Trajectories of Early Adolescent Loneliness: Implications for Physical Health and Sleep

The current study examines the relationship between prolonged loneliness, physical health, and sleep among young adolescents (10–13 years; N = 1214; 53% girls). Loneliness was measured at 10, 12 and 13 years of age along with parent-reported health and sleep outcomes. Using growth mixture modelling, 6 distinct trajectories were identified: ‘low increasing to high loneliness’ (n = 23, 2%), ‘high reducing loneliness’ (n = 28, 3%), ‘medium stable loneliness’ (n = 60, 5%), ‘medium reducing loneliness’ (n = 185, 15%), ‘low increasing to medium loneliness’ (n = 165, 14%), and ‘low stable loneliness’ (n = 743, 61%). Further analyses found non-significant differences between the loneliness trajectories and parent-report health and sleep outcomes including visits to health professionals, perceived general health, and sleep quality. The current study offers an important contribution to the literature on loneliness and health. Results show that the relationship may not be evident in early adolescence when parent reports of children’s health are used. The current study highlights the importance of informant choice when reporting health. The implications of the findings for future empirical work are discussed

Patterns of socioeconomic inequality in adolescent health differ according to the measure of socioeconomic position

Abstract Socioeconomic differences in health are ubiquitous across age groups, cultures,and health domains. However, variation in the size and pattern of health inequalities appears to relate to the measure of socioeconomic position (SEP) applied. Little attention has been paid to these differences in adolescents and their implications for health surveillance and policy. We examined health inequalities in 1371 adolescents in seven European countries using four measures of SEP: youth-reported material assets and subjective social status and parent-reported material assets and household income. For each SEP variable, we estimated risk ratios, risk differences, concentration curves, and concentration indices of inequality for fair/poor self-rated health and low life satisfaction. Results showed that inequalities in health and life satisfaction were largest when subjective social status was used as the SEP variable. Moreover, health inequalities defined by subjective social status did not change after differences in assets and income were statistically controlled. Although material assets yielded similar health inequalities as household income, the results suggest that subjective and objective SEP relate differently to adolescent health and are not equivalent indicators of the same construct. In addition, possible bidirectional effects on health and wellbeing may inflate health inequalities defined by subjective social status. These results indicate that SEP differences in adolescent health are relate more closely to psychosocial processes than to material inequality