (2.04)

Parent

Home availability and accessibility of FV

6

0 (Never) to 3 (All of the time)

.72

NA

0–18

1–18

10.75 (3.57)

Parent

Home availability of SSB

1

0 (Never) to 3 (All of the time)

NA

NA

0–3

0–3

1.59 (.87)

Parent

Emotional support for healthy eating

6

0 (Strongly disagree) to 4 (Strongly agree)

.71

NA

0–24

0–24

17.66 (3.82)

Parent

Rules for healthy eating

3

0 (Strongly disagree) to 4 (Strongly agree)

.77

NA

0–12

0–12

8.96 (2.46)

Parent

Modeling vegetable intake

1

0 (Never) to 4 (About once a day)

NA

NA

0–4

0–4

3.48 (.84)

Parent

Modeling SSB

1

0 (Never) to 4 (About once a day)

NA

NA

0–4

0–4

2.79 (1.18)

 

Social Support for Physical Activity

Parent

Instrumental support for PA

2

0 (Never) to 7 (7 days)

NA

.46

0–14

0–14

3.96 (3.38)

Parent

Emotional support for PA

4

0 (Strongly disagree) to 4 (Strongly agree)

.74

NA

0–16

0–16

12.73 (2.52)

Parent

Modeling PA

1

0 (Never) to 4 (About once a day)

NA

NA

0–4

0–4

3.55 (.82)

Social support for healthy eating

We assessed family food culture using a four-question scale specifically developed for this study that asked children the following: how often they eat breakfast, eat evening meals, go out to eat, and help prepare food with their families. We measured instrumental support for healthy eating using an adapted scale of seven questions from a previously validated measure that asked if parents did several different diet-related activities with their child the previous week, including buying vegetables that their child liked or helping their child make a snack that included vegetables [51].

Home availability and accessibility of FV was assessed by asking parents six questions about whether 100% fruit juice, vegetable juice, fresh vegetables, frozen or dried vegetables, salad and cut-up fresh vegetables were available in the home during the previous week [29]. We assessed home availability of SSB with a single question asking parents how often soft-drinks or SSB were available in the home in the previous week.

We asked parents six questions to measure emotional support for healthy eating with example statements such as, “I show approval when my child eats what I want her/him to eat” and “I encourage my child to try new foods.” Rules for healthy eating were assessed with three questions about parents’ control of intake of sweets, high fat foods, and what the child eats away from home. We measured modeling of vegetable and SSB intake by asking parents how often their child saw them eating vegetables and drinking SSB.

Social support for physical activity

We assessed parental modeling of PA with one question that elicited how often the child sees the parent being active. We measured instrumental support for PA with two questions gauging how many days per week parents went for a walk or did other PA with their child and emotional support with four questions that determined how much they encourage, watch, and show approval for PA.

Fruit and vegetable intake

Children self-reported their FV intake using previously validated measures [52–54]. We asked them if they drank 100% fruit juice and if they ate fruit, orange vegetables, salads, or other vegetables during the previous day. We used a Likert-like scale for these questions with 0 indicating “No, I didn’t eat/drink any of these yesterday” and 3 indicating “Yes, I ate/drank × 3 or more times yesterday.” We aggregated the responses to the five questions to determine the child’s total FV intake the previous day.

Sugar-sweetened beverage intake

Children self-reported their SSB intake in two questions, 1) if they had consumed any punch, Kool-Aid, sports drinks, or other fruit flavored drinks the previous day and 2) if they drank any regular sodas or soft drinks the previous day. Answers were on a Likert-like scale with 0 indicating “No, I didn’t drink any of these yesterday” and 3 indicating “Yes, I drank × 3 or more times yesterday.” We aggregated the responses to get the child’s total SSB intake for the previous day.

Physical activity

Parents reported how many times in the previous week their child engaged in sports, dance or outdoor play, outside of school. Response options ranged from 0 indicating “None” to 4 indicating “6 or more times.”

Demographics

Children self-reported their age and gender; parents self-reported their gender, relationship to the child, age, race, ethnicity, employment status, highest level of education, and marital status. Food insecurity was measured on a scale from “almost always” to “almost never or never” by asking parents “How often do you run out of food before the end of the month because you can’t afford to buy more?” [55]. Parents were asked what language was spoken at home with answer choices of English, Spanish, or Other. They were also asked if the family received federal benefits, such as the Supplemental Nutrition Assistance Program (SNAP) and The Special Supplemental Nutrition Assistance Program for Women, Infants, and Children (WIC), and whether their child received a free or reduced-cost school lunch.

Anthropometric measures

Height and weight were collected during school site visits by two project staff members who were trained by the program director and certified for essential skills [45]. Height was measured using the Perspective Enterprise Model PE-AIM-10 stadiometers and weight using the Tanita scale model BWB-800S. BMI was calculated from height and weight data, and the students were placed into BMI categories using growth charts from the Centers for Disease Control and Prevention [56].

Data analysis

Preliminary descriptive analyses were conducted by examining frequency distributions of key demographic variables in the sample. The levels of the different types of parental social support for eating and PA behavior were compared across the demographic categories (gender, BMI, race/ethnicity) of children using independent samples t-test or one-way ANOVA, as appropriate. We then used sequential linear regression with listwise deletion to assess the relationship between social support variables and FV intake, SSB intake, and PA, while controlling for important covariates, including race/ethnicity variables, gender, BMI z-score, food security, receiving free or reduced-cost lunch, and parental education [57–59]. For all three energy balance outcomes, we entered child’s gender, BMI, race/ethnicity, receiving free or reduced-cost lunch, and parental education into step 1, food insecurity into step 2, and the social support variables into step 3. The threshold for significance was set at p < .05.

Results

Sample characteristics

There were 1169 parent-child dyads included in this study (Table 2). Children were third-grade students in Texas, between the ages of 7 and 11. Students were 42% female, 33% Hispanic, and 74% received free or reduced-cost lunch. Of the parents and caregivers, 83% were female. Almost 92% of caregivers indicated they were a parent, while 5% indicated they were a grandparent or other caregiver, and 3% were missing (not shown in table). About 51% of parents had a high school diploma, GED, or less education. In our sample, 42% of families indicated that they received SNAP, 12% received WIC, and 41% said that the family sometimes or almost always experienced food insecurity.
Table 2

Participant demographics, full sample

 

Number

Percent

Child demographics

1169

100

 Gender

  Male

495

42.3

  Female

492

42.1

  Missing

182

15.6

 Age

  7 years old

6

.5

  8 years old

672

57.5

  9 years old

269

23.0

  10 years old

24

2.0

  11 years old

3

.3

  Missing

195

16.7

 Race/Ethnicity

  White

209

17.9

  Black

179

15.3

  Hispanic

385

32.9

  Other

204

17.5

  Missing

192

16.4

 Weight status

  Underweight

27

2.3

  Normal Weight

466

39.9

  Overweight

171

14.6

  Obese

270

23.1

  Missing

235

20.1

Parent demographics

1169

100

 Gender

  Male

132

11.3

  Female

970

83.0

  Missing

67

5.7

 Age

  Less than 30

219

18.8

  30 to 34

336

28.7

  35 to 39

211

18.0

  40 and above

246

21.1

  Missing

157

13.4

 Employment status

  Full-time

557

47.7

  Part-time

157

13.4

  No work outside the home

372

31.8

  Retried

13

1.1

  Missing

70

6.0

 Education

  Less than 12 years

231

19.8

  High school or GED

360

30.8

  Trade/Tech college

100

8.5

  Some college

206

17.6

  College or advanced degree

173

14.8

  Missing

99

8.5

 Marital status

  Married

634

54.2

  Separated or Divorced

178

15.2

  Single, never married

264

22.6

  Widowed

25

2.2

  Missing

68

5.8

Family demographics

1169

100

 Language spoken at home

  English

786

67.2

  Spanish

295

25.2

  Other

16

1.4

  Missing

72

6.2

 Food insecurity

  Almost never or never

625

53.5

  Sometimes

331

28.3

  Almost always

152

13.0

  Missing

61

5.2

 Child receives free or reduced lunch

  Yes

861

73.7

  No

240

20.5

  Missing

68

5.8

 SNAP recipients

  Yes

494

42.3

  No

591

50.5

  Missing

84

7.2

 WIC recipients

  Yes

140

12.0

  No

945

80.8

  Missing

84

7.2

Level of parental support by sex, race/ethnicity, and weight status

There was a significant difference between boys and girls for family food culture and instrumental support for healthy eating, with girls having a higher mean for both (Table 3). There were also significant differences between racial/ethnic groups for home availability and accessibility of FV, emotional support for healthy eating, rules for eating, modeling of vegetable intake and modeling SSB intake (Table 3). Black children had a higher mean for home availability and accessibility of FV and rules for eating compared to the other three groups. White children had the highest mean for emotional support for healthy eating and modeling of vegetable intake, while Hispanic children had the highest mean for modeling SSB intake. Lastly, there were also significant differences by child's weight status for emotional support for healthy eating and modeling of vegetable intake (Table 3). Interestingly, overweight children had the highest mean for emotional support for healthy eating and normal weight children had the highest mean for modeling of vegetable intake.
Table 3

Level of parental social support for eating and physical activity behavior by group

 

Family Food Culture

Instrumental support for healthy eating

Home availability/accessibility of FV

Home availability of SSB

Emotional support for healthy eating

Rules for eating

Modeling vegetable intake

Modeling SSB intake

Instrumental support for PA

Emotional support for PA

Modeling of PA

N = 977

N = 1148

N = 1164

N = 1151

N = 1146

N = 1145

N = 1143

N = 1139

N = 1139

N = 1127

N = 1144

Boys, Mean (SD)

5.23 (1.86)

4.13 (2.03)

10.56 (3.63)

1.58 (.86)

17.46 (3.88)

8.91 (2.42)

3.47 (.82)

2.80 (1.17)

3.86 (3.26)

12.84 (2.50)

3.54 (.81)

Girls, Mean (SD)

5.48 (1.73)

4.60 (1.99)

10.81 (3.56)

1.59 (.88)

17.68 (3.77)

8.95 (2.48)

3.49 (.80)

2.75 (1.23)

4.02 (3.32)

12.63 (2.52)

3.55 (.81)

t a

−2.18*

. − 3.59***

−1.09

−.24

−.91

−.24

−.28

.71

−.743

1.27

−.17

White, Mean (SD)

5.12 (1.79)

4.30 (1.94)

10.90 (3.26)

1.64 (.90)

18.24 (3.13)

8.68 (2.33)

3.65 (.69)

2.73 (1.28)

3.53 (3.07)

12.98 (2.35)

3.60 (.66)

Black, Mean (SD)

5.53 (2.00)

4.44 (1.89)

11.57 (3.70)

1.62 (.86)

17.96 (3.70)

9.30 (2.49)

3.61 (.66)

2.66 (1.14)

4.14 (3.58)

13.02 (2.49)

3.51 (.87)

Hispanic, Mean (SD)

5.46 (1.74)

4.42 (2.12)

10.29 (3.69)

1.54 (.82)

16.99 (4.15)

8.79 (2.43)

3.36 (.86)

2.92 (1.12)

4.14 (3.24)

12.51 (2.51)

3.55 (.86)

Other, Mean (SD)

5.26 (1.68)

4.30 (2.04)

10.43 (3.47)

1.58 (.95)

17.65 (3.79)

9.12 (2.55)

3.42 (.91)

2.62 (1.28)

3.92 (3.33)

12.69 (2.65)

3.50 (.81)

F b

2.40

.31

5.84**

.77

5.72**

2.88*

7.78***

3.77*

1.71

2.46

.73

Under weight, Mean (SD)

5.30 (1.66)

4.33 (2.00)

11.31 (3.81)

1.59 (1.05)

17.98 (3.08)

9.46 (2.48)

3.42 (.95)

2.67 (1.21)

4.15 (3.76)

12.87 (2.45)

3.44 (.85)

Normal weight, Mean (SD)

5.49 (1.82)

4.51 (2.03)

10.77 (3.54)

1.55 (.88)

17.79 (3.76)

9.06 (2.43)

3.56 (.74)

2.81 (1.18)

4.13 (3.37)

12.73 (2.52)

3.59 (.78)

Overweight, Mean (SD)

5.32 (1.83)

4.40 (1.94)

10.89 (3.54)

1.69 (.87)

18.02 (3.88)

8.82 (2.64)

3.47 (.80)

2.78 (1.18)

3.77 (3.46)

13.13 (2.47)

3.56 (.81)

Obese, Mean (SD)

5.36 (1.78)

4.08 (2.07)

10.34 (3.75)

1.55 (.81)

16.82 (3.85)

8.82 (2.36)

3.38 (.92)

2.73 (1.24)

3.79 (3.01)

12.52 (2.52)

3.47 (.88)

F b

.13

2.48

1.38

1.23

4.77**

1.08

2.82*

.29

.88

1.95

1.36

Note: *p < 0.05, **p < 0.01, ***p < 0.001

aIndependent-samples t-test, bOne-way ANOVA

Associations between parental social support and healthy eating

After adjusting for covariates the sequential regression showed that of the social support variables, only family food culture was significantly associated with FV intake (Table 4). BMI z-score and receiving free or reduced-cost lunch were also significantly associated with FV intake.
Table 4

Sequential regression analysis for association of social support with FV intake

 

B

SE B

β

R 2

R 2 change

Step 1

   

.055***

.055***

 Gender

−.413

.265

−.054

  

 BMI z-score

.306

.109

.097**

  

 Receive free or reduced lunch

.949

.38

.104*

  

 Parent’s education

−.184

.101

−.072

  

 Black

.779

.435

.078

  

 Hispanic

.167

.385

.021

  

 Other

.723

.411

.077

  

Step 2

   

.055***

.000

 Food insecurity

.158

.287

.021

  

Step 3

   

.128***

.073***

 Family food culture

.5597

.074

.259***

  

 Instrumental support for healthy eating

.037

.073

.020

  

 Home availability/accessibility of FV

.057

.044

.053

  

 Home availability of SSB

−.165

.171

−.038

  

 Emotional support for healthy eating

−.036

.039

−.036

  

 Rules for eating

−.076

.062

−.050

  

 Modeling of vegetable intake

−.068

.176

−.014

  

 Modeling of SSB intake

−.040

.124

−.012

  

Note: B = Unstandardized beta coefficient; SE B = Standard error for B; β = Standardized beta coefficient; R 2  = adjusted R-square; *p < 0.05; **p < 0.01; ***p < 0.001

For SSB intake, both family food culture and home availability of those beverages were significantly associated with their intake, as were gender and free or reduced-cost lunch (Table 5). The social support variables and sociodemographic covariates explained about 13% of the variance in FV intake and 9% of the variance in SSB intake.
Table 5

Sequential regression analysis for association of social support with SSB intake

 

B

SE B

β

R 2

R 2 change

Step 1

   

.053***

.053***

 Male

−.457

.124

−.130***

  

 BMI z-score

−.003

.051

−.002

  

 Receive free or reduced lunch

.367

.180

.088*

  

 Parent’s education

−.074

.047

−.063

  

 Black

.405

.205

.087*

  

 Hispanic

.091

.180

.025

  

 Other

.050

.191

.012

  

Step 2

   

.056***

.003

 Food insecurity

.171

.135

.048

  

Step 3

   

.086***

.030**

 Family food culture

.098

.035

.098**

  

 Instrumental support for healthy eating

.052

.034

.061

  

 Home availability/accessibility of FV

−.002

.021

−.004

  

 Home availability of SSB

.187

.080

.093**

  

 Emotional support for healthy eating

.012

.018

.025

  

 Rules for eating

−.035

.029

−.049

  

 Modeling of vegetable intake

−.114

.082

−.053

  

 Modeling of SSB intake

.028

.058

.019

  

Note: B = Unstandardized beta coefficient; SE B = Standard error for B; β = Standardized beta coefficient; R 2  = adjusted R-square; *p < .05; **p < .01; ***p < .001

Associations between parental social support and physical activity

After adjusting for covariates, both instrumental and emotional support for PA were significantly associated with the child’s PA (Table 6). The social support variables and the sociodemographic covariates explained about 13% of the variance in child’s PA the previous week.
Table 6

Sequential regression analysis for association of social support with physical activity

 

B

SE B

β

R 2

R 2 change

Step 1

   

.006

.006

 Gender

−.112

.077

−.049

  

 BMI z-score

.009

.032

.009

  

 Receive free or reduced lunch

.002

.111

.001

  

 Parent’s education

−.003

.030

−.004

  

 Black

−.033

.126

−.011

  

 Hispanic

−.143

.111

−.061

  

 Other

−.010

.118

−.003

  

Step 2

   

.006

.000

 Food insecurity

.080

.084

.035

  

Step 3

   

.130***

.124***

 Instrumental support for PA

.093

.013

.264***

  

 Emotional support for PA

.062

.016

.137***

  

 Modeling of PA

.086

.050

.062

  

Note: B = Unstandardized beta coefficient; SE B = Standard error for B; β = Standardized beta coefficient; R 2  = adjusted R-square; ***p < 0.001

Stratification by race and ethnicity

Stratifying by race/ethnicity demonstrated some differences in the relationship between social support and the energy balance-related behaviors between racial/ethnic groups (Table 7). The association between all social support variables and FV intake was not significant in White children, but the models were significant for all other racial/ethnic groups. Emotional support was significantly associated with FV intake in Black children, but in no other group. Within significant models, family food culture was significantly associated with SSB intake in White children, home availability of those beverages was significantly associated with their intake only in Hispanics and Others, and instrumental support for healthy eating was significant only in Hispanic children. The association between social support and SSB intake, as well as social support and PA, were not significant in Black children. Instrumental support was significantly associated with a child’s PA for Hispanic and Other, but not for White children. Emotional support for PA was significantly related to child’s PA for both Hispanic and White children, and parental modeling of PA was significantly associated with PA behaviors only for White children.
Table 7

Association of social support with eating and physical activity, stratified by racial/ethnic group

 

White

Black

Hispanic

Other

 

R 2

B

SE

R 2

B

SE

R 2

B

SE

R 2

B

SE

FV Intake a

.112

  

.202**

  

.126***

  

.189**

  

 Family food culture

 

.400*

.154

 

.691***

.181

 

.622***

.125

 

.421*

.176

 Instrumental support for healthy eating

 

−.126

.150

 

.125

.209

 

.058

.115

 

.227

.166

 Home availability and accessibility of FV

 

−.007

.096

 

−.106

.120

 

.050

.069

 

.154

.101

 Home availability of SSB

 

−.303

.325

 

.277

.479

 

−.232

.286

 

−.038

.402

 Emotional support for healthy eating

 

−.027

.097

 

−.212*

.107

 

−.027

.058

 

−.012

.091

 Rules for eating

 

−.016

.134

 

.042

.151

 

−.064

.101

 

−.203

.148

 Modeling of vegetable intake

 

−.116

.424

 

1.150

.637

 

−.045

.273

 

−.462

.336

 Modeling of SSB intake

 

.102

.241

 

−.528

.352

 

.123

.210

 

−.037

.283

SSB Intake a

.143*

  

.116

  

.103**

  

.140*

  

 Family food culture

 

.169*

.073

 

.188*

.086

 

.087

.059

 

−.010

.081

 Instrumental support for healthy eating

 

−.039

.072

 

.054

.095

 

.113*

.055

 

.134

.079

 Home availability and accessibility of FV

 

.033

.045

 

−.010

.055

 

−.021

.033

 

−.025

.046

 Home availability of SSB

 

.115

.153

 

−.250

.219

 

.311*

.137

 

.374*

.177

 Emotional support for healthy eating

 

.048

.046

 

.016

.049

 

.006

.027

 

−.026

.040

 Rules for eating

 

−.044

.062

 

−.036

.073

 

−.064

.048

 

−.002

.067

 Modeling of vegetable intake

 

−.015

.200

 

.247

.296

 

−.132

.127

 

−.272

.156

 Modeling of SSB intake

 

−.066

.113

 

.071

.169

 

.023

.099

 

.075

.124

PA last week a

.137**

  

.085

  

.173***

  

.188***

  

 Instrumental support PA

 

.008

.031

 

.085**

.030

 

.115***

.020

 

.126***

.029

 Emotional support PA

 

.090*

.038

 

.050

.044

 

.068**

.025

 

.045

.035

 Modeling of PA

 

.436**

.142

 

−.014

.122

 

.038

.071

 

.046

.115

Note: bold numbers are only used for models that are significant

B = Unstandardized beta coefficient; SE = Standard error for B; R2 = adjusted R-square; *p < .05; **p < .01; ***p < .001

aCovariates: gender, BMI z-score, free or reduced lunch, parent’s education, food insecurity; not pictured

Discussion

The sample of the TGEG study with third graders in Texas was largely composed of minority (Hispanic and non-Hispanic Black) children. Of our sample, 47.2% were overweight or obese, which is 13% higher than the U.S. prevalence for children 6–11 years of age [1]. The sample had high values for modeling of vegetable intake, modeling PA, and emotional support for PA while most other variables had averages that fell in the third quartile of the range (Table 1). It is possible that parents in this sample felt capable and were already providing emotional social support for physical activity and were themselves participating in PA and consuming more vegetables, making modeling for these behaviors easier. However, instrumental support for PA was low as compared to the other scales, likely because it was the only scale measuring the number of days parents actually provided a specific type of support for their child. This study showed that while there was minimal difference in the various types of social support that girls and boys received, there were some meaningful differences between racial groups for certain types of social support. Of the racial and ethnic groups, Hispanic children reported substantially lower levels of home availability and accessibility of FV and emotional support for eating those foods, as compared to other racial/ethnic groups. Researchers previously identified lower levels of social support in this group [42, 60]. Our findings further highlight the importance of explicitly addressing these disparities in social support when developing interventions targeting Hispanic parents, potentially with additional skills training or increased intervention doses. There were also differences in parental social support based on the child’s weight status; for example, overweight children received more emotional support for healthy eating. However, in contrast to previous studies that suggest that overweight and obese children receive less parental support for PA [61, 62], we found no differences in social support by child's weight status.

We found some other associations between parental social support and energy balance-related behaviors in children to be consistent with the literature, such as the association of instrumental [63–65] and emotional support for PA with PA behavior in children [23, 66, 67]. Home availability of SSB was significantly associated with SSB intake, as seen in earlier research [30, 68, 69]. However, we noted differences from previous studies. It was unexpected that home availability and accessibility of FV was not associated with FV intake, as the association has been reported previously [29, 70–72]. Similarly, it was surprising to find no association of instrumental or emotional support for healthy eating, modeling vegetable intake, and modeling PA with the outcomes, as these types of support have been found to be associated with children’s energy balance-related behaviors in other populations [11, 71–75]. Family food culture was associated with FV intake, consistent with the literature that shows that increased family meals, the main component of family food culture, is associated with increased FV intake in children [76–79]. This was the only significant variable in the FV intake model and also the only child-reported social support; other studies have also found that various types of parental support reported by children were more associated with children’s FV intake than the parent’s perceptions of that same support [80–82].

We also found associations between some of the social support variables and behavioral outcomes that were in unexpected directions. In the case of the positive association of family food culture with SSB intake, it could be that the current family food culture is generally unhealthy [83, 84]. The unexpected associations could be a result of the influence of other variables, such as family cohesion [85, 86], or could demonstrate the child’s rebellion against parents if the social support is perceived as a demand for behavior change [10]. It is possible that these unexpected findings may also indicate that parents are not the most important source for social support. In fact, many researchers report that peer social support might be more influential than parental support for many of these energy balance-related behaviors [23, 32, 33, 87]. However, more research is needed in this area because parental social support has been identified as an important factor for energy balance-related behaviors in children [17, 18].

Several social support variables were significantly associated with energy balance-related behaviors in certain groups but not in others, demonstrating potential differences in the relative impact of parental social support on children’s subsequent behaviors. Given the differences, there could be implications for intervention development. For example, emphasizing emotional support for healthy eating in Black families may lead to greater changes in FV intake than a focus on other types of support. Given the importance of home availability of SSB on the SSB intake of Hispanic children, this should be one place of emphasis for interventions targeting Hispanic parents. However, an intervention with White parents with a similar target of reducing SSB intake may aim to alter the family food culture instead. For PA, interventionists may consider focusing on building instrumental and emotional support skills for PA among Hispanic parents. The insignificant models among Black children for both PA and SSB intake might indicate that other external factors in their environment [35–38] reduce the relative importance of parental social support for those energy-balance related behaviors and thus interventionists may consider looking elsewhere for the first point of intervention. As receiving free or reduced lunch at school was associated with FV intake in the overall model and the stratified model for Black children (data not shown), ensuring children have access to these programs might be more critical.

Limitations

Given the cross-sectional nature of our data, it is unclear how parental social support can causally impact children’s eating and PA behaviors, as a determination about temporality could not be made and there remains the possibility of reverse causality. Our modeling variables and home availability of SSB were one item scales, limiting how well we could capture these constructs and the conclusions that can be drawn. We were limited in the information that could be accurately collected from the children, thus most variables relied on the parental report of social support or children’s behavior. Lastly, we have not previously done extensive reliability and validity testing for some of the measures developed for this study, which may impact results. However, the Cronbach’s alphas for the items in the scales were acceptable, indicating that the scales had good internal consistency. Despite these limitations, the findings offer greater insights into the relative association of different types of parental social support with energy-balance behaviors among low-income and diverse children.

Conclusions

Few studies have looked at parental social support and energy balance-related behaviors across racial and ethnic groups or made comparisons [39–42, 60]. This study is one of the few to compare the association of various types of parental social support and energy balance-related behaviors in children across racial and ethnic groups and provides evidence that the associations may differ between racial and ethnic groups. Future studies should attempt to assess the longitudinal relationship of parental social support with children’s energy balance-related behaviors as well as the individual importance of each type of social support. Researchers developing interventions that impact parents to ultimately improve energy balance in children should take into account the types of social support most associated with the behavior of interest in their target population.

Abbreviations

BMI: 

Body mass index

F&V: 

Fruits and vegetables

PA: 

Physical activity

SES: 

Socioeconomic status

SNAP: 

Supplemental Nutrition Assistance Program

SSB: 

Sugar - sweetened beverages

TGEG: 

Texas Grow! Eat! Go!

WIC: 

The Special Supplemental Nutrition Assistance Program for Women, Infants, and Children

Declarations

Acknowledgements

The authors would like to thank Carol K. Kohn, MS, ELS (D) for her professional editing services.

Funding

This work was supported by a pre-doctoral fellowship from the University of Texas School of Public Health Cancer Education and Career Development Program through the National Cancer Institute (R25CA57712 to N.I.H.) and by the Agriculture and Food Research Initiative from the USDA National Institute of Food and Agriculture, Integrated Research, Education and Extension to Prevent Childhood Obesity, A2101 (2011-68001-30138 to N.R., J.L.W., and A.E.E). The study was also partially funded by the Center for Health Promotion and Prevention Research as well as the Michael & Susan Dell Foundation through resources provided at the Michael & Susan Dell Center for Healthy Living, The University of Texas School of Public Health, Austin Regional Campus.

Availability of data and materials

The dataset supporting the conclusions of this article is available upon request by contacting Dr. Nalini Ranjit at Nalini.Ranjit@uth.tmc.edu.

Author’s contributions

NIH contributed to the conception and design of this cross-sectional study, as well as to the analysis and interpretation of the data and writing of all sections of the manuscript. NR contributed to the acquisition of data, analysis and interpretation of the data and to writing and revising all sections of the manuscript. JLW (Primary Investigator) contributed to the conception and design of the overall Texas Grow! Eat! Go! Study, acquisition of data, and critical revisions of all sections of the manuscript. AEE contributed to the conception and design of the overall Texas Grow! Eat! Go! Study, acquisition of data, and the writing and revision of all sections of the manuscript. All authors gave final approval of this manuscript.

Competing interests

The authors declare that they have no competing interests.

Consent for publication

Not applicable.

Ethics approval and consent to participate

This research was approved by the University of Texas Health Sciences IRB, the Committee for the Protection of Human Subjects (#HSC-SPH-10-0733) and the Texas A&M University Institutional Review Board (# IRB 2011-0012). Parents provided their written consent to participate, as well as written consent to let their child participate in the study. Students provided written assent at the time of data collection as well.

Disclaimer

The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Cancer Institute or the National Institutes of Health.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Center for Health Promotion and Prevention Research, The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, 7000 Fannin St, Suite 2576E, Houston, TX 77030, USA
(2)
Michael & Susan Dell Center for Healthy Living, The University of Texas Health Science Center (UTHealth) School of Public Health, Austin Regional Campus, Austin, TX, USA
(3)
Family & Community Health, Texas A&M AgriLife Extension Service, College Station, TX, USA

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