2020
DOI: 10.1038/s41562-019-0810-4
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Clustering of health, crime and social-welfare inequality in 4 million citizens from two nations

Abstract: Health and social scientists have documented the hospital revolving-door problem, the concentration of crime, and long-term welfare-dependence. Have these distinct fields identified the same citizens? Using administrative databases linked to 1.7-million New Zealanders, we quantified and monetized inequality in distributions of health and social problems and tested whether they aggregate within individuals. Marked inequality was observed: Gini coefficients equaled 0.96 for criminal-convictions, 0.91 for public-… Show more

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Cited by 68 publications
(67 citation statements)
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References 39 publications
(46 reference statements)
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“…Participants ( n = 1037; 91% of eligible births; 52% male) were all individuals born between April 1972 and March 1973 in Dunedin, New Zealand (NZ), who were eligible based on residence in the province and who participated in the first assessment at age 3 ( 25 ). The cohort represented the full range of socioeconomic status (SES) in the general population of NZ’s South Island and as adults matched the NZ National Health and Nutrition Survey on key adult health indicators (eg, body mass index, smoking, GP visits) and the NZ Census of citizens of the same age on educational attainment ( 26 ). The cohort is primarily white (93%), matching South Island demographics ( 25 ).…”
Section: Methodsmentioning
confidence: 99%
“…Participants ( n = 1037; 91% of eligible births; 52% male) were all individuals born between April 1972 and March 1973 in Dunedin, New Zealand (NZ), who were eligible based on residence in the province and who participated in the first assessment at age 3 ( 25 ). The cohort represented the full range of socioeconomic status (SES) in the general population of NZ’s South Island and as adults matched the NZ National Health and Nutrition Survey on key adult health indicators (eg, body mass index, smoking, GP visits) and the NZ Census of citizens of the same age on educational attainment ( 26 ). The cohort is primarily white (93%), matching South Island demographics ( 25 ).…”
Section: Methodsmentioning
confidence: 99%
“…The tendency to engage in antisocial behaviors such as violence, rule-breaking, and bullying varies significantly across the population, with a small proportion of individuals responsible for the majority of serious antisocial acts. For example, large cohort studies estimate that the most antisocial 1–10% of the population is responsible for more than two thirds of all criminal convictions [ 14 16 ], and 5% of the population is responsible for almost half of all lying [ 17 ]. Engagement in antisocial behaviors has been associated with behaviors specifically relevant to public health risks as well, including physical violence [ 18 21 ], unsafe driving [ 22 , 23 ], and risky sex practices [ 24 27 ].…”
Section: Introductionmentioning
confidence: 99%
“…The cohort represented the full range of socioeconomic status in the general population of New Zealand's South Island. On adult health, the cohort matches the New Zealand National Health and Nutrition Survey on key health indicators (e.g., body mass index, smoking, and visits to the doctor) and matches the New Zealand Census of people the same age on educational attainment ( 72 ).…”
Section: Methodsmentioning
confidence: 99%