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. Author manuscript; available in PMC: 2019 Oct 13.
Published in final edited form as: Public Health Nutr. 2019 Feb 28;22(9):1555–1566. doi: 10.1017/S1368980019000107

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

Marla Reicks 1,*, Cynthia Davey 2, Alex Kojo Anderson 3, Jinan Banna 4, Mary Cluskey 5, Carolyn Gunther 6, Blake Jones 7, Rickelle Richards 8, Glade Topham 9, Siew Sun Wong 10
PMCID: PMC6790227  NIHMSID: NIHMS1053511  PMID: 30813975

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 under-weight 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.

Keywords: Adolescents, Eating alone, Independent eating occasions, Food-related parenting practices, Eating behaviours, Weight status


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(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 socioeconomic backgrounds(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(4,5). In addition, although findings are somewhat mixed(6), research indicates that lower family meal frequency is related to higher odds of overweight and obesity for adolescents(7,8) and 10 years later in young adults(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(10,11). 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(12). In an observational study of family meals, Berge et al.(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(13).

Although little research has examined the parenting practices predictive of adolescents’ healthy food choice during independent eating occasions(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(14), avoidance of restriction or pressure(15), supportive monitoring of eating behaviours(16) and making healthy foods available(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(18). Autonomy-supportive parenting has been shown to lead to increased intrinsic motivation, greater receptivity to parent influence and positive outcomes in youth(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)(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(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(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(2123). 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(25,26) 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(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(2931). 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(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 7 d, 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 nonfried 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 ≥ 13·291 (i.e. where 99·95 % of scores would fall in a normal distribution). If the reported value corresponded with a Z-score ≥ 13·291, it was replaced with the value nearest to it without having a Z-score ≥ l3·291(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 χ2 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 multi-collinearity 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 χ2 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

Demographic and weight characteristics Eating alone group*
P value
All
(n 1652)
Often eat alone
(n 343)
Does not often eat alone
(n 1309)
n % n  % n %

Adolescent age group (n 1632)
 12–13 years 545 33·4 92 27·3 453 35·0
 14–17 years 1087 66·6 245 72·7 842 65·0   0·008
Adolescent sex (n 1628)
 Male 807 49·6 161 47·9 646 50·0
 Female 821 50·4 175 52·1 646 50·0   0·496
Adolescent race/ethnicity (n 1616)
 Hispanic 160 9·9 31 9·3 129 10·1
 Non-Hispanic Black alone 271 16·8 81 24·2 190 14·8
 Non-Hispanic White alone 1033 63·9 188 56·1 845 66·0
 Other 152 9·4 35 10·4 117   9·1   0·0003
Adolescent weight status (n 1592)
 Underweight (BMI < 5th percentile) 66 4·2 6 1·8   60   4·8
 Normal weight (BMI 5th– < 85th percentile) 1080 67·8 201 61·1 879 69·6
 Overweight (BMI 85th– < 95th percentile) 245 15·4 68 20·7 177 14·0
 Obese (BMI ≥95th percentile) 201 12·6 54 16·4    147) 11·6   0·0001
Parent education (n 1632)
 High school/General Equivalency Diploma or less 293 17·9 61 18–1   232 17·9
 Some college or more 1339 82·1 276 81·9 1063 82·1   0·937
Household income (n 1619)
 <$US 100000 1284 79·3 274 81·8 1010 78·7
 ≥$US 100000 335 20·7 61 18·2   274 21–3   0·208
Parent age group (n 1637)
 18–34 years 188 11·5 35 10·3 153 11·8
 35–44 years 710 43·4 140 41·3 570 43·9
 45–59 years 692 42·3 157 46·3 535 41·2
 ≥ 60 years 47 2·9 7 2·1   40   3·1   0·315
Parent sex (n 1637)
 Male 421 25·7 82 24·3 339 26·1
 Female 1216 74·3 256 75·7 960 73·9   0·491
Parent employment status (n 1630)
 Employed for wages 937 57·5 205 60·8 732 56·6
 Self-employed or not employed§ 693 42·5 132 39·2 561 43·4   0·163
Parent hours worked/week|| (n 1061)
 0–14 h 59 5·5 14 6·1   45   5·4
 15–30h 197 18·5 50 21·7 147 17·6
 31–40 h 513 48·1 115 49·8 398 47·6
 ≥ 41 h 298 27·9 52 22·5 246 29·4   0·169
Parent marital status (n 1619)
 Married 1175 72·4 224 66·7 951 73·9
 Divorced, widowed, separated 200 12·3 54 16·1 146 11·3
 Never married 157 9·7 42 12·5 115   8·9
 Member of unmarried couple 91 5·6 16 4·8   75   5·8   0·013
*

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 χ2 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 χ2 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

Food availability (How often are these
foods available in your home?)
Eating alone group*
P valued
All
(n 1652)
Often eat alone
(n 343)
Does not often eat alone
(n 1309)
n % n % n %

Fruits or vegetables (n 1645)
 Never/rarely/sometimes 309 18·8   94 27·8   215 16·4
 Often/always 1336 81·2 244 72·2 1092 83·6 <0·0001
Sweets§ (n 1651)
 Never/rarely/sometimes 907 54·9 169 49·3   738 56·4
 Often/always 744 45·1 174 50·7   570 43·6 0·018
Sugary drinks|| (n 1645)
 Never/rarely/sometimes 916 55·7 174 51·2   742 56·9
 Often/always 729 44·3 166 48·8   563 43·1 0·060
Chips (n 1650)
 Never/rarely/sometimes 863 52·3 172 50·3   691 52·8
 Often/always 787 47·7 170 49·7   617 47·2 0·403
*

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 χ2 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 χ2 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

Agreement with statements* Eating alone group
P value§
All
(n 1652)
Often eat alone
(n 343)
Does not often eat alone
(n 1309)
n % n % n %

My parent(s) buy FV for me (n 1648)
 Disagree/neither agree nor disagree 165 10·0   56 16·4   109   8·3
 Agree 1483 90·0 285 83·6 1198 91·7 <0·0001
My parent(s) try to eat FV when I’m around (n 1645)
 Disagree/neither agree nor disagree 400 24·3 107 31·4   293 22·5
 Agree 1245 75·7 234 68·6 1011 77·5   0·0006
My parent(s) encourage me to try different kinds of FV (n 1638)
 Disagree/neither agree nor disagree 224 13·7   72 21·3   152 11·7
 Agree 1414 86·3 266 78·7 1148 88·3 <0·0001
My parent(s) and I decide together how many FV I have to eat (n 1640)
 Disagree/neither agree nor disagree 960 58·5 225 66·4   735 56·5
 Agree 680 41·5 114 33·6   566 43·5   0·001
My parent(s) have to make sure that I eat enough FV (n 1640)
 Disagree/neither agree nor disagree 731 44·6 180 52·9   551 42·4
 Agree 909 55·4 160 47·1   749 57·6   0·0005
My parent(s) make me eat FV (n 1640)
 Disagree/neither agree nor disagree 761 46·4 190 55·9   571 43·9
 Agree 879 53·6 150 44·1   729 56·1 <0·0001
It’s OK for my parent(s) to make rules about how many FV I can have (n 1644)
 Disagree/neither agree nor disagree 739 45·0 177 51·9   562 43·1
 Agree 905 55·0 164 48·1   741 56·9   0·004
*

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 χ2 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

Agreement with statements* Eating alone group
P value§
All
(n 1652)
Often eat alone
(n 343)
Does not often eat alone
(n 1309)
n % n % n %

If I’ve had a bad day, my parent(s) let me have JF or sugary drinks to make me feel better (n 1649)
 Disagree/neither agree nor disagree 1331 80·7 249 73·0 1082 82·7
 Agree 318 19·3   92 27·0   226 17·3 <0·0001
My parent(s) don’t buy a lot of JF or sugary drinks for me (n 1648)
 Disagree/neither agree nor disagree 805 48·9 190 55·9   615 47·0
 Agree 843 51·2 150 44·1   693 53·0   0·004
My parent(s) try to avoid eating JF or sugary drinks when I’m around (n 1642)
 Disagree/neither agree nor disagree 981 59·7 219 64·6   762 58·5
 Agree 661 40·3 120 35·4   541 41·5   0·041
My parent(s) and I decide together how much JF or sugary drinks I can have (n 1647)
 Disagree/neither agree nor disagree 979 59·4 210 62·0   769 58·8
 Agree 668 40·6 129 38·0   539 41·2   0·292
My parent(s) have to make sure that I don’t eat too much JF or drink too many sugary drinks (n 1646)
 Disagree/neither agree nor disagree 848 51·5 183 54·0   665 50·9
 Agree 798 48··5 156 46·0   642 49·1   0·308
My parent(s) decide how much JF or sugary drinks I can have (n 1648)
 Disagree/neither agree nor disagree 899 54·6 202 59·2   697 53·3
 Agree 749 45·4 139 40·8   610 46·7   0·051
It’s OK for parent(s) to make rules about how much JF or sugary drinks I can have (n 1645)
 Disagree/neither agree nor disagree 713) 43·3 176 51·6   537 41·2
 Agree 932 56·7 165 48·4   767 58·8   0·0005
*

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 χ2 test; P< 0·007 is significant after adjusting for multiple comparisons (Bonferroni correction).

The mean number of days (over the past 7 d) 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 frequency* among US adolescents (aged 12–17 years) who completed Family Life, Activity, Sun, Health, and Eating (FLASHE) Study surveys, April–October 2014

n Eating alone group
P value§
Often eat alone
Does not often eat alone
Median IQR n Median IQR

Junk food 321 1·58 1·16–2·29 1243 1·58 1·16–2·29 0·027
Convenience/fast food 320 1·45 0·87–2·00 1251 1·29 0·87–1·74   0·0009
Sugar-sweetened beverages 318 1·00 0·58–2·00 1238 0·87 0·58–1·58 0·013
Junk food and sugar-sweetened beverages without frozen dessert and energy drinks 309 2·45 1·58–4·00 1220 2·29 1·52–3·29 0·008
Sugary food 326 1·29 0·87–2·00 1259 1·16 0·58–1·71 0·008
Fatty meat 325 0·71 0·29–1·29 1267 0·58 0·29–0·87   0·0002
All detrimental foods 294 4·58 3·32–6·87 1155 4·19 3·03–5·61 0·007
All beneficial foods 310 4·44 2·90–6·58 1207 5·29 3·58–7·16 <0·0001
Fruits and vegetables 315 1·87 1·16–3·29 1223 2·29 1·45–3·71 <0·0001

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

OR estimates for adolescents often eating alone* (FLASHE raking
weights for Adolescent Diet Survey applied)
(n 1370)
Adjusted OR estimate 95 % Wald confidence limits P value

Adolescent age group
 12–13 years 1·000 Ref.
 14–17 years 1·279 0·917, 1·784 0·147
Adolescent race/ethnicity
 Non-Hispanic White alone 1·000 Ref.
 Hispanic 1·139 0·689, 1·881 0·612
 Non-Hispanic White alone 1·000 Ref.
 Non-Hispanic Black alone 1·741 1·163, 2·607 0·007
 Non-Hispanic White alone 1·000 Ref.
 Other 1·470 0·922, 2·343 0·105
Adolescent sex
 Male 1·000 Ref.
 Female 1·083 0·808, 1·453 0·592
Adolescent weight group
 Normal- or overweight 1·000 Ref.
 Overweight/obese 1·647 1·201, 2·257 0·002
Adolescent-reported FV available in home
 Never/rarely/sometimes 1·000 Ref.
 Often/always 0·645 0·437, 0·952 0·027
Adolescent-reported sweets available in home
 Never/rarely/sometimes 1·000 Ref.
 Often/always 1·384 1·001, 1·912 0·049
Adolescent-reported: Parents and I decide together how many FV I have to eat
 Disagree/neither agree nor disagree 1·000 Ref.
 Somewhat/strongly agree 0·714 0·513, 0·993 0·045
Adolescent-reported: It’s OK for parents to make rules about JF
 Disagree/neither agree nor disagree 1·000 Ref.
 Somewhat/strongly agree 0·706 0·513, 0·974 0·034
Adolescent JF and sugary drink daily intake frequency without frozen desserts or energy drinks (1 daily intake frequency increase) 1·095 1·002, 1·196 0·044
Adolescent FV daily intake frequency (1 daily intake frequency increase) 0·928 0·843, 1·023 0·134
Parent marital status
 Married 1·000 Ref.
 Divorced, widowed or separated 1·408 0·906, 2·188 0·128
 Married 1·000 Ref.
 Member of an unmarried couple 1·004 0·471, 2·137 0·992
 Married 1·000 Ref.
 Never married 1·245 0·756, 2·050 0·389

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(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(2123). 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(33). Others have reported lack of congruence between parents and their adolescent children about communication and decision making around food(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(35). In addition, social desirability bias may result in parents under-reporting their own negative perceptions/behaviours and over-reporting positive perceptions/behaviours(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(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(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(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(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(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(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.(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(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(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(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(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(18). These include encouragement of healthy eating, education/reasoning and involving the adolescent in meal planning, grocery shopping and meal preparation(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(42). Eating patterns in adolescence are generally seen as remaining stable into adulthood(43,44). 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(2,3), 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.

Footnotes

Conflict of interest: The authors declare that they have no competing interests.

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.

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