Hostname: page-component-586b7cd67f-tf8b9 Total loading time: 0 Render date: 2024-11-25T07:16:11.487Z Has data issue: false hasContentIssue false

Frequency of eating alone is associated with adolescent dietary intake, perceived food-related parenting practices and weight status: cross-sectional Family Life, Activity, Sun, Health, and Eating (FLASHE) Study results

Published online by Cambridge University Press:  28 February 2019

Marla Reicks*
Affiliation:
Department of Food Science and Nutrition, University of Minnesota, 1334 Eckles Avenue, St. Paul, MN, 55108, USA
Cynthia Davey
Affiliation:
Clinical and Translational Science Institute, University of Minnesota, Minneapolis, MN, USA
Alex Kojo Anderson
Affiliation:
Foods and Nutrition, University of Georgia, Athens, GA, USA
Jinan Banna
Affiliation:
Department of Human Nutrition, Food and Animal Sciences, University of Hawaii, Honolulu, HI, USA
Mary Cluskey
Affiliation:
School of Biological and Population Health Sciences, Oregon State University, Corvallis, OR, USA
Carolyn Gunther
Affiliation:
Department of Human Sciences, The Ohio State University, Columbus, OH, USA
Blake Jones
Affiliation:
Psychology Department, Brigham Young University, Provo, UT, USA
Rickelle Richards
Affiliation:
Nutrition, Dietetics, and Food Science, Brigham Young University, Provo, UT, USA
Glade Topham
Affiliation:
School of Family Studies and Human Services, Kansas State University, Manhattan, KS, USA
Siew Sun Wong
Affiliation:
Extension Family and Community Health Program, Oregon State University, Corvallis, OR, USA
*
*Corresponding author: Email [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Objective

To examine relationships between frequency of adolescents eating alone (dependent variable) and diet, weight status and perceived food-related parenting practices (independent variables).

Design

Analyses of publicly available, cross-sectional, web-based survey data from adolescents.

Setting

Online consumer opinion panel.

Subjects

A US nationwide sample of adolescents (12–17 years) completed Family Life, Activity, Sun, Health, and Eating (FLASHE) Study surveys to report demographic and family meal characteristics, weight, dietary intake, home food availability and perceptions of parenting practices. Parents provided information about demographic characteristics. Logistic regression analyses were used to test for associations between variables.

Results

About 20 % of adolescents reported often eating alone (n 343) v. not often eating alone (n 1309). Adjusted odds of adolescents often eating alone were significantly higher for non-Hispanic Black compared with non-Hispanic White adolescents (OR=1·7) and for overweight or obese compared with normal- or underweight adolescents (OR=1·6). Adjusted odds of adolescents eating alone were significantly lower for those who reported that fruits and vegetables were often/always available in the home (OR=0·65), for those who perceived that parents had expectations about fruit and vegetable intake (OR=0·71) and for those who agreed with parental authority to make rules about intake of junk food/sugary drinks (OR=0·71). Junk food and sugary drink daily intake frequency was positively associated with often eating alone.

Conclusions

Often eating alone was related to being overweight/obese, having less healthy dietary intake and perceptions of less supportive food-related parenting practices.

Type
Research paper
Copyright
© The Authors 2019 

Families play an important role in shaping health-related behaviours among adolescents, including dietary intake. Since the 1960s, the diversity in family living arrangements has increased with a decline in two-parent households and smaller families( 1 ). Further, traditional roles of family members have shifted. In 2014, labour force participation on the part of mothers of children younger than 18 years of age stood at 70 %, with three-quarters of all employed mothers working full-time( 1 ). Differences in family arrangements over the past 60 years have led to changes in the way in which food is consumed in the home. Previous research has reported differences in adolescents’ meal patterns over time; for example, in a study of 14–15-year-olds participating in the Growing up Today study, the number of family dinners per week decreased among both males and females from 1996 to 2008( Reference Walton, Kleinman and Rifas-Shiman 2 ). In the 2010 Project EAT (Eating and Activity in Teens) survey, decreases in family meal frequency were found from 1999 to 2010 among middle- and high-school students from low socio-economic backgrounds( Reference Neumark-Stzainer, Wall and Fulkerson 3 ). These changes in family arrangements and meal patterns may collectively result in a greater number of independent eating occasions for adolescents or eating meals alone more often.

The trend for fewer family meals is significant given that adolescents whose families have less frequent meals together consume fewer fruits and vegetables (FV) and more sugar-sweetened beverages( Reference Fulkerson, Larson and Horning 4 , Reference Martin-Biggers, Spaccarotella and Berhaupt-Glickstein 5 ). In addition, although findings are somewhat mixed( Reference Horning, Schow and Friend 6 ), research indicates that lower family meal frequency is related to higher odds of overweight and obesity for adolescents( Reference Berge, Jin and Hannan 7 , Reference Hammons and Fiese 8 ) and 10 years later in young adults( Reference Berge, Wall and Hsueh 9 ). Mixed findings may be explained by the moderating effects of gender and race of the child, as well as by the influence of family routines and dynamics during mealtime. For instance, higher frequency of family meals has been associated with lower odds of overweight status for female, but not male adolescents( Reference Goldfield, Murray and Buchholz 10 , Reference Neumark-Sztainer, Larson and Fulkerson 11 ). Similarly, higher family meal frequency is related to lower risk of obesity among non-Hispanic White and non-Hispanic Black boys but higher risk among Hispanic boys( Reference Rollins, Belue and Francis 12 ). In an observational study of family meals, Berge et al.( Reference Berge, Jin and Hannan 7 ) found that positive interpersonal dynamics during family meals, such as sharing emotional experiences, communicating interest in each other’s lives and having clear expectations and rules, was predictive of higher vegetable intake and lower BMI among adolescents. These findings draw attention to the importance of developing a better understanding of the influences on adolescents’ independent eating occasions, especially given that limited information is available regarding relationships of dietary quality, weight status and parenting practices with frequency of eating alone among adolescents( Reference Reicks, Banna and Cluskey 13 ).

Although little research has examined the parenting practices predictive of adolescents’ healthy food choice during independent eating occasions( Reference Reicks, Banna and Cluskey 13 ), it is likely that in this context, many of the parenting practices shown to be effective in non-independent eating occasions would remain important. These include modelling of healthy food choice( Reference Cruwys, Bevelander and Hermans 14 ), avoidance of restriction or pressure( Reference Birch, Fisher and Davison 15 ), supportive monitoring of eating behaviours( Reference Vaughn, Ward and Fisher 16 ) and making healthy foods available( Reference Loth, MacLehose and Larson 17 ). Of particular interest in relation to adolescents’ independent eating occasions are parenting practices that foster autonomous or intrinsic motivation in youth, such that youth will desire to engage in positive behaviours even when parents are not around. Autonomy-supportive parenting includes providing a clear rationale for the desired behaviour, providing choice, and avoiding using pressured or coercive language( Reference Ryan and Deci 18 ). Autonomy-supportive parenting has been shown to lead to increased intrinsic motivation, greater receptivity to parent influence and positive outcomes in youth( Reference Grolnick 19 ). Autonomous or intrinsic motivation may be particularly important in predicting adolescents’ healthy food choice in independent eating occasions. Higher autonomous motivation (based on a two-item self-report measure) was related to increased frequency of FV intake (these findings were observed in the same nationwide sample of adolescents as in the current study based on data collected for the Family, Life, Activity, Sun, Health and Eating (FLASHE) Study)( Reference Dwyer, Bolger and Laurenceau 20 ). In a study utilizing a two-wave prospective survey design, high-school students self-reported perceptions of autonomy support, autonomous motivation and behaviour via questionnaires( Reference Girelli, Hagger and Mallia 21 ). Autonomy-supportive parenting predicted autonomous motivation, which in turn predicted perceived behavioural control (confidence in eating at least five portions of FV each day), which predicted increased FV consumption( Reference Girelli, Hagger and Mallia 21 ).

Studies are limited regarding the relationships between adolescent independent eating occasions or eating alone and dietary intake, and adolescent perceptions of supportive food-related parenting practices such as making healthy foods available, modelling intake of healthy foods and setting expectations for eating healthy foods. Adolescent perceptions of food-related parenting practices reflect how the adolescent experiences his/her home food environment from a physical and social perspective in a way that is relevant to his/her behaviour. Other studies have previously examined relationships between adolescent perceptions of food-related parenting practices and adolescent dietary intake( Reference Girelli, Hagger and Mallia 21 Reference Gevers, van Assema and Sleddens 23 ). The purpose of the current cross-sectional survey study based on analysis of secondary data from a nationwide sample of adolescents was to test hypotheses that the frequency of eating alone (dependent variable) was associated with dietary behaviours, weight status and perceived food-related parenting practices that support healthy eating (independent variables).

Methods

Study overview

The present study used publicly available, existing data collected from adolescents (aged 12–17 years) participating in the cross-sectional FLASHE Study( 24 ) regarding demographic characteristics, weight, home food availability, evening meal types, food-related parenting practices and dietary intake. Data collected from the adolescents’ parents regarding parent demographic and household characteristics were also used to assess relationships with the frequency of adolescents eating alone.

The FLASHE Study was sponsored by the US National Cancer Institute to determine how lifestyle behaviours such as diet and physical activity are related to cancer risk. Data were collected under a contract with Westat, Inc. using web-based surveys from participants recruited and enrolled via the Ipsos’ Consumer Opinion Internet Panel from April to October 2014. A total of 5027 parent and adolescent dyads were screened and 1945 were enrolled in the study with an overall response rate of 29·4 %. All study procedures were completed by 1479 dyads. Details on the design, sampling, recruitment, enrolment and participant characteristics have been reported previously( Reference Nebeling, Hennessy and Oh 25 , Reference Oh, Davis and Dwyer 26 ) and are available from the FLASHE Study website( 24 , 27 ). A non-probability sample was obtained from the Ipsos survey panel company to be representative of the US general population regarding sex, education, income, age and Census region. Adult panel members were screened for eligibility regarding whether they were the parent of an eligible adolescent and lived with the adolescent half of the time or more. One eligible adolescent was selected until quotas for three age ranges were filled. About one-third of adolescent participants were recruited in each age range with one-half boys and one-half girls. Dyads were invited to complete diet and physical activity surveys.

Because the FLASHE data are a quota sample from a consumer panel, survey weights were created as ‘analysis weights’ to make the weighted sample more similar to the general population. Survey weights were constructed through raking procedures on key sociodemographic variables as an attempt to reduce potential bias from population values( Reference Oh, Davis and Dwyer 26 ). The four raking variables used to construct weights for adolescents who completed the diet survey were age, gender, race/ethnicity and Census region (Northeast, Midwest, South, West). According to the limitations described, statistical inference for variables other than these four raking variables are subject to selection bias; therefore, results of unadjusted associations and adjusted models cannot be generalized to the US general adolescent population.

Data for the current individual-level analysis were downloaded from the FLASHE Study website( 24 ) and included data collected via the Adolescent Demographic Survey instrument, the Adolescent Diet Survey instrument and the Parent Demographic Survey instrument. The University of Minnesota’s Institutional Review Board determined that this secondary analysis of existing anonymous data was exempt from review.

Measures

Adolescent demographic and physical characteristics

Adolescents reported their age, sex, race/ethnicity and height and weight. BMI percentiles were calculated according to Centers for Disease Control and Prevention guidelines( 28 ) by the FLASHE Study programme investigators and used to classify adolescents as follows: underweight (BMI<5th percentile), normal weight (BMI 5th–<85th percentile), overweight (BMI 85th–<95th percentile) and obese (BMI≥95th percentile). Adolescent BMI percentile variables were included in the publicly available FLASHE data( 24 ).

Food availability

Adolescents’ perceptions of food availability in the home were assessed with a series of questions (‘How often are the following foods and drinks available in your home? – fruits or vegetables, sweets, sugary drinks and chips’). Response options were on a 5-point scale from ‘never’ to ‘always’ and collapsed into binary variables for analysis (often/always v. sometimes/rarely/never).

Food-related parenting practices

Adolescents reported perceptions of parenting practices by rating their agreement with a series of six statements regarding what parent(s) say and do when it comes to eating FV and a series of six statements regarding what parent(s) say and do when it comes to eating junk food/drinking sugary drinks( Reference Birch, Fisher and Grimm-Thomas 29 Reference Wardle, Sanderson and Guthrie 31 ). Food-related parenting practices addressed management of availability, role modelling and setting expectations for FV and junk food/sugary beverages. Statements regarding FV included: ‘My parent(s) buy fruits and vegetables for me’; ‘My parent(s) try to eat fruits and vegetables when I’m around’; ‘My parent(s) encourage me to try different kinds of fruits and vegetables’; ‘My parent(s) and I decide together how many fruits and vegetables I have to eat’; ‘My parent(s) have to make sure that I eat enough fruits and vegetables’; and ‘My parent(s) make me eat fruits and vegetables’. Statements regarding junk food/sugary drinks included: ‘If I’ve had a bad day, my parent(s) let me have junk food or sugary drinks to make me feel better’; ‘My parent(s) don’t buy a lot of junk food or sugary drinks for me’; ‘My parent(s) try to avoid eating junk food or sugary drinks when I’m around’; ‘My parent(s) and I decide together how much junk food or sugary drinks I can have’; ‘My parent(s) have to make sure that I don’t eat too much junk food or drink too many sugary drinks’; and ‘My parent(s) decide how much junk food or sugary drinks I can have’. Another statement was included in each series to assess adolescents’ beliefs about the acceptability and authority parents have when making rules about intake( Reference Darling, Cumsille and Martinez 32 ): ‘It’s OK for my parent(s) to make rules about how many fruits and vegetables I can have’; and ‘It’s OK for my parent(s) to make rules about how much junk food or sugary drinks I can have’. Response options were on a 5-point Likert-type scale from ‘strongly disagree’ to ‘strongly agree’ collapsed into binary variables for analysis (somewhat agree/strongly agree v. neither agree nor disagree/somewhat disagree/strongly disagree). Junk food was defined in the FLASHE users’ guide as a category that included candy/chocolate, cookies/cake, potato chips, fried potatoes and frozen desserts( 27 ). Fried potatoes were defined for adolescents as ‘fried potatoes like French fries, tater tots, hash brown potatoes, etc.’.

Evening meal types

Adolescents were asked to characterize the types of evening meals eaten at home. Evening meal types eaten at home were described as foods: (i) purchased from a fast-food restaurant and eaten at home; (ii) delivered to your home like pizza or Chinese food; (iii) made from a heat-and-serve or box meal like Spaghetti-Os®, a microwave meal or frozen pizza and eaten at home; and (iv) cooked from scratch or a recipe and eaten at home. Responses were 0–7 representing the number of days in the past week that the evening meal was comprised of each type of foods. Mean values are the average number of days in the past week for each type of evening meal eaten at home.

Daily food frequency

Adolescents were asked how many times they consumed foods and beverages during the past 7d, with responses from 1 to 6: 1=‘I did not (eat or drink this food or beverage) in the past 7 days’; 2=‘1–3 times in the past 7 days’; 3=‘4–6 times in the past 7 days’; 4=‘1 time per day’; 5=‘2 times per day’; and 6=‘3 or more times per day’. Mean daily intake food frequency scores were calculated as the average number of times per day that foods in several indicated food groups were eaten. Before combining food items into the daily food frequency scales, each item response was converted to a daily frequency( 27 ): ‘never’=0; 1–3 times in past 7 days’=0·29; ‘4–6 times in past 7 days’=0·71; ‘1 time per day’=1; ‘2 times per day’=2; and ‘3 or more times per day’=3. The items included in each daily intake food frequency scale are defined in the FLASHE users’ guide( 27 ). Junk food included the sum of daily intake food frequencies for candy/chocolate, cookies/cake, potato chips, fried potatoes and frozen desserts. Convenience/fast food included the sum of daily intake food frequencies for fried potatoes, fried chicken, pizza, tacos, burgers and heat-and-serve foods. Sugar-sweetened beverages included the sum of daily intake food frequencies for soda, energy drinks, sweetened fruit drinks and sports drinks. Sugary foods included the sum of daily intake food frequencies for frozen desserts, cookies/cake, candy/chocolate and sugary cereal. Fatty meats included fried chicken, burgers and processed meat. All detrimental foods included the sum of daily intake food frequencies for junk food, convenience/fast food, sugary foods, fatty meat and sugar-sweetened beverages. FV included the sum of daily intake food frequencies for 100 % fruit juice, fruit, green salad, other non-fried vegetables, cooked beans and other potatoes. Other potatoes were defined for adolescents as ‘any other kind of potatoes that aren’t fried like baked, boiled, mashed or potatoes used in soups and stews’. All beneficial foods included the sum of daily intake food frequencies for FV, water, wholegrain bread, cooked whole grains and non-sugary cereal. Those with missing data for any item within a food group did not receive a score for that food group. As a result, daily intake food frequency scale scores were missing for sixty to 203 adolescents, depending on the scale.

To deal with potential overestimation, daily intake frequencies for each food group were top-coded by the FLASHE Study programme investigators and included in the publicly available data( 24 ). A top-code or upper limit was set for daily intake frequency values based on consideration of possible overestimations of intake by adolescents. Values were considered overestimates if reported intakes corresponded to Z-scores≥|3·29| (i.e. where 99·95 % of scores would fall in a normal distribution). If the reported value corresponded with a Z-score≥|3·29|, it was replaced with the value nearest to it without having a Z-score≥|3·29|( 27 ).

Dependent variable: eating alone

Adolescents rated their agreement with the statement ‘In my family, I often eat alone’ on a 5-point Likert-type scale from ‘strongly disagree’ to ‘strongly agree’. Responses were combined to create a binary eating alone variable for analysis. The ‘often eat alone’ group included ‘strongly agree’ and ‘somewhat agree’ responses. The ‘does not often eat alone’ group included ‘strongly disagree’, ‘somewhat disagree’ and ‘neither disagree nor agree’ responses.

Parent demographic and household characteristics

Parents reported their highest grade or level of education completed, age, sex, employment status, hours worked per week if applicable, marital status and annual household income. Household income responses were collected for five income categories, recoded into two categories by the FLASHE Study programme investigators and included in the publicly available data (<$US100 00 and ≥$US 100 000)( 24 ).

Statistical methods

The χ 2 test was used to test for associations of adolescent demographic and weight status variables, parent demographic and household characteristics, food availability measures and perceptions of parenting practices regarding FV and junk food or sugary drinks with the binary variable for eating alone. The two-sample t test was used to test for associations between eating alone and days for evening meal types. Food intake frequency scores were not normally distributed, therefore the non-parametric Wilcoxon rank-sum test was used to test for differences in distribution of food intake frequency scores by eating alone status.

Stepwise selection logistic regression models were run including adolescent and parent demographic characteristics, weight status, perceived food-related parenting practice variables, food availability and food frequency variables with the raked weight variable for the Adolescent Diet Survey( 27 ). Assumptions of logistic regression were met which included use of a dichotomous dependent outcome variable (eating alone status) and no multicollinearity observed among independent variables. All correlations between independent variables included in models were<0·90 except for fast foods and fast foods with no frozen desserts (r=0·96). OR estimates from the regression models are the odds of adolescents somewhat/strongly agreeing that they often eat alone for the indicated group v. the reference group.

The significance level was set at 0·05 for all statistical tests and models, and was adjusted using the Bonferroni correction for multiple comparisons. The statistical software package SAS version 9.4 (© 2002–2012) was used to conduct the analyses.

Results

The study sample consisted of 1652 adolescents who answered the question about eating alone. Of these, 343 (21 %) somewhat or strongly agreed that they often eat alone (‘often eat alone’ group) and 1309 (79 %) strongly/somewhat disagreed/neither disagreed nor agreed that they often eat alone (‘does not often eat alone’ group; Table 1). Two-thirds of all adolescents (67 %) were 14–17 years of age; about half were male (50 %). The majority were non-Hispanic White (64 %) and normal weight (68 %). The majority of parents reported having some college education or a 4-year degree or higher (82 %) and had a household income <$US 100 000 (79 %). The majority of parents were female (74 %), employed for wages (58 %) and married (72 %). Based on unadjusted analyses using χ 2 tests, adolescents in the ‘often eat alone’ group were more likely to be non-Hispanic Black (24 v. 15 %), overweight or obese (37 v. 26 %) and less likely to have parents who were married (67 v. 74 %) compared with the ‘does not often eat alone’ group.

Table 1 Unadjusted associations between eating alone and demographic and physical characteristics among US adolescents (aged 12–17 years) who completed Family Life, Activity, Sun, Health, and Eating (FLASHE) Study surveys, April–October 2014

* Responses to the statement ‘In my family, I often eat alone’ were used to identify eating alone groups: ‘does not often eat alone’ group=‘strongly disagree’, ‘somewhat disagree’ and ‘neither disagree nor agree’ responses; ‘often eat alone’ group=‘strongly agree’ and ‘somewhat agree’ responses.

n and % of total with non-missing data.

P value for χ 2 test; P<0·008 is significant after adjusting for multiple comparisons (Bonferroni correction).

§ Not employed includes out of work, homemaker, student and retired.

Work hours not available if parent was not employed for wages or self-employed.

Table 2 shows results of unadjusted analyses based on χ 2 tests regarding responses to questions about home availability of foods and beverages. Adolescents who reported that they often eat alone were significantly less likely to have FV often to always available (72 v. 84 %, P<0·0001) than adolescents who did not often eat alone (Table 2). Availability of sugary drinks, sweets and chips was not associated with often eating alone or not often eating alone.

Table 2 Unadjusted associations between eating alone and perceptions of home food availability among US adolescents (aged 12–17 years) who completed Family Life, Activity, Sun, Health, and Eating (FLASHE) Study surveys, April–October 2014

* Responses to the statement ‘In my family, I often eat alone’ were used to identify eating alone groups: ‘does not often eat alone’ group=‘strongly disagree’, ‘somewhat disagree’ and ‘neither disagree nor agree’ responses; ‘often eat alone’ group=‘strongly agree’ and ‘somewhat agree’ responses.

n and % of total with non-missing data.

P value for χ 2 test; P<0·0125 is significant after adjusting for multiple comparisons (Bonferroni correction).

§ Candy, cookies, cake, ice cream, etc.

Regular soda, sports drinks, fruit drinks, sweetened teas and other drinks with added sugar.

Regular potato chips, corn chips or cheese puffs like Lays, Doritos, Cheetos, etc.

For all food-related parenting practices regarding FV, adolescents in the ‘often eat alone’ group were significantly less likely to agree with each parenting practice statement than adolescents in the ‘does not often eat alone’ group (Table 3) based on unadjusted analyses using χ 2 tests. Adolescents reporting they often eat alone were significantly more likely to agree that parents let them have junk food or sugary drinks if they had a bad day (27 v. 17 %) and were less likely to agree that parents don’t buy a lot of junk food or sugary drinks (44 v. 53 %) and that it’s OK for parents to make rules about junk food or sugary drinks (48 v. 59 %) than adolescents reporting they did not often eat alone (Table 4).

Table 3 Unadjusted associations between eating alone and parenting practices regarding fruits and vegetables (FV) among US adolescents (aged 12–17 years) who completed Family Life, Activity, Sun, Health, and Eating (FLASHE) Study surveys, April–October 2014

* Adolescents responded to the following question for each statement: ‘How much do you disagree or agree with statements regarding what your parent(s) say and do when it comes to eating fruits and vegetables?’ Disagree/neither agree nor disagree=‘strongly disagree’, ‘somewhat disagree’ and ‘neither agree nor disagree’; agree=‘somewhat agree’ and ‘strongly agree’.

Responses to the statement ‘In my family, I often eat alone’ were used to identify eating alone groups: ‘does not often eat alone’ group=‘strongly disagree’, ‘somewhat disagree’ and ‘neither disagree nor agree’ responses; ‘often eat alone’ group=‘strongly agree’ and ‘somewhat agree’ responses.

n and % of total with non-missing data.

§ P value for χ 2 test; P<0·007 is significant after adjusting for multiple comparisons (Bonferroni correction).

Table 4 Unadjusted associations between eating alone and parenting practices regarding junk food (JF) and sugary drinks among US adolescents (aged 12–17 years) who completed Family Life, Activity, Sun, Health, and Eating (FLASHE) Study surveys, April–October 2014

* Adolescents responded to the following question for each statement: ‘How much do you disagree or agree with statements regarding what your parent(s) say and do when it comes to eating junk food or drinking sugary drinks?’ Disagree/neither agree nor disagree=‘strongly disagree’, ‘somewhat disagree’ and ‘neither agree nor disagree’; agree=‘somewhat agree’ and ‘strongly agree’.

Responses to the statement ‘In my family, I often eat alone’ were used to identify eating alone groups: ‘does not often eat alone’ group=‘strongly disagree’, ‘somewhat disagree’ and ‘neither disagree nor agree’ responses; ‘often eat alone’ group=‘strongly agree’ and ‘somewhat agree’ responses.

n and % of total with non-missing data.

§ P value for χ 2 test; P<0·007 is significant after adjusting for multiple comparisons (Bonferroni correction).

The mean number of days (over the past 7d) for each evening meal type (purchased from a fast-food restaurant, delivered, made from a heat-and-serve or box meal, and cooked from scratch or a recipe) differed by eating alone group based on unadjusted analyses using two-sample t tests where P<0·0125 was significant after adjusting for multiple comparisons. Adolescents in the ‘often eat alone’ group had a significantly higher mean number of days (1·18 (sd 1·43), 0·55 (sd 1·11) and 1·43 (sd 1·69)) with an evening meal purchased from a fast-food restaurant and eaten at home (P<0·0001), delivered to their home (P=0·010) and made from a heat-and-serve or box meal and eaten at home (P<0·0001), respectively, than those in the ‘does not often eat alone’ group (0·72 (sd 0·98), 0·38 (sd 0·71) and 0·88 (sd 1·22), respectively). Consistent with higher mean number of days for these three evening meal types, adolescents in the ‘often eat alone’ group had significantly fewer mean number of days with an evening meal cooked from scratch or a recipe and eaten at home (3·41 (sd 2·40)) than those in the ‘does not often eat alone’ group (4·29 (sd 2·10); P<0·0001).

Unadjusted analysis using Wilcoxon signed-rank tests showed that adolescents who reported that they often eat alone had significantly higher median daily intake frequency of convenience/fast food and fatty meats than those who reported that they do not often eat alone (Table 5). Adolescents who reported that they often eat alone also had significantly lower median daily intake frequency of all beneficial foods and FV than adolescents who did not report often eating alone (Table 5).

Table 5 Unadjusted between-group differences in median food intake daily frequencyFootnote * among US adolescents (aged 12–17 years) who completed Family Life, Activity, Sun, Health, and Eating (FLASHE) Study surveys, April–October 2014

IQR, interquartile range.

* Top-coded food frequency scale variables for daily intake.

Responses to the statement ‘In my family, I often eat alone’ were used to identify eating alone groups: ‘does not often eat alone’ group=‘strongly disagree’, ‘somewhat disagree’ and ‘neither disagree nor agree’ responses; ‘often eat alone’ group=‘strongly agree’ and ‘somewhat agree’ responses.

Median and IQR (=quartile 1–quartile 3) for those with non-missing data.

§ P value for Wilcoxon signed-rank test; P<0·005 is significant after adjusting for multiple comparisons (Bonferroni correction).

The final logistic regression model included adolescent age, race/ethnicity, sex, binary weight status, FV availability, sweets availability, two perceived food-related parenting practice items (‘My parent(s) and I decide together how many fruits and vegetables I have to eat’ and ‘It’s OK for parent(s) to make rules about junk food’), FV daily intake frequency, junk food/sugary drinks without frozen desserts or energy drinks daily intake frequency and a parent demographic variable (marital status). In the weighted logistic regression model adjusted for other factors (Table 6), the odds of adolescents somewhat/strongly agreeing that they often eat alone were significantly higher for non-Hispanic Black adolescents compared with non-Hispanic White adolescents (OR=1·7), for adolescents with overweight or obese weight status compared with normal- or underweight status (OR=1·6), for adolescents who reported that sweets were often/always available in the home (OR=1·4) and for each one additional daily intake frequency of junk food/sugary drinks (OR=1·1). However, the adjusted odds of adolescents often eating alone were not significantly different by adolescent age group or parent marital status. Adjusted odds of adolescents often eating alone were significantly lower for adolescents who reported that FV were often/always available in the home (OR=0·65), for adolescents who agreed that they made decisions with parents about how many FV they have to eat (OR=0·71) and for adolescents who agreed that it’s OK for parents to make rules about how much junk food/sugary drinks they can have (OR=0·71).

Table 6 Logistic regression models for adolescents eating alone (weighted) among US adolescents (aged 12–17 years) who completed Family Life, Activity, Sun, Health, and Eating (FLASHE) Study surveys, April–October 2014

FV, fruits and vegetables; JF, junk food; ref., reference category.

* Somewhat/strongly agree that they often eat alone.

Discussion

Although research has examined the influence of eating shared family meals on adolescents’ risk for overweight or obesity and eating patterns, less is known about the influence of adolescents’ independent eating occasions on their weight status and eating patterns( Reference Reicks, Banna and Cluskey 13 ). The adolescent life stage is particularly important to examine in relation to independent eating occasions because during these years children usually become more independent and spend more time away from their parents. With these issues in mind, the current study focused on the eating behaviours, weight status and adolescents’ perceptions of supportive food-related parenting practices for those who often eat alone compared with those who do not often eat alone.

The FLASHE Study collected information on adolescent and parent perceptions of food-related parenting practices; however, only adolescent perceptions were examined in the current study, similar to previous studies( Reference Girelli, Hagger and Mallia 21 Reference Gevers, van Assema and Sleddens 23 ). Adolescents’ perceptions of home physical- and socio-environmental factors affecting their dietary intake are relevant to their reported behaviours. Authors of a review on measurement of food parenting indicated that important qualitative differences existed between adolescent-reported and parent-reported food-related parenting practices( Reference Musher-Eizenman and Kiefner 33 ). Others have reported lack of congruence between parents and their adolescent children about communication and decision making around food( Reference de Bourdeaudhuij and van Oost 34 ), and lack of concordance among parents regarding parent-reported home food and physical activity environmental factors that influence adolescent eating patterns and physical activity( Reference Berge, MacLehose and Meyer 35 ). In addition, social desirability bias may result in parents under-reporting their own negative perceptions/behaviours and over-reporting positive perceptions/behaviours( Reference de Bourdeaudhuij and van Oost 34 ). Therefore, consideration of adolescent perceptions of the home food environment and parenting practices was of interest in the current study.

The frequency of eating alone has been assessed in different ways among children and adolescents in several studies. For example, US National Health and Nutrition Examination Survey data (2007–2010) showed that the frequency of meals the family ate together with a youth aged 6–19 years ranged from 4·2 to 6·1 meals per week( Reference Masters, Krogstrand and Eskridge 36 ), indicating that a number of meals were eaten alone or away from family members per week. Middle-school students in another study reported spending about 19 % of their time eating alone( Reference Miller, Hering and Cothran 37 ). Results from another sample of middle-school students indicated that 5 % ate dinner alone based on a cross-sectional, web-based survey regarding food intake for eating occasions throughout the previous day( Reference Woodruff, Campbell and Campbell 38 ). In our study, 21 % of adolescents agreed that they often eat alone when asked about their agreement with one statement: ‘In my family, I often eat alone’. Lack of consistent measures and limited assessment of the frequency of eating alone in previous studies constrain the ability to evaluate the relevance of eating alone to adolescent dietary quality. Additional study of methods to assess the frequency of eating alone are needed, possibly including non-survey measures such as observational coding and ecological momentary assessment, as suggested by others( Reference Musher-Eizenman and Kiefner 33 ).

Potential parental demographic and household characteristics that could explain why adolescents in the current study reported often eating alone were examined. These variables included household composition based on marital status and variables related to family socio-economic status such as parental employment, work hours, education and household income. However, only parental marital status was associated with adolescents eating alone in unadjusted analysis and was not significantly associated with adolescents eating alone after adjusting for other factors in the regression model. In contrast in another study, more middle-school students with a low school-level socio-economic status reported that they ate dinner alone than students with a higher school-level socio-economic status in a web-based survey( Reference Woodruff, Campbell and Campbell 38 ). In the current study, the odds of adolescents agreeing that they often eat alone were significantly higher for non-Hispanic Black adolescents compared with non-Hispanic White adolescents after adjusting for other factors in the regression model. These findings indicate that further study is needed to determine how household composition, socio-economic status and race/ethnicity might interact to explain the frequency of adolescents eating alone. The percentage of adolescents agreeing that they often eat alone and associations with race/ethnicity in the current study are of concern, given the observed relationship with less healthy eating behaviours and overweight and obesity.

Results from our study showed that the odds of often eating alone were higher for each additional one daily intake frequency of junk food/sugary drinks. Parental supervision is lacking during independent eating occasions; therefore adolescents have greater responsibility for preparing meals and selecting foods and beverages for snacks and meals. Interviews with low-income adolescents with primary responsibilities for cooking in the home indicated that food choices were attributed to their familiarity with a dish and/or ingredients, cooking skills, consultation with the primary household food preparer and the type of foods available in the home( Reference Leak, Aasand and Vickers 39 ). Our results indicate that the likelihood of often eating alone was associated with adolescents reporting a higher availability of sweets in the home and lower availability of FV in the home. Therefore, availability may explain, in part, the higher odds of eating alone for each additional one daily intake frequency of junk food/sugary drinks. Consistent with our findings, Loth et al.( Reference Loth, MacLehose and Larson 17 ) found that healthy food availability was positively associated with adolescent FV intake and negatively associated with snack and soda consumption. Parenting practices (fruit and vegetable access and availability) were stronger determinants of adolescent FV intake than family meals in another study( Reference Watts, Loth and Berge 22 ).

In the current study, overweight and obese adolescents were more likely to report eating alone than normal- or underweight adolescents. Similar results were reported among Japanese adolescents aged 12–13 years based on cross-sectional surveys showing that girls but not boys who reported eating dinner alone more often were more likely to be overweight( Reference Shirasawa, Ochiai and Yoshimoto 40 ). Eating dinner alone was related to energy intake among young adolescents (mean age 12·3 years) who completed a web-based survey to report intake on the previous day( Reference Woodruff, Campbell and Campbell 38 ). Less energy was consumed during the dinner meal when eating with family members than when eating alone. Eating with others v. eating alone may present different social cues which could be related to intake and therefore weight status. Among adults who logged everyday snacking behaviour for two weeks, those with a higher BMI were more likely to consume higher-energy snacks when they were alone than those with a lower BMI( Reference Schuz, Revell and Hills 41 ), indicating that weight status was related to responsiveness to social cues such as seeing others eat or eating alone. Limited research among adolescents is available regarding the relationship between weight status and eating alone; however, the positive relationship found in the few published studies in this field indicates a need for further studies to determine how eating alone affects energy intake and weight status.

Adjusted odds of adolescents often eating alone in the current study were lower for those who agreed that they made decisions with parents about how many FV they have to eat and for adolescents who agreed that it’s OK for parents to make rules about how much junk food/sugary drinks they can have. These findings support the idea that adolescents who often eat alone have a sense of independence regarding their food and beverage intake and are taking responsibility for their own food choices. Preparation for making healthy choices during independent eating occasions should be based on the use of autonomy-supportive parenting practices( Reference Ryan and Deci 18 ). These include encouragement of healthy eating, education/reasoning and involving the adolescent in meal planning, grocery shopping and meal preparation( Reference Vaughn, Ward and Fisher 16 ). Autonomy promotion could therefore produce the intrinsic motivation and confidence for adolescents to follow parental rules during independent eating occasions.

A limitation of our study was that although the study sample was a nationwide sample, it was not nationally representative, limiting our ability to generalize findings to the US adolescent population. Intake frequency of foods and beverages, height and weight were self-reported and therefore subject to recall and social desirability biases. In addition, the study design was cross-sectional and thus it is impossible to make inferences about causation.

Conclusions

Overweight or obese adolescents v. normal- or underweight adolescents and non-Hispanic Black v. non-Hispanic White adolescents were more likely to report often eating alone. The odds of often eating alone were higher for each one additional daily intake frequency of junk food/sugary drinks and the likelihood of often eating alone was associated with adolescents reporting a lower availability of FV and a higher availability of sweets in the home. The odds of adolescents often eating alone were lower for those who agreed with two parenting practice items based on setting expectations for intake of FV and accepting parents’ rules about these expectations. Adolescence is considered a foundational life stage where individual patterns for long-term health behaviours are established that last into and throughout adulthood( Reference Sawyer, Afifi and Bearinger 42 ). Eating patterns in adolescence are generally seen as remaining stable into adulthood( Reference Cutler, Flood and Hannan 43 , Reference Lake, Mathers and Rugg-Gunn 44 ). Researchers have shown that adolescents eating together with their family acts as a protective factor against overweight and obesity, as well as unhealthy eating patterns. American lifestyle changes have resulted in fewer family meals( Reference Walton, Kleinman and Rifas-Shiman 2 , Reference Neumark-Stzainer, Wall and Fulkerson 3 ), which may indicate that adolescents eat alone more often. Therefore, limited opportunities may exist for parents to encourage and model healthy food choices. The results of the current study indicate that public health professionals could promote autonomy-supportive parenting and improved availability and accessibility of healthy foods to foster healthy eating among adolescents. Additional research is needed to identify frequency of eating alone among adolescents based on a more precise measure than was used in the current study, along with reasons for eating alone. Further studies on the relationship of frequency of eating alone among adolescents with energy, food group and nutrient intakes, and weight status could also improve understanding of potentially effective intervention strategies for parents and adolescents to improve intake when adolescents eat alone.

Acknowledgements

Financial support: This project was funded through money appropriated by Congress through the Hatch Act to the Agricultural Experiment Stations of land grant universities for multistate research projects. These funding bodies had no role in the design of the study; collection, analysis and interpretation of data; or in writing the manuscript. This research was supported by the National Institutes of Health’s National Center for Advancing Translational Sciences (grant number UL1TR002494). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health’s National Center for Advancing Translational Sciences. Conflict of interest: The authors declare that they have no competing interests. Authorship: M.R., C.D., A.K.A., J.B., M.K., C.G., B.J., R.R., G.T. and S.S.W. conceptualized the research question and data analysis approach. C.D. analysed the data regarding relationships between variables of interest. M.R., C.D., A.K.A., J.B., M.K., C.G., B.J., R.R., G.T. and S.S.W. interpreted the findings and were major contributors in writing the manuscript. All authors read and approved the final manuscript. Ethics of human subject participation: This study was conducted according to the guidelines laid down in the Declaration of Helsinki and all procedures involving human subjects were approved by the US Government’s Office of Management and Budget, National Cancer Institute Special Studies Institutional Review Board and Westat’s Institutional Review Board. FLASHE data collection materials and procedures were reviewed and approved by the US Government’s Office of Management and Budget (OMB clearance date/number: 13 December 2013/0925-0686), NCI’s Special Studies Institutional Review Board (SSIRB clearance date/iRIS number: 30 May 2013/327123) and Westat’s Institutional Review Board (IRB clearance date/number: 14 March 2013/6053.01.01). Parents and adolescents were contacted by an Internet consumer panel (Ipsos Consumer Opinion Poll) by email and invited to enrol via a website where they were asked to complete consent and assent forms prior to participation. The University of Minnesota’s Institutional Review Board determined that this secondary analysis of existing anonymous data was exempt from review.

References

1. Pew Research Center (2015) Parenting in America: Outlook, worries, aspirations are strongly linked to financial situation. http://www.pewresearch.org/wp-content/uploads/sites/3/2015/12/2015-12-17_parenting-in-america_FINAL.pdf (accessed November 2018).Google Scholar
2. Walton, D, Kleinman, KP, Rifas-Shiman, SL et al. (2016) Secular trends in family dinner frequency among adolescents. BMC Res Notes 9, 35.Google Scholar
3. Neumark-Stzainer, D, Wall, M, Fulkerson, JA et al. (2013) Changes in the frequency of family meals from 1999 to 2010 in the homes of adolescents: trends by sociodemographic characteristics. J Adolesc Health 52, 201206.Google Scholar
4. Fulkerson, JA, Larson, N, Horning, M et al. (2014) A review of associations between family or shared meal frequency and dietary and weight status outcomes across the lifespan. J Nutr Educ Behav 46, 219.Google Scholar
5. Martin-Biggers, J, Spaccarotella, K, Berhaupt-Glickstein, A et al. (2014) Come and get it! A discussion of family mealtime literature and factors affecting obesity risk. Adv Nutr 5, 235247.Google Scholar
6. Horning, ML, Schow, R, Friend, SE et al. (2017) Family dinner frequency interacts with dinnertime context in associations with child and parent BMI outcomes. J Fam Psychol 31, 945951.Google Scholar
7. Berge, JM, Jin, SW, Hannan, P et al. (2013) Structural and interpersonal characteristics of family meals: associations with adolescent body mass index and dietary patterns. J Acad Nutr Diet 113, 816822.Google Scholar
8. Hammons, AJ & Fiese, BH (2011) Is frequency of shared family meals related to the nutritional health of children and adolescents? Pediatrics 127, e1565e1574.Google Scholar
9. Berge, JM, Wall, M, Hsueh, TF et al. (2015) The protective role of family meals for youth obesity: 10-year longitudinal associations. J Pediatr 166, 296301.Google Scholar
10. Goldfield, GS, Murray, MA, Buchholz, A et al. (2011) Family meals and body mass index among adolescents: effects of gender. Appl Physiol Nutr Metab 36, 539546.Google Scholar
11. Neumark-Sztainer, D, Larson, NI, Fulkerson, JA et al. (2010) Family meals and adolescents: what have we learned from Project EAT (Eating Among Teens)? Public Health Nutr 13, 11131121.Google Scholar
12. Rollins, BY, Belue, RZ & Francis, LA (2010) The beneficial effect of family meals on obesity differs by race, sex, and household education: the National Survey of Children’s Health, 2003–2004. J Am Diet Assoc 110, 13351339.Google Scholar
13. Reicks, M, Banna, J, Cluskey, M et al. (2015) Influence of parenting practices on eating behaviors of early adolescents during independent eating occasions: implications for obesity prevention. Nutrients 7, 87838801.Google Scholar
14. Cruwys, T, Bevelander, KE & Hermans, RCJ (2015) Social modeling of eating: a review of when and why social influence affects food intake and choice. Appetite 86, 318.Google Scholar
15. Birch, LL, Fisher, JO & Davison, KK (2003) Learning to overeat: maternal use of restrictive feeding practices promotes girls’ eating in the absence of hunger. Am J Clin Nutr 78, 215220.Google Scholar
16. Vaughn, AE, Ward, DS, Fisher, JO et al. (2016) Fundamental constructs in food parenting practices: a content map to guide future research. Nutr Rev 74, 98117.Google Scholar
17. Loth, KA, MacLehose, RF, Larson, N et al. (2016) Food availability, modeling and restriction: how are these different aspects of the family eating environment related to adolescent dietary intake? Appetite 96, 8086.Google Scholar
18. Ryan, R & Deci, E (2000) Self-determination theory and the facilitation of intrinsic motivation. Am Psychol 55, 6878.Google Scholar
19. Grolnick, WS (2003) The Psychology of Parental Control: How Well-Meant Parenting Backfires. Mahwah, NJ: Erlbaum.Google Scholar
20. Dwyer, LA, Bolger, N, Laurenceau, J-P et al. (2017) Autonomous motivation and fruit/vegetable intake in parent–adolescent dyads. Am J Prev Med 52, 863871.Google Scholar
21. Girelli, L, Hagger, M, Mallia, L et al. (2016) From perceived autonomy support to intentional behaviour: testing an integrated model in three healthy-eating behaviours. Appetite 96, 280292.Google Scholar
22. Watts, AW, Loth, K, Berge, JM et al. (2017) No time for family meals? Parenting practices associated with adolescent fruit and vegetable intake when family meals are not an option. J Acad Nutr Diet 117, 707714.Google Scholar
23. Gevers, DWM, van Assema, P, Sleddens, EFC et al. (2015) Associations between general parenting, restrictive snacking rules, and adolescent’s snack intake. The role of fathers and mothers and interparental congruence. Appetite 87, 184191.Google Scholar
24. US Department of Health and Human Services, National Cancer Institute (2017) 2014 Family Life, Activity, Sun, Health and Eating (FLASHE) Survey Data. FLASHE Public Use Data Files and Supporting Documentation. http://cancercontrol.cancer.gov/brp/hbrb/flashe.html (accessed January 2018).Google Scholar
25. Nebeling, LC, Hennessy, E, Oh, AY et al. (2017) The FLASHE Study: survey development, dyadic perspectives, and participant characteristics. Am J Prev Med 52, 839848.Google Scholar
26. Oh, AY, Davis, T, Dwyer, LA et al. (2017) Recruitment, enrollment, and response of parent–adolescent dyads in the FLASHE Study. Am J Prev Med 52, 849855.Google Scholar
27. US Department of Health and Human Services, National Cancer Institute (NCI) (2017) 2014 Family Life, Activity, Sun, Health and Eating (FLASHE) Survey Data. Guide for Data Users: Version 2, Updated October 2017. https://cancercontrol.cancer.gov/brp/hbrb/docs/FLASHE-Data-Users-Guide.pdf (accessed January 2018).Google Scholar
28. Centers for Disease Control and Prevention, Division of Nutrition, Physical Activity, and Obesity (2016) Nutrition | Growth Chart Training. http://www.cdc.gov/nccdphp/dnpao/growthcharts/resources/sas.htm (accessed January 2018).Google Scholar
29. Birch, LL, Fisher, JO, Grimm-Thomas, K et al. (2001) Confirmatory factor analysis of the Child Feeding Questionnaire: a measure of parental attitudes, beliefs, and practices about child feeding and obesity proneness. Appetite 36, 201210.Google Scholar
30. Musher-Eizenman, D & Holub, S (2007) Comprehensive feeding practices questionnaire: validation of a new measure of parental feeding practices. J Pediatr Psychol 32, 960972.Google Scholar
31. Wardle, J, Sanderson, S, Guthrie, CA et al. (2002) Parental feeding style and the inter-generational transmission of obesity risk. Obes Res 10, 453462.Google Scholar
32. Darling, N, Cumsille, P & Martinez, ML (2008) Individual differences in adolescents’ beliefs about the legitimacy of parental authority and their own obligation to obey: a longitudinal investigation. Child Dev 79, 11031118.Google Scholar
33. Musher-Eizenman, DR & Kiefner, A (2013) Food parenting: a selective review of current measurement and an empirical examination to inform future measurement. Child Obes 9, Suppl., S32S39.Google Scholar
34. de Bourdeaudhuij, I & van Oost, P (2000) Personal and family determinants of dietary behavior in adolescents and their parents. Psychol Health 15, 751770.Google Scholar
35. Berge, JM, MacLehose, RF, Meyer, C et al. (2016) He said, she said: examining parental concordance on home environment factors and adolescent health behaviors and weight status. J Acad Nutr Diet 116, 4660.Google Scholar
36. Masters, MA, Krogstrand, KLS, Eskridge, KM et al. (2014) Race/ethnicity and income in relation to the home food environment in US youth aged 6 to 19 years. J Acad Nutr Diet 114, 15331543.Google Scholar
37. Miller, WC, Hering, M, Cothran, C et al. (2012) After-school physical activity and eating behaviors of middle school students in relation to adult supervision. J Nutr Educ Behav 44, 326334.Google Scholar
38. Woodruff, SJ, Campbell, K, Campbell, T et al. (2014) The associations of meals and snacks on family meals among a sample of grade 7 students from Southwestern Ontario. Appetite 82, 6166.Google Scholar
39. Leak, TM, Aasand, TA, Vickers, Z et al. (2018) The role of adolescents from a low socioeconomic background in household food preparation: a qualitative study. Health Promot Pract. Published online: 1 May 2018. doi: 10.1177/1524839918776647.Google Scholar
40. Shirasawa, T, Ochiai, H, Yoshimoto, T et al. (2018) Effects of eating dinner alone on overweight in Japanese adolescents: a cross-sectional survey. BMC Pediatr 18, 36.Google Scholar
41. Schuz, B, Revell, S, Hills, AP et al. (2017) Higher BMI is associated with stronger effects of social cues on snacking behavior. Appetite 114, 15.Google Scholar
42. Sawyer, SM, Afifi, RA, Bearinger, LH et al. (2012) Adolescence: a foundation for future health. Lancet 379, 16301640.Google Scholar
43. Cutler, GJ, Flood, A, Hannan, P et al. (2009) Major patterns of dietary intake in adolescents and their stability over time. J Nutr 139, 323328.Google Scholar
44. Lake, AA, Mathers, JC, Rugg-Gunn, AJ et al. (2006) Longitudinal changes in food habits between adolescence (11–12 years) and adulthood (32–33 years): the ASH30 study. J Public Health (Oxf) 28, 1016.Google Scholar
Figure 0

Table 1 Unadjusted associations between eating alone and demographic and physical characteristics among US adolescents (aged 12–17 years) who completed Family Life, Activity, Sun, Health, and Eating (FLASHE) Study surveys, April–October 2014

Figure 1

Table 2 Unadjusted associations between eating alone and perceptions of home food availability among US adolescents (aged 12–17 years) who completed Family Life, Activity, Sun, Health, and Eating (FLASHE) Study surveys, April–October 2014

Figure 2

Table 3 Unadjusted associations between eating alone and parenting practices regarding fruits and vegetables (FV) among US adolescents (aged 12–17 years) who completed Family Life, Activity, Sun, Health, and Eating (FLASHE) Study surveys, April–October 2014

Figure 3

Table 4 Unadjusted associations between eating alone and parenting practices regarding junk food (JF) and sugary drinks among US adolescents (aged 12–17 years) who completed Family Life, Activity, Sun, Health, and Eating (FLASHE) Study surveys, April–October 2014

Figure 4

Table 5 Unadjusted between-group differences in median food intake daily frequency* among US adolescents (aged 12–17 years) who completed Family Life, Activity, Sun, Health, and Eating (FLASHE) Study surveys, April–October 2014

Figure 5

Table 6 Logistic regression models for adolescents eating alone (weighted) among US adolescents (aged 12–17 years) who completed Family Life, Activity, Sun, Health, and Eating (FLASHE) Study surveys, April–October 2014