Judith S. Brook

This longitudinal study assesses the associations between developmental trajectories of religious service attendance from mean age 14 to mean age 43 and nicotine dependence and alcohol dependence/abuse at mean age 43 (N = 548). Six trajectories of religious service attendance were identified. As compared with belonging to weekly stable trajectory group, a higher probability of belonging to the weekly/none decreasing, occasional stable, and non-attendance trajectory group was significantly associated with a higher likelihood of nicotine dependence. In addition, as compared with belonging to weekly stable trajectory group, a higher probability of belonging to the weekly/none decreasing, weekly/occasional decreasing, occasional stable, and non-attendance trajectory group was significantly associated with a higher likelihood of alcohol dependence/abuse. These findings are consistent with the hypothesis that religious service attendance protects against nicotine dependence and alcohol dependence/abuse in early midlife.

Background: Posttraumatic stress disorder (PTSD) symptoms are related to a number of adverse consequences such as substance use and general medical conditions. The present longitudinal study seeks to find the longitudinal patterns of cannabis use as precursors of PTSD symptoms. Such information will serve as a guide for intervention programs for PTSD. Methods: Growth mixture modeling was conducted to identify the cannabis use trajectory groups using a community sample of 674 participants (53% African Americans, 47% Hispanics of Puerto Rican decent; 60% females) from the Harlem Longitudinal Development Study. Logistic regression analyses were performed to examine the association between earlier trajectories of cannabis use (ages 14 to 36) and later symptoms of PTSD (at age 36) for the full model including the entire sample (N = 674) as well as the reduced model including only participants who had experienced a traumatic event (n = 205). Results: Five trajectory groups of cannabis use were obtained. The chronic use group (full model: adjusted odds ratio [AOR] = 4.68, P < .01; reduced model: AOR = 4.27, P < .05), the late quitting group (full model: AOR = 6.18, P < .01; reduced model: AOR = 6.67, P < .01), and the moderate use group (full model: AOR = 3.97, P < .01; reduced model: AOR = 3.32, P < .05) were all associated with an increased likelihood of having PTSD symptoms at age 36 compared with the no use group. Conclusions: The findings provide information that PTSD symptoms in the mid-30s can possibly be reduced by decreasing membership in the chronic cannabis use trajectory group, the late quitting trajectory group, and the moderate cannabis use trajectory group.

Objective: To study the degree to which individuals in different trajectories of cigarette smoking from adolescence to the early forties are similar or different in terms of lack of preventive health behaviors (e.g., underuse of preventive health services, unhealthy eating habits) in early midlife. Methods: Participants came from a community-based random sample of residents in two upstate New York counties (N = 548). Data were collected from adolescence to early midlife (mean age = 43 years, standard deviation [SD] = 2.8) at seven time points. Using growth mixture modeling, we statistically identified the number of smoking trajectories. Logistic regression analysis was used to study the relationship between the probabilities of participants' smoking trajectory group membership and lack of preventive behaviors in early midlife. Results: Five trajectory groups of cigarette smokers were identified. With controls, as compared with the nonsmoker trajectory group, higher probabilities of belonging to the heavy/continuous smoker trajectory group and the late starter trajectory groups were significantly associated with a higher likelihood of lack of preventive health behaviors (adjusted odds ratio [AOR] = 3.49 and 4.02 respectively). In addition, as compared to the quitter/decreaser trajectory group, higher probabilities of belonging to the heavy/continuous smoker trajectory group and the late starter trajectory group were also significantly associated with a higher likelihood of lack of preventive health behaviors (AOR = 3.51 and 4.04 respectively). Conclusions: Intervention programs may consider focusing on heavy/continuous smokers and late starters in programs designed to promote adequate use of preventive health services and healthy general lifestyles in early midlife.

Background: To study the intergenerational transmission of externalizing behaviors. Methods: Participants came from a community-based random sample of residents in two upstate New York counties (N = 548). Data were collected from mothers at mean age 40 and from their children from adolescence (mean age = 14, SD = 2.8) to early midlife (mean age = 43, SD = 2.8) at seven time points. Structural equation modeling (SEM) was used to study the psychosocial factors as related to externalizing behaviors in early midlife. Results: First, maternal externalizing behaviors were indirectly associated with the offspring's externalizing behaviors through the offspring's substance use in adolescence, the offspring's partner's smoking patterns, and the offspring's marital conflict. Second, maternal cigarette smoking was indirectly associated with the offspring's externalizing behaviors through the offspring's substance use in adolescence, the offspring's partner's cigarette smoking, and the offspring's marital conflict. Third, maternal marital conflict had an indirect effect on the offspring's externalizing behaviors, mediated by offspring marital conflict. Conclusions: The finding that externalizing behaviors can be transmitted from parent to child informs the need for family-based interventions that are appropriate to adolescents.

The current study examines longitudinal patterns of cigarette smoking and depressive symptoms as predictors of generalized anxiety disorder using data from the Harlem Longitudinal Development Study. There were 674 African American (53%) and Puerto Rican (47%) participants. Among the 674 participants, 60% were females. In the logistic regression analyses, the indicators of membership in each of the joint trajectories of cigarette smoking and depressive symptoms from the mid-20s to the mid-30s were used as the independent variables, and the diagnosis of generalized anxiety disorder in the mid-30s was used as the dependent variable. The high cigarette smoking with high depressive symptoms group and the low cigarette smoking with high depressive symptoms group were associated with an increased likelihood of having generalized anxiety disorder as compared to the no cigarette smoking with low depressive symptoms group. The findings shed light on the prevention and treatment of generalized anxiety disorder.

Background: Due to the increasing prevalence of cannabis use disorder (CUD), the impact of cannabis use on public health may be significant. Objective: The present study seeks the possible precursors (e.g., alcohol use) of CUD in order to minimize the potential negative consequences of CUD such as impaired coordination and performance. Method: The Harlem Longitudinal Development Study included 674 participants (53% African Americans, 47% Puerto Ricans), with 60% females (n=405) from a six wave survey. We used a growth mixture model to obtain the trajectories of alcohol use from the mean ages of 14 to 36. To examine the associations between alcohol use trajectories and CUD, we used logistic regression analyses with the indicator of CUD as the dependent variable and the indicator of membership in each trajectory group as the independent variables. Results: A three alcohol use trajectory group model was selected. Male gender, higher frequency of cannabis use in adolescence, and a lower educational level were associated with an increased likelihood of having CUD. Membership in the increasing alcohol use group (OR=27.44, p < .01; AOR=15.54, p < .01) and the moderate alcohol use group (OR=10.40, p < .05; AOR=8.63, p < .05) were associated with an increased likelihood of having CUD compared with the membership in the no or low alcohol use group. Conclusions: The findings of our study support the hypothesis that addressing alcohol use at an early age could impact later CUD.

Few studies have examined the sociocultural determinants of risky sexual behavior trajectories among adult Latinas. To longitudinally examine the link between sociocultural determinants of risky sexual behaviors, we followed a sample of adult Latina mother-daughter dyads (n = 267) across a 10-year span through four waves of data collection. The present study investigates how risky sexual behavior (operationalized as sex under the influence of alcohol or other drugs, sex without a condom, or multiple sex partners) is affected by: (a) socioeconomic conditions; (b) mental health; (c) medical health; (d) acculturation to U.S. culture; (e) interpersonal support; (f) relationship stress; (g) mother-daughter attachment; (h) intimate partner violence; (i) religious involvement; and (j) criminal justice involvement. Results indicate the following factors are negatively associated with risky sexual behavior: drug and alcohol use, treating a physical problem with prescription drugs, religious involvement, and mother–daughter attachment. The following factors are positively associated with risky sexual behavior: higher number of mental health symptoms, being U.S.-born, and criminal justice involvement. We discuss implications for the future development of culturally relevant interventions based on the study findings.