Abstract
Background:
Meta-analysis shows that parental cigarette smoking is associated with child obesity.
Objectives:
This study tested for associations between severity of maternal nicotine dependence and longitudinal changes in child eating behavior in archival data analysis.
Methods:
Maternal nicotine dependence was assessed with the Fagerstrom Test for Nicotine Dependence. Child eating behavior was assessed with the Child Eating Behavior Questionnaire when children were ages 4, 6, 8, and 10.
Results:
Over and above the influence of child age, child biological sex, and family income-to-needs ratio, more severe maternal nicotine dependence was associated with greater increases in child Food Responsiveness (γ = 0.07, SEγ = 0.03, p = .014, 95% CI [0.01, 0.13]) and Emotional Overeating (γ = 0.06, SEγ = 0.03, p = .024, 95% CI [0.01, 0.11]) across six years.
Conclusions:
Maternal nicotine dependence may be a transdiagnostic risk factor that identifies children at risk for reward-driven, obesogenic eating behavior.
Keywords: childhood, eating behavior, longitudinal, parental nicotine dependence, reward
Introduction
Over 20 million U.S. adults smoke tobacco cigarettes [1]. The majority of these smokers do not quit [2], and individuals do not “mature out” of cigarette smoking during adulthood the way they do with use of other addictive substances [3]. Adults who smoke thus represent a group highly vulnerable to addictive substances.
Critically, children of adults who smoke are likewise vulnerable to addictive substances. Parental cigarette smoking is associated with greater likelihood of adolescent (ages 12-17) initiation of cigarette smoking [4], and with greater adolescent use of other substances including alcohol and marijuana [5]. Maternal (versus paternal) substance use particularly shows robust associations with adolescent substance use [4, 5]. Thus, children of parents (especially mothers) who smoke are generally vulnerable to substance use.
Evidence is building that rewarding aspects of addictive substances overlap with those of processed foods high in refined carbohydrates and fat [6, 7]; foods that are now widely available in the “toxic” food environment and promote obesogenic eating (i.e., eating in a way that is a risk factor for obesity) [8]. Thus, children of parents (especially mothers) who smoke may also be vulnerable to obesogenic eating.
Indeed, a meta-analysis of 12 studies indicates that parental cigarette smoking is associated with youth (ages 3-18) obesity, with maternal (versus paternal) cigarette smoking demonstrating stronger influence [9]. However, there is a gap in understanding how parental cigarette smoking associates with child eating behavior. This gap is important to fill to guide prevention efforts. Child eating behavior is a potentially modifiable target for improving lifelong physical health [10]. Moreover, there are several types of eating behaviors observed in children (e.g., Food Responsiveness, Emotional Overeating, Satiety Responsiveness), with some especially obesogenic (e.g., Food Responsiveness, Emotional Overeating) [11]. Understanding which eating behaviors are associated with parental cigarette smoking may shed light on potential pathways tying this risk factor to child obesity.
The present study adds to the literature by investigating whether severity of maternal nicotine dependence is associated with longitudinal changes in child eating behavior. Maternal nicotine dependence was investigated given that maternal versus paternal cigarette smoking shows stronger associations with child obesity [9]. Associations with longitudinal changes in child eating behavior were tested because as children age they are exposed to new food environments that potentially provide greater access to processed foods high in refined carbohydrates and fat (e.g., school, friends’ homes). Child obesogenic eating is therefore likely to emerge over time. Our hypothesis was that more severe maternal nicotine dependence would be associated with greater longitudinal increases in child obesogenic eating.
Methods
This study was an archival data analysis of data from children (N = 57) who participated in four waves of the Appetite, Behavior, and Cortisol study at ages 4, 6, 8, and 10 [12]. Children were recruited from Head Start, a federally-funded preschool program for families whose income falls below federal poverty guidelines; full recruitment and exclusion details are reported elsewhere [12]. The University of Michigan Institutional Review Board approved procedures in accordance with the World Medical Association Declaration of Helsinki. Caretakers provided written informed consent while children provided age-appropriate verbal assent.
At Wave 4, caretakers reported on nicotine dependence. The present study’s final sample was restricted to children who had a mother who reported on nicotine dependence (n = 50). Nicotine dependence was indexed by a summed continuous score (0-10) from yes/no (0-1) and multiple-choice items (0-3) on the Fagerstrom Test for Nicotine Dependence [13], which measures current symptoms of substance use disorder specific to cigarette smoking (i.e., quantity of cigarettes smoked, compulsion to use). Mothers who reported that they did not currently smoke cigarettes (59.2%) received a score of 0, and higher total scores indicated more severe maternal nicotine dependence. Descriptives are presented in Table 1. 10.2%, 14.3%, 10.2%, and 2.0% mothers demonstrated low, low to moderate, moderate, and high dependence symptoms, respectively.
Table 1.
Sample Demographics, Variable Descriptives, & Multilevel Estimates of Time Slopes for Child Eating Behavior (n = 50).
Wave 1 | Wave 2 | Wave 3 | Wave 4 | ||
---|---|---|---|---|---|
% | |||||
Child Biological Sex (% Female) | 56.0% | -- | -- | -- | |
Child Race/Ethnicity (% Non-Hispanic White) | 56.0% | -- | -- | -- | |
M(SD) | M(SD) | M(SD) | M(SD) | ||
Child Age | 4.24(0.50) | 5.80(0.63) | 7.61(0.61) | 10.14(0.82) | |
Family Income-to-Needs Ratio | 0.65(0.50) | 0.79(0.43) | 0.99(0.71) | 0.96(0.68) | |
Maternal Nicotine Dependence1 | -- | -- | -- | 1.51(2.11) | |
Child Eating Behavior | M(SD) | M(SD) | M(SD) | M(SD) | Multilevel test of time slope significance |
Food Responsiveness | 2.45(0.96) | 2.83(0.97) | 3.22(0.96) | 2.91(0.89) |
β = 0.16, SEβ = 0.05, p < .001, 95% CI [0.07, 0.25] |
Enjoyment of Food | 3.88(0.85) | 4.06(0.72) | 4.22(0.62) | 4.02(0.75) |
β = 0.05, SEβ = 0.04, p = .242, 95% CI [−0.04, 0.14] |
Emotional Overeating | 1.94(0.70) | 2.16(0.78) | 2.39(0.83) | 2.22(0.82) |
β = 0.10, SEβ = 0.04, p = .030, 95% CI [0.01, 0.19] |
Emotional Undereating | 2.91(0.79) | 2.95(0.65) | 2.83(0.73) | 2.66(0.77) |
β = −0.10, SEβ = 0.04, p = .039, 95% CI [−0.18, −0.005] |
Desire to Drink | 3.63(1.05) | 3.55(1.29) | 3.65(1.02) | 3.08(1.18) |
β = −0.17, SEβ = 0.05, p = .002, 95% CI [−0.27, −0.06] |
Satiety Responsiveness | 2.80(0.64) | 2.78(0.48) | 2.45(0.56) | 2.45(0.59) |
β = −0.14, SEβ = 0.03, p < .001, 95% CI [−0.20, −0.07] |
Food Fussiness | 2.64(0.77) | 2.76(0.79) | 2.94(0.90) | 2.78(0.92) |
β = 0.05, SEβ = 0.04, p = .167, 95% CI [−0.02, 0.13] |
Maternal nicotine dependence was indexed by a summed continuous score (0-10) on the Fagerstrom Test for Nicotine Dependence [13]. 59.2%, 10.2%, 14.3%, 10.2%, and 2.0% mothers demonstrated no, low, low to moderate, moderate, and high dependence symptoms, respectively.
At Waves 1-4, caretakers completed the Child Eating Behavior Questionnaire [10], which is a 35-item informant report of eating behaviors observed in children. Responses to items ranged from 1 (Never) to 5 (Always). Multilevel growth modeling was conducted to confirm that average values of each child eating behavior significantly changed over time, and multilevel estimates are provided in Table 1. Food Responsiveness (appetitive drive and food cue responsiveness; αt1-t4 = .78, .78, .83, .81) and Emotional Overeating (eating more in response to negative affect; αt1-t4 = .77, .78, .85, .83) increased over time. Emotional Undereating (eating less in response to negative affect; αt1-t4 = .70, .62, .70, .71), Satiety Responsiveness (sensitivity to internal satiety signals; αt1-t4 = .73, .73, .69, .73), and Desire to Drink (drive for non-alcoholic beverages; αt1-t4 = .87, .90, .88, .92) decreased over time. Enjoyment of Food (interest in food; αt1-t4 = .83, .80, .80, .87) and Food Fussiness (selectivity about which foods are eaten; αt1-t4 = .85, .85, .88, .87) did not change over time. Given our hypothesis was to examine associations between maternal nicotine dependence and longitudinal changes in eating behavior, analyses were restricted to eating behaviors that changed over time.
To test how maternal nicotine dependence was associated with child eating behavior over time, multilevel growth modeling was conducted with time entered at Level 1. Each child eating behavior was a separate dependent variable. Time was centered such that the model’s slope represented changes in child eating behavior from age 4 to 10. Child age and family income-to-needs ratio were entered as time varying covariates at Level 1 [11]; child biological sex was entered as a time invariant covariate entered at Level 2 [10]. Random effects for time intercept and slope were included in all models except Food Responsiveness and Desire to Drink because those models fit better as indicated by a significantly smaller −2LL. The Food Responsiveness and Desire to Drink models fit better with random effects for time intercept only. All model estimations were conducted in SAS University Edition using the restricted maximum likelihood estimation approach, which accounts for missing data (<6% data were missing).
Results
Sample demographics are presented in Table 1. Multilevel estimates from hypothesis testing are presented in Table 2. More severe maternal nicotine dependence was significantly associated with greater increases in child Food Responsiveness and Emotional Overeating over six years. There were no significant associations of maternal nicotine dependence with decreases in child Emotional Undereating, Satiety Responsiveness, and Desire to Drink over six years.
Table 2.
Multilevel Estimates from Models testing Associations between Parental Nicotine Dependence and Longitudinal Changes in Child Eating Behavior (n = 50).
γ | SE γ | p | 95% CI | ||
---|---|---|---|---|---|
Lower | Upper | ||||
Child Food Responsiveness | |||||
Time x Maternal Nicotine Dependence1 | 0.07 | 0.03 | .014 | 0.01 | 0.13 |
Child Emotional Overeating | |||||
Time x Maternal Nicotine Dependence1 | 0.06 | 0.03 | .024 | 0.01 | 0.11 |
Child Emotional Undereating | |||||
Time x Maternal Nicotine Dependence1 | −0.03 | 0.03 | .339 | −0.09 | 0.03 |
Child Satiety Responsiveness | |||||
Time x Maternal Nicotine Dependence1 | −0.02 | 0.02 | .251 | −0.06 | 0.02 |
Child Desire to Drink | |||||
Time x Maternal Nicotine Dependence1 | 0.02 | 0.03 | .569 | −0.05 | 0.08 |
Child age and family income-to-needs ratio were entered as time varying covariates at Level 1. Child biological sex was entered as a time invariant covariate entered at Level 2. Results are statistically significant where p < .05.
Discussion
Cigarette smoking remains a prevalent and persistent behavior among U.S. adults [1-3], and children of parents (particularly mothers) who smoke are generally vulnerable to addictive substances [4 5]. Given that rewarding aspects of substances may overlap with those of processed foods high in refined carbohydrates and fat [6, 7], the present study used archival data analysis to test the hypothesis that maternal nicotine dependence would be associated with greater longitudinal increases in obesogenic eating behaviors. Over and above the influence of child age, child biological sex, and family income-to-needs ratio, maternal nicotine dependence was associated with greater increases in child Food Responsiveness and child Emotional Overeating across six years. Importantly, child Food Responsiveness and child Emotional Overeating are strongly associated with greater child body mass index in prior work [11].
Just as children of adults who smoke may inherit vulnerability towards substance use [4, 5], the present study results suggest that they may inherit vulnerability towards obesogenic eating because of overlap in rewarding aspects of substances and certain foods [6, 7]. Indeed, maternal nicotine dependence was selectively associated with increases in child eating behaviors that are reward-driven (i.e., Food Responsiveness, Emotional Overeating) [14]. However, multiple additional mechanisms may explain these results. First, families including mothers who smoke may experience greater family stress, which may contribute to child reward-driven, obesogenic eating [15]. Second, mothers who smoke may exhibit risk factors for obesity themselves including altered chemosensation, increased fat/carbohydrate liking, poor diet, dietary restraint, and altered food reinforcement [16, 17]; thus, they may provide a poor diet to children and/or model reward-driven, obesogenic eating. Third, mothers who smoke may expose children prenatally and during lactation, which—as shown in rodent models—may alter motivational drives for high-fat foods (although our measure of nicotine dependence did not ask about smoking during these periods) [18]. Critically, biologically inherited vulnerabilities, family stress, poor diet selection, parental modeling, and prenatal exposures may collectively place children of mothers who smoke at risk for obesogenic eating.
There are limitations that should be considered when interpreting results. Our index of maternal nicotine dependence is well validated [13] but biomarkers exist (e.g., plasma/hair cotinine) [19]. This index also was not collected at baseline, so although most smokers do not quit or “mature out” of cigarette smoking [2, 3], it is unclear what symptoms mothers demonstrated at baseline. The sample size was relatively small; however, multilevel models with sample sizes ≥ 50 at the highest level of analysis reduce likelihood of biased estimates [20].
In sum, maternal nicotine dependence may be a transdiagnostic risk factor that identifies children at risk for reward-driven, obesogenic eating behavior. Future research should identify the precise mechanisms by which this occurs.
Acknowledgements
J.R.C. conducted the literature search, analyzed data, interpreted data, generated tables, and wrote the initial draft of the manuscript. A.N.G. oversaw data analysis and interpretation. A.N.G., A.L.M., L.W.H. and J.C.L. oversaw data collection. All authors were involved in writing the paper and had final approval of the manuscript.
J.R.C. was supported by Award Number T32HD079350 from the Eunice Kennedy Shriver National Institute of Child Health and Human Development. The present research was supported by Award Number R01HD061356 from the Eunice Kennedy Shriver National Institute of Child Health and Human Development, and by Award Numbers R21DK090718, R01DK098983, and RC1DK086376 from the National Institute of Diabetes and Digestive and Kidney Diseases. The present research was also supported by a MCubed grant from the University of Michigan to J.C.L., L.W.H., and A.N.G. The content of this manuscript is solely the responsibility of the authors and does not necessarily represent the official views of the Eunice Kennedy Shriver National Institute of Child Health and Human Development, the National Institute of Diabetes and Digestive and Kidney Diseases, or the National Institutes of Health.
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